dc.creatorMatetski, Konstantin
dc.creatorRemenik Zisis, Daniel Ilan
dc.date.accessioned2022-06-17T17:20:31Z
dc.date.accessioned2022-10-17T17:29:58Z
dc.date.available2022-06-17T17:20:31Z
dc.date.available2022-10-17T17:29:58Z
dc.date.created2022-06-17T17:20:31Z
dc.date.issued2022
dc.identifierProbability Theory and Related Fields Early Access Apr 2022 Indexed 2022-05-09
dc.identifier10.1007/s00440-022-01129-w
dc.identifierhttps://repositorio.uchile.cl/handle/2250/186134
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4422136
dc.description.abstractThe 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.
dc.languageen
dc.publisherSpringer
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States
dc.sourceProbability Theory and Related Fields
dc.subjectLarge time asymptotics
dc.subjectPolynuclear growth
dc.subjectFluctuations
dc.subjectEnsembles
dc.subjectDynamics
dc.subjectEquation
dc.subjectTilings
dc.subjectModels
dc.titleTASEP and generalizations: method for exact solution
dc.typeArtículos de revistas


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