Gibbs measures for a Hard-Core model with a countable set of states
Abstract
In this paper, we focus on studying non-probability Gibbs measures for a Hard Core (HC) model on a Cayley tree of order , where the set of integers is the set of spin values. It is well-known that each Gibbs measure, whether it be a gradient or non-probability measure, of this model corresponds to a boundary law. A boundary law can be thought of as an infinite-dimensional vector function defined at the vertices of the Cayley tree, which satisfies a nonlinear functional equation. Furthermore, every normalisable boundary law corresponds to a Gibbs measure. However, a non-normalisable boundary law can define gradient or non-probability Gibbs measures. In this paper, we investigate the conditions for uniqueness and non-uniqueness of translation-invariant and periodic non-probability Gibbs measures for the HC-model on a Cayley tree of any order .
Keywords
Cite
@article{arxiv.2307.03432,
title = {Gibbs measures for a Hard-Core model with a countable set of states},
author = {U. Rozikov and R. Khakimov and M. T. Makhammadaliev},
journal= {arXiv preprint arXiv:2307.03432},
year = {2023}
}
Comments
19 pages, 2 figures