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Applied and Computational Harmonic Analysis
Article . 2021 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
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Fractional Fourier transforms on L and applications

Fractional Fourier transforms on \(L^p\) and applications
Authors: Chen, Wei; Fu, Zunwei; Grafakos, Loukas; Wu, Yue;

Fractional Fourier transforms on L and applications

Abstract

This paper is devoted to the $L^p(\mathbb R)$ theory of the fractional Fourier transform (FRFT) for $1\le p < 2$. In view of the special structure of the FRFT, we study FRFT properties of $L^1$ functions, via the introduction of a suitable chirp operator. However, in the $L^1(\mathbb{R})$ setting, problems of convergence arise even when basic manipulations of functions are performed. We overcome such issues and study the FRFT inversion problem via approximation by suitable means, such as the fractional Gauss and Abel means. We also obtain the regularity of fractional convolution and results on pointwise convergence of FRFT means. Finally we discuss $L^p$ multiplier results and a Littlewood-Paley theorem associated with FRFT.

27 pages

Related Organizations
Keywords

\(L^p\) multipliers, fractional Fourier transform, Multipliers for harmonic analysis in several variables, Littlewood-Paley theorem, Functional Analysis (math.FA), 42B10, 42B15, Mathematics - Functional Analysis, fractional approximate identities, Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type, FOS: Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 1%
Top 10%
Top 1%
Green