Edge universality of sparse Erdos-R\'enyi digraphs

Abstract

Let A be the adjacency matrix of the Erdos-R\'enyi directed graph G(N,p). We denote the eigenvalues of A by λ1 A,...,λ AN, and |λ1 A|=i|λi A|. For N-1+o(1)≤ p≤ 1/2, we show that \[ i=2,3,...,N |λi ANp(1-p)| =1+O(N-1/2+o(1)) \] with very high probability. In addition, we prove that near the unit circle, the local eigenvalue statistics of A/Np(1-p) coincide with those of the real Ginibre ensemble. As a by-product, we also show that all non-trivial eigenvectors of A are completely delocalized. For Hermitian random matrices, it is known that the edge statistics are sensitive to the sparsity: in the very sparse regime, one needs to remove many noise random variables (which affect both the mean and the fluctuation) to recover the Tracy-Widom distribution. Our results imply that, compared to their analogues in the Hermitian case, the edge statistics of non-Hermitian sparse random matrices are more robust.

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