Spectrality of Infinite Convolutions and Random Convolutions

Fuente: arXiv
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Auteurs principaux: Li, Wenxia, Miao, Jun Jie, Wang, Zhiqiang
Format: Preprint
Publié: 2022
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author Li, Wenxia
Miao, Jun Jie
Wang, Zhiqiang
author_facet Li, Wenxia
Miao, Jun Jie
Wang, Zhiqiang
contents In this paper, we explore spectral measures whose square integrable spaces admit a family of exponential functions as an orthonormal basis.Our approach involves utilizing the integral periodic zeros set of Fourier transform to characterize spectrality of infinite convolutions generated by a sequence of admissible pairs.Then we delve into the analysis of the integral periodic zeros set. Finally, we show that given finitely many admissible pairs, almost all random convolutions are spectral measures. Moreover, we give a complete characterization of spectrality of random convolutions in some special cases.
format Preprint
id arxiv_https___arxiv_org_abs_2206_07342
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Spectrality of Infinite Convolutions and Random Convolutions
Li, Wenxia
Miao, Jun Jie
Wang, Zhiqiang
Classical Analysis and ODEs
Functional Analysis
42C30, 28A80
In this paper, we explore spectral measures whose square integrable spaces admit a family of exponential functions as an orthonormal basis.Our approach involves utilizing the integral periodic zeros set of Fourier transform to characterize spectrality of infinite convolutions generated by a sequence of admissible pairs.Then we delve into the analysis of the integral periodic zeros set. Finally, we show that given finitely many admissible pairs, almost all random convolutions are spectral measures. Moreover, we give a complete characterization of spectrality of random convolutions in some special cases.
title Spectrality of Infinite Convolutions and Random Convolutions
topic Classical Analysis and ODEs
Functional Analysis
42C30, 28A80
url https://arxiv.org/abs/2206.07342