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Upper tail bounds for irregular graphs

Published 7 Mar 2025 in math.PR and math.CO | (2503.05311v3)

Abstract: We consider the upper tail large deviations of subgraph counts for irregular graphs H\mathrm{H} in G(n,p)\mathbb{G}(n,p), the sparse Erd\H{o}s-R\'enyi graph on nn vertices with edge connectivity probability p(0,1)p \in (0,1). For n<sup>1/Δ</sup>p1n<sup>{-1/\Delta}</sup> \ll p \ll 1, where Δ\Delta is the maximum degree of H\mathrm{H}, we derive the upper tail large deviations for any irregular graph H\mathrm{H}. On the other hand, we show that for pp such that 1n<sup>vH</sup>p<sup>eH</sup>(logn)<sup>α<sup><em>H/(α<sup></sup></em>H1)1 \ll n<sup>{v_{\mathrm{H}}}</sup> p<sup>{e_{\mathrm{H}}}</sup> \ll (\log n)<sup>{\alpha<sup>{<em>}_{\mathrm{H}}/\left(\alpha<sup>{</sup></em>}_{\mathrm{H}}-1\right)}, where vHv_{\mathrm{H}} and eHe_{\mathrm{H}} denote the number of vertices and edges of H\mathrm{H}, and α<sup>H\alpha<sup>*_{\mathrm{H}} denotes the fractional independence number, the upper tail large deviations of the number of unlabelled copies of H\mathrm{H} in G(n,p)\mathbb{G}(n,p) is given by that of a sequence of Poisson random variables with diverging mean, for any strictly balanced graph H\mathrm{H}. Restricting to the rr-armed star graph we further prove a localized behavior in the intermediate range of pp (left open by the above two results) and show that the mean-field approximation is asymptotically tight for the logarithm of the upper tail probability. This work further identifies the typical structures of G(n,p)\mathbb{G}(n,p) conditioned on upper tail rare events in the localized regime.

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