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Large deviation principle for the maximal eigenvalue of inhomogeneous Erd\H{o}s-R\'enyi random graphs

Probability 2020-08-20 v1 Mathematical Physics math.MP

Abstract

We consider an inhomogeneous Erd\H{o}s-R\'enyi 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], iji\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 λN\lambda_N be the maximal eigenvalue of the adjacency matrix of GNG_N. It is known that λN/N\lambda_N/N satisfies a large deviation principle as NN \to \infty. The associated rate function ψr\psi_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 ψr\psi_r, specially when the reference graphon is of rank 1.

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Cite

@article{arxiv.2008.08367,
  title  = {Large deviation principle for the maximal eigenvalue of inhomogeneous Erd\H{o}s-R\'enyi random graphs},
  author = {Arijit Chakrabarty and Rajat Subhra Hazra and Frank den Hollander and Matteo Sfragara},
  journal= {arXiv preprint arXiv:2008.08367},
  year   = {2020}
}

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21 pages