On percolation critical probabilities and unimodular random graphs
Dorottya Beringer, G\'abor Pete, \'Ad\'am Tim\'ar

TL;DR
This paper explores percolation critical probabilities on unimodular random graphs, establishing new relationships, counterexamples, and conditions for convergence, thereby advancing understanding of phase transitions in complex graph structures.
Contribution
It generalizes classical percolation thresholds to unimodular graphs, proves equality of certain critical probabilities, and provides counterexamples and convergence conditions.
Findings
$p_c = ilde{p_c}$ for bounded degree unimodular graphs
Existence of unimodular graphs with $p_T < p_c$ and sub-exponential growth
Counterexamples where $p_c(G_n)$ does not converge to $p_c(G)$
Abstract
We investigate generalisations of the classical percolation critical probabilities , and the critical probability 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 converge to if in the local weak sense? Among our results are the following: 1. holds for bounded degree unimodular graphs. However, there are unimodular graphs with sub-exponential volume growth and ; i.e., the classical sharpness of phase transition does not hold. 2. We give conditions which imply . 3. There are sequences of unimodular graphs such that but or . As a corollary to our positive results, we show that for any…
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.
