Distributions of points and large convex hulls of k points

  • Authors:
  • Hanno Lefmann

  • Affiliations:
  • Fakultät für Informatik, TU Chemnitz, Chemnitz, Germany

  • Venue:
  • AAIM'06 Proceedings of the Second international conference on Algorithmic Aspects in Information and Management
  • Year:
  • 2006

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Abstract

We consider a variant of Heilbronn's triangle problem by asking for fixed integers d,k ≥2 and any integer n ≥k for a distribution of n points in the d-dimensional unit cube [0,1]d such that the minimum volume of the convex hull of k points among these n points is as large as possible. We show that there exists a configuration of n points in [0,1]d, such that, simultaneously for j = 2, ..., k, the volume of the convex hull of any j points among these n points is Ω( 1/n(j−−1)/(1+|d−−j+1|)). Moreover, for fixed k ≥d+1 we provide a deterministic polynomial time algorithm, which finds for any integer n ≥k a configuration of n points in [0,1]d, which achieves, simultaneously for j = d+1, ..., k, the lower bound Ω( 1/n(j−−1)/(1+|d−−j+1|)) on the minimum volume of the convex hull of any j among the n points.