IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v238y2026ics0167715226002439.html

Longest visible rays in Boolean models with general convex grains

Author

Listed:
  • Thäle, Christoph

Abstract

We consider a stationary Boolean model in Rd whose grains are random compact convex bodies with non-empty interior. Conditionally on the origin being uncovered, we study the logarithmic tail asymptotics of the length Lo of the longest visible ray starting at the origin. For a fixed direction u∈Sd−1, the visible range has an exponential tail with rate equal to the intensity times the mean (d−1)-dimensional volume of the projection of the typical grain onto u⊥. Optimizing over all directions therefore leads to an anisotropic variational principle. We show that the decay rate for Lo is determined by the minimum mean brightness of the typical grain.

Suggested Citation

  • Thäle, Christoph, 2026. "Longest visible rays in Boolean models with general convex grains," Statistics & Probability Letters, Elsevier, vol. 238(C).
  • Handle: RePEc:eee:stapro:v:238:y:2026:i:c:s0167715226002439
    DOI: 10.1016/j.spl.2026.110879
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167715226002439
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spl.2026.110879?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:stapro:v:238:y:2026:i:c:s0167715226002439. 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/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.