A preconditioning technique of Gauss--Legendre quadrature for the logarithm of symmetric positive definite matrices

Fuente: arXiv
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Autores principales: Tatsuoka, Fuminori, Sogabe, Tomohiro, Kemmochi, Tomoya, Zhang, Shao-Liang
Formato: Preprint
Publicado: 2024
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author Tatsuoka, Fuminori
Sogabe, Tomohiro
Kemmochi, Tomoya
Zhang, Shao-Liang
author_facet Tatsuoka, Fuminori
Sogabe, Tomohiro
Kemmochi, Tomoya
Zhang, Shao-Liang
contents This note considers the computation of the logarithm of symmetric positive definite matrices using the Gauss--Legendre (GL) quadrature. The GL quadrature becomes slow when the condition number of the given matrix is large. In this note, we propose a technique dividing the matrix logarithm into two matrix logarithms, where the condition numbers of the divided logarithm arguments are smaller than that of the original matrix. Although the matrix logarithm needs to be computed twice, each computation can be performed more efficiently, and it potentially reduces the overall computational cost. It is shown that the proposed technique is effective when the condition number of the given matrix is approximately between $130$ and $3.0\times 10^5$.
format Preprint
id arxiv_https___arxiv_org_abs_2410_22014
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A preconditioning technique of Gauss--Legendre quadrature for the logarithm of symmetric positive definite matrices
Tatsuoka, Fuminori
Sogabe, Tomohiro
Kemmochi, Tomoya
Zhang, Shao-Liang
Numerical Analysis
This note considers the computation of the logarithm of symmetric positive definite matrices using the Gauss--Legendre (GL) quadrature. The GL quadrature becomes slow when the condition number of the given matrix is large. In this note, we propose a technique dividing the matrix logarithm into two matrix logarithms, where the condition numbers of the divided logarithm arguments are smaller than that of the original matrix. Although the matrix logarithm needs to be computed twice, each computation can be performed more efficiently, and it potentially reduces the overall computational cost. It is shown that the proposed technique is effective when the condition number of the given matrix is approximately between $130$ and $3.0\times 10^5$.
title A preconditioning technique of Gauss--Legendre quadrature for the logarithm of symmetric positive definite matrices
topic Numerical Analysis
url https://arxiv.org/abs/2410.22014