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arxiv: math/9902043 · v5 · submitted 1999-02-05 · 🧮 math.CO · cs.CG· cs.DM· math.LO· math.MG· math.PR

The Average-Case Area of Heilbronn-Type Triangles

classification 🧮 math.CO cs.CGcs.DMmath.LOmath.MGmath.PR
keywords areapointsaverage-casechosensmallesttriangletrianglesactually
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From among $ {n \choose 3}$ triangles with vertices chosen from $n$ points in the unit square, let $T$ be the one with the smallest area, and let $A$ be the area of $T$. Heilbronn's triangle problem asks for the maximum value assumed by $A$ over all choices of $n$ points. We consider the average-case: If the $n$ points are chosen independently and at random (with a uniform distribution), then there exist positive constants $c$ and $C$ such that $c/n^3 < \mu_n < C/n^3$ for all large enough values of $n$, where $\mu_n$ is the expectation of $A$. Moreover, $c/n^3 < A < C/n^3$, with probability close to one. Our proof uses the incompressibility method based on Kolmogorov complexity; it actually determines the area of the smallest triangle for an arrangement in ``general position.''

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