In this paper we consider a Markov chain deΓΏned on a locally compact separable metric space which satisΓΏes the Feller property. We introduce a new assumption which generalizes T-chain and irreducibility assumptions, well known in the literature of Markov chains. Under this new assumption, the Foster
Invariant probabilities for Markov chains on a metric space
β Scribed by Jean B. Lasserre
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 317 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
We consider Markov kernels on a locally compact separable metric space that satisfy the (weak) Feller property. We provide a very simple necessary and sufficient condition for existence of an invariant probability measure. We also prove that every Feller Markov kernel on a compact Hausdorff (not necessarily metric) has an invariant probability measure. An alternative sample-path critcrion of existence is also provided, as well as a sufficient condition for uniqueness.
π SIMILAR VOLUMES
In this paper, we present necessary and su cient conditions for the existence of a non-singular invariant probability measure for a Feller Markov chain taking values on a locally compact separable metric space. The necessary and su cient condition is written in terms of the Foster's criterion with a