Large Deviation Principle for Last Passage Percolation Models
Pranay Agarwal
TL;DR
The paper develops a metric-level large deviation principle for last passage percolation models in the KPZ class, using hypo-convergence of upper semicontinuous functionals and a network-based rate function to go beyond exactly solvable cases. It introduces a preliminary rate $\Theta$ and upgrades to a true rate function $I$ via $e$-complete (planted) networks, proving both upper and lower bounds and establishing a geodesic LDP through a contraction principle and variational framework. The results provide a robust method to study large transversal fluctuations of geodesics and to quantify deviations of metric objects in LPP, with explicit extensions to Poisson LPP and directed polymers. The framework unifies and extends known solvable-case results, offering insights into the geometry of optimal paths and the universality of KPZ-type fluctuations in non-solvable settings.
Abstract
Study of the KPZ universality class has seen the emergence of universal objects over the past decade which arise as the scaling limit of the member models. One such object is the directed landscape, and it is known that exactly solvable last passage percolation (LPP) models converge to the directed landscape under the KPZ scaling (see \cite{DV21}). Large deviations of the directed landscape on the metric level were recently studied in \cite{DDV24}, which also provides a general framework for establishing such large deviation principle (LDP). The main goal of the article is to apply and refine that framework to establish a LDP for LPP models at the metric level without relying on exact solvability. We then use the LDP on the metric level to establish a LDP for geodesics in these models, thus providing a streamlined way to study large transversal fluctuations of geodesics in these models. We briefly touch on how the theory extends to other planar models like directed polymers and Poisson LPP.
