Radial operators on polyanalytic Bargmann-Segal-Fock spaces
Egor A. Maximenko, Ana Mar\'ia Teller\'ia-Romero

TL;DR
This paper analyzes the structure of bounded radial operators on polyanalytic Fock spaces, revealing their algebraic decomposition and diagonalization properties, and characterizes the C*-algebra generated by radial Toeplitz operators.
Contribution
It provides a decomposition of the von Neumann algebra of radial operators and proves diagonalization of radial operators in true-polyanalytic Fock spaces, advancing understanding of their operator algebra structure.
Findings
Radial operators decompose into matrix sequences in $\\mathcal{F}_n$
Radial operators are diagonal in the Hermite polynomial basis in $\\mathcal{F}_{(n)}$
Explicit description of the C*-algebra generated by radial Toeplitz operators
Abstract
The paper considers bounded linear radial operators on the polyanalytic Fock spaces and on the true-polyanalytic Fock spaces . The orthonormal basis of normalized complex Hermite polynomials plays a crucial role in this study; it can be obtained by the orthogonalization of monomials in and . First, using this basis, we decompose the von Neumann algebra of radial operators, acting in , into the direct sum of some matrix algebras, i.e. radial operators are represented as matrix sequences. Secondly, we prove that the radial operators, acting in , are diagonal with respect to the basis of the complex Hermite polynomials belonging to . We also provide direct proofs of the fundamental properties of and an explicit description of the C*-algebra generated by Toeplitz…
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Radial operators on polyanalytic
Bargmann–Segal–Fock spaces
Egor A. Maximenko, Ana María Tellería-Romero
Abstract
The paper considers bounded linear radial operators on the polyanalytic Fock spaces and on the true-polyanalytic Fock spaces . The orthonormal basis of normalized complex Hermite polynomials plays a crucial role in this study; it can be obtained by the orthogonalization of monomials in and . First, using this basis, we decompose the von Neumann algebra of radial operators, acting in , into the direct sum of some matrix algebras, i.e. radial operators are represented as matrix sequences. Secondly, we prove that the radial operators, acting in , are diagonal with respect to the basis of the complex Hermite polynomials belonging to . We also provide direct proofs of the fundamental properties of and an explicit description of the C*-algebra generated by Toeplitz operators in , whose generating symbols are radial, bounded, and have finite limits at infinity.
AMS Subject Classification (2010): Primary 22D25; Secondary 30H20, 47B35.
Keywords: radial operator, polyanalytic function, Bargmann–Segal–Fock space, von Neumann algebra.
Dedicated to Nikolai L. Vasilevski, our guide in this area of mathematics,
on the occasion of his 70th birthday
1 Introduction and main results
The theory of bounded linear operators in spaces of analytic functions has been intensively developed since the 1980s. In particular, the general theory of operators on the Bargmann-Segal-Fock space (for the sake of brevity, we will say just “Fock space”) is explained in the book of Zhu [36]. Nevertheless, the complete understanding of the spectral properties is achieved only for some special classes of operators, in particular, for Toeplitz operators with generating symbols invariant under some group actions, see Vasilevski [34], Grudsky, Quiroga-Barranco, and Vasilevski [11], Dawson, Ólafsson, and Quiroga-Barranco [8]. The simplest class of this type consists of Toeplitz operators with bounded radial generating symbols. Various properties of these operators (boundedness, compactness, and eigenvalues) have been studied by many authors, see [20, 13, 37, 24]. The C*-algebra generated by such operators was explicitly described in [32, 12] for the nonweighted Bergman space, in [6, 15] for the weighted Bergman space, and in [10] for the Fock space. Loaiza and Lozano [21, 22] studied radial Toeplitz operators in harmonic Bergman spaces.
The spaces of polyanalytic functions, related with Landau levels, have been used in mathematical physics since 1950s; let us just mention a couple of recent papers: [14, 3]. A connection of these spaces with wavelet spaces and signal processing is shown by Abreu [1] and Hutník [16, 17]. Various mathematicians contributed to the rigorous mathematical theory of square-integrable polyanalytic functions. Our research is based on results and ideas from [5, 33, 30, 4, 2].
Hutník, Hutníková, Ramírez Ortega, Sánchez-Nungaray, Loaiza, and other authors [19, 26, 23, 29, 18] studied vertical and angular Toeplitz operators in polyanalytic and true-polyanalytic spaces, Bergman and Fock. In particular, vertical Toeplitz operators in the -analytic Bergman space over the upper half-plane are represented in [26] as matrices whose entries are continuous functions on , with some additional properties at [math] and .
Recently, Rozenblum and Vasilevski [27] investigated Toeplitz operators with distributional symbols and showed that Toeplitz operators in true-polyanalytic Fock spaces are equivalent to some Toeplitz operators with distributional symbols in the analytic Fock space.
In this paper, we analyze radial operators in Fock spaces of polyanalytic or true-polyanalytic functions. We denote by the Lebesque measure on the complex plane and by the Gaussian measure on the complex plane:
[TABLE]
In what follows, we work with the space and its subspaces, and denote its norm by . A very useful orthonormal basis in is formed by complex Hermite polynomials , ; see Section 2.
Given in , let be the subspace of consisting of all -analytic functions belonging to . It is known that is a closed subspace of ; moreover, it is a RKHS (reproducing kernel Hilbert space). We denote by the orthogonal complement of in .
For every in , let be the rotation operator acting in by the rule
[TABLE]
The family is a unitary representation of the group in the space . We denote by the commutant of in , i.e. the von Neumann algebra that consists of all bounded linear operators acting in that commute with for every in . In other words, the elements of are the operators intertwining the representation of the group . The elements of are called radial operators in .
In a similar manner, we denote by the rotation operators acting in and by the von Neumann algebra of radial operators in .
The principal tool in the study of is the following orthogonal decomposition of :
[TABLE]
Here the “truncated diagonal subspaces” are defined as the linear spans of with and . Another description of is given in Proposition 3.7.
The main results of this paper are explicit decompositions of the von Neumann algebras and into direct sums of factors. The symbol means that the algebras are isometrically isomorphic.
Theorem 1.1**.**
Let . Then consists of all operators belonging to that act invariantly on the subspaces , for . Furthermore,
[TABLE]
Theorem 1.2**.**
Let . Then consists of all operators belonging to that are diagonal with respect to the orthonormal basis . Furthermore,
[TABLE]
In particular, Theorems 1.1 and 1.2 imply that the algebra is noncommutative for , whereas is commutative for every in .
In Section 2 we recall the main properties of the complex Hermite polynomials . In Section 3 we give direct proofs of the principal properties of the spaces and . Section 4 contains some general remarks about unitary representations in RKHS, given by changes of variables. Section 5 deals with radial operators, describes the von Neumann algebra of radial operators in , and proves Theorems 1.1 and 1.2. Finally, in Section 6 we make some simple observations about Toeplitz operators generated by bounded radial functions and acting in the spaces and .
Another natural method to prove (1) and Theorems 1.1, 1.2 is to represent as a tensor product and to apply the Fourier transform of the group . We prefer to work with the canonical basis because this method seems more elementary.
Comparing our Theorem 1.1 with the main results of [26, 23, 29], we would like to point out three differences.
We study the von Neumann algebra of all radial operators, instead of C*-algebras generated by Toeplitz operators with radial symbols (such C*-algebras can be objects of study in a future). 2. 2.
The dual group of is the discrete group , therefore matrix sequences appear instead of matrix functions. 3. 3.
In [26, 23, 29], all matrices have the same order , whereas in our Theorem 1.1 the matrices have orders .
2 Complex Hermite polynomials
Most results of Sections 2 and 3 are well known to experts [5, 33, 2]. Nevertheless, our proofs are more direct than the ideas found in the bibliography.
Given a function , continuously differentiable in the -sense, we define and by
[TABLE]
The operators and are known as (nonnormalized) creation operators with respect to and , respectively. For every in , denote by the monomial function . Following Shigekawa [30, Section 7] we define the normalized complex Hermite polynomials as
[TABLE]
Notice that [30] defines complex Hermite polynomials without the factor . These polynomials appear also in Balk [5, Section 6.3]. Let us show explicitly some of them:
[TABLE]
For every in , we denote by the associated Laguerre polynomial. Recall the Rodrigues formula, the explicit expression, and the orthogonality relation for these polynomials:
[TABLE]
Lemma 2.1**.**
Let . Then
[TABLE]
Proof.
Apply Rodrigues formula (3) and the chain rule:
[TABLE]
Canceling the factor in both sides yields (6). ∎
Proposition 2.2**.**
For every in ,
[TABLE]
In other words,
[TABLE]
Proof.
Let , . Notice that . By (2) and (6),
[TABLE]
In the case when , we first notice that the operators and commute on the space of polynomial functions. Reasoning as above, but swapping the roles of and , we arrive at the second case of (7). Finally, with the help of (4), we pass from (7) to (8). Formula (8) can also be derived directly from (2), by applying mathematical induction and working with binomial coefficients. ∎
Denote by the normalized Laguerre function:
[TABLE]
Corollary 2.3**.**
For every in ,
[TABLE]
It is convenient to treat the family as an infinite table, and to think in terms of its columns or diagonals (parallel to the main diagonal). Given in and in , let be the subspace of generated by the first monomials in the diagonal with index :
[TABLE]
Proposition 2.4**.**
The family is an orthonormal basis of . This family can be obtained from by applying the Gram–Schmidt orthogonalization.
Proof.
-
The orthonormality is easy to verify by passing to polar coordinates and using (7) with the orthogonality relation (5).
-
The formula (8) tells us that the functions are linear combinations of with . Inverting these formulas, results a linear combination of with . So, for every in and every in ,
[TABLE]
Jointly with the orthonormality of , this means that the family is obtained from by applying the orthogonalization in each diagonal.
- Due to 2, it is sufficient to prove that the polynomials in and form a dense subset of . Notice that the set of polynomial functions in and coincides with the set of polynomial functions in and . Suppose that and is orthogonal to the polynomials for all in . Denote by the function and consider its Fourier transform:
[TABLE]
By the injective property of the Fourier transform, we conclude that vanishes a.e. As a consequence, also vanishes a.e. ∎
Remark 2.5**.**
The second part of the proof of Proposition 2.4 implies that for every in , every every in with ,
[TABLE]
Formula (11) means that the first elements in the diagonal of the table generate the same subspace as the first elements in the diagonal of the table . For example,
[TABLE]
In the following tables we show generators of (green) and (blue).
[TABLE]
Given in , we denote by the closure of the subspace of generated by the monomials , where :
[TABLE]
Proposition 2.4 implies the following properties of the “diagonal subspaces” , .
Corollary 2.6**.**
The sequence is an orthonormal basis of .
Corollary 2.7**.**
The space consists of all functions of the form
[TABLE]
Moreover, .
Corollary 2.8**.**
The space is the orthogonal sum of the subspaces :
[TABLE]
Here we show the generators of (green) and (blue):
[TABLE]
3 Bargmann–Segal–Fock spaces of polyanalytic functions
Fix in . Let be the space of -polyanalytic functions belonging to , and be the true--polyanalytic Fock space defined in [33] by
[TABLE]
Proposition 3.1**.**
Let . Then there exists a number such that for every in and every in with ,
[TABLE]
Proof.
Let be the polynomial in one variable of degree such that
[TABLE]
The existence and uniqueness of such a polynomial follows from the invertibility of the Hilbert matrix \bigl{[}1/(j+k+1)\bigr{]}_{j,k=0}^{n-1}. Put
[TABLE]
Let and , with . It is known [5, Section 1.1] that can be expanded into a uniformly convergent series of the form
[TABLE]
where are some complex numbers. Using the change of variables and the property (16), we obtain the following version of the mean value property of polyanalytic functions:
[TABLE]
After that, estimating by its maximum value, multiplying and dividing by , and applying the Schwarz inequality, we arrive at (15). ∎
Remark 3.2**.**
The constant , found in the proof of Proposition 3.1, is not optimal. The exact upper bound for the evaluation functionals in is given in Corollary 3.16.
Proposition 3.3**.**
* is a RKHS.*
Proof.
Let be a Cauchy sequence in . By Proposition 3.1, this sequence converges pointwise on and uniformly on compacts to a function . By [5, Corollary 1.8], the function is -analytic. On the other hand, let be the limit of the sequence in . Then for every compact in , the sequence of the restrictions converges in the -norm simultaneously to and to . Therefore coincides with a.e. and , i.e. . So, is a Hilbert space. The boundedness of the evaluation functionals is established in Proposition 3.1. ∎
Proposition 3.4**.**
The family is an orthonormal basis of .
Proof.
We already know that this family is contained in and is orthonormal. Let us verify the total property. Our reasoning uses ideas of Ramazanov [25, proof of Theorem 2].
Suppose that and for every , . We have to show that . By the decomposition of polyanalytic functions [5, Section 1.1], there exists a family of numbers such that
[TABLE]
where each of the inner series converges pointwise on and uniformly on compacts. For every in , we denote by the partial sum . Given , the sequence converges to uniformly on . For every in with , using the orthogonality on between and with , we obtain
[TABLE]
The functions and are integrable on with respect to the measure . Therefore their integrals over are the limits of the corresponding integrals over , as tends to infinity. Since , the coefficients must satisfy the following infinite system of homogeneous linear equations:
[TABLE]
Now we fix and restrict ourselves to the equations (18) with , which yields an system represented by the matrix , where , and
[TABLE]
By (12), is an upper triangular matrix with nonzero diagonal entries, hence is invertible. So, all coefficients are zero. ∎
Corollary 3.5**.**
* is a RKHS, and the sequence is an orthonormal basis of .*
We denote by and the orthogonal projections acting in , whose images are and , respectively. They can be explicitly defined in terms of the corresponding reproducing kernels:
[TABLE]
Corollary 3.6**.**
If , then
[TABLE]
where the series converges in the -norm and uniformly on the compacts. In particular, if , then
[TABLE]
For example, is an orthonormal basis of , and is an orthonormal basis of :
[TABLE]
Using Proposition 3.4, Corollary 2.6, and formula (11) gives
[TABLE]
Here is a description of the subspaces in terms of the polar coordinates.
Proposition 3.7**.**
For every in and every in with , the space consists of all functions of the form
[TABLE]
where is a polynomial of degree . Moreover,
[TABLE]
Proof.
Apply formula (11) and the orthonormality of the polynomials in the space . ∎
The decomposition of into a direct sum of “truncated diagonals” shown below follows from Proposition 3.4 and plays a crucial role in the study of radial operators.
Proposition 3.8**.**
[TABLE]
Let us illustrate Proposition 3.8 for with a table (we have marked in different shades of blue the basic functions that generate each truncated diagonal):
[TABLE]
The upcoming fact was proved by Vasilevski [33]. We obtain it as a corollary from Proposition 2.4 and Corollary 3.5.
Corollary 3.9**.**
The space is the orthogonal sum of the subspaces , :
[TABLE]
For every in , define by
[TABLE]
Definition (2) of the family implies that
[TABLE]
The next picture shows the action of on basic elements:
[TABLE]
Proposition 3.10**.**
* is an isometric isomorphism from onto .*
Proof.
Vasilevski [33] proved this fact by using the Fourier transform. Here we give another proof. Write as in (19). It is known [5, Corollary 1.9] that the derivative can be applied to the each term of the series. Therefore
[TABLE]
and . Also, using the decomposition into series, we see that is surjective. ∎
Now we are going to prove explicit formulas (26) and (27) for the reproducing kernels of and , respectively. These formulas were published by Balk [5, Section 6.3], without using the terminology of Laguerre polynomials, and by Askour, Intissar, and Mouayn [4], though they defined the space in a different (but equivalent) way. Our proof uses the operators and thereby continues the work of Vasilevski [33].
Lemma 3.11**.**
Let be a RKHS and be an ortonormal sequence in . Then the series converges.
Proof.
Denote by the reproducing kernel of . From the reproducing property and Bessel’s inequality,
[TABLE]
Lemma 3.12**.**
For every in and every in ,
[TABLE]
Proof.
It is well known that the reproducing kernel of a RKHS with an orthonormal basis can be derived from the series
[TABLE]
In our case, we use the orthonormal basis of the space . For a fixed in , put . So,
[TABLE]
From Lemma 3.11 we know that , thus the series converges in . Since is a bounded operator in , we can interchange it with the sum operator. Therefore
[TABLE]
Now we fix in , write as , and use the fact that . Following the same ideas as above, but swapping the roles of and , we factorize from the series:
[TABLE]
The last sum equals , which yields (23). ∎
Corollary 3.13**.**
For every in and every in ,
[TABLE]
Proposition 3.14**.**
The reproducing kernel of is given by
[TABLE]
Proof.
Using the definition of creation operators, formula (25) and identity (6) for Laguerre polynomials we have
[TABLE]
Corollary 3.15**.**
The reproducing kernel of is
[TABLE]
Proof.
Use (26) and the formula . ∎
Corollary 3.16**.**
For every in and every in ,
[TABLE]
The equality is achieved when .
Proof.
Indeed, . ∎
We finish this section with a couple of simple results about the Berezin transform and Toeplitz operators in . Given a RKHS over a domain with a reproducing kernel , the corresponding Berezin transform acts from to the space of bounded functions by the rule
[TABLE]
Stroethoff proved [31] that is injective for various RKHS of analytic functions, in particular, for . Engliš noticed [9, Section 2] that is not injective for various RKHS of harmonic functions. The reasoning of Engliš can be applied without any changes to -analytic functions with .
Proposition 3.17**.**
Let . Then is not injective.
Proof.
Let and be some linearly independent elements of such that . For example, and . Following [9, Section 2], consider given by
[TABLE]
With the help of the reproducing property we easily see that the function is the zero constant, although the operator is not zero. ∎
Given a measure space and a function in , we denote by the multiplication operator defined on by . If is a closed subspace of , then the Toeplitz operator is defined on by
[TABLE]
For and , we write just and , respectively.
Proposition 3.18**.**
Let and . Then a.e.
Proof.
For , this result was proven in [7, Theorem 4]. Let us recall that proof which also works for . The condition implies that for all in
[TABLE]
Since is a dense subset of , a.e. ∎
4 Unitary representations defined by changes of variables
This section states some simple general facts about unitary group representations in RKHS, defined by changes of variables. Suppose that is a measure space, is a RKHS over , with the inner product inherited from , is the reproducing kernel of , and is the orthogonal projection whose image is :
[TABLE]
Furthermore, let be a locally compact group, and be a group action in . So, for every in we have a “change of variables” , which satisfies . Suppose that the function , defined by the following rule, is a strongly continuous unitary representation of the group in the space :
[TABLE]
In other words, we suppose that , , and depends continuously on .
Proposition 4.1**.**
The following conditions are equivalent.
- (a)
* for every in .*
- (b)
* for every in .*
- (c)
The reproducing kernel is invariant under simultaneous changes of variables in both arguments:
[TABLE]
- (d)
* for every in and every in .*
Proof.
Obviously, (a) is equivalent to (b). Suppose (a) and prove (c):
[TABLE]
Suppose (c) and prove (d):
[TABLE]
Suppose (d) and prove (a). Let . Then
[TABLE]
Suppose that the conditions (a)–(d) of Proposition 4.1 are fulfilled. For every in we denote by the compression of the operator to the invariant subspace . Then is a unitary representation of in . Let us relate this unitary representation with the Berezin transform of operators.
Proposition 4.2**.**
Let and . Then
[TABLE]
Proof.
[TABLE]
Corollary 4.3**.**
Let such that for every in . Then the function is invariant under , i.e. for every in .
If is injective, then the inverse of the Corollary 4.3 is also true.
The rest of this section does not assume that has a reproducing kernel; it can be just a closed subspace of .
We are going to state some elementary results about the interaction of with Toeplitz operators. These results are well known for many particular cases; see [8, Lemma 3.2 and Corollary 3.3] for the case when is a Bergman space of analytic functions.
Lemma 4.4**.**
Let and . Then
[TABLE]
Proof.
Put . Given in ,
[TABLE]
Proposition 4.5**.**
Let and . Then
[TABLE]
Proof.
Use Lemma 4.4 and the assumption :
[TABLE]
Corollary 4.6**.**
Let such that for every in . Then commutes with for every in .
Corollary 4.7**.**
Suppose that the mapping defined by is injective. Let such that commutes with for every in . Then for every in the functions and coincide a.e.
5 Von Neumann algebras of radial operators
The methods of this section are similar to ideas from [37, 12, 24]. We start with two simple general schemes, stated in the context of von Neumann algebras, and then apply them to radial operators in , in , and in . Proposition 5.2 uses the concept of the (bounded) direct sum of von Neumann algebras [28, Definition 1.1.5].
Definition 5.1**.**
Let be a Hilbert space, be a self-adjoint subset of , and be a finite or countable family of nonzero closed subspaces of such that . We say that this family diagonalizes if the following two conditions are satisfied.
For each in and each in , there exists in such that , i.e. for every in . 2. 2.
For every , in with , there exists in such that .
Proposition 5.2**.**
Let , , and be like in Definition 5.1. Denote by the commutant of . Then
[TABLE]
and is isometrically isomorphic to .
Proof.
-
Since is a self-adjoint subset of , its commutant is a von Neumann algebra [35, Proposition 18.1].
-
Notice that if and , then . Indeed, for every in
[TABLE]
- Let , , . We are going to prove that . If and , then there exists in with , and
[TABLE]
which implies that . Since , the vector expands into the series of the form with . For every in ,
[TABLE]
Thus, .
- Now suppose that and for every . Then for every in , in , and in ,
[TABLE]
In general, if in , then with some in , and
[TABLE]
- Using (32) we are going to prove that is isometrically isomorphic to . Given in , for every in we denote by the compression of onto the invariant subspace . Then the family belongs to , and .
Conversely, given a bounded sequence with in , we put
[TABLE]
Then for every in , thus . Thereby we have constructed isometrical isomorphisms between and . ∎
Proposition 5.2 implies that the von Neumann algebra generated by consists of all operators that act as scalar operators on each , and can be naturally identified with .
Proposition 5.3**.**
Let , , and be like in Definition 5.1, and be a closed subspace of invariant under . For every in , denote by the compression of onto the invariant subspace , and put
[TABLE]
Then
[TABLE]
and the family diagonalizes .
Proof.
Denote by the orthogonal projection that acts in and has image . The condition that is invariant under means that . By (32), for every in the subspace is contained in and therefore coincides with . This easily implies (33).
If and , then . So, the eigenvalues coincide with for every in .
If and , then there exists in such that , which means that . ∎
Radial operators in
For each in , denote by the rotation operator acting in :
[TABLE]
The family is a unitary representation of the group in . Notice that we are in the situation of Section 4, with , , , , .
Denote by the set of all radial operators acting in :
[TABLE]
Since the set is an autoadjoint subset of , its commutant is a von Neumann algebra.
Lemma 5.4**.**
The family diagonalizes the collection in the sense of Definition 5.1.
Proof.
If and , then
[TABLE]
Indeed, for every with the basic function is an eigenfunction of associated to the eigenvalue :
[TABLE]
and by Corollary 2.6 the functions with form an orthonormal basis of . Another way to prove (35) is to use Corollary 2.7.
If and , then for many values of , for example, for or for with any irrational . ∎
Proposition 5.5**.**
The von Neumann algebra consists of all operators that act invariantly on for every in , and is isometrically isomorphic to .
Proof.
This is a consequence of Proposition 5.2 and Lemma 5.4. ∎
Now we will describe all radial operators of finite rank.
Remark 5.6**.**
It is well known that every linear operator of a finite rank , acting in a Hilbert space , can be written in the form
[TABLE]
where , and are some orthonormal lists of vectors in .
Corollary 5.7**.**
Let and such that the rank of is . Then is radial if and only if there exist in such that has the form (37), where , , are like in Remark 5.6, and additionally for every in .
Proof.
This is a simple consequence of Proposition 5.5. Suppose that is radial. For every in let be the compression of to . There is only a finite set of such that . Apply Remark 5.6 to each of the nonzero operators and join the obtained decompositions. ∎
Following Zorboska [37], we will describe radial operators in term of the “radialization” defined by
[TABLE]
where is the normalized Haar measure on . The integral is understood in the weak sense, i.e. the operator is actually defined by the equality of the corresponding sesquilinear forms:
[TABLE]
Making an appropriate change of variables in the integral and using the invariance of the measure , we see that . This immediately implies the following criterion of radial operators in terms of the radialization.
Proposition 5.8**.**
Let . Then if and only if .
Radial operators in
Let . Obviously, the reproducing kernel of , given by (27), is invariant under simultaneous rotations in both arguments:
[TABLE]
Therefore, by Proposition 4.1, is invariant under rotations, and . For every in , we denote by the compression of onto the space . In other words, the operator acts in and is defined by (34). The family is a unitary representation of in . Let be the von Neumann algebra of all bounded linear radial operators acting in .
Denote by the following direct sum of matrix algebras:
[TABLE]
The elements of are matrix sequences of the form , where if , if , and
[TABLE]
Now we are ready to prove Theorem 1.1.
Proof of Theorem 1.1..
By Propositions 5.2, 5.3 and formula (20), is isometrically isomorphic to the direct sum of , with . Using the orthonormal basis of the space , we represent linear operators on this space as matrices. Define by
[TABLE]
Then is an isometrical isomorphism. ∎
Similarly to Corollary 5.7, there is a simple description of radial operators of finite rank acting in . Of course, now .
By Corollary 4.3, if , then is a radial function. For , the Berezin transform is injective. So, if and the function is radial, then . For , there are nonradial operators with radial Berezin transforms.
Example 5.9**.**
Let . Define , , and like in the proof of Proposition 3.17. Then is the zero constant. In particular, is a radial function. On the other hand, , the subspace is not invariant under , and thus is not radial.
Radial operators in
Let . By Proposition 4.1 and formula (26), the subspace is invariant under the rotations for all in . Denote the corresponding compression of by . Let be the von Neumann algebra of all radial operators in .
Proof of Theorem 1.2.
[TABLE]
By Propositions 5.2, 5.3 and formula (40), consists of the operators that act invariantly on , , i.e. are diagonal with respect to the basis . Therefore the function , defined by
[TABLE]
is an isometric isomorphism. ∎
Similarly to Corollary 5.7, there is a simple description of radial operators of finite rank acting in .
6 Radial Toeplitz operators in polyanalytic spaces
A measurable function is called radial if for every in the equality is true for a.e. in . If , then this condition means that for every in .
Given a function in , let be its extension defined on as
[TABLE]
It is easy to see that a function in is radial if and only if there exists in such that .
By Lemma 4.4, the multiplication operator , acting in , is radial. Let us compute the matrix of this operator with respect to the basis . Put
[TABLE]
Passing to the polar coordinates and using (10) we get
[TABLE]
Proposition 6.1**.**
Let . Then , and
[TABLE]
Proof.
Use the fact that is radial and the orthogonality of the “diagonal subspaces”. Then apply the definition of . ∎
Proposition 6.2**.**
Let . Then the opeator is radial if and only if the function is radial.
Proof.
Apply Proposition 3.18 and Corollaries 4.6, 4.7. ∎
Proposition 6.3**.**
Let . Then , the operator is diagonal with respect to the orthonormal basis , and the sequence of the corresponding eigenvalues can be computed by
[TABLE]
Proof.
From Corollary 4.6 we get . Due to Proposition 6.1 and Theorem 1.2,
[TABLE]
Given a class of generating symbols, we denote by the C*-subalgebra of generated by the set . Let be the space of all radial bounded functions on , and be the space of all radial bounded functions on having a finite limit at infinity.
We are going to describe the algebra .
Lemma 6.4**.**
Let and . Then
[TABLE]
Proof.
For each , we write explicitly by (9) and (4), then apply simple upper bounds:
[TABLE]
Then,
[TABLE]
and the last expression tends to [math] as tends to . ∎
The following lemma and proposition are similar to [34, Lemma 7.2.3 and Theorem 7.2.4].
Lemma 6.5**.**
Let , , and . Then
[TABLE]
In particular,
[TABLE]
Proof.
- First, suppose that and . For every and ,
[TABLE]
Let . Using the assumption that as , we choose such that the second summand is less than . After that, applying Lemma 6.4 with this fixed , we make the first summand less than .
-
If , , then we obtain by applying the Schwarz inequality and the result of the first part of this proof.
-
For general in , we rewrite in the form . Since
[TABLE]
the limit relation (44) follows from the result of the second part of this proof. ∎
Proposition 6.6**.**
The C-algebra is isometrically isomorphic to .*
Proof.
Recall that is an isometrical isomorphism defined by (41). By Proposition 6.3, , where
[TABLE]
So, is isometrically isomorphic to the C*-subalgebra of generated by the set . By Lemma 6.5, . Our objective is to show that the C*-subalgebra of generated by coincides with . The space may be viewed as the C*-algebra of the continuous functions on the compact . The set is a vector subspace of which contains the constants and is closed under the pointwise conjugation. In order to apply the Stone–Weierstrass theorem, we have to prove that the set separates the points of . For every in , define to be the characteristic function . Then
[TABLE]
Let , . If for all , then for all
[TABLE]
which is not true. So, the set separates and .
Now let and . Put . Then , but . So, the set separates and . ∎
Recall that is defined by (39).
Proposition 6.7**.**
Let . Then , and the -th component of the sequence is the matrix
[TABLE]
Proof.
Apply Corollary 4.6 and Proposition 6.1. ∎
Let be the C*-subalgebra of that consists of all matrix sequences that have scalar limits:
[TABLE]
Proposition 6.8**.**
.
Proof.
Follows from Lemma 6.5. ∎
We finish this section with a couple of conjectures.
Conjecture 6.9**.**
The C-algebra is isometrically isomorphic to the C*-algebra of bounded square-root-oscillating sequences.*
The concept of square-root-oscillating sequences and a proof of Conjecture 6.9 for can be found in [10].
Conjecture 6.10**.**
.
Various results, similar to Conjecture 6.10, but for Toeplitz operators in other spaces of functions or with generating symbols invariant under other group actions, were proved by Loaiza, Lozano, Ramírez Ortega, Sánchez Nungaray, González-Flores, López-Martínez, and Arroyo-Neri [22, 26, 23, 29].
Acknowledgements
The authors are grateful to the CONACYT (Mexico) scholarships and to IPN-SIP projects (Instituto Politécnico Nacional, Mexico) for the financial support. This research is inspired by many works of Nikolai Vasilevski. We also thank Jorge Iván Correo Rosas for discussions of the proof of Proposition 3.4.
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