Pinning in non-critical half-space geometric last passage percolation
Sayan Das, Evgeni Dimitrov, Zongrui Yang

TL;DR
This paper analyzes the universal scaling limits of line ensembles in half-space geometric last passage percolation near the diagonal boundary, revealing phase-dependent convergence to the pinned half-space Airy line ensemble or Brownian motion.
Contribution
It establishes the convergence of the line ensemble to the pinned half-space Airy line ensemble in subcritical and supercritical regimes, completing the asymptotic analysis of the model.
Findings
In subcritical phase, the line ensemble converges to the pinned half-space Airy line ensemble.
In supercritical phase, the lower lines converge to the same Airy limit, while the top line becomes Brownian motion.
Provides a rigorous example of the pinned half-space Airy line ensemble as a universal limit.
Abstract
We study a symmetrized (half-space) version of geometric last passage percolation with a boundary parameter that interpolates between subcritical, critical, and supercritical behavior. This model gives rise to a family of interlacing random curves, or a line ensemble, which encode both the usual last passage time and its higher-rank analogues. Although these ensembles are understood in most space-time regions, their behavior near the diagonal -- where the boundary effects are strongest -- has remained unclear outside the critical regime. We determine the universal scaling limits of the line ensemble in this near-diagonal region for both subcritical () and supercritical () phases. In the subcritical case, after appropriate centering and scaling, the entire line ensemble converges to the pinned half-space Airy line ensemble, a universal Brownian Gibbsian object recently…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Theoretical and Computational Physics
