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Random walks on a fractal solid

机译:随机在分形固体上行走

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It is established that the trapping of a random walker undergoing unbiased, nearest-neighbor displacements on a triangular lattice of Euclidean dimension d = 2 is more efficient (i.e., the mean walklength before trapping of the random walker is shorter) than on a fractal set, the Sierpinski tower, which has a Hausdorff dimension D exactly equal to the Euclidean dimension of the regular lattice. We also explore whether the self similarity in the geometrical structure of the Sierpinski lattice translates into a "self similarity" in diffusional flows, and find that expressions for having a common analytic form can be obtained for sites that are the first- and second-nearest-neighbors to a vertex trap. [References: 17]
机译:可以确定,在欧氏尺寸d = 2的三角晶格上进行无偏,最近邻位移的随机助行器的诱捕比在随机助行器上的诱捕更有效(即,平均行进长度较短)。分形集Sierpinski塔,其Hausdorff尺寸D正好等于规则晶格的欧几里得尺寸。我们还探索了Sierpinski晶格的几何结构中的自相似性在扩散流中是否转化为“自相似性”,并发现对于具有第一和第二位的位点,可以得到具有共同解析形式的表达式。顶点陷阱的第二近邻。 [参考:17]

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