The oriented swap process on half line
Yuan Tian
TL;DR
The paper extends the oriented swap process from finite systems to the half-line and analyzes its asymptotic behavior using a synthesis of Harris graphical constructions, Hecke algebra symmetry, and projections to multi-species TASEP. It establishes that $\pi_t^{-1}(1)$ behaves like a Poisson variable with large-time fluctuations that are Gaussian, and derives limiting trajectories for scaled positions with a random initial speed, yielding a unified description of both average and fluctuation scales. Moreover, the work shows that the first $l$ particle fluctuations converge to the GUE corners process, and, at the process level, describes the jump structure of $\pi_t^{-1}$, including the asymptotics of jump counts, jump heights, and the folded-normal scaling of inter-jump times. These results connect infinite random sorting networks to KPZ-type universality via algebraic and probabilistic couplings, broadening the understanding of multi-species interacting particle systems on the half-line.
Abstract
In this paper we study the oriented swap process on the positive integers and its asymptotic properties. Our results extend a theorem by Angel, Holroyd, and Romik regarding the trajectories of particles in the finite oriented swap process. Furthermore, we study the evolution of the type of a particle at the leftmost position over time. Our approach relies on a relationship between multi-species particle systems and Hecke algebras, complemented by a detailed asymptotic analysis.
