Exact Algorithms for Computing Generalized Eigenspaces of Matrices via Jordan-Krylov Basis

Fuente: arXiv
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Auteurs principaux: Tajima, Shinichi, Ohara, Katsuyoshi, Terui, Akira
Format: Preprint
Publié: 2022
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author Tajima, Shinichi
Ohara, Katsuyoshi
Terui, Akira
author_facet Tajima, Shinichi
Ohara, Katsuyoshi
Terui, Akira
contents An effective exact method is proposed for computing generalized eigenspaces of a matrix of integers or rational numbers. Keys of our approach are the use of minimal annihilating polynomials and the concept of the Jourdan-Krylov basis. A new method, called Jordan-Krylov elimination, is introduced to design an algorithm for computing Jordan-Krylov basis. The resulting algorithm outputs generalized eigenspaces as a form of Jordan chains. Notably, in the output, components of generalized eigenvectors are expressed as polynomials in the associated eigenvalue as a variable.
format Preprint
id arxiv_https___arxiv_org_abs_2209_04807
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Exact Algorithms for Computing Generalized Eigenspaces of Matrices via Jordan-Krylov Basis
Tajima, Shinichi
Ohara, Katsuyoshi
Terui, Akira
Rings and Algebras
Symbolic Computation
Commutative Algebra
15A18, 68W30
An effective exact method is proposed for computing generalized eigenspaces of a matrix of integers or rational numbers. Keys of our approach are the use of minimal annihilating polynomials and the concept of the Jourdan-Krylov basis. A new method, called Jordan-Krylov elimination, is introduced to design an algorithm for computing Jordan-Krylov basis. The resulting algorithm outputs generalized eigenspaces as a form of Jordan chains. Notably, in the output, components of generalized eigenvectors are expressed as polynomials in the associated eigenvalue as a variable.
title Exact Algorithms for Computing Generalized Eigenspaces of Matrices via Jordan-Krylov Basis
topic Rings and Algebras
Symbolic Computation
Commutative Algebra
15A18, 68W30
url https://arxiv.org/abs/2209.04807