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Upper triangularization of matrices by permutations and lower triangular similarity transformations

Authors :
Harm Bart
Source :
Linear Algebra and its Applications. :255-261
Publisher :
Published by Elsevier Inc.

Abstract

Let A be an arbitary (square) matrix. As is well known, there exists an invertible matrix S such that S-1AS is upper triangular. The present paper is concerned with the observation that S can always be chosen in the form S=∏L, where ∏ is a permutation matrix and L is lower triangular. Assuming that the eigenvalues of A are given, the matrices ∏, L, and U=L-1∏-1A∏L are constructed in an explicit way. The construction gives insight into the freedom one has in choosing the permutation matrix ∏. Two cases where ∏ can be chosen to be the identity matrix are discussed (A diagonable, A a low order Toeplitz matrix). There is a connection with systems theory.

Details

Language :
English
ISSN :
00243795
Database :
OpenAIRE
Journal :
Linear Algebra and its Applications
Accession number :
edsair.doi.dedup.....0ef263a670105250fab5bbae1a4fa45d
Full Text :
https://doi.org/10.1016/0024-3795(83)90139-8