Powers of Karpelevič arcs and their sparsest realising matrices

IF 1 3区数学 Q1 MATHEMATICS

Linear Algebra and its Applications Pub Date : 2024-10-05 DOI:10.1016/j.laa.2024.10.001

Priyanka Joshi , Stephen Kirkland , Helena Šmigoc

引用次数: 0

Abstract

The region in the complex plane containing the eigenvalues of all

n \times n

stochastic matrices was described by Karpelevič in 1951, and it is since then known as the Karpelevič region. The boundary of the Karpelevič region is the union of arcs called the Karpelevič arcs. We provide a complete characterization of the Karpelevič arcs that are powers of some other Karpelevič arc. Furthermore, we find the necessary and sufficient conditions for a sparsest stochastic matrix associated with the Karpelevič arc of order n to be a power of another stochastic matrix.

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卡尔佩列维奇弧的幂及其最稀疏实现矩阵

卡尔佩列维奇于 1951 年描述了复平面上包含所有 n×n 随机矩阵特征值的区域，自此该区域被称为卡尔佩列维奇区域。卡尔佩列维奇区域的边界是称为卡尔佩列维奇弧的弧的联合。我们提供了卡尔佩列维奇弧的完整特征，这些弧是其他一些卡尔佩列维奇弧的幂。此外，我们还找到了与 n 阶 Karpelevič 弧相关的最稀疏随机矩阵是另一个随机矩阵的幂的必要条件和充分条件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Linear Algebra and its Applications 数学-应用数学

CiteScore

2.20

自引率

9.10%

发文量

333

审稿时长

13.8 months

期刊介绍： Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.