IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v140y2021icp236-286.html
   My bibliography  Save this article

Stochastic mSQG equations with multiplicative transport noises: White noise solutions and scaling limit

Author

Listed:
  • Luo, Dejun
  • Zhu, Rongchan

Abstract

We consider the modified Surface Quasi-Geostrophic (mSQG) equation on the 2D torus T2, perturbed by multiplicative transport noise. The equation admits the white noise measure on T2 as the invariant measure. We first prove the existence of white noise solutions to the stochastic equation via the method of point vortex approximation, then, under a suitable scaling limit of the noise, we show that the solutions converge weakly to the unique stationary solution of the dissipative mSQG equation driven by space–time white noise. The weak uniqueness of the latter equation is also proved by following Gubinelli and Perkowski’s approach in Gubinelli and Perkowski (2020).

Suggested Citation

  • Luo, Dejun & Zhu, Rongchan, 2021. "Stochastic mSQG equations with multiplicative transport noises: White noise solutions and scaling limit," Stochastic Processes and their Applications, Elsevier, vol. 140(C), pages 236-286.
  • Handle: RePEc:eee:spapps:v:140:y:2021:i:c:p:236-286
    DOI: 10.1016/j.spa.2021.06.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030441492100106X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2021.06.013?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.

    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:140:y:2021:i:c:p:236-286. 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.