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Large Complete Minors from a Cheeger Condition

Chengli Li, Leyou Xu, Bo Zhou

Source record

Source: arXiv

Published: Sep 14, 2026

arXiv: 2609.15414

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Source abstract

Let GG be a graph on nn vertices, and let eG(S,V(G)S)e_G(S,V(G)\setminus S) be the number of edges with exactly one endpoint in SS. The Cheeger constant and the restricted Cheeger constant of GG, where k1k\ge1 is real, are, respectively, h(G)=minSV(G)Sn2eG(S,V(G)S)S and hk(G)=minSV(G)Smin{k,n2}eG(S,V(G)S)S. h(G)=\min_{\substack{\emptyset\ne S\subseteq V(G)\\|S|\le \frac{n}{2}}} \frac{e_G(S,V(G)\setminus S)}{|S|} \text{ and } h_k(G)=\min_{\substack{\emptyset\ne S\subseteq V(G) |S|\le\min\{k,\frac{n}{2}\}}} \frac{e_G(S,V(G)\setminus S)}{|S|}. The contraction clique number $\ccl(G)$ is the largest integer rr such that GG contains the complete graph KrK_r as a minor. Krivelevich and Nenadov [Complete minors in graphs without sparse cuts, Int. Math. Res. Not. IMRN 12 (2021) 8996--9015] proved that, for every fixed $\eps>0$ and all sufficiently large nn and dd, if GG is a graph on nn vertices with maximum degree at most dd, then $h(G)\ge\eps d$ and $h_{\eps n}(G)\ge(\frac{1}{2}+\eps)d$ imply $\ccl(G)=Ω_\eps(\sqrt{\frac{nd}{\log d}})$. They asked to determine if one can guarantee the same lower bound on $\ccl(G)$ without the additional condition on $h_{\eps n}(G)$. They showed that this is the case when dd is a constant. We answer this question affirmatively. For every $\eps>0$, there are constants $β=β(\eps)>0$ and $n_0=n_0(\eps)$ such that, whenever d3d\ge 3 is an integer, for every graph GG with nn0n\ge n_0 vertices and maximum degree at most dd, if $h(G)\ge\eps d$, then $\ccl(G)\geβ\sqrt{\frac{nd}{\log d}}$. The dependence of this lower bound on nn and dd is best possible up to a constant factor. As a corollary, a lower bound is derived for the contraction clique number of dd-regular graphs for which the second largest eigenvalue is bounded away from dd, compared to earlier d2\frac{d}{2}. The proof combines spectral properties of graphs with an analysis of lazy random walks.

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