Wiener densities for the Airy line ensemble

Abstract The parabolic Airy line ensemble is a central limit object in the KPZ (Kardar–Parisi–Zhang) universality class and related areas. On any compact set , the law of the recentered ensemble has a density with respect to the law of independent Brownian motions. We show where is an explicit, tractable, non‐negative function of . We use this formula to show that is bounded above by a ‐dependent constant, give a sharp estimate on the size of the set where as , and prove a large deviation principle for . We also give density estimates that take into account the relative positions of the Airy lines, and prove sharp two‐point tail bounds that are stronger than those for Brownian motion. These estimates are a key input in the classification of geodesic networks in the directed landscape. The paper is essentially self‐contained, requiring only tail bounds on the Airy point process and the Brownian Gibbs property as inputs.

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Publication Details

Journal
Proceedings of the London Mathematical Society
Published
2024-09-18
DOI
https://doi.org/10.1112/plms.12638
Citations
2
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
1.42
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article

Wiener densities for the Airy line ensemble

Duncan Dauvergne
2 citations
Proceedings of the London Mathematical Society
Random Matrices and Applications
1.42
article

Wiener densities for the Airy line ensemble

Duncan Dauvergne
article en
2 citations

Abstract

Abstract The parabolic Airy line ensemble is a central limit object in the KPZ (Kardar–Parisi–Zhang) universality class and related areas. On any compact set , the law of the recentered ensemble has a density with respect to the law of independent Brownian motions. We show where is an explicit, tractable, non‐negative function of . We use this formula to show that is bounded above by a ‐dependent constant, give a sharp estimate on the size of the set where as , and prove a large deviation principle for . We also give density estimates that take into account the relative positions of the Airy lines, and prove sharp two‐point tail bounds that are stronger than those for Brownian motion. These estimates are a key input in the classification of geodesic networks in the directed landscape. The paper is essentially self‐contained, requiring only tail bounds on the Airy point process and the Brownian Gibbs property as inputs.

Proceedings of the London Mathematical SocietyVol. 129(4)
University of Toronto (CA)
Openalex Percentile: Top 17%
Random Matrices and Applications
1.42
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