Hidden low-discrepancy structures in random point sets

Fuente: arXiv
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Auteurs principaux: Suzuki, Kohei, Goda, Takashi
Format: Preprint
Publié: 2025
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author Suzuki, Kohei
Goda, Takashi
author_facet Suzuki, Kohei
Goda, Takashi
contents We study the probabilistic existence of point configurations satisfying the $(0, m, d)$-net property in base $b$ within a randomly generated point set of size $N$ in the $d$-dimensional unit cube. We first derive an upper bound on the number of geometric patterns for $(0, m, d)$-nets in base $b$. By applying the elementary probability bounds together with this counting result, we then give scaling conditions on $N$ as a function of $m$ such that this probability converges to $1$ and $0$, respectively.
format Preprint
id arxiv_https___arxiv_org_abs_2512_15007
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Hidden low-discrepancy structures in random point sets
Suzuki, Kohei
Goda, Takashi
Combinatorics
We study the probabilistic existence of point configurations satisfying the $(0, m, d)$-net property in base $b$ within a randomly generated point set of size $N$ in the $d$-dimensional unit cube. We first derive an upper bound on the number of geometric patterns for $(0, m, d)$-nets in base $b$. By applying the elementary probability bounds together with this counting result, we then give scaling conditions on $N$ as a function of $m$ such that this probability converges to $1$ and $0$, respectively.
title Hidden low-discrepancy structures in random point sets
topic Combinatorics
url https://arxiv.org/abs/2512.15007