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关于双曲(多项式)系统上的 $e$-双随机矩阵

On $e$-doubly stochastic matrices over hyperbolic (polynomial) systems

Juyoung Jeong, M. Seetharama Gowda, Sudheer Shukla

arXiv 2609.32349首次发表:更新:

发表机构

Soongsil University; University of Maryland Baltimore County; University of Maryland, College Park(崇实大学; 马里兰大学巴尔的摩分校; 马里兰大学帕克分校)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文刻画了双曲系统上$e$-双随机矩阵的线性保持算子,揭示了其与优超的联系,并证明了由Jordan框架诱导的矩阵是极端点。

AI 中文摘要

在次数为 $n$ 的双曲(多项式)系统 $(\mathcal{V}, p, e)$ 的设定下,一个 $n$ 元组 $\mathbf{A} = \big[ a_1, a_2, \dots, a_n \big]$ 被称为 $e$-双随机 $\mathcal{V}$-矩阵,如果每个 $a_i$ 属于双曲锥,具有迹 $1$,并且 $a_1 + a_2 + \dots + a_n = e$。在本文中,我们刻画了这类 $\mathcal{V}$-矩阵的线性保持算子,描述了 $e$-双随机性与优超之间的某些联系,并研究了所有 $e$-双随机 $\mathcal{V}$-矩阵集合的极端点。例如,我们证明:(i)当 $n>1$ 时,正的、单位保持且迹保持的变换是 $\mathcal{V}$ 上保持 $e$-双随机性的(唯一的)线性变换;(ii)当 $\mathbf{A}$ 是 $e$-双随机时,线性组合 $\sum_{i=1}^{n} r_ia_i$ 的特征值向量被系数向量 $(r_1, r_2, \dots, r_n)^{T} \in \mathbb{R}^n$ 优超;(iii)当 $p$ 完备时,由(广义)Jordan 框架诱导的 $e$-双随机 $\mathcal{V}$-矩阵是所有 $e$-双随机 $\mathcal{V}$-矩阵的紧凸集的极端点。

英文摘要

In the setting of a hyperbolic (polynomial) system $(\mathcal{V}, p, e)$ of degree $n$, an $n$-tuple $\mathbf{A} = \big[ a_1, a_2, \dots, a_n \big]$ is said to be an $e$-doubly stochastic $\mathcal{V}$-matrix if each $a_i$ belongs to the hyperbolicity cone, has trace $1$, and $a_1 + a_2 + \dots + a_n = e$. In this article, we characterize linear preservers of such $\mathcal{V}$-matrices, describe some connections between $e$-doubly stochasticity and majorization, and study extreme points of the set of all $e$-doubly stochastic $\mathcal{V}$-matrices. We show, for example, that $(i)$ when $n>1$, positive, unital, and trace-preserving transformations are (the only) linear transformations on $\mathcal{V}$ that preserve $e$-doubly stochasticity; $(ii)$ when $\mathbf{A}$ is $e$-doubly stochastic, the eigenvalue vector of the linear combination $\sum_{i=1}^{n} r_ia_i$ is majorized by the coefficient vector $(r_1, r_2, \dots, r_n)^{T} \in \mathbb{R}^n$; and $(iii)$ when $p$ is complete, $e$-doubly stochastic $\mathcal{V}$-matrices induced by (generalized) Jordan frames are extreme points of the compact convex set of all $e$-doubly stochastic $\mathcal{V}$-matrices.

Comments24 pages

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