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On the Boolean Model of Wiener Sausages

机译:关于维纳香肠的布尔模型

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摘要

The Boolean model of Wiener sausages is a random closed set that can be thought of as a random collection of parallel neighborhoods of independent Wiener paths in space. It describes e.g. the target detection area of a network of sensors moving according to the Brownian dynamics whose initial locations are chosen in the medium at random. In the paper, the capacity functional of this Boolean model is given. Moreover, the one- and two-point coverage probabilities as well as the contact distribution function and the specific surface area are studied. In $mathbb{R}^2$ and $mathbb{R}^3$ , the one- and two-point coverage probabilities are calculated numerically by Monte Carlo simulations and as a solution of the heat conduction problem. The corresponding approximation formulae are given and the error of approximation is analyzed.
机译:维纳香肠的布尔模型是一个随机封闭集,可以将其视为空间中独立维纳路径的平行邻域的随机集合。它描述了根据布朗动力学运动的传感器网络的目标检测区域,其初始位置是在介质中随机选择的。在本文中,给出了该布尔模型的容量函数。此外,研究了一点和两点覆盖的概率以及接触分布函数和比表面积。在$ mathbb {R} ^ 2 $和$ mathbb {R} ^ 3 $中,通过蒙特卡洛模拟并作为热传导问题的解决方案,通过数值计算了一点和两点覆盖率。给出了相应的近似公式,并分析了近似误差。

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