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The toughness of random graphs

Guang Li, Wenqian Zhang

Source record

Source: arXiv

Published: Aug 31, 2026

arXiv: 2608.31056

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Source abstract

For a connected and non-complete graph GG of order nn, its toughness is defined as τ(G)=min{S/c(GS):SV(G), c(GS)>1}, τ(G)=\min\bigl\{|S|/c(G-S):S\subseteq V(G),\ c(G-S)>1\bigr\}, where c(GS)c(G-S) denotes the number of components of GSG-S. Let α(G)α(G) denote the independence number of GG. An elementary bound on toughness is τ(G)nα(G)α(G).τ(G)\leq\frac{n-α(G)}{α(G)}. Let G(n,p)G(n,p) be the binomial random graph on vertex set [n][n]. Set a=α(G(n,p))a=α(G(n,p)). In this paper, we prove that τ(G(n,p))=naa+o(1) τ(G(n,p))=\frac{n-a}{a}+o(1) with high probability. Moreover, we show that there is a sequence nmn_m\to\infty such that with high probability, τ(G(nm,p))nmaa1a. τ(G(n_{m},p)) \le\frac{n_{m}-a}a-\frac{1}{a}.

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