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MULTIFRACTAL DIMENSIONS FOR BRANCHED GROWTH

机译:分形增长的多分形维数

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A recently proposed theory for diffusion-limited aggregation (DLA), which models this system as a random branched growth process, is reviewed. Like DLA, this process is stochastic, and ensemble averaging is needed in order to define multifractal dimensions. In an earlier work by Halsey and Leibig, annealed average dimensions were computed for this model. In this paper, we compute the quenched average dimensions, which are expected to apply to typical members of the ensemble. We develop a perturbative expansion for the average of the logarithm of the multifractal partition function; the leading and subleading divergent terms in this expansion are then resummed to all orders. The result is that in the limit where the number of particles n --> infinity, the quenched and annealed dimensions are identical; however, the attainment of this limit requires enormous values of n. At smaller, more realistic values of n, the apparent quenched dimensions differ from the annealed dimensions. We interpret these results to mean that while multifractality as an ensemble property of random branched growth (and hence of DLA) is quite robust, it subtly fails for typical members of the ensemble. [References: 46]
机译:审查了最近提出的扩散受限聚集(DLA)理论,该理论将该系统建模为随机分支生长过程。像DLA一样,此过程是随机的,需要集成平均以定义多重分形维数。在Halsey和Leibig的早期工作中,对该模型计算了退火后的平均尺寸。在本文中,我们计算了淬火平均尺寸,该尺寸预计将应用于典型的整体成员。我们为多重分形分配函数的对数的平均值开发了一个摄动展开;然后将此扩展中的领导和次领导分歧条款恢复为所有订单。结果是,在n->无穷大的粒子数的极限中,淬火和退火后的尺寸相同;但是,要达到此极限,则需要巨大的n值。在较小,更实际的n值下,表观淬火尺寸与退火尺寸不同。我们将这些结果解释为意味着,虽然多重分形作为随机分支增长(因此是DLA)的合奏特性是非常可靠的,但对于合奏的典型成员而言,它却微不足道。 [参考:46]

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