Planar percolation and the loop O(n) model
Alexander Glazman, Matan Harel, Nathan Zelesko
TL;DR
This work proves a general dichotomy for planar site percolation under tail triviality, positive association, and domination by the complement, showing that the number of infinite clusters is either $0$ or $\infty$ and obtaining a sharp bound $p_c(G)\ge \tfrac{1}{2}$ for invariantly amenable unimodular planar graphs. The authors then apply this framework to the loop $O(n)$ model on the hexagonal lattice, establishing that for $n\in[1,2]$ and $x\in[1/\sqrt{2},1]$ every face is surrounded by infinitely many loops under translation-invariant Gibbs measures, and they derive RS-W-type crossing bounds in the subcritical region. The approach leverages Edwards–Sokal-type graphical representations and divide-and-color constructions to obtain positive association on quenched measures, enabling percolation arguments even when monotonicity is absent. Together, these results advance understanding of macroscopic structures in planar, nonmonotone models and provide robust tools to analyze percolation phenomena on general planar graphs and random planar maps.
Abstract
We show that a large class of site percolation processes on any planar graph contains either zero or infinitely many infinite connected components. The assumptions that we require are: tail triviality, positive association (FKG) and that the set of open vertices is stochastically dominated by the set of closed ones. This covers the case of Bernoulli site percolation at parameter $p\leq 1/2$ and resolves Conjecture 8 from the work of Benjamini and Schramm from 1996. Our result also implies that $p_c\geq 1/2$ for any invariantly amenable unimodular random rooted planar graph. Furthermore, we apply our statement to the loop O(n) model on the hexagonal lattice and confirm a part of the phase diagram conjectured by Nienhuis in 1982: the existence of infinitely many loops around every face whenever $n\in [1,2]$ and $x\in [1/\sqrt{2},1]$. The point $n=2,x=1/\sqrt{2}$ is conjectured to be critical. This is the first instance that this behavior has been proven in such a large region of parameters. In a big portion of this region, the loop O(n) model has no known FKG representation. We apply our percolation result to quenched distributions that can be described as divide and color models.
