On self-similar random quotients of the line

A surprisingly wide variety of important random fractal metric spaces in modern probability theory can be viewed as self-similar random quotients of the real line, including the continuum random tree, Liouville quantum gravity surfaces, the trace of Brownian motion in $\mathbb{R}^d$, and self-similar ($s=2d$) long-range percolation on $\mathbb{R}$. We prove that the metric and resistance growth dimensions are well-defined in a certain sense for every random metric space in a class containing all of the above examples. Our results are new for the trace of Brownian motion.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-29
DOI
https://doi.org/10.48550/arxiv.2610.39953
Primary Topic
Stochastic processes and statistical mechanics
Type
preprint
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preprint

On self-similar random quotients of the line

Johannes Bäumler, Tom Hutchcroft
arXiv (Cornell University)
Stochastic processes and statistical mechanics
preprint

On self-similar random quotients of the line

Johannes Bäumler, Tom Hutchcroft
preprint en

Abstract

A surprisingly wide variety of important random fractal metric spaces in modern probability theory can be viewed as self-similar random quotients of the real line, including the continuum random tree, Liouville quantum gravity surfaces, the trace of Brownian motion in $\mathbb{R}^d$, and self-similar ($s=2d$) long-range percolation on $\mathbb{R}$. We prove that the metric and resistance growth dimensions are well-defined in a certain sense for every random metric space in a class containing all of the above examples. Our results are new for the trace of Brownian motion.

arXiv (Cornell University)
Stochastic processes and statistical mechanics
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On self-similar random quotients of the line — Johannes Bäumler, Tom Hutchcroft · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS