Spectral Statistics of Sparse Random Graphs with a General Degree Distribution

preprint2015arXivOpen access

Abstract

We consider the adjacency matrices of sparse random graphs from the Chung-Lu model, where edges are added independently between the NN vertices with varying probabilities pijp_{ij}. The rank of the matrix (pij)(p_{ij}) is some fixed positive integer. We prove that the distribution of eigenvalues is given by the solution of a functional self-consistent equation. We prove a local law down to the optimal scale and prove bulk universality. The results are parallel to \cite{Erdos2013b} and \cite{Landon2015}.

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