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Blocking Delaunay triangulations
Oswin Aichholzer1, Ruy Fabila-Monroy, Thomas Hackl
1Institute for Software Technology, University of Technology, Graz, Austria.
Summary
Researchers determined the number of white points needed to block black points in Delaunay triangulations. Approximately n/2 white points suffice, with fewer needed for points in convex position, and at least n/4 are necessary.
Area of Science:
- Computational Geometry
- Combinatorial Geometry
- Geometric Graph Theory
Background:
- The problem involves understanding the structure of Delaunay triangulations.
- The concept of 'blocking' a set of points is introduced using Delaunay triangulation properties.
- General position and convex position are key configurations for the point sets.
Purpose of the Study:
- To establish bounds on the minimum number of white points required to block a set of black points in a Delaunay triangulation.
- To analyze how the configuration of black points (general vs. convex position) affects the blocking set size.
- To determine necessary and sufficient conditions for blocking a set of points.
Main Methods:
- Analysis of Delaunay triangulations of point sets in the plane.
- Combinatorial arguments to derive upper and lower bounds for the size of the blocking set.
- Consideration of specific point set configurations, including general and convex positions.
Main Results:
- Proved that approximately n/2 white points are always sufficient to block a set of n black points.
- Showed that for black points in convex position, approximately n/3 white points are sufficient.
- Established a lower bound, proving that at least n/4 white points are always necessary to block the set.
Conclusions:
- The study provides tight bounds for the size of the smallest blocking set in Delaunay triangulations.
- The results offer insights into the interplay between point set configurations and triangulation properties.
- This work contributes to the understanding of geometric covering and blocking problems.
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