Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5540/tema.2016.017.01.0113 http://hdl.handle.net/11449/213387 |
Resumo: | The problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation is orthogonal. Analytical solutions are derived for the case of matrices of order 2. The concepts of off-diagonalizing vectors, matrix amplitude, which is given in terms of the eigenvalues, and partially complementary matrices are introduced. This leads to a geometrical interpretation of the joint approximate diagonalization in terms of eigenvectors and off-diagonalizing vectors of the matrices. This should be helpful to deal with numerical and computational procedures involving high-order matrices. |
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Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2joint approximate diagonalizationeigenvectorsoptimizationdiagonalização conjunta aproximadaautovetoresotimizaçãoThe problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation is orthogonal. Analytical solutions are derived for the case of matrices of order 2. The concepts of off-diagonalizing vectors, matrix amplitude, which is given in terms of the eigenvalues, and partially complementary matrices are introduced. This leads to a geometrical interpretation of the joint approximate diagonalization in terms of eigenvectors and off-diagonalizing vectors of the matrices. This should be helpful to deal with numerical and computational procedures involving high-order matrices.Este trabalho aborda o problema da diagonalização conjunta aproximada de uma coleção de matrizes reais e simétricas. A otimização é realizada com a restrição de que a matriz de transformação de semelhança seja ortogonal. As soluções são apresentadas de forma analÃtica para matrizes de ordem 2. São introduzidos os conceitos de vetor anti-diagonalizante, amplitude de uma matriz, que é expressa em termos dos autovalores, e matrizes parcialmente complementares. Isto permite fazer uma interpretação geométrica da diagonalização conjunta aproximada, em termos dos autovetores e dos vetores anti-diagonalizantes das matrizes. Esta contribuição deve auxiliar na melhoria de procedimentos numéricos e computacionais envolvendo matrizes de ordem maior que 2.UNESP - Universidade Estadual Paulista, Faculdade de CiênciasUNESP - Universidade Estadual Paulista, Faculdade de CiênciasSociedade Brasileira de Matemática Aplicada e ComputacionalUniversidade Estadual Paulista (Unesp)Poltroniere, S.c. [UNESP]Soler, E.m. [UNESP]Bruno-alfonso, A. [UNESP]2021-07-14T10:54:31Z2021-07-14T10:54:31Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article113-126application/pdfhttp://dx.doi.org/10.5540/tema.2016.017.01.0113TEMA (São Carlos). Sociedade Brasileira de Matemática Aplicada e Computacional, v. 17, n. 1, p. 113-126, 2016.1677-19662179-8451http://hdl.handle.net/11449/21338710.5540/tema.2016.017.01.0113S2179-84512016000100113S2179-84512016000100113.pdfSciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengTEMA (São Carlos)info:eu-repo/semantics/openAccess2024-04-29T14:59:54Zoai:repositorio.unesp.br:11449/213387Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-29T14:59:54Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2 |
title |
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2 |
spellingShingle |
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2 Poltroniere, S.c. [UNESP] joint approximate diagonalization eigenvectors optimization diagonalização conjunta aproximada autovetores otimização |
title_short |
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2 |
title_full |
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2 |
title_fullStr |
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2 |
title_full_unstemmed |
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2 |
title_sort |
Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2 |
author |
Poltroniere, S.c. [UNESP] |
author_facet |
Poltroniere, S.c. [UNESP] Soler, E.m. [UNESP] Bruno-alfonso, A. [UNESP] |
author_role |
author |
author2 |
Soler, E.m. [UNESP] Bruno-alfonso, A. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Poltroniere, S.c. [UNESP] Soler, E.m. [UNESP] Bruno-alfonso, A. [UNESP] |
dc.subject.por.fl_str_mv |
joint approximate diagonalization eigenvectors optimization diagonalização conjunta aproximada autovetores otimização |
topic |
joint approximate diagonalization eigenvectors optimization diagonalização conjunta aproximada autovetores otimização |
description |
The problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation is orthogonal. Analytical solutions are derived for the case of matrices of order 2. The concepts of off-diagonalizing vectors, matrix amplitude, which is given in terms of the eigenvalues, and partially complementary matrices are introduced. This leads to a geometrical interpretation of the joint approximate diagonalization in terms of eigenvectors and off-diagonalizing vectors of the matrices. This should be helpful to deal with numerical and computational procedures involving high-order matrices. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2021-07-14T10:54:31Z 2021-07-14T10:54:31Z |
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://dx.doi.org/10.5540/tema.2016.017.01.0113 TEMA (São Carlos). Sociedade Brasileira de Matemática Aplicada e Computacional, v. 17, n. 1, p. 113-126, 2016. 1677-1966 2179-8451 http://hdl.handle.net/11449/213387 10.5540/tema.2016.017.01.0113 S2179-84512016000100113 S2179-84512016000100113.pdf |
url |
http://dx.doi.org/10.5540/tema.2016.017.01.0113 http://hdl.handle.net/11449/213387 |
identifier_str_mv |
TEMA (São Carlos). Sociedade Brasileira de Matemática Aplicada e Computacional, v. 17, n. 1, p. 113-126, 2016. 1677-1966 2179-8451 10.5540/tema.2016.017.01.0113 S2179-84512016000100113 S2179-84512016000100113.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
TEMA (São Carlos) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
113-126 application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Matemática Aplicada e Computacional |
publisher.none.fl_str_mv |
Sociedade Brasileira de Matemática Aplicada e Computacional |
dc.source.none.fl_str_mv |
SciELO reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803047394629124096 |