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APS -2017 Fall Meeting of the APS New England Section- Event - Distribution independence of statistics of symmetric random walks: an intuitive proof

机译:APS -2017年APS新英格兰地区秋季会议-事件-对称随机游走的统计分布独立性:直观的证明

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Random walks on the real line are used to approximate diffuse light reflection, logarithm of stock prices, Brownian motion, and other stochastic processes. First passage statistics and time distribution of the order statistics of one-dimensional symmetric continuous random walks have important applications such as diffuse reflectance. These statistics are surprisingly independent ofthe step size distribution. Further, the statistics of finite walks constructed from permutations of a finite set of real step lengths are also independent of the set of lengths. Many of these independence results were known from the “fluctuation theory” of partial sums developed by Andersen, Baxter, Darling and others between 1940 and 1960. We present simple proofs of several fluctuation theory results by examining certain pairs of walks. Our approach reveals the mechanism behind these remarkable results and the ubiquity of combinatoric formulas and Catalan numbers even in the continuous case.
机译:实线上的随机游走用于近似散射光反射,股票价格的对数,布朗运动和其他随机过程。一维对称连续随机游动的初次通过统计和阶次统计的时间分布具有重要的应用,例如漫反射。这些统计令人惊讶地独立于步长分布。此外,由有限的一组实际步长组成的排列构成的有限步道的统计信息也与该组长度无关。从安德森,巴克斯特,达令等人在1940年至1960年间开发的部分和的“波动理论”中,可以了解许多独立性结果。我们通过考察某些行走对,给出了几种波动理论结果的简单证明。我们的方法揭示了这些惊人结果背后的机理,甚至在连续情况下,组合公式和加泰罗尼亚数的普遍性。

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