TASEP and generalizations: method for exact solution
Author
dc.contributor.author
Matetski, Konstantin
Author
dc.contributor.author
Remenik Zisis, Daniel Ilan
Admission date
dc.date.accessioned
2022-06-17T17:20:31Z
Available date
dc.date.available
2022-06-17T17:20:31Z
Publication date
dc.date.issued
2022
Cita de ítem
dc.identifier.citation
Probability Theory and Related Fields Early Access Apr 2022 Indexed 2022-05-09
es_ES
Identifier
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10.1007/s00440-022-01129-w
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/186134
Abstract
dc.description.abstract
The explicit biorthogonalization method, developed in [24] for continuous time TASEP, is generalized to a broad class of determinantal measures which describe the evolution of several interacting particle systems in the KPZ universality class. The method is applied to sequential and parallel update versions of each of the four variants of discrete time TASEP (with Bernoulli and geometric jumps, and with block and push dynamics) which have determinantal transition probabilities; to continuous time PushASEP; and to a version of TASEP with generalized update. In all cases, multipoint distribution functions are expressed in terms of a Fredholm determinant with an explicit kernel involving hitting times of certain random walks to a curve defined by the initial data of the system. The method is further applied to systems of interacting caterpillars, an extension of the discrete time TASEP models which generalizes sequential and parallel updates.
es_ES
Patrocinador
dc.description.sponsorship
National Science Foundation (NSF) DMS-1953859
Centro de Modelamiento Matematico (CMM) Basal Funds from ANID-Chile FB210005
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT FONDECYT 1201914
Programa Iniciativa Cientifica Milenio through Nucleus Millennium Stochastic Models of Complex and Disordered Systems NC120062
es_ES
Lenguage
dc.language.iso
en
es_ES
Publisher
dc.publisher
Springer
es_ES
Type of license
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 United States