Gap at 1 for the percolation threshold of Cayley graphs
Christoforos Panagiotis, Franco Severo

TL;DR
This paper proves a gap at 1 in the possible percolation thresholds of Cayley graphs, showing thresholds are either exactly 1 or bounded away from 1 by a positive constant.
Contribution
It introduces a novel approach combining Gaussian free field techniques with group structure theorems to establish the gap at 1 for Cayley graph percolation thresholds.
Findings
Percolation thresholds of Cayley graphs are either 1 or at most 1 - ε₀.
Established a uniform gap at 1 for all Cayley graphs.
Connected percolation phase transition properties with group structure.
Abstract
We prove that the set of possible values for the percolation threshold of Cayley graphs has a gap at 1 in the sense that there exists such that for every Cayley graph one either has or . The proof builds on the new approach of Duminil-Copin, Goswami, Raoufi, Severo & Yadin to the existence of phase transition using the Gaussian free field, combined with the finitary version of Gromov's theorem on the structure of groups of polynomial growth of Breuillard, Green & Tao.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals · Markov Chains and Monte Carlo Methods
