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Improved upper bounds for the Heilbronn's Problem for $k$-gons

Rishikesh Gajjala, Jayanth Ravi

TL;DR

This work tackles the Heilbronn-type problem for $k$-gons by introducing a rectangle-based reduction and a recursive, pigeonhole-driven framework to bound the minimal $k$-gon area. The authors prove the sharp asymptotic upper bound $\Delta_4(n) \le \dfrac{2}{n} + o\left(\dfrac{1}{n}\right)$ and generalize to $\Delta_k(n) \le \dfrac{k-2}{n} + o\left(\dfrac{1}{n}\right)$ for all fixed $k\ge4$, extending the classic trivial bound $3/n$. Central to the approach is the auxiliary function $\Delta'_k(n)$ on unit rectangles, together with a recursive partitioning argument that preserves upper bounds while moving from $n$ to smaller subinstances. The results advance the understanding of discrete discrepancy-type problems and hold for arbitrary convex figures of unit area, with conjectures about tightness guided by grid-based lower bounds.

Abstract

The Heilbronn triangle problem asks for the placement of $n$ points in a unit square that maximizes the smallest area of a triangle formed by any three of those points. In $1972$, Schmidt considered a natural generalization of this problem. He asked for the placement of $n$ points in a unit square that maximizes the smallest area of the convex hull formed by any four of those points. He showed a lower bound of $Ω(n^{-3/2})$, which was improved to $Ω(n^{-3/2}\log{n})$ by Leffman. A trivial upper bound of $3/n$ could be obtained, and Schmidt asked if this could be improved asymptotically. However, despite several efforts, no asymptotic improvement over the trivial upper bound was known for the last $50$ years, and the problem started to get the tag of being notoriously hard. Szemer{é}di posed the question of whether one can, at least, improve the constant in this trivial upper bound. In this work, we answer this question by proving an upper bound of $2/n+o(1/n)$. We also extend our results to any convex hulls formed by $k\geq 4$ points.

Improved upper bounds for the Heilbronn's Problem for $k$-gons

TL;DR

This work tackles the Heilbronn-type problem for -gons by introducing a rectangle-based reduction and a recursive, pigeonhole-driven framework to bound the minimal -gon area. The authors prove the sharp asymptotic upper bound and generalize to for all fixed , extending the classic trivial bound . Central to the approach is the auxiliary function on unit rectangles, together with a recursive partitioning argument that preserves upper bounds while moving from to smaller subinstances. The results advance the understanding of discrete discrepancy-type problems and hold for arbitrary convex figures of unit area, with conjectures about tightness guided by grid-based lower bounds.

Abstract

The Heilbronn triangle problem asks for the placement of points in a unit square that maximizes the smallest area of a triangle formed by any three of those points. In , Schmidt considered a natural generalization of this problem. He asked for the placement of points in a unit square that maximizes the smallest area of the convex hull formed by any four of those points. He showed a lower bound of , which was improved to by Leffman. A trivial upper bound of could be obtained, and Schmidt asked if this could be improved asymptotically. However, despite several efforts, no asymptotic improvement over the trivial upper bound was known for the last years, and the problem started to get the tag of being notoriously hard. Szemer{é}di posed the question of whether one can, at least, improve the constant in this trivial upper bound. In this work, we answer this question by proving an upper bound of . We also extend our results to any convex hulls formed by points.
Paper Structure (4 sections, 9 theorems, 23 equations, 2 figures)

This paper contains 4 sections, 9 theorems, 23 equations, 2 figures.

Key Result

Theorem 2.1

$\Delta_4(n) \leq \dfrac{2}{n} + o\left(\dfrac{1}{n}\right)$

Figures (2)

  • Figure 3.1: $\Delta_4'(6)\geq 1/2$
  • Figure 3.2: $\Delta_4'(9)\geq 1/4$

Theorems & Definitions (11)

  • Theorem 2.1
  • Theorem 2.2
  • Corollary 3.3
  • Lemma 3.5
  • Theorem 3.6
  • Corollary 3.8
  • Conjecture 3.9
  • Proposition 4.1: Analogue of Observation \ref{['phpobs']}
  • Theorem 4.2: Analogue of Theorem \ref{['recurse_theorem']}
  • Corollary 4.4
  • ...and 1 more