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Entropy Production Rates of the Multi-Dimensional Fractional Diffusion Processes

机译:多维分数阶扩散过程的熵生产率

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Our starting point is the n -dimensional time-space-fractional partial differential equation (PDE) with the Caputo time-fractional derivative of order β , 0 β 2 and the fractional spatial derivative (fractional Laplacian) of order α , 0 α ≤ 2 . For this equation, we first derive some integral representations of the fundamental solution and then discuss its important properties including scaling invariants and non-negativity. The time-space-fractional PDE governs a fractional diffusion process if and only if its fundamental solution is non-negative and can be interpreted as a spatial probability density function evolving in time. These conditions are satisfied for an arbitrary dimension n ∈ N if 0 β ≤ 1 , 0 α ≤ 2 and additionally for 1 β ≤ α ≤ 2 in the one-dimensional case. In all these cases, we derive the explicit formulas for the Shannon entropy and for the entropy production rate of a fractional diffusion process governed by the corresponding time-space-fractional PDE. The entropy production rate depends on the orders β and α of the time and spatial derivatives and on the space dimension n and is given by the expression β n α t , t being the time variable. Even if it is an increasing function in β , one cannot speak about any entropy production paradoxes related to these processes (as stated in some publications) because the time-space-fractional PDE governs a fractional diffusion process in all dimensions only under the condition 0 β ≤ 1 , i.e., only the slow and the conventional diffusion can be described by this equation.
机译:我们的起点是n维时空分形偏微分方程(PDE),Caputo时间分数导数为β,0 <β<2,阶次空间导数(分数Laplacian)为α,0 < α≤2。对于该方程式,我们首先导出基本解的一些积分表示,然后讨论其重要性质,包括定标不变性和非负性。当且仅当其基本解为非负且可以解释为随时间演变的空间概率密度函数时,时空分数PDE才控制分数扩散过程。如果一维情况下0 <β≤1,0 <α≤2,并且对于1 <β≤α≤2,则对于任意维度n∈N都满足这些条件。在所有这些情况下,我们导出香农熵和分数扩散过程的熵生产率的显式公式,该分数扩散过程受相应的时空分数PDE支配。熵产生率取决于时间和空间导数的阶数β和α以及空间维数n,并由表达式βnαt给出,t是时间变量。即使它在β中是一个递增的函数,也无法说出与这些过程有关的任何熵产生悖论(如某些出版物中所述),因为时空分数PDE仅在条件0下控制所有维度的分数扩散过程。 <β≤1,即,仅慢速扩散和常规扩散可以通过该方程式描述。

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