Remarks on Frames from Projective Representations of Locally Compact Groups

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED
Junyun Chen, Chuangxun Cheng
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引用次数: 0

Abstract

A projective representation of a locally compact group does phase retrieval if it admits a maximal spanning frame vector. In this paper, we provide a characterization of maximal spanning vectors for type I and square integrable irreducible projective representations of separable locally compact abelian groups. This generalizes the well-known criterion for the time–frequency case and unifies previous criteria for finite groups case and locally compact Gabor case. As an application, we show that irreducible projective representations of compact abelian groups do phase retrieval.

从局部紧凑群的投影表示谈框架
如果局部紧密群的投影表示存在最大跨帧向量,那么它就能进行相检索。在本文中,我们为可分离局部紧凑阿贝尔群的 I 型和平方可积分不可还原投影表示提供了最大跨度向量的特征。这概括了众所周知的时频判据,并统一了之前的有限群判据和局部紧凑 Gabor 判据。作为应用,我们证明了紧凑无性群的不可还原投影表示可以进行相位检索。
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来源期刊
CiteScore
2.10
自引率
16.70%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The Journal of Fourier Analysis and Applications will publish results in Fourier analysis, as well as applicable mathematics having a significant Fourier analytic component. Appropriate manuscripts at the highest research level will be accepted for publication. Because of the extensive, intricate, and fundamental relationship between Fourier analysis and so many other subjects, selected and readable surveys will also be published. These surveys will include historical articles, research tutorials, and expositions of specific topics. TheJournal of Fourier Analysis and Applications will provide a perspective and means for centralizing and disseminating new information from the vantage point of Fourier analysis. The breadth of Fourier analysis and diversity of its applicability require that each paper should contain a clear and motivated introduction, which is accessible to all of our readers. Areas of applications include the following: antenna theory * crystallography * fast algorithms * Gabor theory and applications * image processing * number theory * optics * partial differential equations * prediction theory * radar applications * sampling theory * spectral estimation * speech processing * stochastic processes * time-frequency analysis * time series * tomography * turbulence * uncertainty principles * wavelet theory and applications
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