Unimodular multipliers on $\alpha$-modulation spaces: A revisit with new method under weaker conditions
Guoping Zhao, Weichao Guo

TL;DR
This paper introduces a new method to analyze the boundedness of unimodular multipliers on lpha-modulation spaces, extending previous results to a broader class under weaker conditions.
Contribution
It presents a novel approach based on Nicola--Primo--Tabacco's method, allowing boundedness results for a larger family of unimodular multipliers with fewer assumptions.
Findings
Boundedness of unimodular multipliers established under weaker conditions
Extended the class of multipliers for which boundedness holds
Introduced a new analytical method for lpha-modulation spaces
Abstract
By a new method derived from Nicola--Primo--Tabacco[24], we study the boundedness on -modulation spaces of unimodular multipliers with symbol . Comparing with the previous results, the boundedness result is established for a larger family of unimodular multipliers under weaker assumptions.
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Advanced Harmonic Analysis Research · Stability and Controllability of Differential Equations
Unimodular multipliers on -modulation spaces: A revisit with new method under weaker conditions
GUOPING ZHAO
School of Applied Mathematics, Xiamen University of Technology, Xiamen, 361024, P.R.China
and
WEICHAO GUO
School of Science, Jimei University, Xiamen, 361021, P.R.China
Abstract.
By a new method derived from Nicola–Primo–Tabacco [24], we study the boundedness on -modulation spaces of unimodular multipliers with symbol . Comparing with the previous results, the boundedness result is established for a larger family of unimodular multipliers under weaker assumptions.
Key words and phrases:
Unimodular multiplier, -modulation space, Fourier multiplier.
2010 Mathematics Subject Classification:
42B15, 42B35,42B37
1. Introduction and Preliminary
In this paper we study the Fourier multiplier in of the form
[TABLE]
which is called the unimodular multiplier with symbol , where is a real-valued function, and are Fourier transform and inverse Fourier transform respectively.
In order to solve the Cauchy problem for the nonlinear Schrödinger equation (NLS)
[TABLE]
where , and is a nonlinear function, e.g. with , one always considers its equivalent integral form
[TABLE]
and needs to make some elaborate (semi-)norm estimates for the linear part and the nonlinear part of the above integral form, e.g. Strichartz estimate, more precisely, the boundedness of on function spaces. It is known that is bounded iff , which is one of the reasons that we can not solve NLS in . Similar situation happens to the Besov spaces, i.e. is bounded on iff , see [23]. It is well-known that the (inhomogenous) Besov space is a frequency decomposition space associated with dyadic decomposition. Surprisingly, as a frequency decomposition space associated with uniform decomposition, the modulation space keeps the boundedness of for all . This phenomenon was first discovered by Bényi-Gröchenig-Okoudjou-Rogers [2], and then it was developed and sharpen by Miyachi-Nicola-Rivetti-Tabacco-Tomita [22]. Thanks to the boundedness of , and its fractional form between modulation spaces, we can solve NLS and the fractional Schrödinger equation with initial data belongs to modulation spaces for all , see [3, 16].
Modulation spaces was introduced firstly by Feichtinger [11] in 1983 to give a simultaneous description of temporal and frequency behavior for a function or distribution. The study of modulation has over time been transformed into a rich and multifaceted theory, providing basic insights into such topics as harmonic analysis, time-frequency analysis and partial differential equations. Nowadays, the theory has played more and more notable roles. One can refer [14, 25] for some basic properties of modulation spaces, and [10, 17, 19] for the production and convolution properties on (weighted) modulation spaces, and [28, 26, 36] for the boundedness of fractional integrals, and also [34] for the boundedness of Hausdorff operators on modulation spaces, and see [1, 2, 29, 3, 9] for the study of nonlinear evolution equations on modulation spaces. For the boundedness of unimodular multipliers between modulation spaces, one can also see some recent articles [8, 31, 24].
As mentioned before, modulation and Besov spaces are frequency decomposition spaces associated with uniform and dyadic decomposition respectively. As an intermediate decomposition between the dyadic and uniform decomposition, the -covering was first introduced by Ferchtinger [13, 12]. Then, using the -covering of the frequency plane, Gröbner [15] introduced the -modulation spaces for .
Accordingly, the -modulation space (concrete definition in Section 2), generated by the -covering, is introduced formally as the intermediate spaces between modulation space and Besov space. The space coincides with the modulation space when , and the (inhomogeneous) Besov space can be regarded as the limit case of as (see [15]). So, for the sake of convenience, we can view the Besov space as a special -modulation space and use to denote the inhomogeneous Besov space . It is worth mentioning that -modulation spaces is NOT the interpolation space between modulation and Besov spaces [18]. This fact reveals that the boundedness result on -modulation spaces can not be automatically valid by the corresponding results on modulation and Besov spaces.
Among numerous references on -modulation spaces, one can see [21, 27] for elementary properties of -modulation spaces, see [20] for the full characterization of embedding between -modulation spaces, see [30, 33, 35] for the research of boundedness of fractional integrals and see [4, 5, 6, 7] for the study of pseudodifferential operators and nonlinear appoximation. We also point out that the boundedness of unimodular multipliers on -modulation spaces has been studied in [32, 31], in which if we take , the result is accordance to that in [22]. Denote by the integer part of . The main boundedness result on -modulation space of unimodular multipliers can be stated as follows.
Theorem A ([32, 31]) Let . Assume that is a real-valued function of class which satisfies
[TABLE]
for all . Then we have
[TABLE]
with , where the constant is independent of .
In order to compare with the results of this paper, Theorem A is stated by an equivalent form of the corresponding boundedness results in [32, 31], where the potential loss has been proved to be sharp.
Recently, in the case of modulation space, Nicola-Primo-Tabacoo [24] use a more soft and elegant method to deal with the boundedness of unimodular multipliers. Inspired by this, we further consider the boundedness of unimodular multipliers on -modulation spaces.
More precisely, we establish the boundedness on -modulation spaces of by a new method derived from [24]. In contrast to the previous results as in [32, 31], our results is valid under a weaker condition, see Remark 1.2 for more details. Since the -covering for is not uniform bounded as the case of modulation space (), we refine the technique in [24], making it more efficient and adaptable to our situation.
Denote by . Our main result is stated as follows.
Theorem 1.1** (Boundedness of unimodular multiplier on -modulation space).**
Let , , and be a real valued function satisfying
[TABLE]
Then
[TABLE]
is bounded with .
Remark 1.2**.**
We would like to point out that our new boundedness result has a wider application range, since our new assumption is weaker than the assumptions on in the previous results. In fact, denote by
[TABLE]
The assumption of Theorem A can be stated as follows:
[TABLE]
And, we can verify that . The proof will be presented at the end of Section 3.
For simplicity, we only give the proof of Theorem 1.1 for the cases , the proof of is similar. The paper is organized as follows. In Section 2 we list some definitions, lemmas and give some key propositions which will be used lately. The proof of main theorem will be given in Section 3. We also give some details for Remark 1.2.
2. Definitions and Lemmas
The notation denotes the statement that , the notation means the statement . denotes the usual Lebesgue spaces with , and we denote its norm by . Let be the Schwartz space and be the space of tempered distributions. For , we denote
[TABLE]
For a multi-index with for , we denote
[TABLE]
with conventional rules . The Fourier transform and the inverse Fourier transform of are defined by
[TABLE]
We denote .
Next we recall the definition of -modulation spaces. First we give the partition of unity associated with . Take two appropriate constants and choose a Schwartz function sequence satisfying
[TABLE]
The sequence constitutes a smooth partition of unity of . The frequency decomposition operators associated with the above function sequence are defined by
[TABLE]
Let , , . The -modulation space associated with above decomposition is defined by
[TABLE]
with the usual modifications when . The modulation spaces coincides with -modulation spaces when . And we have \|f\|_{\mathscr{F}M^{p,q}_{s,\alpha}}=\|\mathscr{F}^{-1}f\|_{M^{p,q}_{s,\alpha}}=\Big{(}\sum\limits_{k\in\mathbb{Z}^{n}}\langle k\rangle^{\frac{sq}{1-\alpha}}\|\eta_{k}^{\alpha}f\|_{\mathscr{F}L^{p}}^{q}\Big{)}^{1/q}, with the usual modifications when .
Remark 2.1**.**
The definition of -modulation spaces is independent of the choice of exact (see [21]).
To define the Besov spaces, we introduce the dyadic decomposition of . Let be a smooth bump function supported in the ball and equal 1 on the ball . Denote
[TABLE]
and a function sequence
[TABLE]
For , we define the Littlewood-Paley operators
[TABLE]
Let , . For a tempered distribution , we set the norm
[TABLE]
with the usual modifications when . The (inhomogeneous) Besov space is the space of all tempered distributions for which the quantity is finite.
We now list some basic properties about -modulation spaces and Besov spaces. As mentioned before, Besov space can be regarded as the limit case of -modulation space as , so we also use to denote the (inhomogeneous) Besov space .
Lemma 2.2** (Bernstein multiplier theorem, see [33]).**
Let . Assume for all multi-indices with , where denotes the integer part of . We have
[TABLE]
Using Bernstein multiplier theorem, we give some -norm estimates of the decomposition function . We adopt the following notation for convenience:
[TABLE]
Proposition 2.3** (Estimate of the decomposition function).**
Let be a smooth decomposition of satisfying (2.1). Then there exist constants and , such that for all ,
- (1)
uniform support:
[TABLE] 2. (2)
uniform bound:
[TABLE]
Proof.
The first conclusion can be derived directly by the definition of in (2.1). We turn to prove the second one. Using Lemma 2.2, we have
[TABLE]
where the last inequality we use the derivative property and support information of as mentioned in (2.1). ∎
Proposition 2.4** (Convolution of -modulation space).**
Let , , . Then we have
[TABLE]
Proof.
For , denote , and
[TABLE]
We have with some fixed constant for all . and . Using Young inequality we have
[TABLE]
∎
3. Boundedness of on -modulation space
This section is devoted to the boundedness of unimodular multipliers on -modulation space. We first establish a bounded results, which is sharp at two endpoints and . Then the desired conclusion follows by an interpolation between this and the obvious boundedness of .
Theorem 3.1** (Boundedness for endpoints).**
Let , , and be a real-valued function satisfying
[TABLE]
Then
[TABLE]
is bounded with .
Proof.
It is sufficient to give the proof for the case , since the other cases can be obtained by the simple embedding relation (). Write . By Proposition 2.4, the desired conclusion is valid if we prove , i.e.
[TABLE]
Denote
[TABLE]
Recall that is a partition of unity on , we have
[TABLE]
Then we have the the following assertion:
[TABLE]
where is the cardinality of , and that
[TABLE]
In fact, when , the support sets of and must be intersected, then we have , i.e. . So |\text{supp}\eta_{\ell}^{\alpha}|\sim\big{(}\langle\ell\rangle^{\frac{\alpha}{1-\alpha}}\big{)}^{n}\sim\Big{(}\langle k\rangle^{\frac{\alpha}{1-\alpha}+\frac{\alpha\delta}{(1-\alpha)^{2}}}\Big{)}^{n} for all . This and the almost orthogonality of yield that
[TABLE]
Furthermore, when , using (3.4) and the position relation between and \eta_{k}^{\alpha}\Big{(}\langle k\rangle^{\frac{-\delta}{(1-\alpha)^{2}}}\xi\Big{)}, we get
[TABLE]
This and the fact imply that
[TABLE]
So we get (3.5).
Denote by and
[TABLE]
Then the scaling invariance of and Young’s inequality yield that
[TABLE]
Furthermore, we write
[TABLE]
where Let suppored in with for , where is the radius of the uniform support of in Proposition 2.3. Observe that for . We have
[TABLE]
where
[TABLE]
Furthermore, we claim that
[TABLE]
for all . In fact, since for all , a direct calculation shows that
[TABLE]
By (3.4), we further have
[TABLE]
Recalling that and , \forall\xi\in\text{supp}\eta^{\ast}\Big{(}\langle\ell\rangle^{\frac{-\alpha}{1-\alpha}}\langle k\rangle^{\frac{\delta}{(1-\alpha)^{2}}}\cdot-\ell\Big{)}, we have
[TABLE]
Combining this with (3.4) and (3.5), we have
[TABLE]
for all \xi\in\text{supp}\eta^{\ast}\Big{(}\langle\ell\rangle^{\frac{-\alpha}{1-\alpha}}\langle k\rangle^{\frac{\delta}{(1-\alpha)^{2}}}\cdot-\ell\Big{)} and . Hence, there exist a constant such that
[TABLE]
Then we have , and that for all and , where we denote
[TABLE]
Then by the translation and scaling invariance of and the definition of -modulation spaces, we further deduce that
[TABLE]
for all . Therefore, we get (3.9).
Combine this with (3), (3.7) and Proposition 2.3, we have
[TABLE]
Drawing support from (3.1) and (3.4), we obtain
[TABLE]
Then we get (3.3) and complete the proof. ∎
Proof of Theorem 1.1. Note that and for . By Theorem 3.1, taking and , we have
[TABLE]
On the other hand, by the Plancherel equality we have
[TABLE]
An interpolation argument then yields the desired conclusion. To be more specific, for , applying complex interpolation theory between (3.11) and the first inequality in (3.10) with and , we have
[TABLE]
While for for , applying complex interpolation theory between (3.11) and the second inequality in (3.10) with and , we have
[TABLE]
Hence, we get the desired conclusion in Theorem 1.1.
Now, we turn to give the proof for the relations . This will also indicate that our new result is an essential improvement of the previous results.
Proof of . The definition of these two function spaces imply that . We only verify the last one. First, we verify the including relation . Take a function . Using Lemma 2.2, we have
[TABLE]
where we use the fact that for . Thus,
[TABLE]
i.e. . Therefore, .
Next, we give an example shown that . Take to be a smooth function with compact support near the origin such that its derivatives of all orders are not zero functions. Set
[TABLE]
One can easily check that . However, the derivatives of can not decay at infinity. So . ∎
Acknowledgements
This work was partially supported by the National Natural Foundation of China (Nos. 11601456, 11701112, 11671414, 11771388) and Natural Science Foundation of Fujian Province (Nos. 2017J01723, 2018J01430).
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