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Title: Mapping TASEP back in time
Abstract

We obtain a new relation between the distributions$$\upmu _t$$μtat different times$$t\ge 0$$t0of the continuous-time totally asymmetric simple exclusion process (TASEP) started from the step initial configuration. Namely, we present a continuous-time Markov process with local interactions and particle-dependent rates which maps the TASEP distributions$$\upmu _t$$μtbackwards in time. Under the backwards process, particles jump to the left, and the dynamics can be viewed as a version of the discrete-space Hammersley process. Combined with the forward TASEP evolution, this leads to a stationary Markov dynamics preserving$$\upmu _t$$μtwhich in turn brings new identities for expectations with respect to$$\upmu _t$$μt. The construction of the backwards dynamics is based on Markov maps interchanging parameters of Schur processes, and is motivated by bijectivizations of the Yang–Baxter equation. We also present a number of corollaries, extensions, and open questions arising from our constructions.

 
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Award ID(s):
1664617
NSF-PAR ID:
10273909
Author(s) / Creator(s):
;
Publisher / Repository:
Springer Science + Business Media
Date Published:
Journal Name:
Probability Theory and Related Fields
Volume:
182
Issue:
1-2
ISSN:
0178-8051
Format(s):
Medium: X Size: p. 481-530
Size(s):
p. 481-530
Sponsoring Org:
National Science Foundation
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