IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v186y2025ics0304414925000821.html
   My bibliography  Save this article

Limit theorems for high-dimensional Betti numbers in the multiparameter random simplicial complexes

Author

Listed:
  • Owada, Takashi
  • Samorodnitsky, Gennady

Abstract

We consider the multiparameter random simplicial complex on a vertex set {1,…,n}, which is parameterized by multiple connectivity probabilities. Our key results concern the topology of this complex of dimensions higher than the critical dimension. We show that the higher-dimensional Betti numbers satisfy strong laws of large numbers and central limit theorems. Moreover, lower tail large deviations for these Betti numbers are also discussed. Some of our results indicate an occurrence of phase transitions in terms of the scaling constants of the central limit theorem, and the exponentially decaying rate of convergence of lower tail large deviation probabilities.

Suggested Citation

  • Owada, Takashi & Samorodnitsky, Gennady, 2025. "Limit theorems for high-dimensional Betti numbers in the multiparameter random simplicial complexes," Stochastic Processes and their Applications, Elsevier, vol. 186(C).
  • Handle: RePEc:eee:spapps:v:186:y:2025:i:c:s0304414925000821
    DOI: 10.1016/j.spa.2025.104641
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304414925000821
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2025.104641?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:186:y:2025:i:c:s0304414925000821. 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.