Some Properties of the Plaquette Random-Cluster Model
Paul Duncan, Benjamin Schweinhart

TL;DR
This paper investigates the duality and boundary properties of the plaquette random-cluster model across different dimensions, providing new algebraic topology-based proofs for known results.
Contribution
It introduces algebraic topology techniques to analyze duality, boundary conditions, and limits in the plaquette random-cluster model, extending existing theoretical understanding.
Findings
Duality between i-dimensional and (d-i)-dimensional models established
Boundary conditions and infinite volume limits characterized
New algebraic topology proofs for existing results provided
Abstract
We show that the -dimensional plaqutte random-cluster model with coefficients in is dual to a -dimensional plaquette random cluster model. In addition, we explore boundary conditions, infinite volume limits, and uniqueness for these models. For previously known results, we provide new proofs that rely more on the tools of algebraic topology.
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Taxonomy
TopicsAdvanced Clustering Algorithms Research · Bayesian Methods and Mixture Models · Data Management and Algorithms
