Rewriting History in Integrable Stochastic Particle Systems

TL;DR

This paper introduces new intertwining relations for integrable stochastic particle systems like TASEP and q-TASEP, using the Yang-Baxter equation, leading to novel differential equations and couplings that facilitate analysis of these models.

Contribution

It presents a novel approach based on the Yang-Baxter equation to derive intertwining relations and couplings for particle systems with permuted speed parameters, extending previous work.

Findings

Derived a new Lax-type differential equation for Markov transition semigroups.

Established couplings between particle systems with permuted speeds via rewriting history walks.

Constructed a new coupling for Poisson processes with different rates.

Abstract

Many integrable stochastic particle systems in one space dimension (such as TASEP - Totally Asymmetric Simple Exclusion Process - and its $q$-deformation, the $q$-TASEP) remain integrable if we equip each particle with its own speed parameter. In this work, we present intertwining relations between Markov transition operators of particle systems which differ by a permutation of the speed parameters. These relations generalize our previous works (arXiv:1907.09155, arXiv:1912.06067), but here we employ a novel approach based on the Yang-Baxter equation for the higher spin stochastic six vertex model. Our intertwiners are Markov transition operators, which leads to interesting probabilistic consequences. First, we obtain a new Lax-type differential equation for the Markov transition semigroups of homogeneous, continuous-time versions of our particle systems. Our Lax equation encodes the time evolution of multipoint observables of the $q$-TASEP and TASEP in a unified way, which may be of interest for the asymptotic analysis of multipoint observables of these systems. Second, we show that our intertwining relations lead to couplings between probability measures on trajectories of particle systems which differ by a permutation of the speed parameters. The conditional distribution for such a coupling is realized as a "rewriting history" random walk which randomly resamples the trajectory of a particle in a chamber determined by the trajectories of the neighboring particles. As a byproduct, we construct a new coupling for standard Poisson processes on the positive real half-line with different rates.