Subgeometric ergodicity of strong Markov processes
classification
🧮 math.PR
keywords
processescriterionf-ergodicitysubgeometricapplicationsconditionconditionsconsidered
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We derive sufficient conditions for subgeometric f-ergodicity of strongly Markovian processes. We first propose a criterion based on modulated moment of some delayed return-time to a petite set. We then formulate a criterion for polynomial f-ergodicity in terms of a drift condition on the generator. Applications to specific processes are considered, including Langevin tempered diffusions on R^n and storage models.
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