Kronecker products of Perron similarities

Pub Date : 2021-10-27 DOI:10.13001/ela.2022.6697
J. Dockter, Pietro Paparella, R. L. Perry, Jonathan D Ta
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Abstract

An invertible matrix is called a Perron similarity if one of its columns and the corresponding row of its inverse are both nonnegative or both nonpositive. Such matrices are of relevance and import in the study of the nonnegative inverse eigenvalue problem. In this work, Kronecker products of Perron similarities are examined and used to construct ideal Perron similarities all of whose rows are extremal.
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佩龙相似度的克罗内克积
如果一个可逆矩阵的其中一列及其逆矩阵的对应行都是非负的或者都是非正的,那么这个矩阵就被称为Perron相似。这类矩阵在非负特征值反问题的研究中具有重要的意义。在这项工作中,研究了Perron相似度的Kronecker积,并使用它来构造所有行都是极值的理想Perron相似度。
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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