Mapping TASEP back in time
成果类型:
Article
署名作者:
Petrov, Leonid; Saenz, Axel
署名单位:
Kharkevich Institute for Information Transmission Problems of the RAS; University of Virginia; University of Warwick
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-021-01074-0
发表日期:
2022
页码:
481-530
关键词:
gelfand-tsetlin graph
infinite-dimensional diffusions
random-walks
particle process
growth-models
DYNAMICS
limit
probability
asymptotics
BOUNDARY
摘要:
We obtain a new relation between the distributions mu(t) at different times t >= 0 of 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 mu(t) backwards 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 mu(t) which in turn brings new identities for expectations with respect to mu(t). 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.