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Randomness at the root of things 2: Poisson sequences

机译:事物根本的随机性2:泊松序列

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This article is the second of a pair of articles about randomness in physics. In the preceding article we have shown how simple random walk arguments can give the mean and standard deviation of a number of random counts. In this article we go a little deeper, and offer a simple and novel teaching approach to the idea of random events. Taking the Poisson sequences as fundamental, very simple arguments show that the time intervals between random events are distributed exponentially. The mathematics needed is merely the familiar mathematics of exponential change, making a good opportunity for revision. Further arguments give the form of the Poisson distribution, on the basis of very elementary assumptions. Several interesting experiments are suggested.
机译:本文是有关物理学中随机性的两篇文章中的第二篇。在上一篇文章中,我们展示了简单的随机游走参数如何能够给出许多随机计数的均值和标准差。在本文中,我们更深入地介绍了随机事件的概念,并提供了一种简单新颖的教学方法。以泊松序列为基础,非常简单的论据表明,随机事件之间的时间间隔呈指数分布。所需的数学仅仅是指数变化的熟悉数学,从而为进行修订提供了很好的机会。在非常基础的假设的基础上,进一步的论证给出了泊松分布的形式。建议进行一些有趣的实验。

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