15 September 2024 Supercritical percolation on finite transitive graphs I: Uniqueness of the giant component
Philip Easo, Tom Hutchcroft
Author Affiliations +
Duke Math. J. 173(13): 2563-2618 (15 September 2024). DOI: 10.1215/00127094-2023-0066

Abstract

Let (Gn)n1=((Vn,En))n1 be a sequence of finite, connected, vertex-transitive graphs with volume tending to infinity. We say that a sequence of parameters (pn)n1 in [0,1] is supercritical with respect to Bernoulli bond percolation PpG if there exists ε>0 and N< such that

P(1ε)pnGn(the largest cluster contains at leastε|Vn|vertices)ε

for every nN with pn<1. We prove that if (Gn)n1 is sparse, meaning that the degrees are sublinear in the number of vertices, then the supercritical giant cluster is unique with high probability in the sense that if (pn)n1 is supercritical, then

limnPpnGn(the second largest cluster contains at leastc|Vn|vertices)=0

for every c>0. This result is new even under the stronger hypothesis that (Gn)n1 has uniformly bounded vertex degrees, in which case it verifies a conjecture of Benjamini (2001). Previous work of many authors had established the same theorem for complete graphs, tori, hypercubes, and bounded degree expander graphs, each using methods that are highly specific to the examples they treated. We also give a complete solution to the problem of supercritical uniqueness for dense vertex-transitive graphs, establishing a simple, necessary, and sufficient isoperimetric condition for uniqueness to hold.

Citation

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Philip Easo. Tom Hutchcroft. "Supercritical percolation on finite transitive graphs I: Uniqueness of the giant component." Duke Math. J. 173 (13) 2563 - 2618, 15 September 2024. https://doi.org/10.1215/00127094-2023-0066

Information

Received: 29 August 2023; Revised: 24 October 2023; Published: 15 September 2024
First available in Project Euclid: 26 September 2024

zbMATH: 07928018
MathSciNet: MR4801596
Digital Object Identifier: 10.1215/00127094-2023-0066

Subjects:
Primary: 60K35

Keywords: Giant component , percolation , random graph

Rights: Copyright © 2024 Duke University Press

Vol.173 • No. 13 • 15 September 2024
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