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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Exact solutions of triple-order time-fractional differential equations for anomalous relaxation and diffusion I: The accelerating case
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Exact solutions of triple-order time-fractional differential equations for anomalous relaxation and diffusion I: The accelerating case

机译:异常松弛和扩散的三阶时间分数阶微分方程的精确解I:加速情况

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In recent years the interest around the study of anomalous relaxation and diffusion processes is increased due to their importance in several natural phenomena. Moreover, a further generalization has been developed by introducing time-fractional differentiation of distributed order which ranges between 0 and 1. We refer to accelerating processes when the driving power law has a changing-in-time exponent whose modulus tends from less than 1 to 1, and to decelerating processes when such an exponent modulus decreases in time moving away from the linear behaviour. Accelerating processes are modelled by a time-fractional derivative in the RiemannLiouville sense, while decelerating processes by a time-fractional derivative in the Caputo sense. Here the focus is on the accelerating case while the decelerating one is considered in the companion paper. After a short reminder about the derivation of the fundamental solution for a general distribution of time-derivative orders, we consider in detail the triple-order case for both accelerating relaxation and accelerating diffusion processes and the exact results are derived in terms of an infinite series of H-functions. The method adopted is new and it makes use of certain properties of the generalized Mittag-Leffler function and the H-function, moreover it provides an elegant generalization of the method introduced by Langlands (2006) [T.A.M. Langlands, Physica A 367 (2006) 136] to study the double-order case of accelerating diffusion processes.
机译:近年来,由于异常弛豫和扩散过程在几种自然现象中的重要性,人们对其研究的兴趣日益增加。此外,通过引入在0到1之间的分布阶次的时间-分数微分,已经发展出进一步的概括。我们指的是当驱动力定律具有随时间变化的指数(模量从小于1到1的趋势)时的加速过程。当指数模量随着时间从线性行为中移出时,指数模量会随着时间的推移而下降。加速过程由RiemannLiouville意义上的时间分数导数建模,而减速过程由Caputo意义上的时间分数导数建模。这里的重点是在加速情况下,而在随附的论文中考虑了减速情况。在简短地提醒了时间导数阶的一般分布的基本解的推导之后,我们详细考虑了加速松弛过程和加速扩散过程的三阶情况,确切结果是根据无穷级数得出的H函数。所采用的方法是新方法,它利用了广义Mittag-Leffler函数和H函数的某些特性,而且它为Langlands(2006)[T.A.M. Langlands,Physica A 367(2006)136]研究了加速扩散过程的双阶情况。

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