Abstract
Error estimates of some high-order numerical methods for solving time fractional partial differential equations are studied in this paper. We first provide the detailed error estimate of a high-order numerical method proposed recently by Li et al. [21] for solving time fractional partial differential equation. We prove that this method has the convergence order O(τ3−α) for all α ∈ (0, 1) when the first and second derivatives of the solution are vanish at t = 0, where τ is the time step size and α is the fractional order in the Caputo sense. We then introduce a new time discretization method for solving time fractional partial differential equations, which has no requirements for the initial values as imposed in Li et al. [21]. We show that this new method also has the convergence order O(τ3−α) for all α ∈ (0, 1). The proofs of the error estimates are based on the energy method developed recently by Lv and Xu [26]. We also consider the space discretization by using the finite element method. Error estimates with convergence order O(τ3−α + h2) are proved in the fully discrete case, where h is the space step size. Numerical examples in both one- and two-dimensional cases are given to show that the numerical results are consistent with the theoretical results.
Similar content being viewed by others
References
E.E. Adams, L.W. Gelhar, Field study of dispersion in a heterogeneous aquifer: 2. Spatial moments analysis. Water Resources Res. 28 (1992), 3293–3307.
J. Cao, C. Li,and Y. Chen, High-order approximation to Caputo derivatives and Caputo-type advection-diffusion equations (II). Fract. Calc. Appl. Anal. 18, No 3 (2015), 735–761; 10.1515/fca-2015-0045; https://www.degruyter.com/view/j/fca.2015.18.issue-3/issue-files/fca.2015.18.issue-3.xml.
F. Chen, Q. Xu, and J.S. Hesthaven, A multi-domain spectral method for time-fractional differential equations. J. Comput. Phys. 293 (2015), 157–172.
S. Chen, J. Shen, and L.-L. Wang, Generalized Jacobi functions and their applications to fractional differential equations. Math. Comp. 85 (2016), 1603–1638.
N.J. Ford, M.L. Morgado, and M. Rebelo, Nonpolynomial collocation approximation of solutions to fractional differential equations. Fract. Calc. Appl. Anal. 16, No 4 (2013), 874–891; 10.2478/s13540-013-0054-3; https://www.degruyter.com/view/j/fca.2013.16.issue-4/issue-files/fca.2013.16.issue-4.xml.
N.J. Ford, K. Pal, and Y. Yan, An algorithm for the numerical solution of two-sided spacefractional partial differential equations. Comput. Methods Appl. Math. 15 (2015), 497–514.
N.J. Ford, M.M. Rodrigues, J. Xiao, and Y. Yan, Numerical analysis of a two-parameter fractional telegraph equation. J. Comput. Appl. Math. 249 (2013), 95–106.
N.J. Ford, J. Xiao, and Y. Yan, Stability of a numerical method for a space-time-fractional telegraph equation. Comput. Methods Appl. Math. 12 (2012), 1–16.
N.J. Ford, J. Xiao, and Y. Yan, A finite element method for time-fractional partial differential equations. Fract. Calc. Appl. Anal. 14, No 3 (2011), 454–474; 10.2478/s13540-011-0028-2; https://www.degruyter.com/view/j/fca.2011.14.issue-3/issue-files/fca.2011.14.issue-3.xml.
N.J. Ford, Y. Yan, An approach to construct higher order time discretisation schemes for time fractional partial differential equations with nonsmooth data. Fract. Calc. Appl. Anal. 20, No 5 (2017), 1076–1105; 10.1515/fca-2017-0058; https://www.degruyter.com/view/j/fca.2017.20.issue-5/issue-files/fca.2017.20.issue-5.xml.
G.-H. Gao, Z.-Z. Sun, and H.-W. Zhang, A new fractional numerical differentiation formula to approximate the Caputo fractional derivative and its applications. J. Comput. Phys. 259 (2014), 33–50.
R. Gorenflo, F. Mainardi, Random walk models for space fractional diffusion processes. Fract. Calc. Appl. Anal. 1, No 2 (1998), 167–191.
Y. Hatano, N. Hatano, Dispersive transport of ions in column experiments: An explanation of long-tailed profiles. Water Resources Res. 34 (1998), 1027–1033.
B. Jin, R. Lazarov, D. Sheen, and Z. Zhou, Error estimates for approximations of distributed order time fractional diffusion with nonsmooth data. Fract. Calc. Appl. Anal. 19, No 1 (2016), 69–93; 10.1515/fca-2016-0005; https://www.degruyter.com/view/j/fca.2016.19.issue-1/issue-files/fca.2016.19.issue-1.xml.
B. Jin, R. Lazarov, and Z. Zhou, Two fully discrete schemes for fractional diffusion and diffusion-wave equations with nonsmooth data. SIAM J. Sci. Comput. 38 (2016), A146–A170.
B. Jin, R. Lazarov, and Z. Zhou, An analysis of the L1 scheme for the subdiffusion equation with nonsmooth data. IMA J. of Numer. Anal. 36 (2016), 197–221.
T.A.M. Langlands, B.I. Henry, The accuracy and stability of an implicit solution method for the fractional diffusion equation. J. Comput. Phys. 205 (2005), 719–736.
H. Li, J. Cao, and C. Li, Higher-order approximation to Caputo derivatives and Caputo-type advection-diffusion equations (III). J. Comput. Appl. Math. 299 (2016), 159–175.
C. Li, H. Ding, Higher order finite difference method for the reaction and anomalous-diffusion equation. Appl. Math. Model. 38 (2014), 3802–3821.
Z. Li, Z. Liang, and Y. Yan, High-order numerical methods for solving time fractional partial differential equations. J. Sci. Comput. 71 (2017), 785–803.
C. Li, R. Wu, and H. Ding, High-order approximation to Caputo derivatives and Caputo-type advection-diffusion equations. Commun. Appl. Ind. Math. 6 (2014), e–536.
X. Li, C. Xu, Existence and uniqueness of the weak solution of the space-time fractional diffusion equation and a spectral method approximation. Commun. Comput. Phys. 8 (2010), 1016–1051.
Z. Li, Y. Yan, and N.J. Ford, Error estimates of a high order numerical method for solving linear fractional differential equation. Appl. Numer. Math. 114 (2017), 201–220.
H. Liao, D. Li, and J. Zhang, Sharp error estimate of the nonuniform L1 formula for linear reaction-subdiffusion equations. SIAM J. Numer. Anal. 56 (2018), 1112–1133.
Y. Lin, C. Xu, Finite difference/spectral approximations for the time-fractional diffusion equation. J. Comput. Phys. 225 (2007), 1533–1552.
C. Lv, C. Xu, Error analysis of a high order method for time-fractional diffusion equations. SIAM J. Sci. Comput. 38 (2016), A2699–A2724.
W. McLean, K. Mustapha, Time-stepping error bounds for fractional diffusion problems with non-smooth initial data. J. Comput. Phys. 293 (2015), 201–217.
R. Metzler, J. Klafter, The restaurant at the end of the random walk: Recent developments in the description of anomalous transport by fractional dynamics. J. Phys. A: Math. Gen. 37 (2004), 161–208.
R.R. Nigmatulin, The realization of the generalized transfer equation in a medium with fractal geometry. Phys. Stat. Sol. B 133 (1986), 425–430.
K. Pal, Y. Yan, and G. Roberts, Numerical Solutions of Fractional Differential Equations by Extrapolation. In: Finite Difference Methods, Theory and Applications. FDM 2014 (I. Dimov, I. Faragó, L. Vulkov, Eds.) Lecture Notes in Computer Science # 9045 (2015), 291–299.
E. Sousa, A second order explicit finite difference method for the fractional advection diffusion equation. Comput. Math. Appl. 64 (2012), 3143–3152.
Y. Yan, K. Pal, and N.J. Ford, Higher order numerical methods for solving fractional differential equations. BIT Numer. Math. 54 (2014), 555–584.
S. B. Yuste, Weighted average finite difference methods for fractional diffusion equations. J. Comput. Phys. 216 (2006), 264–274.
S. B. Yuste, L. Acedo, An explicit finite difference method and a new von Neumann-type stability analysis for fractional diffusion equations. SIAM J. Numer. Anal. 42 (2005), 1862–1874.
F. Zeng, C. Li, F. Liu, and I. Turner, The use of finite difference/element approaches for solving the time-fractional subdiffusion equation. SIAM J. Sci. Comput. 35 (2013), A2976–A3000.
F. Zeng, Z. Zhang, and G.E. Karniadakis, Fast difference schemes for solving high-dimensional time-fractional subdiffusion equations. J. Comput. Phys. 307 (2016), 15–33.
Y.-N. Zhang, Z.-Z. Sun, and H.-L. Liao, Finite difference methods for the time fractional diffusion equation on non-uniform meshes. J. Comput. Phys. 265 (2014), 195–210.
M. Zheng, F. Liu, V. Anh, and I. Turner, A high order spectral method for the multi-term time-fractional diffusion equations. Appl. Math. Model. 40 (2016), 4970–4985.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Li, Z., Yan, Y. Error Estimates of High-Order Numerical Methods for Solving Time Fractional Partial Differential Equations. FCAA 21, 746–774 (2018). https://doi.org/10.1515/fca-2018-0039
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1515/fca-2018-0039