An Improved Two-Grid Technique for the Nonlinear Time-Fractional Parabolic Equation Based on the Block-Centered Finite Difference Method
Year: 2022
Author: Xiaoli Li, Yanping Chen, Chuanjun Chen
Journal of Computational Mathematics, Vol. 40 (2022), Iss. 3 : pp. 453–471
Abstract
A combined scheme of the improved two-grid technique with the block-centered finite difference method is constructed and analyzed to solve the nonlinear time-fractional parabolic equation. This method is considered where the nonlinear problem is solved only on a coarse grid of size $H$ and two linear problems based on the coarse-grid solutions and one Newton iteration is considered on a fine grid of size $h$. We provide the rigorous error estimate, which demonstrates that our scheme converges with order $\mathcal{O}(\Delta t^{2-\alpha}+h^2+H^4)$ on non-uniform rectangular grid. This result indicates that the improved two-grid method can obtain asymptotically optimal approximation as long as the mesh sizes satisfy $h=\mathcal{O}(H^2).$ Finally, numerical tests confirm the theoretical results of the presented method.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/jcm.2011-m2020-0124
Journal of Computational Mathematics, Vol. 40 (2022), Iss. 3 : pp. 453–471
Published online: 2022-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 19
Keywords: Improved two-grid Time-fractional parabolic equation Nonlinear Error estimates Numerical experiments.
Author Details
-
Two-grid $ H^1 $-Galerkin mixed finite elements combined with $ L1 $ scheme for nonlinear time fractional parabolic equations
Pan, Jun | Tang, YuelongElectronic Research Archive, Vol. 31 (2023), Iss. 12 P.7207
https://doi.org/10.3934/era.2023365 [Citations: 0] -
Two-grid algorithms based on FEM for nonlinear time-fractional wave equations with variable coefficient
Li, Kang | Tan, ZhijunComputers & Mathematics with Applications, Vol. 143 (2023), Iss. P.119
https://doi.org/10.1016/j.camwa.2023.04.040 [Citations: 3] -
Two-grid fully discrete finite element algorithms on temporal graded meshes for nonlinear multi-term time-fractional diffusion equations with variable coefficient
Li, Kang | Tan, ZhijunCommunications in Nonlinear Science and Numerical Simulation, Vol. 125 (2023), Iss. P.107360
https://doi.org/10.1016/j.cnsns.2023.107360 [Citations: 3] -
A fast time stepping Legendre spectral method for solving fractional Cable equation with smooth and non-smooth solutions
Xu, Yibin | Liu, Yanqin | Yin, Xiuling | Feng, Libo | Wang, Zihua | Li, QiupingMathematics and Computers in Simulation, Vol. 211 (2023), Iss. P.154
https://doi.org/10.1016/j.matcom.2023.04.009 [Citations: 2] -
A Compact Scheme Combining the Fast Time Stepping Method for Solving 2D Fractional Subdiffusion Equations
Xu, Yibin | Liu, Yanqin | Yin, Xiuling | Feng, Libo | Wang, ZihuaFractal and Fractional, Vol. 7 (2023), Iss. 2 P.186
https://doi.org/10.3390/fractalfract7020186 [Citations: 0] -
α-robust analysis of fast and novel two-grid FEM with nonuniform L1 scheme for semilinear time-fractional variable coefficient diffusion equations
Tan, Zhijun
Communications in Nonlinear Science and Numerical Simulation, Vol. 131 (2024), Iss. P.107830
https://doi.org/10.1016/j.cnsns.2024.107830 [Citations: 0] -
Block-Centered Finite-Difference Methods for Time-Fractional Fourth-Order Parabolic Equations
Zhang, Taixiu | Yin, Zhe | Zhu, AilingFractal and Fractional, Vol. 7 (2023), Iss. 6 P.471
https://doi.org/10.3390/fractalfract7060471 [Citations: 0] -
The time two-grid algorithm combined with difference scheme for 2D nonlocal nonlinear wave equation
Zhang, Haixiang | Jiang, Xiaoxuan | Wang, Furong | Yang, XuehuaJournal of Applied Mathematics and Computing, Vol. 70 (2024), Iss. 2 P.1127
https://doi.org/10.1007/s12190-024-02000-y [Citations: 7] -
A two-grid fully discrete Galerkin finite element approximation for fully nonlinear time-fractional wave equations
Li, Kang | Tan, ZhijunNonlinear Dynamics, Vol. 111 (2023), Iss. 9 P.8497
https://doi.org/10.1007/s11071-023-08265-5 [Citations: 1]