A new bound for the critical point of the FK model for $q<1$
Vincent Beffara, Corentin Faipeur, Tejas Oke
TL;DR
This work addresses the FK random-cluster model with q<1, where FKG monotonicity fails, by developing enhanced stochastic comparisons and a Glauber-dynamics-based approach to bound FK measures between inhomogeneous percolations. It extends the subcritical and supercritical regimes beyond classical limits and provides a framework to prove strong uniqueness of infinite-volume measures in these extended regions, including planar-duality arguments to access the supercritical regime in 2D. A key outcome is a new bound on the critical point p_c(q) on broad graph classes and the demonstration of strong uniqueness under these extended subcritical and planar-duality regimes. The results hold in all dimensions d≥2 and apply to various infinite graphs, offering a versatile toolkit for analyzing phase transitions in q<1 FK-percolation and related Gibbs measures.
Abstract
We consider the random cluster model with parameter $q<1$, for which the FKG inequalities are not valid. On the square lattice, stochastic comparison with Bernoulli percolation implies that the model is subcritical (respectively supercritical) when $p \leq q/(1+q)$ (resp. $p \geq 1/2$); in this paper, we extend these two regions, by improving the classical stochastic comparisons. Assuming the existence of the critical point, this reduces its possible range. The proof relies on a modification of the usual Glauber dynamics of the model, which enables stochastic bounds of FK measures between two inhomegenous percolations. We also prove uniqueness of the infinite-volume measure in our extended ranges. Most of our results are valid in any dimension $d \geq 2$ and beyond hypercubic lattices.
