Limit Shapes and Local Statistics for the Stochastic Six-Vertex Model
arXiv:1902.10867 · doi:10.1007/s00220-019-03643-w
Abstract
In this paper we consider the stochastic six-vertex model on a cylinder with arbitrary initial data. First, we show that it exhibits a limit shape in the thermodynamic limit, whose density profile is given by the entropy solution to an explicit, non-linear conservation law that was predicted by Gwa-Spohn in 1992 and by Reshetikhin-Sridhar in 2018. Then, we show that the local statistics of this model around any continuity point of its limit shape are given by an infinite-volume, translation-invariant Gibbs measure of the appropriate slope.
arXiv comment60 pages, 3 figures; Version 2: Minor revisions
References in corpus (17)
- A variational principle for domino tilings
- Local statistics of lattice dimers
- Local statistics for random domino tilings of the Aztec diamond
- Stochastic six-vertex model
- Stochastic higher spin vertex models on the line
- KPZ equation limit of higher-spin exclusion processes
- Current Fluctuations of the Stationary ASEP and Six-Vertex Model
- Stochastic six-vertex model in a half-quadrant and half-line open ASEP
- Stochastic matrix for
- Asymptotic domino statistics in the Aztec diamond
- Crossover Scaling Functions in One Dimensional Dynamic Growth Models
- The Conical Point in the Ferroelectric Six-Vertex Model
- An algebraic construction of duality functions for the stochastic U_q(A_n^{(1)}) vertex model and its degenerations
- Transversal fluctuations of the ASEP, stochastic six vertex model, and Hall-Littlewood Gibbsian line ensembles
- Bulk universality for random lozenge tilings near straight boundaries and for tensor products
- Stochasticization of Solutions to the Yang-Baxter Equation
- Local limits of lozenge tilings are stable under bounded boundary height perturbations
Cited by in corpus (5)
- Nonexistence and Uniqueness for Pure States of Ferroelectric Six-Vertex Models
- Arctic curves of the V model with partial DWBC and double Aztec rectangles
- Tail estimates for the stationary stochastic six vertex model and ASEP
- Stationary measure for six-vertex model on a strip
- The stochastic six-vertex model speed process