Brownian continuum random tree conditioned to be large

Fuente: arXiv
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Main Authors: Abraham, Romain, Delmas, Jean-Franç Ois, He, Hui
Format: Preprint
Published: 2022
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author Abraham, Romain
Delmas, Jean-Franç Ois
He, Hui
author_facet Abraham, Romain
Delmas, Jean-Franç Ois
He, Hui
contents We consider a Feller diffusion (Zs, s $\ge$ 0) (with diffusion coefficient $\sqrt$ 2$β$ and drift $θ$ $\in$ R) that we condition on {Zt = at}, where at is a deterministic function, and we study the limit in distribution of the conditioned process and of its genealogical tree as t $\rightarrow$ +$\infty$. When at does not increase too rapidly, we recover the standard size-biased process (and the associated genealogical tree given by the Kesten's tree). When at behaves as $α$$β$ 2 t 2 when $θ$ = 0 or as $α$ e 2$β$|$θ$|t when $θ$ = 0, we obtain a new process whose distribution is described by a Girsanov transformation and equivalently by a SDE with a Poissonian immigration. Its associated genealogical tree is described by an infinite discrete skeleton (which does not satisfy the branching property) decorated with Brownian continuum random trees given by a Poisson point measure. As a by-product of this study, we introduce several sets of trees endowed with a Gromovtype distance which are of independent interest and which allow here to define in a formal and measurable way the decoration of a backbone with a family of continuum random trees.
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institution arXiv
publishDate 2022
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spellingShingle Brownian continuum random tree conditioned to be large
Abraham, Romain
Delmas, Jean-Franç Ois
He, Hui
Probability
We consider a Feller diffusion (Zs, s $\ge$ 0) (with diffusion coefficient $\sqrt$ 2$β$ and drift $θ$ $\in$ R) that we condition on {Zt = at}, where at is a deterministic function, and we study the limit in distribution of the conditioned process and of its genealogical tree as t $\rightarrow$ +$\infty$. When at does not increase too rapidly, we recover the standard size-biased process (and the associated genealogical tree given by the Kesten's tree). When at behaves as $α$$β$ 2 t 2 when $θ$ = 0 or as $α$ e 2$β$|$θ$|t when $θ$ = 0, we obtain a new process whose distribution is described by a Girsanov transformation and equivalently by a SDE with a Poissonian immigration. Its associated genealogical tree is described by an infinite discrete skeleton (which does not satisfy the branching property) decorated with Brownian continuum random trees given by a Poisson point measure. As a by-product of this study, we introduce several sets of trees endowed with a Gromovtype distance which are of independent interest and which allow here to define in a formal and measurable way the decoration of a backbone with a family of continuum random trees.
title Brownian continuum random tree conditioned to be large
topic Probability
url https://arxiv.org/abs/2202.10258