Algorithms for Simultaneous Block Triangularization and Block Diagonalization of Sets of Matrices

Fuente: arXiv
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Main Authors: Al-Dweik, Ahmad Y., Ghanam, Ryad, Thompson, Gerard, Mustafa, M. T.
Format: Preprint
Published: 2021
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author Al-Dweik, Ahmad Y.
Ghanam, Ryad
Thompson, Gerard
Mustafa, M. T.
author_facet Al-Dweik, Ahmad Y.
Ghanam, Ryad
Thompson, Gerard
Mustafa, M. T.
contents In a recent paper, a new method was proposed to find the common invariant subspaces of a set of matrices. This paper invstigates the more general problem of putting a set of matrices into block triangular or block-diagonal form simultaneously. Based on common invariant subspaces, two algorithms for simultaneous block triangularization and block diagonalization of sets of matrices are presented. As an alternate approach for simultaneous block diagonalization of sets of matrices by an invertible matrix, a new algorithm is developed based on the generalized eigen vectors of a commuting matrix. Moreover, a new characterization for the simultaneous block diagonalization by an invertible matrix is provided. The algorithms are applied to concrete examples using the symbolic manipulation system Maple.
format Preprint
id arxiv_https___arxiv_org_abs_2104_06233
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Algorithms for Simultaneous Block Triangularization and Block Diagonalization of Sets of Matrices
Al-Dweik, Ahmad Y.
Ghanam, Ryad
Thompson, Gerard
Mustafa, M. T.
General Mathematics
In a recent paper, a new method was proposed to find the common invariant subspaces of a set of matrices. This paper invstigates the more general problem of putting a set of matrices into block triangular or block-diagonal form simultaneously. Based on common invariant subspaces, two algorithms for simultaneous block triangularization and block diagonalization of sets of matrices are presented. As an alternate approach for simultaneous block diagonalization of sets of matrices by an invertible matrix, a new algorithm is developed based on the generalized eigen vectors of a commuting matrix. Moreover, a new characterization for the simultaneous block diagonalization by an invertible matrix is provided. The algorithms are applied to concrete examples using the symbolic manipulation system Maple.
title Algorithms for Simultaneous Block Triangularization and Block Diagonalization of Sets of Matrices
topic General Mathematics
url https://arxiv.org/abs/2104.06233