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Journal of Multivariate Analysis 101 (2010) 555-567
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The Dirichlet Markov Ensemble
Djalil Chafai 1
(2010-01-01)

We equip the polytope of $n\times n$ Markov matrices with the normalized trace of the Lebesgue measure of $\mathbb{R}^{n^2}$. This probability space provides random Markov matrices, with i.i.d.\ rows following the Dirichlet distribution of mean $(1/n,\ldots,1/n)$. 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 $n\to\infty$ 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 $n\to\infty$ to the uniform distribution on the unit disc of the complex plane, and that moreover, the spectral gap of $\bM$ is of order $1-1/\sqrt{n}$ when $n$ is large.
1:  Laboratoire d'Analyse et de Mathématiques Appliquées (LAMA)
CNRS : UMR8050 – Université Paris XII - Paris Est Créteil Val-de-Marne – Université Paris XII - Paris Est Créteil Val-de-Marne
Mathematics/Probability

Mathematics/Spectral Theory
Random matrices – Markov matrices – Dirichlet distributions – Spectral gap – singular values
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