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Subdiffusion and stable laws

机译:再扩散和稳定的法律

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摘要

This paper examines particle diffusion in N-dimensional Euclidean space with traps of the return type. Under the assumption that the random continuous-diffusion time has a finite mean value, it is established that subdiffusion (which is characterized by an increase in the width of the diffusion packet with time according to the t~(#alpha#)-law, where #alpha# < 1; for normal diffusion #alpha# = 1) emerges if and only if the distribution density of the random time a particle spends in a trap has a tail of the power-law type propor. to t~(#alpha#-1). In these conditions the asymptotic expression for the distribution density of a diffusing particle is found in terms of the density of a one-sided stable law with a characteristic exponent #alpha#. It is shown that the density is a solution of subdiffusion equations in fractional derivatives. The physical meaning of the solution is discussed, and so are the properties of the solution and its relation to the results of other researchers in the field of anomalous-diffusion theory.
机译:本文研究了具有返回类型陷阱的N维欧氏空间中的粒子扩散。在随机连续扩散时间具有有限均值的假设下,建立了子扩散(其特征在于,扩散包的宽度随t〜(#alpha#)律随时间增加,其中#alpha#<1;对于正常扩散,#alpha#= 1)仅在且仅当粒子在陷阱中度过的随机时间的分布密度具有幂律型propor时才出现。到t〜(#alpha#-1)。在这些条件下,根据具有特征指数#α#的单侧稳定定律的密度,找到了扩散粒子的分布密度的渐近表达式。结果表明,密度是分数导数中子扩散方程的解。讨论了溶液的物理含义,还讨论了溶液的性质及其与反扩散理论领域其他研究人员的关系。

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