Six-Vertex Model and Random Matrix Distributions

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Hauptverfasser: Gorin, Vadim, Nicoletti, Matthew
Format: Preprint
Veröffentlicht: 2023
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_version_ 1866913307928035328
author Gorin, Vadim
Nicoletti, Matthew
author_facet Gorin, Vadim
Nicoletti, Matthew
contents We survey the connections between the six-vertex (square ice) model of 2d statistical mechanics and random matrix theory. We highlight the same universal probability distributions appearing on both sides, and also indicate related open questions and conjectures. We present full proofs of two asymptotic theorems for the six-vertex model: in the first one the Gaussian Unitary Ensemble and GUE-corners process appear; the second one leads to the Tracy-Widom distribution $F_2$. While both results are not new, we found shorter transparent proofs for this text. On our way we introduce the key tools in the study of the six-vertex model, including the Yang-Baxter equation and the Izergin-Korepin formula.
format Preprint
id arxiv_https___arxiv_org_abs_2309_12495
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Six-Vertex Model and Random Matrix Distributions
Gorin, Vadim
Nicoletti, Matthew
Mathematical Physics
Combinatorics
Probability
82B23
We survey the connections between the six-vertex (square ice) model of 2d statistical mechanics and random matrix theory. We highlight the same universal probability distributions appearing on both sides, and also indicate related open questions and conjectures. We present full proofs of two asymptotic theorems for the six-vertex model: in the first one the Gaussian Unitary Ensemble and GUE-corners process appear; the second one leads to the Tracy-Widom distribution $F_2$. While both results are not new, we found shorter transparent proofs for this text. On our way we introduce the key tools in the study of the six-vertex model, including the Yang-Baxter equation and the Izergin-Korepin formula.
title Six-Vertex Model and Random Matrix Distributions
topic Mathematical Physics
Combinatorics
Probability
82B23
url https://arxiv.org/abs/2309.12495