Almost sure asymptotics for the random binary search tree
Matthew I. Roberts

TL;DR
This paper analyzes the asymptotic behavior of the height and saturation level of a random binary search tree, establishing almost sure and probabilistic results, and investigates the unboundedness of particles at the maximum height.
Contribution
It provides new almost sure and probabilistic asymptotics for the height and saturation level of random binary search trees, including the unboundedness of particles at maximum height.
Findings
Asymptotics for height and saturation level on loglog scale
Almost sure and in probability convergence results
Unbounded number of particles at maximum height
Abstract
We consider a (random permutation model) binary search tree with n nodes and give asymptotics on the loglog scale for the height H_n and saturation level h_n of the tree as n\to\infty, both almost surely and in probability. We then consider the number F_n of particles at level H_n at time n, and show that F_n is unbounded almost surely.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Bayesian Methods and Mixture Models · Probability and Risk Models
