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Big Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras Sarason’s algebra Tensor products New Examples Substrictly cyclic algebras Sarason, Erdos, ... Ideals a substrict algebra End ——–.1 ——– Big Bases and large diagonal operators Big Bases May 2008 Ben Mathes Colby College
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Page 1: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.1

——–Big Basesand large diagonal operators

Big Bases May 2008

Ben MathesColby College

Page 2: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.2

Big Bases and Large Diagonal Operators

2666666666666666666666666666664

1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 00 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 00 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 00 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 00 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 00 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 11 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 0 12 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 0 0 13 0 0 0 0 00 0 0 0 0 0 0 0 0 0 0 0 0 14 0 0 0 00 0 0 0 0 0 0 0 0 0 0 0 0 0 15 0 0 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18

3777777777777777777777777777775

Page 3: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.3

Overview

1 KalischOne dimensional example: Mx − VTwo dimensional example: Mx − V + i(Ny −W )

2 Sarason - WatermanInvariant subspaces of Mx + VInvariant subspaces of Mx − VSpectral synthesis!

3 Strictly cyclic algebrasSarason’s algebraTensor productsNew Examples

4 Substrictly cyclic algebrasSarason, Erdos, ...Idealsa substrict algebra

5 End

Page 4: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.4

• Theorem

(Kalisch) Given any compact subset of the plane, there existsan operator whose spectrum equals that compact set andconsists entirely of simple point spectrum.

• We say that α is in the point spectrum of T when

Tv = αv

for some v 6= 0, and it is simple point spectra if thecorresponding eigenspace is one dimensional.

Page 5: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.5

First Kalisch paper......Mx − V

1

1t

A big basis......

{χ[t,1] : t ∈ [o,1)

}

Page 6: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.6

apply Mx (red) and −V (blue), then add ......

1

1t

A continuum of eigenvectors for Mx − V ......

χ[t,1] 7→ tχ[t,1]

Page 7: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.7

T = Mx − V

Theorem

(Kalisch) Take any closed subset E of (0,1), and letMEdenote the closed linear span of the correspondingeigenvectors. Then the restriction of T to this invariantsubspace has spectrum E and consists entirely of simple pointspectra.

Page 8: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.8

T = Mx − V + i(Ny −W )

• To accommodate sets with planar interior, move to L2(I)with I the unit square.

• Use the operator T = Mx − V + i(Ny −W ) whosespectrum is the closed unit square.

• Show that every α in the interior of I is simple pointspectra.

• Theorem

(Kalisch) Take any closed subset E contained in the interior ofI, and letME denote the closed linear span of thecorresponding eigenvectors. Then the restriction of T to thisinvariant subspace has spectrum E and consists entirely ofsimple point spectra.

• Technique of proof: here’s an operator, let’s roll up oursleeves and compute the spectrum!

Page 9: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.9

Sarason and T = Mx + V

• Use V to map L2[0,1] bijectively onto the set A ofabsolutely continuous functions that vanish at the origin.

• Put a norm on A so that V becomes a unitary.• Observe that Mx + V is then unitarily equivalent to

multiplication by x on A• Since A is an algebra, find the closed ideals to

characterize the invariant subspaces.• Technique of proof: Banach algebras - function spaces

Page 10: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.10

The relation of Sarason’s operator to Kalisch......

1

1t

Eigenvectors for T ∗......

{χ[0,t] : t ∈ (0,1]

}χ[0,t] 7→ tχ[0,t]

Page 11: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.11

Like Kalisch, Waterman works with T = Mx − V(Waterman was a student of Kalisch)

• Characterize the algebra generated by T , the algebra of“large diagonal operators"

• The mappingχ[t,1] 7→ h(t)χ[t,1]

extends to a bounded operator when h is absolutelycontinuous on [0,1) with extra technical conditions aboutwhat happens at 1

Page 12: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.12

A very nice algebra!

Theorem

(Sarason-Waterman) These operators admit spectralsynthesis. From Sarason’s Banach algebra perspective, thismeans every closed ideal is an intersection of maximal ideals.From Waterman’s perspective, every invariant subspace isspanned by eigenvectors.

Page 13: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.13

Definition (Hilbert Ring)

A Hilbert Ring is a Hilbert space that has a boundedmultiplication defined on it.

Definition (Strictly cyclic algebra)

A commutative strictly cyclic algebra is the set of multipliers{Mx : x ∈ H } where H is a unital commutative Hilbert ring.

Definition (Strictly cyclic operator)

A strictly cyclic operator is a multiplier corresponding to asingly generated unital Hilbert ring.

Definition (Substrictly cyclic operator)

A substrictly cyclic operator is a multiplier corresponding to asingly generated Hilbert ring.

Page 14: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.14

A cool thing...

Being “selfdual", the maximal ideal space of a Hilbert ring livesinside the Hilbert space.

Examples

1 The algebra A of absolutely continuous functions, normedas Sarason did, is a unital Hilbert ring.

2 We can move the multiplicative structure of Sarason’salgebra to L2[0,1] obtaining the multiplication

f ? g = Vf g + f Vg

defined on L2[0,1]

3 Our big basis{χ[0,t] : t ∈ (0,1]

}is then seen to be the

maximal ideal space.

Page 15: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.15

Adjoints of multipliers...

Assume A is a commutative Banach algebra, a ∈ A, and Mathe multiplier on A:

Ma(b) = ab.

1 Every multiplicative functional is an eigenvector for M∗a .2 The eigenspaces are one-dimensional when a is a

generator.

Page 16: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.16

To use quotients...

Definition

A commutative Banach algebra A is Shilov regular when everyclosed subset of the maximal ideal space can be separatedfrom points not in it using elements of A:

< a,e >= 0 for e ∈ E but < a, f >6= 0

1 This is exactly what one needs to say that, for each closedE in the maximal ideal space, the maximal ideal space ofA/E⊥ is E .

2 This is a property lacking in many of the traditionalexamples of strictly cyclic algebras, those arising fromweighted shifts

3 Sarason’s algebra has this property, which is why Kalisch’smethod of restricting his operator to subspaces yielded anoperator with pure point spectrum.

Page 17: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.17

Use tensor products to fatten...

1 If H is Sarason’s Hilbert ring, then its spectrum is [0,1]

2 The Hilbert tensor product is also a Hilbert ring (that canbe identified with L2(I)) whose spectrum is the unit square.

3 Shilov regularity persists

Page 18: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.18

Recapturing Kalisch...

1 Let T = Mx + V , a generator of Sarason’s algebra withspectrum [0,1]

2 The operator A = I ⊗ T + i(T ⊗ I) has spectrum equal tothe unit square.

3 Given a desired compact set, scale it and translate to fitinside the square, call the result E

4 The image of A in the quotient has spectrum E (regularityis used here).

5 The adjoint of this image is (unitarily equivalent to)Kalisch’s restriction!

Page 19: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.19

Many new examples of strictly cyclic algebras andoperators...

Theorem

Given any compact subset of the plane, there exists a rationallystrictly cyclic operator whose spectrum equals that compactset.

Theorem

Given any polynomially convex compact subset of the plane,there exists a strictly cyclic operator whose spectrum equalsthat compact set.

Theorem

Given any compact subset of Euclidean space, there exists acommutative semisimple strictly cyclic algebra whose spectrumequals that compact set.

Page 20: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.20

Concept of substrictly cyclic operator...

Examples

1 Mx + V is a generator relative to Sarason’s multiplication

f ? g = Vf g + f Vg

2 Any Hilbert-Schmidt diagonal operator with distinct entries,the multiplier corresponding to a generator for pointwisemultiplication on `2

(ai)(bi) = (aibi)

3 The Volterra operator is also an example, with convolutionmultipication

f ◦ g(x) =

∫ x

0f (s)g(x − s)ds

Every substrictly cyclic operator is the restriction of a strictlycyclic operator to a maximal ideal.

Page 21: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.21

Can recapture another Theorem of Sarason:

Theorem

1 The strongly closed algebra generated by the Volterraoperator is maximal abelian.

2 A Kaplansky density result holds: the operators in the unitball of the strongly closed algebra generated by theVolterra operator are strong limits of operators in the unitball of multipliers.

3 The identity element is in the strongly closed algebragenerated by just the Volterra operator.

The ultra simple proof: there is an approximate identity inL2[0,1] for convolution, and the corresponding multipliers arecontractions.

Page 22: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.22

Can use this theory to characterize the strongly closedideals in the Volterra algebra

Theorem

1 The strongly closed ideals form a continuous chain It witht ∈ (0,1).

2 The annihilator of It is I1−t .3 These ideals consist entirely of nilpotents: the ideal I1/2

consists of square zero nilpotents.4 The ideal I1/n consists of nilpotents of order n.

Page 23: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.23

Examples

• The multiplication is on `2 via

(ai)(bi) = (aibi)

• The strictly cyclic algebra is

αI +

0 0 0 0 0

x1 x1 0 0 0x2 0 x2 0 0x3 0 0 x3 0

... 0 0. . . 0

• For the substrictly cyclic algebra, the multipliers are the

diagonal Hilbert-Schmidt operators, and the substrictlycyclic algebra is the algebra of all bounded diagonaloperators.

Page 24: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.24

Page 25: Big Bases Ben MathesBig Bases Ben Mathes Overview Kalisch One dimensional example Two dimensional example Sarason - Waterman Sarason Waterman Their result Strictly cyclic algebras

Big Bases

Ben Mathes

Overview

KalischOne dimensional example

Two dimensional example

Sarason - WatermanSarason

Waterman

Their result

Strictly cyclic algebrasSarason’s algebra

Tensor products

New Examples

Substrictly cyclicalgebrasSarason, Erdos, ...

Ideals

a substrict algebra

End——–.25

Dedicated to Heydar Radjavi


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