pith. sign in

arxiv: 0902.0320 · v5 · pith:ZPTIZTZJnew · submitted 2009-02-02 · ❄️ cond-mat.stat-mech · cond-mat.dis-nn· cs.CC· cs.IT· math-ph· math.IT· math.MP

Planar Graphical Models which are Easy

classification ❄️ cond-mat.stat-mech cond-mat.dis-nncs.CCcs.ITmath-phmath.ITmath.MP
keywords graphmodelseasygraphicalplanaralgorithmsapproachbinary
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.