A Jacobi-Type Eigensolver for Diagonally Dominant Symmetric Matrices

Fuente: arXiv
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Main Author: Gemignani, Luca
Format: Preprint
Published: 2026
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author Gemignani, Luca
author_facet Gemignani, Luca
contents This paper presents a Jacobi-type iteration for computing a given specified eigenpair of a symmetric matrix. For a certain class of diagonally dominant matrices, the procedure is shown to converge at a linear rate depending on how the matrix is significantly dominated. The cost per iteration is generally quadratic. Therefore, the proposed procedure can compute an approximation of the desired eigenpair in quadratic time.
format Preprint
id arxiv_https___arxiv_org_abs_2605_25613
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Jacobi-Type Eigensolver for Diagonally Dominant Symmetric Matrices
Gemignani, Luca
Numerical Analysis
65F15
This paper presents a Jacobi-type iteration for computing a given specified eigenpair of a symmetric matrix. For a certain class of diagonally dominant matrices, the procedure is shown to converge at a linear rate depending on how the matrix is significantly dominated. The cost per iteration is generally quadratic. Therefore, the proposed procedure can compute an approximation of the desired eigenpair in quadratic time.
title A Jacobi-Type Eigensolver for Diagonally Dominant Symmetric Matrices
topic Numerical Analysis
65F15
url https://arxiv.org/abs/2605.25613