Lower bounds for the smallest singular values of generalized asymptotic diagonal dominant matrices

Author:

Oishi Shin’ichiORCID

Abstract

AbstractThis article presents three classes of real square matrices. They are models of coefficient matrices of linearized Galerkin’s equations. These Galerkin’s equations are derived from first order nonlinear delay differential equation with smooth nonlinearity. This paper shows results of computer experiments stating that the minimum singular values of these matrices are unchanged even if orders of matrices are increased. A time variant Hutchinson equation is also considered. A computer experimental result is shown about this equation. This result shows that “the minimum singular values invariant-ness” holds also for the coefficient matrices of linearized Galerkin’s equations of this equation. A remark is presented that this property can be seen experimentally for a wide class of nonlinear delay differential equation with smooth nonlinearity. A theorem is presented based on the Schur complement. Through it, tight lower bounds are derived for the minimum singular values of such three matrices. It is proved that these lower bounds are unchanged even if orders of matrices are increased.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Engineering

Reference5 articles.

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Small Singular Values Can Increase in Lower Precision;SIAM Journal on Matrix Analysis and Applications;2024-08-12

2. A note on Oishi’s lower bound for the smallest singular value of linearized Galerkin equations;Japan Journal of Industrial and Applied Mathematics;2024-02-09

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