
TL;DR
This paper derives explicit multi-point distribution formulas for TASEP in a half-space with general initial conditions and connects these results to the half-space KPZ fixed point through scaling limits.
Contribution
It provides the first explicit multi-point distribution formula for TASEP in a half-space and links it to the universal half-space KPZ fixed point.
Findings
Explicit multi-point distribution formula for TASEP in half-space.
Derivation of the half-space KPZ fixed point distribution via scaling.
Demonstration of the universality of the half-space KPZ process.
Abstract
In this work, we present the multi-point probability distribution of the totally asymmetric simple exclusion process (TASEP) in a half-space, starting from a general deterministic initial condition. More precisely, let denote the height function of TASEP at position and time ; we provide an explicit formula for \begin{equation*} \mathbb{P}(h(t,y_1)\leq s_1, \ldots, h(t,y_m)\leq s_m). \end{equation*} The formula presented is well-suited for the scaling limit analysis. By applying a 1:2:3 scaling, we derive the probability distribution for the half-space KPZ fixed point, which is conjectured to be the universal process for the limit of the KPZ universality models restricted to a half-space.
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 · Probability and Risk Models
