Extremal sequences of polynomial complexity

Kevin G. Hare, Ian D. Morris, Nikita Sidorov

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    Abstract

    The joint spectral radius of a bounded set of d × d real matrices is defined to be the maximum possible exponential growth rate of products of matrices drawn from that set. For a fixed set of matrices, a sequence of matrices drawn from that set is called extremal if the associated sequence of partial products achieves this maximal rate of growth. An influential conjecture of J. Lagarias and Y. Wang asked whether every finite set of matrices admits an extremal sequence which is periodic. This is equivalent to the assertion that every finite set of matrices admits an extremal sequence with bounded subword complexity. Counterexamples were subsequently constructed which have the property that every extremal sequence has at least linear subword complexity. In this paper we extend this result to show that for each integer p ≥ 1, there exists a pair of square matrices of dimension 2p(2p+1-1) for which every extremal sequence has subword complexity at least 2 p2. © 2013 Cambridge Philosophical Society.
    Original languageEnglish
    Pages (from-to)191-205
    Number of pages14
    JournalMathematical Proceedings of the Cambridge Philosophical Society
    Volume155
    Issue number2
    DOIs
    Publication statusPublished - Sept 2013

    Keywords

    • Sturmian word, joint spectral radius, subword complexity, extremal sequence

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