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首页> 外文期刊>International journal of nonlinear sciences and numerical simulation >A Collocation Method Based on Jacobi and Fractional Order Jacobi Basis Functions for Multi-Dimensional Distributed-Order Diffusion Equations
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A Collocation Method Based on Jacobi and Fractional Order Jacobi Basis Functions for Multi-Dimensional Distributed-Order Diffusion Equations

机译:基于Jacobi和分数阶Jacobi基础函数的搭配方法,用于多维分布式顺序扩散方程

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摘要

In this work, shifted fractional-order Jacobi orthogonal function in the interval [0, T] is outputted of the classical Jacobi polynomial (see Definition 2.3). Also, we list and derive some facts related to the shifted fractional-order Jacobi orthogonal function. Spectral collocation techniques are addressed to solve the multidimensional distributed-order diffusion equations (MDODEs). A mixed of shifted Jacobi polynomials and shifted fractional order Jacobi orthogonal functions are used as basis functions to adapt the spatial and temporal discretizations, respectively. Based on the selected basis, a spectral collocation method is listed to approximate the MDODEs. By means of the selected basis functions, the given conditions are automatically satisfied. We conclude with the application of spectral collocation method for multi-dimensional distributed-order diffusion equations.
机译:在这项工作中,在间隔[0,t]中,输出典型的Jacobi多项式(参见第2.3)的偏移分数级jacobi正交函数。 此外,我们列出并导出了与移位的分数阶Jacobi正交函数相关的一些事实。 寻址谱串联技术以解决多维分布式顺序扩散方程(MDODES)。 换档的Jacobi多项式和移位的分数阶Jacobi正交函数的混合用作适应空间和时间离散化的基本函数。 基于所选择的基础,列出了一种频谱搭配方法以近似MDODE。 借助于所选择的基函数,自动满足给定的条件。 我们借助于多维分布式阶扩散方程的频谱搭配方法来得出结论。

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