Large Deviation Principle For Functional Limit Theorems

dc.contributorOprisan, Adinaen_US
dc.date.accessioned2009-09-16T18:19:04Z
dc.date.accessioned2011-08-24T21:42:33Z
dc.date.available2009-09-16T18:19:04Z
dc.date.available2011-08-24T21:42:33Z
dc.date.issued2009-09-16T18:19:04Z
dc.date.submittedJanuary 2009en_US
dc.description.abstractWe study a family of stochastic additive functionals of Markov processes with locally independent increments switched by jump Markov processes in an asymptotic split phase space. Based on an averaging limit theorem, we obtain a large deviation result for this stochastic evolutionary system using a weak convergence approach. Examples, including compound Poisson processes, illustrate cases in which the rate function is calculated in an explicit form.We prove also a large deviation principle for a class of empirical processes associated with additive functionals of Markov processes that were shown to have a martingale decomposition. Functional almost everywhere central limit theorems are established and the large deviation results are derived.en_US
dc.identifier.urihttp://hdl.handle.net/10106/1734
dc.language.isoENen_US
dc.publisherMathematicsen_US
dc.titleLarge Deviation Principle For Functional Limit Theoremsen_US
dc.typePh.D.en_US

Files