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dc.contributor.authorNewman, J
dc.date.accessioned2020-08-19T15:36:07Z
dc.date.issued2020-07-31
dc.description.abstractIt has been shown by Le Jan that, given a memoryless-noise random dynamical system together with an ergodic distribution for the associated Markov transition probabilities, if the support of the ergodic distribution admits locally asymptotically stable trajectories, then there is a random attracting set consisting of finitely many points, whose basin of forward-time attraction includes a random full measure open set. In this paper, we present necessary and sufficient conditions for this attracting set to be a singleton. Our result does not require the state space to be compact, but holds on general Lusin metric spaces (in both discrete and continuous time).en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationVol. 40 (7), pp. 4163 - 4177en_GB
dc.identifier.doi10.3934/dcds.2020176
dc.identifier.urihttp://hdl.handle.net/10871/122553
dc.language.isoenen_GB
dc.publisherAmerican Institute of Mathematical Sciences (AIMS)en_GB
dc.rights.embargoreasonUnder embargo until 31 July 2021 in compliance with publisher policyen_GB
dc.rights© 2020 American Institute of Mathematical Sciencesen_GB
dc.subjectRandom dynamical systemsen_GB
dc.subjectsynchronisationen_GB
dc.subjectasymptotic stabilityen_GB
dc.subjectinvariant measuresen_GB
dc.subjectMarkov processesen_GB
dc.titleSynchronisation of almost all trajectories of a random dynamical systemen_GB
dc.typeArticleen_GB
dc.date.available2020-08-19T15:36:07Z
dc.identifier.issn1553-5231
dc.descriptionThis is the author accepted manuscript. The final version is available from the American Institute of Mathematical Sciences via the DOI in this recorden_GB
dc.identifier.journalDiscrete and Continuous Dynamical Systems - Series Aen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-07-31
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-08-19T15:32:28Z
refterms.versionFCDAM
refterms.dateFOA2021-07-30T23:00:00Z
refterms.panelBen_GB


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