English

Extremal sequences of polynomial complexity

Optimization and Control 2017-05-24 v3 Discrete Mathematics Dynamical Systems Operator Algebras

Abstract

The joint spectral radius of a bounded set of d×dd \times 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 \emph{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 p1p \geq 1, there exists a pair of square matrices of dimension 2p(2p+11)2^p(2^{p+1}-1) for which every extremal sequence has subword complexity at least 2p2np2^{-p^2}n^p.

Keywords

Cite

@article{arxiv.1201.6236,
  title  = {Extremal sequences of polynomial complexity},
  author = {Kevin G. Hare and Ian D. Morris and Nikita Sidorov},
  journal= {arXiv preprint arXiv:1201.6236},
  year   = {2017}
}

Comments

15 pages

R2 v1 2026-06-21T20:11:50.294Z