一种新的谱法误差分析多项时间分数阶导数的异常解扩散问题

Pub Date : 2023-11-08 DOI:10.1007/s10255-023-1091-2
Bo Tang, Yan-ping Chen, Bin Xie, Xiu-xiu Lin
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引用次数: 0

摘要

本文旨在推广一种时空谱方法来处理具有Caputo导数的多项时间分数次扩散方程。该方法采用雅可比多项式作为时间离散化的基函数,拉格朗日多项式用于空间离散化。建立了弱解的有效谱近似。主要工作是证明了弱问题的适定性,并推导了谱Galerkin近似的后验误差估计。大量的数值实验证明了后验误差估计的有效性,这支持了我们的理论结果。
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A Novel Error Analysis of Spectral Method for the Anomalous Subdiffusion Problems with Multi-term Time-fractional Derivative

This paper aims to extend a space-time spectral method to address the multi-term time-fractional subdiffusion equations with Caputo derivative. In this method, the Jacobi polynomials are adopted as the basis functions for temporal discretization and the Lagrangian polynomials are used for spatial discretization. An efficient spectral approximation of the weak solution is established. The main work is the demonstration of the well-posedness for the weak problem and the derivation of a posteriori error estimates for the spectral Galerkin approximation. Extensive numerical experiments are presented to perform the validity of a posteriori error estimators, which support our theoretical results.

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