31 research outputs found

    The Average-Case Area of Heilbronn-Type Triangles

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    From among (n3) {n \choose 3} triangles with vertices chosen from nn points in the unit square, let TT be the one with the smallest area, and let AA be the area of TT. Heilbronn's triangle problem asks for the maximum value assumed by AA over all choices of nn points. We consider the average-case: If the nn points are chosen independently and at random (with a uniform distribution), then there exist positive constants cc and CC such that c/n3<μn<C/n3c/n^3 < \mu_n < C/n^3 for all large enough values of nn, where μn\mu_n is the expectation of AA. Moreover, c/n3<A<C/n3c/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.''Comment: 13 pages, LaTeX, 1 figure,Popular treatment in D. Mackenzie, On a roll, {\em New Scientist}, November 6, 1999, 44--4
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