On the Submultiplicativity of Matrix Norms Induced by Random Vectors

Pub Date : 2024-04-02 DOI:10.1007/s11785-024-01518-0
Ludovick Bouthat
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引用次数: 0

Abstract

In a recent article, Chávez, Garcia and Hurley introduced a new family of norms \(\Vert \cdot \Vert _{{\textbf {X}},d}\) on the space of \(n \times n\) complex matrices which are induced by random vectors \({\textbf {X}}\) having finite d-moments. Therein, the authors asked under which conditions the norms induced by a scalar multiple of \({\textbf {X}}\) are submultiplicative. In this paper, this question is completely answered by proving that this is always the case, as long as the entries of \({\textbf {X}}\) have finite p-moments for \(p=\max \{2+\varepsilon ,d\}\).

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论随机向量诱导的矩阵规范的亚多重性
在最近的一篇文章中,Chávez、Garcia 和 Hurley 在复矩阵(n 次 n)空间上引入了一个新的规范族(\Vert \cdot \Vert _{{textbf {X}},d}\),这些规范是由具有有限 d-moments 的随机向量 \({\textbf {X}}\)诱导的。在这篇文章中,作者询问了在\({textbf {X}}\)的标量倍数诱导的规范在哪些条件下是次乘的。本文完全回答了这个问题,证明了只要 \({textbf {X}}) 的条目对于 \(p=\max \{2+\varepsilon ,d\})具有有限的 p-moments ,情况总是如此。
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