International Journal of Analysis

Volume 2013 (2013), Article ID 681573, 4 pages

http://dx.doi.org/10.1155/2013/681573

## On Compactness of Embeddings of Fourier-Lebesgue Spaces into Modulation Spaces

Department of Mathematics, East Stroudsburg University of Pennsylvania, East Stroudsburg, PA, USA

Received 7 October 2013; Accepted 18 November 2013

Academic Editor: Remi Léandre

Copyright © 2013 Yevgeniy V. Galperin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

It is shown that, for a certain range of parameters, embeddings of Fourier-Lebesgue spaces into modulation spaces are compact.

#### 1. Introduction

In [1], Galperin and Gröchenig studied the question of how changing the requirements on smoothness and decay of and affects the lower bound in the uncertainty principle. They derived a class of uncertainty principles in the form and partially characterized the range of the parameters , , , , , , , and for which (1) holds. Here is the Fourier transform of normalized as and the the quantities and are used as measures of the concentration of in time and frequency, respectively. For a fixed , a so-called window function, the STFT of a tempered distribution with respect to is defined by where the translation and modulation operators are defined by and . To measure the joint time-frequency concentration of a function , the mixed weighted Lebesgue norm is imposed on the short-time Fourier transform (STFT) of . The theory of mixed-norm Lebesgue spaces is developed in [2].

The uncertainty principles of form (1) are equivalent to embeddings of Fourier-Lebesgue spaces into modulation spaces. For a fixed , define by the (quasi-)norm , and then the uncertainty principle (1) is equivalent to the embedding where denotes the space of the tempered distributions whose Fourier transform is in .

In this paper, we show that embeddings (4) are compact. We prove the following theorem.

Theorem 1. *Let , , and . Suppose that and .**If
**
with all factors being nonnegative, then is compactly embedded in .*

The factors on the left side of (5) are quite natural. When they are both positive, and . Since this is not enough to guarantee that (because the modulation space norm measures the decay of in time and in frequency *simultaneously*, whereas the Lebesgue space norms of and treat time and frequency as separate inputs), the term on the right side of (5) indicates the exact measure of additional decay that has to be imposed on and . However, the strict inequality in (5) implies some *excessive* decay, which results in tightness of the STFT on sets bounded in .

It is interesting to compare Lemma 6 and Theorem 1 with the results obtained in [3, Theorem 3.2], which is concerned with compactness of embeddings into modulation space . Whereas the weights used in [3] assume the same rate of decay of the short-time Fourier transform in the time and frequency variables, the weights used in this paper differentiate between these two rates. Thus, the result proved in [3] is not directly applicable to our case.

Our result relies on the following criterion of compactness in modulation spaces in terms of tightness of the STFT.

Theorem 2 (see [4, Theorem 5]). *Assume that , , and is a closed and bounded subset of . Then is compact in if and only if, for all , there exists a compact set , such that
*

*Remark.* In [4], Theorem 2 was proved in the context of the co-orbit spaces (with more general weight functions) for the case . However, the same argument works for , .

For the theory of modulation spaces we refer to [5, Chapter 11-12], [6] and to the original literature [7–9].

It is shown in [1] that condition (5) is optimal. If the inequality is reversed, is not embedded in .

#### 2. Definitions and Preliminary Results

We first provide the necessary definitions and tools. Our notation and definitions are consistent with those in [5].

##### 2.1. Weights and Mixed Norm Spaces

To alleviate notation, we write . We need the following lemma for weighted mixed norm spaces.

Lemma 3 (Hölder’s inequality). *Let and . Write and . Then
**
whenever the right-hand side is finite.*

*Proof. *We write the left-hand side as

Next apply Hölder’s inequality with exponents and to the integral in and with exponents and to the integral in . This yields
as desired.

We will also use the following elementary embedding.

Lemma 4. *Suppose that . Then if and only if .*

The following technical lemma about weighted mixed norms of certain characteristic functions is instrumental for the main embedding result.

Lemma 5 (see [1]). *Let , , and . Define and .**Then provided that
**Furthermore, provided that
*

#### 3. Proof of the Main Result

In order to prove Theorem 1, we first establish compactness of certain embeddings between modulation spaces.

Lemma 6. *Assume that , , and . If
**
with all factors nonnegative, then is compactly embedded in .*

*Proof. *We split the time-frequency plane into the two regions and for some to be determined later, and we estimate the modulation space (quasi-)norm of accordingly by
We then apply Hölder’s inequality (Lemma 3) to each term and use Lemma 5. Writing and , we obtain that

Lemma 5 implies that , whenever

Equivalently,

Similarly, we obtain for the second term that
where and . By Lemma 5 we have provided that
or equivalently,
Finally, if (12) holds, then there exists so that both (16) and (19) and all factors are positive. Hence, and . It follows that, for a given , there exist compact sets , such that
Define . The combination of (14), (17), and (20) yields that
Therefore, by Theorem 2, the embedding is compact.

The next lemma relates weighted spaces to modulation spaces and can be considered a version of the Hausdorff-Young inequality for the STFT. For more general inequalities see [10, Section ].

Lemma 7 (see [1, 11]). *Suppose that . Then *(a)* and
where is independent of and ,*(b)* and
where is independent of and .*

The combination of Lemmas 6 and 7 leads to Theorem 1.

*Proof of Theorem 1. *Following the proof of the main result in [1], we distinguish several cases.*Case 1.* If and , then and by Lemma 7. As a consequence of (5), Lemma 6 is applicable and thus is compactly embedded in . Combining the above, we obtain that is compactly embedded in .*Case 2.* , .

By continuity there exists such that

The first inequality in (24) implies that and thus by Lemma 4. In view of (5) Case 1 is now applicable with instead of , and we obtain the compact embedding
*Case 3.* , is similar.*Case 4.* .

By continuity we may choose and , so that the inequalities , and
hold simultaneously. It follows that and by Lemma 4 and that is compactly embedded in by Lemmas 6 and 7. Therefore is compactly embedded in , as desired. The theorem is proved completely.

#### Acknowledgments

The author would like to thank K. Gröchenig and H. G. Feichtinger for inspiring discussions and important suggestions.

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