IDEAS home Printed from https://ideas.repec.org/a/spr/jotpro/v34y2021i3d10.1007_s10959-020-01061-6.html
   My bibliography  Save this article

Statistical Properties of Eigenvalues of Laplace–Beltrami Operators

Author

Listed:
  • Tiefeng Jiang

    (University of Minnesota)

  • Ke Wang

    (Hong Kong University of Science and Technology)

Abstract

We study the eigenvalues of a Laplace–Beltrami operator defined on the set of the symmetric polynomials, where the eigenvalues are expressed in terms of partitions of integers. To study the behaviors of these eigenvalues, we assign partitions with the restricted uniform measure, the restricted Jack measure, the uniform measure, or the Plancherel measure. We first obtain a new limit theorem on the restricted uniform measure. Then, by using it together with known results on other three measures, we prove that the global distribution of the eigenvalues is asymptotically a new distribution $$\mu $$ μ , the Gamma distribution, the Gumbel distribution, and the Tracy–Widom distribution, respectively. The Tracy–Widom distribution is obtained for a special case only due to a technical constraint. An explicit representation of $$\mu $$ μ is obtained by a function of independent random variables. Two open problems are also asked.

Suggested Citation

  • Tiefeng Jiang & Ke Wang, 2021. "Statistical Properties of Eigenvalues of Laplace–Beltrami Operators," Journal of Theoretical Probability, Springer, vol. 34(3), pages 1061-1109, September.
  • Handle: RePEc:spr:jotpro:v:34:y:2021:i:3:d:10.1007_s10959-020-01061-6
    DOI: 10.1007/s10959-020-01061-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10959-020-01061-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10959-020-01061-6?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:spr:jotpro:v:34:y:2021:i:3:d:10.1007_s10959-020-01061-6. 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.