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dc.contributor.authorKorepanov, A
dc.contributor.authorKosloff, Z
dc.contributor.authorMelbourne, I
dc.date.accessioned2018-05-15T13:07:21Z
dc.date.issued2017-09-08
dc.description.abstractWe prove statistical limit laws for sequences of Birkhoff sums of the type ∑j=0n-1vn(ring operator)Tnj where Tn is a family of nonuniformly hyperbolic transformations.The key ingredient is a new martingale-coboundary decomposition for nonuniformly hyperbolic transformations which is useful already in the case when the family Tn is replaced by a fixed transformation T, and which is particularly effective in the case when Tn varies with n.In addition to uniformly expanding/hyperbolic dynamical systems, our results include cases where the family Tn consists of intermittent maps, unimodal maps (along the Collet-Eckmann parameters), Viana maps, and externally forced dispersing billiards.As an application, we prove a homogenisation result for discrete fast-slow systems where the fast dynamics is generated by a family of nonuniformly hyperbolic transformations.en_GB
dc.description.sponsorshipThis research was supported in part by a European Advanced Grant StochExtHomog (ERC AdG 320977).en_GB
dc.identifier.citationVol. 35 (4), pp. 859-885.en_GB
dc.identifier.doihttp://dx.doi.org/10.1016/j.anihpc.2017.08.005
dc.identifier.urihttp://hdl.handle.net/10871/32866
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights.embargoreasonUnder embargo until 08 September 2018 in compliance with publisher policy.en_GB
dc.rights© 2017 Elsevier Masson SAS. All rights reserved.en_GB
dc.subjectMartingale–coboundary decompositionen_GB
dc.subjectNonuniform hyperbolicityen_GB
dc.subjectStatistical limit lawsen_GB
dc.subjectHomogenisationen_GB
dc.subjectFast–slow systemsen_GB
dc.titleMartingale-coboundary decomposition for families of dynamical systemsen_GB
dc.typeArticleen_GB
dc.identifier.issn0294-1449
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalAnnales de l'Institut Henri Poincaré C, Analyse Non Linéaireen_GB


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