A Szeg\"o type theorem for truncated Toeplitz operators
Elizabeth Strouse, Dan Timotin, Mohamed Zarrabi

TL;DR
This paper establishes Szeg"o type theorems describing the asymptotic behavior of truncated Toeplitz operators when compressed to an increasing sequence of finite-dimensional model spaces, advancing understanding of their spectral properties.
Contribution
It introduces Szeg"o type asymptotic results specifically for truncated Toeplitz operators on model spaces, a novel extension in operator theory.
Findings
Asymptotic formulas for truncated Toeplitz operators derived
Spectral behavior characterized for increasing chain of model spaces
New Szeg"o type theorems proved for this class of operators
Abstract
Truncated Toeplitz operators are compressions of multiplication operators on to model spaces (that is, subspaces of which are invariant with respect to the backward shift). For this class of operators we prove certain Szeg\"o type theorems concerning the asymptotics of their compressions to an increasing chain of finite dimensional model spaces.
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Taxonomy
TopicsHolomorphic and Operator Theory · Algebraic and Geometric Analysis · Advanced Topics in Algebra
A Szegö type theorem for truncated Toeplitz operators
Elizabeth Strouse
Université de Bordeaux, Institut de Mathématiques de Bordeaux UMR 5251, 351, cours de la Libération, F-33405 Talence cedex, France
,
Dan Timotin
Institute of Mathematics of the Romanian Academy, P.O. Box 1-764, Bucharest 014700, Romania
and
Mohamed Zarrabi
Université de Bordeaux, Institut de Mathématiques de Bordeaux UMR 5251, 351, cours de la Libération, F-33405 Talence cedex, France
Abstract.
Truncated Toeplitz operators are compressions of multiplication operators on to model spaces (that is, subspaces of which are invariant with respect to the backward shift). For this class of operators we prove certain Szegö type theorems concerning the asymptotics of their compressions to an increasing chain of finite dimensional model spaces.
Key words and phrases:
Model spaces, truncated Toeplitz operators, Szegö Theorem
2010 Mathematics Subject Classification:
47B35, 30J10, 47A45
The Toeplitz operators are compressions of multiplication operators on the space to the Hardy space ; the multiplier is called the symbol of the operator. With respect to the standard exponential basis, their matrices are constant along diagonals; if we truncate such a matrix considering only its upper left finite corner, we obtain classical Toeplitz matrices.
It does not come as a surprise that there are connections between the asymptotics of these Toeplitz matrices and the whole Toeplitz operator, or its symbol. A central result is Szegö’s strong limit theorem and its variants (see, for instance, [4] and the references within), which deal with the asymptotics of the eigenvalues of the Toeplitz matrix.
On the other hand, certain generalizations of Toeplitz matrices have attracted a great deal of attention in the last decade, namely compressions of multiplication operators to subspaces of the Hardy space which are invariant under the backward shift. These “model spaces” are of the form with an inner function, and the compressions are called truncated Toeplitz operators. They have been formally introduced in [11]; see [8] for a more recent survey. Although classical Toeplitz matrices have often been a starting point for investigating truncated Toeplitz operators, the latter may exhibit surprising properties.
It thus seems natural to see whether an analogue of Szegö’s strong limit theorem can be obtained in this more general context. Viewed as truncated Toeplitz operators, the Toeplitz matrices act on model spaces corresponding to the inner functions , and Szegö’s theorem is about the asymptotical situation when . The natural generalization is then to consider a sequence of zeros in , and to let the truncations act on the model space corresponding to the finite Blaschke product associated to , .
Such a result has been obtained in [3]; it deals with the asymptotics of the determinant of a truncated Toeplitz operator. Let us note that in the case of classical Toeplitz operators and matrices one has different variants of Szegö’s Theorem, either in terms of the determinant of the truncation, or in terms of the trace, and one can pass from one to the other. However, this is no longer true in our generalized context, where the two different classes of results do not have a visible connection.
The purpose of this paper is to find an analogue of the trace type Szegö Theorem. We manage to obtain a complete result in the case when is not a Blaschke sequence. The Blaschke case seems to be less prone to an elegant solution, and we have only partial conclusions.
The technique we use is inspired by one of the approaches to the Szegö Theorem that is based on approximation by circulants (see for instance, [9]). In our case we use the analogue of circulants for truncated Toeplitz operators, namely elements in the so-called Sedlock algebras [12].
The plan of the paper is the following. After a rather extensive preliminary section that introduces the basic notions, we discuss the special case of finite dimensional model spaces. We introduce then the Sedlock algebras in Section 3, and prove a result important in its own right, Theorem 3.2, which gives an alternate identification of these algebras. Sedlock algebras on finite dimensional model spaces are briefly discussed in Section 4, after which Section 5 develops the approximation technique based on them. The main result, Theorem 6.1, is proved in Section 6. The last section discusses through some examples the problems that appear when considering Blaschke sequences.
1. Preliminaries
1.1. Model spaces
Let be the Hardy space of square integrable functions on the circle with negative Fourier coefficients equal to 0. We recall that a model space is a subspace of which is invariant for the backwards shift, and that every such space is of the form where is an inner function, i.e., an element of of modulus 1 almost everywhere. We write for orthogonal projection from onto
We will often make the supplementary assumption that . In this case is defined by
The reproducing kernels for at the points are the functions
[TABLE]
When has an angular derivative in the sense of Caratheodory at a point in , that is, when the nontangential limit of and exist in with the limit of in of module 1, then all functions in have a radial limit in , and the corresponding reproducing kernel belongs to . We have
[TABLE]
We also use the fact that
[TABLE]
(The last equality follows from the fact that all of the above terms are positive real numbers.)
1.2. Truncated Toeplitz operators
If , then the map is linear from the dense subspace to . When this map is bounded, it can be extended to a bounded linear operator on the whole , that will be denoted by and called a truncated Toeplitz operator. For one obtains the compressed shift, which we will denote by . The closed linear space of all bounded truncated Toeplitz operators on will be denoted by .
The function is called the symbol of the operator. It is known [11] that any operator in has a symbol in , which is unique in case . Such a symbol is called standard. Also, if we see that , so that the orthogonal complement of the constants in equals . Thus:
[TABLE]
and standard symbols can be uniquely written in the form , with and . Moreover, using the fact that for any inner function the map is an involution on one sees that
[TABLE]
and so we will write our standard symbol (uniquely) as with and .
For one defines . One can check easily that the operators (called modified compressed shifts) are unitary. It is proved in [11] that the modified compressed shifts belong to .
Suppose now that , and define ; is an automorphism of the unit disk. We set . The following result, that we will have the opportunity to use below, is Proposition 4.1 of [6].
Lemma 1.1**.**
The formula
[TABLE]
defines a unitary operator from to , and for any symbol we have
[TABLE]
1.3. Clark Measures
The following measures have been introduced by Clark [5]. For , the function has positive real part, and therefore, by Herglotz theorem, there exists a finite positive measure on such that
[TABLE]
where is the Poisson kernel. The measure is singular, and in case we have . A result of Alexandrov states that for every continuous function
[TABLE]
where is the normalized Lebesgue measure. We will often write instead of when there is a single inner function involved.
We note that the Clark measures are defined in the same way for any function in the unit ball of . In particular for the zero function , for every , is the normalized Lebesgue measure.
The next theorem combines results from [5] and [10].
Theorem 1.2**.**
Suppose that is an inner function, , and is defined by (1.3). Then any function has a radial limit almost everywhere with respect to , the operator defined by is unitary, and .
Suppose now that , . Define, for ,
[TABLE]
(By convention, in case , the corresponding factor will be .) The following lemma is well known; we provide a proof for completeness.
Lemma 1.3**.**
Fix , and consider for each the measure .
- (i)
If , then converges in the weak star topology to normalized Lebesgue measure.
- (ii)
If , then converges in the weak star topology to , where is the infinite Blaschke product with zeros .
Proof.
The sequence converges uniformly on every compact set of to the function , where is the zero function in case (i) and the infinite Blaschke product with zeros in case (ii). For and , the Poisson kernel is defined by . We have
[TABLE]
Since is dense in the space of continuous functions, we get that converges in the weak star topology to . Now the proof is finished since is the normalized Lebesgue measure when . ∎
The behavior of the Clark measures with respect to change of variable by an automorphism of the disc is given by the next lemma, whose proof is a simple change of variable in (1.3).
Lemma 1.4**.**
With the above notations, we have .
1.4. The Cauchy transform
For the next facts about Cauchy transforms we refer to [7]. If is a Borel measure on , its Cauchy transform is the analytic function on defined by
[TABLE]
The following lemma summarizes the properties of the Cauchy transform that we need.
Lemma 1.5**.**
Suppose is a Borel measure on . Then:
- (1)
* for all .* 2. (2)
* if and only if for some , where .*
Suppose , and each is repeated times, with a finite integer or infinite. We will denote by the linear span of and , with and . The next lemma is probably known, but we have not found an appropriate reference.
Lemma 1.6**.**
Suppose . Then is dense in .
Proof.
Suppose is a Borel measure on such that
[TABLE]
for all and . By replacing , if necessary, with and , we may assume that is real. We have then for all and . Since for , if it is not identically zero its zeros would have to satisfy the Blaschke condition. So , and then by Lemma 1.5 for some . Since is real, is real almost everywhere. Therefore and , which finishes the proof. ∎
If is defined by (1.5), then each of the functions belongs to for sufficiently large . This remark yields the next corollary.
Corollary 1.7**.**
Suppose , and is defined by (1.5). Then is dense in .
2. Finite dimensional model spaces
Let us suppose now that is a finite Blaschke product of order . In this case is of dimension and contains only rational functions with poles outside the closed unit disc (more precisely, in the reciprocals of the zeros of ); we have and . The measure is concentrated on the roots () of the equation , and is given by the formula
[TABLE]
The functions in as well as the standard symbols of TTOs have well defined values with respect to .
We will have the opportunity to use the next lemma, which completes (1.1).
Lemma 2.1**.**
Suppose . Then we have:
- (i)
[TABLE]
- (ii)
For all we have .
Proof.
(i) The second equality is just a computation, using the formula for . Taking absolute values, we deduce the first equality.
For the third equality, note that
[TABLE]
Differentiating with respect to , we obtain
[TABLE]
as required.
Part (ii) is a consequence of (i), once we note that for all and we have , and therefore
[TABLE]
For each the reproducing kernels , , form an orthogonal base of . The operator has as eigenvalues (), with corresponding eigenvectors .
Consider a measure concentrated on the points and define the operator by
[TABLE]
Then is a function of , and therefore belongs to . In particular, we will denote ; thus
[TABLE]
The next lemma gives more information about the unitary operators that have appeared in Lemma 1.1.
Lemma 2.2**.**
Suppose , , and the operator is defined by (1.2).
- (i)
For each ,
[TABLE]
where .
- (ii)
If , then
[TABLE]
where .
- (iii)
We have
[TABLE]
where
[TABLE]
Proof.
For we have
[TABLE]
which proves (i).
To prove (ii), we use (i) to check the action of the left hand side operator on the reproducing kernels. Thus
[TABLE]
(iii) is a consequence of (ii): if , then
[TABLE]
3. Sedlock algebras
Sedlock algebras have been introduced in [12], where it was shown that they are the only algebras contained in . The family of Sedlock algebras is indexed by a parameter . We will be interested only in , in which case the Sedlock algebra is defined to be the commutant of the unitary operator .
In [12, Proposition 3.2] Sedlock characterizes the algebra as the set of truncated Toeplitz operators with symbols of the form
[TABLE]
where . If we have , and thus Sedlock’s result yields the following Lemma.
Lemma 3.1**.**
Suppose . A bounded operator is in if and only if for some .
Using Theorem 1.2, one can connect the two descriptions of the Sedlock algebras, as shown by the next theorem.
Theorem 3.2**.**
Let be an arbitrary inner function satisfying . Suppose . Then the function has radial limits almost everywhere with respect to . If we denote the limit function by , then , and .
Proof.
The first part of the statement follows from Theorem 1.2, since . The operator defined by is unitary, and . Since , we have , and thus for some .
On the other hand, it follows from Proposition 3.2 of [12] that, when we write an operator as , we can identify as . So
[TABLE]
Thus
[TABLE]
which ends the proof of the theorem. ∎
Some consequences for operators in the Sedlock class can be immediately deduced.
Corollary 3.3**.**
With the above notations, if we decompose in its continuous and atomic parts, and the support of is the sequence , then:
- (i)
* is compact if and only if -almost everywhere, while .*
- (ii)
If is a positive real number, is in the class if and only if -almost everywhere and .
- (iii)
If is an integer and , then
[TABLE]
4. Sedlock algebras and finite Blaschke products
Let us suppose now that is a finite Blaschke product such that . Then, for , the measure is given by (2.1). As noted above, for each , is an eigenvector of associated to the eigenvalue . Therefore, if , Theorem 3.2 implies that
[TABLE]
If and , it follows from (4.1) and (2.2) that
[TABLE]
In particular,
[TABLE]
and therefore, using also (1.3),
[TABLE]
We may integrate with respect to to obtain some interesting consequences.
Lemma 4.1**.**
With the above notations, we have
[TABLE]
Proof.
For , we have . By (1.4), we get
[TABLE]
From (4.3) and Lemma 4.1 follows the next corollary.
Corollary 4.2**.**
With the above notations (including ), we have
[TABLE]
5. Approximating by circulants
In this section we will develop a procedure, in the case , for deriving properties of a truncated Toeplitz operator from a closely associated element of a Sedlock algebra. The idea comes from the case of classical Toeplitz matrices (see, for instance, [9, Chapter 4]) and it is based on an enlargement of the model space.
Fix , and let be a finite Blaschke product with and be a (general) standard symbol for a truncated Toeplitz on . Thus is of the form with and . Let be an inner function that is a multiple of ; that is, for some inner function . Obviously, is also a standard symbol for a truncated Toeplitz operator on (since ). We intend to show that, if we set
[TABLE]
then we can have good estimates for the difference between and the operator in . Notice that and that (since ).
We see that:
[TABLE]
and thus
[TABLE]
We can now show that the norms of the two operators on the right hand side of (5.1) do not depend on which inner function we choose. We will interpret these operators as operators on all of , rather than just on the subspace . We use throughout the computations below the fact that are all bounded functions.
We use repeatedly that and that This gives us that:
[TABLE]
But, it is clear that and so Thus:
[TABLE]
Now we use the fact that so that to obtain that:
[TABLE]
So is obtained by multiplying with the operator by a unitary operator. In particular, the norm (uniform or Schatten-von Neumann) of depends only on and and is independent of the choice of
In our analysis of the second operator, we simplify the notation by denoting so that . We have
[TABLE]
Now, using the fact that and that we see that So it is clear that Thus
[TABLE]
Next we notice that:
[TABLE]
Since we know that . But, an element of is a function which is orthogonal to and when we multiply such a function by a (bounded) element of we get an element of which is orthogonal to and is therefore orthogonal to Thus we can conclude that
[TABLE]
So, just as in the first case, we have obtained that any norm (uniform or Schatten-von Neumann) of is independent of the choice of . We summarize the conclusion of our argument in the following lemma.
Lemma 5.1**.**
Suppose , . If for some inner function , and , then and, for any , we have
[TABLE]
where is a finite constant independent of .
6. A Szegö theorem for non-Blaschke sequences
Suppose now that , . As in Section 1.3, define, for , .
The next theorem may be considered the central result of this paper; it gives a Szegö theorem for truncated Toeplitz operators.
Theorem 6.1**.**
Suppose , is defined as above, , and . Then
[TABLE]
If is real-valued, then for every continuous function on we have
[TABLE]
The proof of the theorem will use a series of intermediate results which have interest in themselves. The basic technique is introduced in the next lemma.
Lemma 6.2**.**
Fix , , assume , and denote by , , the roots of the equation . Suppose that for each we are given an atomic measure ; denote by the corresponding diagonal operator as defined by (2.2). Assume that
- (i)
* is weakly convergent to some measure .*
- (ii)
.
Then for any and we have
[TABLE]
Proof.
If , we define and for . Applying Lemma 5.1 for and we obtain that the trace norm is bounded by a constant independent of . Therefore, using condition (ii),
[TABLE]
Now, according to (4.2), we have
[TABLE]
Since , we have for all , and thus the last integral is , which by (i) converges to . ∎
Next, with a suitable assumption on the symbol, we eliminate the restriction .
Lemma 6.3**.**
Let , be as above, fixed, and as defined by (2.3). Suppose and . Then
[TABLE]
Proof.
Denote , so , Then for any we have
[TABLE]
We have, by Lemma 1.1 and Lemma 2.2 (iii)
[TABLE]
where
[TABLE]
Consider the sequence of measures . By Lemma 1.3 (i),
[TABLE]
On the other hand,
[TABLE]
where the last inequality is a consequence of Lemma 2.1 (ii).
The assumption on implies that . Therefore, applying Lemma 6.2,
[TABLE]
By Lemma 1.4, the last integral is precisely , which finishes the proof. ∎
The next step is to integrate with respect to in order to obtain a version of (6.1) for a restricted class of functions .
Lemma 6.4**.**
Let , be as above, , and . Then
[TABLE]
Proof.
By Lemma 6.3 we have for each
[TABLE]
On the other hand, from Lemma 4.1 it follows that
[TABLE]
Then (6.4) together with Lebesgue’s dominated convergence theorem imply that
[TABLE]
We may now go to the proof of the main theorem.
Proof of Theorem 6.1.
Suppose now and . Let be given. Corollary 1.7 implies that is also dense in . Next we choose and such that , where is the supremum norm; we assume also that .
Applying now Lemma 6.4 to , we see that there exists such that for we have
[TABLE]
Also, since for any , we have
[TABLE]
Using (4.4), we have
[TABLE]
Therefore
[TABLE]
and
[TABLE]
The above estimate proves formula (6.1).
Suppose now that is real valued and is continuous on . Note that is then a bounded self-adjoint operator with spectrum contained in . Let be a sequence of polynomials that converges to uniformly on .
By (6.1), for every we have
[TABLE]
But
[TABLE]
where on the last line we have used (6.5).
Since obviously
[TABLE]
letting proves (6.2). ∎
In the classical case of Toeplitz matrices, we have , , and . We obtain therefore a version of a classical Szegö limit theorem: if are truncated Toeplitz matrices corresponding to the symbol , then
[TABLE]
It is interesting to compare Theorem 6.1 with the main result in [3], where a formula is obtained for the asymptotics of . In the classical case the determinant and the trace versions of the Szegö limit theorem are closely connected, and one can deduce one version from the other. This seems not to be the case for general truncated Toeplitz operators.
7. Blaschke sequences
Theorem 6.1 concerns sequences that do not satisfy the Blaschke condition. It is possible to obtain Szegö results for Blaschke sequences, but these are less elegant and require supplementary hypotheses. First, Lemma 6.3 is true for a Blaschke sequence, provided we add the condition . Similarly, Lemma 6.4 is true if we assume that for almost all . As for the main Theorem 6.1, a new complication arises, since Lemma 1.6 is no longer true.. We do, however, have the following precise result; recall that the space is defined in section 1, before Lemma 1.6.
Theorem 7.1**.**
Suppose that is a Blaschke sequence (i.e. that ) and each is repeated times, with a finite integer. Let be given by (1.5) and . Suppose that, for some fixed , .
(1) If and if , then
[TABLE]
(2) If for almost all , then
[TABLE]
Unfortunately, it does not seem possible to give simple conditions that would characterize those sequences for which
[TABLE]
The next two examples suggest the intricacy of the problem. First we give an example of a Blaschke sequence for which (7.2) is satisfied.
Example 7.2**.**
Suppose is a sequence of points in obtained by choosing evenly distributed points on each circle of radius We have then
[TABLE]
and therefore the sequence is Blaschke.
Fix . For any there exists a such that and ; therefore, using Lemma 2.1
[TABLE]
and so, for any ,
[TABLE]
If we fix , and choose , then
[TABLE]
So in this case when , and thence , for any .
Example 7.3**.**
The second example exhibits the opposite behavior. We show that, for certain Blaschke sequences the hypothesis (7.2) is not satisfied, and, in the case where and the conclusion (7.1) is also false; that is:
[TABLE]
So, let be a real valued Blaschke sequence with We will add other hypotheses as necessary. Following the approximation procedure of Section 5 for the finite Blaschke product (where is defined by (1.5) and the remark after it), we set , and Then , , , and . Formula (5.1) then becomes
[TABLE]
From (4.3) and the fact that on the support of , we obtain
[TABLE]
Thus, for ,
[TABLE]
So, in order to achieve our purpose of showing that
[TABLE]
we have to prove that
[TABLE]
We next use [11, Section 5], where it is shown that
[TABLE]
Denote by the solutions to . Notice that, since is such a solution, . We have
[TABLE]
(since by (1.1)).
Using the usual formulas
[TABLE]
we obtain
[TABLE]
and
[TABLE]
We have , so , while , so . Thus we have arrived at the formula
[TABLE]
Now we begin putting hypotheses on the rest of the sequence We suppose that, and that for , which implies that
[TABLE]
so, if we assume that the tend sufficiently fast to 1, we may assume that .
To estimate the remaining sum, remember that by Lemma 2.1 (i) we have
[TABLE]
It follows that for fixed , increases to , while for fixed it increases on both half circles of as we are getting closer to 1.
Finally, we add the assumption that the sequence has been chosen so that for all belonging to the arc that connects and and contains . Then, for , , and so, by Lemma 2.1, .
Since for , we have
[TABLE]
Suppose is the next zero of going from towards 1 on the upper semicircle. Then , and, since , we must have
[TABLE]
But, using Lagrange’s formula, there is some point such that
[TABLE]
the last inequality being a consequence of . Therefore .
A similar argument can be used on the lower semicircle. Finally, since increases as we are getting closer to 1, we may conclude that for any .
Remember now that
[TABLE]
We have then, starting with (7.4),
[TABLE]
Therefore the inequality (7.3) is proved, which concludes the example.
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