Saved in:
Bibliographic Details
Main Authors: Castro, Alicia, Tanasa, Adrian
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.04519
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866911252945567744
author Castro, Alicia
Tanasa, Adrian
author_facet Castro, Alicia
Tanasa, Adrian
contents We implement numerical techniques to simulate D-random feuilletages, candidates for higher-dimensional random geometries introduced in L. Lionni and J.-F. Marckert, Math. Phys. Anal. Geom. 24 (2021) 39. Using finite-size scaling techniques, our approach allows to give a numerical estimation of the Hausdorff dimension $d_H$ of these feuilletages. The results obtained are compatible with the formal result known for the Brownian map, which corresponds to the D=2 random feuilletage. For the D=3 case, our numerical study finds a good agreement with the conjectured value $d_H=8$.
format Preprint
id arxiv_https___arxiv_org_abs_2511_04519
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Numerical estimation of the Hausdorff dimension of D-random feuilletages
Castro, Alicia
Tanasa, Adrian
Mathematical Physics
High Energy Physics - Theory
Combinatorics
We implement numerical techniques to simulate D-random feuilletages, candidates for higher-dimensional random geometries introduced in L. Lionni and J.-F. Marckert, Math. Phys. Anal. Geom. 24 (2021) 39. Using finite-size scaling techniques, our approach allows to give a numerical estimation of the Hausdorff dimension $d_H$ of these feuilletages. The results obtained are compatible with the formal result known for the Brownian map, which corresponds to the D=2 random feuilletage. For the D=3 case, our numerical study finds a good agreement with the conjectured value $d_H=8$.
title Numerical estimation of the Hausdorff dimension of D-random feuilletages
topic Mathematical Physics
High Energy Physics - Theory
Combinatorics
url https://arxiv.org/abs/2511.04519