Stable Separation of Orbits for Finite Abelian Group Actions

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED Journal of Fourier Analysis and Applications Pub Date : 2024-02-05 DOI:10.1007/s00041-024-10069-z
Jameson Cahill, Andres Contreras, Andres Contreras Hip
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Abstract

In this paper we construct two new families of invariant maps that separate the orbits of the action of a finite Abelian group on a finite dimensional complex vector space. One of these families is Lipschitz continuous with respect to the quotient metric on the space of orbits, but involves computing large powers of the components of the vectors which can lead to instabilities. The other family avoids this issue by putting the powers only on the phase of the components, but in turn is not continuous. However, we show that they are Lipschitz continuous on the set of vectors with fixed support, so in particular they are Lipschitz on the set of vectors with no zero entries. Furthermore, the target dimension of these maps is small, i.e., linear in the original dimension.

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有限阿贝尔群作用的稳定轨道分离
在本文中,我们构建了两个新的不变映射族,它们可以分离有限阿贝尔群在有限维复向量空间上的作用轨道。其中一个系列相对于轨道空间上的商度量是利普齐兹连续的,但涉及计算向量分量的大幂,这可能导致不稳定。另一个系列通过只计算分量相位的幂来避免这个问题,但反过来也不是连续的。然而,我们证明它们在具有固定支持的向量集合上是 Lipschitz 连续的,因此它们在没有零条目向量集合上尤其是 Lipschitz 连续的。此外,这些映射的目标维度很小,即与原始维度成线性关系。
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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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