Open Access
August 2009 Search cost for a nearly optimal path in a binary tree
Robin Pemantle
Ann. Appl. Probab. 19(4): 1273-1291 (August 2009). DOI: 10.1214/08-AAP585

Abstract

Consider a binary tree, to the vertices of which are assigned independent Bernoulli random variables with mean p≤1/2. How many of these Bernoullis one must look at in order to find a path of length n from the root which maximizes, up to a factor of 1−ɛ, the sum of the Bernoullis along the path? In the case p=1/2 (the critical value for nontriviality), it is shown to take Θ(ɛ−1n) steps. In the case p<1/2, the number of steps is shown to be at least n⋅exp(const ɛ−1/2). This last result matches the known upper bound from [Algorithmica 22 (1998) 388–412] in a certain family of subcases.

Citation

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Robin Pemantle. "Search cost for a nearly optimal path in a binary tree." Ann. Appl. Probab. 19 (4) 1273 - 1291, August 2009. https://doi.org/10.1214/08-AAP585

Information

Published: August 2009
First available in Project Euclid: 27 July 2009

zbMATH: 1176.68093
MathSciNet: MR2538070
Digital Object Identifier: 10.1214/08-AAP585

Subjects:
Primary: 68Q25 , 68W40
Secondary: 60C05 , 60J80

Keywords: algorithm , Branching random walk , computational complexity , Maximal displacement , minimal displacement , optimal path

Rights: Copyright © 2009 Institute of Mathematical Statistics

Vol.19 • No. 4 • August 2009
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