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7/23/2019 Mac-1987-2289 Reptation of Living Polymers: Dynamics of Entangled Polymers in the Presence of Reversible Chai
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Macromolecules
198 7,2 0, 2289-2296 2289
neously performing Brownian (jittering) motion. Non-
Newtonian systems often show nonlinear hydrodynam ics.
If the mo tion of a body has two velocity components, th e
total drag on that body in a non-Newtonian fluid may not
be the s um of the drags experienced if the body performed
each of the compo nent motions separately. Th e sedi-
men tat ion of a Brownian part ic le need not be the same
as the sedimentation of an elsewise similar particle whose
Brownian motion has been suppressed . Einsteins argu-
ments refer to the drag coefficient of a particle which
simultaneously sediments and diffuses, not
to
a body which
sediments without undergoing Brownian motion.
In conclusion, we have observed probe diffusion in a
polyelectrolyte solution, noting the dependence of D on
the m ajor experimental variables: polymer concentration,
polymer neutralization, ionic strength, probe radius, and
solution viscosity. Relatively simple relations conn ect these
variables. T h e available theoretical models for
D
are not
entire ly sat isfactory, in th at th ey predict incorrect ly the
depend ence of
D I D ,
on
R
and d o not predict accurately
the depend ence of D on
I
or c. Identification of the re-
lationship between
D
and viscosity requires a more ex-
tensive study of the rheological properties of the polye-
lectrolyte solutions used for the probe diffusion mea-
surements .
Registry
No.
Polystyrene, 9003-53-6;poly(acry1ic acid) sodium
salt, 9003-04-7.
Supp lemen tary Mater ial Available: Tables of D values for
polystyrerie spheres a t various electrolyte concen trations as a
function of polymer concentr?tion an d a t various pHs and polymer
concentrations as a function of the concentration of adde d NaCl
and tables of results a t various pHs on polystyrene spheres in
different poly(acry1ic acid) and NaCl concentrations (13 pages).
Ordering information is given on any current masthead page.
References and Notes
(1) Ullmann, G. S.; Phillies, G.
D.
J. Macromolecules 1983, 16,
1947.
(2)
Ullmann, G. S.; Ullmann, K.; Lindner, R.; Phillies,
G . D.
J.
J.
Phys . Chem.
1985,89, 692.
(3) Phillies, G. D. J. Biopolymers 1985, 24, 379.
(4)
Lin, T. H.; Phillies, G.
D. J. J.
Phys . Chem.
1982, 86, 4073.
(5) Lin, T.-H.; Phillies, G. D. J. J.Colloid Interface Sci. 1984,100,
82.
(6) Lin, T.-H., Phillies, G. D. J. Macromolecules 1984, 17, 1686.
(7 ) Ullmann. K.: Ullmann. G. S.: Phillies. G.
D.
J.
J.
Colloid Zn-
,
terface Sci.
1985, 105,315.
8 ) Phillies, G.
D.
J.; Ullmann, G.
S.;
Ullmann,
K.;
Lin, T.-H.
J.
Chem. Phys.
1985 ,82, 5242.
(9) Phillies, G . D. J.
Macromolecules
1986, 19, 2367.
(10) Gorti, S.; Ware, B. R. J . Chem. Phys. 1985,83, 6449.
(11) Callec, G.; Anderson, A. W.; Tsao, G. T.; Rollings, J.
E.
J.
App l . Polym. Sc i . 1984, 22, 287.
(12) Kato,
Y.;
Komiya, Y.; Iwaeda,T.;Sasaki, H.; Hashimato, T.
J .
Chromatogr. 1981 ,208, 105; 206, 135;
208,
71; 211, 383.
(13) Yau, W. W.; Kirkland, J. J.; Bly, D.
D.
Modern Site-Exclusion
Chromatography; Wiley: New York, 1975,
p
61.
(14) McConnell, M. L. A m . L a b . 1978, 10 3 , 3.
(15)
Ouano,
A.
C.; Kaye, W. J . Polym. Sci.
1974, 12, 1151.
(16) Yu, L.-P., Rollings, J. E. J . Ap pl. Polym. Sci. 1987, 33, 1909.
(17)
Gorti, S.;Plank, L.; Ware, B. R. J.Chem. Phys.
1984,81, 909.
(18)
Koppell, D. E. J. Chem. Phys .
1972 ,57 ,4814 .
(19)
Phillies, G.
D. J.
J . Chem. Phys .
1974, 60, 983.
(20) Phillies, G. D. J. Macromolecules 1976, 9, 447.
(21) Jones, R. B. Physica 1979, 97A, 113.
(22)
Kops-Werkhoven, M.-M.; Pathmamanoharan, C.; Vrij,
A.;
Firjnaut, H. M. J.Chem. Phys. 1982, 77, 5913.
(23)
Lodge, J.
P.
Macromolecules
1983,
16,
1393.
(24) Noggle, J. H.
Physical Chem istry on
a
Microcomputer;
Little,
Brown, and Co.: New York, 1985.
(25)
Ogston,
A.
G.; Preston, P. N.; Wells, J.
D.
Proc. R. OC. o n -
don, A 1973,
333,
297.
(26) Langevin,
D.;
Rondelez,
F. Polymer
1978, 14, 875.
(27) Altenberger, A. R.; Tirrell,
M.
J.
Chem. Phys.
1984,80, 2208.
(28) Cukier, R. I. Macromolecules 1984, 17, 252.
(29) Malone, C. M.S. Thesis, Worcester Polytechnic Insti tute, 1986.
(30) Odijk, T. Macromolecules 1974, 12, 688.
Reptation
of
Living Polymers: Dynamics
of
Entangled Polymers
in the Presence
of
Reversible Chain-Scission Reactions
M. E. Cates
I n s t i tu t e f o r T h e o r e t i c a l P h y s ic s , U n iv e r s i t y o f Ca l i fo r n ia , S a n t a B a r b a r a , Ca l i fo r nia 93106.
Rece ived December
12, 1986
ABSTRACT: A theoretical stu dy is made of the dynamics of stress relaxation in a dense system of living
polymers. The se are linear chain polymers tha t can break and recombine on experimental time scales. A
simple model for the reaction kinetics is assumed, in which (i) a chain can break with equal probability per
unit time per unit length a t all points in th e chemical sequence and (ii) two chains can combine with a rate
proportional to t he product of their concentrations. The chain length distribution is then exponential with
mean
t;
s taken t o be large enough that
a =
L e / t
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Macromolecules,
Vol.20,
No.
9, 1987
m
0 (4
Figure 1. Rep tation of a chain in its tube. The tube is defined
at time
t
= 0 (a ). C urvilinear diffusion causes parts of the tube
to be lost (b,c); he new tube that is formed (not drawn) is in
equilibrium and does not support stress. At
t
Z
rlep,none of the
original tube remains (d).
Here Do is a mobil i ty co nstant , independ ent of L; t h e
curvilinear diffusion constant of a chain along its own
contour is
D,
= Do/L
Since each chain has to diffuse a curvilinear distance L to
disengage from its tub e, we have
L2 zz
D,r
which gives th e result 1). Since successive acts of disen-
gagement are uncorrelated and each results in a dis-
placem ent of th e center of mass of the ch ain by a distance
of order its gyration radius
R
-
L1)I2
wi th t he Kuhn
length ), the diffusion c onstant of the chain in real space
is
(2)
Th e result (2) is well confirmed experimen tally,2 or chains
longer than a cri tical length Le, he entanglement length.
For sh orter chains, the topological obstruction of on e chain
by ano ther is much less important; the dom inant relaxation
me c ha n ism is no t r e p t a ti on , bu t a R ouse- li ke m ~ t i o n . ~
It follows1 from eq
1
hat the zero-shear viscosity, p ,
should obey
(3)
for a homologous series of melts of differen t chain length s
L t e.
Here Go s th e instantaneous shear modulus, which
is proport ional to t he d ensi ty of degrees of freedom th at
couple to the reptat ive relaxation mechanism (Le. , the
num ber densi ty of entanglements) and is independ ent
of
L
for
L t e.
Notice th at by dem anding continuity (at
L r Le)
of eq
2
a nd 3 with th e corresponding results from
the Rouse model3
( D
- 1/L; - L;Go- / L ) , ne ob-
tains the fol lowing dependence o n Le of th e param eters
in the rep tat ion model:Ib
D
R 2 / r r e p z DolL-2
p r G,yrrep-
L 3
Do - Le;
Go - 1/L,
Th e re su l t (3)
is
somewhat less sat isfactory than (2),
since the expe rimental d ata is traditionally described2 by
th e law q - L 3 . However, various explanations for this
discrepancy have been proposed within th e framework of
the tub e model .4 (In particular,
it
is possible that the
-
(4
Figure 2. (a ,b) Histo ry of a given portion of tube (shaded) can
be traced by imagining the tube to diffuse relative to the chain
(for clarity this is drawn fully extend ed). As soon as the shaded
portion passes eith er end of the chain (of length L ) , he stress
associated with it is lost. The probab ility ~ ( t )hat this has not
happened by time
t
is therefore the survival probability of a
particle diffusing on the line segment [0,L]with absorbing
boundary conditions at each end
(c).
Averaging over all tube
segments present at time zero is equivalent to averaging over all
starting positions of the particle. In the presence of breakage and
recombination, the process is modified (eq 10) so that the ab-
sorbing walls can make discrete jumps toward or away from the
particle (corresponding to breakage (d ) and recombination (e) ,
respectively). The instantaneous diffusion constant of the particle
varies inversely with the
tota
length of the chain and so fluctuates
in time.
observed behavior is simply a misleading crossover from
the Rouse-l ike regime a t L Le.)
Doi an d Edw ards5 examined in detail th e consequences
of the reptation hypothesis, and constructed a constitutive
equation t ha t describes the l inear and nonlinear viscoe-
lastic response of polymer melts under a variety of de-
formation conditions.2 In the Doi-Edwards theory, a
central object is th e stress relaxation function
p t ) ,
which
describes the fraction of imposed stress remaining a t time
t after an infini tesimal stress is imposed a t t ime 0. Thi s
is simply th e average fraction of tu be (existing at time zero)
th at has no t been lost by disengagement by t ime t :
(4)
where Td= L2/D,x2 = T,,,,. Th is result is found by ob-
serving that t he parts of the original tub e remaining a t
time t are those through which neither end has passed. By
imagining the chain to be a t rest in a moving tube (Figure
2a-c), it is easy to see tha t p(t) is the survival probability
a particle of diffusion constant D,, launched a t t = 0 with
uniform probabil i ty on the l ine segment
[0,
L ]
with ab-
sorbing boundary con ditions a t either end. T he result (4)
is easily found by Fou rier decomposition. T he zero-shear
viscosity p is then given by
~ ( t )( S / d 2 P - ~ xp(-tp2/Td)
p=odd
In deriving
p t ) ,
an important a ssumption i s tha t the
tub e constraint imposed on a ny given chain by its neigh-
bors remains in tact on th e t ime scale ire f the disen-
gagement. Since these neighbors are themselves disen-
gaging from their own tub es on the same t ime scale, this
assumption is not obviously self-consistent. Nonetheless,
the Doi-Edwards theory is remarkably successful a t de -
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1987
Reptation of Living Polymers 2291
any positive value.)
It
is fur ther assumed th at th e reverse
react ion proceeds a t a ra te proport ional t o the produ ct of
the concentrat ions of the two react ing subchains and,
moreover, that the rate con stant involved is independen t
of the m olecular weights of these two subchains. Th is
latter assumption is based on the idea that, a t high enough
concentrat ion, the rate-l imit ing step is no t the diffusion
of the reacting chains over a large distancels bu t som e local
kinetic process. We also assume successive breakage an d
re c ombi na t i on e ve n t s fo r a g i ve n c ha i n t o be
uncorrelated-there is no higher probability for a chain
end to l ink u p with th e chain from which i t was recently
detached th an w ith any other chain end in th e vicini ty.
Th e conditions und er which these assum ptions are self-
consistent will be discussed in section 3.2. Finally we note
that since only the linear viscoelastic response will be
considered, it is unnecessary to consider whether or not
these reaction kinetics are significantly altered by the
application of a strain field.
With these assumptions, the equation governing the
time development of the number density
N(L)
dL f chains
of len gth L 1/2 dL may be wri t ten as
(L)
= -c1LN(L)
- c2N L)J+dL L? +
0
scribing the experimental results for high polymers of
narrow molecular weight distribution.2 For polydisperse
systems, however, a simple superposition of the Doi-Ed-
wards p t ) for different chain lengths proves to be inade-
qua te ,6 and explic i t account must be take n of the tub e
renewal effects7 th at resu lt from rearr angem ent of
neighboring chains. Non etheless, unless th e system con-
tains (in significant numbers) chains of two or m ore com-
pletely dissimilar lengths, the characterist ic re laxation
t ime
7
tha t en ters the viscosity, 7
zi 07,
should remain
comparable to the reptation time
7,, , L)
of a chain of some
average length,
L.
2. Living Polymers
In the present paper, we discuss the modifications that
mu st be made to th e reptation picture in order to describe
th e dynam ics of long linear chains (L
>>
Le) ha t can break
and re -form on exper imenta l t ime sca les ( l iv ing
polymers). Our principal motivation comes from three
types of experiment:
(i) Recent studies of su rfact ant organization in micellar
systems and microemulsions8 have demonstrated that ,
under special conditions, the equilibrium structu re consists
of a concentrated solution of tubu lar m icelles th at are very
much longer th an an appropriately defined K uh n length;
they c an therefore be trea ted theoretically as polymers.1
Preliminary exp erimental dat a on shear behavior: which
indicates a stron g dependence of viscosity on the volume
fraction of surfacta nt , appear s to be quali ta tively com-
patible with the results from a reptat ion theory.l1 How-
ever, theor etical work on m icellization1J2 suggests th at,
under appropriate conditions, there may be no u pper limit
to the length of the micelles in equilibrium. Pre sum ably
therefore, ther e exists a regime of parameters in which the
reptatio n time of the micelles is so long tha t it exceeds the
time scale characterizing the dynamic equilibrium of their
breakage an d reformation; in anticipation of experiments
in this regime, we ask here wh at can be said theoretically
abo ut the result ing dynamics.
(ii) Sys tem s of end-functionalized linear polymers are
of increasing expe rime ntal interest,13 especially insofar as
they provide well-characterized ex amples of a much larger
class of associating polymers. Th ese are polymers tha t
can form tr ansien t reversible l inkages w ith one another;
they are of considerable technological significance as
flow-modifying additives.14 If both ends of each polymer
are capped wi th a fun c t iona l group tha t t ends to form
dimers (such as carboxylic acid groups in a nonpolar en-
vironment), then a t high densi ty the polymers will them-
selves be predominantly polymerized into longer linear
chains. Th e reptat ion t ime can then become very great ,
and one certainly expects the kinetics of chain breakage
and recombination t o be relevant in determining the time
scale of stress re laxation in the melt and concentrated
solutions.
(i i i) Th ird , one may be interes ted in th e dynamics of
chemically homogeneous equilibrium polymers, as seen in
systems such as liquid sulfur.15J6 In fact
it
is found th at
the present m odel (as extended in sect ion 4 o cover the
case of very small
7break)
gives an excellent account of the
experimentally observed viscosity of sulfur over a wide
temp erature range above the polymerization point. Details
of the relev ant calculation will be presen ted elsewhere.
2.1 Kinetics
of
Breaking and Recombination. W e
sta rt from th e simplest possible model for the kinetics of
chain breakage and recombination. In this model i t is
assumed th at a chain can break with a fixed probability
per u nit t ime per un it length anywhere along i ts length,
L .
(Thus
L
is treated as a continuous variable and can take
C ~ S ~ = S ~ - ~ ~ ~ N ( L ? N ( L ) G ( L + - L) 6)
Here the f i rs t t e rm represents the decrease in N (L ) by
breakage, the second is the decrease by reaction of chains
of length L with oth ers to form longer chains, the th ird is
the r ate of creation of chains of length
L
by breakage of
longer chains, and the final term is the rate of creation by
reaction of two shorter chains to produce one of length
L.
Th e parameters
c1
a nd c2 are (appropriately dim ensioned)
rate con stants for the breakage and recombination pro-
cesses, respectively.
This equation has the steady-state
(I\j(L)=
0) solution
N ( L )
= (2c1/c2)
exp(-L/L)
(7)
where L depend s as follows on the rate constants an d the
overall arc concentration of polymer,
p =
S t L N ( L ) dL:
2 P
=
p c z / c , (8)
7break =
( C l L ) - l
(9)
It
is convenient to define the characteristic time
which is th e expected survival time of a chain of the m ean
length ,C before i t breaks into two pieces. No te that the
survival time of a typical chain end, before it is lost by
recombination, is of the sam e order as 7break; the equiva-
lence of thes e two tim e scales is a dir ect consequence of
the principle of detailed balance.
2.2 Dynamics of Stress Relaxation. We imagine a
system of chains in a steady sta te of dynam ic equilibrium
as described b y eq
6-9.
In a sm all time interval 6t, a chain
of
length L (t) can break in any small interval
61
along its
length, with probability c16l6t, or eithe r of its ends ca n join
with anothe r chain of length L 6L, in each case with
probability
c1
exp(-L
/L)6L6t/ .
It is simple enough in principle to couple this stocha stic
process with that describing the curvilinear diffusion of
a chain in its tube, as described after eq
4.
We recall that,
in tha t case, i t was convenient to consider a section of the
original tube as a particle of diffusion constant D, aunched
with uniform probability on the line segment
[O,L]
with
absorbing walls at either end (Figure 2 ;
p(t)
i s then th e
survival probability at time
t
after launch. In the present
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case we m ust allow the abso rbing walls themselves
to
make
jumps according to the stochastic process described in th e
previous paragraph (F igure 2d,e). L et ua denote th e length
of the line segment to the left of the particle by Lle,(t), and
that to the right by Lright(t); he sum of these is
L ( t ) .
W itho ut loss of generality, we can se t in eq 7 L = 1 (by
choosing it as the un it of length), in which case (Ll eft)
=
(LQht) =
1.
(Note that each half of the chain has average
length L, not L/2 . Th is is because we are averaging over
all points on all chains, which is a weight average.)
This gives the following transition probabilities in a
small time interval 6 t :
p = 72: h e f t - eft
+ A; Lright
- right - A
( l oa )
p = y :
h e f t
-
e f t
- A;
Lright
-
right
+
A ( l o b )
p = 2c16L6t: h e f t
- left
* 6L
( L eft < e d
(10c)
(10d)
(10e)
p = 2c16L6t:
Lright - L
:ight
*
6L
(L
ight
< Lright)
=
c1
exp(-L?GLGt:
Lleft
-
left
+
L
f
6L
p =
c1
exp(-L?GLGt:
Lright - right +
L
f
6L
(10f)
In these equations,
f6L
epresents symbolically an infin-
itesimal length interval. Equations 10a and 10b represent
the D oi-Edwards diffusion process, in which a small
portion of the chain to th e left of the particle is transferred
to th e right, (lo a) , or vice versa, (l ob ); for simplicity we
have defined the transition probability
as
independent
of the time step b t , and accordingly taken a diffusive step
length
A
=
(2D,6t)i2 = [2 (DO/ L( t ) )6 t ]1 / 2
Not e t ha t
A
depends on the instantaneous curvil inear
mobility, D , = Do/L(t ) , and
so
changes stochastically with
time. Eq uation s 1Oc and 10d describe th e kinetics of the
breaking process, and eq 10e and 10f th at of recombina-
t ion; each of these occurs ind ependently for the left and
right half of the chain. T o complete the specification of
the system, we state th at a t t ime t
= 0,
an d Lright are
chosen independently from an exponential distribution
with mean
t 1;
moreover, if in any time interval
6 t
either
L1, or L ht becomes negative, the par ticle dies. W ith these
definitions, the stress relaxation functio n p t ) is simply the
survival probability of th e particle to tim e t , ust as in the
simpler case of o rdina ry reptation.
Since the ju mp s in Lleft and Lright orresponding to
breakage and recombination are not infinitesimal (as 6 t
- ,
the stochastic process described by eq
10
is no longer
purely diffusive, and we do not expect an analytic solution
to the problem. Nonetheless, various things can be said.
First,
if
Tbreak
- ,
we are left with the Doi-Edwards
stress-relaxation calculation for a system of chains with
exponential polydispersity, as given by eq 7. Th us eq 10a
and 10b will give
p t ) = ~ - 1 1 ~ ~xp(-L/L)p(L, t )
d~
11)
where p(L ,t) is given by eq 4. A steepest descents analysis
then suggests that to a good approximation 11)can be
replaced by
0
@(t)
-
e x ~ [ - ( t / ~ ~ ~ ~ ) I (12)
where T , , ~ s tands for T ~ ~ ~ ( L )D 0 / L 3 . This is a ra ther
disperse relaxation function, which in practice one would
expect to be significantly modified by tu be renewal effects,
c )
(4
Figure
3. Relaxation mechanism proposed in the text. The
relaxation of the shaded segment proceeds when
a
break occurs
within a distance X in the chemical sequence (a). The break must
be close enough that the
new
end
can
pass through the shaded
segment
(b,c)
before
it
recombines with tha t
of
a neighboring chain
(d).
as discussed in section
1.
Nonetheless, one does not expect
the power law dependence on L of the viscosity,
7 - J a p t ) d t - T , ~ ~ ( L )L3 (13)
to be affected by tube renewal, since this occurs on a
comparab le time scale to reptatio n itself. Generalizing to
the case when T , , ~ break m, we expect the relaxation
function in (12) to be reduced at long times
( t
2 Tbreak),
by which time it is, however, already small. Th us the
viscosity 7 is still given by (13).
Th e interesting new regime occurs when Tbre , ,~. In
this regime, chain breakage and reformation will both occur
often, for a typical chain, before i t has disengaged from
its tube by ordinary reptat ion. We propose tha t the
dominant relaxation mechanism for the relaxation of a
typical tube segment x initially not close to th e en d of a
chain, is the n as follows: (i) Th e chain breaks within a
certain distance X of x along the chemical sequence. (ii)
Curvilinear diffusion brings the new chain end past
x
before this chain en d is lost by recombination (Figure 3).
Since the recombination time is comparable to Tbre. (by
detailed balance; see section 2.11, we find tha t
A,
the largest
distance a t which a break can usefully occur for relaxation
by this mechanism, obeys
A 2 D c ( L ) T b r e a k
where
L
is the length of the newly broken chain.
Pre-
suming this to be of order the mean, L , we obtain
X z Do L-2/c1 = Lq- ({
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Th is may be rewri t ten as
(7rep7break)
l J 2 { S
1) (16b)
which emphasizes th at th e domina nt re laxation process
involves
a
cooperation between the breaking an d rep tation
mechanisms. Notice th at the result expressed in this form
has n o explic it dependence on th e overal l chain concen-
tration, the K uhn length, and other param eters; these only
ente r through
7break
a n d 7rep Th us we expec t the resul t
to apply w henever the rep tat ion model is appropriate for
the description of chain dynamics on scales of order
A
(Th is condition is quantified in sect ion 4 below.)
One might imagine th at a tub e segment on a very long
chain could relax faster th an th is by w aiting for two breaks
to occur nearby (o ne on either side), Th is would leave the
segm ent on a chain of length
L
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involving th at en d will make a n unbiased sampling of the
ensemble of oth er chains, in proport ion to their number
density and with no particular preference for the chain end
that was involved in the preceding dissociation event.
Since exploration by a re ptatin g chain end is compact,18
th e volume Ve is of order X1)3/z; in a melt, the condition
for consistency is then
( X l ) 3 1 2 / ( L l 2 ) >>
1
Th e factor 1/
(LP)
n this expression is just th e den sity of
chain ends. Since
X
=
L[l2
this may be rewrit ten as
[
>> ( L / 1 ) - 2 / 3
This, for long chains, is a rather weak restriction on [ =
Tb,, /Trep; nly for very sm all values will th e effects of chain
diffusion on reaction rates be noticeable.
Of course, for
part ia lly di luted systems, they may become m uch more
important .
In any case i t should be noted that the fundamental
scaling result for th e relaxation time, eq
16,
does not de-
pend in detail on our assum ptions for the recom bination
kinetics. Th e only requirements are that a chain can break
with roughly equ al probabil i ty per unit t ime anywhere
along its length an d
that
the recombination kernel depends
sufficiently smoothly on chain lengths that, by detailed
balance, the lifetime of a broken end b efore recomb ination
is comparable to th e lifetime of th e original chain before
breaking. Thus, for example, the argument leading to eq
16 would not necessarily be invalidated even if recomb i-
nation were to often involve the sam e end as took pa rt in
the preceding breakage event .
4. Crossover to Regimes Involving Breathing
and Rouse-Like Motion
It
is impo rtant to discuss und er w hat range of para m-
eters the combined reptat ion/ breakage mechanism pro-
posed above will dominate over those involving (i) the
breathing m odes of a chain in its tub e (leading to fluc-
tuations in the tube-length) an d (ii) the Rouse-like motion
of stretches of chain shor ter than t he e ntangle men t length,
0 0
2. 0 40
6. 0 8 0
Figure
5. log-linear plots of the stress-relaxatio n function p t )
against time
for
> Le
However, though necessary, this is not sufficient. In fact
we require
2
L e L ) / 2
=
La/*
(19)
LY = L e/ L 1
where we have introduced th e parameter
Th e condition (19) arises because an en tangled chain un-
dergoes
a
constrained Rouse-like motion within its tube,
which results in fluctuations in the tu be length of order
AI z La1/* ,on a time scalelbJ8J9
Tbreathe a7rep (20)
When X 5 AL he newly created chain end need not
reptate to th e posi t ion occupied by our chosen tube seg-
me nt b ut typically gets there more quickly by means of
a b reathing fluctuation in which the chain contracts
down i ts tube. It is known that the mean curvil inear
distance [ raveled by a chain end (or any other monom er)
as a function of time under such a fluctuation scales
aSlb,18,19
Do1/2t1/4
7/23/2019 Mac-1987-2289 Reptation of Living Polymers: Dynamics of Entangled Polymers in the Presence of Reversible Chai
7/8
Macromolecules,
Vol. 20, No. 9, 1987
Hence we define a characterist ic arc distance
A
by
A
= D01/Z7break1/4
5 /451/4
(21)
which is the m aximum distance away along the chemical
sequence tha t a break can typically occur for a breat hing
fluctuat ion to carry i t through our chosen tub e segment
before recombination.
Th e rate-l imit ing s tep for stress
relaxation is then w aiting for a break within th e distance
A, with a corresponding fu ndam ental re laxation t ime
(22)
Th e crossover between th e regime described by eq 16 and
that of eq 22 is when A = A, th a t i s, when { = CY.
Th is breathing picture is i tself only applicable a t arc-
length scales larger than the entanglement length,
Le.
Hence eq 22 breaks down when 7break is
so
small tha t
A
5 Le,
th at is , when
7 z
(c1A)-1 = 7repp4CY-1/4
{,