A quantitative Burton.Keane estimate under strong FKG condition

Citation
Duminil-copin, Hugo et al., A quantitative Burton.Keane estimate under strong FKG condition, Annals of probability (Online) , 44(5), 2016, pp. 3335-3356
ISSN journal
2168894X
Volume
44
Issue
5
Year of publication
2016
Pages
3335 - 3356
Database
ACNP
SICI code
Abstract
We consider translationally-invariant percolation models on Zd satisfying the finite energy and the FKG properties. We provide explicit upper bounds on the probability of having two distinct clusters going from the endpoints of an edge to distance n (this corresponds to a finite size version of the celebrated Burton.Keane [Comm. Math. Phys. 121 (1989) 501.505] argument proving uniqueness of the infinite-cluster). The proof is based on the generalization of a reverse Poincaré inequality proved in Chatterjee and Sen (2013). As a consequence, we obtain upper bounds on the probability of the so-called four-arm event for planar random-cluster models with cluster-weight q.1.