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Continous random trees

Authors: Ganjour, Dmitri;

Continous random trees

Abstract

The Brownian motion has played an important role in the development of probability theory and stochastic processes. We are going to see that it appears in the limiting process of several discrete processes. In particular, we will define discrete processes on Galton-Watson trees to see 2 different types of limits, which are the local limits and the scaling limits. The first result, Kesten's theorem, is a result for the local limits. We are going to look at the trees up to an arbitrary fixed height and therefore only consider what happens at a finite distance from the root. The second result concerns the limit of the rescaled height processes of an infinite Galton-Watson forest. We are going to consider sequences of trees where the branches are scaled by some factor so that all the vertices remain at finite distance from the root. Due to the scaling, the branches have infinitesimal length. These scaling limits lead to the so-called continuous random trees.

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Keywords

Classificació AMS::60 Probability theory and stochastic processes::60G Stochastic processes, Galton-Watson process, Kesten's tree, Random trees, Processos estocàstics, Discrete trees, :60 Probability theory and stochastic processes::60G Stochastic processes [Classificació AMS], Height process, Continuous random trees, Stochastic processes, :Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, Brownian motion, Local convergence of random trees, Reflected Brownian motion

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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