Rotating random trees with Skorokhod's $M_1$ topology

Fuente: arXiv
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Autore principale: Aurillard, Antoine
Natura: Preprint
Pubblicazione: 2024
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author Aurillard, Antoine
author_facet Aurillard, Antoine
contents We extend the classical coding of measured $\mathbb R$-trees by continuous excursion-type functions to càdlàg excursion-type functions through the notion of parametric representations. The main feature of this extension is its continuity properties with respect to the Gromov-Hausdorff-Prokhorov topology for $\mathbb R$-trees and Skorokhod's $M_1$ topology for càdlàg functions. As a first application, we study the $\mathbb R$-trees $\mathcal T_{x^{(α)}}$ encoded by excursions of spectrally positive $α$-stable Lévy processes for $α\in (1,2]$. In a second time, we use this setting to study the large-scale effects of a well-known bijection between plane trees and binary trees, the so-called rotation. Marckert has proved that the rotation acts as a dilation on large uniform trees, and we show that this remains true when the rotation is applied to large critical Bienaymé trees with offspring distribution attracted to a Gaussian distribution. However, this does not hold anymore when the offspring distribution falls in the domain of attraction of an $α$-stable law with $α\in (1,2)$, and instead we prove that the scaling limit of the rotated trees is $\mathcal T_{x^{(α)}}$.
format Preprint
id arxiv_https___arxiv_org_abs_2412_12023
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Rotating random trees with Skorokhod's $M_1$ topology
Aurillard, Antoine
Probability
We extend the classical coding of measured $\mathbb R$-trees by continuous excursion-type functions to càdlàg excursion-type functions through the notion of parametric representations. The main feature of this extension is its continuity properties with respect to the Gromov-Hausdorff-Prokhorov topology for $\mathbb R$-trees and Skorokhod's $M_1$ topology for càdlàg functions. As a first application, we study the $\mathbb R$-trees $\mathcal T_{x^{(α)}}$ encoded by excursions of spectrally positive $α$-stable Lévy processes for $α\in (1,2]$. In a second time, we use this setting to study the large-scale effects of a well-known bijection between plane trees and binary trees, the so-called rotation. Marckert has proved that the rotation acts as a dilation on large uniform trees, and we show that this remains true when the rotation is applied to large critical Bienaymé trees with offspring distribution attracted to a Gaussian distribution. However, this does not hold anymore when the offspring distribution falls in the domain of attraction of an $α$-stable law with $α\in (1,2)$, and instead we prove that the scaling limit of the rotated trees is $\mathcal T_{x^{(α)}}$.
title Rotating random trees with Skorokhod's $M_1$ topology
topic Probability
url https://arxiv.org/abs/2412.12023