IDEAS home Printed from https://ideas.repec.org/a/spr/jotpro/v31y2018i3d10.1007_s10959-017-0746-4.html
   My bibliography  Save this article

Existence Condition of Strong Stationary Times for Continuous Time Markov Chains on Discrete Graphs

Author

Listed:
  • Guillaume Copros

    (Institut de Mathématiques de Toulouse)

Abstract

We consider a random walk on a discrete connected graph having some infinite branches plus finitely many vertices with finite degrees. We find the generator of a strong stationary dual in the sense of Fill, and use it to find some equivalent condition to the existence of a strong stationary time. This strong stationary dual process lies in the set of connected compact sets of the compactification of the graph. When the graph is $$\mathbb Z$$ Z , the set here is simply the set of (possibly infinite) segments of $$\mathbb Z$$ Z .

Suggested Citation

  • Guillaume Copros, 2018. "Existence Condition of Strong Stationary Times for Continuous Time Markov Chains on Discrete Graphs," Journal of Theoretical Probability, Springer, vol. 31(3), pages 1679-1728, September.
  • Handle: RePEc:spr:jotpro:v:31:y:2018:i:3:d:10.1007_s10959-017-0746-4
    DOI: 10.1007/s10959-017-0746-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10959-017-0746-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10959-017-0746-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu Gong & Yong-Hua Mao & Chi Zhang, 2012. "Hitting Time Distributions for Denumerable Birth and Death Processes," Journal of Theoretical Probability, Springer, vol. 25(4), pages 950-980, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giorno, Virginia & Nobile, Amelia G., 2022. "On some integral equations for the evaluation of first-passage-time densities of time-inhomogeneous birth-death processes," Applied Mathematics and Computation, Elsevier, vol. 422(C).
    2. Erik A. Doorn, 2017. "An Orthogonal-Polynomial Approach to First-Hitting Times of Birth–Death Processes," Journal of Theoretical Probability, Springer, vol. 30(2), pages 594-607, June.

    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:spr:jotpro:v:31:y:2018:i:3:d:10.1007_s10959-017-0746-4. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.