Continuum asymptotics for tree growth models with uniform backward dynamics

Fuente: arXiv
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Main Author: Geldbach, David
Format: Preprint
Published: 2023
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author Geldbach, David
author_facet Geldbach, David
contents We study (plane) tree-valued Markov chains $(T_n,n \geq 1)$ with uniform backward dynamics and show that they can be obtained by sampling from a real tree. As non--plane trees, every such Markov chain is represented by a weighted real tree. We equip this real tree with a planar order as well as some extra functions for the full representation theorem. We also show that under an inhomogeneous rescaling after trimming leaves $(T_n, n\geq 1)$ converges to a random real tree in the Gromov--Prokhorov metric. This makes use of a special class of real trees, interval partition trees, which were introduced by Forman (2020). Moreover, this generalises and sheds some new light on work by Evans, Grübel and Wakolbinger (2017) on the binary special case.
format Preprint
id arxiv_https___arxiv_org_abs_2309_04336
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Continuum asymptotics for tree growth models with uniform backward dynamics
Geldbach, David
Probability
60G09, 54E70, 60C05
We study (plane) tree-valued Markov chains $(T_n,n \geq 1)$ with uniform backward dynamics and show that they can be obtained by sampling from a real tree. As non--plane trees, every such Markov chain is represented by a weighted real tree. We equip this real tree with a planar order as well as some extra functions for the full representation theorem. We also show that under an inhomogeneous rescaling after trimming leaves $(T_n, n\geq 1)$ converges to a random real tree in the Gromov--Prokhorov metric. This makes use of a special class of real trees, interval partition trees, which were introduced by Forman (2020). Moreover, this generalises and sheds some new light on work by Evans, Grübel and Wakolbinger (2017) on the binary special case.
title Continuum asymptotics for tree growth models with uniform backward dynamics
topic Probability
60G09, 54E70, 60C05
url https://arxiv.org/abs/2309.04336