Gibbsianness and non-Gibbsianness in divide and color models
Abstract
For parameters and such that the Fortuin--Kasteleyn (FK) random-cluster measure for with parameters and is unique, the -divide and color [] model on is defined as follows. First, we draw a bond configuration with distribution . 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 in such a way that spin has probability . In this paper, we prove that the resulting measure on spin configurations is a Gibbs measure for small values of and is not a Gibbs measure for large , except in the special case of , , when the model coincides with the -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)