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阿尔茨海默病随机游走模型:两种先前被忽视的扩散机制。

Alzheimer random walk model: two previously overlooked diffusion regimes.

作者信息

Cressoni J C, Viswanathan G M, Ferreira A S, da Silva M A A

机构信息

Departamento de Física e Química, FCFRP, Universidade de São Paulo, 14040-903 Ribeirão Preto, SP, Brazil.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Oct;86(4 Pt 1):042101. doi: 10.1103/PhysRevE.86.042101. Epub 2012 Oct 2.

DOI:10.1103/PhysRevE.86.042101
PMID:23214629
Abstract

A non-Markovian one-dimensional random walk model is studied with emphasis on the phase-diagram, showing all the diffusion regimes, along with the exactly determined critical lines. The model, known as the Alzheimer walk, is endowed with memory-controlled diffusion, responsible for the model's long-range correlations, and is characterized by a rich variety of diffusive regimes. The importance of this model is that superdiffusion arises due not to memory per se, but rather also due to loss of memory. The recently reported numerically and analytically estimated values for the Hurst exponent are hereby reviewed. We report the finding of two, previously overlooked, phases, namely, evanescent log-periodic diffusion and log-periodic diffusion with escape, both with Hurst exponent H=1/2. In the former, the log-periodicity gets damped, whereas in the latter the first moment diverges. These phases further enrich the already intricate phase diagram. The results are discussed in the context of phase transitions, aging phenomena, and symmetry breaking.

摘要

研究了一种非马尔可夫一维随机游走模型,重点关注相图,该相图展示了所有的扩散区域以及精确确定的临界线。这个被称为阿尔茨海默游走的模型具有记忆控制的扩散,这导致了模型的长程相关性,并且其特征是具有丰富多样的扩散区域。该模型的重要性在于,超扩散的出现不仅归因于记忆本身,还归因于记忆的丧失。在此回顾了最近通过数值和解析方法估计的赫斯特指数值。我们报告发现了两个先前被忽视的相,即瞬逝对数周期扩散和带逃逸的对数周期扩散,两者的赫斯特指数均为H = 1/2。在前者中,对数周期性被衰减,而在后者中,一阶矩发散。这些相进一步丰富了本就复杂的相图。在相变、老化现象和对称性破缺的背景下对结果进行了讨论。

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