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PreprintarXiv licencearXiv

On self-similar random quotients of the line

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 ℝd, and self-similar (s=2d) long-range percolation on 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.

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BibTeX
@misc{baumler2026selfsimilar,
  title = {{On self-similar random quotients of the line}},
  author = {Johannes Bäumler and Tom Hutchcroft},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.39953},
  eprint = {2610.39953},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.39953},
}
RIS
TY  - UNPB
TI  - On self-similar random quotients of the line
AU  - Johannes Bäumler
AU  - Tom Hutchcroft
PY  - 2026
DA  - 2026/10/29
PB  - arXiv
DO  - 10.48550/arxiv.2610.39953
UR  - https://arxiv.org/abs/2610.39953
AB  - 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 ℝ^d, and self-similar (s=2d) long-range percolation on 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.
ER  -