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Ergodicity of filtering process by vanishing discount approach
Authors:G.B. Di Masi,&#x  . Stettner
Affiliation:aUniversità di Padova, Dipartimento di Matematica, Pura ed Applicata, Via Belzoni 7, 35131 Padova and CNR-LADSEB, Italy;bInstitute of Mathematics, Polish Academy of Sciences, Sniadeckich 8, 00-956 Warsaw, and Academy of Finance, Poland
Abstract:A new approach to study ergodicity of filtering processes is presented. It is based on the vanishing discount approach to discounted functional of filtering process. We show that limit superior of the Cesaro averages of the functionals is the same for all initial conditions from which the uniqueness of invariant measures of filtering processes follows. The approach is based on certain assumption for which we provide a sufficient condition using concavity arguments. In addition we show the existence of solutions to the Poisson equation corresponding to filtering process with concave functional. The assumptions are then extended to the controlled case and using similar concave arguments we obtain the existence of solutions to the Bellman equation corresponding to partially observed average cost per unit time problem.
Keywords:Filtering process   Hidden Markov process   Vanishing discount   Invariant measure   Poisson equation   Partially observed control problem   Bellman equation
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