Infinity norm bounds for the inverse of Nekrasov matrices using scaling matrices

Fuente: arXiv
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Autori principali: Orera, Héctor, Peña, Juan Manuel
Natura: Preprint
Pubblicazione: 2025
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author Orera, Héctor
Peña, Juan Manuel
author_facet Orera, Héctor
Peña, Juan Manuel
contents For many applications, it is convenient to have good upper bounds for the norm of the inverse of a given matrix. In this paper, we obtain such bounds when A is a Nekrasov matrix, by means of a scaling matrix transforming A into a strictly diagonally dominant matrix. Numerical examples and comparisons with other bounds are included. The scaling matrices are also used to derive new error bounds for the linear complementarity problems when the involved matrix is a Nekrasov matrix. These error bounds can improve considerably other previous bounds.
format Preprint
id arxiv_https___arxiv_org_abs_2501_09704
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Infinity norm bounds for the inverse of Nekrasov matrices using scaling matrices
Orera, Héctor
Peña, Juan Manuel
Numerical Analysis
65F35, 15A60, 65F05, 90C33
For many applications, it is convenient to have good upper bounds for the norm of the inverse of a given matrix. In this paper, we obtain such bounds when A is a Nekrasov matrix, by means of a scaling matrix transforming A into a strictly diagonally dominant matrix. Numerical examples and comparisons with other bounds are included. The scaling matrices are also used to derive new error bounds for the linear complementarity problems when the involved matrix is a Nekrasov matrix. These error bounds can improve considerably other previous bounds.
title Infinity norm bounds for the inverse of Nekrasov matrices using scaling matrices
topic Numerical Analysis
65F35, 15A60, 65F05, 90C33
url https://arxiv.org/abs/2501.09704