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Anomalous dimensionality dependence of diffusion in a rugged energy landscape: How pathological is one dimension?

机译:崎energy不平的能源格局中扩散的反常维数依赖性:一个维的病理性如何?

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Diffusion in one dimensional rugged energy landscape (REL) is predicted to be pathologically different (from any higher dimension) with a much larger chance of encountering broken ergodicity [D. L. Stein and C. M. Newman, AIP Conf. Proc. 1479, 620 (2012)]. However, no quantitative study of this difference has been reported, despite the prevalence of multidimensional physical models in the literature (like a high dimensional funnel guiding protein folding/unfolding). Paradoxically, some theoretical studies of these phenomena still employ a one dimensional diffusion description for analytical tractability. We explore the dimensionality dependent diffusion on REL by carrying out an effective medium approximation based analytical calculations and compare them with the available computer simulation results. We find that at an intermediate level of ruggedness (assumed to have a Gaussian distribution), where diffusion is well-defined, the value of the effective diffusion coefficient depends on dimensionality and changes (increases) by several factors (similar to 5-10) in going from 1d to 2d. In contrast, the changes in subsequent transitions (like 2d to 3d and 3d to 4d and so on) are far more modest, of the order of 10-20% only. When ruggedness is given by random traps with an exponential distribution of barrier heights, the mean square displacement (MSD) is sub-diffusive (a well-known result), but the growth of MSD is described by different exponents in one and higher dimensions. The reason for such strong ruggedness induced retardation in the case of one dimensional REL is discussed. We also discuss the special limiting case of infinite dimension (d = infinity) where the effective medium approximation becomes exact and where theoretical results become simple. We discuss, for the first time, the role of spatial correlation in the landscape on diffusion of a random walker. Published by AIP Publishing.
机译:一维崎energy不平的能量景观(REL)中的扩散预计在病理学上是不同的(与任何更高维度相比),并且遇到破碎的遍历性的可能性更大[D. L. Stein和C. M. Newman,AIP Conf。进程1479,620(2012)]。然而,尽管文献中普遍存在多维物理模型(如指导蛋白质折叠/展开的高维漏斗),但尚未对这种差异进行定量研究。矛盾的是,对这些现象的一些理论研究仍采用一维扩散描述来进行分析处理。通过进行有效的基于介质近似的解析计算,我们探索了REL的维数相关扩散,并将其与可用的计算机仿真结果进行了比较。我们发现,在中等强度的坚固性(假定具有高斯分布)的情况下,扩散得到了明确定义,有效扩散系数的值取决于尺寸,并且由多个因素(类似于5-10)变化(增加)。从1d到2d。相反,后续过渡(如2d到3d和3d到4d等)中的变化要小得多,仅为10%到20%。当通过势垒高度呈指数分布的随机陷阱给出坚固性时,均方位移(MSD)是次扩散的(众所周知的结果),但是MSD的增长由一个或更高维度上的不同指数来描述。讨论了在一维REL情况下产生如此强的坚固性导致延迟的原因。我们还讨论了无穷维(d =无穷大)的特殊极限情况,其中有效的介质近似变得精确而理论结果变得简单。我们首次讨论了空间相关性在景观中对随机游走者扩散的作用。由AIP Publishing发布。

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