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Circular law for the sum of random permutation matrices (1705.09053v2)

Published 25 May 2017 in math.PR and math.CO

Abstract: Let $P_n1,\dots, P_nd$ be $n\times n$ permutation matrices drawn independently and uniformly at random, and set $S_nd:=\sum_{\ell=1}d P_n\ell$. We show that if $\log{12}n/(\log \log n){4} \le d=O(n)$, then the empirical spectral distribution of $S_nd/\sqrt{d}$ converges weakly to the circular law in probability as $n \to \infty$.

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