Local Statistics and Shuffling for Dimers on a Square-Hexagon Lattice
Matthew Nicoletti

TL;DR
This paper analyzes the local statistics of dimers on tower graphs derived from the square-hexagon lattice, confirming their convergence to translation-invariant Gibbs measures and connecting the model to the Anisotropic KPZ universality class.
Contribution
It proves the convergence of local statistics to Gibbs measures and introduces a growth process linked to the dimer model on tower graphs.
Findings
Local statistics converge to translation-invariant Gibbs measures.
The growth process's distribution matches the dimer model on tower graphs.
The model belongs to the Anisotropic KPZ universality class.
Abstract
We study the dimer model on special subgraphs of the square hexagon lattice called "tower graphs" of size . Using integrable probability techniques, we confirm that as , the local statistics are translation invariant Gibbs measures, as conjectured by Kenyon-Okounkov-Sheffield. We also present a 2+1-dimensional discrete time growth process, whose time distribution is exactly the dimer model on the size tower, and we compute the current of this growth process and confirm that the model belongs to the Anisotropic KPZ universality class.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Random Matrices and Applications
