Partial classification of spectrum maximizing products for pairs of $2\times2$ matrices

Fuente: arXiv
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Auteur principal: Laskawiec, Piotr
Format: Preprint
Publié: 2024
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author Laskawiec, Piotr
author_facet Laskawiec, Piotr
contents Experiments suggest that typical finite sets of square matrices admit spectrum maximizing products (SMPs): that is, products that attain the joint spectral radius (JSR). Furthermore, those SMPs are often combinatorially "simple." In this paper, we consider pairs of real $2 \times 2$ matrices. We identify regions in the space of such pairs where SMPs are guaranteed to exist and to have a simple structure. We also identify another region where SMPs may fail to exist (in fact, this region includes all known counterexamples to the finiteness conjecture), but nevertheless a Sturmian maximizing measure exists. Though our results apply to a large chunk of the space of pairs of $2 \times 2$ matrices, including for instance all pairs of non-negative matrices, they leave out certain "wild" regions where more complicated behavior is possible.
format Preprint
id arxiv_https___arxiv_org_abs_2406_16680
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Partial classification of spectrum maximizing products for pairs of $2\times2$ matrices
Laskawiec, Piotr
Optimization and Control
15A18 (primary), 15A60, 20G05, 37H15 (secondary)
Experiments suggest that typical finite sets of square matrices admit spectrum maximizing products (SMPs): that is, products that attain the joint spectral radius (JSR). Furthermore, those SMPs are often combinatorially "simple." In this paper, we consider pairs of real $2 \times 2$ matrices. We identify regions in the space of such pairs where SMPs are guaranteed to exist and to have a simple structure. We also identify another region where SMPs may fail to exist (in fact, this region includes all known counterexamples to the finiteness conjecture), but nevertheless a Sturmian maximizing measure exists. Though our results apply to a large chunk of the space of pairs of $2 \times 2$ matrices, including for instance all pairs of non-negative matrices, they leave out certain "wild" regions where more complicated behavior is possible.
title Partial classification of spectrum maximizing products for pairs of $2\times2$ matrices
topic Optimization and Control
15A18 (primary), 15A60, 20G05, 37H15 (secondary)
url https://arxiv.org/abs/2406.16680