Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/24264

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dc.contributor.authorGonçalves, Patrícia-
dc.contributor.authorJara, Milton-
dc.contributor.authorSethuraman, Sunder-
dc.date.accessioned2013-05-30T10:50:16Z-
dc.date.available2013-05-30T10:50:16Z-
dc.date.issued2015-
dc.date.submitted2012-09-30-
dc.identifier.citationGonçalves, P., Jara, M., & Sethuraman, S. (2015). A stochastic burgers equation from a class of microscopic interactions. Annals of Probability, 43(1), 286-338. doi: 10.1214/13-aop878-
dc.identifier.issn0091-1798por
dc.identifier.urihttps://hdl.handle.net/1822/24264-
dc.description.abstractWe consider a class of nearest-neighbor weakly asymmetric mass conservative particle systems evolving on $\mathbb{Z}$, which includes zero-range and types of exclusion processes, starting from a perturbation of a stationary state. When the weak asymmetry is of order $O(n^\gamma)$ for $1/2<\gamma\leq 1$, we show that the scaling limit of the fluctuation field, as seen across process characteristics, is a generalized Ornstein-Uhlenbeck process. However, at the critical weak asymmetry when $\gamma = 1/2$, we show that all limit points solve a martingale problem which may be interpreted in terms of a stochastic Burgers equation derived from taking the gradient of the KPZ equation. The proofs make use of a sharp `Boltzmann-Gibbs' estimate which improves on earlier bounds.por
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT)por
dc.language.isoengpor
dc.publisherIMSpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/109844/PT-
dc.rightsopenAccesspor
dc.subjectKPZ equationpor
dc.subjectBurgerspor
dc.subjectWeakly asymmetricpor
dc.subjectZero-rangepor
dc.subjectKinetically constrainedpor
dc.subjectEquilibrium fluctuationspor
dc.subjectSpeed-changepor
dc.subjectFluctuationspor
dc.subjectweakly asymetricpor
dc.titleA stochastic Burgers equation from a class of microscopic interactionspor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://www.imstat.org/aop/por
sdum.publicationstatussubmittedpor
oaire.citationStartPage286por
oaire.citationEndPage338por
oaire.citationIssue1por
oaire.citationTitleAnnals of Probabilitypor
oaire.citationVolume43por
dc.identifier.doi10.1214/13-aop878-
dc.subject.wosScience & Technologypor
sdum.journalThe Annals of Probabilitypor
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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