Quantum harmonic analysis on lattices and Gabor multipliers
Eirik Skrettingland

TL;DR
This paper develops a quantum harmonic analysis framework on lattices that generalizes classical harmonic analysis and applies to Gabor multipliers, providing new theoretical tools for time-frequency analysis.
Contribution
It introduces a novel quantum harmonic analysis on lattices, extending classical results and connecting to Gabor multipliers in time-frequency analysis.
Findings
Established convolution and Fourier transform frameworks for operators on lattices.
Proved analogues of classical harmonic analysis theorems in the quantum setting.
Unified Gabor multipliers within this quantum harmonic analysis framework.
Abstract
We develop a theory of quantum harmonic analysis on lattices in . Convolutions of a sequence with an operator and of two operators are defined over a lattice, and using corresponding Fourier transforms of sequences and operators we develop a version of harmonic analysis for these objects. We prove analogues of results from classical harmonic analysis and the quantum harmonic analysis of Werner, including Tauberian theorems and a Wiener division lemma. Gabor multipliers from time-frequency analysis are described as convolutions in this setting. The quantum harmonic analysis is thus a conceptual framework for the study of Gabor multipliers, and several of the results include results on Gabor multipliers as special cases.
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Quantum harmonic analysis on lattices and Gabor multipliers
Eirik Skrettingland
Department of Mathematics
NTNU Norwegian University of Science and Technology
NO–7491 Trondheim
Norway
Abstract.
We develop a theory of quantum harmonic analysis on lattices in . Convolutions of a sequence with an operator and of two operators are defined over a lattice, and using corresponding Fourier transforms of sequences and operators we develop a version of harmonic analysis for these objects. We prove analogues of results from classical harmonic analysis and the quantum harmonic analysis of Werner, including Tauberian theorems and a Wiener division lemma. Gabor multipliers from time-frequency analysis are described as convolutions in this setting. The quantum harmonic analysis is thus a conceptual framework for the study of Gabor multipliers, and several of the results include results on Gabor multipliers as special cases.
Key words and phrases:
Gabor multipliers, Tauberian theorems, Feichtinger’s algebra, Fourier-Wigner transform.
2010 Mathematics Subject Classification:
47B38,47B10,35S05,42B05,43A32
1. Introduction
In time-frequency analysis, one studies a signal by considering various time-frequency representations of . An important class of time-frequency representations is obtained by fixing and considering the short-time Fourier transform of with window , which is the function on the time-frequency plane given by
[TABLE]
where is the time-frequency shift given by for The intuition is that carries information about the components of the signal with frequency at time .
A question going back to von Neumann [58] and Gabor [23] is the validity of reconstruction formulas of the form
[TABLE]
where for is a lattice in and . It is known that (1) is indeed true for certain windows and lattices , and such formulas naturally lead to the concept of Gabor multipliers. If and is a sequence of complex numbers, we define the Gabor multiplier by
[TABLE]
Compared to (1) we see that modifies the time-frequency content of in a simple way, namely by multiplying the samples of its time-frequency representation with a mask . Gabor multipliers have been studied in the mathematics literature by [33, 16, 20, 29, 14, 5, 21, 9] among others, and also in more application-oriented contributions [1, 56, 50].
Gabor multipliers are the discrete analogues of the much-studied localization operators [10, 9, 2, 32]. In [46] we showed that the quantum harmonic analysis developed by Werner and coauthors [59, 39] provides a conceptual framework for localization operators, leading to new results and interesting reinterpretations of older results on localization operators. The goal of this paper is therefore to develop a version of quantum harmonic analysis for lattices to provide a similar conceptual framework for Gabor multipliers. Hence we continue the line of research into applications of quantum harmonic analysis from [46, 47, 45].
With this aim we introduce two convolutions of operators and sequences in Section 4. Following [59, 40, 18] we first define the translation of an operator on by to be the operator
[TABLE]
If and is a trace class operator on , the convolution is defined to be the operator
[TABLE]
Gabor multipliers are then given by convolutions
[TABLE]
where is the rank-one operator . Furthermore, we define the convolution of two trace class operators and to be the sequence over given by
[TABLE]
where with the parity operator for . In Section 4 we investigate the commutativity and associativity of these convolutions, extend their domains and in Proposition 4.3 we establish a version of Young’s inequality for convolutions of operators and sequences.
An important tool throughout the paper is a Banach space of trace class operators, consisting of operators with Weyl symbol in the so-called Feichtinger algebra [15]. The use of allows us to obtain continuity results for the convolutions with respect to and Schatten- classes – an important example is Proposition 4.1 which states that
[TABLE]
for and trace class , where is the trace class norm. While there are other classes of operators that would ensure that , see for instance the Schwartz operators [38], has the advantage of being a Banach space, hence allowing the use of tools such as Banach space adjoints. The space has previously been studied by [18, 14, 17] among others.
To complement the convolutions, we introduce Fourier transforms of sequences and operators in Section 5. For a sequence we use its symplectic Fourier series
[TABLE]
where for As a Fourier transform for trace class operators we use the Fourier-Wigner transform
[TABLE]
Equipped with both convolutions and Fourier transforms, we naturally ask whether the Fourier transforms turn convolutions into products. We show in Theorem 5.3 for that
[TABLE]
where is the adjoint lattice of defined in Section 5, and in Propositions 5.4 and 5.5 we show that
[TABLE]
These results include as special cases the so-called fundamental identity of Gabor analysis [52, 19, 57, 36] and results on the spreading function of Gabor multipliers due to [14]. Equations (2) and (3) hold for general classes of operators and sequences, and we take care to give a precise interpretation of the objects and equalities in all cases.
A fruitful approach to Gabor multipliers due to Feichtinger [16] is to consider the so-called Kohn-Nirenberg symbol of operators. The Kohn-Nirenberg symbol of an operator on is a function on , and Feichtinger used this to reduce questions about Gabor multipliers in the Hilbert Schmidt operators to questions about functions in . This approach has later been used in other papers on Gabor multipliers [14, 5, 20]. As Gabor multipliers are examples of convolutions, we show in Section 6 that this approach can be generalized and phrased in terms of our quantum harmonic analysis, and that one of the main results of [16] finds a natural interpretation as a Wiener’s lemma in our setting – see Theorem 6.3, Corollary 6.3.1 and the remarks following the corollary.
In Section 7 we show the extension of some deeper results of harmonic analysis on to our setting. We obtain an analogue of Wiener’s classical Tauberian theorem in Theorem 7.3, similar to the results of Werner and coauthors [59, 39] in the continuous setting. As an example we have the following equivalent statements for
- (i)
The set of zeros of contains no open subsets in . 2. (ii)
If for , then . 3. (iii)
is weak*-dense in .
These results are related to earlier investigations of Gabor multipliers by Feichtinger [16]. In particular, he showed that if is a rank-one operator and has no zeros, then any can be recovered from the Gabor multiplier . Since Gabor multipliers are given by convolutions, the equivalence (i) (ii) shows that we can recover from under the weaker condition (i) – this holds in particular for finite sequences .
Finally, we apply our techniques to prove a version of Wiener’s division lemma in Theorem 7.4. At the level of Weyl symbols this turns out to reproduce a result by Gröchenig and Pauwels [31], but in our context it has the following interpretation:
If has compact support for some operator , and the support is sufficiently small compared to the density of , then there exists a sequence such that for some . If belongs to the Schatten- class of compact operators, then .
The above result fits well into the common intuition that operators with compactly supported (so-called underspread operators) can be approximated by Gabor multipliers [14] – i.e. by operators where is a rank-one operator. The result shows that if we allow to be any operator in , then any underspread operator is precisely of the form for a sufficiently dense lattice .
We end this introduction by emphasizing the hybrid nature of our setting. In [59], Werner introduced quantum harmonic analysis of functions on and operators on the Hilbert space . We are considering the discrete setting of sequences on a lattice instead of functions on . If we had modified the Hilbert space accordingly, many of our results would follow by the arguments of [59], as already outlined in [39]. However, we keep the same Hilbert space as in the continuous setting. We are therefore mixing the discrete (lattices) and the continuous (), which leads to some extra intricacies.
2. Conventions
By a lattice we mean a full-rank lattice in , i.e. for . The volume of is . For a lattice , the Haar measure on will always be normalized so that has total measure .
If is a Banach space and its dual space, the action of on is denoted by the bracket , where the bracket is antilinear in the second coordinate to be compatible with the notation for inner products in Hilbert spaces. This means that we are identifying the dual space with antilinear functionals on . For two Banach spaces we use to denote the Banach space of continuous linear operators from to , and if we simply write . The notation means that there is some such that .
3. Spaces of operators and functions
3.1. Time-frequency shifts and the short-time Fourier transform
For we define the time-frequency shift operator by
[TABLE]
Hence can be written as the composition of a translation operator and a modulation operator . The time-frequency shifts are unitary operators on . For we can use the time-frequency shifts to define the *short-time Fourier transform * of with window by
[TABLE]
The short-time Fourier transform satisfies an orthogonality condition, sometimes called Moyal’s identity [27, 22].
Lemma 3.1** (Moyal’s identity).**
If , then for , and the relation
[TABLE]
holds, where the leftmost inner product is in and those on the right are in .
By replacing the inner product in the definition of by a duality bracket, one can define the short-time Fourier transform for other classes of . The most general case we need is that of a Schwartz function and a tempered distribution ; we define
[TABLE]
3.2. Feichtinger’s algebra
An appropriate space of functions for our purposes will be Feichtinger’s algebra , first introduced by Feichtinger in [15]. To define , let denote the -normalized Gaussian for . Then is the space of all such that
[TABLE]
With the norm above, is a Banach space of continuous functions and an algebra under multiplication and convolution [15]. By [27, Thm. 11.3.6], the dual space of is the space consisting of all such that
[TABLE]
where an element acts on by
[TABLE]
We get the following chain of continuous inclusions:
[TABLE]
One important reason for using Feichtinger’s algebra is that it consists of continuous functions, and that sampling them over a lattice produces a summable sequence [15, Thm. 7C)].
Lemma 3.2** (Sampling Feichtinger’s algebra).**
Let be a lattice in and . Then with
[TABLE]
where the implicit constant depends only on the lattice
3.3. The symplectic Fourier transform
We will use the symplectic Fourier transform of functions , defined by
[TABLE]
where is the standard symplectic form for is a Banach space isomorphism , extends to a unitary operator and a Banach space isomorphism [18, Lem. 7.6.2]. In fact, is its own inverse, so that for [11, Prop. 144].
3.4. Banach spaces of operators on
The results of this paper concern operators on various function spaces, and we will pick operators from two kinds of spaces: the Schatten- classes for and a space of operators defined using the Feichtinger algebra.
3.4.1. The Schatten classes
Starting with the Schatten classes, we recall that any compact operator on has a singular value decomposition [7, Remark 3.1], i.e. there exist two orthonormal sets and in and a bounded sequence of positive numbers such that may be expressed as
[TABLE]
with convergence of the sum in the operator norm. Here for denotes the rank-one operator .
For we define the Schatten- class of operators on by
[TABLE]
To simplify the statement of some results, we also define with given by the operator norm. The Schatten- class is a Banach space with the norm . Of particular interest is the space ; the so-called trace class operators. Given an orthonormal basis of , the trace defined by
[TABLE]
is a well-defined and bounded linear functional on , and independent of the orthonormal basis used. The dual space of is [7, Thm. 3.13], and defines a bounded antilinear functional on by
[TABLE]
Another special case is the space of Hilbert-Schmidt operators , which is a Hilbert space with inner product
[TABLE]
3.4.2. The Weyl transform and operators with symbol in
The other class of operators we will use will be defined in terms of the Weyl transform. We first need the cross-Wigner distribution of two functions , defined by
[TABLE]
For , we define the Weyl transform of to be the operator given by
[TABLE]
is called the Weyl symbol of the operator . By the kernel theorem for modulation spaces [27, Thm. 14.4.1], the Weyl transform is a bijection from to .
Notation*.*
In particular, any has a Weyl symbol, and we will denote the Weyl symbol of by . By definition, this means that .
It is also well-known that the Weyl transform is a unitary mapping from to [49]. This means in particular that
[TABLE]
which often allows us to reduce statements about Hilbert Schmidt operators to statements about .
We then define to be the Banach space of continuous operators such that , with norm
[TABLE]
consists of trace class operators and we have a norm-continuous inclusion [25, 30].
Example 3.1**.**
If , consider the rank-one operator Its Weyl symbol is the cross-Wigner distribution [11, Cor. 207], and if and only if [11, Prop. 365]. The simplest examples of operators in are therefore for .
The dual space can also be identified with a Banach space of operators. By definition, given by is an isometric isomorphism. Hence the Banach space adjoint is also an isomorphism. Since the Weyl transform is a bijection from to , we can identify with operators :
[TABLE]
In this paper we will always consider elements of as operators using these identifications. Since is the dual space of , the Banach space adjoint is a weak*-to-weak*-continuous inclusion of into .
Remark*.*
For more results on and we refer to [18, 17]. In particular we mention that we could have defined using other pseudodifferential calculi, such as the Kohn Nirenberg calculus, and still get the same space with an equivalent norm. We would also like to point out that the statements of this section may naturally be rephrased using the notion of Gelfand triples, see [18].
3.5. Translation of operators
The idea of translating an operator by using conjugation with has been utilized both in physics [59] and time-frequency analysis [18, 40]. More precisely, we define for and the translation of by to be the operator
[TABLE]
We will also need the operation , where is the parity operator for . The main properties of these operations are listed below, note in particular that part supports the intuition that is a translation of operators. See Lemmas 3.1 and 3.2 in [46] for the proofs.
Lemma 3.3**.**
Let .
- (i)
If is the Weyl symbol of , then the Weyl symbol of is 2. (ii)
** 3. (iii)
The operations , ∗ and are isometries on and for . 4. (iv)
.
By the last part we can unambiguously write .
4. Convolutions of sequences and operators
In [59], the convolution of a function and an operator was defined by the operator-valued integral
[TABLE]
and the convolution of two operators was defined to be the function
[TABLE]
These definitions, along with a Fourier transform defined for operators, have been shown to produce a theory of quantum harmonic analysis with non-trivial consequences for topics such as quantum measurement theory [39] and time-frequency analysis [46]. The setting where is replaced by some lattice is frequently studied in time-frequency analysis, and our goal is therefore to develop a theory of convolutions and Fourier transforms of operators in that setting.
For a sequence and , we define the operator
[TABLE]
and for operators and we define the sequence
[TABLE]
Hence is the sequence obtained by restricting the function to .
Remark*.*
We use the same notation for the convolution of an operator and a sequence and for the convolution of two operators. The correct interpretation of will always be clear from the context.
Since is an isometry on and , is well-defined with for and similarly for . The fact that is a well-defined and summable sequence on is less straightforward.
Proposition 4.1**.**
If and , then with .
Proof.
By [46, Thm. 8.1] we know that with Hence the result follows from Lemma 3.2 and . ∎
4.1. Gabor multipliers and sampled spectrograms
If we consider rank-one operators, these convolutions reproduce well-known objects from time-frequency analysis. First consider the rank-one operator for . The operators are well-known in time-frequency analysis as Gabor multipliers [16, 20, 5, 14]: it is simple to show that
[TABLE]
so if it follows from the definition (4) that acts on by
[TABLE]
which is the definition of the Gabor multiplier used in time-frequency analysis [20], i.e. .
Remark*.*
In this sense, operators of the form are a generalization of Gabor multipliers. We mention that this is a different generalization from the multiple Gabor multipliers introduced in [14].
If we pick another rank-one operator for (here ), one can calculate using the definition (5) that
[TABLE]
In particular, if and , then
[TABLE]
The function is the so-called spectrogram of with window , hence consists of samples of the spectrogram over .
Finally, if is any operator, then one may calculate that
[TABLE]
often called the lower symbol of with respect to and [16].
Remark*.*
In particular, Proposition 4.1 does not hold for all . By Remark 4.6 in [5], there exists a function such that
[TABLE]
Since , this shows that the assumption in Proposition 4.1 is necessary.
4.2. Associativity and commutativity of convolutions
Since the convolution of two operators is commutative in the continuous setting[59, Prop. 3.2], it follows from the definitions that the convolutions (4) and (5) are commutative. It is also a straightforward consequence of the definitions that the convolutions are bilinear.
In the original theory of Werner [59], the associativity of the convolution operations is of fundamental importance. Associativity still holds in some cases when moving from to , but we will later see in Corollary 7.2.2 that the convolution of three operators over a lattice is not associative in general. In what follows, denotes the usual convolution of sequences
[TABLE]
Proposition 4.2** (Associativity).**
Let , and . Then
- (i)
, 2. (ii)
.
Proof.
For the proof of , we write out the definitions of the convolutions and use the commutativity to get
[TABLE]
We have used the easily checked relation . For the second part, we find that
[TABLE]
To pass to the last line we have used the relation , which is easily verified. ∎
Remark*.*
Part of this result along with the trivial estimate shows that is a Banach module (see [24]) over if we define the action of on by . The same proofs also show that this is true when is replaced by or any Schatten class for .
Example 4.1**.**
Let and , and define and . If we use (8) to simplify and (9) to simplify , the first part of the result above becomes
[TABLE]
In words, the convolution of a sequence with samples of a spectrogram can be described using the action of a Gabor multiplier . In applications of convolutional neural networks to audio processing, one often considers the spectrogram of an audio signal as the input to the network. Convolutions of sequences with samples of spectrograms therefore appear naturally in such networks, and the connection (10) has been exploited in this context – see the proof of [13, Thm. 1].
4.3. Young’s inequality
The convolutions in (4) and (5) can be defined for more general sequences and operators by establishing a version of Young’s inequality [27, Thm. 1.2.1]. In the continuous case such an inequality was established by Werner [59] using the -norms of functions and Schatten--norms of operators. In the discrete case, it is not always possible to use the Schatten--norms, since Proposition 4.1 requires . We will therefore always require that one of the operators belongs to .
A Young’s inequality for Schatten classes can then be established by first extending the domains of the convolutions by duality. If and , we define by
[TABLE]
and if and we define by
[TABLE]
It is a simple exercise to show that these definitions define elements of and satisfying and , and that they agree with (4) and (5) when or . A standard (complex) interpolation argument then gives the following result, since and with [6]. For Gabor multipliers the second part of this result is well-known [20, Thm. 5.4.1], and a weaker version of the first part is known for [20, Thm. 5.8.3].
Proposition 4.3** (Young’s inequality).**
Let and .
- (i)
If , then . 2. (ii)
If , then .
Remark*.*
If is given by for any , then Feichtinger observed in [16, Thm. 5.15] that generates a so-called tight Gabor frame if and only if the Gabor multiplier is the identity operator in . A similar result holds in the more general case: if , then if and only if generates a tight Gabor g-frame, recently introduced in [54].
We may also use duality to define the convolution of with by
[TABLE]
which agrees with (12) when and satisfies . We end this section by showing that the space of sequences vanishing at infinity corresponds to compact operators under convolutions with . The second part of this statement is due to Feichtinger [16, Thm. 5.15] for the special case of Gabor multipliers.
Proposition 4.4**.**
Let If is a compact operator, then . If then is a compact operator on .
Proof.
By [46, Prop. 4.6], the function belongs to the space of continuous functions vanishing at infinity. Since is simply the restriction of to , it follows that . For the second part, let be the sequence
[TABLE]
Then is a compact operator for each , and by Proposition 4.3 and the bilinearity of convolutions
[TABLE]
Hence is the limit in the operator topology of compact operators, and is therefore itself compact. ∎
5. Fourier transforms
In [59], Werner observed that if one defines a Fourier transform of an operator to be the function
[TABLE]
then the formulas
[TABLE]
hold for and . The transform , called the Fourier-Wigner transform (or the Fourier-Weyl transform [59]) is an isomorphism , can be extended to a unitary map , and to an isomorphism by defining for by duality[18, Cor. 7.6.3]:
[TABLE]
Here is the inverse of . In fact, and the Weyl transform are related by a symplectic Fourier transform: for any we have
[TABLE]
where is the Weyl symbol of . As an important special case, the Fourier-Wigner transform of a rank-one operator is
[TABLE]
Since we have defined convolutions of operators and sequences, it is natural to ask whether a version of (14) holds in our setting. We start by defining a suitable Fourier transform of sequences.
Symplectic Fourier series
For the purposes of this paper, we identify the dual group with by the bijection , where is the symplectic character111Phase space, which in this paper is , is more properly described by (the isomorphic) space . The symplectic characters appear because they are the natural way of identifying the group with its dual group. . Given a lattice , it follows that the dual group of is identified with (see [12, Prop. 3.6.1]), where is the annihilator group
[TABLE]
The group is itself a lattice, namely the so-called adjoint lattice of from [18, 52]. Given this identification of the dual group of , the Fourier transform of is the symplectic Fourier series
[TABLE]
Here denotes the image of under the natural quotient map , so is a function on . If we denote by the Banach space of functions on with symplectic Fourier coefficients in , the Feichtinger algebra has the following property [15, Thm. 7 B)].
Lemma 5.1**.**
If is a lattice, the periodization operator defined by
[TABLE]
is continuous and surjective.
Remark*.*
- (i)
Since [18, Lem. 7.7.4], we have
[TABLE] 2. (ii)
One may define Feichtinger’s algebra for any locally compact abelian group [15]. In fact, all our function spaces besides are examples of Feichtinger’s algebra, since and
When we identify the dual group of with , the Poisson summation formula for functions in takes the following form.
Theorem 5.2** (Poisson summation).**
Let be a lattice in and assume that . Then
[TABLE]
Proof.
This is [12, Thm. 3.6.3] with , and using To get equality for any , we use that defines a continuous function on by Lemma 5.1. ∎
Since is a Fourier transform it extends to a unitary mapping satisfying
[TABLE]
for and .
5.1. The Fourier transform of
We now consider a version of (14) for sequences. The formula for is a simple consequence of the Poisson summation formula.
Theorem 5.3**.**
Let and . Then
[TABLE]
for any
Proof.
From [46, Thm. 8.2], we know that . Hence since is an isomorphism. By applying Poisson’s summation formula from Theorem 5.2 to , we find that
[TABLE]
where we used that is its own inverse to conclude that
[TABLE]
Since , Theorem 5.2 says that the equation holds for any . ∎
Remark*.*
Theorem 5.3 has also been proved and used in [44, Cor. A.3] in noncommutative geometry, with stronger assumptions on .
Theorem 5.3 has many interesting special cases. We will frequently refer to the following version, which follows since a short calculation using the definition of the Fourier-Wigner transform shows that
[TABLE]
Corollary 5.3.1**.**
Let Then
[TABLE]
Corollary 5.3.2**.**
Let and . Then
[TABLE]
Proof.
This follows from Theorem 5.3 with . ∎
Now assume that and are rank-one operators: for and for . By (7)
[TABLE]
and noting that for , we can use (16) and (18) to find
[TABLE]
Hence Theorem 5.3 says that
[TABLE]
Furthermore, Corollary 5.3.2 gives
[TABLE]
which is the fundamental identity of Gabor analysis [19, 57, 36, 52].
5.2. The Fourier transform of
When , we obtain the expected formula for .
Proposition 5.4**.**
If and , then
[TABLE]
Proof.
One easily verifies the formula
[TABLE]
showing that the Fourier transform of a translation is a modulation. Hence
[TABLE]
To move inside the sum, we use that the sum converges absolutely in , and is continuous from to by the Riemann-Lebesgue lemma for [46, Prop. 6.6]. ∎
5.2.1. Technical intermezzo
Let denote the dual space of , consisting of distributions on with symplectic Fourier coefficients in To understand the statement in Proposition 5.4 when , we need to ‘extend’ distributions in to distributions in . When this is achieved by
[TABLE]
where is the natural quotient map. To extend this map to distributions , one can use Weil’s formula [26, (6.2.11)] to show that for and one has
[TABLE]
This shows that the map agrees with the Banach space adjoint for . The natural way to extend is therefore to consider , and by an abuse of notation we will use to also denote the extension – by definition this means that when is considered an element of , it satisfies for
[TABLE]
We also remind the reader that for one defines as an element of by
[TABLE]
where are the symplectic Fourier coefficients of . This is [35, Example 6.8] for the group . Finally, recall that we can multiply with to obtain an element given by
[TABLE]
5.2.2. The case
The technical intermezzo allows us to make sense of the following generalization of Proposition 5.4. Recall in particular that is shorthand for the distribution .
Proposition 5.5**.**
If and , then
[TABLE]
Proof.
For , we get from (15), (11) and (20) (in that order)
[TABLE]
By Theorem 5.3 we find using (18) that
[TABLE]
where we also used that is the inverse of . On the other hand we find using (21) and (19) that
[TABLE]
Hence , which implies the statement. ∎
Remark*.*
For Gabor multipliers , Propositions 5.4 and 5.5 were proved in [14, Lem. 14], and have been used in the theory of convolutional neural networks [13].
6. Riesz sequences of translated operators in
Two of the useful properties of the Weyl transform are that it is a unitary transformation from to the Hilbert-Schmidt operators , and that it respects translations in the sense that
[TABLE]
As a consequence, statements concerning translates of functions in can be lifted to statements about translates of operators and convolutions in . This approach was first used for Gabor multipliers in [16, 20], and has later been explored in other works [5, 14] – we include these results for completeness, and because the proofs and results find natural formulations and generalizations in the framework of this paper.
For fixed and lattice , we will be interested in whether is a Riesz sequence in , i.e. whether there exist such that for all finite sequences
[TABLE]
Since the Weyl transform is unitary and preserves translations, if we let be the Weyl symbol of , then (22) is clearly equivalent to the fact that is a Riesz sequence in , meaning that
[TABLE]
for finite . Following [16, 20, 5, 14] we can use a result from [4] to give a characterization of when (22) holds in terms of an expression familiar from Corollary 5.3.1.
Theorem 6.1**.**
Let be a lattice and . Then the following are equivalent.
- (i)
The function
[TABLE]
has no zeros in . 2. (ii)
* is a Riesz sequence in .*
Proof.
The equality in is Corollary 5.3.1. By the preceding discussion, is a Riesz sequence in if and only if is a Riesz sequence in . The result from [4] (see [5] for a statement for general lattices and symplectic Fourier transform) says that is a Riesz sequence if and only if there exist such that
[TABLE]
Since the Weyl transform and Fourier-Wigner transform are related by , we we may restate this condition as
[TABLE]
Note that the middle term is , and since we know that . Therefore by Lemma 5.1, which in particular means that is a continuous function on the compact space . For a continuous function on a compact space, condition (23) is equivalent to having no zeros. This completes the proof. ∎
Remark*.*
- (i)
Since we assume , the first condition above is in fact equivalent to generating a frame sequence in , which is a weaker statement than (2) above. The proof of this in [5] for Gabor multipliers works in our more general setting. 2. (ii)
As mentioned in the introduction, Feichtinger [16] used the Kohn-Nirenberg symbol rather than the Weyl symbol. This makes no difference for our purposes – we have opted for the Weyl symbol as it is related to by a symplectic Fourier transform.
If is a Riesz sequence in , the synthesis operator is the map given by
[TABLE]
and the sum converges unconditionally in for each [8, Cor. 3.2.5]. We also get by [8, Thm. 5.5.1] that
[TABLE]
where the closure is taken with respect to the norm in .
6.1. The biorthogonal system and best approximation
Any Riesz sequence has a so-called biorthogonal sequence and, by the theory of frames of translates [8, Prop. 9.4.2], if the Riesz sequence is of the form for some , then the biorthogonal system has the same form. This means that there exists such that the biorthogonal system is
[TABLE]
and biorthogonality means that
[TABLE]
where is the Kronecker delta. Now note that for the definition (5) of implies that
[TABLE]
so if we define we have
[TABLE]
With this observation we can formulate the standard properties of the biorthogonal sequence using convolutions with .
Lemma 6.2**.**
Assume that with is a Riesz sequence in . Let
[TABLE]
With defined as above, we have that
- (i)
** 2. (ii)
For any , . 3. (iii)
For any ,
[TABLE]
Proof.
This is simply a restatement of the properties of the biorthogonal sequence of a Riesz sequence using the relation – with this observation, parts and follow from [8, Thm. 3.6.2]. ∎
Remark*.*
- (i)
If the convolution of three operators were associative, we could find for any (not just as above) that , since . However, we will soon see that the convolution of three operators is not associative. 2. (ii)
For , we have strictly speaking not defined (since (5) has stronger assumptions than simply ). However, it is clear by the Cauchy Schwarz inequality for that
[TABLE]
so we can define by (5) also in this case.
We will now answer two natural questions. First, to what extent does inherit the nice properties of – is it true that ? Then, how is related to ? The answer is provided by the following theorem, first proved by Feichtinger [16, Thm. 5.17] for Gabor multipliers, and the proof finds a natural formulation using our tools.
Theorem 6.3**.**
Assume that and that is a Riesz sequence in . If is defined as above, then and where are the symplectic Fourier coefficients of
[TABLE]
Proof.
By [8, Thm. 3.6.2], the generator of the biorthogonal system belongs to , hence there exists some such that . Since , one easily checks by the definitions of and ∗ that
[TABLE]
if we define . By part of Lemma 6.2 and the associativity of convolutions, we have
[TABLE]
Taking the symplectic Fourier series of this equation using (17) and Corollary 5.3.1, we find for a.e.
[TABLE]
hence
[TABLE]
and by assumption on (see Theorem 6.1 and its proof) the denominator is bounded from below by a positive constant. Since , we know that , and therefore Lemma 5.1 implies that . By Wiener’s lemma [51, Thm. 6.1.1], we get . In other words, . Since and , it follows that . ∎
To prepare for the next result, fix and let
[TABLE]
hence is the set of operators given as a convolution for . The first part of the next result says that when is a Riesz sequence, then the Schatten- class properties of are precisely captured by the properties of . This result appears to be a new result even for Gabor multipliers. We also determine for any the best approximation (in the norm ) of by an operator of the form . See [16, Thm. 5.17] and [14, Thm. 19] for the statement for Gabor multipliers.
Corollary 6.3.1**.**
Assume that and that is a Riesz sequence in , and let be as above.
- (i)
For any the map given by
[TABLE]
is a Banach space isomorphism, with inverse given by
[TABLE]
Hence and . 2. (ii)
For any , the best approximation in of by an operator with is given by
[TABLE]
Equivalently, the symplectic Fourier series of is given by
[TABLE]
Proof.
- (i)
By Proposition 4.3 part we get , and by part of the same proposition we get . Hence both maps in the statement are continuous. It remains to show that the two maps are inverses of each other, which will follow from the associativity of convolutions. First assume that Then
[TABLE]
where we have used associativity and part of Lemma 6.2. Then assume , so that for . We find
[TABLE]
Hence and are inverses. In particular as is onto , and is closed in (hence a Banach space) since has a left inverse and therefore has a closed range in . 2. (ii)
We claim that the map is the orthogonal projection from onto , which is a closed subset of by part (or (24)). If for some , then by part – therefore . Then assume that . As we saw in (25), we can write
[TABLE]
From the proof of Theorem 6.3, for some . One easily checks that
[TABLE]
where . It follows that for any Hence if (26) shows that . Finally, to obtain the equivalent expression recall from Theorem 6.3 that for Hence by associativity and commutativity of convolutions,
[TABLE]
It follows from (17) that we get
[TABLE]
We have a known expression for from Theorem 6.3, and a known expression for from Theorem 5.3 – inserting these expressions into the equation above yields the desired result.
∎
The key to the results of this section is Wiener’s lemma, used in the proof of Theorem 6.3. In fact, we may interpret these results as a variation of Wiener’s lemma. To see this, recall that . Then is a Riesz sequence if and only if the convolution map given by
[TABLE]
has a bounded inverse [8, Thm. 3.6.6]. Corollary 6.3.1 therefore says the following: if and the convolution map has a bounded inverse, then the inverse is given by the convolution
[TABLE]
for some . The similarities with Wiener’s lemma are evident when we compare this to the following formulation of Wiener’s lemma[28, Thm. 5.18]:
If and the convolution map defined by
[TABLE]
has a bounded inverse on , then the inverse is given by the convolution map
[TABLE]
for some .
7. Tauberian theorems
In the continuous setting, where one considers functions on and the convolutions briefly introduced at the beginning of Section 4, a version of Wiener’s Tauberian theorem for operators was obtained by Kiukas et al. [39], building on earlier work by Werner [59]. This theorem consists of a long list of equivalent statements for and for , and as a starting point for our discussion we state a shortened version for below.
Theorem 7.1**.**
Let . The following are equivalent.
- (1)
The span of is dense in . 2. (2)
The set of zeros of has Lebesgue measure [math] in . 3. (3)
The set of zeros of has Lebesgue measure [math] in . 4. (4)
If for , then . 5. (5)
If for , then .
We wish to obtain versions of this theorem when is replaced by a lattice functions on are replaced by sequences on and we still consider operators on . In this discrete setting, statements (3) and (4) in Theorem 7.1 are still equivalent, mutatis mutandis, while the analogues of (1) and (5) can never be true. First we show that the discrete version of statement (1) can never hold.
Proposition 7.2**.**
Let be any lattice in and let . Then the linear span of is not dense in .
Proof.
As we have exploited on several occasions, the Weyl transform is unitary from from to and sends translations of operators using to translations of functions. It is therefore sufficient to show that is not dense in , where is the Weyl symbol of . Let , and define . Consider the lattice in . Then we have that . By the density theorem for Gabor systems [27, 34, 3], this implies that the system cannot be span a dense subset in , so in particular the subsystem cannot be complete. ∎
This implies that we cannot hope to generalize part (5) of Theorem 7.1 to the discrete setting.
Corollary 7.2.1**.**
Let . There exists such that
Proof.
To obtain a contradiction, we assume that for . As we have seen in (25),
[TABLE]
Our assumption is therefore equivalent to
[TABLE]
which implies that the linear span of is dense in – a contradiction to Proposition 7.2 applied to . ∎
Proposition 7.2 also allows us to construct counterexamples to the associativity of convolutions of three operators.
Corollary 7.2.2**.**
Assume that is a Riesz sequence in for . Then there exist and such that
[TABLE]
Proof.
Choose as in Section 6.1, i.e. such that . Then use Proposition 7.2 to pick that does not belong to the closed linear span of in . We get that
[TABLE]
If we assumed associativity, we would get
[TABLE]
where by Proposition 4.3. Hence we could express for , which would imply that belongs to the closed linear span of by (24) – a contradiction. ∎
On the positive side, we can use the techniques developed in Section 5 to prove the following theorem, which shows that parts (3) and (4) of Theorem 7.1 have natural analogues for sequences. For Gabor multipliers, Feichtinger was interested in the question of recovering from , and the continuity of the mapping . In this case he proved the equivalence below [16, Thm. 5.17], and that this implies the final statement in part [16, Prop. 5.22 and Prop. 5.23]. In part we show that any (in particular any finite sequence) can be recovered from under significantly weaker assumptions on for a fixed lattice , but obtain no continuity statement.
Theorem 7.3**.**
Let .
- (1)
The following are equivalent:
- (i)
* has no zeros in .* 2. (ii)
If for , then . 3. (iii)
* is dense in * 4. (iv)
* is a Riesz sequence in .*
If any of the statements above holds, is recovered from by for some In particular, the map is continuous . 2. (2)
The following are equivalent:
- (i)
* is non-zero a.e. in .* 2. (ii)
If for , then . 3. (iii)
* is dense in * 3. (3)
The following are equivalent:
- (i)
The set of zeros of contains no open subsets in . 2. (ii)
If for , then . 3. (iii)
* is weak*-dense in .*
Proof.
- (1)
The equivalence of and was the content of Theorem 6.1. By Corollary 6.3.1, implies that is injective, hence holds. Then assume that holds, and let – to show , we need to show that , which by Corollary 5.3.1 is equivalent to showing that there exists some such that .
Consider the distribution defined by
[TABLE]
(recall that our duality brackets are antilinear in the second coordinate), and let be its symplectic Fourier coefficients, i.e. . We know that is non-zero by , and Proposition 5.5 gives for any that
[TABLE]
From this it is clear that if for all , then and hence since is an isomorphism, which cannot hold by .
Before we prove , note that is unchanged when by commutativity of the convolutions. Since , this means that is equivalent to
- (ii’)
If for , then .
To prove the equivalence of and , we will prove that the map given by is the Banach space adjoint of given by This amounts to proving that
[TABLE]
By writing out the definitions of and , we see that we need to show that
[TABLE]
which is simply the definition of when from (11), hence true. Since a bounded linear operator between Banach spaces has dense range if and only if its Banach space adjoint is injective (see [53, Corollary to Thm. 4.12], part (b)), this implies that is equivalent to . Finally, Corollary 6.3.1 implies the final statement that . 2. (2)
The equivalence is proved as above . Assume that holds, and that for some . By associativity of convolutions,
[TABLE]
Applying to this, we find using (17) that
[TABLE]
By this implies that in , hence .
Then assume that does not hold, i.e. there is a subset of positive measure where vanishes. Pick such that where is the characteristic function of , which is possible since is unitary and so in particular onto. Then by Proposition 5.5, for ,
[TABLE]
To see why the last integral is zero, note first that if , then If , then we use that by Corollary 5.3.1,
[TABLE]
Hence the assumption for implies that for any when . In conclusion we have shown that the integrand above is zero, hence the integral is zero. This means that , so , contradicting since . 3. (3)
Assume that holds, and that for some . By associativity, we also have that , and by applying we get from (17)
[TABLE]
Since , is a continuous function. So if , there must exist an open subset such that for . But the equation above then gives that for ; a contradiction to . Hence and holds. Then assume that holds, and assume that there is an open set such that for any By Theorem 5.3, this means that
[TABLE]
which is clearly equivalent to
[TABLE]
Then find some non-zero such that vanishes outside , which is possible by [51, Remark 5.1.4]. Using Proposition 5.4, we have
[TABLE]
If , then by construction of . Similarly, if , then we saw that . Hence for any , which implies that . But , so this is impossible when we assume , so there cannot exist an open subset such that for .
The equivalence is proved as in part (1), with some minor modifications. We note that is unchanged when , so as we have that is equivalent to
- (ii’)
If for , then .
By simply writing out the definitions, one sees using (13) that the map given by is the Banach space adjoint of given by . The equivalence therefore follows from part (c) of [53, Corollary of Thm. 4.12]: a bounded linear operator between Banach spaces is injective if and only if the range of its adjoint is weak*-dense.
∎
Let us rewrite the statements of the theorem in the case that is a rank-one operator for . By (8) we find that
[TABLE]
and by (6) is the Gabor multiplier
[TABLE]
Hence the equivalences provides a characterization using the symplectic Fourier series of of when the symbol of a Gabor multiplier is uniquely determined.
7.1. Underspread operators and a Wiener division lemma
For motivation, recall Wiener’s division lemma [51, Lem. 1.4.2]: if satisfy that has compact support ( is the usual Fourier transform on ) and does not vanish on then
[TABLE]
for some satisfying for . The next result is a version of this statement for the convolutions and Fourier transforms of operators and sequences. At the level of Weyl symbols, this result is due to Gröchenig and Pauwels [31] (see also the thesis of Pauwels [48]) using different techniques. We choose to include a proof using the techniques of this paper to show how the the statement fits our formalism. Note that apart from the function – introduced to ensure – Theorem 7.4 is obtained by replacing the convolutions and Fourier transforms in Wiener’s division lemma by the convolutions and Fourier transforms of sequences and operators.
Remark*.*
If , we will pick the fundamental domain which means that any can be written as for in a unique way. This choice of fundamental domain implies that , so we may find in the statement below by [43, Prop. 2.26].
Theorem 7.4**.**
Assume that satisfies for some . Pick such that and . If satisfies for , then
[TABLE]
where is given by .
Proof.
We first show that by showing . The Wiener-Lévy theorem [51, Thm. 1.3.1] gives such that for where denotes the usual Fourier transform. Therefore , which belongs to by [27, Prop. 12.1.7].
To show that , we will show that their Fourier-Wigner transforms are equal. Using Proposition 5.4 and Theorem 5.3 we find that
[TABLE]
To show that this equals , we consider three cases.
- •
If , then by construction and
[TABLE]
where we used that the only summand contributing to the sum is since and and is a fundamental domain.
- •
If , then and the same argument as above gives
[TABLE]
- •
If , then since and since as .
∎
A similar argument using duality brackets shows that essentially the same result even holds for .
Theorem 7.5**.**
Assume that satisfies for some . Pick such that and . If satisfies for , then
[TABLE]
where is given by .
Proof.
We have already seen that . Let . Then
[TABLE]
In the last line we multiplied the right hand side by a bump function such that and – this does not change anything by the assumptions on the supports of and . We find using Theorem 5.3 and Proposition 5.4 that
[TABLE]
We claim that this last function equals : if , then , so and
[TABLE]
If , then and
[TABLE]
since vanishes outside of by construction. Hence we have shown that
[TABLE]
for any , which implies the result.
∎
Operators such that where are called underspread, and provide realistic models of communication channels [42, 41, 55, 31, 14]. We immediately obtain the following consequence.
Corollary 7.5.1**.**
Any underspread operator can be expressed as a convolution with and for a sufficiently dense lattice . In particular, is bounded on .
It is known (see [14]) that for an operator to be well-approximated by Gabor multipliers – i.e. operators for – should be underspread. The result above shows that any underspread operator is given precisely by a convolution if we allow to be any operator in , not just a rank-one operator. In fact, as constructed in the theorem will never be a rank-one operator, since has compact support – this is not possible for rank-one operators [37]. If satisfies in addition to the assumptions of Theorem 7.5, then by Proposition 4.3. Hence the -summability of in reflects the fact that .
Theorem 7.5 also implies that underspread operators are determined by the sequence when is chosen appropriately. This was a major motivation for [31], since when is a rank-one operator , the sequence is the diagonal of the so-called channel matrix of with respect to – see [31, 48] for a thorough discussion and motivation of these concepts. Finally, note that Theorem 7.5 gives a (partial) discrete analogue of part (5) of Theorem 7.1.
Acknowledgements
We thank Franz Luef for insightful feedback on various drafts of this paper. We also thank Markus Faulhuber for helpful discussions and suggestions, particularly concerning Proposition 7.2.
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