English

On percolation critical probabilities and unimodular random graphs

Probability 2020-05-14 v3

Abstract

We investigate generalisations of the classical percolation critical probabilities pcp_c, pTp_T and the critical probability pc~\tilde{p_c} defined by Duminil-Copin and Tassion (2015) to bounded degree unimodular random graphs. We further examine Schramm's conjecture in the case of unimodular random graphs: does pc(Gn)p_c(G_n) converge to pc(G)p_c(G) if GnGG_n\to G in the local weak sense? Among our results are the following: 1. pc=pc~p_c=\tilde{p_c} holds for bounded degree unimodular graphs. However, there are unimodular graphs with sub-exponential volume growth and pT<pcp_T < p_c; i.e., the classical sharpness of phase transition does not hold. 2. We give conditions which imply limpc(Gn)=pc(limGn)\lim p_c(G_n) = p_c(\lim G_n). 3. There are sequences of unimodular graphs such that GnGG_n\to G but pc(G)>limpc(Gn)p_c(G)>\lim p_c(G_n) or pc(G)<limpc(Gn)<1p_c(G)<\lim p_c(G_n)<1. As a corollary to our positive results, we show that for any transitive graph with sub-exponential volume growth there is a sequence TnT_n of large girth bi-Lipschitz invariant subgraphs such that pc(Tn)1p_c(T_n)\to 1. It remains open whether this holds whenever the transitive graph has cost 1.

Keywords

Cite

@article{arxiv.1609.07043,
  title  = {On percolation critical probabilities and unimodular random graphs},
  author = {Dorottya Beringer and Gábor Pete and Ádám Timár},
  journal= {arXiv preprint arXiv:1609.07043},
  year   = {2020}
}

Comments

28 pages, 1 figure. The paper is reorganized, the theorem numbering is completely changed

R2 v1 2026-06-22T15:58:09.936Z