Open Access
2018 Circular law for the sum of random permutation matrices
Anirban Basak, Nicholas Cook, Ofer Zeitouni
Electron. J. Probab. 23: 1-51 (2018). DOI: 10.1214/18-EJP162
Abstract

Let $P_n^1,\dots , P_n^d$ be $n\times n$ permutation matrices drawn independently and uniformly at random, and set $S_n^d:=\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_n^d/\sqrt{d} $ converges weakly to the circular law in probability as $n \to \infty $.

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Anirban Basak, Nicholas Cook, and Ofer Zeitouni "Circular law for the sum of random permutation matrices," Electronic Journal of Probability 23(none), 1-51, (2018). https://doi.org/10.1214/18-EJP162
Received: 29 May 2017; Accepted: 27 March 2018; Published: 2018
Vol.23 • 2018
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