IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v130y2020i8p4910-4926.html
   My bibliography  Save this article

Stationary points in coalescing stochastic flows on R

Author

Listed:
  • Dorogovtsev, Andrey A.
  • Riabov, Georgii V.
  • Schmalfuß, Björn

Abstract

This work is devoted to long-time properties of the Arratia flow with drift – a stochastic flow on R whose one-point motions are weak solutions to a stochastic differential equation dX(t)=a(X(t))dt+dw(t) that move independently before the meeting time and coalesce at the meeting time. We study special modification of such flow that gives rise to a random dynamical system and thus allows to discuss stationary points. Existence of a unique stationary point is proved in the case of a strictly monotone Lipschitz drift by developing a variant of a pullback procedure. Connections between the existence of a stationary point and properties of a dual flow are discussed.

Suggested Citation

  • Dorogovtsev, Andrey A. & Riabov, Georgii V. & Schmalfuß, Björn, 2020. "Stationary points in coalescing stochastic flows on R," Stochastic Processes and their Applications, Elsevier, vol. 130(8), pages 4910-4926.
  • Handle: RePEc:eee:spapps:v:130:y:2020:i:8:p:4910-4926
    DOI: 10.1016/j.spa.2020.02.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304414918304253
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2020.02.005?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. Harris, Theodore E., 1984. "Coalescing and noncoalescing stochastic flows in R1," Stochastic Processes and their Applications, Elsevier, vol. 17(2), pages 187-210, July.
    2. Goncharuk, Nataliya Yu. & Kotelenez, Peter, 1998. "Fractional step method for stochastic evolution equations," Stochastic Processes and their Applications, Elsevier, vol. 73(1), pages 1-45, January.
    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. Stefan Tappe, 2022. "Invariant cones for jump-diffusions in infinite dimensions," Papers 2206.13913, arXiv.org, revised Nov 2023.
    2. C. Tudor & M. Tudor, 2002. "Some Properties of Solutions of Double Stochastic Differential Equations," Journal of Theoretical Probability, Springer, vol. 15(1), pages 129-151, January.

    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:130:y:2020:i:8:p:4910-4926. 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.