Boundary statistics for the six‐vertex model with DWBC

Abstract We study the behavior of configurations in the symmetric six‐vertex model with weights in the square with Domain Wall Boundary Conditions as . We prove that when , configurations near the boundary have fluctuations of order and are asymptotically described by the GUE‐corners process of random matrix theory. On the other hand, when , the fluctuations are of finite order and configurations are asymptotically described by the stochastic six‐vertex model in a quadrant. In the special case (which implies ), the limit is expressed as the ‐exchangeable random permutation of infinitely many letters, distributed according to the infinite Mallows measure.

Authors

Institutions

Publication Details

Journal
Communications on Pure and Applied Mathematics
Published
2025-04-24
DOI
https://doi.org/10.1002/cpa.22254
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Boundary statistics for the six‐vertex model with DWBC

Vadim Gorin, Karl Liechty
Communications on Pure and Applied Mathematics
Random Matrices and Applications
article

Boundary statistics for the six‐vertex model with DWBC

Vadim Gorin, Karl Liechty
article en

Abstract

Abstract We study the behavior of configurations in the symmetric six‐vertex model with weights in the square with Domain Wall Boundary Conditions as . We prove that when , configurations near the boundary have fluctuations of order and are asymptotically described by the GUE‐corners process of random matrix theory. On the other hand, when , the fluctuations are of finite order and configurations are asymptotically described by the stochastic six‐vertex model in a quadrant. In the special case (which implies ), the limit is expressed as the ‐exchangeable random permutation of infinitely many letters, distributed according to the infinite Mallows measure.

Communications on Pure and Applied MathematicsVol. 78(10)
DePaul University (US), University of California, Berkeley (US)
National Science Foundation, DePaul University, College of Science and Health
Openalex Percentile: Top 91%
Random Matrices and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.