Abstract
We deal with kernel theorems for modulation spaces. We completely characterize the continuity of a linear operator on the modulation spaces \(M^p\) for every \(1\le p\le \infty \), by the membership of its kernel in (mixed) modulation spaces. Whereas Feichtinger’s kernel theorem (which we recapture as a special case) is the modulation space counterpart of Schwartz’ kernel theorem for tempered distributions, our results do not have a counterpart in distribution theory. This reveals the superiority, in some respects, of the modulation space formalism over distribution theory, as already emphasized in Feichtinger’s manifesto for a post-modern harmonic analysis, tailored to the needs of mathematical signal processing. The proof uses in an essential way a discretization of the problem by means of Gabor frames. We also show the equivalence of the operator norm and the modulation space norm of the corresponding kernel. For operators acting on \(M^{p,q}\) a similar characterization is not expected, but sufficient conditions for boundedness can be stated in the same spirit.
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1 Introduction
Schwartz’ kernel theorem certainly is one of the most important results in modern functional analysis. It states, in the framework of tempered distributions, that every linear continuous operator \(A:\mathcal {S}(\mathbb {R}^d)\rightarrow \mathcal {S}'(\mathbb {R}^d)\) can be regarded as an integral operator in a generalized sense, namely
in the sense of distributions, for some kernel \(K\in \mathcal {S}'({\mathbb {R}^{2d}})\), and vice versa [21]. We write, formally,
This result provides a general framework that includes most of the operators of interest in harmonic analysis. However, for many applications in time-frequency analysis and mathematical signal processing the spaces \(\mathcal {S}(\mathbb {R}^d)\) and \(\mathcal {S}'(\mathbb {R}^d)\) can be fruitfully replaced by the modulation spaces \(M^1(\mathbb {R}^d)\) and \(M^\infty (\mathbb {R}^d)\), respectively, introduced by H. Feichtinger in [14] and nowadays widely used as a fundamental tool in time-frequency analysis (see [19] and also Feichtinger’s manifesto for a postmodern harmonic analysis [15]). One of the obvious advantages is that \(M^1(\mathbb {R}^d)\) and \(M^\infty (\mathbb {R}^d)\) are Banach spaces; secondly their norm gives a direct and transparent information on the time-frequency concentration of a function or tempered distribution. The same holds, more generally, for a whole scale of intermediate spaces \(M^p(\mathbb {R}^d)\), \(1\le \ p\le \infty \), as well as the more general mixed norm spaces \(M^{p,q}(\mathbb {R}^d)\), \(1\le p,q\le \infty \).
In short, for \((x,\xi )\in \mathbb {R}^d\times \mathbb {R}^d\), define the time-frequency shifts \(\pi (x,\xi )\) by
Then \(M^{p,q}(\mathbb {R}^d)\) is the space of tempered distributions f in \(\mathbb {R}^d\) such that the function
for some (and therefore any) window \(g\in \mathcal {S}(\mathbb {R}^d){\setminus }\{0\}\), is in \(L^{p,q}({\mathbb {R}^{2d}})\), endowed with the obvious norm (see Sect. 2 below for details). We also set \(M^p(\mathbb {R}^d)=M^{p,p}(\mathbb {R}^d)\). Weighted versions are also used in the literature but here we limit ourselves, for simplicity, to the unweighted case.
Now, a kernel theorem in the framework of modulation spaces was announced in [11] and proved in [16]; see also [19, Theorem 14.4.1]. It states that linear continuous operators \(A:M^1(\mathbb {R}^d)\rightarrow M^\infty (\mathbb {R}^d)\) are characterized by the membership of their distributional kernel K to \(M^\infty ({\mathbb {R}^{2d}})\).
In this note we provide a similar characterization of linear continuous operators acting on the following spaces:
-
\(M^1(\mathbb {R}^d)\rightarrow M^p(\mathbb {R}^d)\), for a fixed \(1\le p\le \infty \)
-
\(M^p(\mathbb {R}^d)\rightarrow M^\infty (\mathbb {R}^d)\), for a fixed \(1\le p\le \infty \)
-
\(M^p(\mathbb {R}^d)\rightarrow M^p(\mathbb {R}^d)\), for every \(1\le p\le \infty \).
In all cases the characterization is given in terms of the membership of their distributional kernels to certain mixed modulation spaces, first introduced and studied in [4]. The proof uses in an essential way a discretization of the problem by means of Gabor frames. We also show the equivalence of the operator norm and the modulation space norm of the corresponding kernel. We address to [1, Theorem 6] for a related result.
These results seem remarkable; no such a characterization is known, for example, for linear continuous operators from \(\mathcal {S}(\mathbb {R}^d)\) into itself and similarly from \(\mathcal {S}'(\mathbb {R}^d)\) into itself. This again shows the superiority, in some respects, of the modulation space framework over distribution theory.
For operators acting on mixed-norm modulation spaces \(M^{p,q}(\mathbb {R}^d)\rightarrow M^{p,q}(\mathbb {R}^d)\) such a characterization is not expected, as we will see in Sect. 3 below. We give however sufficient conditions for boundedness in the same spirit.
Let us also observe that in the literature there are plenty of sufficient conditions for operators in certain classes (Fourier multipliers, localization operators, pseudodifferential operators, Fourier integral operators) to be bounded \(M^p(\mathbb {R}^d)\rightarrow M^p(\mathbb {R}^d)\) for every \(1\le p\le \infty \), or \(M^{p,q}(\mathbb {R}^d)\rightarrow M^{p,q}(\mathbb {R}^d)\) for every \(1\le p,q\le \infty \). For example it is known that pseudodifferential operators with Weyl symbol in \(M^{\infty ,1}\) are in fact bounded \(M^{p,q}(\mathbb {R}^d)\rightarrow M^{p,q}(\mathbb {R}^d)\) for every \(1\le p,q\le \infty \) [6, 19, 20, 27, 28] (see also [25]). On the other hand, the Fourier multiplier with symbol \(e^{i|\xi |^2}\) is still bounded on these spaces [3], although that symbol does not belong to \(M^{\infty ,1}({\mathbb {R}^{2d}})\). Similarly, it is easy to see that any linear continuous operator \(A:\mathcal {S}(\mathbb {R}^d)\rightarrow \mathcal {S}'(\mathbb {R}^d)\) whose Gabor matrix enjoys decay estimates such as
for some \(s>2d\), \(g\in \mathcal {S}(\mathbb {R}^d){\setminus }\{0\}\), and bi-Lipschitz mapping \(\chi :{\mathbb {R}^{2d}}\rightarrow {\mathbb {R}^{2d}}\), is bounded \(M^p(\mathbb {R}^d)\rightarrow M^p(\mathbb {R}^d)\) for every \(1\le p\le \infty \) [9] (see also [7,8,9]). But once again this condition is not necessary at all.
The very simple characterization provided in the present paper when \(p=q\) therefore includes, at least implicitly, all these continuity results on \(M^p\).
2 Backgrounds on Time-Frequency Analysis
2.1 Mixed Norm Spaces
We summarize the main properties of mixed norm spaces, we refer to [2] for a full treatment of this subject.
Consider measure spaces \((X_i,\mu _i)\), indices \(p_i\in [1,\infty ]\), with \(i=1,\dots ,d\). Then the mixed norm space \(L^{p_1,p_2,\dots , p_d}(X_1\times X_2\times \dots \times X_d;\mu _1\times \mu _2\times \dots \times \mu _d)\) consists of the measurable functions \(F:X_1\times X_2\times \dots \times X_d\rightarrow \mathbb {C}\) such that the following norm is finite:
with standard modification when \(p_i=\infty \) for some i.
If \(X_i=\mathbb {R}\) and \(\mu _i\) is the Lebesgue measure on \(\mathbb {R}\) for every \(i=1,\dots ,d\), we simply write \(L^{p_1,\dots , p_d}\). If each \(X_i\) is a countable set and the corresponding measure \(\mu _i\) is the counting measure, we use the notation \(\ell ^{p_1,\dots , p_d}(X_1\times X_2\times \dots \times X_d)\).
The mixed norm spaces \(L^{p_1,p_2,\dots , p_d}(X_1\times X_2\times \dots \times X_d;\mu _1\times \mu _2\times \dots \times \mu _d)\) are Banach spaces, generalizations of the classical \(L^p\) and \(\ell ^p\) spaces, cf. [2].
2.2 Modulation Spaces
For \(x,\xi \in \mathbb {R}^d\), define the translation operator \(T_x\) and modulation operator \(M_\xi \) by
For \(z=(x,\xi )\), the composition of operators \(\pi (z)=M_\xi T_x\) is called a time-frequency shift of the phase space \({\mathbb {R}^{2d}}\).
For a fixed non-zero \(g \in \mathcal {S}(\mathbb {R}^d)\), the short-time Fourier transform (STFT) of \(f \in \mathcal {S}' (\mathbb {R}^d) \) with respect to the window g is given by
where the integral represents the (anti-)duality between \(\mathcal {S}'\) and \(\mathcal {S}\). The short-time Fourier transform gives information about the time-frequency content of the signal f: indeed, roughly speaking, it can be seen as a localized Fourier transform of f in a neighbourhood of x.
The STFT is the basic tool in the definition of modulation spaces. Indeed, modulation space norms are a measure of the joint time-frequency distribution of \(f\in \mathcal {S}'\). For their basic properties we refer [10, 12, 13] (see also [4, 22,23,24]) and the textbook [19].
Definition 2.1
Fix \(g\in \mathcal {S}(\mathbb {R}^d)\), \(p=(p_1,\dots ,p_d)\), \(q=(q_1,\dots ,q_d)\), \(p_i,q_i\in [1,\infty ]\), \(i=1,\dots ,d\). Then
where
If \(p=p_1,\dots ,p_d,\quad q=q_1,\dots ,q_d\), we come back to the classical modulation spaces of distributions \(f\in \mathcal {S}'(\mathbb {R}^d)\) such that
(cf. [14]). The extension of the original modulation spaces in Definition 2.1 was widely studied and applied to the investigation of boundedness and sampling properties for pseudodifferential operators in [22,23,24].
To state our kernel theorems we need a further extension of Definition 2.1, that was introduced by Bishop in [4], in her study of Schatten p-class properties for integral operators. This is a natural generalization of the classical modulation spaces, as will be clear in the sequel.
We shall mainly use the notation from [4]. From now on we assume that c is a permutation of the set \(\{1,\dots ,2d\}\). We identify c with the linear bijection
Definition 2.2
Consider \(g\in \mathcal {S}(\mathbb {R}^d)\) and let c be a permutation corresponding to the map \(\tilde{c}\) as above. Then \(M(c)^{p_1,p_2,\dots ,p_{2d}}\) is the mixed modulation space of tempered distributions \(f\in \mathcal {S}'(\mathbb {R}^d)\) for which
If \(p=p_1=p_2=\dots =p_d,\quad q=p_{d+1}=p_{d+2}=\dots =p_{2d} \) we simply write \(M(c)^{p,q}\); if \(p=p_i\), \(i=1,\dots ,2d\), we shorten to \(M(c)^{p}\).
Remark 2.3
-
(i)
If c is the identity permutation and the indices satisfy
$$\begin{aligned} p=p_1=p_2=\dots =p_d,\quad q=p_{d+1}=p_{d+2}=\dots =p_{2d} \end{aligned}$$then \(M(c)^{p_1,p_2,\dots ,p_{2d}}=M^{p,q}(\mathbb {R}^d)\) is the original modulation space introduced by Feichtinger in [14]. If the indices satisfy
$$\begin{aligned} p=p_i,\quad i=1,\dots ,2d, \end{aligned}$$given any permutation c, a simple change of variables yields
$$\begin{aligned} M(c)^{p}=M^p(\mathbb {R}^d). \end{aligned}$$ -
(ii)
If c is the identity permutation and \(p=(p_1,\dots ,p_d),\, q=(q_1,\dots ,q_d)\), we come back to the modulation spaces in Definition 2.1.
-
(iii)
In general the mixed modulation spaces differ from the classical ones of Definition 2.1. A simple example is provided by the permutation
$$\begin{aligned} c_0(1,2,\dots ,d,d+1,\dots ,2d)=(d+1,d+2,\dots ,2d,1,2,\dots , d). \end{aligned}$$(5)If we choose
$$\begin{aligned} p=p_1=p_2=\dots =p_d,\quad q=p_{d+1}=p_{d+2}=\dots =p_{2d} \end{aligned}$$then it is easy to see that
$$\begin{aligned} M^{p,q}(c_0)=W(\mathcal {F}L^p,L^q)(\mathbb {R}^d), \end{aligned}$$the Wiener amalgam spaces of distributions \(f\in \mathcal {S}'(\mathbb {R}^d)\) such that
$$\begin{aligned} \Vert f\Vert _{W(\mathcal {F}L^p,L^q)(\mathbb {R}^d)}=\left( \int _{\mathbb {R}^d}\left( \int _{\mathbb {R}^d}|V_g f (x,\xi )|^p\,d\xi \right) ^{\frac{q}{p}} dx \right) ^\frac{1}{q} <\infty \end{aligned}$$for some window function \(g\in \mathcal {S}(\mathbb {R}^d){\setminus }\{0\}\), cf. [13].
It can be shown (cf. [4]) that the definition of mixed modulation spaces is independent of the choice of the window g in \(\mathcal {S}(\mathbb {R}^d)\), with different windows giving equivalent norms. Furthermore, this fact also holds for g in the larger space \(M^1(\mathbb {R}^d)\), as follows by the subsequent Theorem 2.4 (cf. [4]), which gives the inversion formula on \(M(c)^{p_1,\dots , p_{2d}}\).
Theorem 2.4
Suppose c is a permutation of \(\{1,\dots ,2d\}\), and for a measurable function \(\psi :\mathbb {R}^d\rightarrow \mathbb {C}\) define formally the operator \(\Upsilon _\psi \) by
-
(i)
Given \(\psi , g\in M^1(\mathbb {R}^d)\), \(p_1,\dots , p_{2d}\in [1,\infty ]\), and \(f\in M(c)^{p_1,\dots , p_{2d}}\), then
$$\begin{aligned} \Upsilon _\psi (V_g f\circ \tilde{c})=\langle \psi , g\rangle f. \end{aligned}$$ -
(ii)
Different windows in \(M^1(\mathbb {R}^d)\) define equivalent norms on \( M(c)^{p_1,\dots , p_{2d}}\).
Observe that the operator \(\Upsilon _\psi \) in (6) can be seen as a permuted synthesis operator.
Corollary 2.5
For any \(p_1,\dots , p_{2d}\in [1,\infty ]\), \(M(c)^{p_1,\dots , p_{2d}}\) is a Banach space.
We also have the expected duality result.
Theorem 2.6
If \(p_1,\dots , p_{2d}\in [1,\infty )\), \(M(c)^{p'_1,\dots , p'_{2d}}\) is the dual space of \(M(c)^{p_1,\dots , p_{2d}}\), where \(p'_i\in (1,\infty ]\) satisfies \(1/p_i+1/p_i'=1\).
2.3 Gabor Frames
Given a lattice \(\Lambda \) in \({\mathbb {R}^{2d}}\) and a non-zero square integrable function g (called window) on \(\mathbb {R}^d\) the system
is called a Gabor frame if it is a frame for \(L^2(\mathbb {R}^d)\), that is, there exist constants \(0<A\le B\) such that
If (7) holds, then there exists \(\gamma \in L^2(\mathbb {R}^d)\) (the so-called dual window), such that \(\mathcal {G}(\gamma ,\Lambda )\) is a frame for \(L^2(\mathbb {R}^d)\) and every \(f\in L^2(\mathbb {R}^d)\) can be expanded as
with unconditional convergence in \(L^2(\mathbb {R}^d)\).
From now on we shall work with the quadratic lattice \(\Lambda =\alpha \mathbb {Z}^{2d}\), for suitable \(\alpha >0\).
If the window function belongs to the Feichtinger’s algebra \(M^1(\mathbb {R}^d)\), then a Gabor frame for \(L^2(\mathbb {R}^d)\) is a frame also for mixed modulation spaces (cf. [4, Theorem 4.6]).
Theorem 2.7
Let g be a window function in \(M^1(\mathbb {R}^d)\) such that \(\mathcal {G}(g,\Lambda )\) is a frame for \(L^2(\mathbb {R}^d)\) with a dual frame \(\mathcal {G}(\gamma ,\Lambda )\). Consider \(p_1,\dots ,p_{2d} \in [1,\infty ]\).
-
(i)
There exist constants \(0<A\le B\) independent of \(p_1,\dots ,p_{2d}\) such that
$$\begin{aligned} A\Vert f\Vert _{M(c)^{p_1,\dots , p_{2d}}}\le \Vert V_g f\circ {\tilde{c}}|_{\Lambda }\Vert _{\ell ^{p_1,\dots ,p_{2d}}}\le B\Vert f\Vert _{M(c)^{p_1,\dots , p_{2d}}},\quad \forall f \in {M(c)^{p_1,\dots , p_{2d}}}. \end{aligned}$$ -
(ii)
We have
$$\begin{aligned} f=\sum _{\lambda \in \Lambda }\langle f, \pi (\lambda )g \rangle \pi (\lambda )\gamma = \sum _{\lambda \in \Lambda }\langle f,\pi (\lambda )\gamma \rangle \pi (\lambda ) g, \end{aligned}$$(9)with unconditional convergence in \(M(c)^{p_1,\dots , p_{2d}}\) if \(p_1,\dots ,p_{2d}\in [1,\infty )\), and weak* convergence in \(M^\infty (\mathbb {R}^d)\) if \(p_1,\dots ,p_{2d}\in [1,\infty ]\).
This generalizes the basic fact, valid for the identity permutation, that the coefficient operator \(C_g\) and the reconstruction operator \(D_\gamma \), defined by
satisfy
with \(D_\gamma C_g=I\), the identity on \(M^{p,q}(\mathbb {R}^d)\), cf. (9), and similarly if we interchange the windows g and \(\gamma \).
3 Kernel Theorems
In this section we will present the characterization of continuity properties on modulation spaces of integral operators given by (1).
We need the following result (see e.g. Tao’s Lecture Notes [26, Proposition 5.2]).
Proposition 3.1
Assume that \((X,\nu _X)\), \((Y,\mu _Y)\) are measure spaces and \(p\in [1,\infty ]\). Suppose that \(K:X\times Y\rightarrow \mathbb {C}\), and \(\Vert K(\cdot ,y)\Vert _{L^p(X)} \) is uniformly bounded on Y. Then the operator A with kernel K maps \(L^1(X)\) into \(L^p(Y)\) and
Similarly, we have a dual statement (see e.g. [26, Proposition 5.4]).
Proposition 3.2
Assume that \((X,\nu _X)\), \((Y,\mu _Y)\) are measure spaces and \(p\in [1,\infty ]\). Suppose that \(K:X\times Y\rightarrow \mathbb {C}\), and \(\Vert K(x,\cdot )\Vert _{L^{p'}(Y)} \) is uniformly bounded on Y. Then the operator A with kernel K maps \(L^p(X)\) into \(L^\infty (Y)\) and
Let us introduce the permutation \(c_1\) of the set \(\{1,\dots , 4d\}\) with related \(\tilde{c}_1\) given by, for \(x_i\in \mathbb {R}^d\), \(i=1,\dots ,4\),
Recall that we only consider lattices of the form \(\Lambda =\alpha {\mathbb {Z}^{2d}}\).
Theorem 3.3
Suppose \(p\in [1,\infty ]\). Let g be a window function in \(\mathcal {S}(\mathbb {R}^d)\) such that \(\mathcal {G}(g,\Lambda )\) is a frame for \(L^2(\mathbb {R}^d)\) with a dual frame \(\mathcal {G}(\gamma ,\Lambda )\). A linear continuous operator \(A:\mathcal {S}(\mathbb {R}^d)\rightarrow \mathcal {S}'(\mathbb {R}^d)\) is bounded \(M^1(\mathbb {R}^d)\rightarrow M^p(\mathbb {R}^d)\) if and only if its distributional kernel K satisfies
where \(G=g\otimes \bar{\gamma }\).
Moreover
Proof
Assume first that (15) holds. For \(\lambda =(\lambda _1,\lambda _2), \mu =(\mu _1,\mu _2)\in \Lambda \), observe that the Gabor matrix of the operator A is given by
This matrix turns out to be the kernel of the operator \(\tilde{A}:=C_g A D_\gamma \), acting on sequences on \(\Lambda \), where the coefficient operator \(C_g\) and synthesis operator \(D_\gamma \) are defined in (10). By (15) and Proposition 3.1, \(\tilde{A}\) is a bounded operator \(\ell ^1(\Lambda )\rightarrow \ell ^p(\Lambda )\). Since \(C_g: M^p(\mathbb {R}^d)\rightarrow \ell ^p (\Lambda )\) and \(D_\gamma : \ell ^p(\Lambda )\rightarrow M^{p}(\mathbb {R}^d)\) are continuous, we have \(A=D_\gamma \tilde{A} C_g: M^1(\mathbb {R}^d)\rightarrow M^p(\mathbb {R}^d)\), with
Vice versa, consider the finite dimensional space
and the natural projection \(P_N:\,\ell ^\infty (\Lambda )\rightarrow E_N\). Consider the composition operator
This operator is represented by the (finite) matrix
Using formula (12) in Proposition 3.1 (we work on finite sets, so that the assumptions are trivially satisfied) we have
Since the right-hand side is independent of N, taking the supremum with respect to N, we obtain
This concludes the proof. \(\square \)
We observe that, given a frame \(\mathcal {G}(g,\Lambda )\) for \(L^2(\mathbb {R}^d)\), \(\Lambda =\alpha \mathbb {Z}^{2d}\), with dual frame \(\mathcal {G}(\gamma ,\Lambda )\), then \(\mathcal {G}(\bar{\gamma },\Lambda )\) is still a frame for \(L^2(\mathbb {R}^d)\) and \(\mathcal {G}(g\otimes \bar{\gamma },\Lambda \times \Lambda )\) is a frame for \(L^2({\mathbb {R}^{2d}})\). Using Theorem 2.7 we can therefore reformulate the previous result in terms of mixed modulation spaces.
Corollary 3.4
Suppose \(p\in [1,\infty ]\). A linear continuous operator \(A: \mathcal {S}(\mathbb {R}^d)\rightarrow \mathcal {S}'(\mathbb {R}^d)\) is bounded from \(M^1(\mathbb {R}^d)\) into \(M^p(\mathbb {R}^d)\) if and only if its distributional kernel K satisfies
where \(c_1\) is identified with (14).
Moreover
Remark 3.5
When \(p=\infty \), condition (18) becomes \(K\in M^\infty ({\mathbb {R}^{2d}})\) and we recapture Feichtinger’s kernel Theorem [16].
A similar characterization of bounded operators \(A: M^p(\mathbb {R}^d) \rightarrow M^{\infty }(\mathbb {R}^d)\) can be obtained arguing as above, using Proposition 3.2, (16) and Theorem 2.7. Precisely, define the permutation \(c_2\) of the set \(\{1,\dots , 4d\}\) with related \(\tilde{c}_2\) by
for \(x_i\in \mathbb {R}^d\), \(i=1,\dots ,4\).
Theorem 3.6
Suppose \(p\in [1,\infty ]\). A linear continuous operator \(A: \mathcal {S}(\mathbb {R}^d)\rightarrow \mathcal {S}'(\mathbb {R}^d)\) is bounded from \(M^p(\mathbb {R}^d)\) into \(M^\infty (\mathbb {R}^d)\) if and only if its distributional kernel K satisfies
where \(1/p+1/p'=1\).
Moreover
As a consequence of Theorems 3.3 and 3.6 we have the following result.
Corollary 3.7
Let \(A:\mathcal {S}(\mathbb {R}^d) \rightarrow \mathcal {S}'(\mathbb {R}^d)\) be an operator with distributional kernel \(K\in \mathcal {S}'({\mathbb {R}^{2d}})\). The following conditions are equivalent:
-
(i)
\(A: M^p(\mathbb {R}^d)\rightarrow M^p(\mathbb {R}^d)\), bounded for every \(1\le p\le \infty \).
-
(ii)
\(A: M^1(\mathbb {R}^d)\rightarrow M^1(\mathbb {R}^d)\) and \(A: M^\infty (\mathbb {R}^d)\rightarrow M^\infty (\mathbb {R}^d)\) bounded.
-
(iii)
\(K\in M(c_1)^{1,\infty }\cap M(c_2)^{1,\infty }\).
Proof
All the equivalences follow trivially from Theorems 3.3 and 3.6 but \((ii) \Rightarrow (i)\), which follows by complex interpolation for modulation spaces [14]. \(\square \)
4 Operators Acting on \(M^{p,q}\)
Let us now consider the problem of boundedness of an integral operator on \(M^{p,q}(\mathbb {R}^d)\), \(1\le p,q\le \infty \). We no longer expect a characterization as in the case \(p=q\), studied in the previous section (see Remark 4.2 below). However sufficient conditions in the same spirit can be stated.
Consider the permutations \(c_3\) and \(c_4\) of the set \(\{1,\dots , 4d\}\) with related \(\tilde{c}_3\), \(\tilde{c}_4\) defined by
and
for \(x_i\in \mathbb {R}^d\), \(i=1,\dots ,4\).
The following result was proved in [8, Proposition 5.1] (a continuous version is contained in [5, Proposition 2.4]).
Proposition 4.1
Consider an at most countable index set J and the operator defined on sequences \((a_{\lambda _1,\lambda _2})\) on the set \(\Lambda = J\times J\) by
-
(i)
If \(K\circ \tilde{c_3}\in \ell ^{1,\infty ,1,\infty }(J^4)\), then A is continuous on \(\ell ^{\infty ,1}(\Lambda )\). Moreover,
$$\begin{aligned} \Vert A\Vert _{\ell ^{\infty ,1}\rightarrow \ell ^{\infty ,1}}\le \Vert K\circ \tilde{c_3}\Vert _{\ell ^{1,\infty ,1,\infty }}. \end{aligned}$$(23) -
(ii)
If \(K\circ \tilde{c_4}\in \ell ^{1,\infty ,1,\infty }(J^4)\), then A is continuous on \(\ell ^{1,\infty }(\Lambda )\), with
$$\begin{aligned} \Vert A\Vert _{\ell ^{1,\infty }\rightarrow \ell ^{1,\infty }}\le \Vert K\circ \tilde{c_4}\Vert _{\ell ^{1,\infty ,1,\infty }}. \end{aligned}$$(24) -
(iii)
If K satisfies assumptions (i) and (ii) and moreover \(K\circ c_0, K\in \ell ^{1,\infty }(\Lambda \times \Lambda )\), where the permutation \(c_0\) is defined in (5), then the operator A is continuous on \(\ell ^{p,q}(\Lambda )\), for every \(1\le p,q\le \infty \).
Remark 4.2
Observe that the reverse inequalities in (23), (24) do not hold, even if one allows a multiplicative constant. Consider, for example, the estimate (23), with \(J=\{0,1,\ldots , N-1\}\), \(N\in \mathbb {N}\), where
is the Fourier matrix. We have
so that
but
which blows up, as \(N\rightarrow +\infty \), at a lower rate.
Let us verify (25). We have
with \(\tilde{a}_{\mu _1}:=\sum _{\mu _2\in J}a_{\mu _1,\mu _2}\). Now, using the embeddings
and the fact that F is a unitary transformation of \(\ell ^2(J)\) we get (25).
As a consequence, we obtain the following boundedness result.
Consider the permutations \(c_5\) and \(c_6\) of the set \(\{1,\dots , 4d\}\) with related \(\tilde{c}_5\), \(\tilde{c}_6\) defined by
and
Theorem 4.3
-
(i)
A linear continuous operator \(A: \mathcal {S}(\mathbb {R}^d)\rightarrow \mathcal {S}'(\mathbb {R}^d)\) is bounded on \(M^{\infty ,1}(\mathbb {R}^d)\) if its distributional kernel K satisfies
$$\begin{aligned} K\in M(c_5)^{1,\infty ,1,\infty }. \end{aligned}$$(28) -
(ii)
A linear continuous operator \(A: \mathcal {S}(\mathbb {R}^d)\rightarrow \mathcal {S}'(\mathbb {R}^d)\) is bounded on \(M^{1,\infty }(\mathbb {R}^d)\) if its distributional kernel K satisfies
$$\begin{aligned} K\in M(c_6)^{1,\infty ,1,\infty }. \end{aligned}$$(29)
Proof
The result is a consequence of (16), Proposition 4.1 and Theorem 2.7, by using the same arguments as in the first part of the proof of Theorem 3.3. \(\square \)
By interpolation we also obtain the following result.
Corollary 4.4
Let \(A:\mathcal {S}(\mathbb {R}^d) \rightarrow \mathcal {S}'(\mathbb {R}^d)\) be an operator with distributional kernel
Then \(A: M^{p',p}(\mathbb {R}^d)\rightarrow M^{p',p}(\mathbb {R}^d)\) continuously, for every \(1\le p\le \infty \), with \(1/p+1/p'=1\).
By combining Corollaries 3.7 and 4.4, we finally obtain the following result.
Corollary 4.5
Let \(A:\mathcal {S}(\mathbb {R}^d) \rightarrow \mathcal {S}'(\mathbb {R}^d)\) be an operator with distributional kernel
Then \(A: M^{p,q}(\mathbb {R}^d)\rightarrow M^{p,q}(\mathbb {R}^d)\) continuously, for every \(1\le p,q\le \infty \).
References
Balazs, P., Gröchenig, K.: A guide to localized frames and applications to Galerkin-like representations of operators. arXiv:1611.09692v1
Benedek, A., Panzone, R.: The space \(L^p\) with mixed-norm. Duke Math. J. 28, 301–324 (1961)
Bényi, A., Gröchenig, K., Okoudjou, K.A., Rogers, L.G.: Unimodular Fourier multipliers for modulation spaces. J. Funct. Anal. 246(2), 366–384 (2007)
Bishop, S.: Mixed modulation spaces and their applications to pseudodifferential operators. J. Math. Anal. Appl. 363, 255–264 (2010)
Cordero, E., Nicola, F.: Boundedness of Schrödinger type propagators on modulation spaces. J. Fourier Anal. Appl. 16, 311–339 (2010)
Cordero, E., Nicola, F.: Pseudodifferential operators on \(L^p\), Wiener amalgam and modulation spaces. Intern. Math. Res. Not. 10, 1860–1893 (2010)
Cordero, E., Nicola, F., Rodino, L.: Sparsity of Gabor representation of Schrödinger propagators. Appl. Comput. Harmon. Anal. 26(3), 357–370 (2009)
Cordero, E., Nicola, F., Rodino, L.: Time-frequency analysis of Fourier integral operators. Commun. Pure Appl. Anal. 9(1), 1–21 (2010)
Cordero, E., Gröchenig, K., Nicola, F., Rodino, L.: Wiener algebras of Fourier integral operators. J. Math. Pures Appl. 99, 219–233 (2013)
Feichtinger, H.G.: Banach convolution algebras of Wiener type. In: Proceedings of the Conference on Functions, Series, Operators, vol. I, II, pp. 509–524, 1983. North-Holland, Budapest (1980)
Feichtinger, H.G.: Un espace de Banach de distributions tempérées sur les groupes localement compacts abéliens. CR Acad. Sci. Paris Ser. A 290(17), 791–794 (1980)
Feichtinger, H.G.: Banach spaces of distributions of Wiener’s type and interpolation. In: Proceedings of the Conference Functional Analysis and Approximation, Oberwolfach August 1980, Internat. Ser. Numer. Math., vol. 69, pp. 153–165. Birkhäuser, Boston (1981)
Feichtinger, H.G.: Generalized amalgams, with applications to Fourier transform. Canad. J. Math. 42, 395–409 (1990)
Feichtinger, H.G.: Modulation spaces on locally compact abelian groups, Technical Report, University Vienna, 1983, and also in Wavelets and Their Applications, M. Krishna, R. Radha, S. Thangavelu, editors, Allied Publishers, 99–140, (2003)
Feichtinger, H.G.: Elements of postmodern harmonic analysis. In: Operator-Related Function Theory and Time-Frequency Analysis. The Abel Symposium, Oslo, Norway, August 20–24, pp. 77–105. Springer, New York 2015 (2012)
Feichtinger, H.G., Gröchenig, K.: Gabor frames and time-frequency analysis of distributions. J. Funct. Anal. 146(2), 464–495 (1997)
Feichtinger, H.G., Strohmer, T. (eds.): Gabor Analysis and Algorithms: Theory and Applications. Birkhäuser, Boston (1998)
Feichtinger, H.G., Strohmer, T. (eds.): Advances in Gabor Analysis. Applied and Numerical Harmonic Analysis. Birkhäuser Boston Inc., Boston (2003)
Gröchenig, K.: Foundations of Time-Frequency Analysis. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston, MA (2001)
Gröchenig, K.: Time-frequency analysis of Sjöstrand’s class. Revista Mat. Iberoam. 22(2), 703–724 (2006)
Hörmander, L.: The Analysis of Linear Partial Differential Operators I, Distribution Theory and Fourier Analysis, 2nd edn. Springer, Berlin (1990)
Molahajloo, S., Pfander, G.: Boundedness of pseudo-differential operators on \(L^p\), Sobolev and modulation spaces. Math. Model. Nat. Phenom. 8(1), 175–192 (2013)
Molahajloo, S., Okoudjou, K.A., Pfander, G.: Boundedness of multilinear pseudo-differential operators on modulation spaces. J. Fourier Anal. Appl. 22(6), 1381–1415 (2016)
Pfander, G.: Sampling of operators. J. Fourier Anal. Appl. 19(3), 612–650 (2013)
Sjöstrand, J.: An algebra of pseudodifferential operators. Math. Res. Lett. 1(2), 185–192 (1994)
Tao, T.: Lecture Notes 2 for 247 A: Fourier Analysis. www.math.ucla.edu/~tao/247a.1.06f/notes2.pdf
Toft, J.: Continuity properties for modulation spaces, with applications to pseudo-differential calculus. I. J. Funct. Anal. 207(2), 399–429 (2004)
Toft, J.: Continuity properties for modulation spaces, with applications to pseudo-differential calculus. II. Ann. Global Anal. Geom. 26(1), 73–106 (2004)
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This research was partially supported by the Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM), Italy.
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Communicated by Karlheinz Gröchenig.
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Cordero, E., Nicola, F. Kernel Theorems for Modulation Spaces. J Fourier Anal Appl 25, 131–144 (2019). https://doi.org/10.1007/s00041-017-9573-3
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DOI: https://doi.org/10.1007/s00041-017-9573-3