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Maximum and Minimum Principles for the Generalized Fractional Diffusion Problem with a Scale Function-Dependent Derivative

机译:比例函数相关的广义分数阶扩散问题的最大和最小原理

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In the paper, we prove the necessary condition for the extremum existence in terms of the generalized function-dependent fractional derivatives. By using these results we extend the maximum and minimum principles, known from the theory of differential equations and from diffusion problems with the Caputo derivative of constant or distributed order. We study the fractional diffusion problem, where time evolution is determined by the scale function-dependent Caputo derivative and show that the maximum or respectively minimum principle is valid, provided the source function is a non-positive or a non-negative one in the domain. As an application, we demonstrate how the sign of the classical solution is controlled by the initial and boundary conditions.
机译:在本文中,我们根据广义函数相关的分数导数证明了极值存在的必要条件。通过使用这些结果,我们扩展了从微分方程理论以及恒定或分布阶的Caputo导数的扩散问题中已知的最大和最小原理。我们研究了分数扩散问题,其中时间演化由依赖于尺度函数的Caputo导数确定,并且证明了最大或最小原则是有效的,只要源函数在域中是非正或非负的。 。作为一个应用程序,我们演示了经典解的符号是如何由初始条件和边界条件控制的。

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