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Two-time scale subordination in physical processes with long-term memory

机译:具有长期记忆的物理过程中的两次尺度从属

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We describe dynamical processes in continuous media with a long-term memory. Our consideration is based on a stochastic subordination idea and concerns two physical examples in detail. First we study a temporal evolution of the species concentration in a trapping reaction in which a diffusing reactant is surrounded by a sea of randomly moving traps. The analysis uses the random-variable formalism of anomalous diffusive processes. We find that the empirical trapping-reaction law, according to which the reactant concentration decreases in time as a product of an exponential and a stretched exponential function, can be explained by a two-time scale subordination of random processes. Another example is connected with a state equation for continuous media with memory. If the pressure and the density of a medium are subordinated in two different random processes, then the ordinary state equation becomes fractional with two-time scales. This allows one to arrive at the Bagley-Torvik type of state equation. (C) 2007 Elsevier Inc. All rights reserved.
机译:我们描述具有长期记忆的连续介质中的动力学过程。我们的考虑基于一个随机从属思想,并详细涉及两个物理示例。首先,我们研究了捕集反应中物种浓度的时间演化,在该反应中,扩散反应物被随机移动的捕集阱包围。分析使用异常扩散过程的随机变量形式。我们发现,经验俘获反应定律可以根据随机过程的两次标度从属关系来解释,根据该定律,反应物浓度随时间的增长而下降,这是指数和拉伸指数函数的乘积。另一个示例与带有存储器的连续媒体的状态方程式相关。如果介质的压力和密度在两个不同的随机过程中服从,则普通状态方程将变成具有两个比例的分数。这样就可以得出Bagley-Torvik类型的状态方程。 (C)2007 Elsevier Inc.保留所有权利。

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