KPZ fixed point convergence of the ASEP and stochastic six-vertex models

Fuente: arXiv
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Main Authors: Aggarwal, Amol, Corwin, Ivan, Hegde, Milind
Format: Preprint
Published: 2024
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author Aggarwal, Amol
Corwin, Ivan
Hegde, Milind
author_facet Aggarwal, Amol
Corwin, Ivan
Hegde, Milind
contents We consider the stochastic six-vertex (S6V) model and asymmetric simple exclusion process (ASEP) under general initial conditions which are bounded below lines of arbitrary slope at $\pm\infty$. We show under Kardar-Parisi-Zhang (KPZ) scaling of time, space, and fluctuations that the height functions of these models converge to the KPZ fixed point. Previously, our results were known in the case of ASEP (for a particular direction in the rarefaction fan) via a comparison approach arXiv:2008.06584.
format Preprint
id arxiv_https___arxiv_org_abs_2412_18117
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle KPZ fixed point convergence of the ASEP and stochastic six-vertex models
Aggarwal, Amol
Corwin, Ivan
Hegde, Milind
Probability
Mathematical Physics
We consider the stochastic six-vertex (S6V) model and asymmetric simple exclusion process (ASEP) under general initial conditions which are bounded below lines of arbitrary slope at $\pm\infty$. We show under Kardar-Parisi-Zhang (KPZ) scaling of time, space, and fluctuations that the height functions of these models converge to the KPZ fixed point. Previously, our results were known in the case of ASEP (for a particular direction in the rarefaction fan) via a comparison approach arXiv:2008.06584.
title KPZ fixed point convergence of the ASEP and stochastic six-vertex models
topic Probability
Mathematical Physics
url https://arxiv.org/abs/2412.18117