Planar Graphical Models which are Easy
Statistical Mechanics
2015-05-13 v5 Disordered Systems and Neural Networks
Computational Complexity
Information Theory
Mathematical Physics
math.IT
math.MP
Abstract
We describe a rich family of binary variables statistical mechanics models on a given planar graph which are equivalent to Gaussian Grassmann Graphical models (free fermions) defined on the same graph. Calculation of the partition function (weighted counting) for such a model is easy (of polynomial complexity) as reducible to evaluation of a Pfaffian of a matrix of size equal to twice the number of edges in the graph. In particular, this approach touches upon Holographic Algorithms of Valiant and utilizes the Gauge Transformations discussed in our previous works.
Keywords
Cite
@article{arxiv.0902.0320,
title = {Planar Graphical Models which are Easy},
author = {Vladimir Y. Chernyak and Michael Chertkov},
journal= {arXiv preprint arXiv:0902.0320},
year = {2015}
}
Comments
27 pages, 11 figures; misprints corrected