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November 2012 Scaling limits of Markov branching trees with applications to Galton–Watson and random unordered trees
Bénédicte Haas, Grégory Miermont
Ann. Probab. 40(6): 2589-2666 (November 2012). DOI: 10.1214/11-AOP686


We consider a family of random trees satisfying a Markov branching property. Roughly, this property says that the subtrees above some given height are independent with a law that depends only on their total size, the latter being either the number of leaves or vertices. Such families are parameterized by sequences of distributions on partitions of the integers that determine how the size of a tree is distributed in its different subtrees. Under some natural assumption on these distributions, stipulating that “macroscopic” splitting events are rare, we show that Markov branching trees admit the so-called self-similar fragmentation trees as scaling limits in the Gromov–Hausdorff–Prokhorov topology.

The main application of these results is that the scaling limit of random uniform unordered trees is the Brownian continuum random tree. This extends a result by Marckert–Miermont and fully proves a conjecture by Aldous. We also recover, and occasionally extend, results on scaling limits of consistent Markov branching models and known convergence results of Galton–Watson trees toward the Brownian and stable continuum random trees.


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Bénédicte Haas. Grégory Miermont. "Scaling limits of Markov branching trees with applications to Galton–Watson and random unordered trees." Ann. Probab. 40 (6) 2589 - 2666, November 2012.


Published: November 2012
First available in Project Euclid: 26 October 2012

zbMATH: 1259.60033
MathSciNet: MR3050512
Digital Object Identifier: 10.1214/11-AOP686

Primary: 60F17 , 60J80

Keywords: continuum random trees , Markov branching property , Random trees , scaling limits , Self-similar fragmentations

Rights: Copyright © 2012 Institute of Mathematical Statistics

Vol.40 • No. 6 • November 2012
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