IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v85y2014icp51-62.html
   My bibliography  Save this article

Smooth density for the solution of scalar SDEs with locally Lipschitz coefficients under Hörmander condition

Author

Listed:
  • Tahmasebi, M.

Abstract

In this paper the existence of a smooth density is proved for the solution of an SDE, with locally Lipschitz coefficients and semi-monotone drift, under Hörmander condition. We prove the nondegeneracy condition for the solution of the SDE, from it an integration by parts formula would result in the Wiener space. To this end we construct a sequence of SDEs with globally Lipschitz coefficients whose solutions converge to the original one and use some Lyapunov functions to show the uniform boundedness of the p-moments of the solutions and their Malliavin derivatives with respect to n.

Suggested Citation

  • Tahmasebi, M., 2014. "Smooth density for the solution of scalar SDEs with locally Lipschitz coefficients under Hörmander condition," Statistics & Probability Letters, Elsevier, vol. 85(C), pages 51-62.
  • Handle: RePEc:eee:stapro:v:85:y:2014:i:c:p:51-62
    DOI: 10.1016/j.spl.2013.11.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167715213003842
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spl.2013.11.004?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. Ren, Yao-Feng, 2008. "On the Burkholder-Davis-Gundy inequalities for continuous martingales," Statistics & Probability Letters, Elsevier, vol. 78(17), pages 3034-3039, 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. Ren, Yaofeng & Shen, Jing, 2012. "A note on the domination inequalities and their applications," Statistics & Probability Letters, Elsevier, vol. 82(6), pages 1160-1168.
    2. Gulisashvili, Archil, 2020. "Gaussian stochastic volatility models: Scaling regimes, large deviations, and moment explosions," Stochastic Processes and their Applications, Elsevier, vol. 130(6), pages 3648-3686.

    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:stapro:v:85:y:2014:i:c:p:51-62. 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/622892/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.