Reliable eigenvalues of symmetric tridiagonals

Detalhes bibliográficos
Autor(a) principal: Ralha, Rui
Data de Publicação: 2011
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/16203
Resumo: For the eigenvalues of a symmetric tridiagonal matrix T, the most accurate algorithms deliver approximations which are the exact eigenvalues of a matrix whose entries differ from the corresponding entries of T by small relative perturbations. However, for matrices with eigenvalues of different magnitudes, the number of correct digits in the computed approximations for eigenvalues of size smaller than ‖T‖₂ depends on how well such eigenvalues are defined by the data. Some classes of matrices are known to define their eigenvalues to high relative accuracy but, in general, there is no simple way to estimate well the number of correct digits in the approximations. To remedy this, we propose a method that provides sharp bounds for the eigenvalues of T. We present some numerical examples to illustrate the usefulness of our method.
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spelling Reliable eigenvalues of symmetric tridiagonalsSymmetric tridiagonalsBisection methodBounds for eigenvaluesScience & TechnologyFor the eigenvalues of a symmetric tridiagonal matrix T, the most accurate algorithms deliver approximations which are the exact eigenvalues of a matrix whose entries differ from the corresponding entries of T by small relative perturbations. However, for matrices with eigenvalues of different magnitudes, the number of correct digits in the computed approximations for eigenvalues of size smaller than ‖T‖₂ depends on how well such eigenvalues are defined by the data. Some classes of matrices are known to define their eigenvalues to high relative accuracy but, in general, there is no simple way to estimate well the number of correct digits in the approximations. To remedy this, we propose a method that provides sharp bounds for the eigenvalues of T. We present some numerical examples to illustrate the usefulness of our method.FEDER (Programa Operacional Factores de Competitividade)FCT (Projecto PEst-C/MAT/UI0013/2011Society for Industrial and Applied MathematicsUniversidade do MinhoRalha, Rui2011-122011-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/16203eng0895-479810.1137/100817413http://epubs.siam.org/sima/resource/1/sjmael/v32/i4/p1524_s1?isAuthorized=noinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:12:28Zoai:repositorium.sdum.uminho.pt:1822/16203Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:04:23.684083Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Reliable eigenvalues of symmetric tridiagonals
title Reliable eigenvalues of symmetric tridiagonals
spellingShingle Reliable eigenvalues of symmetric tridiagonals
Ralha, Rui
Symmetric tridiagonals
Bisection method
Bounds for eigenvalues
Science & Technology
title_short Reliable eigenvalues of symmetric tridiagonals
title_full Reliable eigenvalues of symmetric tridiagonals
title_fullStr Reliable eigenvalues of symmetric tridiagonals
title_full_unstemmed Reliable eigenvalues of symmetric tridiagonals
title_sort Reliable eigenvalues of symmetric tridiagonals
author Ralha, Rui
author_facet Ralha, Rui
author_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ralha, Rui
dc.subject.por.fl_str_mv Symmetric tridiagonals
Bisection method
Bounds for eigenvalues
Science & Technology
topic Symmetric tridiagonals
Bisection method
Bounds for eigenvalues
Science & Technology
description For the eigenvalues of a symmetric tridiagonal matrix T, the most accurate algorithms deliver approximations which are the exact eigenvalues of a matrix whose entries differ from the corresponding entries of T by small relative perturbations. However, for matrices with eigenvalues of different magnitudes, the number of correct digits in the computed approximations for eigenvalues of size smaller than ‖T‖₂ depends on how well such eigenvalues are defined by the data. Some classes of matrices are known to define their eigenvalues to high relative accuracy but, in general, there is no simple way to estimate well the number of correct digits in the approximations. To remedy this, we propose a method that provides sharp bounds for the eigenvalues of T. We present some numerical examples to illustrate the usefulness of our method.
publishDate 2011
dc.date.none.fl_str_mv 2011-12
2011-12-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/16203
url http://hdl.handle.net/1822/16203
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0895-4798
10.1137/100817413
http://epubs.siam.org/sima/resource/1/sjmael/v32/i4/p1524_s1?isAuthorized=no
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Society for Industrial and Applied Mathematics
publisher.none.fl_str_mv Society for Industrial and Applied Mathematics
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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