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Analytical estimation of the correlation dimension of integer lattices

机译:整数格的相关维的解析估计

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摘要

Recently [L. Lacasa and J. Gomez-Gardenes, Phys. Rev. Lett. 110, 168703 (2013)], a fractal dimension has been proposed to characterize the geometric structure of networks. This measure is an extension to graphs of the so called correlation dimension, originally proposed by Grassberger and Procaccia to describe the geometry of strange attractors in dissipative chaotic systems. The calculation of the correlation dimension of a graph is based on the local information retrieved from a random walker navigating the network. In this contribution, we study such quantity for some limiting synthetic spatial networks and obtain analytical results on agreement with the previously reported numerics. In particular, we show that up to first order, the correlation dimension beta of integer lattices Z(d) coincides with the Haussdorf dimension of their coarsely equivalent Euclidean spaces, beta = d. (C) 2014 AIP Publishing LLC.
机译:最近[L. Lacasa和J. Gomez-Gardenes,物理学。莱特牧师110,168703(2013)],提出了一种分形维数来表征网络的几何结构。该度量是对所谓相关维图的扩展,该维数最初是由Grassberger和Procaccia提出的,用于描述耗散混沌系统中奇异吸引子的几何形状。图的相关维的计算基于从在网络中导航的随机步行者检索到的本地信息。在这项贡献中,我们研究了一些有限的合成空间网络的数量,并获得了与先前报道的数值一致的分析结果。特别地,我们表明,直到一阶,整数格Z(d)的相关维数β与其粗略等效的欧几里得空间的Haussdorf维数一致,即β= d。 (C)2014 AIP Publishing LLC。

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