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Upper triangularization of matrices by permutations and lower triangular similarity transformations
- 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.
- Subjects :
- Numerical Analysis
Algebra and Number Theory
Square root of a 2 by 2 matrix
Triangular matrix
Generalized permutation matrix
Permutation matrix
Square matrix
Combinatorics
Integer matrix
Discrete Mathematics and Combinatorics
Exchange matrix
Geometry and Topology
Anti-diagonal matrix
Mathematics
Subjects
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