Kernel theorems in coorbit theory

By Peter Balazs, Karlheinz Gröchenig, and Michael Speckbacher

Abstract

We prove general kernel theorems for operators acting between coorbit spaces. These are Banach spaces associated to an integrable representation of a locally compact group and contain most of the usual function spaces (Besov spaces, modulation spaces, etc.). A kernel theorem describes the form of every bounded operator between a coorbit space of test functions and distributions by means of a kernel in a coorbit space associated to the tensor product representation. As special cases we recover Feichtinger’s kernel theorem for modulation spaces and the recent generalizations by Cordero and Nicola. We also obtain a kernel theorem for operators between the Besov spaces and .

1. Introduction

Kernel theorems assert that every “reasonable” operator can be written as a “generalized” integral operator. For instance, the Schwartz kernel theorem states that a continuous linear operator possesses a unique distributional kernel such that

If is a locally integrable function, then

and thus has indeed the form of an integral operator. Similar kernel theorems hold for continuous operators from Reference 24, Theorem 5.2 and for Gelfand-Shilov spaces and their distribution spaces Reference 21. The importance of these kernel theorems stems from the fact that they offer a general formalism for the description of linear operators.

In the context of time-frequency analysis, Feichtinger’s kernel theorem Reference 12 (see also Reference 18 and Reference 23, Theorem 14.4.1) states that every bounded linear operator from the modulation space to the modulation space can be represented in the form Equation 1 with a kernel in . The advantage of this kernel theorem is that both the space of test functions and the distribution space are Banach spaces and thus technically easier than the locally convex spaces and .

Recently, Cordero and Nicola Reference 8 revisited Feichtinger’s kernel theorem and proved several new kernel theorems that “do not have a counterpart in distribution theory”. They argue that “this reveals the superiority, in some respects, of the modulation space formalism upon distribution theory.” While we agree full-heartedly with this claim, we would like to add a more abstract point of view and argue that the deeper reason for this superiority lies in the theory of coorbit spaces and in the convenience of Schur’s test for integral operators. Indeed, we will prove kernel theorems similar to Feichtinger’s kernel theorem for many coorbit spaces.

The main idea is to investigate operators in a transform domain after taking a short-time Fourier transform, a wavelet transform, or an abstract wavelet transform, i.e., a continuous transform with respect to a unitary group representation. In this new representation every operator between a suitable space of test functions and distributions is an integral operator. The standard boundedness conditions of Schur’s test then yield strong kernel theorems.

The technical framework for this idea is coorbit theory, which was introduced and studied in Reference 15Reference 16Reference 17Reference 22 for the construction and analysis of function spaces by means of a generalized wavelet transform. The main idea is that functions in the standard function spaces, such as Besov spaces and modulation spaces, can be characterized by the decay or integrability properties of an associated transform (the wavelet transform or the short-time Fourier transform). In the abstract setting, is a locally compact group and is an irreducible, unitary, integrable representation of . Leaving technical details aside, the coorbit space consists of all distributions in a suitable distribution space such that the representation coefficient is in the weighted space .

Next, let and be two locally compact groups, and let and be irreducible, unitary, integrable representations of and , respectively.

Let be a bounded linear operator between and . Our main insight is that such an operator can be described by a kernel in a coorbit space that is related to the tensor product representation of on the tensor product space . The following non-technical formulation offers a flavor of our main result in Theorem 3:

A linear operator is bounded from to if and only if there exists a kernel such that

for all .

This statement is not just a mere abstraction and generalization of the classical kernel theorem. With the choice of a specific group and representation one obtains explicit kernel theorems. For instance, using the Schrödinger representation of the Heisenberg group, one recovers Feichtinger’s original kernel theorem. The added value is our insight that the conditions on the kernel of Reference 8 in terms of mixed modulation spaces Reference 4 amount to coorbit spaces with respect to the tensor product representation. Choosing the -group and the continuous wavelet representation, one obtains a kernel theorem for all bounded operators between the Besov spaces and with a kernel in a space of dominating mixed smoothness. This class of function spaces has been studied extensively Reference 31Reference 32 and is by no means artificial.

By using suitable versions of Schur’s test, it is then possible to derive characterizations for the boundedness of operators between other coorbit spaces. For example, in Theorem 7 we will prove the following, with :

(i)

,

(ii)

,

where the mixed-norm Lebesgue spaces and on are defined in Equation 23 and Equation 24, respectively.

The paper is organized as follows. In Section 2 we present the basics of tensor products and coorbit space theory. The theory of coorbit spaces of kernels with respect to products of integrable representations is developed in Section 3. Our main results, the kernel theorems, are proved in Section 4 and applied to particular examples of group representations in Section 5.

We note that our proofs require a meaningful formulation of coorbit theory. One can therefore prove kernel theorems also in the context of other coorbit space theories Reference 6Reference 9, e.g., for certain reducible representations.

2. Preliminaries on tensor products and coorbit spaces

2.1. Tensor products and Hilbert-Schmidt operators

The theory of tensor products is at the heart of kernel theorems for operators. Algebraically, a simple tensor of two vectors (in two possibly different Hilbert spaces) is a formal product of two vectors , and the tensor product is obtained by taking the completion of all linear combinations of simple tensors with respect to the inner product

This tensor product is homogeneous in the following sense: . Note explicitly that the product is anti-linear in the second factor. In some books this is done by introducing the dual Hilbert space Reference 25.

If each Hilbert space is an -space , then the simple tensor is just the product , and the tensor product becomes the product space .

The connection between functions and operators arises in the analytic approach to tensor products. We interpret a function of two variables as an integral kernel for an operator. Thus a simple tensor of two functions becomes the rank one operator with integral kernel , and a general becomes a Hilbert-Schmidt operator from to . The systematic, analytic treatment of general tensor products of two Hilbert spaces often defines the tensor product as a space of Hilbert-Schmidt operators between and . We note that his definition is already based on the characterization of Hilbert-Schmidt operators and thus represents a non-trivial kernel theorem Reference 7. Whereas the working mathematician habitually identifies an operator with its distributional kernel, we will make the conceptual distinction between tensor products and operators for our study of kernel theorems.

In the sequel we will denote the (distributional) kernel of an integral operator by and the abstract kernel in a tensor product by .

2.2. Coorbit space theory

Let be a locally compact group with left Haar measure , let be a separable Hilbert space, and let be the group of unitary operators acting on . A continuous unitary group representation is called square integrable Reference 1Reference 11 if it is irreducible and there exist such that

A non-zero vector satisfying Equation 3 is called admissible. For every square integrable representation there exists a densely defined operator such that , one has

For fixed the representation coefficient is interpreted as a generalized wavelet transform. The orthogonality relation Equation 4 then implies that is a multiple of an isometry from to . By using a weak interpretation of vector-valued integrals, Equation 4 can also be recast as the inversion formula

For the rest of this paper we assume without loss of generality that the chosen admissible vectors are normalized, i.e., .

The adjoint operator is formally defined by

Other domains and convergence properties will be discussed later.

With this notation Equation 5 says that for all admissible and normalized vectors , which in the language of recent frame theory means that is a continuous Parseval frame. By Reference 5, Proposition 2.1 one can always assume that is -finite since we assume to be separable.

In coorbit theory one needs much stronger hypotheses on . The representation is called integrable with respect to a weight if there exists an admissible vector such that

Let , , . We call a weight submultiplicative if and a function w-moderate if it satisfies . If is -moderate, the weighted Lebesgue space is then invariant under left translation and under the right translation . Throughout this paper, we will assume that the weight satisfies

where , , and denotes the modular function of .

Our standing assumption is that the representation of possesses an admissible vector such that . We denote the corresponding set by

For fixed the linear version of ,

is dense in . Let denote the anti-dual of , i.e., the space of anti-linear continuous functionals on . As is dense in , it follows that the inner product on extends to and so does the generalized wavelet transform.

The coorbit space with respect to is then defined by

and is equipped with the natural norm

With our assumptions on , the coorbit space is a Banach space Reference 16. Alternatively, for can be defined as the completion of with respect to this norm. Moreover,

and

for and -moderate weight . In the context of coorbit space theory the space serves as a space of test functions, and is the corresponding distribution space.

We quickly recall some of the fundamental properties of coorbit spaces; see for example Reference 16, Theorems 4.1 and 4.2 and Proposition 4.3.

Proposition 1.

Let , , , and . Then the following properties hold:

(i)

is an isometry.

(ii)

is invariant with respect to and

(iii)

is continuous.

(iv)

.

(v)

Correspondence principle: Let . There exists such that if and only if , where denotes convolution on .

(vi)

Duality: For , , we have , where the duality is given by

(vii)

The definition of is independent of the particular choice of the window function from . In particular, for arbitrary non-zero .

We furthermore need a result on the existence of atomic decompositions for the space ; see Reference 15, Theorem 4.7.

Theorem 2.

Let . There exists a discrete subset and a collection of linear functionals , such that

and the sum converges absolutely in .

3. Frames and coorbit spaces via tensor products

Let be two locally compact groups with unitary square integrable representations and . For the tensor representation ,

acts on a simple tensor by

It follows immediately that is a unitary representation of on . Moreover, is irreducible (e.g., by Reference 34, Section 4.4, Theorem 6). Note that the order of indices is in agreement with the formulation of the kernel theorem in Theorem 3.

If we interpret the simple tensor as the rank-one operator with , then we can write Equation 12 as

where the contragredient representation of is defined as ; see Reference 34, Section 3.1.

In case we treat the tensor product as a space of Hilbert-Schmidt operators, acts on as

The generalized wavelet transform of a simple tensor with respect to a “wavelet” is given by

Thus, the wavelet transform of the tensor product representation factors into the product of wavelet transforms on and . Strictly speaking, we would have to write to indicate the underlying representation, but we omit the reference to the group to keep notation simple.

Throughout this paper we consider only separable weights with and , where is submultiplicative and is -moderate. Moreover we write . It follows from Equation 13 that the tensor representation of two square-integrable representations is again square-integrable and that the tensor of two admissible vectors and is admissible for . Likewise, if and , , then (where we assume that , , satisfies Equation 7). Therefore all definitions and results of Section 2.2 hold for the representation and . In particular, the orthogonality relation Equation 4, the inversion formula Equation 5, Proposition 1, and Theorem 2 hold for suitable admissible vectors .

4. Kernel theorems

In this section we derive the general kernel theorems for operators between coorbit spaces. The basic idea comes from linear algebra, where a linear operator is identified with its matrix with respect to a basis. In coorbit theory the basic structure consists of the vectors . Thus in analogy to linear algebra we try to describe an operator by the kernel (= continuous matrix)

This can be seen as a continuous Galerkin-like representation of the operator Reference 2Reference 3. The idea goes back to coherent state theory Reference 30, Ch. 1.6. One of its goals is to associate to every operator a function or symbol , and Equation 14 is one of the many possibilities to do so.

Assume that and , i.e., maps “test functions” to “distributions”. By using the inversion formula Equation 5 for and applying to it, it follows formally that

and furthermore that

Let

be the integral operator with the kernel . Then Equation 15 can be written as

or, equivalently,

Using this factorization, the computation in Equation 15 can be given a precise meaning on coorbit spaces. Identity Equation 18 is the heart of the kernel theorems. The combination of the properties of the generalized wavelet transform (Proposition 1) and boundedness properties of integral operators yields powerful and very general kernel theorems.

We will first show the existence of a generalized kernel for operators mapping the space of test functions into the distribution space . Subsequently, we will characterize continuous operators in certain subclasses.

Theorem 3.

Let and be two locally compact groups, and let be integrable, unitary, irreducible representations of , such that for .

(i)

Every kernel defines a unique linear operator by means of

for all and . The operator norm satisfies

and

(ii)

Kernel theorem: Conversely, if is bounded, then there exists a unique kernel such that Equation 19 holds.

Proof.

(i) Fix with , and let , be arbitrary. By Equation 13 it follows that . Therefore, the duality in Equation 19 is well-defined and

Therefore, if we fix , the mapping is a bounded, anti-linear functional on , which we call . The map is clearly linear, and Equation 19 defines a linear operator . The estimate Equation 22 implies that

and thus

(ii) To prove the converse, we need to show that the mapping is one-to-one and onto.

Uniqueness: Let us assume that the kernel also satisfies

for every , . By Theorem 2, there exists a discrete set such that every can be written as

with unconditional convergence in and

Since , we conclude that

As this equality holds for every , it follows that .

Surjectivity: Let us assume that is bounded. Then the kernel defined in Equation 14 is an element of , because

We claim that is a generalized wavelet transform. Precisely, there exists such that . To prove this claim, we use Proposition 1v, which asserts that for some if and only if .

As , we may choose the most convenient order of integration and apply the reproducing formula of Proposition 1v consecutively to the representations and . Using Equation 13 we obtain

At this point we note that by the assumption on there exists a unique operator that satisfies

for every and . By its definition, is weak-continuous. We continue with the integration over and obtain

By Proposition 1v there exists a kernel such that . By the first part of the proof defines an operator by means of . In particular,

Consequently, for all . This identity extends to all finite linear combinations of vectors and by Theorem 2 to . Thus , and we have shown that the map from kernels to operators is onto.

The map is bounded and invertible. By the inverse mapping theorem we obtain that , which proves Equation 20.

Remark 4.

It is crucial to interpret the brackets in Equation 19 correctly. For utmost precision, we would have to write

but we feel that this notation would distract from the analogy to distribution theory.

The injectivity of the mapping from kernels to operators is closely related to an important property of the coorbit spaces . This so-called tensor product property has gained considerable importance in certain special cases Reference 13, Theorem 7D and Reference 26. We therefore state and prove a general version. Recall that the projective tensor product of two Banach spaces and is defined to be

The norm is given as over all representations of .

The following identification of the projective tensor product of and with the coorbit space is a generalization of Feichtinger’s original result for modulation spaces Reference 13, Theorem 7D.

Theorem 5.

Under the general assumptions on the groups and the representations we have

Proof.

Let . Then by Theorem 2 applied to , possesses the representation with and . Using Proposition 1(ii) we obtain that

Thus , and is continuously embedded into .

Conversely, let . Choose a representation with . Using Fubini’s theorem and Proposition 1(ii) yields

Thus, . The equivalence of the norms follows from the inverse mapping theorem.

Once the kernel theorem provides a general description of operators between test functions and distributions, we may try to characterize certain classes of operators by properties of their kernel. Since on the level of the generalized wavelet transform such operators correspond to integral operators (see diagram in Figure 1), we may translate the various versions of Schur’s test to kernel theorems for operators between coorbit spaces. Following the procedure in Reference 8, Theorem 3.3, we first formulate a general version of Schur’s test and then derive the abstract kernel theorem.

We introduce two classes of mixed norm spaces. For two -finite measure spaces and , , and we define the spaces and by the norms

and

The following version of Schur’s test is folklore and can be found in Reference 33, Propositions 5.2 and 5.4 or Reference 27.

Proposition 6.

Let and be -finite measure spaces, let , let , and let be the integral operator with kernel .

(i)

The operator is bounded from to if and only if . In that case

(ii)

The operator is bounded from to if and only if . In this case

We now characterize the boundedness of operators between certain coorbit spaces.

Theorem 7.

Let with , and let be -moderate weights on . If is a bounded operator from to with kernel , then the following hold:

(i)

is bounded from to if and only if its kernel is in . Its operator norm satisfies

(ii)

is bounded from to if and only if its kernel is in . Its operator norm satisfies

Proof.

Since and by Equation 10, the kernel theorem is applicable to the operator , and there exists a kernel such that

Assume first that , which means that . By Proposition 6, the integral operator defined by the integral kernel is bounded from to . According to Equation 18, factors as , where is an isometry from to , and is bounded from to by Proposition 1. Consequently is bounded from to . The boundedness estimate follows from

Conversely, let be bounded from to . Then and the following estimates make sense:

Since and is -moderate and thus satisfies , the last expression is bounded by

Thus .

Part (ii) follows by using Proposition 6(ii) instead of (i) and is proved similarly.

The following diagram (Figure 1) shows the connection between the different operators and spaces.

Using interpolation between -spaces, Schur’s test can also be formulated as saying that an integral operator is bounded on all simultaneously if and only if its kernel belongs to . The corresponding version for coorbit spaces is a consequence of Theorem 7 and an interpolation argument.

Corollary 8.

The following conditions are equivalent:

(i)

is bounded for every .

(ii)

Both and are bounded.

(iii)

.

Clearly one can now translate every boundedness result for an integral operator into a kernel theorem for coorbit spaces. As a simple but important example we offer a sufficient condition for regularizing operators, i.e., operators that map distributions to test functions.

Theorem 9.

Under the assumptions of Theorem 3, if the unique kernel of the operator satisfies , then is bounded from to .

Proof.

Consider the integral operator as in the proof of Theorem 7 and observe that is a sufficient condition for to be bounded by Schur’s test.

4.1. Discretization

Coorbit theory guarantees the discretization of the coorbit spaces via atomic decompositions and Banach frames. For our purposes, it is sufficient to state a shortened and simplified version of Reference 22, Theorem 5.3. Let be one of the function spaces or , and let be the natural sequence space associated to .

Proposition 10.

If satisfies

for a compact neighborhood of , then there exist a discrete subset and constants such that

Corollary 11.

Let be a discrete set such that satisfies Equation 28 for and . If is a bounded operator from to with kernel , then the following hold:

(i)

is bounded if and only if

(ii)

Likewise is bounded if and only if

Proof.

(i) By Theorem 7 has a kernel in , and

By Equation 28, the expression in Equation 29 is an equivalent norm for . The proof of (ii) works in exactly the same way.

5. Examples

5.1. Modulation spaces

The Weyl-Heisenberg group is defined by the group law

Let denote the translation, and let be the modulation operator. The operator for defines a unitary square-integrable representation of acting on , for which every non-zero vector in is admissible. Since the phase factor is irrelevant for the definition of coorbit spaces, it is convenient to drop the trivial third component and consider the time-frequency shift . Formally, we treat the projective representation of instead of the unitary representation of . The transform corresponding to is nothing else but the short-time Fourier transform

The coorbit spaces associated to coincide therefore with the coorbit spaces associated to . These are the modulation spaces which were first introduced by Feichtinger in Reference 14 as certain decomposition spaces and subsequently were identified with the coorbit spaces of the Heisenberg group Reference 18. We refer to the standard textbooks Reference 20Reference 23 for more information on time-frequency analysis.

Theorem 3 asserts that every bounded operator from to possesses a kernel such that for . Let us elaborate in detail what the kernel theorem asserts in this case: for , the tensor representation acts on the simple tensor as

Thus except for the phase factor the tensor representation is just the time-frequency shift acting on . Consequently, the coorbit spaces with respect to the product group are again modulation spaces, this time on . For the coorbit of we compare the norms

and

which are obviously equal. In this case Theorem 3 is therefore just Feichtinger’s kernel theorem: For there exists a unique kernel such that .

The recent extension of Feichtinger’s kernel theorem by Cordero and Nicola Reference 8 can be seen in the same light. Let us explain the difference in the formulations. Our approach considers the generalized wavelet transform

of the kernel. The conditions of Theorem 7 are formulated by mixed norms acting simultaneously on the variables and . The treatment in Reference 8 uses the short-time Fourier transform on

which is the same transform, except for the order of the variables. In Reference 8 it was therefore necessary to reshuffle the order of integration of time-frequency shifts and to use the notion of mixed modulation spaces, which were studied in Reference 4Reference 29. The new insight of our formulation is that the mixed modulation spaces are simply the coorbit spaces with respect to the tensor product representation.

The special case of Theorem 7 for the Weyl-Heisenberg group and the weights for states the following: Fix and let be an operator from to . Then for , , and we have

(i)

,

(ii)

.

Regularizing operators from to were recently studied by Feichtinger and Jakobsen Reference 19: they characterized a subclass of this space of operators by an integral kernel in . The sufficiency of this result in a coorbit version is contained in Theorem 9.

5.2. Wavelet coorbit spaces and Besov spaces

The affine group is given by the group law , where and . Its left Haar measure is given by . Let denote the dilation operator. Then defines a unitary, square-integrable representation of on .

Now let . The continuous wavelet transform is defined as

and the admissibility condition Equation 3 reads as

It is well-known that the coorbit spaces associated to the representation are the homogeneous Besov spaces. See the textbooks Reference 10Reference 28 for details and further expositions of wavelet theory. For brevity, we consider only the coorbit spaces with respect to the weighted -spaces with the weight function for . Note that . Then by Reference 15, Section 7.2. In particular and . In this example Theorem 3 states that an operator is bounded if and only if its associated kernel is in . At first glance not much seems to have been gained by this formulation, but it turns out that the coorbit spaces of the tensor product of are well understood in the theory of function spaces under the name of Besov spaces of dominating mixed smoothness. In particular, can be identified with the Besov space of dominating mixed smoothness . See Reference 32, Definition A.4 and Reference 31. Moreover, Theorem 7 yields a characterization of continuous operators between certain Besov spaces:

(i)

bounded ,

(ii)

bounded .

The case (i) for was already formulated in a discrete version by Meyer Reference 28, Section 6.9, Proposition 6.

Theorem 12.

Let be a wavelet basis with , and assume that has compact support and satisfies sufficiently many moment conditions so that the assumption of Proposition 10 is satisfied. An operator is bounded if and only if

Proof.

Set , , recall that , and apply Corollary 11.

5.3. The case of two distinct representations

For most applications it suffices to consider a single group and its product group . Our formulation with two different groups allows us to study operators acting between coorbit spaces associated with different group representations. Using the representations of the Weyl-Heisenberg group and the affine group of Sections 5.1 and 5.2, one can characterize the boundedness of operators between certain modulation spaces and Besov spaces by properties of their associated kernels. Theorem 7 now reads as follows:

(i)

,

(ii)

,

(iii)

,

(iv)

.

As a special case one obtains a characterization of the bounded operators from to . Since , they are completely characterized by the membership of their kernel in .

Figures

Figure 1.
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Mathematical Fragments

Equation (1)
Equation (3)
Equation (4)
Equation (5)
Equation (7)
Equation (10)
Proposition 1.

Let , , , and . Then the following properties hold:

(i)

is an isometry.

(ii)

is invariant with respect to and

(iii)

is continuous.

(iv)

.

(v)

Correspondence principle: Let . There exists such that if and only if , where denotes convolution on .

(vi)

Duality: For , , we have , where the duality is given by

(vii)

The definition of is independent of the particular choice of the window function from . In particular, for arbitrary non-zero .

Theorem 2.

Let . There exists a discrete subset and a collection of linear functionals , such that

and the sum converges absolutely in .

Equation (12)
Equation (13)
Equation (14)
Equation (15)
Equation (18)
Theorem 3.

Let and be two locally compact groups, and let be integrable, unitary, irreducible representations of , such that for .

(i)

Every kernel defines a unique linear operator by means of

for all and . The operator norm satisfies

and

(ii)

Kernel theorem: Conversely, if is bounded, then there exists a unique kernel such that 19 holds.

Equation (22)
Equation (23)
Equation (24)
Proposition 6.

Let and be -finite measure spaces, let , let , and let be the integral operator with kernel .

(i)

The operator is bounded from to if and only if . In that case

(ii)

The operator is bounded from to if and only if . In this case

Theorem 7.

Let with , and let be -moderate weights on . If is a bounded operator from to with kernel , then the following hold:

(i)

is bounded from to if and only if its kernel is in . Its operator norm satisfies

(ii)

is bounded from to if and only if its kernel is in . Its operator norm satisfies

Theorem 9.

Under the assumptions of Theorem 3, if the unique kernel of the operator satisfies , then is bounded from to .

Proposition 10.

If satisfies

for a compact neighborhood of , then there exist a discrete subset and constants such that

Corollary 11.

Let be a discrete set such that satisfies Equation 28 for and . If is a bounded operator from to with kernel , then the following hold:

(i)

is bounded if and only if

(ii)

Likewise is bounded if and only if

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Article Information

MSC 2010
Primary: 42B35 (Function spaces arising in harmonic analysis), 42C15 (General harmonic expansions, frames), 46A32 (Spaces of linear operators; topological tensor products; approximation properties), 47B34 (Kernel operators)
Keywords
  • Kernel theorems
  • coorbit theory
  • continuous frames
  • operator representation
  • tensor products
  • Hilbert-Schmidt operators
Author Information
Peter Balazs
Acoustics Research Institute, Austrian Academy of Sciences, Wohllebengasse 12-14, 1040 Vienna, Austria
peter.balazs@oeaw.ac.at
MathSciNet
Karlheinz Gröchenig
Faculty of Mathematics, University of Vienna, Oskar-Morgenstern-Platz 1, A-1090 Vienna, Austria
karlheinz.groechenig@univie.ac.at
Michael Speckbacher
Institut de Mathématiques de Bordeaux, Université de Bordeaux, 351, cours de la Libération - F 33405 Talence, France
speckbacher@kfs.oeaw.ac.at
MathSciNet
Additional Notes

The first and third authors were supported in part by the START-project FLAME (“Frames and Linear Operators for Acoustical Modeling and Parameter Estimation”, Y 551-N13) of the Austrian Science Fund (FWF).

The second author was supported in part by the project P31887-N32 of the Austrian Science Fund (FWF).

Journal Information
Transactions of the American Mathematical Society, Series B, Volume 6, Issue 11, ISSN 2330-0000, published by the American Mathematical Society, Providence, Rhode Island.
Publication History
This article was received on , revised on , and published on .
Copyright Information
Copyright 2019 by the authors under Creative Commons Attribution-Noncommercial 3.0 License (CC BY NC 3.0)
Article References
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  • DOI 10.1090/btran/42
  • MathSciNet Review: 4031098
  • Show rawAMSref \bib{4031098}{article}{ author={Balazs, Peter}, author={Gr\"ochenig, Karlheinz}, author={Speckbacher, Michael}, title={Kernel theorems in coorbit theory}, journal={Trans. Amer. Math. Soc. Ser. B}, volume={6}, number={11}, date={2019}, pages={346-364}, issn={2330-0000}, review={4031098}, doi={10.1090/btran/42}, }

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