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Quantifying non-ergodicity of anomalous diffusion with higher order moments

机译:量化具有高阶矩的异常扩散的非遍历性

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摘要

Anomalous diffusion is being discovered in a fast growing number of systems. The exact nature of this anomalous diffusion provides important information on the physical laws governing the studied system. One of the central properties analysed for finite particle motion time series is the intrinsic variability of the apparent diffusivity, typically quantified by the ergodicity breaking parameter EB. Here we demonstrate that frequently EB is insufficient to provide a meaningful measure for the observed variability of the data. Instead, important additional information is provided by the higher order moments entering by the skewness and kurtosis. We analyse these quantities for three popular anomalous diffusion models. In particular, we find that even for the Gaussian fractional Brownian motion a significant skewness in the results of physical measurements occurs and needs to be taken into account. Interestingly, the kurtosis and skewness may also provide sensitive estimates of the anomalous diffusion exponent underlying the data. We also derive a new result for the EB parameter of fractional Brownian motion valid for the whole range of the anomalous diffusion parameter. Our results are important for the analysis of anomalous diffusion but also provide new insights into the theory of anomalous stochastic processes.
机译:在数量迅速增长的系统中发现了异常扩散。这种异常扩散的确切性质为控制研究系统的物理定律提供了重要信息。分析有限粒子运动时间序列的中心特性之一是视在扩散率的固有变化,通常由遍历破坏性参数EB量化。在这里,我们证明,EB经常不足以为观察到的数据变异性提供有意义的度量。相反,通过偏度和峰度输入的高阶矩会提供重要的附加信息。我们分析了三种流行的异常扩散模型的数量。特别是,我们发现,即使对于高斯分数布朗运动,物理测量结果中也会出现明显的偏斜,并且需要将其考虑在内。有趣的是,峰度和偏度还可能提供对数据背后异常扩散指数的敏感估计。我们还获得了分数布朗运动的EB参数的新结果,该结果对于异常扩散参数的整个范围都有效。我们的结果对于异常扩散的分析很重要,但也为异常随机过程的理论提供了新的见解。

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