{"title":"Structured eigenvalue backward errors for rational matrix functions with symmetry structures","authors":"Anshul Prajapati, Punit Sharma","doi":"10.1007/s10543-024-01010-3","DOIUrl":null,"url":null,"abstract":"<p>We derive computable formulas for the structured backward errors of a complex number <span>\\(\\lambda \\)</span> when considered as an approximate eigenvalue of rational matrix functions that carry a symmetry structure. We consider symmetric, skew-symmetric, Hermitian, skew-Hermitian, <span>\\(*\\)</span>-palindromic, T-even, T-odd, <span>\\(*\\)</span>-even, and <span>\\(*\\)</span>-odd structures. Numerical experiments show that the backward errors with respect to structure-preserving and arbitrary perturbations are significantly different.</p>","PeriodicalId":55351,"journal":{"name":"BIT Numerical Mathematics","volume":"200 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BIT Numerical Mathematics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10543-024-01010-3","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
We derive computable formulas for the structured backward errors of a complex number \(\lambda \) when considered as an approximate eigenvalue of rational matrix functions that carry a symmetry structure. We consider symmetric, skew-symmetric, Hermitian, skew-Hermitian, \(*\)-palindromic, T-even, T-odd, \(*\)-even, and \(*\)-odd structures. Numerical experiments show that the backward errors with respect to structure-preserving and arbitrary perturbations are significantly different.
期刊介绍:
The journal BIT has been published since 1961. BIT publishes original research papers in the rapidly developing field of numerical analysis. The essential areas covered by BIT are development and analysis of numerical methods as well as the design and use of algorithms for scientific computing. Topics emphasized by BIT include numerical methods in approximation, linear algebra, and ordinary and partial differential equations.