Error analysis of discontinuous Galerkin method for the time fractional KdV equation with weak singularity solution

Na An; Chaobao Huang; Xijun Yu

doi:10.3934/dcdsb.2019185

Article Contents

2020, Volume 25, Issue 1: 321-334. Doi: 10.3934/dcdsb.2019185

This issue Previous Article Pullback exponential attractors for differential equations with variable delays Next Article Multi-scale analysis for highly anisotropic parabolic problems

Error analysis of discontinuous Galerkin method for the time fractional KdV equation with weak singularity solution

1.
School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, China
2.
School of Mathematic and Quantitative Economics, Shandong University of Finance and Economics, Jinan 250014, China
3.
Labroatory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, China

^* Corresponding author: huangcb@csrc.ac.cn
^* Corresponding author: huangcb@csrc.ac.cn

Received: January 2018

Revised: March 2019

Early access: September 2019

Published: January 2020

The authors are grateful to the National Natural Science Foundation of PR China (Grant Nos. 11801332, 11571002, and 11971276)

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Abstract

In this work, the time fractional KdV equation with Caputo time derivative of order $ \alpha \in (0,1) $ is considered. The solution of this problem has a weak singularity near the initial time $ t = 0 $. A fully discrete discontinuous Galerkin (DG) method combining the well-known L1 discretisation in time and DG method in space is proposed to approximate the time fractional KdV equation. The unconditional stability result and O$ (N^{-\min \{r\alpha,2-\alpha\}}+h^{k+1}) $ convergence result for $ P^k \; (k\geq 2) $ polynomials are obtained. Finally, numerical experiments are presented to illustrate the efficiency and the high order accuracy of the proposed scheme.

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Mathematics Subject Classification: Primary: 35R11, 65M60; Secondary: 65M12.

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Figure 1. The numerical solution for Example 4.1 with $ \alpha = 0.4 $

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Table 1. $ L^\infty(L^2) $ errors and orders of convergence on temporal direction for Example 4.1 with $ r = (2-\alpha)/\alpha $

	N = 32	N = 64	N = 128	N = 256	$ N = 512 $	N = 1024
$ \alpha = 0.4 $	3.0496E-2	1.1110E-2	3.9235E-3	1.3578E-3	4.6379E-4	1.5729E-4
		1.4567	1.5016	1.5307	1.5498	1.5600
$ \alpha = 0.6 $	3.8341E-2	1.5127E-2	5.8825E-3	2.2665E-3	8.6831E-4	3.3157E-4
		1.3417	1.3626	1.3759	1.3842	1.3888
$ \alpha = 0.8 $	5.9953E-2	2.6607E-2	1.1728E-2	5.1485E-3	2.2540E-3	9.8512E-4
		1.1720	1.1817	1.1878	1.1916	1.1941

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Table 2. Errors and orders of convergence on space direction for Example 4.1 with $ \alpha = 0.4 $

Polynomial	M	$ \\|u-u_h\\|_{L^2} $	Order	$ \\|u-u_h\\|_{L^{\infty}} $	Order
$ P^2 $	5	5.3831E-01	-	3.2328E-01	-
	10	7.8579E-02	2.7762	4.7729E-02	2.7598
	20	9.9319E-03	2.9840	6.2124E-03	2.9416
	40	1.1426E-04	3.1196	7.5845E-04	3.0340
$ P^3 $	5	1.7236E-02	-	1.3819E-02	-
	10	1.1399E-03	3.9184	8.7589E-04	3.9798
	15	2.2712E-04	3.9406	1.7695E-04	3.9667
	20	7.2979E-05	3.9418	6.1408E-04	3.9070

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Table 3. $ L^\infty(L^2) $ errors and orders of convergence on temporal direction for Example 4.2 with $ r = (2-\alpha)/\alpha $

	N = 32	N = 64	N = 128	N = 256	$ N = 512 $	N = 1024
$ \alpha = 0.4 $	2.6605E-2	9.8042E-3	3.4860E-3	1.2119E-3	4.1549E-4	1.4179E-4
		1.4402	1.4918	1.5243	1.5444	1.5510
$ \alpha = 0.6 $	3.0086E-2	1.2002E-2	4.6980E-3	1.8177E-3	6.9850E-4	2.6770E-4
		1.3258	1.3531	1.3699	1.3797	1.3836
$ \alpha = 0.8 $	4.1374E-2	1.8226E-2	7.9818E-3	3.4836E-3	1.5178E-3	6.6104E-4
		1.1827	1.1912	1.1961	1.1985	1.1992

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Table 4. Errors and orders of convergence on space direction for Example 4.2 with $ \alpha = 0.4 $

Polynomial	M	$ \\|u-u_h\\|_{L^2} $	Order	$ \\|u-u_h\\|_{L^{\infty}} $	Order
$ P^2 $	5	3.8931E-01	-	2.3483E-01	-
	10	5.6563E-02	2.7829	3.4418E-02	2.7704
	20	7.1139E-03	2.9911	4.4696E-03	2.9449
	40	7.7979E-04	3.1894	5.4210E-04	3.0435
$ P^3 $	5	1.2812E-02	-	1.0564E-02	-
	10	8.3809E-03	3.9342	6.7270E-04	3.9731
	15	1.6615E-04	3.9552	1.2940E-04	4.0071
	20	5.3162E-05	3.9564	4.3749E-05	3.9578

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Table 5. $ L^2 $ errors and orders of convergence on temporal direction for Example 4.3 with $ r = (2-\alpha)/\alpha $

	N = 64	N = 128	N = 256	N = 512	N = 1024
$ \alpha = 0.4 $	2.4959E-3	8.4989E-4	2.8741E-4	9.6635E-5	3.2367E-5
		1.5542	1.5641	1.5720	1.5784
$ \alpha = 0.6 $	6.0125E-3	2.3383E-3	8.9915E-4	3.4367E-4	1.3092E-4
		1.3624	1.3788	1.3875	1.3923
$ \alpha = 0.8 $	1.0359E-2	4.6808E-3	2.0899E-3	1.2645E-4	4.0879E-4
		1.1460	1.1633	1.1736	1.1803

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Table 6. $ L^2 $ errors and orders of convergence on temporal direction for Example 4.3 with $ r = 2(2-\alpha)/\alpha $

	N = 64	N = 128	N = 256	N = 512	N = 1024
$ \alpha = 0.4 $	6.0380E-3	2.2285E-3	7.2999E-4	2.4866E-4	8.4023E-5
		1.5110	1.5371	1.5536	1.5653
$ \alpha = 0.6 $	1.1214E-2	4.4769E-3	1.7480E-3	6.7438E-4	2.5839E-4
		1.3248	1.3567	1.3741	1.3839
$ \alpha = 0.8 $	1.5602E-2	7.0291E-3	3.1157E-3	1.3694E-3	5.9926E-4
		1.1503	1.1737	1.1859	1.1923

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References

[1]	N. An, C. Huang and X. Yu, Error analysis of direct discontinuous Galerkin method for two-dimensional fractional diffusion-wave equation, Appl. Math. Comput., 349 (2019), 148-157. doi: 10.1016/j.amc.2018.12.048.
[2]	W. Bu and A. Xiao, An h-p version of the continuous Petrov-Galerkin finite element method for Riemann-Liouville fractional differential equation with novel test basis functions, Numer. Algor., 81 (2019), 529-545. doi: 10.1007/s11075-018-0559-2.
[3]	H. Chen and T. Sun, A Petrov-Galerkin spectral method for the linearized time fractional KdV equation, Int. J. Comput. Math., 95 (2018), 1292-1307. doi: 10.1080/00207160.2017.1410544.
[4]	Y. Cheng and C.-W. Shu, A discontinuous Galerkin finite element method for time dependent partial differential equations with higher order derivatives, Math. Comp., 77 (2008), 699-730. doi: 10.1090/S0025-5718-07-02045-5.
[5]	P. G. Ciarlet, The Finite Element Method for Elliptic Problems, North-Holland Publishing Co., Amsterdam-New York-Oxford, 1978.
[6]	B. Cockburn and K. Mustapha, A hybridizable discontinuous Galerkin method for fractional diffusion problems, Numer. Math., 130 (2015), 293-314. doi: 10.1007/s00211-014-0661-x.
[7]	P. A. Farrell, A. F. Hegarty, J. J. H. Miller, E. O'Riordan and G. I. Shishkin, Robust Computational Techniques for Boundary Layers, volume 16 of Applied Mathematics (Boca Raton), Chapman & Hall/CRC, Boca Raton, FL, 2000.
[8]	M. Fung, Kdv equation as an euler-poincare equation, Chinese J. Phys., 35 (1997), 789-796.
[9]	D. Henry, Geometric Theory of Semilinear Parabolic Equations, volume 840 of Lecture Notes in Mathematics, Springer-Verlag, Berlin-New York, 1981.
[10]	R. Hilfer, editor., Applications of Fractional Calculus in Physics, World Scientific Publishing Co., Inc., River Edge, NJ, 2000. doi: 10.1142/9789812817747.
[11]	C. Huang, N. An and X. Yu, A fully discrete direct discontinuous Galerkin method for the fractional diffusion-wave equation, Appl. Anal., 97 (2018), 659-675. doi: 10.1080/00036811.2017.1281407.
[12]	C. Huang, M. Stynes and N. An, Optimal ${L}^\infty ({L}^2)$ error analysis of a direct discontinuous Galerkin method for a time-fractional reaction-diffusion problem, BIT. Numer. Math, 58 (2018), 661-690. doi: 10.1007/s10543-018-0707-z.
[13]	C. Huang, X. Yu, C. Wang, Z. Li and N. An, A numerical method based on fully discrete direct discontinuous Galerkin method for the time fractional diffusion equation, Appl. Math. Comput., 264 (2015), 483-492. doi: 10.1016/j.amc.2015.04.093.
[14]	D. J. Korteweg and G. de Vries, On the change of form of long waves advancing in a rectangular canal, and on a new type of long stationary waves, Philos. Mag., 39 (1895), 422-443. doi: 10.1080/14786449508620739.
[15]	Y. Lin and C. Xu, Finite difference/spectral approximations for the time-fractional diffusion equation, J. Comput. Phys., 225 (2007), 1533-1552. doi: 10.1016/j.jcp.2007.02.001.
[16]	W. McLean, Regularity of solutions to a time-fractional diffusion equation, ANZIAM J., 52 (2010), 123-138. doi: 10.1017/S1446181111000617.
[17]	S. Momani and A. Yıldı rım, Analytical approximate solutions of the fractional convection-diffusion equation with nonlinear source term by He's homotopy perturbation method, Int. J. Comput. Math., 87 (2010), 1057-1065. doi: 10.1080/00207160903023581.
[18]	D. A. Murio, Implicit finite difference approximation for time fractional diffusion equations, Comput. Math. Appl., 56 (2008), 1138-1145. doi: 10.1016/j.camwa.2008.02.015.
[19]	K. Mustapha and W. McLean, Discontinuous Galerkin method for an evolution equation with a memory term of positive type, Math. Comp., 78 (2009), 1975-1995. doi: 10.1090/S0025-5718-09-02234-0.
[20]	K. Mustapha and W. McLean, Uniform convergence for a discontinuous Galerkin, time-stepping method applied to a fractional diffusion equation, IMA J. Numer. Anal., 32 (2012), 906-925. doi: 10.1093/imanum/drr027.
[21]	K. Mustapha, M. Nour and B. Cockburn, Convergence and superconvergence analyses of HDG methods for time fractional diffusion problems, Adv. Comput. Math., 42 (2016), 377-393. doi: 10.1007/s10444-015-9428-x.
[22]	I. Podlubny, Fractional Differential Equations, volume 198 of Mathematics in Science and Engineering, Academic Press, Inc., San Diego, CA, 1999. An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications.
[23]	I. Podlubny, Geometric and physical interpretation of fractional integration and fractional differentiation, Fract. Calc. Appl. Anal., 5 (2002), 367–386. Dedicated to the 60th anniversary of Prof. Francesco Mainardi.
[24]	J. Russell, Report of the committee on waves, Rep. Meet. Brit. Assoc. Adv. Sci., 7th Liverpool, 1837, London, John Murray.
[25]	M. Stynes, E. O'Riordan and J. Gracia, Error analysis of a finite difference method on graded meshes for a time-fractional diffusion equation, SIAM J. Numer. Anal., 55 (2017), 1057-1079. doi: 10.1137/16M1082329.
[26]	I. Turner, F. Liu, V. Anh and P. Zhuang, Time fractional advection dispersion equation, J. Appl. Math. Comput., 13 (2003), 233-245. doi: 10.1007/BF02936089.
[27]	L. Wei, Y. He, A. Yildirim and S. Kumar, Numerical algorithm based on an implicit fully discrete local discontinuous Galerkin method for the time-fractional KdV-Burgers-Kuramoto equation, ZAMM Z. Angew. Math. Mech., 93 (2013), 14-28. doi: 10.1002/zamm.201200003.
[28]	G. H. Weiss, R. Klages, G. Radons and I. M. Sokolov (eds.), Anomalous transport: Foundations and applications [book review of WILEY-VCH Verlag GmbH & Co., Weinheim, 2008], J. Stat. Phys., 135 (2009), 389-391. doi: 10.1007/s10955-009-9713-5.
[29]	G. B. Witham, Linear and Nonlinear Waves, Wiley-Interscience [John Wiley & Sons], New York-London-Sydney, 1974.
[30]	N. Zabusky and M. Kruskal, Interactions of solitons in a collisionless plasma and the recurrence of initial states, Phys. Rev. Lett., 15 (1965), 240-243. doi: 10.1103/PhysRevLett.15.240.
[31]	Q. Zhang, J. Zhang, S. Jiang and Z. Zhang, Numerical solution to a linearized time fractional KdV equation on unbounded domains, Math. Comput., 87 (2018), 693-719. doi: 10.1090/mcom/3229.