English

Upper tail bounds for stationary KPZ models

Probability 2023-03-01 v2

Abstract

We present a proof of an upper tail bound of the correct order (up to a constant factor in the exponent) in two classes of stationary models in the KPZ universality class. The proof is based on an exponential identity due to Rains in the case of Last Passage Percolation with exponential weights, and recently re-derived by Emrah-Jianjigian-Sepp\"ail\"ainen (EJS). Our proof follows very similar lines for the two classes of models we consider, using only general monotonocity and convexity properties, and can thus be expected to apply to many other stationary models.

Keywords

Cite

@article{arxiv.2208.01507,
  title  = {Upper tail bounds for stationary KPZ models},
  author = {Benjamin Landon and Philippe Sosoe},
  journal= {arXiv preprint arXiv:2208.01507},
  year   = {2023}
}

Comments

Minor changes to introduction and some remarks. 25 pages

R2 v1 2026-06-25T01:25:00.574Z