English

Upper tail of the spectral radius of sparse Erd\H{o}s-R\'{e}nyi graphs

Probability 2023-09-08 v3 Mathematical Physics Combinatorics math.MP Spectral Theory

Abstract

We consider an Erd\H{o}s-R\'{e}nyi graph G(n,p)\mathbb{G}(n,p) on nn vertices with edge probability pp such that lognloglognnpn1/2o(1),\labeleq:abs() \sqrt{\frac{\log n}{\log \log n}} \ll np \le n^{1/2-o(1)}, \label{eq:abs} \tag{$\dagger$} and derive the upper tail large deviations of λ(G(n,p))\lambda(\mathbb{G}(n,p)), the largest eigenvalue of its adjacency matrix. Within this regime we show that, for pn2/3p \gg n^{-2/3} the log\log-probability of the upper tail event of λ(G(n,p))\lambda(\mathbb{G}(n,p)) equals to that of planting a clique of an appropriate size (upon ignoring smaller order terms), while for pn2/3p \ll n^{-2/3} the same is given by that of the existence of a high degree vertex. This, in particular, shows an emergence of {\em non-planted localized structure} in the latter regime. We also confirm that in the entire regime \eqref{eq:abs} the large deviation probability is asymptotically approximated by the solution of the mean-field variational problem, and further identify the typical structure of G(n,p)\mathbb{G}(n,p) conditioned on the upper tail event of λ(G(n,p))\lambda(\mathbb{G}(n,p)) in a certain sub-regime of pp. For pp such that log(np)logn\log(np) \gtrsim \log n the large deviations of λ(G(n,p))\lambda(\mathbb{G}(n,p)) is deduced from those of Hom(C2t,G(n,p)){\rm Hom}(C_{2t}, \mathbb{G}(n,p)), the homomorphism counts of cycle of length 2t2t, for t3t \ge 3 and pp such that n1/2o(1)npn1/tn^{1/2-o(1)} \ge np \gg n^{1/t}. In this latter regime the typical structure of G(n,p)\mathbb{G}(n,p) conditioned on the upper tail of Hom(C2t,G(n,p)){\rm Hom}(C_{2t}, \mathbb{G}(n,p)) is identified and asymptotic tightness of the mean-field approximation is also established.

Keywords

Cite

@article{arxiv.2109.06242,
  title  = {Upper tail of the spectral radius of sparse Erd\H{o}s-R\'{e}nyi graphs},
  author = {Anirban Basak},
  journal= {arXiv preprint arXiv:2109.06242},
  year   = {2023}
}

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