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Subdiffusion in a system consisting of two different media separated by a thin membrane

机译:在由薄膜分隔的两种不同介质组成的系统中的子扩散

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We consider subdiffusion in a system which consists of two media separated by a thin membrane. The subdiffusion parameters may be different in each of the medium. Using the new method presented in this paper we derive the probabilities (the Green's functions) describing a particle's random walk in the system. Within this method we firstly consider the particle's random walk in a system with both discrete time and space variables in which a particle can vanish due to reactions with constant probabilities R_1 and R_2 defined separately for each medium. Then, we move from discrete to continuous variables. The reactions included in the model play a supporting role. We link the reaction probabilities with the other subdiffusion parameters which characterize the media by means of the formulae presented in this paper. Calculating the generating functions for the difference equations describing the random walk in the composite membrane system with reactions, which depend explicitly on R_1 and R_2, we are able to correctly incorporate the subdiffusion parameters of both the media into the Green's functions. Finally, placing R_1 = R_2 = 0 into the obtained functions we get the Green's functions for the composite membrane system without any reactions. From the obtained Green's functions, we derive the boundary conditions at the thin membrane. One of the boundary conditions contains the Riemann-Liouville fractional time derivatives, which show that the additional 'memory effect' is created by a discontinuity of the system. The second boundary condition demands continuity of a flux at the membrane. We also derive a new formula describing time evolution of releasing substance from subdiffusive medium. This function coincides well with experimental data presented in Arabski et al. (2009). Confronting the experimental data with the derived formula, we estimate subdiffusive parameters of colistin in gel 1% aqueous agarose solution. We show the subdiffusive character of colistin transport in the gel.
机译:我们考虑系统中的二次扩散,该系统由被薄膜隔开的两种介质组成。在每种介质中,子扩散参数可能不同。使用本文介绍的新方法,我们得出描述系统中粒子随机游动的概率(格林函数)。在这种方法中,我们首先考虑粒子在具有离散时间和空间变量的系统中的随机游动,其中粒子会由于针对每种介质分别定义的恒定概率R_1和R_2的反应而消失。然后,我们从离散变量转到连续变量。模型中包含的反应起辅助作用。我们通过本文介绍的公式将反应概率与表征介质的其他子扩散参数联系起来。通过计算差分方程的生成函数,该差分方程描述了带有反应的复合膜系统中的随机游动,该方程明确地取决于R_1和R_2,我们能够将两种介质的子扩散参数正确地合并到格林函数中。最后,将R_1 = R_2 = 0放入获得的函数中,我们得到了复合膜系统的格林函数,没有任何反应。从获得的格林函数,我们得出薄膜的边界条件。边界条件之一包含Riemann-Liouville分数时间导数,这表明额外的“记忆效应”是由系统的不连续性产生的。第二边界条件要求膜上的通量连续。我们还导出了描述从亚扩散介质释放物质的时间演变的新公式。该功能与Arabski等人的实验数据非常吻合。 (2009)。将实验数据与推导的公式相抵触,我们估计粘胶蛋白1%琼脂糖水溶液中粘菌素的亚扩散参数。我们在凝胶中显示了粘菌素运输的亚扩散特性。

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