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MULTIDIMENSIONAL WALKS WITH RANDOM TENDENCY

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dc.creatorMANUEL ALEJANDRO GONZÁLEZ NAVARRETE
dc.date2020
dc.date.accessioned2025-01-10T15:15:56Z
dc.date.available2025-01-10T15:15:56Z
dc.date.issued2020
dc.description.abstractWE INTRODUCE A MULTIDIMENSIONAL WALK WITH MEMORY AND RANDOM TENDENCY. THE ASYMPTOTIC BEHAVIOUR IS CHARACTERIZED, PROVING A LAW OF LARGE NUMBERS AND SHOWING A PHASE TRANSITION FROM DIFFUSIVE TO SUPERDIFFUSIVE REGIMES. IN FIRST CASE, WE OBTAIN A FUNCTIONAL LIMIT THEOREM TO GAUSSIAN VECTORS. IN SUPERDIFFUSIVE REGIME, WE OBTAIN STRONG CONVERGENCE TO A NON-GAUSSIAN RANDOM VECTOR AND CHARACTERIZE ITS MOMENTS.
dc.formatapplication/pdf
dc.identifier.doi10.1007/s10955-020-02621-0
dc.identifier.issn1572-9613
dc.identifier.issn0022-4715
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/11194
dc.languagespa
dc.publisherJOURNAL OF STATISTICAL PHYSICS
dc.relation.uri10.1007/s10955-020-02621-0
dc.rightsPUBLICADA
dc.titleMULTIDIMENSIONAL WALKS WITH RANDOM TENDENCY
dc.title.alternativeCAMINATAS MULTIDIMENSIONALES CON TENDENCIA ALEATORIA
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE ESTADISTICA
ubb.SedeCONCEPCIÓN
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