IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v119y2009i2p410-427.html
   My bibliography  Save this article

Invariant measures for stochastic evolution equations of pure jump type

Author

Listed:
  • Dong, Zhao
  • Xu, Tiange
  • Zhang, Tusheng

Abstract

In this paper, we obtain a characterization of invariant measures of stochastic evolution equations and stochastic partial differential equations of pure jump type. As an application, it is shown that the equation has a unique invariant probability measure under some reasonable conditions.

Suggested Citation

  • Dong, Zhao & Xu, Tiange & Zhang, Tusheng, 2009. "Invariant measures for stochastic evolution equations of pure jump type," Stochastic Processes and their Applications, Elsevier, vol. 119(2), pages 410-427, February.
  • Handle: RePEc:eee:spapps:v:119:y:2009:i:2:p:410-427
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304-4149(08)00053-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Lasota, Andrzej & Traple, Janusz, 2003. "Invariant measures related with Poisson driven stochastic differential equation," Stochastic Processes and their Applications, Elsevier, vol. 106(1), pages 81-93, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Ran & Xu, Lihu, 2018. "Asymptotics for stochastic reaction–diffusion equation driven by subordinate Brownian motion," Stochastic Processes and their Applications, Elsevier, vol. 128(5), pages 1772-1796.

    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. Czapla, Dawid & Horbacz, Katarzyna & Wojewódka-Ściążko, Hanna, 2020. "Ergodic properties of some piecewise-deterministic Markov process with application to gene expression modelling," Stochastic Processes and their Applications, Elsevier, vol. 130(5), pages 2851-2885.
    2. Horbacz, Katarzyna, 2016. "Strong law of large numbers for continuous random dynamical systems," Statistics & Probability Letters, Elsevier, vol. 118(C), pages 70-79.

    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:eee:spapps:v:119:y:2009:i:2:p:410-427. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/505572/description#description .

    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.