Non-Sturmian sequences of matrices providing the maximum growth rate of matrix products
Victor Kozyakin

TL;DR
This paper demonstrates that for certain matrix classes, the sequences maximizing growth rates are not Sturmian, challenging previous assumptions and opening new questions for theoretical analysis in matrix product growth dynamics.
Contribution
It introduces a class of matrices where the optimal growth sequences are non-Sturmian, contrary to prior findings that mostly involved Sturmian or periodic sequences.
Findings
Maximizing sequences can be non-Sturmian for specific matrix classes
Numerical modeling suggests non-Sturmian growth-maximizing sequences exist
Challenges existing beliefs about the nature of optimal matrix product sequences
Abstract
In the theory of linear switching systems with discrete time, as in other areas of mathematics, the problem of studying the growth rate of the norms of all possible matrix products with factors from a set of matrices arises. So far, only for a relatively small number of classes of matrices has it been possible to accurately describe the sequences of matrices that guarantee the maximum rate of increase of the corresponding norms. Moreover, in almost all cases studied theoretically, the index sequences of matrices maximizing the norms of the corresponding matrix products have been shown to be periodic or so-called Sturmian, which entails a whole set of "good" properties of the sequences , in particular the existence of a limiting frequency of occurrence of each matrix factor…
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Taxonomy
TopicsAdvanced Theoretical and Applied Studies in Material Sciences and Geometry · Material Science and Thermodynamics · Matrix Theory and Algorithms
