Strong Spatial Mixing for Binary Markov Random Fields
Information Theory
2009-12-01 v1 Discrete Mathematics
math.IT
Abstract
Gibbs distribution of binary Markov random fields on a sparse on average graph is considered in this paper. The strong spatial mixing is proved under the condition that the `external field' is uniformly large or small. Such condition on `external field' is meaningful in physics.
Cite
@article{arxiv.0911.5487,
title = {Strong Spatial Mixing for Binary Markov Random Fields},
author = {Jinshan Zhang and Heng Liang and Fengshan Bai},
journal= {arXiv preprint arXiv:0911.5487},
year = {2009}
}
Comments
13pages