arXiv:2411.13248math.MGcs.LG2024-11

用图论方法重新评估平面上无单位距离点集的密度下界。

On lower bounds of the density of planar periodic sets without unit distances

  • 将问题转化为平面上环面图的最大独立集求解。
  • 实验表明现有下界0.22936未被突破,最优解逼近克罗夫特构造。
  • 开源工具对比验证了方法可行性,适合组合几何研究者参考。

确定平面上无单位距离点集的最大密度 $m_1(bR^2)$ 是组合几何中的基础问题。本文通过将问题重构为基于平面环面构造的图上的最大独立集(MIS)问题,研究该量的下界。考虑相对于两个非共线向量的周期性点集,提出一种新方法。实验结果结合理论支持表明,在足够广泛的参数范围内,该方法未能改进已知下界 $0.22936 \le m_1(bR^2)$。找到的最佳离散点集近似于克罗夫特(Croft)的构造。同时,对多种用于求解MIS问题的开源软件包进行了比较。

原文摘要 · Abstract (English)

Determining the maximal density $m_1(\mathbb{R}^2)$ of planar sets without unit distances is a fundamental problem in combinatorial geometry. This paper investigates lower bounds for this quantity. We introduce a novel approach to estimating $m_1(\mathbb{R}^2)$ by reformulating the problem as a Maximal Independent Set (MIS) problem on graphs constructed from flat torus, focusing on periodic sets with respect to two non-collinear vectors. Our experimental results, supported by theoretical justifications of proposed method, demonstrate that for a sufficiently wide range of parameters this approach does not improve the known lower bound $0.22936 \le m_1(\mathbb{R}^2)$. The best discrete sets found are approximations of Croft's construction. In addition, several open source software packages for MIS problem are compared on this task.

组合几何点集密度图论最大独立集

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