IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v130y2020i1p79-107.html
   My bibliography  Save this article

Strong well posedness of McKean–Vlasov stochastic differential equations with Hölder drift

Author

Listed:
  • Chaudru de Raynal, P.E.

Abstract

Here, we prove strong well-posedness for stochastic systems of McKean–Vlasov type with Hölder drift, even in the measure argument, and uniformly non-degenerate Lipschitz diffusion matrix. The Hölder regularity of the drift with respect to the law argument being for the Wasserstein distance.

Suggested Citation

  • Chaudru de Raynal, P.E., 2020. "Strong well posedness of McKean–Vlasov stochastic differential equations with Hölder drift," Stochastic Processes and their Applications, Elsevier, vol. 130(1), pages 79-107.
    • Handle: RePEc:eee:spapps:v:130:y:2020:i:1:p:79-107
    DOI: 10.1016/j.spa.2019.01.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304414919300511
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.spa.2019.01.006?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.

    Citations

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


    Cited by:

    1. Frikha, Noufel & Li, Libo, 2021. "Well-posedness and approximation of some one-dimensional Lévy-driven non-linear SDEs," Stochastic Processes and their Applications, Elsevier, vol. 132(C), pages 76-107.
    2. Erny, Xavier, 2022. "Well-posedness and propagation of chaos for McKean–Vlasov equations with jumps and locally Lipschitz coefficients," Stochastic Processes and their Applications, Elsevier, vol. 150(C), pages 192-214.
    3. Sharrock, Louis & Kantas, Nikolas & Parpas, Panos & Pavliotis, Grigorios A., 2023. "Online parameter estimation for the McKean–Vlasov stochastic differential equation," Stochastic Processes and their Applications, Elsevier, vol. 162(C), pages 481-546.

    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:1:p:79-107. 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: 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.