The directed landscape in half-space

Fuente: arXiv
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Main Authors: Dauvergne, Duncan, Zhang, Lingfu
Format: Preprint
Published: 2026
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author Dauvergne, Duncan
Zhang, Lingfu
author_facet Dauvergne, Duncan
Zhang, Lingfu
contents We prove that two half-space models in the KPZ universality class, exponential last-passage percolation and a family of Poisson-avoiding metrics generalizing colored TASEP, converge to a common scaling limit. This scaling limit is the directed landscape in half-space, a random directed metric in the half-plane indexed by a parameter which determines the strength of the boundary interaction. As part of our analysis, we characterize the half-space directed landscape in terms of the half-space KPZ fixed point, and prove convergence of geodesics. We also give an explicit construction of joint stationary measures (or horizons) in half-space for the log-gamma polymer, the KPZ equation, exponential and geometric last passage percolation, and the directed landscape itself.
format Preprint
id arxiv_https___arxiv_org_abs_2604_10020
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The directed landscape in half-space
Dauvergne, Duncan
Zhang, Lingfu
Probability
Mathematical Physics
We prove that two half-space models in the KPZ universality class, exponential last-passage percolation and a family of Poisson-avoiding metrics generalizing colored TASEP, converge to a common scaling limit. This scaling limit is the directed landscape in half-space, a random directed metric in the half-plane indexed by a parameter which determines the strength of the boundary interaction. As part of our analysis, we characterize the half-space directed landscape in terms of the half-space KPZ fixed point, and prove convergence of geodesics. We also give an explicit construction of joint stationary measures (or horizons) in half-space for the log-gamma polymer, the KPZ equation, exponential and geometric last passage percolation, and the directed landscape itself.
title The directed landscape in half-space
topic Probability
Mathematical Physics
url https://arxiv.org/abs/2604.10020