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Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding
ID He, Haoze (Author), ID Kressner, Daniel (Author), ID Plestenjak, Bor (Author)

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Abstract
It is well known that a family of $n \times n$ commuting matrices can be simultaneously triangularized by a unitary similarity transformation. The diagonal entries of the triangular matrices define the $n$ joint eigenvalues of the family. In this work, we consider the task of numerically computing approximations to such joint eigenvalues for a family of (nearly) commuting matrices. This task arises, for example, in solvers for multiparameter eigenvalue problems and systems of multivariate polynomials, which are our main motivations. We propose and analyze a simple approach that computes eigenvalues as one-sided or two-sided Rayleigh quotients from eigenvectors of a random linear combination of the matrices in the family. We provide some analysis and numerous numerical examples, showing that such randomized approaches can compute semisimple joint eigenvalues accurately and lead to improved performance of existing solvers.

Language:English
Keywords:commuting matrices, joint eigenvalues, Rayleigh quotient, randomized numerical linear algebra, multiparameter eigenvalue problems, polynomial systems
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FMF - Faculty of Mathematics and Physics
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:Str. 861–892
Numbering:Vol. 100, iss. 3
PID:20.500.12556/RUL-175108 This link opens in a new window
UDC:519.6
ISSN on article:1017-1398
DOI:10.1007/s11075-024-01971-0 This link opens in a new window
COBISS.SI-ID:215046403 This link opens in a new window
Publication date in RUL:16.10.2025
Views:356
Downloads:175
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Record is a part of a journal

Title:Numerical algorithms
Shortened title:Numer. algorithms
Publisher:Springer Nature
ISSN:1017-1398
COBISS.SI-ID:30694400 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:komutirajoče matrike, skupne lastne vrednosti, Rayleighov kvocient, verjetnostna numerična linearna algebra, večparametrični problemi lastnih vrednosti, polinomski sistemi

Projects

Funder:SNSF - Swiss National Science Foundation
Project number:200021L_192049
Name:Probabilistic methods for joint and singular eigenvalue problems

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N1-0154
Name:Verjetnostne metode za skupne in singularne probleme lastnih vrednosti

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0294
Name:Računsko intenzivne metode v teoretičnem računalništvu, diskretni matematiki, kombinatorični optimizaciji ter numerični analizi in algebri z uporabo v naravoslovju in družboslovju

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