Independence property of the Busemann function in exactly solvable KPZ models

The study of Kadar–Parsi–Zhang (KPZ) universality class has been a subject of great interest among mathematicians and physicists over the past three decades. A notably successful approach for analyzing KPZ models is the coupling method, which hinges on understanding random growth from stationary initial conditions defined by Busemann functions. To advance in this direction, we investigate the independence property of the Busemann function across multiple directions in various exactly solvable KPZ models. These models encompass the corner growth model, the inverse-gamma polymer, Brownian last-passage percolation, the O’Connell–Yor polymer, the KPZ equation, and the directed landscape. In the context of the corner growth model, our result states that disjoint Busemann increments in different directions along a down-right path are independent, as long as their associated semi-infinite geodesics have nonempty intersections almost surely. The proof for the independence utilizes the queueing representation of the Busemann process developed by Seppäläinen et al. As an application, our independence result yields a near-optimal probability upper bound (missing by a logarithmic factor) for the rare event where the endpoint of a point-to-line inverse-gamma polymer is close to the diagonal.

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Publication Details

Journal
The Annals of Applied Probability
Published
2025-02-01
DOI
https://doi.org/10.1214/24-aap2118
Primary Topic
Random Matrices and Applications
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article
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article

Independence property of the Busemann function in exactly solvable KPZ models

Xiao Shen
The Annals of Applied Probability
Random Matrices and Applications
article

Independence property of the Busemann function in exactly solvable KPZ models

Xiao Shen
article en

Abstract

The study of Kadar–Parsi–Zhang (KPZ) universality class has been a subject of great interest among mathematicians and physicists over the past three decades. A notably successful approach for analyzing KPZ models is the coupling method, which hinges on understanding random growth from stationary initial conditions defined by Busemann functions. To advance in this direction, we investigate the independence property of the Busemann function across multiple directions in various exactly solvable KPZ models. These models encompass the corner growth model, the inverse-gamma polymer, Brownian last-passage percolation, the O’Connell–Yor polymer, the KPZ equation, and the directed landscape. In the context of the corner growth model, our result states that disjoint Busemann increments in different directions along a down-right path are independent, as long as their associated semi-infinite geodesics have nonempty intersections almost surely. The proof for the independence utilizes the queueing representation of the Busemann process developed by Seppäläinen et al. As an application, our independence result yields a near-optimal probability upper bound (missing by a logarithmic factor) for the rare event where the endpoint of a point-to-line inverse-gamma polymer is close to the diagonal.

The Annals of Applied ProbabilityVol. 35(1)
University of Utah (US)
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Random Matrices and Applications
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Independence property of the Busemann function in exactly solvable KPZ models — Xiao Shen · The Annals of Applied Probability (2025) | TGRS Research Map | TGRS