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dc.contributor.authorBorodin, Alexei
dc.contributor.authorPetrov, Leonid
dc.date.accessioned2019-11-08T19:19:27Z
dc.date.available2019-11-08T19:19:27Z
dc.date.issued2018-01
dc.identifier.isbn9780198797319
dc.identifier.urihttps://hdl.handle.net/1721.1/122809
dc.description.abstractWe consider a homogeneous stochastic higher spin six-vertex model in a quadrant. For this model concise integral representations for multipoint q-moments of the height function and for the q-correlation functions are derived. At least in the case of the step initial condition, these formulas degenerate in appropriate limits to many known formulas of such type for integrable probabilistic systems in the (1+1)d KPZ universality class, including the stochastic six-vertex model, ASEP, various q-TASEPs, and associated zero-range processes. The arguments are largely based on properties of a family of symmetric rational functions that can be defined as partition functions of the higher spin six-vertex model for suitable domains; they generalize classical Hall–Littlewood and Schur polynomials. A key role is played by Cauchy-like summation identities for these functions, which are obtained as a direct corollary of the Yang–Baxter equation for the higher spin six-vertex model. Keywords: six-vertex model; ASEP; TASEP; Kardar–Parisi–Zhang equation; Yang–Baxter equation; integrable probabilityen_US
dc.language.isoen
dc.publisherOxford University Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1093/oso/9780198797319.003.0002en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleLectures on Integrable Probability: stochastic vertex models and symmetric functionsen_US
dc.title.alternativeIntegrable probability: stochastic vertex models and symmetric functionsen_US
dc.typeBook chapteren_US
dc.identifier.citationBorodin, Alexei and Leonid Petrov. "Integrable probability: stochastic vertex models and symmetric functions." Stochastic Processes and Random Matrices: Lecture Notes of the Les Houches Summer School: Volume 104, July 2015. Edited by Gregory Schehr, Alexander Altland, Yan V. Fyodorov, Neil O'Connell, and Leticia F. Cugliandolo. Oxford University Press, 2017en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.relation.journalStochastic Processes and Random Matrices: Lecture Notes of the Les Houches Summer School: Volume 104, July 2015en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/BookItemen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-11-08T13:28:12Z
dspace.date.submission2019-11-08T13:28:16Z


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