EconPapers    
Economics at your fingertips  
 

Imbalance in Random Digital Trees

Hosam M. Mahmoud ()
Additional contact information
Hosam M. Mahmoud: The George Washington University

Methodology and Computing in Applied Probability, 2009, vol. 11, issue 2, 231-247

Abstract: Abstract The imbalance factor of the nodes containing keys in a trie (a sort of digital trees) is investigated. Accurate asymptotics for the mean are derived for a randomly chosen key in the trie via poissonization and the Mellin transform, and the inverse of the two operations. It is also shown from an analysis of the moving poles of the Mellin transform of the poissonized moment generating function that the imbalance factor (under appropriate centering and scaling) follows a Gaussian limit law.

Keywords: Random trees; Digital trees; Recurrence; Mellin transform; Poissonization; Depoissonization; Singularity analysis; Primary 05C05, 60C05; Secondary 60F05, 68P05, 68P10, 68P20 (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11009-008-9087-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:metcap:v:11:y:2009:i:2:d:10.1007_s11009-008-9087-1

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009

DOI: 10.1007/s11009-008-9087-1

Access Statistics for this article

Methodology and Computing in Applied Probability is currently edited by Joseph Glaz

More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:metcap:v:11:y:2009:i:2:d:10.1007_s11009-008-9087-1