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A linearized finite difference scheme for time–space fractional nonlinear diffusion-wave equations with initial singularity

  • Emadidin Gahalla Mohmed Elmahdi and Jianfei Huang EMAIL logo
Published/Copyright: October 6, 2022

Abstract

This paper presents a linearized finite difference scheme for solving a kind of time-space fractional nonlinear diffusion-wave equations with initial singularity, where the Caputo fractional derivative in time and the Riesz fractional derivative in space are involved. First, the considered problem is equivalently transformed into its partial integro-differential form. Then, the fully discrete scheme is constructed by using the Crank–Nicolson technique, the L1 approximation, and the convolution quadrature formula to deal with the temporal discretizations. Meanwhile, the classical central difference formula and the fractional central difference formula are applied to approximate the second-order derivative and the Riesz fractional derivative in space, respectively. Moreover, the stability and convergence of the proposed scheme are strictly proved by using the discrete energy method. Finally, some numerical experiments are presented to illustrate the theoretical results.

Mathematics Subject Classification: 65M06; 65M12

Corresponding author: Jianfei Huang, College of Mathematical Sciences, Yangzhou University, Yangzhou 225002, China, E-mail:

Award Identifier / Grant number: 11701502

Award Identifier / Grant number: 11871065

Funding source: Natural Science Foundation of Jiangsu Province of China

Award Identifier / Grant number: BK20201427

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This research is supported by Natural Science Foundation of Jiangsu Province of China (Grant No. BK20201427), and by National Natural Science Foundation of China (Grant Nos. 11701502 and 11871065).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

[1] D. Baleanu, O. Defterli, and O. P. Agrawal, “A central difference numerical scheme for fractional optimal control problems,” J. Vib. Control, vol. 15, pp. 583–597, 2009. https://doi.org/10.1177/1077546308088565.Search in Google Scholar

[2] R. Herrmann, Fractional Calculus, An Introduction for Physicists, 2nd ed., Singapore, World Scientific, 2014.10.1142/8934Search in Google Scholar

[3] L. Song and W. Wang, “Solution of the fractional Black-Scholes option pricing model by finite difference method,” Abstr. Appl. Anal., vol. 45, pp. 1–16, 2013. https://doi.org/10.1155/2013/194286.Search in Google Scholar

[4] Y. Luchko, “Subordination principles for the multi-dimensional space-time-fractional diffusion-wave equations,” Theor. Probab. Math. Stat., vol. 98, pp. 127–147, 2019. https://doi.org/10.1090/tpms/1067.Search in Google Scholar

[5] W. R. Schneider and W. Wyss, “Fractional diffusion and wave equations,” J. Math. Phys., vol. 30, pp. 134–144, 1989. https://doi.org/10.1063/1.528578.Search in Google Scholar

[6] E. G. M. Elmahdi and J. F. Huang, “Two linearized finite difference schemes for time fractional nonlinear diffusion-wave equations with fourth order derivative,” AIMS Math., vol. 6, pp. 6356–6376, 2021. https://doi.org/10.3934/math.2021373.Search in Google Scholar

[7] M. Fardi and M. Ghasemi, “A numerical solution strategy based on error analysis for time-fractional mobile/immobile transport model,” Soft Comput., vol. 25, pp. 11307–11331, 2021. https://doi.org/10.1007/s00500-021-05914-y.Search in Google Scholar

[8] M. Fardi and J. Alidousti, “A Legendre spectral-finite difference method for Caputo-Fabrizio time-fractional distributed-order diffusion equation,” Math. Sci., 2021, https://doi.org/10.1007/s40096-021-00430-4.Search in Google Scholar

[9] M. Fardi and Y. Khan, “A fast difference scheme on a graded mesh for time-fractional and space distributed-order diffusion equation with nonsmooth data,” Int. J. Mod. Phys. B, vol. 36, p. 2250076, 2022. https://doi.org/10.1142/s021797922250076x.Search in Google Scholar

[10] J. F. Huang, Y. Zhao, S. Arshad, K. Y. Li, and Y. F. Tang, “Alternating direction implicit schemes for the two-directional time fractional nonlinear super-diffusion equations,” J. Comput. Math., vol. 37, pp. 297–315, 2019. https://doi.org/10.4208/jcm.1802-m2017-0196.Search in Google Scholar

[11] P. Lyu and S. Vong, “A high-order method with a temporal nonuniform mesh for a time-fractional Benjamin-Bona-Mahony equation,” J. Sci. Comput., vol. 80, pp. 1607–1628, 2019. https://doi.org/10.1007/s10915-019-00991-6.Search in Google Scholar

[12] L. J. Qiao and D. Xu, “Compact alternating direction implicit scheme for integro-differential equations of parabolic type,” J. Sci. Comput., vol. 76, pp. 565–582, 2018. https://doi.org/10.1007/s10915-017-0630-5.Search in Google Scholar

[13] C. C. Ji and Z. Z. Sun, “An unconditionally stable and high-order convergent difference scheme for Stokes’ first problem for a heated generalized second grade fluid with fractional derivative,” Numer. Math. Theory Methods Appl., vol. 10, pp. 597–613, 2017. https://doi.org/10.4208/nmtma.2017.m1605.Search in Google Scholar

[14] L. Liu, L. C. Zheng, F. W. Liu, and X. X. Zhang, “Anomalous convection diffusion and wave coupling transport of cells on comb frame with fractional Cattaneo-Christov flux,” Commun. Nonlinear Sci. Numer. Simulat., vol. 38, pp. 45–58, 2016. https://doi.org/10.1016/j.cnsns.2016.02.009.Search in Google Scholar

[15] R. Metzler and T. F. Nonnenmacher, “Space- and time-fractional diffusion and wave equations, fractional Fokker-Planck equations, and physical motivation,” Chem. Phys., vol. 284, pp. 67–90, 2002. https://doi.org/10.1016/s0301-0104(02)00537-2.Search in Google Scholar

[16] S. Arshad, J. F. Huang, A. Q. M. Khaliq, and Y. F. Tang, “Trapezoidal scheme for time-space fractional diffusion equation with Riesz derivative,” J. Comput. Phys., vol. 350, pp. 1–15, 2017. https://doi.org/10.1016/j.jcp.2017.08.038.Search in Google Scholar

[17] W. P. Bu, S. Shu, X. Q. Yue, A. G. Xiao, and W. Zeng, “Space-time finite element method for the multi-term time-space fractional diffusion equation on a two-dimensional domain,” Comput. Math. Appl., vol. 78, no. 5, pp. 1367–1379, 2019. https://doi.org/10.1016/j.camwa.2018.11.033.Search in Google Scholar

[18] X. M. Gu, T. Z. Huang, C. C. Ji, B. Carpentieri, and A. A. Alikhanov, “Fast iterative method with a second-order implicit difference scheme for time-space fractional convection-diffusion equation,” J. Sci. Comput., vol. 72, pp. 957–985, 2017. https://doi.org/10.1007/s10915-017-0388-9.Search in Google Scholar

[19] J. F. Huang and D. D. Yang, “A unified difference-spectral method for time-space fractional diffusion equations,” Int. J. Comput. Math., vol. 94, pp. 1172–1184, 2017. https://doi.org/10.1080/00207160.2016.1184262.Search in Google Scholar

[20] Q. Liu, F. H. Zeng, and C. P. Li, “Finite difference method for time-space fractional Schrödinger equation,” Int. J. Comput. Math., vol. 92, pp. 1439–1451, 2015. https://doi.org/10.1080/00207160.2014.945440.Search in Google Scholar

[21] A. H. Bhrawy and M. A. Zaky, “A method based on the Jacobi tau approximation for solving multi-term time-space fractional partial differential equations,” J. Comput. Phys., vol. 281, pp. 876–895, 2015. https://doi.org/10.1016/j.jcp.2014.10.060.Search in Google Scholar

[22] D. K. Cen, Z. B. Wang, and Y. Mo, “A compact difference scheme on graded meshes for the nonlinear fractional integro-differential equation with non-smooth solutions,” Acta Math. Appl. Sin. Engl. Ser., vol. 38, pp. 601–613, 2022. https://doi.org/10.1007/s10255-022-1102-8.Search in Google Scholar

[23] H. Chen, S. J. Lü, and W. P. Chen, “A unified numerical scheme for the multi-term time fractional diffusion and diffusion-wave equations with variable coefficients,” J. Comput. Appl. Math., vol. 330, pp. 380–397, 2018. https://doi.org/10.1016/j.cam.2017.09.011.Search in Google Scholar

[24] A. Ebadian, H. R. Fazli, and A. A. Khajehnasiri, “Solution of nonlinear fractional diffusion-wave equation by triangular functions,” SeMA. J., vol. 72, pp. 37–46, 2015. https://doi.org/10.1007/s40324-015-0045-x.Search in Google Scholar

[25] W. P. Fan, X. Y. Jiang, F. W. Liu, and V. Anh, “The unstructured mesh finite element method for the two-dimensional multi-term time-space fractional diffusion-wave equation on an irregular convex domain,” J. Sci. Comput., vol. 77, pp. 27–52, 2018. https://doi.org/10.1007/s10915-018-0694-x.Search in Google Scholar

[26] J. Huang, J. Zhang, S. Arshad, and Y. Tang, “A numerical method for two-dimensional multi-term time-space fractional nonlinear diffusion-wave equations,” Appl. Numer. Math., vol. 159, pp. 159–173, 2021. https://doi.org/10.1016/j.apnum.2020.09.003.Search in Google Scholar

[27] C. P. Li, Z. G. Zhao, and Y. Q. Chen, “Numerical approximation of nonlinear fractional differential equations with subdiffusion and superdiffusion,” Comput. Math. Appl., vol. 62, pp. 855–875, 2011. https://doi.org/10.1016/j.camwa.2011.02.045.Search in Google Scholar

[28] M. Li, C. M. Huang, and W. Y. Ming, “Mixed finite-element method for multi-term time fractional diffusion and diffusion-wave equations,” Comput. Appl. Math., vol. 37, pp. 2309–2334, 2018. https://doi.org/10.1007/s40314-017-0447-8.Search in Google Scholar

[29] X. L. Lin, K. Ng. Michael, and H. W. Sun, “A separable preconditioner for time-space fractional Caputo-Riesz diffusion equations,” Numer. Math. Theory Methods Appl., vol. 11, pp. 827–853, 2018. https://doi.org/10.4208/nmtma.2018.s09.Search in Google Scholar

[30] P. Lyu, Y. Liang, and Z. Wang, “A fast linearized finite difference method for the nonlinear multi-term time-fractional wave equation,” Appl. Numer. Math., vol. 151, pp. 448–471, 2020. https://doi.org/10.1016/j.apnum.2019.11.012.Search in Google Scholar

[31] Z. Soori and A. Aminataei, “Sixth-order non-uniform combined compact difference scheme for multi-term time fractional diffusion-wave equation,” Appl. Numer. Math., vol. 131, pp. 72–94, 2018. https://doi.org/10.1016/j.apnum.2018.04.006.Search in Google Scholar

[32] J. Zhang, T. Aleroev, Y. Tang, and J. F. Huang, “Numerical schemes for time-space fractional vibration equations,” Adv. Appl. Math. Mech., vol. 13, pp. 806–826, 2020.10.4208/aamm.OA-2020-0066Search in Google Scholar

[33] K. Diethelm, The Analysis of Fractional Differential Equations, Berlin, Springer, 2010.10.1007/978-3-642-14574-2Search in Google Scholar

[34] C. Lubich, “Discretized fractional calculus,” SIAM J. Math. Anal., vol. 17, pp. 704–719, 1986. https://doi.org/10.1137/0517050.Search in Google Scholar

[35] C. Lubich, “Convolution quadrature and discretized operational calculus I,” Numer. Math., vol. 52, pp. 129–145, 1988. https://doi.org/10.1007/bf01398686.Search in Google Scholar

[36] Z. Z. Sun and X. N. Wu, “A fully discrete difference scheme for a diffusion-wave system,” Appl. Numer. Math., vol. 56, pp. 193–209, 2006. https://doi.org/10.1016/j.apnum.2005.03.003.Search in Google Scholar

[37] R. J. LeVeque, Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-dependent Problems, Philadelphia, SIAM, 2007.10.1137/1.9780898717839Search in Google Scholar

[38] Z. Z. Sun, The Method of Order Reduction and its Application to the Numerical Solutions of Partial Differential Equations, Beijing, Science Press, 2009.Search in Google Scholar

[39] C. Celik and M. Duman, “Crank-Nicolson method for the fractional diffusion equation with the Riesz fractional derivative,” J. Comput. Phys., vol. 231, pp. 1743–1750, 2012. https://doi.org/10.1016/j.jcp.2011.11.008.Search in Google Scholar

[40] J. F. Huang, J. N. Zhang, S. Arshad, Y. D. Jiao, and Y. F. Tang, “A superlinear convergence scheme for the multi-term and distribution-order fractional wave equation with initial singularity,” Numer. Methods Part. Differ. Equ., vol. 37, pp. 2833–2848, 2021. https://doi.org/10.1002/num.22773.Search in Google Scholar

[41] C. Li and F. Zeng, Numerical Methods for Fractional Calculus, New York, Chapman and Hall/CRC, 2015.10.1201/b18503Search in Google Scholar

[42] P. D. Wang and C. M. Huang, “An energy conservative difference scheme for the nonlinear fractional Schröinger equations,” J. Comput. Phys., vol. 293, pp. 238–251, 2015. https://doi.org/10.1016/j.jcp.2014.03.037.Search in Google Scholar

[43] J. F. Huang, S. Arshad, Y. D. Jiao, and Y. F. Tang, “Convolution quadrature methods for time-space fractional nonlinear diffusion-wave equations,” East Asian J. Appl. Math., vol. 9, pp. 538–557, 2019. https://doi.org/10.4208/eajam.230718.131018.Search in Google Scholar

Received: 2021-10-12
Revised: 2022-09-05
Accepted: 2022-09-18
Published Online: 2022-10-06

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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