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Paths in a random digital tree: limiting distributions

Published online by Cambridge University Press:  01 July 2016

Boris Pittel
Boris Pittel*
Affiliation:
The Ohio State University
*
∗Postal address: Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA.
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Extract

We study a rule of growing a sequence {tn } of finite subtrees of an infinite m-ary tree T. Independent copies {ω (n)} of a Bernoulli-type process ω on m letters are used to trace out a sequence of paths in T. The tree tn is obtained by cutting each , at the first node such that at most σ paths out of , pass through it. Denote by Hn the length of the longest path, hn the length of the shortest path, and Ln the length of the randomly chosen path in tn. It is shown that, in probability, Hn – logan = O(1), hn – logb (n/log n) = 0(1), (or hn – logb (n/log log n) = O(1)), and that is asymptotically normal. The parameters a, b, c depend on the distribution of ω and, in case of a, also on σ. These estimates describe respectively the worst, the best and the typical case behavior of a ‘trie’ search algorithm for a dictionary-type information retrieval system, with σ being the capacity of a page.

Keywords

DIGITAL SEARCHHEIGHT

Information

Type
Research Article
Information
Advances in Applied Probability , Volume 18 , Issue 1 , March 1986 , pp. 139 - 155
Copyright
Copyright © Applied Probability Trust 1986 

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