IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-032-03914-9_5.html

Lower Bounds for the Support of Cubature Measures on Wiener Space and Optimal Degree-Five Constructions

In: Stochastic Analysis and Applications 2025

Author

Listed:
  • Christian Litterer

    (University of York, Department of Mathematics)

Abstract

We generalise classical estimates by Möller’s (Numerische Integration: Tagung im Mathematischen Forschungsinstitut Oberwolfach, pp 221–230, 1979, [22]) for the minimal number of nodes in cubature formulas for symmetric integrals to obtain a lower bound on the number of paths in the support of cubature measures on Wiener space. Motivated by this analysis, we construct a family of degree-5 cubature measures on Lie polynomials that attain this lower bound when implemented with corresponding Gaussian cubature formulas of minimal support. Our construction yields measures with significantly smaller support than the formulas introduced by Lyons and Victoir (Proc Royal Soc Lond. Ser A: Math Phys Eng Sci 460(2041):169–198, 2004, [20]) in both low- and high-dimensional noise settings.

Suggested Citation

  • Christian Litterer, 2026. "Lower Bounds for the Support of Cubature Measures on Wiener Space and Optimal Degree-Five Constructions," Springer Books, in: Dan Crisan & Ilya Chevyrev & Thomas Cass & James Foster & Christian Litterer & Cristopher Salvi (ed.), Stochastic Analysis and Applications 2025, pages 151-174, Springer.
  • Handle: RePEc:spr:sprchp:978-3-032-03914-9_5
    DOI: 10.1007/978-3-032-03914-9_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:spr:sprchp:978-3-032-03914-9_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.