A Nonsingular Matrix with a Well-Conditioned Cosquare: How to Bring IT to Diagonal Form by a Congruence Transformation

There exist efficient programs for bringing a diagonalizable matrix to diagonal form by a similarity transformation. In theory of congruence transformations, unitoid matrices are analogs of diagonalizable matrices. However, excepting Hermitian and, more generally, normal matrices, there are no recognized programs for bringing a unitoid matrix to diagonal form by a congruence transformation. We propose an algorithm that is able to perform this task for a special class of unitoid matrices, namely, nonsingular matrices whose cosquares are well-conditioned with respect to the complete eigenproblem. Examples are presented to illustrate the performance of the algorithm.

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Publication Details

Journal
Computational Mathematics and Mathematical Physics
Published
2024-12-01
DOI
https://doi.org/10.1134/s0965542524701598
Citations
1
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.36
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article

A Nonsingular Matrix with a Well-Conditioned Cosquare: How to Bring IT to Diagonal Form by a Congruence Transformation

Х. Д. Икрамов, Ali Mohammad Nazari
1 citations
Computational Mathematics and Mathematical Physics
Matrix Theory and Algorithms
0.36
article

A Nonsingular Matrix with a Well-Conditioned Cosquare: How to Bring IT to Diagonal Form by a Congruence Transformation

Х. Д. Икрамов, Ali Mohammad Nazari
article en
1 citations

Abstract

There exist efficient programs for bringing a diagonalizable matrix to diagonal form by a similarity transformation. In theory of congruence transformations, unitoid matrices are analogs of diagonalizable matrices. However, excepting Hermitian and, more generally, normal matrices, there are no recognized programs for bringing a unitoid matrix to diagonal form by a congruence transformation. We propose an algorithm that is able to perform this task for a special class of unitoid matrices, namely, nonsingular matrices whose cosquares are well-conditioned with respect to the complete eigenproblem. Examples are presented to illustrate the performance of the algorithm.

Computational Mathematics and Mathematical PhysicsVol. 64(12)
Lomonosov Moscow State University (RU), Arak University (IR)
Decent work and economic growth
Openalex Percentile: Top 32%
Matrix Theory and Algorithms
0.36
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