Hindawi Publishing CorporationInternational Journal of Stochastic AnalysisVolume 2013 Article ID 790709 13 pageshttpdxdoiorg1011552013790709
Research ArticleTime Reversal of Volterra Processes Driven StochasticDifferential Equations
L Decreusefond
Institut Telecom-Telecom ParisTech-CNRS LTCI 75013 Paris France
Correspondence should be addressed to L Decreusefond laurentdecreusefondtelecom-paristechfr
Received 18 June 2012 Accepted 27 December 2012
Academic Editor Ciprian A Tudor
Copyright copy 2013 L Decreusefond This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited
We consider stochastic differential equations driven by some Volterra processes Under time reversal these equations aretransformed into past-dependent stochastic differential equations driven by a standard Brownian motion We are then in positionto derive existence and uniqueness of solutions of the Volterra driven SDE considered at the beginning
1 Introduction
Fractional Brownian motion (fBm for short) of Hurst index119867 isin [0 1] is the Gaussian process which admits the followingrepresentation for any 119905 ge 0
119861119867(119905) = int
119905
0
119870119867(119905 119904) d119861 (119904) (1)
where 119861 is a one-dimensional Brownian motion and 119870119867is a
triangular kernel that is119870119867(119905 119904) = 0 for 119904 gt 119905 the definition
of which is given in (46) Fractional Brownian motion isprobably the first process which is not a semimartingale andfor which it is still interesting to develop a stochastic calculusThat means we want to define a stochastic integral and solvestochastic differential equations driven by such a processFrom the very beginning of this program two approaches doexist One approach is based on the Holder continuity or thefinite 119901 variation of the fBm sample paths The other way toproceed relies on the gaussianity of fBmThe former ismainlydeterministic and was initiated by Zahle [1] Feyel and de laPradelle [2] and Russo and Vallois [3 4] Then came thenotion of rough paths was introduced by Lyons [5] whoseapplication to fBm relies on the work of Coutin and Qian [6]These works have been extended in the subsequent works [7ndash17] A new way of thinking came with the independent butrelated works of Feyel de la Pradelle [18] and Gubinelli [19]The integral with respect to fBm was shown to exist as theunique process satisfying some characterization (analytic in
the case of [18] algebraic in [19]) As a byproduct this showedthat almost all the existing integrals throughout the literaturewere all the same as they all satisfy these two conditionsBehind each approach but the last too is a constructionof an integral defined for a regularization of fBm thenthe whole work is to show that under some convenienthypothesis the approximate integrals converge to a quantitywhich is called the stochastic integral with respect to fBmThe main tool to prove the convergence is either integrationby parts in the sense of fractional deterministic calculus orenrichment of the fBm by some iterated integrals proved toexist independently or by analytic continuation [20 21]
In the probabilistic approach [22ndash30] the idea is also todefine an approximate integral and then prove its conver-gence It turns out that the key tool is here the integration byparts in the sense of Malliavin calculus
In dimension greater than one with the deterministicapproach one knows how to define the stochastic integral andprove existence and uniqueness of fBm-driven SDEs for fBmwith Hurst index greater than 14 Within the probabilisticframework one knows how to define a stochastic integral forany value of119867but one cannot prove existence anduniquenessof SDEs whatever the value of119867 The primary motivation ofthis work is to circumvent this problem
In [26 27] we defined stochastic integrals with respectto fBm as a ldquodamped-Stratonovitchrdquo integral with respectto the underlying standard Brownian motion This integralis defined as the limit of Riemann-Stratonovitch sums
2 International Journal of Stochastic Analysis
the convergence of which is proved after an integration byparts in the sense of Malliavin calculus Unfortunately thismanipulation generates nonadaptiveness formally the resultcan be expressed as
int
119905
0
119906 (119904) ∘ d119861119867 (119904) = 120575 (Klowast
119905119906) + trace (Klowast
119905nabla119906) (2)
whereK is defined by
K119891 (119905) =119889
119889119905int
119905
0
119870119867 (119905 119904) 119891 (119904) d119904 (3)
and Klowast
119905is the adjoint of K in L2
([0 119905]R) In particularthere exists 119896 such that
Klowast
119905119891 (119904) = int
119905
119904
119896 (119905 119906) 119891 (119906) d119906 (4)
for any 119891 isin L2([0 119905]R) so that even if 119906 is adapted (with
respect to the Brownian filtration) the process (119904 997891rarrKlowast
119905119906(119904))
is anticipative However the stochastic integral process (119905 997891rarrint119905
0119906(119904) ∘ d119861119867(119904)) remains adapted hence the anticipative
aspect is in some sense artificialThemotivation of this workis to show that up to time reversal we can work with adaptedprocess and Ito integralsThe time-reversal properties of fBmwere already studied in [31] in a different context It wasshown there that the time reversal of the solution of an fBm-driven SDE of the form
119889119884 (119905) = 119906 (119884 (119905)) d119905 + d119861119867 (119905) (5)
is still a process of the same form With a slight adaptationof our method to fBm-driven SDEs with drift one shouldrecover the main theorem of [31]
In what follows there is no restriction on the dimensionbut we need to assume that any component of 119861119867 is an fBm ofHurst index greater than 12 Consider that we want to solvethe following equation
119883119905= 119909 + int
119905
0
120590 (119883119904) ∘ d119861119867 (119904) 0 le 119905 le 119879 (6)
where 120590 is a deterministic function whose properties will befixed below It turns out that it is essential to investigate themore general equations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119861119867 (119904) 0 le 119903 le 119905 le 119879 (A1015840
)
The strategy is then as follows We will first consider thereciprocal problem
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119861119867 (119904) 0 le 119903 le 119905 le 119879 (B1015840)
The first critical point is that when we consider 119885119903119905=
119884119905minus119903119905
119903 isin [0 119905] this process solves an adapted past-dependent and stochastic differential equation with respectto a standard Brownian motion Moreover because 119870
119867
is lower-triangular and sufficiently regular the trace term
vanishes in the equation defining 119885 We have then reducedthe problem to an SDE with coefficients dependent on thepast a problem which can be handled by the usual contrac-tion methods We do not claim that the results presentedare new (for instance see the brilliant monograph [32] fordetailed results obtained via rough paths theory) but it seemsinteresting to have purely probabilistic methods which showthat fBm driven SDEs do have strong solutions which arehomeomorphisms Moreover the approach given here showsthe irreducible difference between the case119867 lt 12 and119867 gt
12 The trace term only vanishes in the latter situation sothat such an SDE is merely a usual SDE with past-dependentcoefficients This representation may be fruitful for instanceto analyze the support and prove the absolute continuity ofsolutions of (6)
This paper is organized as follows After some preliminar-ies on fractional Sobolev spaces often called Besov-Liouvillespace we address in Section 3 the problem of Malliavincalculus and time reversal This part is interesting in its ownsince stochastic calculus of variations is a framework oblivi-ous to time Constructing such a notion of time is achievedusing the notion of resolution of the identity as introduced in[33 34] We then introduce the second key ingredient whichis the notion of strict causality or quasinilpotence see [35]for a related application In Section 4 we show that solving(B1015840) reduces to solve a past-dependent stochastic differentialequation with respect to a standard Brownian motion see(C) below Then we prove existence uniqueness and someproperties of this equation Technical lemmas are postponedto Section 5
2 Besov-Liouville Spaces
Let 119879 gt 0 be fix real number For a measurable function 119891 [0 119879] rarr R119899 we define 120591
119879119891 by
120591119879119891 (119904) = 119891 (119879 minus 119904) for any 119904 isin [0 119879] (7)
For 119905 isin [0 119879] 119890119905119891 will represent the restriction of 119891 to [0 119905]
that is 119890119905119891 = 1198911
[0119905] For any linear map 119860 we denote by 119860lowast
119879
its adjoint in L2([0 119879]R119899) For 120578 isin (0 1] the space of 120578-
Holder continuous functions on [0 119879] is equipped with thenorm
10038171003817100381710038171198911003817100381710038171003817Hol(120578) = sup
0lt119904lt119905lt119879
1003816100381610038161003816119891 (119905) minus 119891 (119904)1003816100381610038161003816
|119905 minus 119904|120578
+10038171003817100381710038171198911003817100381710038171003817infin (8)
Its topological dual is denoted by Hol(120578)lowast For 119891 isin
L1([0 119879] R119899 d119905) (denoted by L1 for short) the left and
right fractional integrals of 119891 are defined by
(119868120574
0+119891) (119909) =
1
Γ (120574)int
119909
0
119891 (119905) (119909 minus 119905)120574minus1d119905 119909 ge 0
(119868120574
119879minus119891) (119909) =
1
Γ (120574)int
119879
119909
119891 (119905) (119905 minus 119909)120574minus1d119905 119909 le 119879
(9)
International Journal of Stochastic Analysis 3
where 120574 gt 0 and 11986800+ = 119868
0
119879minus = Id For any 120574 ge 0 119901 119902 ge 1 any
119891 isinL119901 and 119892 isinL119902 where 119901minus1 + 119902minus1 le 120574 we have
int
119879
0
119891 (119904) (119868120574
0+119892) (119904) d119904 = int
119879
0
(119868120574
119879minus119891) (119904) 119892 (119904) d119904 (10)
The Besov-Liouville space 1198681205740+(L119901
) = I+
120574119901is usually
equipped with the norm10038171003817100381710038171003817119868120574
0+11989110038171003817100381710038171003817I+120574119901
=10038171003817100381710038171198911003817100381710038171003817L119901
(11)
Analogously the Besov-Liouville space 119868120574119879minus(L119901
) = Iminus
120574119901
is usually equipped with the norm10038171003817100381710038171003817119868minus120574
119879minus11989110038171003817100381710038171003817Iminus120574119901
=10038171003817100381710038171198911003817100381710038171003817L119901
(12)
We then have the following continuity results (see [2 36])
Proposition 1 Consider the following(i) If 0 lt 120574 lt 1 1 lt 119901 lt 1120574 then 119868120574
0+is a bounded
operator fromL119901 intoL119902 with 119902 = 119901(1 minus 120574119901)minus1(ii) For any 0 lt 120574 lt 1 and any 119901 ge 1 I+
120574119901is continuously
embedded in119867119900119897(120574 minus 1119901) provided that 120574 minus 1119901 gt 0(iii) For any 0 lt 120574 lt 120573 lt 1 Hol (120573) is compactly
embedded inI120574infin
(iv) For 120574119901 lt 1 the spaces I+
120574119901and Iminus
120574119901are canonically
isomorphic We will thus use the notation I120574119901
todenote any of these spaces
3 Malliavin Calculus and Time Reversal
Our reference probability space is Ω = C0([0 119879]R119899) the
space of R119899-valued continuous functions null at time 0 TheCameron-Martin space is denoted by H and is defined asH = 119868
1
0+(L
2([0 119879])) In what follows the space L2
([0 119879])
is identified with its topological dual We denote by 120581
the canonical embedding from H into Ω The probabilitymeasure P on Ω is such that the canonical map 119882
120596 997891rarr (120596(119905) 119905 isin [0 119879]) defines a standard 119899-dimensionalBrownian motion A mapping 120601 fromΩ into some separableHilbert space H is called cylindrical if it is of the form120601(119908) = sum
119889
119894=1119891119894(⟨119907
1198941 119908⟩ ⟨119907
119894119899 119908⟩)119909
119894 where for each 119894119891
119894isin
Cinfin
0(R119899R) and (119907
119894119895 119895 = 1 119899) is a sequence of Ωlowast For
such a function we define nablaW120601 as
nablaW120601 (119908) = sum
119894119895=1
120597119895119891119894(⟨119907
1198941 119908⟩ ⟨119907
119894119899 119908⟩) 119907
119894119895otimes 119909
119894
(13)
where 119907 is the image of 119907 isin Ωlowast by the map (11986810+ ∘ 120581)
lowast Fromthe quasi-invariance of the Wiener measure [37] it followsthat nablaW is a closable operator on 119871119901(ΩH) 119901 ge 1 and wewill denote its closure with the same notation The powers ofnablaW are defined by iterating this procedure For 119901 gt 1 119896 isin N
we denote byD119901119896(H) the completion ofH-valued cylindrical
functions under the following norm
10038171003817100381710038171206011003817100381710038171003817119901119896
=
119896
sum
119894=0
10038171003817100381710038171003817(nabla
W)11989412060110038171003817100381710038171003817119871119901(ΩHotimesL119901([01])otimes119894)
(14)
We denote by L1199011
the space D1199011(L119901
([0 119879] R119899)) Thedivergence denoted as 120575W is the adjoint of nablaW 119907 belongsto Dom
119901120575W whenever for any cylindrical 120601
100381610038161003816100381610038161003816100381610038161003816
E [int119879
0
119907119904nablaW119904120601d119904]
100381610038161003816100381610038161003816100381610038161003816
le 11988810038171003817100381710038171206011003817100381710038171003817119871119901
(15)
and for such a process 119907
E [int119879
0
119907119904nablaW119904120601d119904] = E [120601 120575W119907] (16)
We introduced the temporary notation 119882 for standardBrownian motion to clarify the forthcoming distinctionbetween a standard Brownian motion and its time reversalActually the time reversal of a standard Brownian is also astandard Brownian motion and thus both of them ldquoliverdquo inthe sameWiener space We now precise how their respectiveMalliavin gradient and divergence are linked Consider 119861 =(119861(119905) 119905 isin [0 119879]) an 119899-dimensional standard Brownianmotion and 119879 = (119861(119879)minus119861(119879minus119905) 119905 isin [0 119879]) its time reversalConsider the following map
Θ119879 Ω 997888rarr Ω
120596 997891997888rarr = 120596 (119879) minus 120591119879120596
(17)
and the commutative diagram
ℒ2
ℒ2
120591119879
Ω sup H H sub ΩΘ119879
1198681
0+ 119868
1
0+
(18)
Note that Θminus1
119879= Θ
119879since 120596(0) = 0 For a function 119891 isin
Cinfin
119887(R119899119896) we define the following
nabla119903119891 (120596 (119905
1) 120596 (119905
119896))
=
119896
sum
119895=1
120597119895119891 (120596 (119905
1) 120596 (119905
119896)) 1
[0119905119895] (119903)
nabla119903119891 ( (119905
1) (119905
119896))
=
119896
sum
119895=1
120597119895119891 ( (119905
1) (119905
119896)) 1
[0119905119895] (119903)
(19)
The operator nabla = nabla119861 (resp nabla = nabla
) is the Malliavingradient associated with a standard Brownian motion (respits time reversal) Since
119891 ( (1199051) (119905
119896))
= 119891 (120596 (119879) minus 120596 (119879 minus 1199051) 120596 (119879) minus 120596 (119879 minus 119905119896))
(20)
4 International Journal of Stochastic Analysis
we can consider 119891((1199051) (119905
119896)) as a cylindrical function
with respect to the standard Brownian motion As such itsgradient is given by
nabla119903119891 ( (119905
1) (119905
119896))
=
119896
sum
119895=1
120597119895119891 ( (119905
1) (119905
119896)) 1
[119879minus119905119895119879] (119903)
(21)
We thus have for any cylindrical function 119865
nabla119865 ∘ Θ119879 (120596) = 120591119879nabla119865 () (22)
Since Θlowast
119879P = P and 120591
119879is continuous from L119901 into itself
for any 119901 it is then easily shown that the spacesD119901119896
and D119901119896
(with obvious notations) coincide for any 119901 119896 and that (22)holds for any element of one of these spaces Hence we haveproved the following theorem
Theorem 2 For any 119901 ge 1 and any integer 119896 the spaces D119901119896
and D119901119896
coincide For any 119865 isin D119901119896
for some 119901 119896
nabla (119865 ∘ Θ119879) = 120591
119879nabla (119865 ∘ Θ
119879) P as (23)
By duality an analog result follows for divergences
Theorem 3 A process 119906 belongs to the domain of 120575 if andonly if 120591
119879119906 belongs to the domain of 120575 and then the following
equality holds
120575 (119906 ()) () = 120575 (120591119879119906 ()) (120596) = 120575 (120591119879119906 ∘ Θ119879) (120596) (24)
Proof For119906 isinL2 for cylindrical119865 we have on the one hand
E [119865 () 120575119906 ()] = E [(nabla119865 () 119906)L2] (25)
and on the other hand
E [(nabla119865 () 119906)L2] = E [(120591
119879nabla119865 ∘ Θ
119879 (120596) 119906)L2]
= E [(nabla119865 ∘ Θ119879 (120596) 120591119879119906)L2
]
= E [119865 ∘ Θ119879 (120596) 120575 (120591119879119906) (120596)]
= E [119865 () 120575 (120591119879119906) (120596)]
(26)
Since this is valid for any cylindrical 119865 (24) holds for 119906 isinL2Now for 119906 in the domain of divergence (see [37 38])
120575119906 = sum
119894
((119906 ℎ119894)L2120575ℎ
119894minus (nabla119906 ℎ
119894otimes ℎ
119894)L2otimesL2
) (27)
where (ℎ119894 119894 isin N) is an orthonormal basis ofL2
([0 119879] R119899)Thus we have
120575 (119906 ()) () = sum
119894
((119906 () ℎ119894)L2120575ℎ119894 ()
minus(nabla119906 () ℎ119894 otimes ℎ119894)L2otimesL2)
= sum
119894
((119906 () ℎ119894)L2120575 (120591
119879ℎ119894) (120596)
minus(nabla119906 () 120591119879ℎ119894 otimes ℎ119894)L2otimesL2)
= sum
119894
((120591119879119906 () 120591119879ℎ119894)L2
120575 (120591119879ℎ119894) (120596)
minus(nabla120591119879119906 () 120591119879ℎ119894 otimes 120591119879ℎ119894)L2otimesL2
)
(28)
where we have taken into account that 120591119879is in an involution
Since (ℎ119894 119894 isin N) is an orthonormal basis of L2
([0 119879] R119899)identity (24) is satisfied for any 119906 in the domain of 120575
31 Causality and Quasinilpotence In anticipative calculusthe notion of trace of an operator plays a crucial roleWe referto [39] for more details on trace
Definition 4 Let 119881 be a bounded map from L2([0 119879] R119899)
into itself The map 119881 is said to be trace class whenever forone CONB (ℎ
119899 119899 ge 1) ofL2
([0 119879] R119899)
sum
119899ge1
1003816100381610038161003816(119881ℎ119899 ℎ119899)L21003816100381610038161003816 is finite (29)
Then the trace of 119881 is defined by
trace (119881) = sum119899ge1
(119881ℎ119899 ℎ
119899)L2 (30)
It is easily shown that the notion of trace does not dependon the choice of the CONB
Definition 5 A family 119864 of projections (119864120582 120582 isin [0 1])
in L2([0 119879] R119899) is called a resolution of the identity if it
satisfies the conditions
(1) 1198640= 0 and 119864
1= Id
(2) 119864120582119864120583= 119864
120582and120583
(3) lim120583darr120582119864120583= 119864
120582for any 120582 isin [0 1) and lim
120583uarr1119864120583= Id
For instance the family 119864 = (119890120582119879 120582 isin [0 1]) is a
resolution of the identity inL2([0 119879] R119899)
Definition 6 A partition 120587 of [0 119879] is a sequence 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 Its mesh is denoted by |120587| and defined by
|120587| = sup119894|119905119894+1minus 119905
119894|
The causality plays a crucial role in what followsThe nextdefinition is just the formalization in terms of operator of theintuitive notion of causality
International Journal of Stochastic Analysis 5
Definition 7 A continuous map 119881 from L2([0 119879] R119899) into
itself is said to be 119864 causal if and only if the followingcondition holds
119864120582119881119864
120582= 119864
120582119881 for any 120582 isin [0 1] (31)
For instance an operator 119881 in integral form 119881119891(119905) =
int119879
0119881(119905 119904)119891(119904)d119904 is causal if and only if 119881(119905 119904) = 0 for 119904 ge 119905
that is computing119881119891(119905) needs only the knowledge of 119891 up totime 119905 and not after Unfortunately this notion of causality isinsufficient for our purpose and we are led to introduce thenotion of strict causality as in [40]
Definition 8 Let 119881 be a causal operator It is a strictly causaloperator whenever for any 120576 gt 0 there exists a partition 120587 of[0 119879] such that for any 1205871015840 = 0 = 119905
0lt 119905
1lt sdot sdot sdot lt 119905
119899= 119879 sub 120587
10038171003817100381710038171003817(119864
119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)10038171003817100381710038171003817L2
lt 120576 for 119894 = 0 119899 minus 1(32)
Note carefully that the identity map is causal but notstrictly causal Indeed if 119881 = Id for any 119904 lt 119905
1003817100381710038171003817(119864119905 minus 119864119904)119881(119864119905 minus 119864119904)1003817100381710038171003817L2
=1003817100381710038171003817119864119905 minus 119864119904
1003817100381710038171003817L2= 1 (33)
since 119864119905minus 119864
119904is a projection However if 119881 is hyper-contract-
ive we have the following result
Lemma 9 Assume the resolution of the identity to be either119864 = (119890
120582119879 120582 isin [0 1]) or 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) If 119881 is
an 119864 causal map continuous fromL2 intoL119901 for some 119901 gt 2then 119881 is strictly 119864 causal
Proof Let 120587 be any partition of [0 119879] Assume that 119864 =
(119890120582119879 120582 isin [0 1]) and the very same proof works for the other
mentioned resolution of the identity According to Holderformula we have for any 0 le 119904 lt 119905 le 119879
1003817100381710038171003817(119864119905 minus 119864119904) 119881 (119864119905 minus 119864119904) 1198911003817100381710038171003817L2
= int
119905
119904
1003816100381610038161003816119881(1198911(119904119905])(119906)1003816100381610038161003816
2d119906
le (119905 minus 119904)1minus21199011003817100381710038171003817119881(1198911(119904119905])
1003817100381710038171003817L1199012
le 119888 (119905 minus 119904)1minus21199011003817100381710038171003817119891
1003817100381710038171003817L2
(34)
Then for any 120576 gt 0 there exists 120578 gt 0 such that |120587| lt 120578
implies (119864119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)119891L2 le 120576 for any 0 = 1199050 lt1199051lt sdot sdot sdot lt 119905
119899= 119879 sub 120587 and any 119894 = 0 119899 minus 1
The importance of strict causality lies in the next theoremwe borrow from [40]
Theorem 10 The set of strictly causal operators coincides withthe set of quasinilpotent operators that is trace-class operatorssuch that trace(119881119899) = 0 for any integer 119899 ge 1
Moreover we have the following stability theorem
Theorem 11 The set of strictly causal operators is a two-sidedideal in the set of causal operators
Definition 12 Let 119864 be a resolution of the identity inL2([0 119879]R119899) Consider the filtrationF119864 defined as
F119864
119905= 120590 120575
W(119864
120582ℎ) 120582 le 119905 ℎ isinL
2 (35)
An L2-valued random variable 119906 is said to be F119864 adaptedif for any ℎ isin L2 the real valued process ⟨119864
120582119906 ℎ⟩ is F119864-
adaptedWedenote byD119864
119901119896(H) the set ofF119864 adapted random
variables belonging to D119901119896(H)
If 119864 = (119890120582119879 120582 isin [0 1]) the notion of F119864 adapted proc-
esses coincides with the usual one for the Brownian filtrationand it is well known that a process 119906 is adapted if and only ifnablaW119903119906(119904) = 0 for 119903 gt 119904 This result can be generalized to any
resolution of the identity
Theorem 13 (Proposition 31 of [33]) Let 119906 belongs to L1199011
Then 119906 isF119864 adapted if and only if nablaW119906 is 119864 causal
We then have the following key theorem
Theorem 14 Assume the resolution of the identity to be 119864 =(119890120582119879 120582 isin [0 1]) either 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) and that
119881 is an 119864-strictly causal continuous operator fromL2 intoL119901
for some 119901 gt 2 Let 119906 be an element of D119864
21(L2
) Then 119881nablaW119906
is of trace class and we have trace(119881nablaW119906) = 0
Proof Since 119906 is adapted nablaW119906 is 119864-causal According to
Theorem 11 119881nablaW119906 is strictly causal and the result follows by
Theorem 10
In what follows 1198640 is the resolution of the identity inthe Hilbert space L2 defined by 119890
120582 119879119891 = 1198911
[0120582119879]and 0 is
the resolution of the identity defined by 119890120582119879119891 = 1198911
[(1minus120582)119879119879]
The filtrations F1198640
and F0
are defined accordingly Nextlemma is immediate when 119881 is given in the form of 119881119891(119905) =int119905
0119881(119905 119904)119891(119904)d119904 Unfortunately such a representation as an
integral operator is not always available We give here analgebraic proof to emphasize the importance of causality
Lemma 15 Let 119881 be a map from L2([0 119879] R119899) into itself
such that 119881 is 1198640-causal Let 119881lowast be the adjoint of 119881 inL2([0 119879]R119899) Then the map 120591
119879119881lowast
119879120591119879is 0-causal
Proof This is a purely algebraic lemma once we have noticedthat
120591119879119890119903= (Id minus 119890
119879minus119903) 120591
119879for any 0 le 119903 le 119879 (36)
For it suffices to write
120591119879119890119903119891 (119904) = 119891 (119879 minus 119904) 1[0119903] (119879 minus 119904)
= 119891 (119879 minus 119904) 1[119879minus119903119879] (119904)
= (Id minus 119890119879minus119903) 120591
119879119891 (119904) for any 0 le 119904 le 119879
(37)
6 International Journal of Stochastic Analysis
We have to show that
119890119903120591119879119881lowast
119879120591119879119890119903= 119890
119903120591119879119881lowast
119879120591119879or equivalently (38)
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903 (39)
since 119890lowast119903= 119890
119903and 120591lowast
119879= 120591
119879 Now (37) yields
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903minus 119890
119879minus119903119881120591
119879119890119903 (40)
Use (37) again to obtain
119890119879minus119903119881120591
119879119890119903= 119890
119879minus119903119881 (Id minus 119890
119879minus119903) 120591
119879
= (119890119879minus119903119881 minus 119890
119879minus119903119881119890
119879minus119903) 120591
119879= 0
(41)
since 119881 is 119864-causal
32 Stratonovitch Integrals In what follows 120578 belongs to(0 1] and 119881 is a linear operator For any 119901 ge 2 we set thefollowing
Hypothesis 1 (119901 120578) The linear map 119881 is continuous fromL119901
([0 119879]R119899) into the Banach space Hol(120578)
Definition 16 Assume that Hypothesis 1 (119901 120578) holds TheVolterra process associated to 119881 denoted by119882119881 is definedby
119882119881(119905) = 120575
W(119881 (1
[0119905])) forall 119905 isin [0 119879] (42)
For any subdivision 120587 of [0 119879] that is 120587 = 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 of mesh |120587| we consider the Stratonovitch
sums
119877120587(119905 119906) = 120575
W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881119906 (119903) d119903 1[119905119894119905119894+1))
+ sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119906) (119904) d119904 d119903
(43)
Definition 17 We say that 119906 is 119881-Stratonovitch integrable on[0 119905]whenever the family 119877120587(119905 119906) defined in (43) convergesin probability as |120587| goes to 0 In this case the limit will bedenoted by int119905
0119906(119904) ∘ d119882119881
(119904)
Example 18 Thefirst example is the so-called Levy fractionalBrownian motion of Hurst index119867 gt 12 defined as
1
Γ (119867 + 12)int
119905
0
(119905 minus 119904)119867minus12d119861
119904= 120575 (119868
119867minus12
119879minus (1
[0119905])) (44)
This amounts to say that 119881 = 119868119867minus12
119879minus
ThusHypothesis 1 (119901119867 minus 12 minus 1119901) holds provided that119901(119867 minus 12) gt 1
Example 19 The other classical example is the fractionalBrownian motion with stationary increments of Hurst index119867 gt 12 which can be written as
int
119905
0
119870119867 (119905 119904) d119861 (119904) (45)
where
119870119867 (119905 119903)
=(119905 minus 119903)
119867minus(12)
Γ (119867 + (12))119865 (
1
2minus 119867119867 minus
1
2119867 +
1
2 1 minus
119905
119903)
times 1[0119905) (119903)
(46)
The Gauss hypergeometric function 119865(120572 120573 120574 119911) (see [41]) isthe analytic continuation on C times C times C minus1 minus2 times 119911 isin
C Arg|1 minus 119911| lt 120587 of the power series
+infin
sum
119896=0
(120572)119896(120573)119896
(120574)119896119896119911119896
(119886)0 = 1
(119886)119896 =Γ (119886 + 119896)
Γ (119886)= 119886 (119886 + 1) sdot sdot sdot (119886 + 119896 minus 1)
(47)
We know from [36] that 119870119867
is an isomorphism from L119901
([0 1]) ontoI+
119867+12119901and
119870119867119891 = 119868
1
0+119909
119867minus12119868119867minus12
0+ 119909
12minus119867119891 (48)
Consider thatK119867= 119868
minus1
0+ ∘ 119870119867 Then it is clear that
int
119905
0
119870119867 (119905 119904) d119861 (119904) = int
119905
0
(K119867)lowast
119879(1[0119905]) (119904) d119861 (119904) (49)
hence we are in the framework of Definition 17 provided thatwe take 119881 = (K
119867)lowast
119879 Hypothesis 1 (119901119867 minus 12 minus 1119901) is
satisfied provided that 119901(119867 minus 12) gt 1
The next theorem then follows from [26]
Theorem 20 Assume that Hypothesis 1 (119901 120578) holds Assumethat 119906 belongs toL
1199011Then 119906 is119881-Stratonovitch integrable and
there exists a process which we denote by 119863W119906 such that 119863W
119906
belongs to 119871119901(P otimes 119889119904) and
int
119879
0
119906 (119904) ∘ dWV(s) = 120575W (Vu) + int
T
0DWu (s) ds (50)
The so-called ldquotrace-termrdquo satisfies the following estimate
E [int119879
0
10038161003816100381610038161003816119863
W119906(119903)
10038161003816100381610038161003816
119901
dr] le 119888 119879119901120578119906119901L1199011
(51)
for some universal constant 119888 Moreover for any 119903 le 119879 119890119903119906 is
119881-Stratonovitch integrable and
int
119903
0
119906 (119904) ∘ dWV(s)
= int
119879
0
(119890119903119906) (119904) ∘ dWV
(s)
= 120575W(119881119890
119903119906) + int
119903
0
119863W119906 (119904) ds
(52)
International Journal of Stochastic Analysis 7
and we have the maximal inequality
E[10038171003817100381710038171003817100381710038171003817
int
0
119906(119904) ∘ dWV(s)10038171003817100381710038171003817100381710038171003817
119901
Hol (120578)] le 119888 119906
119901
L1199011
(53)
where 119888 does not depend on 119906
The main result of this Section is the following theoremwhich states that the time reversal of a Stratonovitch integralis an adapted integral with respect to the time-reversedBrownian motion Due to its length its proof is postponedto Section 51
Theorem 21 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011and let
119879= 120591
119905119881120591
119879 Assume furthermore that
119881 is 0-causal and that = 119906 ∘ Θminus1
119879isF
0-adapted Then
int
119879minus119903
119879minus119905
120591119879119906 (119904) ∘ dWV
(s)
= int
119905
119903
119879(1[119903119905]) (119904) dBT
(s) 0 le r le t le T(54)
where the last integral is an Ito integral with respect to the timereversed Brownianmotion 119879(119904) = 119861(119879)minus119861(119879minus119904) = Θ
119879(119861)(119904)
Remark 22 Note that at a formal level we could have an easyproof of this theorem For instance consider the Levy fBmand a simple computation shows that
119879= 119868
119867minus12
0+
for any119879 Thus we are led to compute trace(119868119867minus12
0+
nabla119906) If we hadsufficient regularity we could write
trace (119868119867minus120+ nabla119906) = int
119879
0
int
119904
0
(119904 minus 119903)119867minus32
nabla119904119906 (119903) d119903 d119904 = 0
(55)
since nabla119904119906(119903) = 0 for 119904 gt 119903 for 119906 adapted Obviously there are
many flaws in these lines of proof The operator 119868119867minus120+
nabla119906 isnot regular enough for such an expression of the trace to betrue Even more there is absolutely no reason for
119879nabla119906 to be
a kernel operator so we cannot hope such a formula Theseare the reasons that we need to work with operators and notwith kernels
4 Volterra-Driven SDEs
LetG be the group of homeomorphisms ofR119899 equipped withthe distance We introduce a distance 119889 onG by
119889 (120593 120601) = 120588 (120593 120601) + 120588 (120593minus1 120601
minus1) (56)
where
120588 (120593 120601) =
infin
sum
119873=1
2minus119873
sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
1 + sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
sdot (57)
Then G is a complete topological group Consider theequations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (A)
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (B)
As a solution of (A) is to be constructed by ldquoinvertingrdquoa solution of (B) we need to add to the definition of asolution of (A) or (B) the requirement of being a flowof homeomorphisms This is the meaning of the followingdefinition
Definition 23 By a solution of (A) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119883119903119905 (120596 119909))
(58)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119883119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905-measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119905) 997891rarr 119883
119903119905(120596 119909) and (120596 119905) 997891rarr 119883
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119883119903119905 (120596 119909) = 119883119904119905
(120596119883119903119904 (120596 119909)) (59)
(4) Equation (A) is satisfied for any 0 le 119903 le 119905 le 119879 P-as
Definition 24 By a solution of (B) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119884119903119905 (120596 119909))
(60)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119884119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119884
119903119905(120596 119909) and (120596 119903) 997891rarr 119884
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (B) is satisfied for any 0 le 119903 le 119905 le 119879 P-as(4) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (61)
At last consider the equation for any 0 le 119903 le 119905 le 119879
119885119903119905= 119909 minus int
119905
119903
119879(120590 ∘ 119885
1199051[119903119905]) (119904) d119879 (119904) (C)
where 119861 is a standard 119899-dimensional Brownian motion
8 International Journal of Stochastic Analysis
Definition 25 By a solution of (C) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119885119903119905 (120596 119909))
(62)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119885119903119905(120596 119909) is
120590119879(119904) 119904 le 119903 le 119905measurable
(2) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119885
119903119905(120596 119909) and (120596 119903) 997891rarr 119885
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (C) is satisfied for any 0 le 119903 le 119905 le 119879P-as
Theorem 26 Assume that 119879is an 1198640 causal map continuous
from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1Assume that 120590 is Lipschitz continuous and sublinear see (96)for the definition Then there exists a unique solution to (C)Let 119885 denote this solution For any (119903 1199031015840)
E [1003816100381610038161003816119885119903119879 minus 1198851199031015840 1198791003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(63)
Moreover
(120596 119903) 997891997888rarr 119885119903119904(120596 119885
119904119905 (120596 119909)) isin L1199011
for any 119903 le 119904 le 119905 le 119879(64)
Since this proof needs several lemmas we defer it toSection 52
Theorem 27 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 2 such that 120572119901 gt 1 Forfixed 119879 there exists a bijection between the space of solutionsof (B) on [0 119879] and the set of solutions of (C)
Proof Set
119885119903119879 ( 119909) = 119884119879minus119903119879 (Θ
minus1
119879() 119909) (65)
or equivalently
119884119903119879 (120596 119909) = 119885119879minus119903119879 (Θ119879 (120596) 119909) (66)
According to Theorem 21 119884 satisfies (B) if and only if 119885satisfies (C) The regularity properties are immediate sinceL119901 is stable by 120591
119879
The first part of the next result is then immediate
Corollary 28 Assume that 119879is an 1198640-causal map contin-
uous from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 2 such that120572119901 gt 1 Then (B) has one and only one solution and for any0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (67)
Proof According toTheorems 27 and 26 (B) has at most onesolution since (C) has a unique solution As to the existencepoints from (1) to (3) are immediately deduced from thecorresponding properties of 119885 and (66)
According to Theorem 26 (120596 119903) 997891rarr 119884119903119904(120596 119884
119904119905(120596 119909))
belongs to L1199011 hence we can apply the substitution formula
and119884119903119904(120596 119884
119904119905 (120596 119909))
= 119884119904119905 (120596 119909) minus int
119904
119903
120590 (119884120591119904 (120596 119909)) ∘ d119882
119881(120591)
10038161003816100381610038161003816100381610038161003816119909=119884119904119905(120596119909)
= 119909 minus int
119905
119904
120590 (119884120591119905 (120596 119909) ∘ d119882
119881(120591)
minus int
119904
119903
120590 (119884120591119904(120596 119884
119904119905 (120596 119909)) ) ∘ d119882119881(120591)
(68)
Set
119877120591119905=
119884120591119905 (120596 119909) for 119904 le 120591 le 119905119884120591119904(120596 119884
119904119905 (120596 119909)) for 119903 le 120591 le 119904(69)
Then in view of (68) 119877 appears to be the unique solution (B)and thus 119877
119904119905(120596 119909) = 119884
119904119905(120596 119909) Point (4) is thus proved
Corollary 29 For 119909 fixed the random field (119884119903119905(119909) 0 le 119903 le
119905 le 119879) admits a continuous version Moreover
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(70)
We still denote by 119884 this continuous version
Proof Without loss of generality assume that 119904 le 1199041015840 and
remark that 1198841199041199041015840(119909)
thus belongs to 120590119879119906 119906 ge 119904
E [1003816100381610038161003816119884119903119904(119909) minus 11988411990310158401199041015840(119909)1003816100381610038161003816
119901]
le 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 1199041015840 (119909)1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119885119904minus119903119904 (119909) minus 119885119904minus1199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
(71)
According toTheorem 37
E [1003816100381610038161003816119885119904minus119903119904(119909) minus 119885119904minus1199031015840 119904(119909)1003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(1 + |119909|119901) (72)
In view of Theorem 21 the stochastic integral which appearsin (C) is also a Stratonovitch integral hence we can apply thesubstitution formula and say
119885119904minus1199031015840119904(119884
1199041199041015840 (119909)) = 119885119904minus1199031015840 119904(119910)
1003816100381610038161003816119910=1198841199041199041015840 (119909) (73)
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Differential EquationsInternational Journal of
Volume 2014
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Mathematical PhysicsAdvances in
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OptimizationJournal of
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International Journal of
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Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
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Decision SciencesAdvances in
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Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
2 International Journal of Stochastic Analysis
the convergence of which is proved after an integration byparts in the sense of Malliavin calculus Unfortunately thismanipulation generates nonadaptiveness formally the resultcan be expressed as
int
119905
0
119906 (119904) ∘ d119861119867 (119904) = 120575 (Klowast
119905119906) + trace (Klowast
119905nabla119906) (2)
whereK is defined by
K119891 (119905) =119889
119889119905int
119905
0
119870119867 (119905 119904) 119891 (119904) d119904 (3)
and Klowast
119905is the adjoint of K in L2
([0 119905]R) In particularthere exists 119896 such that
Klowast
119905119891 (119904) = int
119905
119904
119896 (119905 119906) 119891 (119906) d119906 (4)
for any 119891 isin L2([0 119905]R) so that even if 119906 is adapted (with
respect to the Brownian filtration) the process (119904 997891rarrKlowast
119905119906(119904))
is anticipative However the stochastic integral process (119905 997891rarrint119905
0119906(119904) ∘ d119861119867(119904)) remains adapted hence the anticipative
aspect is in some sense artificialThemotivation of this workis to show that up to time reversal we can work with adaptedprocess and Ito integralsThe time-reversal properties of fBmwere already studied in [31] in a different context It wasshown there that the time reversal of the solution of an fBm-driven SDE of the form
119889119884 (119905) = 119906 (119884 (119905)) d119905 + d119861119867 (119905) (5)
is still a process of the same form With a slight adaptationof our method to fBm-driven SDEs with drift one shouldrecover the main theorem of [31]
In what follows there is no restriction on the dimensionbut we need to assume that any component of 119861119867 is an fBm ofHurst index greater than 12 Consider that we want to solvethe following equation
119883119905= 119909 + int
119905
0
120590 (119883119904) ∘ d119861119867 (119904) 0 le 119905 le 119879 (6)
where 120590 is a deterministic function whose properties will befixed below It turns out that it is essential to investigate themore general equations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119861119867 (119904) 0 le 119903 le 119905 le 119879 (A1015840
)
The strategy is then as follows We will first consider thereciprocal problem
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119861119867 (119904) 0 le 119903 le 119905 le 119879 (B1015840)
The first critical point is that when we consider 119885119903119905=
119884119905minus119903119905
119903 isin [0 119905] this process solves an adapted past-dependent and stochastic differential equation with respectto a standard Brownian motion Moreover because 119870
119867
is lower-triangular and sufficiently regular the trace term
vanishes in the equation defining 119885 We have then reducedthe problem to an SDE with coefficients dependent on thepast a problem which can be handled by the usual contrac-tion methods We do not claim that the results presentedare new (for instance see the brilliant monograph [32] fordetailed results obtained via rough paths theory) but it seemsinteresting to have purely probabilistic methods which showthat fBm driven SDEs do have strong solutions which arehomeomorphisms Moreover the approach given here showsthe irreducible difference between the case119867 lt 12 and119867 gt
12 The trace term only vanishes in the latter situation sothat such an SDE is merely a usual SDE with past-dependentcoefficients This representation may be fruitful for instanceto analyze the support and prove the absolute continuity ofsolutions of (6)
This paper is organized as follows After some preliminar-ies on fractional Sobolev spaces often called Besov-Liouvillespace we address in Section 3 the problem of Malliavincalculus and time reversal This part is interesting in its ownsince stochastic calculus of variations is a framework oblivi-ous to time Constructing such a notion of time is achievedusing the notion of resolution of the identity as introduced in[33 34] We then introduce the second key ingredient whichis the notion of strict causality or quasinilpotence see [35]for a related application In Section 4 we show that solving(B1015840) reduces to solve a past-dependent stochastic differentialequation with respect to a standard Brownian motion see(C) below Then we prove existence uniqueness and someproperties of this equation Technical lemmas are postponedto Section 5
2 Besov-Liouville Spaces
Let 119879 gt 0 be fix real number For a measurable function 119891 [0 119879] rarr R119899 we define 120591
119879119891 by
120591119879119891 (119904) = 119891 (119879 minus 119904) for any 119904 isin [0 119879] (7)
For 119905 isin [0 119879] 119890119905119891 will represent the restriction of 119891 to [0 119905]
that is 119890119905119891 = 1198911
[0119905] For any linear map 119860 we denote by 119860lowast
119879
its adjoint in L2([0 119879]R119899) For 120578 isin (0 1] the space of 120578-
Holder continuous functions on [0 119879] is equipped with thenorm
10038171003817100381710038171198911003817100381710038171003817Hol(120578) = sup
0lt119904lt119905lt119879
1003816100381610038161003816119891 (119905) minus 119891 (119904)1003816100381610038161003816
|119905 minus 119904|120578
+10038171003817100381710038171198911003817100381710038171003817infin (8)
Its topological dual is denoted by Hol(120578)lowast For 119891 isin
L1([0 119879] R119899 d119905) (denoted by L1 for short) the left and
right fractional integrals of 119891 are defined by
(119868120574
0+119891) (119909) =
1
Γ (120574)int
119909
0
119891 (119905) (119909 minus 119905)120574minus1d119905 119909 ge 0
(119868120574
119879minus119891) (119909) =
1
Γ (120574)int
119879
119909
119891 (119905) (119905 minus 119909)120574minus1d119905 119909 le 119879
(9)
International Journal of Stochastic Analysis 3
where 120574 gt 0 and 11986800+ = 119868
0
119879minus = Id For any 120574 ge 0 119901 119902 ge 1 any
119891 isinL119901 and 119892 isinL119902 where 119901minus1 + 119902minus1 le 120574 we have
int
119879
0
119891 (119904) (119868120574
0+119892) (119904) d119904 = int
119879
0
(119868120574
119879minus119891) (119904) 119892 (119904) d119904 (10)
The Besov-Liouville space 1198681205740+(L119901
) = I+
120574119901is usually
equipped with the norm10038171003817100381710038171003817119868120574
0+11989110038171003817100381710038171003817I+120574119901
=10038171003817100381710038171198911003817100381710038171003817L119901
(11)
Analogously the Besov-Liouville space 119868120574119879minus(L119901
) = Iminus
120574119901
is usually equipped with the norm10038171003817100381710038171003817119868minus120574
119879minus11989110038171003817100381710038171003817Iminus120574119901
=10038171003817100381710038171198911003817100381710038171003817L119901
(12)
We then have the following continuity results (see [2 36])
Proposition 1 Consider the following(i) If 0 lt 120574 lt 1 1 lt 119901 lt 1120574 then 119868120574
0+is a bounded
operator fromL119901 intoL119902 with 119902 = 119901(1 minus 120574119901)minus1(ii) For any 0 lt 120574 lt 1 and any 119901 ge 1 I+
120574119901is continuously
embedded in119867119900119897(120574 minus 1119901) provided that 120574 minus 1119901 gt 0(iii) For any 0 lt 120574 lt 120573 lt 1 Hol (120573) is compactly
embedded inI120574infin
(iv) For 120574119901 lt 1 the spaces I+
120574119901and Iminus
120574119901are canonically
isomorphic We will thus use the notation I120574119901
todenote any of these spaces
3 Malliavin Calculus and Time Reversal
Our reference probability space is Ω = C0([0 119879]R119899) the
space of R119899-valued continuous functions null at time 0 TheCameron-Martin space is denoted by H and is defined asH = 119868
1
0+(L
2([0 119879])) In what follows the space L2
([0 119879])
is identified with its topological dual We denote by 120581
the canonical embedding from H into Ω The probabilitymeasure P on Ω is such that the canonical map 119882
120596 997891rarr (120596(119905) 119905 isin [0 119879]) defines a standard 119899-dimensionalBrownian motion A mapping 120601 fromΩ into some separableHilbert space H is called cylindrical if it is of the form120601(119908) = sum
119889
119894=1119891119894(⟨119907
1198941 119908⟩ ⟨119907
119894119899 119908⟩)119909
119894 where for each 119894119891
119894isin
Cinfin
0(R119899R) and (119907
119894119895 119895 = 1 119899) is a sequence of Ωlowast For
such a function we define nablaW120601 as
nablaW120601 (119908) = sum
119894119895=1
120597119895119891119894(⟨119907
1198941 119908⟩ ⟨119907
119894119899 119908⟩) 119907
119894119895otimes 119909
119894
(13)
where 119907 is the image of 119907 isin Ωlowast by the map (11986810+ ∘ 120581)
lowast Fromthe quasi-invariance of the Wiener measure [37] it followsthat nablaW is a closable operator on 119871119901(ΩH) 119901 ge 1 and wewill denote its closure with the same notation The powers ofnablaW are defined by iterating this procedure For 119901 gt 1 119896 isin N
we denote byD119901119896(H) the completion ofH-valued cylindrical
functions under the following norm
10038171003817100381710038171206011003817100381710038171003817119901119896
=
119896
sum
119894=0
10038171003817100381710038171003817(nabla
W)11989412060110038171003817100381710038171003817119871119901(ΩHotimesL119901([01])otimes119894)
(14)
We denote by L1199011
the space D1199011(L119901
([0 119879] R119899)) Thedivergence denoted as 120575W is the adjoint of nablaW 119907 belongsto Dom
119901120575W whenever for any cylindrical 120601
100381610038161003816100381610038161003816100381610038161003816
E [int119879
0
119907119904nablaW119904120601d119904]
100381610038161003816100381610038161003816100381610038161003816
le 11988810038171003817100381710038171206011003817100381710038171003817119871119901
(15)
and for such a process 119907
E [int119879
0
119907119904nablaW119904120601d119904] = E [120601 120575W119907] (16)
We introduced the temporary notation 119882 for standardBrownian motion to clarify the forthcoming distinctionbetween a standard Brownian motion and its time reversalActually the time reversal of a standard Brownian is also astandard Brownian motion and thus both of them ldquoliverdquo inthe sameWiener space We now precise how their respectiveMalliavin gradient and divergence are linked Consider 119861 =(119861(119905) 119905 isin [0 119879]) an 119899-dimensional standard Brownianmotion and 119879 = (119861(119879)minus119861(119879minus119905) 119905 isin [0 119879]) its time reversalConsider the following map
Θ119879 Ω 997888rarr Ω
120596 997891997888rarr = 120596 (119879) minus 120591119879120596
(17)
and the commutative diagram
ℒ2
ℒ2
120591119879
Ω sup H H sub ΩΘ119879
1198681
0+ 119868
1
0+
(18)
Note that Θminus1
119879= Θ
119879since 120596(0) = 0 For a function 119891 isin
Cinfin
119887(R119899119896) we define the following
nabla119903119891 (120596 (119905
1) 120596 (119905
119896))
=
119896
sum
119895=1
120597119895119891 (120596 (119905
1) 120596 (119905
119896)) 1
[0119905119895] (119903)
nabla119903119891 ( (119905
1) (119905
119896))
=
119896
sum
119895=1
120597119895119891 ( (119905
1) (119905
119896)) 1
[0119905119895] (119903)
(19)
The operator nabla = nabla119861 (resp nabla = nabla
) is the Malliavingradient associated with a standard Brownian motion (respits time reversal) Since
119891 ( (1199051) (119905
119896))
= 119891 (120596 (119879) minus 120596 (119879 minus 1199051) 120596 (119879) minus 120596 (119879 minus 119905119896))
(20)
4 International Journal of Stochastic Analysis
we can consider 119891((1199051) (119905
119896)) as a cylindrical function
with respect to the standard Brownian motion As such itsgradient is given by
nabla119903119891 ( (119905
1) (119905
119896))
=
119896
sum
119895=1
120597119895119891 ( (119905
1) (119905
119896)) 1
[119879minus119905119895119879] (119903)
(21)
We thus have for any cylindrical function 119865
nabla119865 ∘ Θ119879 (120596) = 120591119879nabla119865 () (22)
Since Θlowast
119879P = P and 120591
119879is continuous from L119901 into itself
for any 119901 it is then easily shown that the spacesD119901119896
and D119901119896
(with obvious notations) coincide for any 119901 119896 and that (22)holds for any element of one of these spaces Hence we haveproved the following theorem
Theorem 2 For any 119901 ge 1 and any integer 119896 the spaces D119901119896
and D119901119896
coincide For any 119865 isin D119901119896
for some 119901 119896
nabla (119865 ∘ Θ119879) = 120591
119879nabla (119865 ∘ Θ
119879) P as (23)
By duality an analog result follows for divergences
Theorem 3 A process 119906 belongs to the domain of 120575 if andonly if 120591
119879119906 belongs to the domain of 120575 and then the following
equality holds
120575 (119906 ()) () = 120575 (120591119879119906 ()) (120596) = 120575 (120591119879119906 ∘ Θ119879) (120596) (24)
Proof For119906 isinL2 for cylindrical119865 we have on the one hand
E [119865 () 120575119906 ()] = E [(nabla119865 () 119906)L2] (25)
and on the other hand
E [(nabla119865 () 119906)L2] = E [(120591
119879nabla119865 ∘ Θ
119879 (120596) 119906)L2]
= E [(nabla119865 ∘ Θ119879 (120596) 120591119879119906)L2
]
= E [119865 ∘ Θ119879 (120596) 120575 (120591119879119906) (120596)]
= E [119865 () 120575 (120591119879119906) (120596)]
(26)
Since this is valid for any cylindrical 119865 (24) holds for 119906 isinL2Now for 119906 in the domain of divergence (see [37 38])
120575119906 = sum
119894
((119906 ℎ119894)L2120575ℎ
119894minus (nabla119906 ℎ
119894otimes ℎ
119894)L2otimesL2
) (27)
where (ℎ119894 119894 isin N) is an orthonormal basis ofL2
([0 119879] R119899)Thus we have
120575 (119906 ()) () = sum
119894
((119906 () ℎ119894)L2120575ℎ119894 ()
minus(nabla119906 () ℎ119894 otimes ℎ119894)L2otimesL2)
= sum
119894
((119906 () ℎ119894)L2120575 (120591
119879ℎ119894) (120596)
minus(nabla119906 () 120591119879ℎ119894 otimes ℎ119894)L2otimesL2)
= sum
119894
((120591119879119906 () 120591119879ℎ119894)L2
120575 (120591119879ℎ119894) (120596)
minus(nabla120591119879119906 () 120591119879ℎ119894 otimes 120591119879ℎ119894)L2otimesL2
)
(28)
where we have taken into account that 120591119879is in an involution
Since (ℎ119894 119894 isin N) is an orthonormal basis of L2
([0 119879] R119899)identity (24) is satisfied for any 119906 in the domain of 120575
31 Causality and Quasinilpotence In anticipative calculusthe notion of trace of an operator plays a crucial roleWe referto [39] for more details on trace
Definition 4 Let 119881 be a bounded map from L2([0 119879] R119899)
into itself The map 119881 is said to be trace class whenever forone CONB (ℎ
119899 119899 ge 1) ofL2
([0 119879] R119899)
sum
119899ge1
1003816100381610038161003816(119881ℎ119899 ℎ119899)L21003816100381610038161003816 is finite (29)
Then the trace of 119881 is defined by
trace (119881) = sum119899ge1
(119881ℎ119899 ℎ
119899)L2 (30)
It is easily shown that the notion of trace does not dependon the choice of the CONB
Definition 5 A family 119864 of projections (119864120582 120582 isin [0 1])
in L2([0 119879] R119899) is called a resolution of the identity if it
satisfies the conditions
(1) 1198640= 0 and 119864
1= Id
(2) 119864120582119864120583= 119864
120582and120583
(3) lim120583darr120582119864120583= 119864
120582for any 120582 isin [0 1) and lim
120583uarr1119864120583= Id
For instance the family 119864 = (119890120582119879 120582 isin [0 1]) is a
resolution of the identity inL2([0 119879] R119899)
Definition 6 A partition 120587 of [0 119879] is a sequence 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 Its mesh is denoted by |120587| and defined by
|120587| = sup119894|119905119894+1minus 119905
119894|
The causality plays a crucial role in what followsThe nextdefinition is just the formalization in terms of operator of theintuitive notion of causality
International Journal of Stochastic Analysis 5
Definition 7 A continuous map 119881 from L2([0 119879] R119899) into
itself is said to be 119864 causal if and only if the followingcondition holds
119864120582119881119864
120582= 119864
120582119881 for any 120582 isin [0 1] (31)
For instance an operator 119881 in integral form 119881119891(119905) =
int119879
0119881(119905 119904)119891(119904)d119904 is causal if and only if 119881(119905 119904) = 0 for 119904 ge 119905
that is computing119881119891(119905) needs only the knowledge of 119891 up totime 119905 and not after Unfortunately this notion of causality isinsufficient for our purpose and we are led to introduce thenotion of strict causality as in [40]
Definition 8 Let 119881 be a causal operator It is a strictly causaloperator whenever for any 120576 gt 0 there exists a partition 120587 of[0 119879] such that for any 1205871015840 = 0 = 119905
0lt 119905
1lt sdot sdot sdot lt 119905
119899= 119879 sub 120587
10038171003817100381710038171003817(119864
119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)10038171003817100381710038171003817L2
lt 120576 for 119894 = 0 119899 minus 1(32)
Note carefully that the identity map is causal but notstrictly causal Indeed if 119881 = Id for any 119904 lt 119905
1003817100381710038171003817(119864119905 minus 119864119904)119881(119864119905 minus 119864119904)1003817100381710038171003817L2
=1003817100381710038171003817119864119905 minus 119864119904
1003817100381710038171003817L2= 1 (33)
since 119864119905minus 119864
119904is a projection However if 119881 is hyper-contract-
ive we have the following result
Lemma 9 Assume the resolution of the identity to be either119864 = (119890
120582119879 120582 isin [0 1]) or 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) If 119881 is
an 119864 causal map continuous fromL2 intoL119901 for some 119901 gt 2then 119881 is strictly 119864 causal
Proof Let 120587 be any partition of [0 119879] Assume that 119864 =
(119890120582119879 120582 isin [0 1]) and the very same proof works for the other
mentioned resolution of the identity According to Holderformula we have for any 0 le 119904 lt 119905 le 119879
1003817100381710038171003817(119864119905 minus 119864119904) 119881 (119864119905 minus 119864119904) 1198911003817100381710038171003817L2
= int
119905
119904
1003816100381610038161003816119881(1198911(119904119905])(119906)1003816100381610038161003816
2d119906
le (119905 minus 119904)1minus21199011003817100381710038171003817119881(1198911(119904119905])
1003817100381710038171003817L1199012
le 119888 (119905 minus 119904)1minus21199011003817100381710038171003817119891
1003817100381710038171003817L2
(34)
Then for any 120576 gt 0 there exists 120578 gt 0 such that |120587| lt 120578
implies (119864119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)119891L2 le 120576 for any 0 = 1199050 lt1199051lt sdot sdot sdot lt 119905
119899= 119879 sub 120587 and any 119894 = 0 119899 minus 1
The importance of strict causality lies in the next theoremwe borrow from [40]
Theorem 10 The set of strictly causal operators coincides withthe set of quasinilpotent operators that is trace-class operatorssuch that trace(119881119899) = 0 for any integer 119899 ge 1
Moreover we have the following stability theorem
Theorem 11 The set of strictly causal operators is a two-sidedideal in the set of causal operators
Definition 12 Let 119864 be a resolution of the identity inL2([0 119879]R119899) Consider the filtrationF119864 defined as
F119864
119905= 120590 120575
W(119864
120582ℎ) 120582 le 119905 ℎ isinL
2 (35)
An L2-valued random variable 119906 is said to be F119864 adaptedif for any ℎ isin L2 the real valued process ⟨119864
120582119906 ℎ⟩ is F119864-
adaptedWedenote byD119864
119901119896(H) the set ofF119864 adapted random
variables belonging to D119901119896(H)
If 119864 = (119890120582119879 120582 isin [0 1]) the notion of F119864 adapted proc-
esses coincides with the usual one for the Brownian filtrationand it is well known that a process 119906 is adapted if and only ifnablaW119903119906(119904) = 0 for 119903 gt 119904 This result can be generalized to any
resolution of the identity
Theorem 13 (Proposition 31 of [33]) Let 119906 belongs to L1199011
Then 119906 isF119864 adapted if and only if nablaW119906 is 119864 causal
We then have the following key theorem
Theorem 14 Assume the resolution of the identity to be 119864 =(119890120582119879 120582 isin [0 1]) either 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) and that
119881 is an 119864-strictly causal continuous operator fromL2 intoL119901
for some 119901 gt 2 Let 119906 be an element of D119864
21(L2
) Then 119881nablaW119906
is of trace class and we have trace(119881nablaW119906) = 0
Proof Since 119906 is adapted nablaW119906 is 119864-causal According to
Theorem 11 119881nablaW119906 is strictly causal and the result follows by
Theorem 10
In what follows 1198640 is the resolution of the identity inthe Hilbert space L2 defined by 119890
120582 119879119891 = 1198911
[0120582119879]and 0 is
the resolution of the identity defined by 119890120582119879119891 = 1198911
[(1minus120582)119879119879]
The filtrations F1198640
and F0
are defined accordingly Nextlemma is immediate when 119881 is given in the form of 119881119891(119905) =int119905
0119881(119905 119904)119891(119904)d119904 Unfortunately such a representation as an
integral operator is not always available We give here analgebraic proof to emphasize the importance of causality
Lemma 15 Let 119881 be a map from L2([0 119879] R119899) into itself
such that 119881 is 1198640-causal Let 119881lowast be the adjoint of 119881 inL2([0 119879]R119899) Then the map 120591
119879119881lowast
119879120591119879is 0-causal
Proof This is a purely algebraic lemma once we have noticedthat
120591119879119890119903= (Id minus 119890
119879minus119903) 120591
119879for any 0 le 119903 le 119879 (36)
For it suffices to write
120591119879119890119903119891 (119904) = 119891 (119879 minus 119904) 1[0119903] (119879 minus 119904)
= 119891 (119879 minus 119904) 1[119879minus119903119879] (119904)
= (Id minus 119890119879minus119903) 120591
119879119891 (119904) for any 0 le 119904 le 119879
(37)
6 International Journal of Stochastic Analysis
We have to show that
119890119903120591119879119881lowast
119879120591119879119890119903= 119890
119903120591119879119881lowast
119879120591119879or equivalently (38)
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903 (39)
since 119890lowast119903= 119890
119903and 120591lowast
119879= 120591
119879 Now (37) yields
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903minus 119890
119879minus119903119881120591
119879119890119903 (40)
Use (37) again to obtain
119890119879minus119903119881120591
119879119890119903= 119890
119879minus119903119881 (Id minus 119890
119879minus119903) 120591
119879
= (119890119879minus119903119881 minus 119890
119879minus119903119881119890
119879minus119903) 120591
119879= 0
(41)
since 119881 is 119864-causal
32 Stratonovitch Integrals In what follows 120578 belongs to(0 1] and 119881 is a linear operator For any 119901 ge 2 we set thefollowing
Hypothesis 1 (119901 120578) The linear map 119881 is continuous fromL119901
([0 119879]R119899) into the Banach space Hol(120578)
Definition 16 Assume that Hypothesis 1 (119901 120578) holds TheVolterra process associated to 119881 denoted by119882119881 is definedby
119882119881(119905) = 120575
W(119881 (1
[0119905])) forall 119905 isin [0 119879] (42)
For any subdivision 120587 of [0 119879] that is 120587 = 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 of mesh |120587| we consider the Stratonovitch
sums
119877120587(119905 119906) = 120575
W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881119906 (119903) d119903 1[119905119894119905119894+1))
+ sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119906) (119904) d119904 d119903
(43)
Definition 17 We say that 119906 is 119881-Stratonovitch integrable on[0 119905]whenever the family 119877120587(119905 119906) defined in (43) convergesin probability as |120587| goes to 0 In this case the limit will bedenoted by int119905
0119906(119904) ∘ d119882119881
(119904)
Example 18 Thefirst example is the so-called Levy fractionalBrownian motion of Hurst index119867 gt 12 defined as
1
Γ (119867 + 12)int
119905
0
(119905 minus 119904)119867minus12d119861
119904= 120575 (119868
119867minus12
119879minus (1
[0119905])) (44)
This amounts to say that 119881 = 119868119867minus12
119879minus
ThusHypothesis 1 (119901119867 minus 12 minus 1119901) holds provided that119901(119867 minus 12) gt 1
Example 19 The other classical example is the fractionalBrownian motion with stationary increments of Hurst index119867 gt 12 which can be written as
int
119905
0
119870119867 (119905 119904) d119861 (119904) (45)
where
119870119867 (119905 119903)
=(119905 minus 119903)
119867minus(12)
Γ (119867 + (12))119865 (
1
2minus 119867119867 minus
1
2119867 +
1
2 1 minus
119905
119903)
times 1[0119905) (119903)
(46)
The Gauss hypergeometric function 119865(120572 120573 120574 119911) (see [41]) isthe analytic continuation on C times C times C minus1 minus2 times 119911 isin
C Arg|1 minus 119911| lt 120587 of the power series
+infin
sum
119896=0
(120572)119896(120573)119896
(120574)119896119896119911119896
(119886)0 = 1
(119886)119896 =Γ (119886 + 119896)
Γ (119886)= 119886 (119886 + 1) sdot sdot sdot (119886 + 119896 minus 1)
(47)
We know from [36] that 119870119867
is an isomorphism from L119901
([0 1]) ontoI+
119867+12119901and
119870119867119891 = 119868
1
0+119909
119867minus12119868119867minus12
0+ 119909
12minus119867119891 (48)
Consider thatK119867= 119868
minus1
0+ ∘ 119870119867 Then it is clear that
int
119905
0
119870119867 (119905 119904) d119861 (119904) = int
119905
0
(K119867)lowast
119879(1[0119905]) (119904) d119861 (119904) (49)
hence we are in the framework of Definition 17 provided thatwe take 119881 = (K
119867)lowast
119879 Hypothesis 1 (119901119867 minus 12 minus 1119901) is
satisfied provided that 119901(119867 minus 12) gt 1
The next theorem then follows from [26]
Theorem 20 Assume that Hypothesis 1 (119901 120578) holds Assumethat 119906 belongs toL
1199011Then 119906 is119881-Stratonovitch integrable and
there exists a process which we denote by 119863W119906 such that 119863W
119906
belongs to 119871119901(P otimes 119889119904) and
int
119879
0
119906 (119904) ∘ dWV(s) = 120575W (Vu) + int
T
0DWu (s) ds (50)
The so-called ldquotrace-termrdquo satisfies the following estimate
E [int119879
0
10038161003816100381610038161003816119863
W119906(119903)
10038161003816100381610038161003816
119901
dr] le 119888 119879119901120578119906119901L1199011
(51)
for some universal constant 119888 Moreover for any 119903 le 119879 119890119903119906 is
119881-Stratonovitch integrable and
int
119903
0
119906 (119904) ∘ dWV(s)
= int
119879
0
(119890119903119906) (119904) ∘ dWV
(s)
= 120575W(119881119890
119903119906) + int
119903
0
119863W119906 (119904) ds
(52)
International Journal of Stochastic Analysis 7
and we have the maximal inequality
E[10038171003817100381710038171003817100381710038171003817
int
0
119906(119904) ∘ dWV(s)10038171003817100381710038171003817100381710038171003817
119901
Hol (120578)] le 119888 119906
119901
L1199011
(53)
where 119888 does not depend on 119906
The main result of this Section is the following theoremwhich states that the time reversal of a Stratonovitch integralis an adapted integral with respect to the time-reversedBrownian motion Due to its length its proof is postponedto Section 51
Theorem 21 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011and let
119879= 120591
119905119881120591
119879 Assume furthermore that
119881 is 0-causal and that = 119906 ∘ Θminus1
119879isF
0-adapted Then
int
119879minus119903
119879minus119905
120591119879119906 (119904) ∘ dWV
(s)
= int
119905
119903
119879(1[119903119905]) (119904) dBT
(s) 0 le r le t le T(54)
where the last integral is an Ito integral with respect to the timereversed Brownianmotion 119879(119904) = 119861(119879)minus119861(119879minus119904) = Θ
119879(119861)(119904)
Remark 22 Note that at a formal level we could have an easyproof of this theorem For instance consider the Levy fBmand a simple computation shows that
119879= 119868
119867minus12
0+
for any119879 Thus we are led to compute trace(119868119867minus12
0+
nabla119906) If we hadsufficient regularity we could write
trace (119868119867minus120+ nabla119906) = int
119879
0
int
119904
0
(119904 minus 119903)119867minus32
nabla119904119906 (119903) d119903 d119904 = 0
(55)
since nabla119904119906(119903) = 0 for 119904 gt 119903 for 119906 adapted Obviously there are
many flaws in these lines of proof The operator 119868119867minus120+
nabla119906 isnot regular enough for such an expression of the trace to betrue Even more there is absolutely no reason for
119879nabla119906 to be
a kernel operator so we cannot hope such a formula Theseare the reasons that we need to work with operators and notwith kernels
4 Volterra-Driven SDEs
LetG be the group of homeomorphisms ofR119899 equipped withthe distance We introduce a distance 119889 onG by
119889 (120593 120601) = 120588 (120593 120601) + 120588 (120593minus1 120601
minus1) (56)
where
120588 (120593 120601) =
infin
sum
119873=1
2minus119873
sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
1 + sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
sdot (57)
Then G is a complete topological group Consider theequations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (A)
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (B)
As a solution of (A) is to be constructed by ldquoinvertingrdquoa solution of (B) we need to add to the definition of asolution of (A) or (B) the requirement of being a flowof homeomorphisms This is the meaning of the followingdefinition
Definition 23 By a solution of (A) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119883119903119905 (120596 119909))
(58)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119883119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905-measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119905) 997891rarr 119883
119903119905(120596 119909) and (120596 119905) 997891rarr 119883
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119883119903119905 (120596 119909) = 119883119904119905
(120596119883119903119904 (120596 119909)) (59)
(4) Equation (A) is satisfied for any 0 le 119903 le 119905 le 119879 P-as
Definition 24 By a solution of (B) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119884119903119905 (120596 119909))
(60)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119884119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119884
119903119905(120596 119909) and (120596 119903) 997891rarr 119884
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (B) is satisfied for any 0 le 119903 le 119905 le 119879 P-as(4) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (61)
At last consider the equation for any 0 le 119903 le 119905 le 119879
119885119903119905= 119909 minus int
119905
119903
119879(120590 ∘ 119885
1199051[119903119905]) (119904) d119879 (119904) (C)
where 119861 is a standard 119899-dimensional Brownian motion
8 International Journal of Stochastic Analysis
Definition 25 By a solution of (C) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119885119903119905 (120596 119909))
(62)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119885119903119905(120596 119909) is
120590119879(119904) 119904 le 119903 le 119905measurable
(2) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119885
119903119905(120596 119909) and (120596 119903) 997891rarr 119885
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (C) is satisfied for any 0 le 119903 le 119905 le 119879P-as
Theorem 26 Assume that 119879is an 1198640 causal map continuous
from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1Assume that 120590 is Lipschitz continuous and sublinear see (96)for the definition Then there exists a unique solution to (C)Let 119885 denote this solution For any (119903 1199031015840)
E [1003816100381610038161003816119885119903119879 minus 1198851199031015840 1198791003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(63)
Moreover
(120596 119903) 997891997888rarr 119885119903119904(120596 119885
119904119905 (120596 119909)) isin L1199011
for any 119903 le 119904 le 119905 le 119879(64)
Since this proof needs several lemmas we defer it toSection 52
Theorem 27 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 2 such that 120572119901 gt 1 Forfixed 119879 there exists a bijection between the space of solutionsof (B) on [0 119879] and the set of solutions of (C)
Proof Set
119885119903119879 ( 119909) = 119884119879minus119903119879 (Θ
minus1
119879() 119909) (65)
or equivalently
119884119903119879 (120596 119909) = 119885119879minus119903119879 (Θ119879 (120596) 119909) (66)
According to Theorem 21 119884 satisfies (B) if and only if 119885satisfies (C) The regularity properties are immediate sinceL119901 is stable by 120591
119879
The first part of the next result is then immediate
Corollary 28 Assume that 119879is an 1198640-causal map contin-
uous from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 2 such that120572119901 gt 1 Then (B) has one and only one solution and for any0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (67)
Proof According toTheorems 27 and 26 (B) has at most onesolution since (C) has a unique solution As to the existencepoints from (1) to (3) are immediately deduced from thecorresponding properties of 119885 and (66)
According to Theorem 26 (120596 119903) 997891rarr 119884119903119904(120596 119884
119904119905(120596 119909))
belongs to L1199011 hence we can apply the substitution formula
and119884119903119904(120596 119884
119904119905 (120596 119909))
= 119884119904119905 (120596 119909) minus int
119904
119903
120590 (119884120591119904 (120596 119909)) ∘ d119882
119881(120591)
10038161003816100381610038161003816100381610038161003816119909=119884119904119905(120596119909)
= 119909 minus int
119905
119904
120590 (119884120591119905 (120596 119909) ∘ d119882
119881(120591)
minus int
119904
119903
120590 (119884120591119904(120596 119884
119904119905 (120596 119909)) ) ∘ d119882119881(120591)
(68)
Set
119877120591119905=
119884120591119905 (120596 119909) for 119904 le 120591 le 119905119884120591119904(120596 119884
119904119905 (120596 119909)) for 119903 le 120591 le 119904(69)
Then in view of (68) 119877 appears to be the unique solution (B)and thus 119877
119904119905(120596 119909) = 119884
119904119905(120596 119909) Point (4) is thus proved
Corollary 29 For 119909 fixed the random field (119884119903119905(119909) 0 le 119903 le
119905 le 119879) admits a continuous version Moreover
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(70)
We still denote by 119884 this continuous version
Proof Without loss of generality assume that 119904 le 1199041015840 and
remark that 1198841199041199041015840(119909)
thus belongs to 120590119879119906 119906 ge 119904
E [1003816100381610038161003816119884119903119904(119909) minus 11988411990310158401199041015840(119909)1003816100381610038161003816
119901]
le 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 1199041015840 (119909)1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119885119904minus119903119904 (119909) minus 119885119904minus1199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
(71)
According toTheorem 37
E [1003816100381610038161003816119885119904minus119903119904(119909) minus 119885119904minus1199031015840 119904(119909)1003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(1 + |119909|119901) (72)
In view of Theorem 21 the stochastic integral which appearsin (C) is also a Stratonovitch integral hence we can apply thesubstitution formula and say
119885119904minus1199031015840119904(119884
1199041199041015840 (119909)) = 119885119904minus1199031015840 119904(119910)
1003816100381610038161003816119910=1198841199041199041015840 (119909) (73)
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
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Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
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OptimizationJournal of
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CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
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Operations ResearchAdvances in
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Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
International Journal of Stochastic Analysis 3
where 120574 gt 0 and 11986800+ = 119868
0
119879minus = Id For any 120574 ge 0 119901 119902 ge 1 any
119891 isinL119901 and 119892 isinL119902 where 119901minus1 + 119902minus1 le 120574 we have
int
119879
0
119891 (119904) (119868120574
0+119892) (119904) d119904 = int
119879
0
(119868120574
119879minus119891) (119904) 119892 (119904) d119904 (10)
The Besov-Liouville space 1198681205740+(L119901
) = I+
120574119901is usually
equipped with the norm10038171003817100381710038171003817119868120574
0+11989110038171003817100381710038171003817I+120574119901
=10038171003817100381710038171198911003817100381710038171003817L119901
(11)
Analogously the Besov-Liouville space 119868120574119879minus(L119901
) = Iminus
120574119901
is usually equipped with the norm10038171003817100381710038171003817119868minus120574
119879minus11989110038171003817100381710038171003817Iminus120574119901
=10038171003817100381710038171198911003817100381710038171003817L119901
(12)
We then have the following continuity results (see [2 36])
Proposition 1 Consider the following(i) If 0 lt 120574 lt 1 1 lt 119901 lt 1120574 then 119868120574
0+is a bounded
operator fromL119901 intoL119902 with 119902 = 119901(1 minus 120574119901)minus1(ii) For any 0 lt 120574 lt 1 and any 119901 ge 1 I+
120574119901is continuously
embedded in119867119900119897(120574 minus 1119901) provided that 120574 minus 1119901 gt 0(iii) For any 0 lt 120574 lt 120573 lt 1 Hol (120573) is compactly
embedded inI120574infin
(iv) For 120574119901 lt 1 the spaces I+
120574119901and Iminus
120574119901are canonically
isomorphic We will thus use the notation I120574119901
todenote any of these spaces
3 Malliavin Calculus and Time Reversal
Our reference probability space is Ω = C0([0 119879]R119899) the
space of R119899-valued continuous functions null at time 0 TheCameron-Martin space is denoted by H and is defined asH = 119868
1
0+(L
2([0 119879])) In what follows the space L2
([0 119879])
is identified with its topological dual We denote by 120581
the canonical embedding from H into Ω The probabilitymeasure P on Ω is such that the canonical map 119882
120596 997891rarr (120596(119905) 119905 isin [0 119879]) defines a standard 119899-dimensionalBrownian motion A mapping 120601 fromΩ into some separableHilbert space H is called cylindrical if it is of the form120601(119908) = sum
119889
119894=1119891119894(⟨119907
1198941 119908⟩ ⟨119907
119894119899 119908⟩)119909
119894 where for each 119894119891
119894isin
Cinfin
0(R119899R) and (119907
119894119895 119895 = 1 119899) is a sequence of Ωlowast For
such a function we define nablaW120601 as
nablaW120601 (119908) = sum
119894119895=1
120597119895119891119894(⟨119907
1198941 119908⟩ ⟨119907
119894119899 119908⟩) 119907
119894119895otimes 119909
119894
(13)
where 119907 is the image of 119907 isin Ωlowast by the map (11986810+ ∘ 120581)
lowast Fromthe quasi-invariance of the Wiener measure [37] it followsthat nablaW is a closable operator on 119871119901(ΩH) 119901 ge 1 and wewill denote its closure with the same notation The powers ofnablaW are defined by iterating this procedure For 119901 gt 1 119896 isin N
we denote byD119901119896(H) the completion ofH-valued cylindrical
functions under the following norm
10038171003817100381710038171206011003817100381710038171003817119901119896
=
119896
sum
119894=0
10038171003817100381710038171003817(nabla
W)11989412060110038171003817100381710038171003817119871119901(ΩHotimesL119901([01])otimes119894)
(14)
We denote by L1199011
the space D1199011(L119901
([0 119879] R119899)) Thedivergence denoted as 120575W is the adjoint of nablaW 119907 belongsto Dom
119901120575W whenever for any cylindrical 120601
100381610038161003816100381610038161003816100381610038161003816
E [int119879
0
119907119904nablaW119904120601d119904]
100381610038161003816100381610038161003816100381610038161003816
le 11988810038171003817100381710038171206011003817100381710038171003817119871119901
(15)
and for such a process 119907
E [int119879
0
119907119904nablaW119904120601d119904] = E [120601 120575W119907] (16)
We introduced the temporary notation 119882 for standardBrownian motion to clarify the forthcoming distinctionbetween a standard Brownian motion and its time reversalActually the time reversal of a standard Brownian is also astandard Brownian motion and thus both of them ldquoliverdquo inthe sameWiener space We now precise how their respectiveMalliavin gradient and divergence are linked Consider 119861 =(119861(119905) 119905 isin [0 119879]) an 119899-dimensional standard Brownianmotion and 119879 = (119861(119879)minus119861(119879minus119905) 119905 isin [0 119879]) its time reversalConsider the following map
Θ119879 Ω 997888rarr Ω
120596 997891997888rarr = 120596 (119879) minus 120591119879120596
(17)
and the commutative diagram
ℒ2
ℒ2
120591119879
Ω sup H H sub ΩΘ119879
1198681
0+ 119868
1
0+
(18)
Note that Θminus1
119879= Θ
119879since 120596(0) = 0 For a function 119891 isin
Cinfin
119887(R119899119896) we define the following
nabla119903119891 (120596 (119905
1) 120596 (119905
119896))
=
119896
sum
119895=1
120597119895119891 (120596 (119905
1) 120596 (119905
119896)) 1
[0119905119895] (119903)
nabla119903119891 ( (119905
1) (119905
119896))
=
119896
sum
119895=1
120597119895119891 ( (119905
1) (119905
119896)) 1
[0119905119895] (119903)
(19)
The operator nabla = nabla119861 (resp nabla = nabla
) is the Malliavingradient associated with a standard Brownian motion (respits time reversal) Since
119891 ( (1199051) (119905
119896))
= 119891 (120596 (119879) minus 120596 (119879 minus 1199051) 120596 (119879) minus 120596 (119879 minus 119905119896))
(20)
4 International Journal of Stochastic Analysis
we can consider 119891((1199051) (119905
119896)) as a cylindrical function
with respect to the standard Brownian motion As such itsgradient is given by
nabla119903119891 ( (119905
1) (119905
119896))
=
119896
sum
119895=1
120597119895119891 ( (119905
1) (119905
119896)) 1
[119879minus119905119895119879] (119903)
(21)
We thus have for any cylindrical function 119865
nabla119865 ∘ Θ119879 (120596) = 120591119879nabla119865 () (22)
Since Θlowast
119879P = P and 120591
119879is continuous from L119901 into itself
for any 119901 it is then easily shown that the spacesD119901119896
and D119901119896
(with obvious notations) coincide for any 119901 119896 and that (22)holds for any element of one of these spaces Hence we haveproved the following theorem
Theorem 2 For any 119901 ge 1 and any integer 119896 the spaces D119901119896
and D119901119896
coincide For any 119865 isin D119901119896
for some 119901 119896
nabla (119865 ∘ Θ119879) = 120591
119879nabla (119865 ∘ Θ
119879) P as (23)
By duality an analog result follows for divergences
Theorem 3 A process 119906 belongs to the domain of 120575 if andonly if 120591
119879119906 belongs to the domain of 120575 and then the following
equality holds
120575 (119906 ()) () = 120575 (120591119879119906 ()) (120596) = 120575 (120591119879119906 ∘ Θ119879) (120596) (24)
Proof For119906 isinL2 for cylindrical119865 we have on the one hand
E [119865 () 120575119906 ()] = E [(nabla119865 () 119906)L2] (25)
and on the other hand
E [(nabla119865 () 119906)L2] = E [(120591
119879nabla119865 ∘ Θ
119879 (120596) 119906)L2]
= E [(nabla119865 ∘ Θ119879 (120596) 120591119879119906)L2
]
= E [119865 ∘ Θ119879 (120596) 120575 (120591119879119906) (120596)]
= E [119865 () 120575 (120591119879119906) (120596)]
(26)
Since this is valid for any cylindrical 119865 (24) holds for 119906 isinL2Now for 119906 in the domain of divergence (see [37 38])
120575119906 = sum
119894
((119906 ℎ119894)L2120575ℎ
119894minus (nabla119906 ℎ
119894otimes ℎ
119894)L2otimesL2
) (27)
where (ℎ119894 119894 isin N) is an orthonormal basis ofL2
([0 119879] R119899)Thus we have
120575 (119906 ()) () = sum
119894
((119906 () ℎ119894)L2120575ℎ119894 ()
minus(nabla119906 () ℎ119894 otimes ℎ119894)L2otimesL2)
= sum
119894
((119906 () ℎ119894)L2120575 (120591
119879ℎ119894) (120596)
minus(nabla119906 () 120591119879ℎ119894 otimes ℎ119894)L2otimesL2)
= sum
119894
((120591119879119906 () 120591119879ℎ119894)L2
120575 (120591119879ℎ119894) (120596)
minus(nabla120591119879119906 () 120591119879ℎ119894 otimes 120591119879ℎ119894)L2otimesL2
)
(28)
where we have taken into account that 120591119879is in an involution
Since (ℎ119894 119894 isin N) is an orthonormal basis of L2
([0 119879] R119899)identity (24) is satisfied for any 119906 in the domain of 120575
31 Causality and Quasinilpotence In anticipative calculusthe notion of trace of an operator plays a crucial roleWe referto [39] for more details on trace
Definition 4 Let 119881 be a bounded map from L2([0 119879] R119899)
into itself The map 119881 is said to be trace class whenever forone CONB (ℎ
119899 119899 ge 1) ofL2
([0 119879] R119899)
sum
119899ge1
1003816100381610038161003816(119881ℎ119899 ℎ119899)L21003816100381610038161003816 is finite (29)
Then the trace of 119881 is defined by
trace (119881) = sum119899ge1
(119881ℎ119899 ℎ
119899)L2 (30)
It is easily shown that the notion of trace does not dependon the choice of the CONB
Definition 5 A family 119864 of projections (119864120582 120582 isin [0 1])
in L2([0 119879] R119899) is called a resolution of the identity if it
satisfies the conditions
(1) 1198640= 0 and 119864
1= Id
(2) 119864120582119864120583= 119864
120582and120583
(3) lim120583darr120582119864120583= 119864
120582for any 120582 isin [0 1) and lim
120583uarr1119864120583= Id
For instance the family 119864 = (119890120582119879 120582 isin [0 1]) is a
resolution of the identity inL2([0 119879] R119899)
Definition 6 A partition 120587 of [0 119879] is a sequence 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 Its mesh is denoted by |120587| and defined by
|120587| = sup119894|119905119894+1minus 119905
119894|
The causality plays a crucial role in what followsThe nextdefinition is just the formalization in terms of operator of theintuitive notion of causality
International Journal of Stochastic Analysis 5
Definition 7 A continuous map 119881 from L2([0 119879] R119899) into
itself is said to be 119864 causal if and only if the followingcondition holds
119864120582119881119864
120582= 119864
120582119881 for any 120582 isin [0 1] (31)
For instance an operator 119881 in integral form 119881119891(119905) =
int119879
0119881(119905 119904)119891(119904)d119904 is causal if and only if 119881(119905 119904) = 0 for 119904 ge 119905
that is computing119881119891(119905) needs only the knowledge of 119891 up totime 119905 and not after Unfortunately this notion of causality isinsufficient for our purpose and we are led to introduce thenotion of strict causality as in [40]
Definition 8 Let 119881 be a causal operator It is a strictly causaloperator whenever for any 120576 gt 0 there exists a partition 120587 of[0 119879] such that for any 1205871015840 = 0 = 119905
0lt 119905
1lt sdot sdot sdot lt 119905
119899= 119879 sub 120587
10038171003817100381710038171003817(119864
119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)10038171003817100381710038171003817L2
lt 120576 for 119894 = 0 119899 minus 1(32)
Note carefully that the identity map is causal but notstrictly causal Indeed if 119881 = Id for any 119904 lt 119905
1003817100381710038171003817(119864119905 minus 119864119904)119881(119864119905 minus 119864119904)1003817100381710038171003817L2
=1003817100381710038171003817119864119905 minus 119864119904
1003817100381710038171003817L2= 1 (33)
since 119864119905minus 119864
119904is a projection However if 119881 is hyper-contract-
ive we have the following result
Lemma 9 Assume the resolution of the identity to be either119864 = (119890
120582119879 120582 isin [0 1]) or 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) If 119881 is
an 119864 causal map continuous fromL2 intoL119901 for some 119901 gt 2then 119881 is strictly 119864 causal
Proof Let 120587 be any partition of [0 119879] Assume that 119864 =
(119890120582119879 120582 isin [0 1]) and the very same proof works for the other
mentioned resolution of the identity According to Holderformula we have for any 0 le 119904 lt 119905 le 119879
1003817100381710038171003817(119864119905 minus 119864119904) 119881 (119864119905 minus 119864119904) 1198911003817100381710038171003817L2
= int
119905
119904
1003816100381610038161003816119881(1198911(119904119905])(119906)1003816100381610038161003816
2d119906
le (119905 minus 119904)1minus21199011003817100381710038171003817119881(1198911(119904119905])
1003817100381710038171003817L1199012
le 119888 (119905 minus 119904)1minus21199011003817100381710038171003817119891
1003817100381710038171003817L2
(34)
Then for any 120576 gt 0 there exists 120578 gt 0 such that |120587| lt 120578
implies (119864119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)119891L2 le 120576 for any 0 = 1199050 lt1199051lt sdot sdot sdot lt 119905
119899= 119879 sub 120587 and any 119894 = 0 119899 minus 1
The importance of strict causality lies in the next theoremwe borrow from [40]
Theorem 10 The set of strictly causal operators coincides withthe set of quasinilpotent operators that is trace-class operatorssuch that trace(119881119899) = 0 for any integer 119899 ge 1
Moreover we have the following stability theorem
Theorem 11 The set of strictly causal operators is a two-sidedideal in the set of causal operators
Definition 12 Let 119864 be a resolution of the identity inL2([0 119879]R119899) Consider the filtrationF119864 defined as
F119864
119905= 120590 120575
W(119864
120582ℎ) 120582 le 119905 ℎ isinL
2 (35)
An L2-valued random variable 119906 is said to be F119864 adaptedif for any ℎ isin L2 the real valued process ⟨119864
120582119906 ℎ⟩ is F119864-
adaptedWedenote byD119864
119901119896(H) the set ofF119864 adapted random
variables belonging to D119901119896(H)
If 119864 = (119890120582119879 120582 isin [0 1]) the notion of F119864 adapted proc-
esses coincides with the usual one for the Brownian filtrationand it is well known that a process 119906 is adapted if and only ifnablaW119903119906(119904) = 0 for 119903 gt 119904 This result can be generalized to any
resolution of the identity
Theorem 13 (Proposition 31 of [33]) Let 119906 belongs to L1199011
Then 119906 isF119864 adapted if and only if nablaW119906 is 119864 causal
We then have the following key theorem
Theorem 14 Assume the resolution of the identity to be 119864 =(119890120582119879 120582 isin [0 1]) either 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) and that
119881 is an 119864-strictly causal continuous operator fromL2 intoL119901
for some 119901 gt 2 Let 119906 be an element of D119864
21(L2
) Then 119881nablaW119906
is of trace class and we have trace(119881nablaW119906) = 0
Proof Since 119906 is adapted nablaW119906 is 119864-causal According to
Theorem 11 119881nablaW119906 is strictly causal and the result follows by
Theorem 10
In what follows 1198640 is the resolution of the identity inthe Hilbert space L2 defined by 119890
120582 119879119891 = 1198911
[0120582119879]and 0 is
the resolution of the identity defined by 119890120582119879119891 = 1198911
[(1minus120582)119879119879]
The filtrations F1198640
and F0
are defined accordingly Nextlemma is immediate when 119881 is given in the form of 119881119891(119905) =int119905
0119881(119905 119904)119891(119904)d119904 Unfortunately such a representation as an
integral operator is not always available We give here analgebraic proof to emphasize the importance of causality
Lemma 15 Let 119881 be a map from L2([0 119879] R119899) into itself
such that 119881 is 1198640-causal Let 119881lowast be the adjoint of 119881 inL2([0 119879]R119899) Then the map 120591
119879119881lowast
119879120591119879is 0-causal
Proof This is a purely algebraic lemma once we have noticedthat
120591119879119890119903= (Id minus 119890
119879minus119903) 120591
119879for any 0 le 119903 le 119879 (36)
For it suffices to write
120591119879119890119903119891 (119904) = 119891 (119879 minus 119904) 1[0119903] (119879 minus 119904)
= 119891 (119879 minus 119904) 1[119879minus119903119879] (119904)
= (Id minus 119890119879minus119903) 120591
119879119891 (119904) for any 0 le 119904 le 119879
(37)
6 International Journal of Stochastic Analysis
We have to show that
119890119903120591119879119881lowast
119879120591119879119890119903= 119890
119903120591119879119881lowast
119879120591119879or equivalently (38)
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903 (39)
since 119890lowast119903= 119890
119903and 120591lowast
119879= 120591
119879 Now (37) yields
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903minus 119890
119879minus119903119881120591
119879119890119903 (40)
Use (37) again to obtain
119890119879minus119903119881120591
119879119890119903= 119890
119879minus119903119881 (Id minus 119890
119879minus119903) 120591
119879
= (119890119879minus119903119881 minus 119890
119879minus119903119881119890
119879minus119903) 120591
119879= 0
(41)
since 119881 is 119864-causal
32 Stratonovitch Integrals In what follows 120578 belongs to(0 1] and 119881 is a linear operator For any 119901 ge 2 we set thefollowing
Hypothesis 1 (119901 120578) The linear map 119881 is continuous fromL119901
([0 119879]R119899) into the Banach space Hol(120578)
Definition 16 Assume that Hypothesis 1 (119901 120578) holds TheVolterra process associated to 119881 denoted by119882119881 is definedby
119882119881(119905) = 120575
W(119881 (1
[0119905])) forall 119905 isin [0 119879] (42)
For any subdivision 120587 of [0 119879] that is 120587 = 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 of mesh |120587| we consider the Stratonovitch
sums
119877120587(119905 119906) = 120575
W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881119906 (119903) d119903 1[119905119894119905119894+1))
+ sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119906) (119904) d119904 d119903
(43)
Definition 17 We say that 119906 is 119881-Stratonovitch integrable on[0 119905]whenever the family 119877120587(119905 119906) defined in (43) convergesin probability as |120587| goes to 0 In this case the limit will bedenoted by int119905
0119906(119904) ∘ d119882119881
(119904)
Example 18 Thefirst example is the so-called Levy fractionalBrownian motion of Hurst index119867 gt 12 defined as
1
Γ (119867 + 12)int
119905
0
(119905 minus 119904)119867minus12d119861
119904= 120575 (119868
119867minus12
119879minus (1
[0119905])) (44)
This amounts to say that 119881 = 119868119867minus12
119879minus
ThusHypothesis 1 (119901119867 minus 12 minus 1119901) holds provided that119901(119867 minus 12) gt 1
Example 19 The other classical example is the fractionalBrownian motion with stationary increments of Hurst index119867 gt 12 which can be written as
int
119905
0
119870119867 (119905 119904) d119861 (119904) (45)
where
119870119867 (119905 119903)
=(119905 minus 119903)
119867minus(12)
Γ (119867 + (12))119865 (
1
2minus 119867119867 minus
1
2119867 +
1
2 1 minus
119905
119903)
times 1[0119905) (119903)
(46)
The Gauss hypergeometric function 119865(120572 120573 120574 119911) (see [41]) isthe analytic continuation on C times C times C minus1 minus2 times 119911 isin
C Arg|1 minus 119911| lt 120587 of the power series
+infin
sum
119896=0
(120572)119896(120573)119896
(120574)119896119896119911119896
(119886)0 = 1
(119886)119896 =Γ (119886 + 119896)
Γ (119886)= 119886 (119886 + 1) sdot sdot sdot (119886 + 119896 minus 1)
(47)
We know from [36] that 119870119867
is an isomorphism from L119901
([0 1]) ontoI+
119867+12119901and
119870119867119891 = 119868
1
0+119909
119867minus12119868119867minus12
0+ 119909
12minus119867119891 (48)
Consider thatK119867= 119868
minus1
0+ ∘ 119870119867 Then it is clear that
int
119905
0
119870119867 (119905 119904) d119861 (119904) = int
119905
0
(K119867)lowast
119879(1[0119905]) (119904) d119861 (119904) (49)
hence we are in the framework of Definition 17 provided thatwe take 119881 = (K
119867)lowast
119879 Hypothesis 1 (119901119867 minus 12 minus 1119901) is
satisfied provided that 119901(119867 minus 12) gt 1
The next theorem then follows from [26]
Theorem 20 Assume that Hypothesis 1 (119901 120578) holds Assumethat 119906 belongs toL
1199011Then 119906 is119881-Stratonovitch integrable and
there exists a process which we denote by 119863W119906 such that 119863W
119906
belongs to 119871119901(P otimes 119889119904) and
int
119879
0
119906 (119904) ∘ dWV(s) = 120575W (Vu) + int
T
0DWu (s) ds (50)
The so-called ldquotrace-termrdquo satisfies the following estimate
E [int119879
0
10038161003816100381610038161003816119863
W119906(119903)
10038161003816100381610038161003816
119901
dr] le 119888 119879119901120578119906119901L1199011
(51)
for some universal constant 119888 Moreover for any 119903 le 119879 119890119903119906 is
119881-Stratonovitch integrable and
int
119903
0
119906 (119904) ∘ dWV(s)
= int
119879
0
(119890119903119906) (119904) ∘ dWV
(s)
= 120575W(119881119890
119903119906) + int
119903
0
119863W119906 (119904) ds
(52)
International Journal of Stochastic Analysis 7
and we have the maximal inequality
E[10038171003817100381710038171003817100381710038171003817
int
0
119906(119904) ∘ dWV(s)10038171003817100381710038171003817100381710038171003817
119901
Hol (120578)] le 119888 119906
119901
L1199011
(53)
where 119888 does not depend on 119906
The main result of this Section is the following theoremwhich states that the time reversal of a Stratonovitch integralis an adapted integral with respect to the time-reversedBrownian motion Due to its length its proof is postponedto Section 51
Theorem 21 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011and let
119879= 120591
119905119881120591
119879 Assume furthermore that
119881 is 0-causal and that = 119906 ∘ Θminus1
119879isF
0-adapted Then
int
119879minus119903
119879minus119905
120591119879119906 (119904) ∘ dWV
(s)
= int
119905
119903
119879(1[119903119905]) (119904) dBT
(s) 0 le r le t le T(54)
where the last integral is an Ito integral with respect to the timereversed Brownianmotion 119879(119904) = 119861(119879)minus119861(119879minus119904) = Θ
119879(119861)(119904)
Remark 22 Note that at a formal level we could have an easyproof of this theorem For instance consider the Levy fBmand a simple computation shows that
119879= 119868
119867minus12
0+
for any119879 Thus we are led to compute trace(119868119867minus12
0+
nabla119906) If we hadsufficient regularity we could write
trace (119868119867minus120+ nabla119906) = int
119879
0
int
119904
0
(119904 minus 119903)119867minus32
nabla119904119906 (119903) d119903 d119904 = 0
(55)
since nabla119904119906(119903) = 0 for 119904 gt 119903 for 119906 adapted Obviously there are
many flaws in these lines of proof The operator 119868119867minus120+
nabla119906 isnot regular enough for such an expression of the trace to betrue Even more there is absolutely no reason for
119879nabla119906 to be
a kernel operator so we cannot hope such a formula Theseare the reasons that we need to work with operators and notwith kernels
4 Volterra-Driven SDEs
LetG be the group of homeomorphisms ofR119899 equipped withthe distance We introduce a distance 119889 onG by
119889 (120593 120601) = 120588 (120593 120601) + 120588 (120593minus1 120601
minus1) (56)
where
120588 (120593 120601) =
infin
sum
119873=1
2minus119873
sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
1 + sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
sdot (57)
Then G is a complete topological group Consider theequations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (A)
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (B)
As a solution of (A) is to be constructed by ldquoinvertingrdquoa solution of (B) we need to add to the definition of asolution of (A) or (B) the requirement of being a flowof homeomorphisms This is the meaning of the followingdefinition
Definition 23 By a solution of (A) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119883119903119905 (120596 119909))
(58)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119883119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905-measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119905) 997891rarr 119883
119903119905(120596 119909) and (120596 119905) 997891rarr 119883
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119883119903119905 (120596 119909) = 119883119904119905
(120596119883119903119904 (120596 119909)) (59)
(4) Equation (A) is satisfied for any 0 le 119903 le 119905 le 119879 P-as
Definition 24 By a solution of (B) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119884119903119905 (120596 119909))
(60)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119884119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119884
119903119905(120596 119909) and (120596 119903) 997891rarr 119884
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (B) is satisfied for any 0 le 119903 le 119905 le 119879 P-as(4) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (61)
At last consider the equation for any 0 le 119903 le 119905 le 119879
119885119903119905= 119909 minus int
119905
119903
119879(120590 ∘ 119885
1199051[119903119905]) (119904) d119879 (119904) (C)
where 119861 is a standard 119899-dimensional Brownian motion
8 International Journal of Stochastic Analysis
Definition 25 By a solution of (C) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119885119903119905 (120596 119909))
(62)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119885119903119905(120596 119909) is
120590119879(119904) 119904 le 119903 le 119905measurable
(2) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119885
119903119905(120596 119909) and (120596 119903) 997891rarr 119885
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (C) is satisfied for any 0 le 119903 le 119905 le 119879P-as
Theorem 26 Assume that 119879is an 1198640 causal map continuous
from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1Assume that 120590 is Lipschitz continuous and sublinear see (96)for the definition Then there exists a unique solution to (C)Let 119885 denote this solution For any (119903 1199031015840)
E [1003816100381610038161003816119885119903119879 minus 1198851199031015840 1198791003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(63)
Moreover
(120596 119903) 997891997888rarr 119885119903119904(120596 119885
119904119905 (120596 119909)) isin L1199011
for any 119903 le 119904 le 119905 le 119879(64)
Since this proof needs several lemmas we defer it toSection 52
Theorem 27 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 2 such that 120572119901 gt 1 Forfixed 119879 there exists a bijection between the space of solutionsof (B) on [0 119879] and the set of solutions of (C)
Proof Set
119885119903119879 ( 119909) = 119884119879minus119903119879 (Θ
minus1
119879() 119909) (65)
or equivalently
119884119903119879 (120596 119909) = 119885119879minus119903119879 (Θ119879 (120596) 119909) (66)
According to Theorem 21 119884 satisfies (B) if and only if 119885satisfies (C) The regularity properties are immediate sinceL119901 is stable by 120591
119879
The first part of the next result is then immediate
Corollary 28 Assume that 119879is an 1198640-causal map contin-
uous from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 2 such that120572119901 gt 1 Then (B) has one and only one solution and for any0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (67)
Proof According toTheorems 27 and 26 (B) has at most onesolution since (C) has a unique solution As to the existencepoints from (1) to (3) are immediately deduced from thecorresponding properties of 119885 and (66)
According to Theorem 26 (120596 119903) 997891rarr 119884119903119904(120596 119884
119904119905(120596 119909))
belongs to L1199011 hence we can apply the substitution formula
and119884119903119904(120596 119884
119904119905 (120596 119909))
= 119884119904119905 (120596 119909) minus int
119904
119903
120590 (119884120591119904 (120596 119909)) ∘ d119882
119881(120591)
10038161003816100381610038161003816100381610038161003816119909=119884119904119905(120596119909)
= 119909 minus int
119905
119904
120590 (119884120591119905 (120596 119909) ∘ d119882
119881(120591)
minus int
119904
119903
120590 (119884120591119904(120596 119884
119904119905 (120596 119909)) ) ∘ d119882119881(120591)
(68)
Set
119877120591119905=
119884120591119905 (120596 119909) for 119904 le 120591 le 119905119884120591119904(120596 119884
119904119905 (120596 119909)) for 119903 le 120591 le 119904(69)
Then in view of (68) 119877 appears to be the unique solution (B)and thus 119877
119904119905(120596 119909) = 119884
119904119905(120596 119909) Point (4) is thus proved
Corollary 29 For 119909 fixed the random field (119884119903119905(119909) 0 le 119903 le
119905 le 119879) admits a continuous version Moreover
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(70)
We still denote by 119884 this continuous version
Proof Without loss of generality assume that 119904 le 1199041015840 and
remark that 1198841199041199041015840(119909)
thus belongs to 120590119879119906 119906 ge 119904
E [1003816100381610038161003816119884119903119904(119909) minus 11988411990310158401199041015840(119909)1003816100381610038161003816
119901]
le 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 1199041015840 (119909)1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119885119904minus119903119904 (119909) minus 119885119904minus1199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
(71)
According toTheorem 37
E [1003816100381610038161003816119885119904minus119903119904(119909) minus 119885119904minus1199031015840 119904(119909)1003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(1 + |119909|119901) (72)
In view of Theorem 21 the stochastic integral which appearsin (C) is also a Stratonovitch integral hence we can apply thesubstitution formula and say
119885119904minus1199031015840119904(119884
1199041199041015840 (119909)) = 119885119904minus1199031015840 119904(119910)
1003816100381610038161003816119910=1198841199041199041015840 (119909) (73)
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
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Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
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Operations ResearchAdvances in
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Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
4 International Journal of Stochastic Analysis
we can consider 119891((1199051) (119905
119896)) as a cylindrical function
with respect to the standard Brownian motion As such itsgradient is given by
nabla119903119891 ( (119905
1) (119905
119896))
=
119896
sum
119895=1
120597119895119891 ( (119905
1) (119905
119896)) 1
[119879minus119905119895119879] (119903)
(21)
We thus have for any cylindrical function 119865
nabla119865 ∘ Θ119879 (120596) = 120591119879nabla119865 () (22)
Since Θlowast
119879P = P and 120591
119879is continuous from L119901 into itself
for any 119901 it is then easily shown that the spacesD119901119896
and D119901119896
(with obvious notations) coincide for any 119901 119896 and that (22)holds for any element of one of these spaces Hence we haveproved the following theorem
Theorem 2 For any 119901 ge 1 and any integer 119896 the spaces D119901119896
and D119901119896
coincide For any 119865 isin D119901119896
for some 119901 119896
nabla (119865 ∘ Θ119879) = 120591
119879nabla (119865 ∘ Θ
119879) P as (23)
By duality an analog result follows for divergences
Theorem 3 A process 119906 belongs to the domain of 120575 if andonly if 120591
119879119906 belongs to the domain of 120575 and then the following
equality holds
120575 (119906 ()) () = 120575 (120591119879119906 ()) (120596) = 120575 (120591119879119906 ∘ Θ119879) (120596) (24)
Proof For119906 isinL2 for cylindrical119865 we have on the one hand
E [119865 () 120575119906 ()] = E [(nabla119865 () 119906)L2] (25)
and on the other hand
E [(nabla119865 () 119906)L2] = E [(120591
119879nabla119865 ∘ Θ
119879 (120596) 119906)L2]
= E [(nabla119865 ∘ Θ119879 (120596) 120591119879119906)L2
]
= E [119865 ∘ Θ119879 (120596) 120575 (120591119879119906) (120596)]
= E [119865 () 120575 (120591119879119906) (120596)]
(26)
Since this is valid for any cylindrical 119865 (24) holds for 119906 isinL2Now for 119906 in the domain of divergence (see [37 38])
120575119906 = sum
119894
((119906 ℎ119894)L2120575ℎ
119894minus (nabla119906 ℎ
119894otimes ℎ
119894)L2otimesL2
) (27)
where (ℎ119894 119894 isin N) is an orthonormal basis ofL2
([0 119879] R119899)Thus we have
120575 (119906 ()) () = sum
119894
((119906 () ℎ119894)L2120575ℎ119894 ()
minus(nabla119906 () ℎ119894 otimes ℎ119894)L2otimesL2)
= sum
119894
((119906 () ℎ119894)L2120575 (120591
119879ℎ119894) (120596)
minus(nabla119906 () 120591119879ℎ119894 otimes ℎ119894)L2otimesL2)
= sum
119894
((120591119879119906 () 120591119879ℎ119894)L2
120575 (120591119879ℎ119894) (120596)
minus(nabla120591119879119906 () 120591119879ℎ119894 otimes 120591119879ℎ119894)L2otimesL2
)
(28)
where we have taken into account that 120591119879is in an involution
Since (ℎ119894 119894 isin N) is an orthonormal basis of L2
([0 119879] R119899)identity (24) is satisfied for any 119906 in the domain of 120575
31 Causality and Quasinilpotence In anticipative calculusthe notion of trace of an operator plays a crucial roleWe referto [39] for more details on trace
Definition 4 Let 119881 be a bounded map from L2([0 119879] R119899)
into itself The map 119881 is said to be trace class whenever forone CONB (ℎ
119899 119899 ge 1) ofL2
([0 119879] R119899)
sum
119899ge1
1003816100381610038161003816(119881ℎ119899 ℎ119899)L21003816100381610038161003816 is finite (29)
Then the trace of 119881 is defined by
trace (119881) = sum119899ge1
(119881ℎ119899 ℎ
119899)L2 (30)
It is easily shown that the notion of trace does not dependon the choice of the CONB
Definition 5 A family 119864 of projections (119864120582 120582 isin [0 1])
in L2([0 119879] R119899) is called a resolution of the identity if it
satisfies the conditions
(1) 1198640= 0 and 119864
1= Id
(2) 119864120582119864120583= 119864
120582and120583
(3) lim120583darr120582119864120583= 119864
120582for any 120582 isin [0 1) and lim
120583uarr1119864120583= Id
For instance the family 119864 = (119890120582119879 120582 isin [0 1]) is a
resolution of the identity inL2([0 119879] R119899)
Definition 6 A partition 120587 of [0 119879] is a sequence 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 Its mesh is denoted by |120587| and defined by
|120587| = sup119894|119905119894+1minus 119905
119894|
The causality plays a crucial role in what followsThe nextdefinition is just the formalization in terms of operator of theintuitive notion of causality
International Journal of Stochastic Analysis 5
Definition 7 A continuous map 119881 from L2([0 119879] R119899) into
itself is said to be 119864 causal if and only if the followingcondition holds
119864120582119881119864
120582= 119864
120582119881 for any 120582 isin [0 1] (31)
For instance an operator 119881 in integral form 119881119891(119905) =
int119879
0119881(119905 119904)119891(119904)d119904 is causal if and only if 119881(119905 119904) = 0 for 119904 ge 119905
that is computing119881119891(119905) needs only the knowledge of 119891 up totime 119905 and not after Unfortunately this notion of causality isinsufficient for our purpose and we are led to introduce thenotion of strict causality as in [40]
Definition 8 Let 119881 be a causal operator It is a strictly causaloperator whenever for any 120576 gt 0 there exists a partition 120587 of[0 119879] such that for any 1205871015840 = 0 = 119905
0lt 119905
1lt sdot sdot sdot lt 119905
119899= 119879 sub 120587
10038171003817100381710038171003817(119864
119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)10038171003817100381710038171003817L2
lt 120576 for 119894 = 0 119899 minus 1(32)
Note carefully that the identity map is causal but notstrictly causal Indeed if 119881 = Id for any 119904 lt 119905
1003817100381710038171003817(119864119905 minus 119864119904)119881(119864119905 minus 119864119904)1003817100381710038171003817L2
=1003817100381710038171003817119864119905 minus 119864119904
1003817100381710038171003817L2= 1 (33)
since 119864119905minus 119864
119904is a projection However if 119881 is hyper-contract-
ive we have the following result
Lemma 9 Assume the resolution of the identity to be either119864 = (119890
120582119879 120582 isin [0 1]) or 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) If 119881 is
an 119864 causal map continuous fromL2 intoL119901 for some 119901 gt 2then 119881 is strictly 119864 causal
Proof Let 120587 be any partition of [0 119879] Assume that 119864 =
(119890120582119879 120582 isin [0 1]) and the very same proof works for the other
mentioned resolution of the identity According to Holderformula we have for any 0 le 119904 lt 119905 le 119879
1003817100381710038171003817(119864119905 minus 119864119904) 119881 (119864119905 minus 119864119904) 1198911003817100381710038171003817L2
= int
119905
119904
1003816100381610038161003816119881(1198911(119904119905])(119906)1003816100381610038161003816
2d119906
le (119905 minus 119904)1minus21199011003817100381710038171003817119881(1198911(119904119905])
1003817100381710038171003817L1199012
le 119888 (119905 minus 119904)1minus21199011003817100381710038171003817119891
1003817100381710038171003817L2
(34)
Then for any 120576 gt 0 there exists 120578 gt 0 such that |120587| lt 120578
implies (119864119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)119891L2 le 120576 for any 0 = 1199050 lt1199051lt sdot sdot sdot lt 119905
119899= 119879 sub 120587 and any 119894 = 0 119899 minus 1
The importance of strict causality lies in the next theoremwe borrow from [40]
Theorem 10 The set of strictly causal operators coincides withthe set of quasinilpotent operators that is trace-class operatorssuch that trace(119881119899) = 0 for any integer 119899 ge 1
Moreover we have the following stability theorem
Theorem 11 The set of strictly causal operators is a two-sidedideal in the set of causal operators
Definition 12 Let 119864 be a resolution of the identity inL2([0 119879]R119899) Consider the filtrationF119864 defined as
F119864
119905= 120590 120575
W(119864
120582ℎ) 120582 le 119905 ℎ isinL
2 (35)
An L2-valued random variable 119906 is said to be F119864 adaptedif for any ℎ isin L2 the real valued process ⟨119864
120582119906 ℎ⟩ is F119864-
adaptedWedenote byD119864
119901119896(H) the set ofF119864 adapted random
variables belonging to D119901119896(H)
If 119864 = (119890120582119879 120582 isin [0 1]) the notion of F119864 adapted proc-
esses coincides with the usual one for the Brownian filtrationand it is well known that a process 119906 is adapted if and only ifnablaW119903119906(119904) = 0 for 119903 gt 119904 This result can be generalized to any
resolution of the identity
Theorem 13 (Proposition 31 of [33]) Let 119906 belongs to L1199011
Then 119906 isF119864 adapted if and only if nablaW119906 is 119864 causal
We then have the following key theorem
Theorem 14 Assume the resolution of the identity to be 119864 =(119890120582119879 120582 isin [0 1]) either 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) and that
119881 is an 119864-strictly causal continuous operator fromL2 intoL119901
for some 119901 gt 2 Let 119906 be an element of D119864
21(L2
) Then 119881nablaW119906
is of trace class and we have trace(119881nablaW119906) = 0
Proof Since 119906 is adapted nablaW119906 is 119864-causal According to
Theorem 11 119881nablaW119906 is strictly causal and the result follows by
Theorem 10
In what follows 1198640 is the resolution of the identity inthe Hilbert space L2 defined by 119890
120582 119879119891 = 1198911
[0120582119879]and 0 is
the resolution of the identity defined by 119890120582119879119891 = 1198911
[(1minus120582)119879119879]
The filtrations F1198640
and F0
are defined accordingly Nextlemma is immediate when 119881 is given in the form of 119881119891(119905) =int119905
0119881(119905 119904)119891(119904)d119904 Unfortunately such a representation as an
integral operator is not always available We give here analgebraic proof to emphasize the importance of causality
Lemma 15 Let 119881 be a map from L2([0 119879] R119899) into itself
such that 119881 is 1198640-causal Let 119881lowast be the adjoint of 119881 inL2([0 119879]R119899) Then the map 120591
119879119881lowast
119879120591119879is 0-causal
Proof This is a purely algebraic lemma once we have noticedthat
120591119879119890119903= (Id minus 119890
119879minus119903) 120591
119879for any 0 le 119903 le 119879 (36)
For it suffices to write
120591119879119890119903119891 (119904) = 119891 (119879 minus 119904) 1[0119903] (119879 minus 119904)
= 119891 (119879 minus 119904) 1[119879minus119903119879] (119904)
= (Id minus 119890119879minus119903) 120591
119879119891 (119904) for any 0 le 119904 le 119879
(37)
6 International Journal of Stochastic Analysis
We have to show that
119890119903120591119879119881lowast
119879120591119879119890119903= 119890
119903120591119879119881lowast
119879120591119879or equivalently (38)
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903 (39)
since 119890lowast119903= 119890
119903and 120591lowast
119879= 120591
119879 Now (37) yields
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903minus 119890
119879minus119903119881120591
119879119890119903 (40)
Use (37) again to obtain
119890119879minus119903119881120591
119879119890119903= 119890
119879minus119903119881 (Id minus 119890
119879minus119903) 120591
119879
= (119890119879minus119903119881 minus 119890
119879minus119903119881119890
119879minus119903) 120591
119879= 0
(41)
since 119881 is 119864-causal
32 Stratonovitch Integrals In what follows 120578 belongs to(0 1] and 119881 is a linear operator For any 119901 ge 2 we set thefollowing
Hypothesis 1 (119901 120578) The linear map 119881 is continuous fromL119901
([0 119879]R119899) into the Banach space Hol(120578)
Definition 16 Assume that Hypothesis 1 (119901 120578) holds TheVolterra process associated to 119881 denoted by119882119881 is definedby
119882119881(119905) = 120575
W(119881 (1
[0119905])) forall 119905 isin [0 119879] (42)
For any subdivision 120587 of [0 119879] that is 120587 = 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 of mesh |120587| we consider the Stratonovitch
sums
119877120587(119905 119906) = 120575
W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881119906 (119903) d119903 1[119905119894119905119894+1))
+ sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119906) (119904) d119904 d119903
(43)
Definition 17 We say that 119906 is 119881-Stratonovitch integrable on[0 119905]whenever the family 119877120587(119905 119906) defined in (43) convergesin probability as |120587| goes to 0 In this case the limit will bedenoted by int119905
0119906(119904) ∘ d119882119881
(119904)
Example 18 Thefirst example is the so-called Levy fractionalBrownian motion of Hurst index119867 gt 12 defined as
1
Γ (119867 + 12)int
119905
0
(119905 minus 119904)119867minus12d119861
119904= 120575 (119868
119867minus12
119879minus (1
[0119905])) (44)
This amounts to say that 119881 = 119868119867minus12
119879minus
ThusHypothesis 1 (119901119867 minus 12 minus 1119901) holds provided that119901(119867 minus 12) gt 1
Example 19 The other classical example is the fractionalBrownian motion with stationary increments of Hurst index119867 gt 12 which can be written as
int
119905
0
119870119867 (119905 119904) d119861 (119904) (45)
where
119870119867 (119905 119903)
=(119905 minus 119903)
119867minus(12)
Γ (119867 + (12))119865 (
1
2minus 119867119867 minus
1
2119867 +
1
2 1 minus
119905
119903)
times 1[0119905) (119903)
(46)
The Gauss hypergeometric function 119865(120572 120573 120574 119911) (see [41]) isthe analytic continuation on C times C times C minus1 minus2 times 119911 isin
C Arg|1 minus 119911| lt 120587 of the power series
+infin
sum
119896=0
(120572)119896(120573)119896
(120574)119896119896119911119896
(119886)0 = 1
(119886)119896 =Γ (119886 + 119896)
Γ (119886)= 119886 (119886 + 1) sdot sdot sdot (119886 + 119896 minus 1)
(47)
We know from [36] that 119870119867
is an isomorphism from L119901
([0 1]) ontoI+
119867+12119901and
119870119867119891 = 119868
1
0+119909
119867minus12119868119867minus12
0+ 119909
12minus119867119891 (48)
Consider thatK119867= 119868
minus1
0+ ∘ 119870119867 Then it is clear that
int
119905
0
119870119867 (119905 119904) d119861 (119904) = int
119905
0
(K119867)lowast
119879(1[0119905]) (119904) d119861 (119904) (49)
hence we are in the framework of Definition 17 provided thatwe take 119881 = (K
119867)lowast
119879 Hypothesis 1 (119901119867 minus 12 minus 1119901) is
satisfied provided that 119901(119867 minus 12) gt 1
The next theorem then follows from [26]
Theorem 20 Assume that Hypothesis 1 (119901 120578) holds Assumethat 119906 belongs toL
1199011Then 119906 is119881-Stratonovitch integrable and
there exists a process which we denote by 119863W119906 such that 119863W
119906
belongs to 119871119901(P otimes 119889119904) and
int
119879
0
119906 (119904) ∘ dWV(s) = 120575W (Vu) + int
T
0DWu (s) ds (50)
The so-called ldquotrace-termrdquo satisfies the following estimate
E [int119879
0
10038161003816100381610038161003816119863
W119906(119903)
10038161003816100381610038161003816
119901
dr] le 119888 119879119901120578119906119901L1199011
(51)
for some universal constant 119888 Moreover for any 119903 le 119879 119890119903119906 is
119881-Stratonovitch integrable and
int
119903
0
119906 (119904) ∘ dWV(s)
= int
119879
0
(119890119903119906) (119904) ∘ dWV
(s)
= 120575W(119881119890
119903119906) + int
119903
0
119863W119906 (119904) ds
(52)
International Journal of Stochastic Analysis 7
and we have the maximal inequality
E[10038171003817100381710038171003817100381710038171003817
int
0
119906(119904) ∘ dWV(s)10038171003817100381710038171003817100381710038171003817
119901
Hol (120578)] le 119888 119906
119901
L1199011
(53)
where 119888 does not depend on 119906
The main result of this Section is the following theoremwhich states that the time reversal of a Stratonovitch integralis an adapted integral with respect to the time-reversedBrownian motion Due to its length its proof is postponedto Section 51
Theorem 21 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011and let
119879= 120591
119905119881120591
119879 Assume furthermore that
119881 is 0-causal and that = 119906 ∘ Θminus1
119879isF
0-adapted Then
int
119879minus119903
119879minus119905
120591119879119906 (119904) ∘ dWV
(s)
= int
119905
119903
119879(1[119903119905]) (119904) dBT
(s) 0 le r le t le T(54)
where the last integral is an Ito integral with respect to the timereversed Brownianmotion 119879(119904) = 119861(119879)minus119861(119879minus119904) = Θ
119879(119861)(119904)
Remark 22 Note that at a formal level we could have an easyproof of this theorem For instance consider the Levy fBmand a simple computation shows that
119879= 119868
119867minus12
0+
for any119879 Thus we are led to compute trace(119868119867minus12
0+
nabla119906) If we hadsufficient regularity we could write
trace (119868119867minus120+ nabla119906) = int
119879
0
int
119904
0
(119904 minus 119903)119867minus32
nabla119904119906 (119903) d119903 d119904 = 0
(55)
since nabla119904119906(119903) = 0 for 119904 gt 119903 for 119906 adapted Obviously there are
many flaws in these lines of proof The operator 119868119867minus120+
nabla119906 isnot regular enough for such an expression of the trace to betrue Even more there is absolutely no reason for
119879nabla119906 to be
a kernel operator so we cannot hope such a formula Theseare the reasons that we need to work with operators and notwith kernels
4 Volterra-Driven SDEs
LetG be the group of homeomorphisms ofR119899 equipped withthe distance We introduce a distance 119889 onG by
119889 (120593 120601) = 120588 (120593 120601) + 120588 (120593minus1 120601
minus1) (56)
where
120588 (120593 120601) =
infin
sum
119873=1
2minus119873
sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
1 + sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
sdot (57)
Then G is a complete topological group Consider theequations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (A)
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (B)
As a solution of (A) is to be constructed by ldquoinvertingrdquoa solution of (B) we need to add to the definition of asolution of (A) or (B) the requirement of being a flowof homeomorphisms This is the meaning of the followingdefinition
Definition 23 By a solution of (A) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119883119903119905 (120596 119909))
(58)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119883119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905-measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119905) 997891rarr 119883
119903119905(120596 119909) and (120596 119905) 997891rarr 119883
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119883119903119905 (120596 119909) = 119883119904119905
(120596119883119903119904 (120596 119909)) (59)
(4) Equation (A) is satisfied for any 0 le 119903 le 119905 le 119879 P-as
Definition 24 By a solution of (B) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119884119903119905 (120596 119909))
(60)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119884119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119884
119903119905(120596 119909) and (120596 119903) 997891rarr 119884
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (B) is satisfied for any 0 le 119903 le 119905 le 119879 P-as(4) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (61)
At last consider the equation for any 0 le 119903 le 119905 le 119879
119885119903119905= 119909 minus int
119905
119903
119879(120590 ∘ 119885
1199051[119903119905]) (119904) d119879 (119904) (C)
where 119861 is a standard 119899-dimensional Brownian motion
8 International Journal of Stochastic Analysis
Definition 25 By a solution of (C) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119885119903119905 (120596 119909))
(62)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119885119903119905(120596 119909) is
120590119879(119904) 119904 le 119903 le 119905measurable
(2) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119885
119903119905(120596 119909) and (120596 119903) 997891rarr 119885
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (C) is satisfied for any 0 le 119903 le 119905 le 119879P-as
Theorem 26 Assume that 119879is an 1198640 causal map continuous
from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1Assume that 120590 is Lipschitz continuous and sublinear see (96)for the definition Then there exists a unique solution to (C)Let 119885 denote this solution For any (119903 1199031015840)
E [1003816100381610038161003816119885119903119879 minus 1198851199031015840 1198791003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(63)
Moreover
(120596 119903) 997891997888rarr 119885119903119904(120596 119885
119904119905 (120596 119909)) isin L1199011
for any 119903 le 119904 le 119905 le 119879(64)
Since this proof needs several lemmas we defer it toSection 52
Theorem 27 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 2 such that 120572119901 gt 1 Forfixed 119879 there exists a bijection between the space of solutionsof (B) on [0 119879] and the set of solutions of (C)
Proof Set
119885119903119879 ( 119909) = 119884119879minus119903119879 (Θ
minus1
119879() 119909) (65)
or equivalently
119884119903119879 (120596 119909) = 119885119879minus119903119879 (Θ119879 (120596) 119909) (66)
According to Theorem 21 119884 satisfies (B) if and only if 119885satisfies (C) The regularity properties are immediate sinceL119901 is stable by 120591
119879
The first part of the next result is then immediate
Corollary 28 Assume that 119879is an 1198640-causal map contin-
uous from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 2 such that120572119901 gt 1 Then (B) has one and only one solution and for any0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (67)
Proof According toTheorems 27 and 26 (B) has at most onesolution since (C) has a unique solution As to the existencepoints from (1) to (3) are immediately deduced from thecorresponding properties of 119885 and (66)
According to Theorem 26 (120596 119903) 997891rarr 119884119903119904(120596 119884
119904119905(120596 119909))
belongs to L1199011 hence we can apply the substitution formula
and119884119903119904(120596 119884
119904119905 (120596 119909))
= 119884119904119905 (120596 119909) minus int
119904
119903
120590 (119884120591119904 (120596 119909)) ∘ d119882
119881(120591)
10038161003816100381610038161003816100381610038161003816119909=119884119904119905(120596119909)
= 119909 minus int
119905
119904
120590 (119884120591119905 (120596 119909) ∘ d119882
119881(120591)
minus int
119904
119903
120590 (119884120591119904(120596 119884
119904119905 (120596 119909)) ) ∘ d119882119881(120591)
(68)
Set
119877120591119905=
119884120591119905 (120596 119909) for 119904 le 120591 le 119905119884120591119904(120596 119884
119904119905 (120596 119909)) for 119903 le 120591 le 119904(69)
Then in view of (68) 119877 appears to be the unique solution (B)and thus 119877
119904119905(120596 119909) = 119884
119904119905(120596 119909) Point (4) is thus proved
Corollary 29 For 119909 fixed the random field (119884119903119905(119909) 0 le 119903 le
119905 le 119879) admits a continuous version Moreover
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(70)
We still denote by 119884 this continuous version
Proof Without loss of generality assume that 119904 le 1199041015840 and
remark that 1198841199041199041015840(119909)
thus belongs to 120590119879119906 119906 ge 119904
E [1003816100381610038161003816119884119903119904(119909) minus 11988411990310158401199041015840(119909)1003816100381610038161003816
119901]
le 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 1199041015840 (119909)1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119885119904minus119903119904 (119909) minus 119885119904minus1199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
(71)
According toTheorem 37
E [1003816100381610038161003816119885119904minus119903119904(119909) minus 119885119904minus1199031015840 119904(119909)1003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(1 + |119909|119901) (72)
In view of Theorem 21 the stochastic integral which appearsin (C) is also a Stratonovitch integral hence we can apply thesubstitution formula and say
119885119904minus1199031015840119904(119884
1199041199041015840 (119909)) = 119885119904minus1199031015840 119904(119910)
1003816100381610038161003816119910=1198841199041199041015840 (119909) (73)
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
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Stochastic AnalysisInternational Journal of
International Journal of Stochastic Analysis 5
Definition 7 A continuous map 119881 from L2([0 119879] R119899) into
itself is said to be 119864 causal if and only if the followingcondition holds
119864120582119881119864
120582= 119864
120582119881 for any 120582 isin [0 1] (31)
For instance an operator 119881 in integral form 119881119891(119905) =
int119879
0119881(119905 119904)119891(119904)d119904 is causal if and only if 119881(119905 119904) = 0 for 119904 ge 119905
that is computing119881119891(119905) needs only the knowledge of 119891 up totime 119905 and not after Unfortunately this notion of causality isinsufficient for our purpose and we are led to introduce thenotion of strict causality as in [40]
Definition 8 Let 119881 be a causal operator It is a strictly causaloperator whenever for any 120576 gt 0 there exists a partition 120587 of[0 119879] such that for any 1205871015840 = 0 = 119905
0lt 119905
1lt sdot sdot sdot lt 119905
119899= 119879 sub 120587
10038171003817100381710038171003817(119864
119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)10038171003817100381710038171003817L2
lt 120576 for 119894 = 0 119899 minus 1(32)
Note carefully that the identity map is causal but notstrictly causal Indeed if 119881 = Id for any 119904 lt 119905
1003817100381710038171003817(119864119905 minus 119864119904)119881(119864119905 minus 119864119904)1003817100381710038171003817L2
=1003817100381710038171003817119864119905 minus 119864119904
1003817100381710038171003817L2= 1 (33)
since 119864119905minus 119864
119904is a projection However if 119881 is hyper-contract-
ive we have the following result
Lemma 9 Assume the resolution of the identity to be either119864 = (119890
120582119879 120582 isin [0 1]) or 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) If 119881 is
an 119864 causal map continuous fromL2 intoL119901 for some 119901 gt 2then 119881 is strictly 119864 causal
Proof Let 120587 be any partition of [0 119879] Assume that 119864 =
(119890120582119879 120582 isin [0 1]) and the very same proof works for the other
mentioned resolution of the identity According to Holderformula we have for any 0 le 119904 lt 119905 le 119879
1003817100381710038171003817(119864119905 minus 119864119904) 119881 (119864119905 minus 119864119904) 1198911003817100381710038171003817L2
= int
119905
119904
1003816100381610038161003816119881(1198911(119904119905])(119906)1003816100381610038161003816
2d119906
le (119905 minus 119904)1minus21199011003817100381710038171003817119881(1198911(119904119905])
1003817100381710038171003817L1199012
le 119888 (119905 minus 119904)1minus21199011003817100381710038171003817119891
1003817100381710038171003817L2
(34)
Then for any 120576 gt 0 there exists 120578 gt 0 such that |120587| lt 120578
implies (119864119905119894+1
minus 119864119905119894
)119881(119864119905119894+1
minus 119864119905119894
)119891L2 le 120576 for any 0 = 1199050 lt1199051lt sdot sdot sdot lt 119905
119899= 119879 sub 120587 and any 119894 = 0 119899 minus 1
The importance of strict causality lies in the next theoremwe borrow from [40]
Theorem 10 The set of strictly causal operators coincides withthe set of quasinilpotent operators that is trace-class operatorssuch that trace(119881119899) = 0 for any integer 119899 ge 1
Moreover we have the following stability theorem
Theorem 11 The set of strictly causal operators is a two-sidedideal in the set of causal operators
Definition 12 Let 119864 be a resolution of the identity inL2([0 119879]R119899) Consider the filtrationF119864 defined as
F119864
119905= 120590 120575
W(119864
120582ℎ) 120582 le 119905 ℎ isinL
2 (35)
An L2-valued random variable 119906 is said to be F119864 adaptedif for any ℎ isin L2 the real valued process ⟨119864
120582119906 ℎ⟩ is F119864-
adaptedWedenote byD119864
119901119896(H) the set ofF119864 adapted random
variables belonging to D119901119896(H)
If 119864 = (119890120582119879 120582 isin [0 1]) the notion of F119864 adapted proc-
esses coincides with the usual one for the Brownian filtrationand it is well known that a process 119906 is adapted if and only ifnablaW119903119906(119904) = 0 for 119903 gt 119904 This result can be generalized to any
resolution of the identity
Theorem 13 (Proposition 31 of [33]) Let 119906 belongs to L1199011
Then 119906 isF119864 adapted if and only if nablaW119906 is 119864 causal
We then have the following key theorem
Theorem 14 Assume the resolution of the identity to be 119864 =(119890120582119879 120582 isin [0 1]) either 119864 = (Id minus 119890
(1minus120582)119879 120582 isin [0 1]) and that
119881 is an 119864-strictly causal continuous operator fromL2 intoL119901
for some 119901 gt 2 Let 119906 be an element of D119864
21(L2
) Then 119881nablaW119906
is of trace class and we have trace(119881nablaW119906) = 0
Proof Since 119906 is adapted nablaW119906 is 119864-causal According to
Theorem 11 119881nablaW119906 is strictly causal and the result follows by
Theorem 10
In what follows 1198640 is the resolution of the identity inthe Hilbert space L2 defined by 119890
120582 119879119891 = 1198911
[0120582119879]and 0 is
the resolution of the identity defined by 119890120582119879119891 = 1198911
[(1minus120582)119879119879]
The filtrations F1198640
and F0
are defined accordingly Nextlemma is immediate when 119881 is given in the form of 119881119891(119905) =int119905
0119881(119905 119904)119891(119904)d119904 Unfortunately such a representation as an
integral operator is not always available We give here analgebraic proof to emphasize the importance of causality
Lemma 15 Let 119881 be a map from L2([0 119879] R119899) into itself
such that 119881 is 1198640-causal Let 119881lowast be the adjoint of 119881 inL2([0 119879]R119899) Then the map 120591
119879119881lowast
119879120591119879is 0-causal
Proof This is a purely algebraic lemma once we have noticedthat
120591119879119890119903= (Id minus 119890
119879minus119903) 120591
119879for any 0 le 119903 le 119879 (36)
For it suffices to write
120591119879119890119903119891 (119904) = 119891 (119879 minus 119904) 1[0119903] (119879 minus 119904)
= 119891 (119879 minus 119904) 1[119879minus119903119879] (119904)
= (Id minus 119890119879minus119903) 120591
119879119891 (119904) for any 0 le 119904 le 119879
(37)
6 International Journal of Stochastic Analysis
We have to show that
119890119903120591119879119881lowast
119879120591119879119890119903= 119890
119903120591119879119881lowast
119879120591119879or equivalently (38)
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903 (39)
since 119890lowast119903= 119890
119903and 120591lowast
119879= 120591
119879 Now (37) yields
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903minus 119890
119879minus119903119881120591
119879119890119903 (40)
Use (37) again to obtain
119890119879minus119903119881120591
119879119890119903= 119890
119879minus119903119881 (Id minus 119890
119879minus119903) 120591
119879
= (119890119879minus119903119881 minus 119890
119879minus119903119881119890
119879minus119903) 120591
119879= 0
(41)
since 119881 is 119864-causal
32 Stratonovitch Integrals In what follows 120578 belongs to(0 1] and 119881 is a linear operator For any 119901 ge 2 we set thefollowing
Hypothesis 1 (119901 120578) The linear map 119881 is continuous fromL119901
([0 119879]R119899) into the Banach space Hol(120578)
Definition 16 Assume that Hypothesis 1 (119901 120578) holds TheVolterra process associated to 119881 denoted by119882119881 is definedby
119882119881(119905) = 120575
W(119881 (1
[0119905])) forall 119905 isin [0 119879] (42)
For any subdivision 120587 of [0 119879] that is 120587 = 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 of mesh |120587| we consider the Stratonovitch
sums
119877120587(119905 119906) = 120575
W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881119906 (119903) d119903 1[119905119894119905119894+1))
+ sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119906) (119904) d119904 d119903
(43)
Definition 17 We say that 119906 is 119881-Stratonovitch integrable on[0 119905]whenever the family 119877120587(119905 119906) defined in (43) convergesin probability as |120587| goes to 0 In this case the limit will bedenoted by int119905
0119906(119904) ∘ d119882119881
(119904)
Example 18 Thefirst example is the so-called Levy fractionalBrownian motion of Hurst index119867 gt 12 defined as
1
Γ (119867 + 12)int
119905
0
(119905 minus 119904)119867minus12d119861
119904= 120575 (119868
119867minus12
119879minus (1
[0119905])) (44)
This amounts to say that 119881 = 119868119867minus12
119879minus
ThusHypothesis 1 (119901119867 minus 12 minus 1119901) holds provided that119901(119867 minus 12) gt 1
Example 19 The other classical example is the fractionalBrownian motion with stationary increments of Hurst index119867 gt 12 which can be written as
int
119905
0
119870119867 (119905 119904) d119861 (119904) (45)
where
119870119867 (119905 119903)
=(119905 minus 119903)
119867minus(12)
Γ (119867 + (12))119865 (
1
2minus 119867119867 minus
1
2119867 +
1
2 1 minus
119905
119903)
times 1[0119905) (119903)
(46)
The Gauss hypergeometric function 119865(120572 120573 120574 119911) (see [41]) isthe analytic continuation on C times C times C minus1 minus2 times 119911 isin
C Arg|1 minus 119911| lt 120587 of the power series
+infin
sum
119896=0
(120572)119896(120573)119896
(120574)119896119896119911119896
(119886)0 = 1
(119886)119896 =Γ (119886 + 119896)
Γ (119886)= 119886 (119886 + 1) sdot sdot sdot (119886 + 119896 minus 1)
(47)
We know from [36] that 119870119867
is an isomorphism from L119901
([0 1]) ontoI+
119867+12119901and
119870119867119891 = 119868
1
0+119909
119867minus12119868119867minus12
0+ 119909
12minus119867119891 (48)
Consider thatK119867= 119868
minus1
0+ ∘ 119870119867 Then it is clear that
int
119905
0
119870119867 (119905 119904) d119861 (119904) = int
119905
0
(K119867)lowast
119879(1[0119905]) (119904) d119861 (119904) (49)
hence we are in the framework of Definition 17 provided thatwe take 119881 = (K
119867)lowast
119879 Hypothesis 1 (119901119867 minus 12 minus 1119901) is
satisfied provided that 119901(119867 minus 12) gt 1
The next theorem then follows from [26]
Theorem 20 Assume that Hypothesis 1 (119901 120578) holds Assumethat 119906 belongs toL
1199011Then 119906 is119881-Stratonovitch integrable and
there exists a process which we denote by 119863W119906 such that 119863W
119906
belongs to 119871119901(P otimes 119889119904) and
int
119879
0
119906 (119904) ∘ dWV(s) = 120575W (Vu) + int
T
0DWu (s) ds (50)
The so-called ldquotrace-termrdquo satisfies the following estimate
E [int119879
0
10038161003816100381610038161003816119863
W119906(119903)
10038161003816100381610038161003816
119901
dr] le 119888 119879119901120578119906119901L1199011
(51)
for some universal constant 119888 Moreover for any 119903 le 119879 119890119903119906 is
119881-Stratonovitch integrable and
int
119903
0
119906 (119904) ∘ dWV(s)
= int
119879
0
(119890119903119906) (119904) ∘ dWV
(s)
= 120575W(119881119890
119903119906) + int
119903
0
119863W119906 (119904) ds
(52)
International Journal of Stochastic Analysis 7
and we have the maximal inequality
E[10038171003817100381710038171003817100381710038171003817
int
0
119906(119904) ∘ dWV(s)10038171003817100381710038171003817100381710038171003817
119901
Hol (120578)] le 119888 119906
119901
L1199011
(53)
where 119888 does not depend on 119906
The main result of this Section is the following theoremwhich states that the time reversal of a Stratonovitch integralis an adapted integral with respect to the time-reversedBrownian motion Due to its length its proof is postponedto Section 51
Theorem 21 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011and let
119879= 120591
119905119881120591
119879 Assume furthermore that
119881 is 0-causal and that = 119906 ∘ Θminus1
119879isF
0-adapted Then
int
119879minus119903
119879minus119905
120591119879119906 (119904) ∘ dWV
(s)
= int
119905
119903
119879(1[119903119905]) (119904) dBT
(s) 0 le r le t le T(54)
where the last integral is an Ito integral with respect to the timereversed Brownianmotion 119879(119904) = 119861(119879)minus119861(119879minus119904) = Θ
119879(119861)(119904)
Remark 22 Note that at a formal level we could have an easyproof of this theorem For instance consider the Levy fBmand a simple computation shows that
119879= 119868
119867minus12
0+
for any119879 Thus we are led to compute trace(119868119867minus12
0+
nabla119906) If we hadsufficient regularity we could write
trace (119868119867minus120+ nabla119906) = int
119879
0
int
119904
0
(119904 minus 119903)119867minus32
nabla119904119906 (119903) d119903 d119904 = 0
(55)
since nabla119904119906(119903) = 0 for 119904 gt 119903 for 119906 adapted Obviously there are
many flaws in these lines of proof The operator 119868119867minus120+
nabla119906 isnot regular enough for such an expression of the trace to betrue Even more there is absolutely no reason for
119879nabla119906 to be
a kernel operator so we cannot hope such a formula Theseare the reasons that we need to work with operators and notwith kernels
4 Volterra-Driven SDEs
LetG be the group of homeomorphisms ofR119899 equipped withthe distance We introduce a distance 119889 onG by
119889 (120593 120601) = 120588 (120593 120601) + 120588 (120593minus1 120601
minus1) (56)
where
120588 (120593 120601) =
infin
sum
119873=1
2minus119873
sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
1 + sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
sdot (57)
Then G is a complete topological group Consider theequations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (A)
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (B)
As a solution of (A) is to be constructed by ldquoinvertingrdquoa solution of (B) we need to add to the definition of asolution of (A) or (B) the requirement of being a flowof homeomorphisms This is the meaning of the followingdefinition
Definition 23 By a solution of (A) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119883119903119905 (120596 119909))
(58)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119883119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905-measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119905) 997891rarr 119883
119903119905(120596 119909) and (120596 119905) 997891rarr 119883
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119883119903119905 (120596 119909) = 119883119904119905
(120596119883119903119904 (120596 119909)) (59)
(4) Equation (A) is satisfied for any 0 le 119903 le 119905 le 119879 P-as
Definition 24 By a solution of (B) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119884119903119905 (120596 119909))
(60)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119884119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119884
119903119905(120596 119909) and (120596 119903) 997891rarr 119884
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (B) is satisfied for any 0 le 119903 le 119905 le 119879 P-as(4) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (61)
At last consider the equation for any 0 le 119903 le 119905 le 119879
119885119903119905= 119909 minus int
119905
119903
119879(120590 ∘ 119885
1199051[119903119905]) (119904) d119879 (119904) (C)
where 119861 is a standard 119899-dimensional Brownian motion
8 International Journal of Stochastic Analysis
Definition 25 By a solution of (C) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119885119903119905 (120596 119909))
(62)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119885119903119905(120596 119909) is
120590119879(119904) 119904 le 119903 le 119905measurable
(2) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119885
119903119905(120596 119909) and (120596 119903) 997891rarr 119885
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (C) is satisfied for any 0 le 119903 le 119905 le 119879P-as
Theorem 26 Assume that 119879is an 1198640 causal map continuous
from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1Assume that 120590 is Lipschitz continuous and sublinear see (96)for the definition Then there exists a unique solution to (C)Let 119885 denote this solution For any (119903 1199031015840)
E [1003816100381610038161003816119885119903119879 minus 1198851199031015840 1198791003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(63)
Moreover
(120596 119903) 997891997888rarr 119885119903119904(120596 119885
119904119905 (120596 119909)) isin L1199011
for any 119903 le 119904 le 119905 le 119879(64)
Since this proof needs several lemmas we defer it toSection 52
Theorem 27 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 2 such that 120572119901 gt 1 Forfixed 119879 there exists a bijection between the space of solutionsof (B) on [0 119879] and the set of solutions of (C)
Proof Set
119885119903119879 ( 119909) = 119884119879minus119903119879 (Θ
minus1
119879() 119909) (65)
or equivalently
119884119903119879 (120596 119909) = 119885119879minus119903119879 (Θ119879 (120596) 119909) (66)
According to Theorem 21 119884 satisfies (B) if and only if 119885satisfies (C) The regularity properties are immediate sinceL119901 is stable by 120591
119879
The first part of the next result is then immediate
Corollary 28 Assume that 119879is an 1198640-causal map contin-
uous from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 2 such that120572119901 gt 1 Then (B) has one and only one solution and for any0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (67)
Proof According toTheorems 27 and 26 (B) has at most onesolution since (C) has a unique solution As to the existencepoints from (1) to (3) are immediately deduced from thecorresponding properties of 119885 and (66)
According to Theorem 26 (120596 119903) 997891rarr 119884119903119904(120596 119884
119904119905(120596 119909))
belongs to L1199011 hence we can apply the substitution formula
and119884119903119904(120596 119884
119904119905 (120596 119909))
= 119884119904119905 (120596 119909) minus int
119904
119903
120590 (119884120591119904 (120596 119909)) ∘ d119882
119881(120591)
10038161003816100381610038161003816100381610038161003816119909=119884119904119905(120596119909)
= 119909 minus int
119905
119904
120590 (119884120591119905 (120596 119909) ∘ d119882
119881(120591)
minus int
119904
119903
120590 (119884120591119904(120596 119884
119904119905 (120596 119909)) ) ∘ d119882119881(120591)
(68)
Set
119877120591119905=
119884120591119905 (120596 119909) for 119904 le 120591 le 119905119884120591119904(120596 119884
119904119905 (120596 119909)) for 119903 le 120591 le 119904(69)
Then in view of (68) 119877 appears to be the unique solution (B)and thus 119877
119904119905(120596 119909) = 119884
119904119905(120596 119909) Point (4) is thus proved
Corollary 29 For 119909 fixed the random field (119884119903119905(119909) 0 le 119903 le
119905 le 119879) admits a continuous version Moreover
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(70)
We still denote by 119884 this continuous version
Proof Without loss of generality assume that 119904 le 1199041015840 and
remark that 1198841199041199041015840(119909)
thus belongs to 120590119879119906 119906 ge 119904
E [1003816100381610038161003816119884119903119904(119909) minus 11988411990310158401199041015840(119909)1003816100381610038161003816
119901]
le 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 1199041015840 (119909)1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119885119904minus119903119904 (119909) minus 119885119904minus1199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
(71)
According toTheorem 37
E [1003816100381610038161003816119885119904minus119903119904(119909) minus 119885119904minus1199031015840 119904(119909)1003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(1 + |119909|119901) (72)
In view of Theorem 21 the stochastic integral which appearsin (C) is also a Stratonovitch integral hence we can apply thesubstitution formula and say
119885119904minus1199031015840119904(119884
1199041199041015840 (119909)) = 119885119904minus1199031015840 119904(119910)
1003816100381610038161003816119910=1198841199041199041015840 (119909) (73)
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
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OptimizationJournal of
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CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
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Operations ResearchAdvances in
Journal of
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Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
6 International Journal of Stochastic Analysis
We have to show that
119890119903120591119879119881lowast
119879120591119879119890119903= 119890
119903120591119879119881lowast
119879120591119879or equivalently (38)
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903 (39)
since 119890lowast119903= 119890
119903and 120591lowast
119879= 120591
119879 Now (37) yields
119890119903120591119879119881120591
119879119890119903= 120591
119879119881120591
119879119890119903minus 119890
119879minus119903119881120591
119879119890119903 (40)
Use (37) again to obtain
119890119879minus119903119881120591
119879119890119903= 119890
119879minus119903119881 (Id minus 119890
119879minus119903) 120591
119879
= (119890119879minus119903119881 minus 119890
119879minus119903119881119890
119879minus119903) 120591
119879= 0
(41)
since 119881 is 119864-causal
32 Stratonovitch Integrals In what follows 120578 belongs to(0 1] and 119881 is a linear operator For any 119901 ge 2 we set thefollowing
Hypothesis 1 (119901 120578) The linear map 119881 is continuous fromL119901
([0 119879]R119899) into the Banach space Hol(120578)
Definition 16 Assume that Hypothesis 1 (119901 120578) holds TheVolterra process associated to 119881 denoted by119882119881 is definedby
119882119881(119905) = 120575
W(119881 (1
[0119905])) forall 119905 isin [0 119879] (42)
For any subdivision 120587 of [0 119879] that is 120587 = 0 = 1199050lt
1199051lt sdot sdot sdot lt 119905
119899= 119879 of mesh |120587| we consider the Stratonovitch
sums
119877120587(119905 119906) = 120575
W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881119906 (119903) d119903 1[119905119894119905119894+1))
+ sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119906) (119904) d119904 d119903
(43)
Definition 17 We say that 119906 is 119881-Stratonovitch integrable on[0 119905]whenever the family 119877120587(119905 119906) defined in (43) convergesin probability as |120587| goes to 0 In this case the limit will bedenoted by int119905
0119906(119904) ∘ d119882119881
(119904)
Example 18 Thefirst example is the so-called Levy fractionalBrownian motion of Hurst index119867 gt 12 defined as
1
Γ (119867 + 12)int
119905
0
(119905 minus 119904)119867minus12d119861
119904= 120575 (119868
119867minus12
119879minus (1
[0119905])) (44)
This amounts to say that 119881 = 119868119867minus12
119879minus
ThusHypothesis 1 (119901119867 minus 12 minus 1119901) holds provided that119901(119867 minus 12) gt 1
Example 19 The other classical example is the fractionalBrownian motion with stationary increments of Hurst index119867 gt 12 which can be written as
int
119905
0
119870119867 (119905 119904) d119861 (119904) (45)
where
119870119867 (119905 119903)
=(119905 minus 119903)
119867minus(12)
Γ (119867 + (12))119865 (
1
2minus 119867119867 minus
1
2119867 +
1
2 1 minus
119905
119903)
times 1[0119905) (119903)
(46)
The Gauss hypergeometric function 119865(120572 120573 120574 119911) (see [41]) isthe analytic continuation on C times C times C minus1 minus2 times 119911 isin
C Arg|1 minus 119911| lt 120587 of the power series
+infin
sum
119896=0
(120572)119896(120573)119896
(120574)119896119896119911119896
(119886)0 = 1
(119886)119896 =Γ (119886 + 119896)
Γ (119886)= 119886 (119886 + 1) sdot sdot sdot (119886 + 119896 minus 1)
(47)
We know from [36] that 119870119867
is an isomorphism from L119901
([0 1]) ontoI+
119867+12119901and
119870119867119891 = 119868
1
0+119909
119867minus12119868119867minus12
0+ 119909
12minus119867119891 (48)
Consider thatK119867= 119868
minus1
0+ ∘ 119870119867 Then it is clear that
int
119905
0
119870119867 (119905 119904) d119861 (119904) = int
119905
0
(K119867)lowast
119879(1[0119905]) (119904) d119861 (119904) (49)
hence we are in the framework of Definition 17 provided thatwe take 119881 = (K
119867)lowast
119879 Hypothesis 1 (119901119867 minus 12 minus 1119901) is
satisfied provided that 119901(119867 minus 12) gt 1
The next theorem then follows from [26]
Theorem 20 Assume that Hypothesis 1 (119901 120578) holds Assumethat 119906 belongs toL
1199011Then 119906 is119881-Stratonovitch integrable and
there exists a process which we denote by 119863W119906 such that 119863W
119906
belongs to 119871119901(P otimes 119889119904) and
int
119879
0
119906 (119904) ∘ dWV(s) = 120575W (Vu) + int
T
0DWu (s) ds (50)
The so-called ldquotrace-termrdquo satisfies the following estimate
E [int119879
0
10038161003816100381610038161003816119863
W119906(119903)
10038161003816100381610038161003816
119901
dr] le 119888 119879119901120578119906119901L1199011
(51)
for some universal constant 119888 Moreover for any 119903 le 119879 119890119903119906 is
119881-Stratonovitch integrable and
int
119903
0
119906 (119904) ∘ dWV(s)
= int
119879
0
(119890119903119906) (119904) ∘ dWV
(s)
= 120575W(119881119890
119903119906) + int
119903
0
119863W119906 (119904) ds
(52)
International Journal of Stochastic Analysis 7
and we have the maximal inequality
E[10038171003817100381710038171003817100381710038171003817
int
0
119906(119904) ∘ dWV(s)10038171003817100381710038171003817100381710038171003817
119901
Hol (120578)] le 119888 119906
119901
L1199011
(53)
where 119888 does not depend on 119906
The main result of this Section is the following theoremwhich states that the time reversal of a Stratonovitch integralis an adapted integral with respect to the time-reversedBrownian motion Due to its length its proof is postponedto Section 51
Theorem 21 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011and let
119879= 120591
119905119881120591
119879 Assume furthermore that
119881 is 0-causal and that = 119906 ∘ Θminus1
119879isF
0-adapted Then
int
119879minus119903
119879minus119905
120591119879119906 (119904) ∘ dWV
(s)
= int
119905
119903
119879(1[119903119905]) (119904) dBT
(s) 0 le r le t le T(54)
where the last integral is an Ito integral with respect to the timereversed Brownianmotion 119879(119904) = 119861(119879)minus119861(119879minus119904) = Θ
119879(119861)(119904)
Remark 22 Note that at a formal level we could have an easyproof of this theorem For instance consider the Levy fBmand a simple computation shows that
119879= 119868
119867minus12
0+
for any119879 Thus we are led to compute trace(119868119867minus12
0+
nabla119906) If we hadsufficient regularity we could write
trace (119868119867minus120+ nabla119906) = int
119879
0
int
119904
0
(119904 minus 119903)119867minus32
nabla119904119906 (119903) d119903 d119904 = 0
(55)
since nabla119904119906(119903) = 0 for 119904 gt 119903 for 119906 adapted Obviously there are
many flaws in these lines of proof The operator 119868119867minus120+
nabla119906 isnot regular enough for such an expression of the trace to betrue Even more there is absolutely no reason for
119879nabla119906 to be
a kernel operator so we cannot hope such a formula Theseare the reasons that we need to work with operators and notwith kernels
4 Volterra-Driven SDEs
LetG be the group of homeomorphisms ofR119899 equipped withthe distance We introduce a distance 119889 onG by
119889 (120593 120601) = 120588 (120593 120601) + 120588 (120593minus1 120601
minus1) (56)
where
120588 (120593 120601) =
infin
sum
119873=1
2minus119873
sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
1 + sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
sdot (57)
Then G is a complete topological group Consider theequations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (A)
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (B)
As a solution of (A) is to be constructed by ldquoinvertingrdquoa solution of (B) we need to add to the definition of asolution of (A) or (B) the requirement of being a flowof homeomorphisms This is the meaning of the followingdefinition
Definition 23 By a solution of (A) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119883119903119905 (120596 119909))
(58)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119883119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905-measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119905) 997891rarr 119883
119903119905(120596 119909) and (120596 119905) 997891rarr 119883
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119883119903119905 (120596 119909) = 119883119904119905
(120596119883119903119904 (120596 119909)) (59)
(4) Equation (A) is satisfied for any 0 le 119903 le 119905 le 119879 P-as
Definition 24 By a solution of (B) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119884119903119905 (120596 119909))
(60)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119884119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119884
119903119905(120596 119909) and (120596 119903) 997891rarr 119884
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (B) is satisfied for any 0 le 119903 le 119905 le 119879 P-as(4) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (61)
At last consider the equation for any 0 le 119903 le 119905 le 119879
119885119903119905= 119909 minus int
119905
119903
119879(120590 ∘ 119885
1199051[119903119905]) (119904) d119879 (119904) (C)
where 119861 is a standard 119899-dimensional Brownian motion
8 International Journal of Stochastic Analysis
Definition 25 By a solution of (C) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119885119903119905 (120596 119909))
(62)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119885119903119905(120596 119909) is
120590119879(119904) 119904 le 119903 le 119905measurable
(2) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119885
119903119905(120596 119909) and (120596 119903) 997891rarr 119885
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (C) is satisfied for any 0 le 119903 le 119905 le 119879P-as
Theorem 26 Assume that 119879is an 1198640 causal map continuous
from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1Assume that 120590 is Lipschitz continuous and sublinear see (96)for the definition Then there exists a unique solution to (C)Let 119885 denote this solution For any (119903 1199031015840)
E [1003816100381610038161003816119885119903119879 minus 1198851199031015840 1198791003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(63)
Moreover
(120596 119903) 997891997888rarr 119885119903119904(120596 119885
119904119905 (120596 119909)) isin L1199011
for any 119903 le 119904 le 119905 le 119879(64)
Since this proof needs several lemmas we defer it toSection 52
Theorem 27 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 2 such that 120572119901 gt 1 Forfixed 119879 there exists a bijection between the space of solutionsof (B) on [0 119879] and the set of solutions of (C)
Proof Set
119885119903119879 ( 119909) = 119884119879minus119903119879 (Θ
minus1
119879() 119909) (65)
or equivalently
119884119903119879 (120596 119909) = 119885119879minus119903119879 (Θ119879 (120596) 119909) (66)
According to Theorem 21 119884 satisfies (B) if and only if 119885satisfies (C) The regularity properties are immediate sinceL119901 is stable by 120591
119879
The first part of the next result is then immediate
Corollary 28 Assume that 119879is an 1198640-causal map contin-
uous from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 2 such that120572119901 gt 1 Then (B) has one and only one solution and for any0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (67)
Proof According toTheorems 27 and 26 (B) has at most onesolution since (C) has a unique solution As to the existencepoints from (1) to (3) are immediately deduced from thecorresponding properties of 119885 and (66)
According to Theorem 26 (120596 119903) 997891rarr 119884119903119904(120596 119884
119904119905(120596 119909))
belongs to L1199011 hence we can apply the substitution formula
and119884119903119904(120596 119884
119904119905 (120596 119909))
= 119884119904119905 (120596 119909) minus int
119904
119903
120590 (119884120591119904 (120596 119909)) ∘ d119882
119881(120591)
10038161003816100381610038161003816100381610038161003816119909=119884119904119905(120596119909)
= 119909 minus int
119905
119904
120590 (119884120591119905 (120596 119909) ∘ d119882
119881(120591)
minus int
119904
119903
120590 (119884120591119904(120596 119884
119904119905 (120596 119909)) ) ∘ d119882119881(120591)
(68)
Set
119877120591119905=
119884120591119905 (120596 119909) for 119904 le 120591 le 119905119884120591119904(120596 119884
119904119905 (120596 119909)) for 119903 le 120591 le 119904(69)
Then in view of (68) 119877 appears to be the unique solution (B)and thus 119877
119904119905(120596 119909) = 119884
119904119905(120596 119909) Point (4) is thus proved
Corollary 29 For 119909 fixed the random field (119884119903119905(119909) 0 le 119903 le
119905 le 119879) admits a continuous version Moreover
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(70)
We still denote by 119884 this continuous version
Proof Without loss of generality assume that 119904 le 1199041015840 and
remark that 1198841199041199041015840(119909)
thus belongs to 120590119879119906 119906 ge 119904
E [1003816100381610038161003816119884119903119904(119909) minus 11988411990310158401199041015840(119909)1003816100381610038161003816
119901]
le 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 1199041015840 (119909)1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119885119904minus119903119904 (119909) minus 119885119904minus1199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
(71)
According toTheorem 37
E [1003816100381610038161003816119885119904minus119903119904(119909) minus 119885119904minus1199031015840 119904(119909)1003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(1 + |119909|119901) (72)
In view of Theorem 21 the stochastic integral which appearsin (C) is also a Stratonovitch integral hence we can apply thesubstitution formula and say
119885119904minus1199031015840119904(119884
1199041199041015840 (119909)) = 119885119904minus1199031015840 119904(119910)
1003816100381610038161003816119910=1198841199041199041015840 (119909) (73)
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
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Operations ResearchAdvances in
Journal of
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Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
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The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
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Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
International Journal of Stochastic Analysis 7
and we have the maximal inequality
E[10038171003817100381710038171003817100381710038171003817
int
0
119906(119904) ∘ dWV(s)10038171003817100381710038171003817100381710038171003817
119901
Hol (120578)] le 119888 119906
119901
L1199011
(53)
where 119888 does not depend on 119906
The main result of this Section is the following theoremwhich states that the time reversal of a Stratonovitch integralis an adapted integral with respect to the time-reversedBrownian motion Due to its length its proof is postponedto Section 51
Theorem 21 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011and let
119879= 120591
119905119881120591
119879 Assume furthermore that
119881 is 0-causal and that = 119906 ∘ Θminus1
119879isF
0-adapted Then
int
119879minus119903
119879minus119905
120591119879119906 (119904) ∘ dWV
(s)
= int
119905
119903
119879(1[119903119905]) (119904) dBT
(s) 0 le r le t le T(54)
where the last integral is an Ito integral with respect to the timereversed Brownianmotion 119879(119904) = 119861(119879)minus119861(119879minus119904) = Θ
119879(119861)(119904)
Remark 22 Note that at a formal level we could have an easyproof of this theorem For instance consider the Levy fBmand a simple computation shows that
119879= 119868
119867minus12
0+
for any119879 Thus we are led to compute trace(119868119867minus12
0+
nabla119906) If we hadsufficient regularity we could write
trace (119868119867minus120+ nabla119906) = int
119879
0
int
119904
0
(119904 minus 119903)119867minus32
nabla119904119906 (119903) d119903 d119904 = 0
(55)
since nabla119904119906(119903) = 0 for 119904 gt 119903 for 119906 adapted Obviously there are
many flaws in these lines of proof The operator 119868119867minus120+
nabla119906 isnot regular enough for such an expression of the trace to betrue Even more there is absolutely no reason for
119879nabla119906 to be
a kernel operator so we cannot hope such a formula Theseare the reasons that we need to work with operators and notwith kernels
4 Volterra-Driven SDEs
LetG be the group of homeomorphisms ofR119899 equipped withthe distance We introduce a distance 119889 onG by
119889 (120593 120601) = 120588 (120593 120601) + 120588 (120593minus1 120601
minus1) (56)
where
120588 (120593 120601) =
infin
sum
119873=1
2minus119873
sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
1 + sup|119909|le119873
1003816100381610038161003816120593 (119909) minus 120601 (119909)1003816100381610038161003816
sdot (57)
Then G is a complete topological group Consider theequations
119883119903119905= 119909 + int
119905
119903
120590 (119883119903119904) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (A)
119884119903119905= 119909 minus int
119905
119903
120590 (119884119904119905) ∘ d119882119881
(119904) 0 le 119903 le 119905 le 119879 (B)
As a solution of (A) is to be constructed by ldquoinvertingrdquoa solution of (B) we need to add to the definition of asolution of (A) or (B) the requirement of being a flowof homeomorphisms This is the meaning of the followingdefinition
Definition 23 By a solution of (A) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119883119903119905 (120596 119909))
(58)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119883119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905-measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119905) 997891rarr 119883
119903119905(120596 119909) and (120596 119905) 997891rarr 119883
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119883119903119905 (120596 119909) = 119883119904119905
(120596119883119903119904 (120596 119909)) (59)
(4) Equation (A) is satisfied for any 0 le 119903 le 119905 le 119879 P-as
Definition 24 By a solution of (B) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119884119903119905 (120596 119909))
(60)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119884119903119905(120596 119909) is
120590119882119881(119904) 119903 le 119904 le 119905measurable
(2) For any 0 le 119903 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119884
119903119905(120596 119909) and (120596 119903) 997891rarr 119884
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (B) is satisfied for any 0 le 119903 le 119905 le 119879 P-as(4) For any 0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following
identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (61)
At last consider the equation for any 0 le 119903 le 119905 le 119879
119885119903119905= 119909 minus int
119905
119903
119879(120590 ∘ 119885
1199051[119903119905]) (119904) d119879 (119904) (C)
where 119861 is a standard 119899-dimensional Brownian motion
8 International Journal of Stochastic Analysis
Definition 25 By a solution of (C) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119885119903119905 (120596 119909))
(62)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119885119903119905(120596 119909) is
120590119879(119904) 119904 le 119903 le 119905measurable
(2) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119885
119903119905(120596 119909) and (120596 119903) 997891rarr 119885
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (C) is satisfied for any 0 le 119903 le 119905 le 119879P-as
Theorem 26 Assume that 119879is an 1198640 causal map continuous
from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1Assume that 120590 is Lipschitz continuous and sublinear see (96)for the definition Then there exists a unique solution to (C)Let 119885 denote this solution For any (119903 1199031015840)
E [1003816100381610038161003816119885119903119879 minus 1198851199031015840 1198791003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(63)
Moreover
(120596 119903) 997891997888rarr 119885119903119904(120596 119885
119904119905 (120596 119909)) isin L1199011
for any 119903 le 119904 le 119905 le 119879(64)
Since this proof needs several lemmas we defer it toSection 52
Theorem 27 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 2 such that 120572119901 gt 1 Forfixed 119879 there exists a bijection between the space of solutionsof (B) on [0 119879] and the set of solutions of (C)
Proof Set
119885119903119879 ( 119909) = 119884119879minus119903119879 (Θ
minus1
119879() 119909) (65)
or equivalently
119884119903119879 (120596 119909) = 119885119879minus119903119879 (Θ119879 (120596) 119909) (66)
According to Theorem 21 119884 satisfies (B) if and only if 119885satisfies (C) The regularity properties are immediate sinceL119901 is stable by 120591
119879
The first part of the next result is then immediate
Corollary 28 Assume that 119879is an 1198640-causal map contin-
uous from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 2 such that120572119901 gt 1 Then (B) has one and only one solution and for any0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (67)
Proof According toTheorems 27 and 26 (B) has at most onesolution since (C) has a unique solution As to the existencepoints from (1) to (3) are immediately deduced from thecorresponding properties of 119885 and (66)
According to Theorem 26 (120596 119903) 997891rarr 119884119903119904(120596 119884
119904119905(120596 119909))
belongs to L1199011 hence we can apply the substitution formula
and119884119903119904(120596 119884
119904119905 (120596 119909))
= 119884119904119905 (120596 119909) minus int
119904
119903
120590 (119884120591119904 (120596 119909)) ∘ d119882
119881(120591)
10038161003816100381610038161003816100381610038161003816119909=119884119904119905(120596119909)
= 119909 minus int
119905
119904
120590 (119884120591119905 (120596 119909) ∘ d119882
119881(120591)
minus int
119904
119903
120590 (119884120591119904(120596 119884
119904119905 (120596 119909)) ) ∘ d119882119881(120591)
(68)
Set
119877120591119905=
119884120591119905 (120596 119909) for 119904 le 120591 le 119905119884120591119904(120596 119884
119904119905 (120596 119909)) for 119903 le 120591 le 119904(69)
Then in view of (68) 119877 appears to be the unique solution (B)and thus 119877
119904119905(120596 119909) = 119884
119904119905(120596 119909) Point (4) is thus proved
Corollary 29 For 119909 fixed the random field (119884119903119905(119909) 0 le 119903 le
119905 le 119879) admits a continuous version Moreover
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(70)
We still denote by 119884 this continuous version
Proof Without loss of generality assume that 119904 le 1199041015840 and
remark that 1198841199041199041015840(119909)
thus belongs to 120590119879119906 119906 ge 119904
E [1003816100381610038161003816119884119903119904(119909) minus 11988411990310158401199041015840(119909)1003816100381610038161003816
119901]
le 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 1199041015840 (119909)1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119885119904minus119903119904 (119909) minus 119885119904minus1199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
(71)
According toTheorem 37
E [1003816100381610038161003816119885119904minus119903119904(119909) minus 119885119904minus1199031015840 119904(119909)1003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(1 + |119909|119901) (72)
In view of Theorem 21 the stochastic integral which appearsin (C) is also a Stratonovitch integral hence we can apply thesubstitution formula and say
119885119904minus1199031015840119904(119884
1199041199041015840 (119909)) = 119885119904minus1199031015840 119904(119910)
1003816100381610038161003816119910=1198841199041199041015840 (119909) (73)
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
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Journal of
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Mathematical PhysicsAdvances in
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OptimizationJournal of
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CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
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Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
8 International Journal of Stochastic Analysis
Definition 25 By a solution of (C) we mean a measurablemap
Ω times [0 119879] times [0 119879] 997888rarr G
(120596 119903 119905) 997891997888rarr (119909 997891997888rarr 119885119903119905 (120596 119909))
(62)
such that the following properties are satisfied
(1) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 119885119903119905(120596 119909) is
120590119879(119904) 119904 le 119903 le 119905measurable
(2) For any 0 le 119903 le 119905 le 119879 for any 119909 isin R119899 the processes(120596 119903) 997891rarr 119885
119903119905(120596 119909) and (120596 119903) 997891rarr 119885
minus1
119903119905(120596 119909) belong to
L1199011
for some 119901 ge 2(3) Equation (C) is satisfied for any 0 le 119903 le 119905 le 119879P-as
Theorem 26 Assume that 119879is an 1198640 causal map continuous
from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1Assume that 120590 is Lipschitz continuous and sublinear see (96)for the definition Then there exists a unique solution to (C)Let 119885 denote this solution For any (119903 1199031015840)
E [1003816100381610038161003816119885119903119879 minus 1198851199031015840 1198791003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(63)
Moreover
(120596 119903) 997891997888rarr 119885119903119904(120596 119885
119904119905 (120596 119909)) isin L1199011
for any 119903 le 119904 le 119905 le 119879(64)
Since this proof needs several lemmas we defer it toSection 52
Theorem 27 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 2 such that 120572119901 gt 1 Forfixed 119879 there exists a bijection between the space of solutionsof (B) on [0 119879] and the set of solutions of (C)
Proof Set
119885119903119879 ( 119909) = 119884119879minus119903119879 (Θ
minus1
119879() 119909) (65)
or equivalently
119884119903119879 (120596 119909) = 119885119879minus119903119879 (Θ119879 (120596) 119909) (66)
According to Theorem 21 119884 satisfies (B) if and only if 119885satisfies (C) The regularity properties are immediate sinceL119901 is stable by 120591
119879
The first part of the next result is then immediate
Corollary 28 Assume that 119879is an 1198640-causal map contin-
uous from L119901 into I120572119901
for 120572 gt 0 and 119901 ge 2 such that120572119901 gt 1 Then (B) has one and only one solution and for any0 le 119903 le 119904 le 119905 for any 119909 isin R119899 the following identity is satisfied
119884119903119905 (120596 119909) = 119884119903119904 (120596 119884119904119905 (120596 119909)) (67)
Proof According toTheorems 27 and 26 (B) has at most onesolution since (C) has a unique solution As to the existencepoints from (1) to (3) are immediately deduced from thecorresponding properties of 119885 and (66)
According to Theorem 26 (120596 119903) 997891rarr 119884119903119904(120596 119884
119904119905(120596 119909))
belongs to L1199011 hence we can apply the substitution formula
and119884119903119904(120596 119884
119904119905 (120596 119909))
= 119884119904119905 (120596 119909) minus int
119904
119903
120590 (119884120591119904 (120596 119909)) ∘ d119882
119881(120591)
10038161003816100381610038161003816100381610038161003816119909=119884119904119905(120596119909)
= 119909 minus int
119905
119904
120590 (119884120591119905 (120596 119909) ∘ d119882
119881(120591)
minus int
119904
119903
120590 (119884120591119904(120596 119884
119904119905 (120596 119909)) ) ∘ d119882119881(120591)
(68)
Set
119877120591119905=
119884120591119905 (120596 119909) for 119904 le 120591 le 119905119884120591119904(120596 119884
119904119905 (120596 119909)) for 119903 le 120591 le 119904(69)
Then in view of (68) 119877 appears to be the unique solution (B)and thus 119877
119904119905(120596 119909) = 119884
119904119905(120596 119909) Point (4) is thus proved
Corollary 29 For 119909 fixed the random field (119884119903119905(119909) 0 le 119903 le
119905 le 119879) admits a continuous version Moreover
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(70)
We still denote by 119884 this continuous version
Proof Without loss of generality assume that 119904 le 1199041015840 and
remark that 1198841199041199041015840(119909)
thus belongs to 120590119879119906 119906 ge 119904
E [1003816100381610038161003816119884119903119904(119909) minus 11988411990310158401199041015840(119909)1003816100381610038161003816
119901]
le 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 1199041015840 (119909)1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119884119903119904 (119909) minus 1198841199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [10038161003816100381610038161198841199031015840 119904 (119909) minus 1198841199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
= 119888 (E [1003816100381610038161003816119885119904minus119903119904 (119909) minus 119885119904minus1199031015840 119904 (119909)1003816100381610038161003816
119901]
+E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901])
(71)
According toTheorem 37
E [1003816100381610038161003816119885119904minus119903119904(119909) minus 119885119904minus1199031015840 119904(119909)1003816100381610038161003816
119901] le 119888
10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
(1 + |119909|119901) (72)
In view of Theorem 21 the stochastic integral which appearsin (C) is also a Stratonovitch integral hence we can apply thesubstitution formula and say
119885119904minus1199031015840119904(119884
1199041199041015840 (119909)) = 119885119904minus1199031015840 119904(119910)
1003816100381610038161003816119910=1198841199041199041015840 (119909) (73)
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
International Journal of Stochastic Analysis 9
Thus we can apply Theorem 37 and obtain that
E [1003816100381610038161003816119885119904minus1199031015840 119904(119909) minus 119885119904minus1199031015840 119904(1198841199041199041015840(119909))1003816100381610038161003816
119901]
le 119888E [1003816100381610038161003816119909 minus 1198841199041199041015840 (119909)1003816100381610038161003816
119901]
(74)
The right hand side of this equation is in turn equal toE[|119885
01199041015840 minus 119885
1199041015840minus1199041199041015840(119909)|
119901] thus we get
E [1003816100381610038161003816119885119904minus1199031015840 119904 (119909) minus 119885119904minus1199031015840 119904 (1198841199041199041015840 (119909))1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901)100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
(75)
Combining (72) and (75) gives
E [1003816100381610038161003816119884119903119904(119909) minus 1198841199031015840 1199041015840(119909)1003816100381610038161003816
119901]
le 119888 (1 + |119909|119901) (100381610038161003816100381610038161199041015840minus 11990410038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
)
(76)
hence the result comes
Thus we have the main result of this paper
Theorem 30 Assume that 119879is an 1198640-causal map continuous
fromL119901 intoI120572119901
for 120572 gt 0 and 119901 ge 4 such that 120572119901 gt 1 Then(A) has one and only one solution
Proof Under the hypothesis we know that (B) has a uniquesolution which satisfies (67) By definition a solution of (B)the process 119884minus1 (120596 119904) 997891rarr 119884
minus1
119904119905(120596 119909) belongs to L
1199011 hence
we can apply the substitution formula Following the lines ofproof of the previous theorem we see that119884minus1 is a solution of(A)
In the reverse direction two distinct solutions of (A)would give rise to two solutions of (B) by the same principlesSince this is definitely impossible in view of Corollary 28 (A)has at most one solution
5 Technical Proofs
51 Substitution Formula The proof of Theorem 21 relies onseveral lemmas including one known in anticipative calculusas the substitution formula compare [38]
Theorem 31 Assume that Hypothesis 1 (119901 120578) holds Let 119906belong to L
1199011 If 119881nablaW
119906 is of trace class then
int
119879
0
119863W119906 (119904) ds = trace (VnablaWu) (77)
Moreover
E [10038161003816100381610038161003816 trace(119881nablaW119906)10038161003816100381610038161003816
119901
] le 119888119906119901
L1199011
(78)
Proof For each 119896 let (120601119896119898 119898 = 1 2
119896) be the functions
120601119896119898
= 211989621
[(119898minus1)2minus1198961198982minus119896) Let 119875
119896be the projection onto the
span of the 120601119896119898
since nablaW119881119906 is of trace class we have (see
[42])
trace (119881nablaW119901119905119906) = lim
119896rarr+infin
trace (119875119896119881nabla
W119901119905119906 119875
119896) (79)
Now
trace (119875119896119881nabla
W119906 119875
119896)
=
119896
sum
119898=1
(119881nablaW119901119905119906 120601
119896119898otimes 120601
119896119898)L2otimesL2
=
119896
sum
119898=1
2119896int
1198982minus119896and119905
(119898minus1)2minus119896and119905
int
1198982minus119896and119905
(119898minus1)2minus119896and119905
119881(nablaW119903119906) (119904) d119904 d119903
(80)
According to the proof of Theorem 20 the first part of thetheorem follows The second part is then a rewriting of (51)
For 119901 ge 1 let Γ119901be the set of random fields
119906 R119898 997888rarr L1199011
119909 997891997888rarr ((120596 119904) 997891997888rarr 119906 (120596 119904 119909))
(81)
equipped with the seminorms
119901119870 (119906) = sup
119909isin119870
119906(119909)L1199011 (82)
for any compact119870 of R119898
Corollary 32 (substitution formula) Assume that Hypothesis1 (119901 120578) holds Let 119906(119909) 119909 isin R119898 belong to Γ
119901 Let 119865 be a
random variable such that ((120596 119904) 997891rarr 119906(120596 119904 119865)) belongs toL1199011
Then
int
119879
0
119906 (119904 119865) ∘ d119882119881(119904) = int
119879
0
119906(119904 119909) ∘ d119882119881
119904
100381610038161003816100381610038161003816100381610038161003816119909=119865
(83)
Proof Simple random fields of the form
119906 (120596 119904 119909) =
119870
sum
119897=1
119867119897 (119909) 119906119897 (120596 119904) (84)
with119867119897smooth and 119906
119897in L
1199011are dense in Γ
119901 In view of (53)
it is sufficient to prove the result for such random fields Bylinearity we can reduce the proof to randomfields of the form119867(119909)119906(120596 119904) Now for any partition 120587
120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119867(119865)119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
= 119867 (119865) 120575W(sum
119905119894isin120587
1
120579119894
int
119905119894+1and119905
119905119894and119905
119881 (119906 (120596 )) (119903) d119903 1[119905119894119905119894+1))
minus sum
119905119894isin120587
int
119905119894+1and119905
119905119894and119905
int
119905119894+1and119905
119905119894and119905
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(85)
On the other hand
nablaW119904(119867 (119865) 119906 (120596 119903)) = 119867
1015840(119865) nabla
W119904119865 119906 (119903) (86)
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
10 International Journal of Stochastic Analysis
Hence
sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
119881(nablaW119903119867(119865) 119906) (119904) d119904 d119903
= sum
119905119894isin120587
1
120579119894
∬[119905119894and119905119905119894+1and119905]2
1198671015840(119865) nabla
W119904119865 119881119906 (119903) d119904 d119903
(87)
According toTheorem 20 (83) is satisfied for simple randomfields
Definition 33 For any 0 le 119903 le 119905 le 119879 for 119906 in L1199011 we define
int119905
119903119906(119904) ∘ d119882119881
(119904) as
int
119905
119903
119906 (119904) ∘ d119882119881(119904)
= int
119905
0
119906 (119904) ∘ d119882119881(119904) minus int
119903
0
119906 (119904) ∘ d119882119881(119904)
= int
119879
0
119890119905119906 (119904) d119882119881
(119904) minus int
119879
0
119890119903119906 (119904) ∘ d119882119881
(119904)
= 120575W(119881 (119890
119905minus 119890
119903) 119906) + int
119905
119903
119863W119906 (119904) d119904
(88)
By the very definition of trace class operators the nextlemma is straightforward
Lemma 34 Let 119860 and 119861 be two continuous maps fromL2([0 119879] R119899) into itselfThen themap 120591
119879119860otimes119861 (resp119860120591
119879otimes119861)
is of trace class if and only if the map 119860 otimes 120591119879119861 (resp 119860 otimes 119861120591
119879)
is of trace class Moreover in such a situation
trace (120591119879119860 otimes 119861)
= trace (119860 otimes 120591119879119861) resp trace (119860120591
119879otimes 119861)
= trace (119860 otimes 119861120591119879)
(89)
Thenext corollary follows by a classical density argument
Corollary 35 Let119906 isin L21
such thatnablaWotimes120591
119879119881119906 andnablaW
otimes119881120591119879119906
are of trace class Then 120591119879nablaWotimes119881119906 and nablaW
120591119879otimes119881119906 are of trace
class Moreover we have
trace (nablaWotimes 120591
119879119881119906) = trace (120591
119879nablaWotimes 119881119906)
trace (nablaWotimes (119881120591
119879) 119906) = trace (nablaW
120591119879otimes 119881119906)
(90)
Proof of Theorem 21 We first study the divergence term Inview of Theorem 3 we have
120575119861(119881 (119890
119879minus119903minus 119890
119879minus119905) 120591
119879 ∘ Θ
119879)
= 120575119861(119881120591
119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575119861(120591119879119879(119890119905minus 119890
119903) ∘ Θ
119879)
= 120575 (119879(119890119905minus 119890
119903) ) ()
= int
119905
119903
119879(1[119903119905]) (119904) d119861119879 (119904)
(91)
According to Lemma 15 (119879)lowast is
0causal and according to
Lemma 9 it is strictly 0causal Thus Theorem 14 implies
that nabla119881(119890119905minus 119890
119903) is of trace class and quasinilpotent Hence
Corollary 35 induces that
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903) (92)
is trace class and quasinilpotent Now according toTheorem 2 we have
120591119879119879120591119879otimes 120591
119879nabla120591
119879(119890119905minus 119890
119903)
= 119881 (nabla120591119879(119890119879minus119903
minus 119890119879minus119905) ∘ Θ
119879)
(93)
According toTheorem 20 we have proved (54)
52 The Forward Equation
Lemma 36 Assume that Hypothesis 1 (119901 120578) holds and that 120590is Lipschitz continuous Then for any 0 le 119886 le 119887 le 119879 the map
119879∘ 120590 119862 ([0 119879] R119899) 997888rarr 119862 ([0 119879] R119899)
120601 997891997888rarr 119879(120590 ∘ 120595 1
[119886119887])
(94)
is Lipschitz continuous and Gateaux differentiable Its differen-tial is given by
119889119879∘ 120590 (120601) [120595] =
119879(120590
1015840∘ 120601 120595) (95)
Assume furthermore that 120590 is sublinear that is
|120590 (119909)| le 119888 (1 + |119909|) for any 119909 isin R119899 (96)
Then for any 120595 isin 119862([0 119879]R119899) for any 119905 isin [0 119879]
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888119879
120578+1119901(1 + int
119905
0
1003816100381610038161003816120595 (119904)1003816100381610038161003816
119901ds)
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(97)
Proof Let 120595 and 120601 be two continuous functions since119862([0 119879]R119899) is continuously embedded inL119901 and
119879(120590 ∘120595minus
120590 ∘ 120601) belongs to Hol(120578) Moreover
sup119905le119879
10038161003816100381610038161003816119879(120590 ∘ 1205951
[119886119887]) (119905) minus 119879 (120590 ∘ 120601 1
[119886119887]) (119905)
10038161003816100381610038161003816
le 11988810038171003817100381710038171003817119879((120590 ∘ 120595 minus 120590 ∘ 120601) 1
[119886119887])10038171003817100381710038171003817Hol(120578)
le 1198881003817100381710038171003817(120590 ∘ 120595 minus 120590 ∘ 120601) 1[119886119887]
1003817100381710038171003817L119901
le 1198881003817100381710038171003817120601 minus 120595
1003817100381710038171003817L119901([119886119887])
le 119888 sup119905le119879
1003816100381610038161003816120595 (119905) minus 120601 (119905)1003816100381610038161003816
(98)
since 120590 is Lipschitz continuousLet 120601 and 120595 be two continuous functions on [0 119879] Since
120590 is Lipschitz continuous we have
120590 (120595 (119905) + 120576120601 (119905))
= 120590 (120595 (119905)) + 120576int
1
0
1205901015840(119906120595 (119905) + (1 minus 119906) 120601 (119905)) d119906
(99)
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
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Mathematical Problems in Engineering
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Differential EquationsInternational Journal of
Volume 2014
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Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
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Mathematical PhysicsAdvances in
Complex AnalysisJournal of
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OptimizationJournal of
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CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Decision SciencesAdvances in
Discrete MathematicsJournal of
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Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
International Journal of Stochastic Analysis 11
Moreover since 120590 is Lipschitz 1205901015840 is bounded and
int
119879
0
100381610038161003816100381610038161003816100381610038161003816
int
1
0
1205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906
100381610038161003816100381610038161003816100381610038161003816
119901
d119905 le 119888119879 (100)
This means that (119905 997891rarr int1
01205901015840(119906120595(119905) + (1 minus 119906)120601(119905))d119906) belongs
toL119901 Hence according to Hypothesis 1100381710038171003817100381710038171003817100381710038171003817
119879(int
1
0
1205901015840(119906120595() + (1 minus 119906)120601()) d)
100381710038171003817100381710038171003817100381710038171003817119862
le 119888119879 (101)
Thus
lim120576rarr0
120576minus1(
119879(120590 ∘ (120595 + 120576120601)) minus
119879(120590 ∘ 120595)) exists (102)
and 119879∘120590 is Gateaux differentiable and its differential is given
by (95)Since 120590∘120595 belongs to119862([0 119879]R119899) according to Hypoth-
esis 1 we have
10038161003816100381610038161003816119879(120590 ∘ 120595) (119905)
10038161003816100381610038161003816le 119888(int
119905
0
1199041205781199011003816100381610038161003816120590(120595(119904))
1003816100381610038161003816
119901d119904)1119901
le 119888119879120578(int
119905
0
(1 +1003816100381610038161003816120595(119904)
1003816100381610038161003816
119901)d119904)
1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817
119901
infin)1119901
le 119888119879120578+1119901
(1 +10038171003817100381710038171205951003817100381710038171003817infin)
(103)
The proof is thus complete
Following [43] we then have the following nontrivialresult
Theorem 37 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous Then there exists one and only onemeasurable map fromΩtimes [0 119879] times [0 119879] intoG which satisfiesthe first two points of Definition (C) Moreover
E [10038161003816100381610038161003816119885119903119905(119909) minus 1198851199031015840 119905(1199091015840)10038161003816100381610038161003816
119901
]
le 119888 (1 + |119909|119901or10038161003816100381610038161003816119909101584010038161003816100381610038161003816
119901
)
times (10038161003816100381610038161003816119903 minus 119903
101584010038161003816100381610038161003816
119901120578
+10038161003816100381610038161003816119909 minus 119909
101584010038161003816100381610038161003816
119901
)
(104)
and for any 119909 isin R119899 for any 0 le 119903 le 119905 le 119879 we have
E [1003816100381610038161003816119885119903119905(119909)1003816100381610038161003816
119901] le 119888 (1 + |119909|
119901) 119890
119888119879120578119901+1
(105)
Note even if 119909 and 1199091015840 are replaced by 120590119879(119906) 119905 le 119906
measurable random variables the last estimates still hold
Proof Existence uniqueness and homeomorphy of a solu-tion of (C) follow from [43] The regularity with respectto 119903 and 119909 is obtained as usual by BDG inequality andGronwall Lemma For 119909 or 1199091015840 random use the independenceof 120590119879(119906) 119905 le 119906 and 120590119879(119906) 119903 and 1199031015840 le 119906 le 119905
Theorem 38 Assume that Hypothesis 1 (119901 120578) holds and that120590 is Lipschitz continuous and sublinear Then for any 119909 isin R119899for any 0 le 119903 le 119904 le 119905 le 119879 (120596 119903) 997891rarr 119885
119903119904(120596 119885
119904119905(119909)) and
(120596 119903) 997891rarr 119885minus1
119903119905(120596 119909) belong to L
1199011
Proof According to ([44] Theorem 31) the differentiabilityof 120596 997891rarr 119885
119903119905(120596 119909) is ensured Furthermore
nabla119906119885119903119905= minus
119879(120590 ∘ 119885
1199051[119903119905]) (119906)
minus int
119905
119903
119879(120590
1015840(119885
119905) nabla
1199061198851199051[119903119905]) (119904) d (119904)
(106)
where 1205901015840 is the differential of 120590 For119872 gt 0 let
120585119872= inf 120591 1003816100381610038161003816nabla119906119885120591119905
1003816100381610038161003816
119901ge 119872 119885
119872
120591119905= 119885
120591or120585119872119905 (107)
Since 119879is continuous fromL119901 into itself and 120590 is Lipschitz
according to BDG inequality for 119903 le 119906
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
]
le 119888E [10038161003816100381610038161003816119879 (120590 ∘ 119885119872
1199051[119903119905]) (119906)
10038161003816100381610038161003816
119901
]
+ 119888E [int119905
119903
10038161003816100381610038161003816119879(120590
1015840(119885
119872
119905) nabla
119906119885119872
1199051[119903119905]) (119904)
10038161003816100381610038161003816
119901
d119904]
le 119888 (1 + E [int119905
119903
119906119901120578int
119906
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591 d119906]
+E [int119905
119903
119904119901120578int
119904
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591 d119904])
le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901(119905119901120578+1
minus 120591119901120578+1
) d120591]
+E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
(119905119901120578+1
minus 120591119901120578+1
) d120591])
le 119888119905119901120578+1
(1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591] + E [int119905
119903
10038161003816100381610038161003816nabla119906119885119872
120591119905
10038161003816100381610038161003816
119901
d120591])
(108)
Then Gronwall Lemma entails that
E [10038161003816100381610038161003816nabla119906119885119872
119903119905
10038161003816100381610038161003816
119901
] le 119888 (1 + E [int119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (109)
hence by Fatou lemma
E [1003816100381610038161003816nabla1199061198851199031199051003816100381610038161003816
119901] le 119888 (1 + E [int
119905
119903
10038161003816100381610038161198851205911199051003816100381610038161003816
119901d120591]) (110)
The integrability of E[|nabla119906119885119903119905|119901] with respect to 119906 follows
Now since 0 le 119903 le 119904 le 119905 le 119879 119885119904119905(119909) is independent
of 119885119903119904(119909) thus the previous computations still hold and
(120596 119903) 997891rarr 119885119903119904(120596 119885
119904119905(119909)) belongs to L
1199011
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
12 International Journal of Stochastic Analysis
According to [45] to prove that 119885minus1119903119905(119909) belongs to D
1199011
we need to prove that
(1) for every ℎ isin L2 there exists an absolutely continu-ous version of the process (119905 997891rarr 119885
minus1
119903119905(120596 + 119905ℎ 119909))
(2) there exists 119863119885minus1119903119905 an L2-valued random variable
such that for every ℎ isinL2
1
119905(119885
minus1
119903119905(120596 + 119905ℎ 119909) minus 119885
minus1
119903119905(120596 119909))
119905rarr0
997888997888997888997888rarr int
119879
0
119863119885minus1
119903119905(119904) ℎ (119904) d119904
(111)
where the convergence holds in probability(3) 119863119885minus1
119903119905belongs toL2
(ΩL2)
We first show that
E[10038161003816100381610038161003816100381610038161003816
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909))
10038161003816100381610038161003816100381610038161003816
minus119901
] is finite (112)
Since
120597119885119903119905
120597119909(120596 119909)
= Id + int119905
119903
119879(120590
1015840(119885
119905 (119909))120597119885
119905 (120596 119909)
120597119909) (119904) d (119904)
(113)
letΘ119907= sup
119906le119907|120597119909119885119906119905(119909)|The same kind of computations as
above entails that (for the sake of brevity we do not detail thelocalisation procedure as it is similar to the previous one)
E [Θ2119902
119907]
le 119888 + 119888 E[int119905
119906
Θ2(119902minus1)
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
d119904]
+ 119888 E[(int119905
119906
Θ119902minus2
119904(int
119904
119906
1003816100381610038161003816120597119909119885120591119905 (119909)1003816100381610038161003816
119901| d120591)
2119901
)
2
d119904]
(114)
Hence
E [Θ2119902
119907] le 119888 (1 + int
119905
119907
E [Θ2119902
119904] d119904) (115)
and (112) follows by Fatou and Gronwall lemmas Since119885119903119905(120596 119885
minus1
119903119905(120596 119909)) = 119909 the implicit function theorem implies
that 119885minus1119903119905(119909) satisfies the first two properties and that
nabla119885119903119905(120596 119885
minus1
119903119905(119909)) +
120597119885119903119905
120597119909(120596 119885
minus1
119903119905(119909)) nabla119885
minus1
119903119905(120596 119909) (116)
It follows by Holder inequality and (112) that10038171003817100381710038171003817119863119885
minus1
119903119905(119909))
100381710038171003817100381710038171199011le 1198881003817100381710038171003817119885119903119905(119909))
100381710038171003817100381721199011
10038171003817100381710038171003817(120597119909119885119903119905(119909))
minus1100381710038171003817100381710038172119901 (117)
hence 119885minus1119903119905
belongs to L1199011
Acknowledgment
The author would like to thank the anonymous referees fortheir thorough reviews comments and suggestions signif-icantly contributed to improve the quality of this contribu-tion
References
[1] M Zahle ldquoIntegration with respect to fractal functions andstochastic calculus Irdquo ProbabilityTheory and Related Fields vol111 no 3 pp 333ndash374 1998
[2] D Feyel and A de La Pradelle ldquoOn fractional Brownianprocessesrdquo Potential Analysis vol 10 no 3 pp 273ndash288 1999
[3] F Russo and PVallois ldquoThe generalized covariation process andIto formulardquo Stochastic Processes and their Applications vol 59no 1 pp 81ndash104 1995
[4] F Russo and P Vallois ldquoIto formula for 1198621-functions ofsemimartingalesrdquo Probability Theory and Related Fields vol104 no 1 pp 27ndash41 1996
[5] T J Lyons ldquoDifferential equations driven by rough signalsrdquoRevista Matematica Iberoamericana vol 14 no 2 pp 215ndash3101998
[6] L Coutin and Z Qian ldquoStochastic analysis rough path analysisand fractional Brownian motionsrdquo Probability Theory andRelated Fields vol 122 no 1 pp 108ndash140 2002
[7] L Coutin P Friz and N Victoir ldquoGood rough path sequencesand applications to anticipating stochastic calculusrdquoTheAnnalsof Probability vol 35 no 3 pp 1172ndash1193 2007
[8] L Decreusefond andDNualart ldquoFlow properties of differentialequations driven by fractional Brownian motionrdquo in StochasticDifferential Equations Theory and Applications vol 2 pp 249ndash262 2007
[9] P Friz and N Victoir ldquoApproximations of the Brownianrough path with applications to stochastic analysisrdquo Annales delrsquoInstitut Henri Poincare Probabilites et Statistiques vol 41 no4 pp 703ndash724 2005
[10] P Friz and N Victoir ldquoA note on the notion of geometric roughpathsrdquo Probability Theory and Related Fields vol 136 no 3 pp395ndash416 2006
[11] M Gradinaru I Nourdin F Russo and P Vallois ldquo119898-orderintegrals and generalized Itorsquos formula the case of a fractionalBrownian motion with any Hurst indexrdquo Annales de lrsquoInstitutHenri Poincare Probabilites et Statistiques vol 41 no 4 pp 781ndash806 2005
[12] A Lejay and N Victoir ldquoOn (119901 119902)-rough pathsrdquo Journal ofDifferential Equations vol 225 no 1 pp 103ndash133 2006
[13] T Lyons and N Victoir ldquoAn extension theorem to rough pathsrdquoAnnales de lrsquoInstitut Henri Poincare Analyse Non Lineaire vol24 no 5 pp 835ndash847 2007
[14] A Neuenkirch and I Nourdin ldquoExact rate of convergence ofsome approximation schemes associated to SDEs driven by afractional Brownian motionrdquo Journal of Theoretical Probabilityvol 20 no 4 pp 871ndash899 2007
[15] I Nourdin ldquoSchemas drsquoapproximation associes a une equationdifferentielle dirigee par une fonction holderienne casdu mouvement brownien fractionnairerdquo Comptes RendusMathematique Academie des Sciences Paris vol 340 no 8 pp611ndash614 2005
[16] I Nourdin and T Simon ldquoOn the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionrdquoStatistics amp Probability Letters vol 76 no 9 pp 907ndash912 2006
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
International Journal of Stochastic Analysis 13
[17] I Nourdin and C A Tudor ldquoSome linear fractional stochasticequationsrdquo Stochastics vol 78 no 2 pp 51ndash65 2006
[18] D Feyel and A de La Pradelle ldquoCurvilinear integrals alongenriched pathsrdquo Electronic Journal of Probability vol 11 no 34pp 860ndash892 2006
[19] M Gubinelli ldquoControlling rough pathsrdquo Journal of FunctionalAnalysis vol 216 no 1 pp 86ndash140 2004
[20] J Unterberger ldquoA rough path over multidimensional fractionalBrownianmotion with arbitrary Hurst index by Fourier normalorderingrdquo Stochastic Processes and their Applications vol 120no 8 pp 1444ndash1472 2010
[21] A Neuenkirch S Tindel and J Unterberger ldquoDiscretizing thefractional Levy areardquo Stochastic Processes and their Applicationsvol 120 no 2 pp 223ndash254 2010
[22] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to fractional Brownian motion with Hurst parameterlesser than 12rdquo Stochastic Processes and their Applications vol86 no 1 pp 121ndash139 2000
[23] E Alos O Mazet and D Nualart ldquoStochastic calculus withrespect to Gaussian processesrdquo The Annals of Probability vol29 no 2 pp 766ndash801 2001
[24] L Decreusefond ldquoStochastic integration with respect to Gaus-sian processesrdquo Comptes Rendus Mathematique Academie desSciences Paris vol 334 no 10 pp 903ndash908 2002
[25] L Decreusefond ldquoStochastic integration with respect to frac-tional Brownian motionrdquo in Theory and Applications of Long-Range Dependence pp 203ndash226 Birkhauser Boston MassUSA 2003
[26] L Decreusefond ldquoStochastic integration with respect toVolterra processesrdquo Annales de lrsquoInstitut Henri Poincare Prob-abilites et Statistiques vol 41 no 2 pp 123ndash149 2005
[27] L Decreusefond and A S Ustunel ldquoStochastic analysis of thefractional Brownian motionrdquo Potential Analysis vol 10 no 2pp 177ndash214 1999
[28] Y Hu and D Nualart ldquoDifferential equations driven by Holdercontinuous functions of order greater than 12rdquo in StochasticAnalysis and Applications vol 2 of The Abel Symposium pp399ndash413 Springer Berlin Germany 2007
[29] D Nualart and A Rascanu ldquoDifferential equations driven byfractional Brownian motionrdquo Universitat de Barcelona Col-lectanea Mathematica vol 53 no 1 pp 55ndash81 2002
[30] D Nualart and B Saussereau ldquoMalliavin calculus for stochasticdifferential equations driven by a fractional Brownian motionrdquoStochastic Processes and their Applications vol 119 no 2 pp 391ndash409 2009
[31] SDarses andB Saussereau ldquoTime reversal for drifted fractionalBrownian motion with Hurst index 1198671199093119890 12rdquo ElectronicJournal of Probability vol 12 no 43 pp 1181ndash1211 2007
[32] P K Friz and N B Victoir Multidimensional Stochastic Pro-cesses as Rough Paths Cambridge University Press CambridgeUK 2010
[33] A S Ustunel and M Zakai ldquoThe construction of filtrations onabstract Wiener spacerdquo Journal of Functional Analysis vol 143no 1 pp 10ndash32 1997
[34] L M Wu ldquoUn traitement unifie de la representation desfonctionnelles de Wienerrdquo in Seminaire de Probabilites XXIVvol 1426 of Lecture Notes in Mathematics pp 166ndash187 SpringerBerlin Germany 1990
[35] M Zakai and O Zeitouni ldquoWhen does the Ramer formula looklike the Girsanov formulardquo The Annals of Probability vol 20no 3 pp 1436ndash1441 1992
[36] S G Samko A A Kilbas and O I Marichev FractionalIntegrals and Derivatives Gordon and Breach Science YverdonSwitzerland 1993
[37] A S Ustunel An Introduction to Analysis on Wiener Space vol1610 ofLectureNotes inMathematics Springer Berlin Germany1995
[38] D NualartTheMalliavin Calculus and Related Topics Springer1995
[39] N Dunford and J T Schwartz Linear Operators Part II WileyClassics Library 1988
[40] A Feintuch and R Saeks System Theory vol 102 of Pure andApplied Mathematics Academic Press New York NY USA1982 A Hilbert Space Approach
[41] A F Nikiforov andV B Uvarov Special Functions ofMathemat-ical Physics Birkhauser 1988
[42] B Simon Trace Ideals and their Applications vol 120 AmericanMathematical Society Providence RI USA 2nd edition 2005
[43] A Uppman ldquoSur le flot drsquoune equation differentielle stochas-tiquerdquo in Seminar on Probability XVI vol 920 pp 268ndash284Springer Berlin Germany 1982
[44] F Hirsch ldquoPropriete drsquoabsolue continuite pour les equationsdifferentielles stochastiques dependant du passerdquo Journal ofFunctional Analysis vol 76 no 1 pp 193ndash216 1988
[45] H Sugita ldquoOn a characterization of the Sobolev spaces overan abstract Wiener spacerdquo Journal of Mathematics of KyotoUniversity vol 25 no 4 pp 717ndash725 1985
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical Problems in Engineering
Hindawi Publishing Corporationhttpwwwhindawicom
Differential EquationsInternational Journal of
Volume 2014
Applied MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Probability and StatisticsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Mathematical PhysicsAdvances in
Complex AnalysisJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
OptimizationJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
CombinatoricsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Operations ResearchAdvances in
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Function Spaces
Abstract and Applied AnalysisHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of Mathematics and Mathematical Sciences
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Algebra
Discrete Dynamics in Nature and Society
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Decision SciencesAdvances in
Discrete MathematicsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom
Volume 2014 Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Stochastic AnalysisInternational Journal of