Some Properties of the Plaquette Random-Cluster Model

We show that the <i>i</i>-dimensional plaquette random-cluster model with coefficients in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>Z</mml:mi> <mml:mi>q</mml:mi></mml:msub> </mml:math> is dual to a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>-</mml:mo> <mml:mi>i</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:math> -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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Publication Details

Journal
Mathematical Physics Analysis and Geometry
Published
2025-12-10
DOI
https://doi.org/10.1007/s11040-025-09543-x
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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article

Some Properties of the Plaquette Random-Cluster Model

Benjamin Schweinhart, Paul Duncan
Mathematical Physics Analysis and Geometry
Stochastic processes and statistical mechanics
article

Some Properties of the Plaquette Random-Cluster Model

Benjamin Schweinhart, Paul Duncan
article en

Abstract

We show that the <i>i</i>-dimensional plaquette random-cluster model with coefficients in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>Z</mml:mi> <mml:mi>q</mml:mi></mml:msub> </mml:math> is dual to a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>-</mml:mo> <mml:mi>i</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:math> -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.

Mathematical Physics Analysis and GeometryVol. 29(1)
George Mason University (US), Indiana University Bloomington (US)
Openalex Percentile: Top 56%
Stochastic processes and statistical mechanics
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