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Research Article | Open Access

Partially doubly strictly diagonally dominant matrices with applications

Yi Liu1Lei Gao2( )Tianxu Zhao2
School of Mathematics and Computer Science, Yan'an University, Yan'an 716000, China
School of Mathematics and Information Science, Baoji University of Arts and Sciences, Baoji 721013, China
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Abstract

A new class of matrices called partially doubly strictly diagonally dominant (for shortly, PDSDD) matrices is introduced and proved to be a subclass of nonsingular H-matrices, which generalizes doubly strictly diagonally dominant matrices. As applications, a new eigenvalue localization set for matrices is given, and an upper bound for the infinity norm bound of the inverse of PDSDD matrices is presented. Based on this bound, a new pseudospectra localization for matrices is derived and a lower bound for distance to instability is obtained.

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Electronic Research Archive
Pages 2994-3013

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Cite this article:
Liu Y, Gao L, Zhao T. Partially doubly strictly diagonally dominant matrices with applications. Electronic Research Archive, 2023, 31(5): 2994-3013. https://doi.org/10.3934/era.2023151

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Received: 28 November 2022
Revised: 02 March 2023
Accepted: 09 March 2023
Published: 15 May 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)