Percolation Critical Probability of Aperiodic Smith Hat tile(1, $\sqrt3$)

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Gao, Haitao, Bharadwaj, Aaryash
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866911616749010944
author Gao, Haitao
Bharadwaj, Aaryash
author_facet Gao, Haitao
Bharadwaj, Aaryash
contents The Smith Hat tile is the first known aperiodic monotile, having been discovered in 2023. The simple structure, constructed using only 8 kites, is unique and well motivated for analysis within percolation theory. The primary goal of this paper is to discover the critical threshold $p_c$ in both site and bond Bernoulli structures using Monte Carlo simulation for the Smith hat tile(1,$\sqrt3$). Our findings are site and bond values of $p_c^s = 0.822725 \pm 0.000044$ and $p_c^b = 0.798161 \pm 0.000044$ for edge percolation and $0.544247 \pm 0.000101$ for site percolation on the dual graph.
format Preprint
id arxiv_https___arxiv_org_abs_2604_21165
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Percolation Critical Probability of Aperiodic Smith Hat tile(1, $\sqrt3$)
Gao, Haitao
Bharadwaj, Aaryash
Statistical Mechanics
Data Analysis, Statistics and Probability
The Smith Hat tile is the first known aperiodic monotile, having been discovered in 2023. The simple structure, constructed using only 8 kites, is unique and well motivated for analysis within percolation theory. The primary goal of this paper is to discover the critical threshold $p_c$ in both site and bond Bernoulli structures using Monte Carlo simulation for the Smith hat tile(1,$\sqrt3$). Our findings are site and bond values of $p_c^s = 0.822725 \pm 0.000044$ and $p_c^b = 0.798161 \pm 0.000044$ for edge percolation and $0.544247 \pm 0.000101$ for site percolation on the dual graph.
title Percolation Critical Probability of Aperiodic Smith Hat tile(1, $\sqrt3$)
topic Statistical Mechanics
Data Analysis, Statistics and Probability
url https://arxiv.org/abs/2604.21165