Topological Phases in the Plaquette Random-Cluster Model and Potts Lattice Gauge Theory
Paul Duncan, Benjamin Schweinhart

TL;DR
This paper establishes a rigorous connection between topological phases in plaquette random-cluster models and Potts lattice gauge theories, demonstrating phase transitions and the behavior of Wilson loop variables in high-dimensional systems.
Contribution
It provides the first rigorous proof linking Wilson loop variables to homological properties in plaquette models and characterizes phase transitions at the self-dual point.
Findings
Exact relationship between Wilson loops and homology events.
Sharp phase transition at the self-dual point in high dimensions.
Homological percolation change in the model's behavior.
Abstract
The -dimensional plaquette random-cluster model on a finite cubical complex is the random complex of -plaquettes with each configuration having probability proportional to p^{\text{# of plaquettes}}(1-p)^{\text{# of complementary plaquettes}}q^{\mathbf{ b}_{i-1}}, where is a real parameter and denotes the rank of the -homology group with coefficients in a specified coefficient field. When is prime and the coefficient field is , this model is coupled with the -dimensional -state Potts lattice gauge theory. We prove that the probability that an -cycle in is null-homologous in the plaquette random-cluster model equals the expectation of the corresponding generalized Wilson loop variable. This provides the first rigorous justification for a claim of Aizenman, Chayes, Chayes, Fr\"olich, and Russo…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Topological and Geometric Data Analysis
