English

Minimal Convex Decompositions

Computational Geometry 2012-07-19 v1 Combinatorics Metric Geometry

Abstract

Let PP be a set of nn points on the plane in general position. We say that a set Γ\Gamma of convex polygons with vertices in PP is a convex decomposition of PP if: Union of all elements in Γ\Gamma is the convex hull of P,P, every element in Γ\Gamma is empty, and for any two different elements of Γ\Gamma their interiors are disjoint. A minimal convex decomposition of PP is a convex decomposition Γ\Gamma' such that for any two adjacent elements in Γ\Gamma' its union is a non convex polygon. It is known that PP always has a minimal convex decomposition with at most 3n2\frac{3n}{2} elements. Here we prove that PP always has a minimal convex decomposition with at most 10n7\frac{10n}{7} elements.

Keywords

Cite

@article{arxiv.1207.3468,
  title  = {Minimal Convex Decompositions},
  author = {Mario Lomeli-Haro},
  journal= {arXiv preprint arXiv:1207.3468},
  year   = {2012}
}
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