The TGCNMFE Method for the Generalized Nonlinear Time Fractional Fourth-Order Reaction Diffusion Equation
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Abstract
Herein, we mainly focus on developing a new two-grid Crank-Nicolson (CN) mixed finite element (MFE) (TGCNMFE) method for the generalized nonlinear time fractional fourth-order reaction diffusion equation. To do so, by introducing an auxiliary function, the nonlinear time fractional fourth-order reaction diffusion equation is first split into two second-order nonlinear equations. Thereafter, a new time semi-discrete mixed CN (TSDMCN) scheme is constructed through discretizing the time derivative and time fractional derivative by the CN difference quotient, and the existence, steadiness, and errors of the TSDMCN solutions are analysed. Next, a new TGCNMFE method is developed through using two-grid MFE technique to discretize the spacial variables, and the existence, steadiness, and error estimations for the TGCNMFE solutions are discussed. Lastly, the correctness of theory results and the superiority of the TGCNMFE method are verified by some numerical experiments.
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References
- Liu, Y., Du, Y., Li, H., Li, J., & He, S. (2015). A two-grid mixed finite element method for a nonlinear fourth-order reaction–diffusion problem with time-fractional derivative. Computers & Mathematics with Applications, 70(10), 2474-2492.
[CrossRef] [Google Scholar] - Miller, K. S., & Ross, B. (1993). An introduction to the fractional calculus and fractional differential equations. https://api.semanticscholar.org/CorpusID:117250850
[Google Scholar] - Gerasimov, A. N. (1948). A generalization of linear deformation laws and their application to problems of internal friction. Prikladnaya Matematika i Mekhanika, PMM, 12, 529--539.
[Google Scholar] - Caputo, M. (1967). Linear model of dissipation whose Q is almost frequency independent-II: Geophysical Journal of Royal Astronomical Society.
[CrossRef] [Google Scholar] - Fedorov, V. E., & Zakharova, T. A. (2023). Nonlocal solvability of quasilinear degenerate equations with Gerasimov–Caputo derivatives. Lobachevskii Journal of Mathematics, 44(2), 594-606.
[CrossRef] [Google Scholar] - Podlubny, I. (1999). Fractional Differential Equations. Academic Press, New York.
[CrossRef] [Google Scholar] - Bagley, R. L., & Torvik, P. J. (1983). A theoretical basis for the application of fractional calculus to viscoelasticity. Journal of rheology, 27(3), 201-210.
[CrossRef] [Google Scholar] - Kilbas, A. A. (2006). Theory and applications of fractional differential equations. North-Holland Mathematics Studies, 204.
[Google Scholar] - Magin, R. L. (2010). Fractional calculus models of complex dynamics in biological tissues. Computers & Mathematics with Applications, 59(5), 1586-1593.
[CrossRef] [Google Scholar] - Metzler, R., & Klafter, J. (2004). The restaurant at the end of the random walk: recent developments in the description of anomalous transport by fractional dynamics. Journal of Physics A: Mathematical and General, 37(31), R161.
[CrossRef] [Google Scholar] - Danumjaya, P., & Pani, A. K. (2012). Mixed finite element methods for a fourth order reaction diffusion equation. Numerical Methods for Partial Differential Equations, 28(4), 1227-1251.
[CrossRef] [Google Scholar] - Li, J. (2006). Optimal convergence analysis of mixed finite element methods for fourth‐order elliptic and parabolic problems. Numerical Methods for Partial Differential Equations: An International Journal, 22(4), 884-896.
[CrossRef] [Google Scholar] - Dee, G. T., & van Saarloos, W. (1988). Bistable systems with propagating fronts leading to pattern formation. Physical review letters, 60(25), 2641.
[CrossRef] [Google Scholar] - Coullet, P., Elphick, C., & Repaux, D. (1987). Nature of spatial chaos. Physical review letters, 58(5), 431.
[CrossRef] [Google Scholar] - Hornreich, R. M., Luban, M., & Shtrikman, S. (1975). Critical behaviour at the onset of k-space instability at the λ line. Physical Review Letters, 35, 1678–1681.
[CrossRef] [Google Scholar] - Aronson, D. G., & Weinberger, H. F. (1978). Multidimensional nonlinear diffusion arising in population genetics. Advances in Mathematics, 30(1), 33-76.
[CrossRef] [Google Scholar] - Guozhen, Z. (1982). Experiments on director waves in nematic liquid crystals. Physical Review Letters, 49(18), 1332.
[CrossRef] [Google Scholar] - Lin, Y., & Xu, C. (2007). Finite difference/spectral approximations for the time-fractional diffusion equation. Journal of computational physics, 225(2), 1533-1552.
[CrossRef] [Google Scholar] - Gao, G. H., Sun, Z. Z., & Zhang, Y. N. (2012). A finite difference scheme for fractional sub-diffusion equations on an unbounded domain using artificial boundary conditions. Journal of Computational Physics, 231(7), 2865-2879.
[CrossRef] [Google Scholar] - Vong, S., & Wang, Z. (2014). A compact difference scheme for a two dimensional fractional Klein–Gordon equation with Neumann boundary conditions. Journal of Computational Physics, 274, 268-282.
[CrossRef] [Google Scholar] - Yuste, S. B., & Acedo, L. (2005). An explicit finite difference method and a new von Neumann-type stability analysis for fractional diffusion equations. SIAM Journal on Numerical Analysis, 42(5), 1862-1874.
[CrossRef] [Google Scholar] - Zeng, F., Zhang, Z., & Karniadakis, G. E. (2016). Fast difference schemes for solving high-dimensional time-fractional subdiffusion equations. Journal of Computational Physics, 307, 15-33.
[CrossRef] [Google Scholar] - Dehghan, M., & Abbaszadeh, M. (2018). An efficient technique based on finite difference/finite element method for solution of two-dimensional space/multi-time fractional Bloch–Torrey equations. Applied Numerical Mathematics, 131, 190-206.
[CrossRef] [Google Scholar] - Dehghan, M., Safarpoor, M., & Abbaszadeh, M. (2015). Two high-order numerical algorithms for solving the multi-term time fractional diffusion-wave equations. Journal of Computational and Applied Mathematics, 290, 174--195.
[CrossRef] [Google Scholar] - Jiang, Y. & Ma, J. (2011). High-order finite element methods for time-fractional partial differential equations. Journal of Computational and Applied Mathematics, 235, 3285--3290.
[CrossRef] [Google Scholar] - Liu, Q., Liu, F., Turner, I., & Anh, V. (2011). Finite element approximation for a modified anomalous subdiffusion equation. Applied Mathematical Modelling, 35, 4103--4116.
[CrossRef] [Google Scholar] - Baseri, A., Abbasbandy, S., & Babolian, E. (2018). A collocation method for fractional diffusion equation in a long time with chebyshev functions. Applied Mathematics and Computation, 322, 55--65.
[CrossRef] [Google Scholar] - Esen, A., Tasbozan, O., Ucar, Y., & Yagmurlu, N. (2015). A b-spline collocation method for solving fractional diffusion and fractional diffusion-wave equations. Tbilisi Mathematical Journal, 8, 181--193
[CrossRef] [Google Scholar] - Nagy, A. (2017). Numerical solution of time fractional nonlinear Klein-Gordon equation using sinc-Chebyshev collocation method. Applied Mathematics and Computation, 310, 139--148.
[CrossRef] [Google Scholar] - Xu, Q. & Hesthaven, J. S. (2014). Discontinuous Galerkin method for fractional convection-diffusion equations. SIAM Journal on Numerical Analysis, 52, 405--423.
[CrossRef] [Google Scholar] - Baccouch, M. & Temimi, H. (2021). A high-order space-time ultra-weak discontinuous Galerkin method for the second-order wave equation in one space dimension. Journal of Computational and Applied Mathematics, 389, 113331.
[CrossRef] [Google Scholar] - Bhardwaj, A. & Kumar, A. (2020). Numerical solution of time fractional Tricomi-type equation by an RBF based meshless method. Engineering Analysis with Boundary Elements, 118, 96--107.
[CrossRef] [Google Scholar] - Luo, Z. (2024). Finite element and reduced dimension methods for partial differential equations. Springer Nature Singapore.
[CrossRef] [Google Scholar] - Teng, F., & Luo, Z. D. (2024). A natural boundary element reduced-dimension model for uniform high-voltage transmission line problem in an unbounded outer domain. Computational and Applied Mathematics, 43(3), 106.
[CrossRef] [Google Scholar] - Zhang, G. & Lin, Y. (2011). Notes on Functional Analysis (in Chinese). Peking University Press, Beijing. https://gitcode.com/Open-source-documentation-tutorial/7d966
[Google Scholar] - Li, K. & Tan, Z. (2023). A two-grid fully discrete Galerkin finite element approximation for fully nonlinear time-fractional wave equations. Nonlinear Dynamics, 111, 8497--8521.
[CrossRef] [Google Scholar]
Cite This Article
TY - JOUR AU - Li, Yuejie AU - Luo, Zhendong PY - 2025 DA - 2025/06/29 TI - The TGCNMFE Method for the Generalized Nonlinear Time Fractional Fourth-Order Reaction Diffusion Equation JO - Journal of Numerical Simulations in Physics and Mathematics T2 - Journal of Numerical Simulations in Physics and Mathematics JF - Journal of Numerical Simulations in Physics and Mathematics VL - 1 IS - 1 SP - 18 EP - 31 DO - 10.62762/JNSPM.2025.256666 UR - https://www.icck.org/article/abs/JNSPM.2025.256666 KW - numerical simulations KW - finite element method KW - finite difference scheme KW - finite volume element method AB - Herein, we mainly focus on developing a new two-grid Crank-Nicolson (CN) mixed finite element (MFE) (TGCNMFE) method for the generalized nonlinear time fractional fourth-order reaction diffusion equation. To do so, by introducing an auxiliary function, the nonlinear time fractional fourth-order reaction diffusion equation is first split into two second-order nonlinear equations. Thereafter, a new time semi-discrete mixed CN (TSDMCN) scheme is constructed through discretizing the time derivative and time fractional derivative by the CN difference quotient, and the existence, steadiness, and errors of the TSDMCN solutions are analysed. Next, a new TGCNMFE method is developed through using two-grid MFE technique to discretize the spacial variables, and the existence, steadiness, and error estimations for the TGCNMFE solutions are discussed. Lastly, the correctness of theory results and the superiority of the TGCNMFE method are verified by some numerical experiments. SN - 3068-9082 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Li2025The,
author = {Yuejie Li and Zhendong Luo},
title = {The TGCNMFE Method for the Generalized Nonlinear Time Fractional Fourth-Order Reaction Diffusion Equation},
journal = {Journal of Numerical Simulations in Physics and Mathematics},
year = {2025},
volume = {1},
number = {1},
pages = {18-31},
doi = {10.62762/JNSPM.2025.256666},
url = {https://www.icck.org/article/abs/JNSPM.2025.256666},
abstract = {Herein, we mainly focus on developing a new two-grid Crank-Nicolson (CN) mixed finite element (MFE) (TGCNMFE) method for the generalized nonlinear time fractional fourth-order reaction diffusion equation. To do so, by introducing an auxiliary function, the nonlinear time fractional fourth-order reaction diffusion equation is first split into two second-order nonlinear equations. Thereafter, a new time semi-discrete mixed CN (TSDMCN) scheme is constructed through discretizing the time derivative and time fractional derivative by the CN difference quotient, and the existence, steadiness, and errors of the TSDMCN solutions are analysed. Next, a new TGCNMFE method is developed through using two-grid MFE technique to discretize the spacial variables, and the existence, steadiness, and error estimations for the TGCNMFE solutions are discussed. Lastly, the correctness of theory results and the superiority of the TGCNMFE method are verified by some numerical experiments.},
keywords = {numerical simulations, finite element method, finite difference scheme, finite volume element method},
issn = {3068-9082},
publisher = {Institute of Central Computation and Knowledge}
}
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