On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices

The singular values σ > 1 of an n × n involutory matrix A appear in pairs (σ, 1σ{1 \over \sigma }). Their left and right singular vectors are closely connected. The case of singular values σ = 1 is discussed in detail. These singular values may appear in pairs (1,1) with closely connected left an...

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Main Authors: Faßbender Heike, Halwaß Martin
Format: Article
Language:English
Published: De Gruyter 2020-01-01
Series:Special Matrices
Subjects:
Online Access:https://doi.org/10.1515/spma-2020-0001
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spelling doaj-9794f7b87ae84ff8808886712eeab6762021-10-02T18:54:20ZengDe GruyterSpecial Matrices2300-74512020-01-018111310.1515/spma-2020-0001spma-2020-0001On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matricesFaßbender Heike0Halwaß Martin1Institut Computational Mathematics/AG Numerik, TU Braunschweig, Universitätsplatz 2, 38106Braunschweig, GermanyKampstraße 7, 17121Loitz, GermanyThe singular values σ > 1 of an n × n involutory matrix A appear in pairs (σ, 1σ{1 \over \sigma }). Their left and right singular vectors are closely connected. The case of singular values σ = 1 is discussed in detail. These singular values may appear in pairs (1,1) with closely connected left and right singular vectors or by themselves. The link between the left and right singular vectors is used to reformulate the singular value decomposition (SVD) of an involutory matrix as an eigendecomposition. This displays an interesting relation between the singular values of an involutory matrix and its eigenvalues. Similar observations hold for the SVD, the singular values and the coneigenvalues of (skew-)coninvolutory matrices.https://doi.org/10.1515/spma-2020-0001singular value decomposition(skew-)involutory matrix(skew-)coninvolutoryconsimilarity15a2365f99
collection DOAJ
language English
format Article
sources DOAJ
author Faßbender Heike
Halwaß Martin
spellingShingle Faßbender Heike
Halwaß Martin
On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices
Special Matrices
singular value decomposition
(skew-)involutory matrix
(skew-)coninvolutory
consimilarity
15a23
65f99
author_facet Faßbender Heike
Halwaß Martin
author_sort Faßbender Heike
title On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices
title_short On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices
title_full On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices
title_fullStr On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices
title_full_unstemmed On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices
title_sort on the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices
publisher De Gruyter
series Special Matrices
issn 2300-7451
publishDate 2020-01-01
description The singular values σ > 1 of an n × n involutory matrix A appear in pairs (σ, 1σ{1 \over \sigma }). Their left and right singular vectors are closely connected. The case of singular values σ = 1 is discussed in detail. These singular values may appear in pairs (1,1) with closely connected left and right singular vectors or by themselves. The link between the left and right singular vectors is used to reformulate the singular value decomposition (SVD) of an involutory matrix as an eigendecomposition. This displays an interesting relation between the singular values of an involutory matrix and its eigenvalues. Similar observations hold for the SVD, the singular values and the coneigenvalues of (skew-)coninvolutory matrices.
topic singular value decomposition
(skew-)involutory matrix
(skew-)coninvolutory
consimilarity
15a23
65f99
url https://doi.org/10.1515/spma-2020-0001
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