Pruning Galton-Watson Trees and Tree-valued Markov Processes
Romain Abraham (MAPMO), Jean-Francois Delmas (CERMICS), Hui He (MAPMO)

TL;DR
This paper introduces a new node-marking pruning method for discrete trees, enabling the construction and analysis of tree-valued Markov processes derived from Galton-Watson trees, extending previous edge-based pruning approaches.
Contribution
It develops a novel node-marking pruning procedure and studies associated Markov processes, generalizing prior edge-based pruning results to broader Galton-Watson models.
Findings
Representation of the pruning process in terms of conditioned Galton-Watson trees.
Extension of Aldous and Pitman's results to more general offspring distributions.
Analysis of the process until its ascension time.
Abstract
We present a new pruning procedure on discrete trees by adding marks on the nodes of trees. This procedure allows us to construct and study a tree-valued Markov process by pruning Galton-Watson trees and an analogous process by pruning a critical or subcritical Galton-Watson tree conditioned to be infinite. Under a mild condition on offspring distributions, we show that the process run until its ascension time has a representation in terms of . A similar result was obtained by Aldous and Pitman (1998) in the special case of Poisson offspring distributions where they considered uniform pruning of Galton-Watson trees by adding marks on the edges of trees.
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