Constructing and searching conditioned Galton-Watson trees
Eric Cator, Henk Don

TL;DR
This paper studies how to construct and analyze conditioned Galton-Watson trees, revealing their structure and offspring distributions, and applies these findings to compute the expected search cost in such trees.
Contribution
It explicitly characterizes the structure of conditioned Galton-Watson trees and derives formulas for their offspring distributions and search costs.
Findings
Conditioned Galton-Watson trees have level-dependent offspring distributions.
Explicit formulas for offspring distributions of conditioned trees.
Calculated expected search cost in conditioned Galton-Watson trees.
Abstract
We investigate conditioning Galton-Watson trees on general recursive-type events, such as the event that the tree survives until a specific level. It turns out that the conditioned tree is again a type of Galton-Watson tree, with different types of offspring and a level-dependent offspring distribution, which will all be given explicitly. As an interesting application of these results, we will calculate the expected cost of searching a tree until reaching a given level.
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Taxonomy
TopicsAlgorithms and Data Compression · Data Management and Algorithms · Advanced Database Systems and Queries
