The height of random binary unlabelled trees
Nicolas Broutin, Philippe Flajolet

TL;DR
This paper analyzes the height distribution of random unlabelled binary trees, showing it converges to a theta distribution and providing deviation estimates, using complex analysis of generating functions.
Contribution
It introduces a detailed analysis of the height distribution of unlabelled binary trees, including limiting distribution and deviation bounds, which was not previously established.
Findings
Height converges to a theta distribution
Derived moderate and large deviation estimates
Used complex analysis of generating functions
Abstract
This extended abstract is dedicated to the analysis of the height of non-plane unlabelled rooted binary trees. The height of such a tree chosen uniformly among those of size is proved to have a limiting theta distribution, both in a central and local sense. Moderate as well as large deviations estimates are also derived. The proofs rely on the analysis (in the complex plane) of generating functions associated with trees of bounded height.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Random Matrices and Applications
