Large deviation principle for the maximal eigenvalue of inhomogeneous Erdős-Rényi random graphs

preprint2020arXivOpen access

Abstract

We consider an inhomogeneous Erdős-Rényi random graph GNG_N with vertex set [N]={1,…,N}[N] = \{1,\dots,N\} for which the pair of vertices i,j∈[N]i,j \in [N], i≠ji\neq j, is connected by an edge with probability r(iN,jN)r(\tfrac{i}{N},\tfrac{j}{N}), independently of other pairs of vertices. Here, r ⁣: [0,1]2→(0,1)r\colon\,[0,1]^2 \to (0,1) is a symmetric function that plays the role of a reference graphon. Let λNλ_N be the maximal eigenvalue of the adjacency matrix of GNG_N. It is known that λN/Nλ_N/N satisfies a large deviation principle as N→∞N \to \infty. The associated rate function ψrψ_r is given by a variational formula that involves the rate function IrI_r of a large deviation principle on graphon space. We analyse this variational formula in order to identify the properties of ψrψ_r, specially when the reference graphon is of rank 1.

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