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The Power Laws of Geodesics in Some Random Sets with Dilute Concentration of Inclusions

机译:几种随机凝固含量稀释浓度的随机浓度

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A method for computing upper-bounds on the length of geodesics spanning random sets in 2D and 3D is proposed, with emphasis on Boolean models containing a vanishingly small surface or volume fraction of inclusions f 1. The distance function is zero inside the grains and equal to the Euclidean distance outside of them, and the geodesics are shortest paths connecting two points far from each other. The asymptotic behavior of the upper-bounds is derived in the limit f → 0. The scalings involve powerlaws with fractional exponents ~f~(2/3) for Boolean sets of disks or aligned squares and ~f~(1/2) for the Boolean set of spheres. These results are extended to models of hyperspheres in arbitrary dimension and, in 2D and 3D, to a more general problem where the distance function is non-zero in the inclusions. Finally, other fractional exponents are derived for the geodesics spanning multiscale Boolean sets, based on inhomogeneous Poisson point processes, in 2D and 3D.
机译:提出了一种用于计算2D和3D随机组的大量测量率的上限的方法,强调包含缺失的小表面或体积分数F 1的距离函数在谷物内为零等于它们之外的欧几里德距离,并且测力学是连接两个点彼此的最短路径。上限的渐近行为是在极限f→0中导出的缩放涉及带有分数指数的Powerlaws〜F〜(2/3),用于布尔圆盘或对齐的正方形和〜f〜(1/2)布尔的球形组。这些结果延伸到任意尺寸的超球的模型,并且在2D和3D中,在夹杂物中距离函数是非零的更一般的问题。最后,基于2D和3D的不均匀泊松点过程,导出了跨越多尺度布尔集的测地仪的其他分数指数。

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