Matrix valued truncated Toeplitz operators: basic properties
Rewayat Khan, Dan Timotin

TL;DR
This paper investigates matrix valued truncated Toeplitz operators acting on vector-valued model spaces, generalizing block Toeplitz matrices, and provides characterizations and symbol descriptions for these operators.
Contribution
It offers a characterization of matrix valued truncated Toeplitz operators and identifies symbols that produce the zero operator, extending scalar results to the matrix case.
Findings
Characterization of matrix valued truncated Toeplitz operators
Identification of symbols producing the zero operator
Extension of scalar case results to matrix-valued operators
Abstract
Matrix valued truncated Toeplitz operators act on vector-valued model spaces. They represent a generalization of block Toeplitz matrices. A characterization of these operators analogue to the scalar case is obtained, as well as the determination of the symbols that produce the zero operator.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHolomorphic and Operator Theory · Algebraic and Geometric Analysis · Advanced Topics in Algebra
Matrix valued truncated Toeplitz operators: basic properties
Rewayat Khan
Abdus Salam School of Mathematical Sciences, GC University, Lahore, Pakistan
and
Dan Timotin
Institute of Mathematics Simion Stoilow of the Romanian Academy, Calea Grivitei 21, Bucharest, Romania
Abstract.
Matrix valued truncated Toeplitz operators act on vector-valued model spaces. They represent a generalization of block Toeplitz matrices. A characterization of these operators analogue to the scalar case is obtained, as well as the determination of the symbols that produce the zero operator.
Key words and phrases:
truncated Toeplitz operator, model space, inner function, block matrix
1991 Mathematics Subject Classification:
Primary 47B35, 47A45, Secondary 47B32, 30J05
1. Introduction
The Toeplitz operators are compressions of multiplication operators on the space to the Hardy space . 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.
A great deal of attention in the last decade has been attracted by certain generalizations of Toeplitz matrices, 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 [13]; see [10] for a more recent survey. Although classical Toeplitz matrices have often been a starting point for investigating truncated Toeplitz operators, the latter have a much richer and more interesting theory.
In the theory of contractions on a Hilbert space, these model spaces are the scalar case of a more general construction, which provides functional models for arbitrary completely nonunitary contractions. In particular, it makes sense to consider matrix-valued innner functions and the associated model space , with a finite dimensional Hilbert space.
We develop below the basics of the corresponding matrix-valued truncated Toeplitz operators, which are compressions to of multiplications with matrix-valued functions on . From an alternate point of view, these operators are generalizations of finite block Toeplitz matrices. With respect to the exposition in [13], one sees that different new questions have to be addressed, mostly related to the noncommutativity of matrices.
The structure of the paper is the following. After a section of general preliminaries about spaces of vector and matrix valued functions, we give a primer of the properties of the vector-valued model space. Matrix-valued truncated Toeplitz operators are introduced in Section 4, where we discuss the main specific difficulties that appear. The next two sections contain the main results of the paper: two intrinsic characterizations of these operators and the identification of symbols that correspond to the null operator. In the final section we determine a class of finite rank matrix-valued truncated Toeplitz operators.
2. Preliminaries
Let denote the complex plane, the unit disc, the unit circle. Throughout the paper will denote a fixed Hilbert space, of finite dimension , and the algebra of bounded linear operators on , which may be identified with matrices. Part of the development below may be carried through for an infinite dimensional Hilbert space; we will however restrict ourselves to , avoiding certain delicate problems of convergence.
The space is defined, as usual, by
[TABLE]
endowed with the inner product
[TABLE]
If (i.e ) then consists of scalar-valued functions and is denoted by .
The space
[TABLE]
acts on by means of multiplication: to we associate the operator defined by .
By viewing as a Hilbert space (endowed with the Hilbert–Schmidt norm), one can also consider the space , which may be identified with matrices with all the entries in . In particular, . Alternately, we may view also as a space of square summable Fourier series with coefficients in .
The Hardy space is the subspace of formed by the functions with vanishing negative Fourier coefficients; it can be identified with a space of -valued functions analytic in , from which the boundary values can be recovered almost everywhere through radial limits. One can also view as the direct sum of standard spaces. We have an orthogonal decomposition
[TABLE]
Let denote the forward shift operator on ; it is the restriction of to . Its adjoint (the backward shift) is the operator
[TABLE]
One sees easily that is precisely the orthogonal projection onto the space of constant functions.
An inner function will be an element whose boundary values are almost everywhere unitary operators in . The following lemma is a consequence of more general results about factorization of analytic operator valued functions (see [14]).
Lemma 2.1**.**
If is an inner function, is a bounded analytic function, and is constant, then is also constant.
We will also use the following simple result.
Lemma 2.2**.**
Suppose , and for any . Then there exists such that .
Proof.
Let be an orthonormal basis in . Then we may take as the matrix having as columns . ∎
The model space associated to , denoted by , is defined by ; the orthogonal projection onto will be denoted by . The properties of the model space are familiar to many analysts in the scalar case. On the other hand, the vector valued version is less widely known (despite playing an important role in the Sz.-Nagy–Foias theory of contractions [14]); the next section will be a primer of its main properties.
From the point of view of the theory of contractions, the spaces represent models for contractions with and strongly. We will not pursue this point of view, which is extensively developed in [14]; rather, we will discuss the model space as an intrinsic functional object.
3. Properties of the model space
For the development in this section we refer to [8], where the context is that of model spaces for completely nonunitary contractions. We will always suppose that the inner function is pure, which means that .
The model space is a vector valued reproducing kernel Hilbert space; its reproducing kernel function, which takes values in , is
[TABLE]
This means that for any we have , and, if , then
[TABLE]
If we define the new function . Then is inner if and only if is inner. In this case the operator defined by
[TABLE]
is unitary and ; thus . The adjoint of is given by
[TABLE]
We have already met a class of elements in , namely the functions for . Another related family is obtained by transporting through the reproducing kernels in . So we define, for , ; computations give
[TABLE]
The model operator is defined by the formula
[TABLE]
The adjoint of is given by
[TABLE]
it is the restriction of the left shift in to the -invariant subspace . We will also use the formula
[TABLE]
The action of is more precisely described if we introduce the following subspaces of (the defect spaces of in the terminology of [14]):
[TABLE]
Then the following relations hold:
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
From (3.6) it follows that there are operators , such that
[TABLE]
Since , , and , we may define the operator by
[TABLE]
The next result is the analog of [13, Lemma 2.2].
Lemma 3.1**.**
For and constant functions in we have
[TABLE]
Proof.
Since , we have
[TABLE]
For the second equality, we use to obtain
[TABLE]
4. Matrix valued truncated Toeplitz operators
Suppose is a fixed pure inner function. Since the space is spanned by the functions , , , which are bounded, it follows that the subspace of all bounded functions in is dense in .
Suppose now that . Consider the linear map , defined on . In case it is bounded, it uniquely determines an operator in , denoted by , and called a matrix-valued truncated Toeplitz operator (MTTO). The function is then called a symbol of the operator. We will usually drop the superscript , as we consider a fixed inner function. We denote by the space of all MTTOs on the model space .
In the particular case , the MTTOs obtained are actually familiar objects, namely block Toeplitz matrices of dimension , in which the entries are matrices of dimension . They have have been extensively studied in linear algebra and related areas (see, for instance, [4]).
It is immediate that
[TABLE]
so is a selfadjoint linear space.
The operator is a simple example of a MTTO; it is obtained by taking . This example is rather special because the symbol is scalar-valued.
Obviously MTTOs may be viewed as matrix valued analogues of the scalar truncated Toeplitz operators introduced by Sarason in [13]. However, that theory cannot be extended smoothly, with analogous proofs; there are several difficulties that one encounters from the very beginning and that we will point out next.
First, although the space is invariant with respect to , it is not invariant for for a general analytic , and consequently is not invariant with respect to ; that is, we do not have the relation . This remark is the main source of difficulties in extending the theory from the scalar to the matrix valued case, so it is useful to illustrate it by a simple example.
Example 4.1**.**
Take , and
[TABLE]
Then
[TABLE]
So
[TABLE]
This difficulty does not appear in an important particular case. It is easy to prove that if and there exists such that
[TABLE]
then is invariant with respect to . (In particular, this happens when commutes with .) Then and therefore . It follows that , and therefore .
According to the lifting commutant theorem of Sz-Nagy and Foias (see [14, Chapter VI]), the converse is also valid; namely, if and , then there exists , even in , such that (4.2) is valid and . A similar result holds by passing to the adjoint and using (4.1). The next theorem yields then the first large class of MTTOs.
Theorem 4.2**.**
The linear space is contained in .
Even in the scalar case, the inclusion is in general strict. A simple argument is the fact that, as noted above, the operators in always have bounded symbols, which is known not to be in general the case (see [2, 3]).
Another difference from the scalar valued case stems from the nonexistence of a canonical conjugation. Remember that a conjugation on a Hilbert space is a conjugate-linear, isometric and involutive map. If is a conjugation, then a bounded linear operator is called -symmetric if (see [9]).
In the scalar case there exists a canonical conjugation with respect to which all truncated Toeplitz operators are symmetric (see [13]). This is no longer true in our case; actually, it follows from results in [5] that the model operator is complex symmetric if and only if there exists a conjugation on , with the property that for all the matrix is -symmetric (or, equivalently, is -symmetric a.e on ). In that case on defined by is a conjugation on , that leaves invariant, and is -symmetric. However, even if such a conjugation exists, not all MTTOs are -symmetric. For instance, one can check in Example 4.1 that defined on by is a conjugation such that is -symmetric for all , but is not symmetric with respect to the corresponding . The most we can obtain is the following statement, whose proof is straightforward.
Theorem 4.3**.**
Let be is a conjugation on , and . Suppose that a.e on and are -symmetric a.e on , and . Then is -symmetric.
5. Characterization of Matrix Valued Truncated Toeplitz Operators
We obtain characterizations of MTTOs similar to those obtained in the scalar case by Sarason in [13, Theorem 4.1 and 8.1]. We start by recalling that for we have , and therefore
[TABLE]
This useful formula is not true in the vector valued context; however, the next lemma provides a useful replacement.
Lemma 5.1**.**
If then
[TABLE]
Proof.
Since , we have . Therefore
[TABLE]
Theorem 5.2**.**
The bounded operator on belongs to if and only if
[TABLE]
for some operators from to .
Proof.
Suppose that A is a bounded operator on that satisfies (5.2). We have then for any positive integer
[TABLE]
and, adding for ,
[TABLE]
Take ; then
[TABLE]
Since strongly as we obtain
[TABLE]
or
[TABLE]
Suppose now , with . Then and, according to (3.7), . Similarly, if , with , then , whence
[TABLE]
Define then by
[TABLE]
Then
[TABLE]
Using the formula for , this becomes
[TABLE]
Therefore , as claimed.
Conversely, suppose that , with .For we have
[TABLE]
According to (5.1), the first term in (5.5) is
[TABLE]
Using the operator defined by (3.10), we have
[TABLE]
where .
Similarly for , which is also analytic,
[TABLE]
with . Using (5.6) and (5.7) in (5.5), we obtain
[TABLE]
which ends the proof of the theorem. ∎
Remark 5.3**.**
The proof actually shows that for the MTTO with the operators can be obtained as
[TABLE]
Remark 5.4**.**
An application of the unitary operator defined by (3.1) produces from Theorem 5.1 an alternate necessary and sufficient condition for the bounded operator to belong to namely
[TABLE]
for some operators from to .
Indeed, one has to consider the operator ; then simple computations show that if and only if , and satisfies (5.2) on if and only satisfies (5.9) on .
As in the scalar case, one obtains from Theorem 5.2 a characterization of MTTOs by shift invariance. For a bounded operator on we say that is shift invariant if
[TABLE]
where is the associated quadratic form on , defined by for .
Since if and only if , it follows from (3.4) that this is equivalent to , or to . If , then . Therefore is dense in , and the shift invariance condition (5.10) can be checked only for .
Theorem 5.5**.**
A bounded operator A on belongs to if and only if is shift invariant.
Proof.
Suppose that , so for some . For we have
[TABLE]
From it follows that . Therefore
[TABLE]
Conversely, suppose that the bounded operator on is shift invariant. We will prove that it satisfies relation (5.9). Denote . If , then , and
[TABLE]
By the polarization identity we have for . Thus the compression of to is the zero operator, or
[TABLE]
Using (3.9), we obtain
[TABLE]
Therefore satisfies (5.9), so . ∎
Corollary 5.6**.**
The space is closed in the weak operator topology.
Proof.
Suppose the net converges weakly to . For we have, by Theorem 5.5,
[TABLE]
Passing to the limit it follows that
[TABLE]
and the proof is finished by applying again Theorem 5.5. ∎
Remark 5.7**.**
Theorem 5.5 allows us to obtain certain other classes of operators in . Suppose first that , and consider defined by . From (3.5) it follows that then and that . Therefore, if , then
[TABLE]
Thus is shift invariant, hence in by Theorem 5.5. The operators have finite rank; we will obtain a more general family of finite rank MTTOs in Section 7.
Further on, the operator
[TABLE]
is also in . The operators are called modified shifts. For a contraction, they are precisely the perturbations of considered in [8] (and, more generally, in [1]). The case in which is unitary has been investigated at length in [11]; one obtains then vectorial analogues of the Clark unitary operators introduced in [6].
6. Condition for
We start with the following statement, similar to the scalar case.
Lemma 6.1**.**
If then .
Proof.
Suppose , with , and . Then
[TABLE]
Obviously . On the other side, if we take any , then
[TABLE]
Therefore . ∎
We are interested to obtain the converse of this result. A first step is the next lemma.
Lemma 6.2**.**
Suppose .
- (i)
If , then for some .
- (ii)
If , then for some .
Proof.
Clearly it is enough to prove (i), since (ii) follows then by passing to the adjoint.
For any the function , and therefore
[TABLE]
The function satisfies then the hypothesis of Lemma 2.2. Therefore there exists such that
[TABLE]
or, noting that ,
[TABLE]
and . ∎
The next result is the desired converse of Lemma 6.1.
Theorem 6.3**.**
If , then there exist such that .
Proof.
Write , with . Applying Theorem 5.2, it follows (see also Remark 5.3) that if is defined by (3.10) and are given by (5.8), then
[TABLE]
Therefore the range of is also contained in , so
[TABLE]
Consider the map defined by
[TABLE]
being multiplication by the constant operator . We claim that is one-to-one. Indeed, suppose . Since is invertible from to , it follows that , and so
[TABLE]
for all . In particular,
[TABLE]
Therefore . From Lemma 2.2 it follows then that
[TABLE]
for some . If is not identically 0, this contradicts Lemma 2.1.
Being a one-to-one map between spaces of the same dimension , is also onto. Therefore there exists a constant matrix such that
[TABLE]
and thus
[TABLE]
Recall now from (6.2) that . On the other hand, the values of are constant functions, and so
[TABLE]
It follows then from (6.3) that
[TABLE]
or
[TABLE]
for any . By Lemma 2.2 there exists such that .
In particular, , and therefore, since , we also have . Applying Lemma 6.2 (ii), it follows that there exists such that . Then
[TABLE]
which finishes the proof of the theorem. ∎
As a corollary, we show that every MTTO has a symbol in a certain class. Denote by the orthogonal complement of in endowed with the Hilbert–Schmidt norm. It is easy to see that in a given basis the matrices of functions in are characterized by the fact that the columns are functions in .
Corollary 6.4**.**
For any there exist such that . If also satisfy , then , with .
Proof.
Since , the first assertion follows by decomposing accordingly and using Theorem 6.3.
For the second part of the corollary, since
[TABLE]
and , it is enough to show that
[TABLE]
Suppose then that the functions , satisfy
[TABLE]
But we have
[TABLE]
and
[TABLE]
Comparing the last equations, we obtain that for some . Similarly, for some . Now, since , it follows that the constant matrix is in .
Suppose . Then there are nonzero functions such that , or
[TABLE]
Since the left hand side is coanalytic and the right hand side is analytic, both must be constant (and nonzero). Thus is constant, which contradicts Lemma 2.1. Therefore , whence (6.4) is satisfied. ∎
It is well known (see, for instance, [12, Chapter 2]), that the space is finite dimensional if and only if is a finite Blaschke–Potapov product. In this case we may use the previous corollary to obtain the dimension of the space .
Corollary 6.5**.**
If , then .
Proof.
First, it is immediate that . Consider then the linear map defined by
[TABLE]
According to Corollary 6.4, is onto, while
[TABLE]
The proof is finished by noting that and . ∎
7. A class of finite rank operators
As noted in Section 3, for any we have and . Therefore the matrix valued analytic functions and may be considered as bounded operators from to . To avoid any confusion, we will denote these operators by ; therefore . With these notations, the relations in Lemma 3.1 become equalities between operators from to :
[TABLE]
We obtain then a class of finite rank operators in .
Theorem 7.1**.**
For any and the operators and have rank equal to the rank of and belong to .
Proof.
Obviously it suffices to consider the first operator. We apply Theorem 5.2. Assuming and using (7.1), we obtain
[TABLE]
But the range of is contained in , and is invertible on ; if we denote that inverse by , we have , , and
[TABLE]
Equation (5.2) is therefore satisfied by taking , . The proof in the case is concluded by invoking Theorem 5.2. For , we may note that and weakly when , and use Corollary 5.6.
The assertion concerning the rank is left to the reader. ∎
We have thus obtained a class of finite rank MTTOs. For , they are precisely the operators defined in Remark 5.7.
Remark 7.2**.**
In case has rank 1, say , we have
[TABLE]
and we obtain a family of rank one operators similar to the scalar case. As in the scalar case, we may obtain supplementary operators of rank one in case and have limits in when tends nontangentially to a point on the unit circle. One can show that this is equivalent to the conditions
[TABLE]
Moreover, this procedure allows one to obtain all rank one operators in . The proof is rather tedious and will be presented elsewhere.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] J.A. Ball, A. Lubin, On a class of contractive perturbations of restricted shifts, Pacific J. Math. 63 (1976), 309–323.
- 2[2] A. Baranov, R. Bessonov, and V. Kapustin, Symbols of truncated Toeplitz operators, J. Funct. Anal. 259 (2010), 2673–2701.
- 3[3] A. Baranov, I. Chalendar, E. Fricain, J. Mashreghi, and D. Timotin, Bounded symbols and reproducing kernels thesis for truncated Toeplitz operators, J. Funct. Anal. 261 (2011), 3437–3456.
- 4[4] A. Böttcher, B. Silbermann, Introduction to Large Truncated Toeplitz Matrices , Universitext. Springer-Verlag, New York, 1999.
- 5[5] N. Chevrot, E. Fricain, D. Timotin, The characteristic function of a complex symmetric contraction, Proc. Amer. Math. Soc. 135 (2007), 2877–2886.
- 6[6] D.N. Clark, One dimensional perturbations of restricted shifts, J. Analyse Math. 25 (1972), 169–191.
- 7[7] J.A. Cima, S.R. Garcia, W.T. Ross, W.R Wogen, Truncated Toeplitz operators: spatial isomorphism, unitary equivalence, and similarity, Indiana Univ. Math. J. 59 (2010), 595–620.
- 8[8] P. A. Fuhrmann, On a class of finite dimensional contractive perturbations of restricted shift of finite multiplicity, Israel J. Math. 16 (1973), 162–175.
