Upper tail large deviations of the directed landscape

Read full text
Authors: Sayan Das, Duncan Dauvergne, Bálint Virág
Cited by: 1
References: 56

Abstract

Starting from one-point tail bounds, we establish an upper tail large deviation principle for the directed landscape at the metric level. Surprisingly, at this higher level, the theory suggested by Jensen and Varadhan is significantly simplified. Metrics of finite rate are in one-to-one correspondence with measures supported on a set of countably many paths, and the rate function is given by a certain Kruzhkov entropy of these measures. As an application of our main result, we prove a large deviation principle for the directed geodesic.

Fields of Study & Subjects

Stochastic processes and statistical mechanics

Publication details

Journal / source
Duke Mathematical Journal
Publisher
Duke University Press
Volume
175
Issue
13
Pages
2425–2493
Publication date
15 September 2026
Language
EN