Random Polygons and Optimal Extrapolation Estimates of pi

Shasha Wang, Wen-Qing Xu, Jitao Liu
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Abstract

We construct optimal extrapolation estimates of π based on random polygons generated by n independent points uniformly distributed on a unit circle in R2. While the semiperimeters and areas of these random n-gons converge to π almost surely and are asymptotically normal as n → ∞, in this paper we develop various extrapolation processes to further accelerate such convergence. By simultaneously considering the random n-gons and suitably constructed random 2n-gons and then optimizing over functionals of the semiperimeters and areas of these random polygons, we derive several new estimates of π with faster convergence rates. These extrapolation improvements are also shown to be asymptotically normal as n → ∞.
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随机多边形和圆周率的最佳外推估计
基于均匀分布在R2中单位圆上的n个独立点生成的随机多边形,构造了π的最优外推估计。由于这些随机n-gon的半周长和面积几乎肯定收敛于π,并且随着n→∞渐近正态化,本文发展了各种外推过程来进一步加速这种收敛。通过同时考虑随机n-多边形和适当构造的随机2n-多边形,然后对这些随机多边形的半周长和面积的泛函进行优化,我们得到了几个收敛速度更快的π的新估计。这些外推改进也被证明是渐近正态的n→∞。
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