IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v76y2006i16p1748-1755.html
   My bibliography  Save this article

A note on the distance in random recursive trees

Author

Listed:
  • Su, Chun
  • Liu, Jie
  • Feng, Qunqiang

Abstract

Recursive trees have been used to model such things as the spread of epidemics, family trees of ancient manuscripts, and pyramid schemes. A tree Tn with n labeled nodes is a random recursive tree if n=1, or n>1 and Tn can be constructed by joining node n to a node of some recursive tree Tn-1 with the same probability 1/(n-1). For arbitrary positive integer i=in[less-than-or-equals, slant]n-1, a function of n, we demonstrate Din,n, the distance between nodes in and n in random recursive trees, is asymptotically normal as n-->[infinity] by using the classical limit theory method.

Suggested Citation

  • Su, Chun & Liu, Jie & Feng, Qunqiang, 2006. "A note on the distance in random recursive trees," Statistics & Probability Letters, Elsevier, vol. 76(16), pages 1748-1755, October.
  • Handle: RePEc:eee:stapro:v:76:y:2006:i:16:p:1748-1755
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(06)00137-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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:stapro:v:76:y:2006:i:16:p:1748-1755. 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.