{ "id": "1003.3722", "version": "v1", "published": "2010-03-19T06:32:45.000Z", "updated": "2010-03-19T06:32:45.000Z", "title": "Stochastic domination for the Ising and fuzzy Potts models", "authors": [ "Marcus Warfheimer" ], "comment": "22 pages, 5 figures", "journal": "Electronic Journal of Probability 2010, 1802-1824", "categories": [ "math.PR" ], "abstract": "We discuss various aspects concerning stochastic domination for the Ising model and the fuzzy Potts model. We begin by considering the Ising model on the homogeneous tree of degree $d$, $\\Td$. For given interaction parameters $J_1$, $J_2>0$ and external field $h_1\\in\\RR$, we compute the smallest external field $\\tilde{h}$ such that the plus measure with parameters $J_2$ and $h$ dominates the plus measure with parameters $J_1$ and $h_1$ for all $h\\geq\\tilde{h}$. Moreover, we discuss continuity of $\\tilde{h}$ with respect to the three parameters $J_1$, $J_2$, $h$ and also how the plus measures are stochastically ordered in the interaction parameter for a fixed external field. Next, we consider the fuzzy Potts model and prove that on $\\Zd$ the fuzzy Potts measures dominate the same set of product measures while on $\\Td$, for certain parameter values, the free and minus fuzzy Potts measures dominate different product measures. For the Ising model, Liggett and Steif proved that on $\\Zd$ the plus measures dominate the same set of product measures while on $\\T^2$ that statement fails completely except when there is a unique phase.", "revisions": [ { "version": "v1", "updated": "2010-03-19T06:32:45.000Z" } ], "analyses": { "subjects": [ "60K35" ], "keywords": [ "fuzzy potts model", "stochastic domination", "plus measure", "external field", "product measures" ], "tags": [ "journal article" ], "note": { "typesetting": "TeX", "pages": 22, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2010arXiv1003.3722W" } } }