The half-space Airy stat process
Dan Betea, Patrik Ferrari, Alessandra Occelli

TL;DR
This paper investigates the multipoint distribution in stationary half-space last passage percolation with exponential weights, introducing the novel half-space Airy stat process as a generalization of the Airy stat, extending previous one-point results.
Contribution
The paper derives finite-size and asymptotic multipoint distribution results and introduces the half-space Airy stat process, a new one-parameter generalization of the Airy stat process.
Findings
Introduction of the half-space Airy stat process as a new universal limit.
Extension of one-point distribution results to multipoint cases.
Identification of the process as a generalization of the Airy stat far from the diagonal.
Abstract
We study the multipoint distribution of stationary half-space last passage percolation with exponentially weighted times. We derive both finite-size and asymptotic results for this distribution. In the latter case we observe a new one-parameter process we call half-space Airy stat. It is a one-parameter generalization of the Airy stat process of Baik-Ferrari-P\'ech\'e, which is recovered far away from the diagonal. All these results extend the one-point results previously proven by the authors.
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Bayesian Methods and Mixture Models
