Computing Left Eigenvalues of Quaternion Matrices

Fuente: arXiv
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Main Author: Sebek, Michael
Format: Preprint
Published: 2026
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author Sebek, Michael
author_facet Sebek, Michael
contents We present a practical Newton-based method for computing left eigenvalues of quaternion matrices. It uses only standard real/complex linear-algebra kernels via embeddings and applies to matrices of any size. Extensive tests on literature examples and benchmark ensembles, together with a compact MATLAB reference implementation, demonstrate reproducible, certificate-based computations up to size 64x64, including the detection of multiple spherical components and non-generic phenomena such as more than n isolated left eigenvalues and left-spectrum deficiency.
format Preprint
id arxiv_https___arxiv_org_abs_2603_00018
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Computing Left Eigenvalues of Quaternion Matrices
Sebek, Michael
Rings and Algebras
15A33, 15A18, 65F15, 65H10
We present a practical Newton-based method for computing left eigenvalues of quaternion matrices. It uses only standard real/complex linear-algebra kernels via embeddings and applies to matrices of any size. Extensive tests on literature examples and benchmark ensembles, together with a compact MATLAB reference implementation, demonstrate reproducible, certificate-based computations up to size 64x64, including the detection of multiple spherical components and non-generic phenomena such as more than n isolated left eigenvalues and left-spectrum deficiency.
title Computing Left Eigenvalues of Quaternion Matrices
topic Rings and Algebras
15A33, 15A18, 65F15, 65H10
url https://arxiv.org/abs/2603.00018