A class of Fourier multipliers for modulation spaces
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1 Appl. Comput. Harmon. Anal Letter to the Editor A class of Fourier multipliers for modulation spaces Árpád Bényi a, Loukas Grafakos b,1, Karlheinz Gröchenig c,, Kasso Okoudjou d a Department of Mathematics and Statistics, Lederle GT, University of Massachusetts, Amherst, MA 01003, USA b Department of Mathematics, University of Missouri, Columbia, MO 6511, USA c GSF esearch Center, Department of Biomathematics and Biometry, Ingolstädter Str. 1, D Neuherberg, Germany d Department of Mathematics, Malott Hall, Cornell University, Ithaca, NY 14853, USA Available online 31 March 005 Communicated by H.G. Feichtinger on 3 August 004 Abstract We prove the boundedness of a general class of Fourier multipliers, in particular of the Hilbert transform, on modulation spaces. In general, however, the Fourier multipliers in this class fail to be bounded on L p spaces. The main tools are Gabor frames and methods from time frequency analysis. 005 Elsevier Inc. All rights reserved. Keywords: Fourier multipliers; Hilbert transform; Gabor frames; Modulation spaces; Short-time Fourier transform MSC: 4A45; 4B35; 4C99; 47G30 1. Introduction In this note we explore the boundedness properties of certain translation invariant operators initially defined on the Schwartz class of rapidly decreasing smooth functions. Namely, if b>0andc = c n n Z is a bounded sequence of complex numbers, we are interested in the operator H b,c formally defined by H b,c = + n= c n M bn HM bn M bn+1 HM bn+1. 1 * Corresponding author. addresses: benyi@math.umass.edu Á. Bényi, loukas@math.missouri.edu L. Grafakos, karlheinz.groechenig@gsf.de K. Gröchenig, kasso@math.cornell.edu K. Okoudjou. 1 esearch partially supported by the NSF /$ see front matter 005 Elsevier Inc. All rights reserved. doi: /j.acha
2 13 Á. Bényi et al. / Appl. Comput. Harmon. Anal Here, M b denotes the modulation by b and H is the Hilbert transform, that is, M b ft= e πitb ft and Hf x = 1 π lim fx t dt. ɛ 0 t t >ɛ The operators H b,c are better understood if viewed on the Fourier side as multiplier operators Ĥ b,c f = m b,c f, ˆ with Fourier multipliers m b,c = i + n= c n χ bn,bn+1 ; χ a,b denotes the characteristic function of the real interval a, b. It is easy to see that the Hilbert transform is a particular case of such an operator 1 H b,c. Indeed, if we recall that mξ = isgn ξ is the multiplier of H, then H = 1 H b,c for any b>0andc = c n n Z, with c n = 1forn 0andc n = 1forn<0. There are many proofs for the boundedness of H on L p spaces, 1 <p<. For example, in the context of Calderón Zygmund theory, the boundedness of H follows from its boundedness on L a consequence of Plancherel s theorem, a weak type 1, 1 estimate, and interpolation. A natural question then is whether the more general operators H b,c are also bounded on the Lebesgue spaces L p,1<p<. We note right away that the boundedness of the sequence c and Plancherel s theorem guarantee that H b,c maps L into L. But unlike the kernel of the Hilbert transform, the convolution kernels of the operators H b,c do not possess the required amount of smoothness to fall under the scope of Calderón Zygmund theory. Moreover, the multipliers m b,c are not of bounded variation in general, nor do they satisfy the conditions of some Fourier multiplier theorem. In fact, the operators H b,c fail to be bounded on L p, p. Consider for example the operators H 1,c, c = c n n Z l, and assume that an estimate of the form H 1,c f p C c l f p 4 were true for some 1 <p< and a constant C independent of c and f. This inequality remains true, if we replace c n by ±c n for any choice of sign; in particular we may replace c n with c n r n t,wherer n t is the nth ademacher function see [, p. 177] for the definition of these functions. Define the operator S n by Ŝ n f = c n χ [n,n+1] f ˆ. aising 4 to the power p, integrating over t [0, 1], and using a key inequality for the ademacher functions [9, Appendix C.], we deduce that for every f L p 1/ S n f L C c l f L p. 5 p n Z For the choice c n = 1 this averaging procedure over the plus and minus signs yields a square function for which estimate 5 is known to hold true only when p ; see, e.g., [9, Section 10.]. This contradicts our initial assumption 1 <p<. By duality we can also exclude the case p>, because the space of Fourier multipliers on L p coincides with those on L p,wherep = p/p 1 is the dual exponent of p. We conclude that an estimate of the form 4 holds true if and only if p =. 3
3 Á. Bényi et al. / Appl. Comput. Harmon. Anal Nevertheless, we will prove below that the operators H b,c are bounded on a different class of function spaces, the so-called modulation spaces M p,q,1<p<,1 q. These spaces include L = M, and are defined by their phase-space distribution instead of their Littlewood Paley decomposition. The modulation spaces occur naturally in time frequency analysis or phase-space analysis and have found numerous applications to pseudodifferential operators, signal analysis, nonlinear approximation, and the formulation of uncertainty principles; see, e.g., [8,11,1,14,15,17 19,3]. We will prove the boundedness of the Fourier multipliers by studying their matrix with respect to a so-called Gabor frame often called Weyl Heisenberg frame and by using the Gabor expansion of functions. In this manner we can convert the question of boundedness of Fourier multipliers on M p,q into a problem about the boundedness of an infinite matrix acting on certain sequence spaces. It is perhaps not too surprising that this discretization leads to the discrete Hilbert transform that was first studied by Hilbert on l and by iesz [1] and Titchmarsh [] on general l p -spaces. In particular, we obtain the boundedness of the Hilbert transform on modulation spaces. This fact was first observed by Okoudjou in [0]. In this paper we treat a natural extension and also close a gap in the original proof. We also point out that a similar class of pointwise multipliers was considered on the so-called amalgam spaces in [4]. Since the modulation spaces are the Fourier transforms of certain amalgam spaces, some of the results in [4, Theorem 3.6] overlap with our main result. However, our techniques and the ones used in [4] are completely different. In addition, the use of time frequency techniques in hard analysis seems of independent interest. As for the endpoint modulation spaces, the situation is similar to the case of Lebesgue spaces. For example, the Hilbert transform fails to be bounded on the Feichtinger algebra M 1. The remainder of the paper is organized as follows. The next section is devoted to some basic facts about modulation spaces and Gabor frames. The main result is stated and proved in Section 3, as well as some counter-example.. Preliminaries.1. General notation We will be working on the real line. The operators of translation and modulation of a function f with domain are defined by T x ft= ft x and M y ft= e πiyt ft. The Fourier transform of f L 1 is fω= ˆ fte πit ω dt, ω. The Fourier transform is an isomorphism of the Schwartz space S = S onto itself, and extends to the space S = S of tempered distributions by duality. The inner product of two functions f,g L is f,g = ftgtdt, and its extension to S S will be also denoted by,. The short-time Fourier transform STFT of a function f with respect to a window g is V g fx,y = f,m y T x g = e πiyt gt xftdt,
4 134 Á. Bényi et al. / Appl. Comput. Harmon. Anal whenever the integral makes sense. This definition can be extended to f S and g S and yields a continuous function V g f of polynomial growth [10]. In a less obvious way, the STFT makes sense even in the space of tempered distributions S when both f S and g S, see, e.g., Folland s book [7, Proposition 1.4]. We let L p,q = L p,q be the spaces of measurable functions fx,y for which the mixed norm f L p,q = fx,y p dx q/p dy 1/q is finite. If p = q, wehavel p,p = L p, the usual Lebesgue spaces. By l p,q Z Z we denote the spaces of sequences a = a k,l k,l Z for which the mixed norm q/p 1/q a l p,q = a k,l p l Z k Z is finite. If p = q, we recover the sequence spaces l p Z Z... Modulation spaces Definition 1. Given 1 p,q, and given a window function g S, the modulation space M p,q = M p,q is the space of all distributions f S for which the following norm is finite: f M p,q = V g fx,y q/p 1/q dx dy p = V g f L p,q, 6 with the usual modifications if p and/or q are infinite. When p = q, we will write M p for the modulation space M p,p. emark 1. The definition is independent of the choice of the window g in the sense of equivalent norms. If 1 p,q <, then M 1 is densely embedded into M p,q. In fact, the Schwartz class S is dense in M p,q for 1 p,q <. One can also show that the dual of M p,q is M p,q, where 1 p,q < and 1 p + 1 p = 1 q + 1 q = 1. We refer to [4,10] and the references therein for more details about modulation spaces. emark. The modulation space M 1, also called the Feichtinger algebra, is a Banach algebra under both pointwise multiplication and convolution and is invariant under Fourier transform. It plays also an important role in the theory of Gabor frames where it serves as a convenient class of windows that generate Gabor frames for the whole class of modulation spaces..3. Gabor frames Definition. Given a window function φ L and constants α, β > 0, we say that {M βn T αk φ} k,n Z is a Gabor frame for L if there exist constants A,B > 0 called frame bounds such that A f L f,m βn T αk φ B f L, f L. k,n Z
5 Á. Bényi et al. / Appl. Comput. Harmon. Anal We refer to the works by Daubechies [1], Gröchenig [10], and Heil and Walnut [16] for extensive treatments of frames and Gabor frames. The theory of Gabor frames can be generalized from the pure L -theory to the whole class of modulation spaces. The next theorem taken from [5,6,10] provides a characterization of modulation spaces by means of Gabor frames and will be used heavily in the sequel. Theorem A. Let φ M 1 be such that {M βn T αk φ} k,n Z is a Gabor frame for L, and let 1 p,q. Then there exists a canonical dual γ M 1 such that every tempered distribution in M p,q has a Gabor expansion that converges unconditionally or weak* unconditionally if p = or q =, namely f = f,m βn T αk γ M βn T αk φ, f M p,q ; k,n Z moreover, we have the following norm equivalences: f M p,q f,m βn T αk φ l p,q f,m βn T αk γ l p,q. To summarize, a tempered distribution f belongs to the modulation space M p,q if and only if the sequence of its Gabor coefficients defined as C φ f = f,m βn T αk φ k,n Z belongs to the sequence space l p,q Z Z. Moreover, the norm of f is equivalent to the norm of its Gabor coefficients. 3. Boundedness of H b,c on modulation spaces Our main result can be stated as follows: Theorem 1. For any b>0 and c l, the operators H b,c are bounded from M p,q into M p,q for 1 <p<, 1 q with a norm estimate H b,c f M p,q C c f M p,q for some constant depending only on b,p, and q. In particular, the Hilbert transform H is bounded on M p,q for 1 <p< and 1 q. Proof. Since the modulation spaces are invariant under dilations, we may assume without loss of generality that b = 1 by conjugating H b,c with a suitable dilation. Thus from now on we will only consider the multiplier 1 with b = 1. Next we choose a Gabor frame that is tailored to the analysis of our particular class of Fourier multipliers. Let sin πx φx=, πx or equivalently, ˆφω = χ [ 1/,1/] χ [ 1/,1/] ω = max 0, 1 ω.
6 136 Á. Bényi et al. / Appl. Comput. Harmon. Anal It follows that φ M 1 [3] or [10, Proposition 1.1.6], and that {M n T k φ} k,n Z is a Gabor frame for L [10, Theorem 6.4.1]. We expand f with respect to a Gabor frame, i.e., f = k,n Z f,m βnt αk γ M βn T αk φ, andthentake the coefficients of H 1,c.Wefindthat C φ H 1,c f k, n = H 1,c f,m n T k φ = f,m n T k γ H 1,c M n T k φ,m n T k φ. 7 k,n Z ecall that by Theorem A, f M p,q if and only if C γ f = f,m n T k γ k,n Z l p,q Z and H 1,c f M p,q if and only if C φ H 1,c f = H 1,c f,m n T k φ k,n Z l p,q Z. Consequently to verify the boundedness of H 1,c, it suffices to show that the matrix Υ whose entries are defined by Υ k,n,k,n = H 1,c M n T k φ,m n T k φ is bounded on l p,q Z. The commutative diagram 8 illustrates the situation. M p,q H 1,c M p,q 8 C γ l p,q Υ C φ l p,q We now compute the entries of the matrix Υ. Here we exploit the special properties of the basic function φ and the algebra of time frequency shifts. We have Υ k,n,k,n = H 1,c M n T k φ,m n T k φ = H 1,c M n T k φ,m n T k φ = c m χ [m,m+1] T n M k ˆφ,T n M k ˆφ m Z = c m e πik n n T n χ [m,m+1] M k k T n n ˆφ, ˆφ m Z = c m 1 k n n M k k χ [m n,m n+1] T n n ˆφ, ˆφ. 9 m Z Because the function ˆφ is compactly supported on [ 1, 1], the sum in 9 is finite, and only the terms m = n 1andm = n occur: Υ k,n,k,n = c n 1 1 k n n M k k χ [ 1,0] T n n ˆφ, ˆφ +c n 1 k n n M k k χ [0,1] T n n ˆφ, ˆφ. 10 Furthermore, the support condition on ˆφ implies that the indices n, n are related by n 1 n n + 1 and we only need to calculate the following integrals explicitly: M l χ [0,1] ˆφ, ˆφ = M l χ [ 1,0] ˆφ, ˆφ = 1 M l χ [0,1] T 1 ˆφ, ˆφ = M l χ [ 1,0] T 1 ˆφ, ˆφ = 0 1 ω e πilω dω, 1 0 ω1 ωe πilω dω,
7 Á. Bényi et al. / Appl. Comput. Harmon. Anal whereas M l χ [0,1] T 1 ˆφ, ˆφ = M l χ [ 1,0] T 1 ˆφ, ˆφ =0. The evaluation of these elementary integrals with integration by parts yields ω e πilω dω = ρ l + δ l /3and 1 0 ω1 ωeπilω dω = ɛ l + δ l /6, where { 0 if k 0, δ k = 1 if k = 0, { ρ k = 1 πik + + 1k 1 if k 0, π k iπk 3 0 if k = 0, and { ɛ k = 1k k 1 if k 0, π k iπk 3 0 if k = 0. Using these sequences we can compute the entries of Υ as follows: Case 1: If n = n, then Υ k,n,k,n = c n 1 ρ k k δ k k + c n ρ k k δ k k. Case : If n = n + 1, then Υ k,n,k,n = c n 1 k ɛ k k δ k k. Case 3: If n = n 1, then Υ k,n,k,n = c n 1 1 k ɛ k k δ k k T k Consequently, letting a k,n = f,m n γ, we can rewrite 7 as follows: Cφ H 1,c f k, n = Υ k,n,k,n a k,n k,n Z = k Z. a k,nc n ρ k k δ k k + a k,nc n 1 ρ k k δ k k k Z a k,n+1c n 1 k ɛ k k δ k k + k Z + k Z a k,n 1c n 1 1 k ɛ k k δ k k. 11 The action of the matrix Υ can now be expressed in terms of convolutions with the sequences ρ, ɛ and δ defined above. More precisely,
8 138 Á. Bényi et al. / Appl. Comput. Harmon. Anal Cφ H 1,c f k, n = c n a,n ρk+ 1 3 a k,n + c n 1 a,n ρk a k,n + c n 1 a,n+1 ɛk a k,n+1 + c n 1 1 a,n 1 ɛk a k,n 1, 1 where xk = x k and 1 a,n ɛ denotes the sequence k Z 1k a k,nɛ k k k Z for any fixed n. The sequence ɛ belongs to l 1 Z, thus we can use Young s inequality to take care of the convolution terms involving ɛ. However,ρ is the sum of three sequences, two of which are in l 1 Z, but the third 1 1 one,, is clearly not summable. Fortunately, the convolution with the discrete Hilbert transform is πik πik bounded on l p Z for 1 <p< ; see the book by Hardy, Littlewood, and Pólya [13, Section 8.1], also [1,]. Consequently, convolution with ρ is also bounded on l p Z for 1 <p<, and using Young s inequality we obtain Cφ H 1,c f k, n 1/p p K c a,n p k Z for some positive constant K and every n Z. Hence, by taking the q-norm with respect to the variable n we obtain Cφ H 1,c f l p,q Z K c a l p,q Z, for all 1 q. This concludes the proof. emark 3. In general, the operators H b,c are not bounded on M 1. In fact, this is already the case for the Hilbert transform H. Assume on the contrary that Hf M 1 for every f M 1.SinceM 1 is invariant under the Fourier transform, this would imply that Ĥf = isgn fˆ M 1 and Ĥf would have a discontinuity at the origin whenever f0 ˆ 0. But this contradicts the fact that every function in M 1 is uniformly continuous. By duality, H cannot be bounded from M into M either. Acknowledgment The authors thank Chris Heil and Norbert Kaiblinger for very helpful and interesting discussions while completing this work. eferences [1] I. Daubechies, Ten Lectures on Wavelets, SIAM, Philadelphia, PA, 199. [] J. Duandikoetxea, Fourier Analysis, Graduate Studies in Mathematics, vol. 9, American Mathematical Society, Providence, I, 001. [3] H.G. Feichtinger, On a new Segal algebra, Monatsh. Math [4] H.G. Feichtinger, Modulation spaces on locally Abelian groups, Technical eport, University of Vienna, 1983, updated version appeared in Proceedings of International Conference on Wavelets and Applications, Chennai, India, 003, pp
9 Á. Bényi et al. / Appl. Comput. Harmon. Anal [5] H.G. Feichtinger, K. Gröchenig, Banach spaces related to integrable group representations and their atomic decompositions I, J. Funct. Anal [6] H.G. Feichtinger, K. Gröchenig, Banach spaces related to integrable group representations and their atomic decompositions II, Monatsh. Math [7] G.B. Folland, Harmonic Analysis in Phase Space, Ann. of Math. Studies, Princeton Univ. Press, Princeton, NJ, [8] E. Galperin, K. Gröchenig, Uncertainty principles as embeddings of modulation spaces, J. Math. Anal. Appl [9] L. Grafakos, Classical and Modern Fourier Analysis, Prentice Hall, Upper Saddle iver, NJ, 003. [10] K. Gröchenig, Foundations of Time Frequency Analysis, Birkhäuser, Boston, MA, 001. [11] K. Gröchenig, C. Heil, Modulation spaces and pseudodifferential operators, Integral Equations Operator Theory [1] K. Gröchenig, C. Heil, Counterexamples for boundedness of pseudodifferential operators, Osaka J. Math [13] G.H. Hardy, J.E. Littlewood, G. Pólya, Inequalities, Cambridge Univ. Press, Cambridge, 195. [14] C. Heil, Integral operators, pseudodifferential operators, and Gabor frames, in: H.G. Feichtinger, T. Strohmer Eds., Advances in Gabor Analysis, Birkhäuser, Boston, MA, 003, pp [15] C. Heil, J. amanathan, P. Topiwala, Singular values of compact pseudodifferential operators, J. Funct. Anal [16] C. Heil, D. Walnut, Continuous and discrete wavelet transforms, SIAM ev [17] J.A. Hogan, J.D. Lakey, Embeddings and uncertainty principles for generalized modulation spaces, in: J.J. Benedetto, P.J.S.G. Ferreira Eds., Modern Sampling Theory, Birkhäuser, Boston, MA, 001, pp [18] D. Labate, Time frequency analysis of pseudodifferential operators, Monatsh. Math [19] D. Labate, Pseudodifferential operators on modulation spaces, J. Math. Anal. Appl [0] K.A. Okoudjou, Characterization of function spaces and boundedness of bilinear pseudodifferential operators through Gabor frames, Ph.D. thesis, Georgia Institute of Technology, Atlanta, 003. [1] M. iesz, Sur les fonctions conjuguées, Math. Z [] E.C. Titchmarsh, An inequality in the theory of series, J. London Math. Soc [3] J. Toft, Modulation spaces and pseudodifferential operators I, J. Funct. Anal [4] M.L. Torres de Squire, Multipliers for amalgams and the algebra S 0 G, Canad. J. Math
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