Lower bounds for weak epsilon-nets and stair-convexity

Boris Bukh, Jiří Matoušek, Gabriel Nivasch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

A set N ⊂ ℝd is called a weak ε-net (with respect to convex sets) for a finite X ⊂ ℝd if N intersects every convex set C with |X ∩ C| ≥ ε|X|. For every fixed d ≥ 2 and every r ≥ 1 we construct sets X ⊂ ℝd for which every weak 1/r-net has at least Ω (r logd-1 r) points; this is the first superlinear lower bound for weak ε-nets in a fixed dimension. The construction is a stretched grid, i.e., the Cartesian product of d suitable fast-growing finite sequences, and convexity in this grid can be analyzed using stair-convexity, a new variant of the usual notion of convexity. We also consider weak ε-nets for the diagonal of our stretched grid in R d, d ≥ 3, which is an "intrinsically 1- dimensional" point set. In this case we exhibit slightly superlinear lower bounds (involving the inverse Ackermann function), showing that the upper bounds by Alon et al. (2008) are not far from the truth in the worst case. Using the stretched grid we also improve the known upper bound for the so-called second selection lemma in the plane by a logarithmic factor: We obtain a set T of t triangles with vertices in an n-point set in the plane such that no point is contained in more than O ( t2/(n3 log n3 t )) triangles of T.

Original languageEnglish
Title of host publicationProceedings of the 25th Annual Symposium on Computational Geometry, SCG'09
Pages1-10
Number of pages10
DOIs
StatePublished - Jun 2009
Externally publishedYes
Event25th Annual Symposium on Computational Geometry, SCG'09 - Aarhus, Denmark
Duration: 8 Jun 200910 Jun 2009

Publication series

NameProceedings of the Annual Symposium on Computational Geometry

Conference

Conference25th Annual Symposium on Computational Geometry, SCG'09
Country/TerritoryDenmark
CityAarhus
Period8/06/0910/06/09

Keywords

  • Inverse ackermann function
  • Selection lemma
  • Stair-convexity
  • Weak epsilon-net

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