A hybrid approach to joint spectral radius computation

In this paper we propose a new method to determine the joint spectral radius of a finite set of real matrices by verifying that a given family of candidates actually consists of spectrum maximizing products. Our algorithm aims at constructing a finite set-valued tree according to the approach of Möller and Reif using a norm that is constructed in the spirit of the invariant polytope algorithm. This combines the broad range of applicability of the first algorithm with the efficiency of the latter. • Novel approach for joint spectral radius computation. • Algorithm remains rigorous. • Algorithm has more general termination guarantees than classical invariant polytope algorithm.

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Publication Details

Journal
Linear Algebra and its Applications
Published
2025-07-01
DOI
https://doi.org/10.1016/j.laa.2025.06.024
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

A hybrid approach to joint spectral radius computation

Thomas Mejstrik, Ulrich Reif
Linear Algebra and its Applications
Advanced Numerical Analysis Techniques
article

A hybrid approach to joint spectral radius computation

Thomas Mejstrik, Ulrich Reif
article en

Abstract

In this paper we propose a new method to determine the joint spectral radius of a finite set of real matrices by verifying that a given family of candidates actually consists of spectrum maximizing products. Our algorithm aims at constructing a finite set-valued tree according to the approach of Möller and Reif using a norm that is constructed in the spirit of the invariant polytope algorithm. This combines the broad range of applicability of the first algorithm with the efficiency of the latter. • Novel approach for joint spectral radius computation. • Algorithm remains rigorous. • Algorithm has more general termination guarantees than classical invariant polytope algorithm.

Linear Algebra and its Applications
Darmstadt University of Applied Sciences (DE), University of Vienna (AT), Technische Universität Darmstadt (DE)
Austrian Science Fund
Openalex Percentile: Top 83%
Advanced Numerical Analysis Techniques
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