A conditioning principle for Galton-Watson trees
Nathanael Berestycki, Peter Morters, Nadia Sidorova

TL;DR
This paper demonstrates that conditioned infinite Galton-Watson trees converge to a regular tree as the conditioning threshold approaches zero, illustrating a form of entropic repulsion with entropy-free limits.
Contribution
It provides a new limit theorem for conditioned Galton-Watson trees, linking the martingale limit condition to convergence towards a regular tree structure.
Findings
Convergence of conditioned Galton-Watson trees to regular trees as epsilon approaches zero
Illustration of entropic repulsion with entropy-free limits
Identification of the essential minimum of the offspring distribution as a key parameter
Abstract
We show that an infinite Galton-Watson tree, conditioned on its martingale limit being smaller than , converges as in law to the regular -ary tree, where is the essential minimum of the offspring distribution. This gives an example of entropic repulsion where the limit has no entropy.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Theoretical and Computational Physics
