On lower bounds of the density of planar periodic sets without unit distances
Alexander Tolmachev
TL;DR
The paper investigates the maximal density $m_1(\mathbb{R}^2)$ of planar 1-avoiding sets by restricting to planar sets that are periodic with respect to two non-collinear vectors and reformulating the problem as a maximum independent set (MIS) problem on graphs defined on a flat torus. It introduces a hexagonal partition of a perfectly periodic flat torus $T_{l_1,l_2,\alpha}$ and constructs corresponding graphs whose independent sets yield lower bounds $m_1(\mathbb{R}^2) \ge |M|/(nm)$. Across a spectrum of torus parameters and MIS solvers, the best results align with Croft's long-standing construction, with lower bounds around $0.22936$ not being improved within the tested regime; KaMIS typically provides the strongest MIS, while neural methods offer competitive performance in some regimes but face scaling challenges. The work demonstrates the viability of MIS-based periodic searches for $m_1(\mathbb{R}^2)$ and provides open-source tools and benchmarks for related geometric-graph problems.
Abstract
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.
