English

Infinite Volume Continuum Random Cluster Model

Probability 2015-11-20 v2

Abstract

The continuum random cluster model is defined as a Gibbs modification of the stationary Boolean model in Rd\mathbb{R}^d with intensity z>0z>0 and the law of radii QQ. The formal unormalized density is given by qNccq^{N_{cc}} where q>0q>0 is a fixed parameter and NccN_{cc} the number of connected components in the random germ-grain structure. In this paper we prove the existence of the model in the infinite volume regime for a large class of parameters including the case q<1q<1 or distributions QQ without compact support. In the extreme setting of non integrable radii (i.e. RdQ(dR)=\int R^d Q(dR)=\infty) and qq is an integer larger than 1, we prove that for zz small enough the continuum random cluster model is not unique; two different probability measures solve the DLR equations. We conjecture that the uniqueness is recovered for zz large enough which would provide a phase transition result. Heuristic arguments are given. Our main tools are the compactness of level sets of the specific entropy, a fine study of the quasi locality of the Gibbs kernels and a Fortuin-Kasteleyn representation via Widom-Rowlinson models with random radii.

Keywords

Cite

@article{arxiv.1507.02891,
  title  = {Infinite Volume Continuum Random Cluster Model},
  author = {David Dereudre and Pierre Houdebert},
  journal= {arXiv preprint arXiv:1507.02891},
  year   = {2015}
}
R2 v1 2026-06-22T10:09:33.964Z