IDEAS home Printed from https://ideas.repec.org/a/hin/jnijsa/395461.html
   My bibliography  Save this article

Quasi-Feller Markov chains

Author

Listed:
  • Jean B. Lasserre

Abstract

We consider the class of Markov kernels for which the weak or strong Feller property fails to hold at some discontinuity set. We provide a simple necessary and sufficient condition for existence of an invariant probability measure as well as a Foster-Lyapunov sufficient condition. We also characterize a subclass, the quasi (weak or strong) Feller kernels, for which the sequences of expected occupation measures share the same asymptotic properties as for (weak or strong) Feller kernels. In particular, it is shown that the sequences of expected occupation measures of strong and quasi strong-Feller kernels with an invariant probability measure converge setwise to an invariant measure.

Suggested Citation

  • Jean B. Lasserre, 2000. "Quasi-Feller Markov chains," International Journal of Stochastic Analysis, Hindawi, vol. 13, pages 1-10, January.
    • Handle: RePEc:hin:jnijsa:395461
    DOI: 10.1155/S1048953300000022
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/IJSA/13/395461.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/IJSA/13/395461.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/S1048953300000022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnijsa:395461. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.