“…[3]). Let r ∈ Λ, then the ergodic chain Φ n is said to be subgeometrically ergodic of order r in the fnorm, (or simply (f, r)-ergodic) if for the unique invariant distribution π of the process and ∀ i ∈ X , then lim…”
Abstract. We investigate subgeometric rate ergodicity for Markov chains in the Wasserstein metric and show that the finiteness of the expectation, where τ △ is the hitting time on the coupling set △ and r is a subgeometric rate function, is equivalent to a sequence of Foster-Lyapunov drift conditions which imply subgeometric convergence in the Wassertein distance. We give an example for a 'family of nested drift conditions'.
“…[3]). Let r ∈ Λ, then the ergodic chain Φ n is said to be subgeometrically ergodic of order r in the fnorm, (or simply (f, r)-ergodic) if for the unique invariant distribution π of the process and ∀ i ∈ X , then lim…”
Abstract. We investigate subgeometric rate ergodicity for Markov chains in the Wasserstein metric and show that the finiteness of the expectation, where τ △ is the hitting time on the coupling set △ and r is a subgeometric rate function, is equivalent to a sequence of Foster-Lyapunov drift conditions which imply subgeometric convergence in the Wassertein distance. We give an example for a 'family of nested drift conditions'.
“…Let be a subgeometric rate function. For more on subgeometric rate functions the interested reader can consult [9]. We note that if then is also a subgeometric rate function and so is provided for some constant .…”
Section: Bulletin Of Mathematical Sciences and Applications Vol 10(8)mentioning
Abstract. In this study we first investigate the stability of subsampled discrete Markov chains through the use of the maximal coupling procedure. This is an extension of the available results on Markov chains and is realized through the analysis of the subsampled chain , where is an increasing sequence of random stopping times. Then the similar results are realized for the stability of countable-state Continuous-time Markov processes by employing the skeleton-chain method.
“…Then Λ is referred to as the class of subgeometric rate functions [8]. Indeed (4) implies the equivalence of the class of functions Λ 0 with the class of functions Λ.…”
Motivated by possible applications of Lyapunov techniques in the stability of stochastic networks, subgeometric ergodicity of Markov chains is investigated. In a nutshell, in this study we take a look at -ergodic general Markov chains, subgeometrically ergodic at rate , when the random-time Foster-Lyapunov drift conditions on a set of stopping times are satisfied.
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