A note on last passage percolation and Schur processes
Evgeni Dimitrov, Zongrui Yang
TL;DR
The authors provide a concise, self-contained derivation of the distributional equivalence between geometric last passage percolation along general down-right paths and Schur processes in full-space, and Pfaffian Schur processes in half-space. Their approach hinges on generalized RSK correspondences via growth diagrams and Greene's theorem, enabling a Markovian dynamics of RSK-type that preserves Schur-process structure. The main results (Theorems T1 and T2) express the joint distributions along specified down-right paths in terms of Schur process measures with explicit normalizations and one-variable specializations. This work strengthens the bridge between LPP, symmetric function theory, and integrable probability, providing accessible, rigorous derivations under broad parameter regimes and path geometries. It also clarifies how RSK-type dynamics can reproduce determinantal and Pfaffian structures observed in full-space and half-space LPP models, respectively.
Abstract
In this note we provide a short proof of the distributional equality between last passage percolation with geometric weights along a general down-right path and Schur processes. We do this in both the full-space and half-space settings, and for general parameters. The main inputs for our arguments are generalizations of the Robinson-Schensted-Knuth correspondence and Greene's theorem due to Krattenthaler, which are based on Fomin's growth diagrams.
