English

Gibbsianness and non-Gibbsianness in divide and color models

Probability 2010-10-20 v4 Mathematical Physics math.MP

Abstract

For parameters p[0,1]p\in[0,1] and q>0q>0 such that the Fortuin--Kasteleyn (FK) random-cluster measure Φp,qZd\Phi_{p,q}^{\mathbb{Z}^d} for Zd\mathbb{Z}^d with parameters pp and qq is unique, the qq-divide and color [DaC(q)\operatorname {DaC}(q)] model on Zd\mathbb{Z}^d is defined as follows. First, we draw a bond configuration with distribution Φp,qZd\Phi_{p,q}^{\mathbb{Z}^d}. Then, to each (FK) cluster (i.e., to every vertex in the FK cluster), independently for different FK clusters, we assign a spin value from the set {1,2,.˙.,s}\{1,2,\...,s\} in such a way that spin ii has probability aia_i. In this paper, we prove that the resulting measure on spin configurations is a Gibbs measure for small values of pp and is not a Gibbs measure for large pp, except in the special case of q{2,3,.˙.}q\in \{2,3,\...\}, a1=a2=.˙.=as=1/qa_1=a_2=\...=a_s=1/q, when the DaC(q)\operatorname {DaC}(q) model coincides with the qq-state Potts model.

Keywords

Cite

@article{arxiv.0812.2399,
  title  = {Gibbsianness and non-Gibbsianness in divide and color models},
  author = {András Bálint},
  journal= {arXiv preprint arXiv:0812.2399},
  year   = {2010}
}

Comments

Published in at http://dx.doi.org/10.1214/09-AOP518 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)