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On the Hausdorff distance between a convex set and an interior random convex hull

机译:关于凸集与内部随机凸包之间的Hausdorff距离

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摘要

The problem of estimating an unknown compact convex set K in the plane, from a sample (X-1,...,X-n) of points independently and uniformly distributed over K, is considered. Let K-n be the convex hull of the sample, a be the Hausdorff distance, and Delta(n) := Delta(K, K-n). Under mild conditions, limit laws for Delta(n) are obtained. We find sequences (a(n)), (b(n)) such that (Delta(n) - b(n))/a(n) --> Lambda (n --> infinity), where Lambda is the Gumbel (double-exponential) law from extreme-value theory. As expected, the directions of maximum curvature play a decisive role. Our results apply, for instance, to discs and to the interiors of ellipses, although for eccentricity e < 1 the first case cannot be obtained from the second by continuity. The polygonal case is also considered. [References: 22]
机译:考虑了从独立且均匀地分布在K上的点的样本(X-1,...,X-n)估计平面中未知紧致凸集K的问题。设K-n为样本的凸包,a为Hausdorff距离,以及Delta(n):= Delta(K,K-n)。在温和的条件下,可获得Delta(n)的极限定律。我们找到序列(a(n)),(b(n))使得(Delta(n)-b(n))/ a(n)-> Lambda(n-> infinity),其中Lambda是极值理论的Gumbel(双指数)定律。不出所料,最大曲率方向起着决定性的作用。我们的结果适用于例如圆盘和椭圆形内部,尽管对于e <1的偏心率,无法通过连续性从第二种情况获得第一种情况。还考虑了多边形的情况。 [参考:22]

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