The Dirichlet Markov Ensemble

preprint2009arXivOpen access

Abstract

We equip the polytope of n×nn\times n Markov matrices with the normalized trace of the Lebesgue measure of Rn2\mathbb{R}^{n^2}. This probability space provides random Markov matrices, with i.i.d. rows following the Dirichlet distribution of mean (1/n,...,1/n)(1/n,...,1/n). We show that if $\bM$ is such a random matrix, then the empirical distribution built from the singular values of$\sqrt{n} \bM$ tends as n→∞n\to\infty to a Wigner quarter--circle distribution. Some computer simulations reveal striking asymptotic spectral properties of such random matrices, still waiting for a rigorous mathematical analysis. In particular, we believe that with probability one, the empirical distribution of the complex spectrum of $\sqrt{n} \bM$ tends as n→∞n\to\infty to the uniform distribution on the unit disc of the complex plane, and that moreover, the spectral gap of $\bM$ is of order 1−1/n1-1/\sqrt{n} when nn is large.

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