The heavy path approach to Galton-Watson trees with an application to Apollonian networks
Luc Devroye, Cecilia Holmgren, Henning Sulzbach

TL;DR
This paper analyzes the structure of heavy path decompositions in Galton-Watson trees and applies findings to demonstrate that Apollonian networks of size n have a longest simple path of expected length proportional to n.
Contribution
It introduces the concept of the $k$-heavy tree in Galton-Watson trees and studies its properties, providing new insights into their size and structure.
Findings
The $2$-heavy tree is with high probability larger than a constant fraction of n.
The maximal distance from any node to the $k$-heavy tree is O(n^{1/(k+1)}).
Expected longest simple path in random Apollonian networks is proportional to n.
Abstract
We study the heavy path decomposition of conditional Galton-Watson trees. In a standard Galton-Watson tree conditional on its size , we order all children by their subtree sizes, from large (heavy) to small. A node is marked if it is among the heaviest nodes among its siblings. Unmarked nodes and their subtrees are removed, leaving only a tree of marked nodes, which we call the -heavy tree. We study various properties of these trees, including their size and the maximal distance from any original node to the -heavy tree. In particular, under some moment condition, the -heavy tree is with high probability larger than for some constant , and the maximal distance from the -heavy tree is in probability. As a consequence, for uniformly random Apollonian networks of size , the expected size of the longest simple path is .
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
