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arXiv 1803.08484math.MGmath.PR
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d维欧氏单位球(0<n<d+1)中n+1个随机点集的外接球

Circumspheres of sets of n+1 random points in the d-dimensional Euclidean unit ball (0<n<d+1)

Gérard Le Caër

摘要:

在d维欧几里得空间中,任何均匀分布在圆心为O的单位球内部的n+1个独立随机点的集合几乎必然确定圆心为C、半径为R的外接球,其中n为正且小于d+1,当n为正且小于d时,n为平坦的。O在n平面上的投影称为O '。焦点设置在包含在这个单位球中的外接球上。对于任意大于1的d和任意小于d的正n,距离D = O 'C和R的联合密度函数有一个简单的封闭形式表达式。它们的边际密度函数都是幂和高斯超几何函数的乘积。D和R的随机表示表示为两个独立β随机变量的几何平均值。对于n等于d,正的,D和R具有狄利克雷分布,而D和R均为贝塔分布。Monte-Carlo模拟结果与计算结果吻合得很好

英文摘要:

In the d dimensional Euclidean space, any set of n+1 independent random points, uniformly distributed in the interior of a unit ball of center O, determines almost surely a circumsphere of center C and of radius R, with n positive and less than d+1, and a n flat when n is positive and less than d. The projection of O on the n flat is named O'. The focus is set on circumspheres which are contained in this unit ball. For any d larger than 1 and any n positive and less than d, the joint probability density function of the distance D = O'C and of R has a simple closed form expression. Their marginal probability density functions are both products of powers and of a Gauss hypergeometric function. Stochastic representations of D and R are expressed as geometric means of two independent beta random variables. For n equal to d, positive, D and R have a Dirichlet distribution while D and R are each beta distributed. Results of Monte-Carlo simulations are in very good agreement with their calculated counterparts

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