Abstract
Here, we develop a Petrov-Galerkin spectral method for the fractional Helmholtz equations (FHEs) of even order ν = s + k,s ∈ (k − 1,k) and k ∈ℕ. We define trial and test functions by related generalized Jacobi functions (GJFs). Moreover, we efficiently establish the well-posedness of problem and provide the rigorous priori error estimates. Furthermore, by auxiliary equation, we also obtain the super-approximation estimates. Notably, we propose a post-processing technique for the Petrov-Galerkin spectral method, and give the error estimates of corrected solution. In addition, we define a posteriori error estimators, and prove that they are asymptotically accurate. Finally, we demonstrate the sharpness of our error estimates by numerical experiments.
Similar content being viewed by others
References
Du, Q., Gunzburger, M., Lehoucq, R.B., Zhou, K.: Analysis and approximation of nonlocal diffusion problems with volume constraints. SIAM. Rev. 54(4), 667–696 (2012)
Kilbas, A.A., Srivastava, H.M., Trujillo, J.J.: heory and applications of fractional differential equations, vol. 204. Elsevier Science Limited (2006)
Jin, B., Lazarov, R., Zhou, Z.: A Petrov-Galerkin finite element method for fractional convection-diffusion equations. SIAM J. Numer. Anal. 54(1), 481–503 (2016)
Yang, Y., Chen, Y., Huang, Y., Wei, H.: Spectral collocation method for the time-fractional diffusion-wave equation and convergence analysis. Comput. Math. Appl. 73(6), 1218–1232 (2017)
Das, P., Rana, S., Ramos, H.: A perturbation-based approach for solving fractional-order Volterra-Fredholm integro differential equations and its convergence analysis. Int. J. Comput. Math. 97(10), 1994–2014 (2020)
Das, P., Rana, S., Ramos, H.: On the approximate solutions of a class of fractional order nonlinear Volterra integro-differential initial value problems and boundary value problems of first kind and their convergence analysis. J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2020.113116 (2020)
Das, P., Rana, S.: Theoretical prospects of fractional order weakly singular volterra integro differential equations and their approximations with convergence analysis. Math. Methods Appl. Sci. https://doi.org/10.1002/mma.7369 (2021)
Das, P.: Comparison of a priori and a posteriori meshes for singularly perturbed nonlinear parameterized problems. J. Comput. Appl. Math. 290, 16–25 (2015)
Tadjeran, C., Meerschaert, M.M.: A second-order accurate numerical method for the two-dimensional fractional diffusion equation. J. Comput. Phys. 220(2), 813–823 (2007)
Ervin, V.J., Heuer, N., Roop, J.P.: Numerical approximation of a time dependent, nonlinear, space-fractional diffusion equation. SIAM J. Numer. Anal. 45(2), 572–591 (2007)
Jin, B., Lazarov, R., Zhou, Z.: Error estimates for a semidiscrete finite element method for fractional order parabolic equations. SIAM J. Numer. Anal. 51(1), 445–466 (2013)
Li, X., Xu, C.: A space-time spectral method for the time fractional diffusion equation. SIAM J. Numer. Anal 47(3), 2108–2131 (2009)
Li, X., Xu, C.: Existence and uniqueness of the weak solution of the space-time fractional diffusion equation and a spectral method approximation. Commun. Comput. Phys 8(5), 1016 (2010)
Zayernouri, M., Karniadakis, G.E.: Fractional sturm-liouville eigen-problems: theory and numerical approximation. J. Comput. Phys. 252(1), 495–517 (2013)
Zayernouri, M., Karniadakis, G.E.: Discontinuous spectral element methods for time- and space-fractional advection equations. SIAM J. Sci. Comput. 36(4), B684–B707 (2014)
Zayernouri, M., Karniadakis, G.E.: A Petrov-Galerkin spectral element method for fractional elliptic problems. Comput. Method. Appl. M. 324, 512–536 (2017)
Song, F., Xu, C.: Spectral direction splitting methods for two-dimensional space fractional diffusion equations. J. Comput. Phys. 299, 196–214 (2015)
Chen, S., Shen, J., Wang, L.: Generalized Jacobi functions and their applications to fractional differential equations. Math. Comput. 85(300), 1603–1638 (2016)
Mao, Z., Chen, S., Shen, J.: Efficient and accurate spectral method using generalized Jacobi functions for solving riesz fractional differential equations. Appl. Numer. Math. 106, 165–181 (2016)
Das, P., Natesan, S.: Richardson extrapolation method for singularly perturbed convection-diffusion problems on adaptively generated mesh. Cmes-Comp. Model. Eng. Sci. 90(6), 463–485 (2013)
Das, P.: A higher order difference method for singularly perturbed parabolic partial differential equations. J. Differ. Equ. Appl. 24(3), 452–477 (2018)
Das, P., Vigo-Aguiar, J.: Parameter uniform optimal order numerical approximation of a class of singularly perturbed system of reaction diffusion problems involving a small perturbation parameter. J. Comput. Appl. Math. 354, 533–544 (2019)
Shakti, D., Mohapatra, J., Das, P., Vigo-Aguiar, J.: A moving mesh refinement based optimal accurate uniformly convergent computational method for a parabolic system of boundary layer originated reaction-diffusion problems with arbitrary small diffusion terms. J. Comput. Appl. Math. https://doi.org/10.1016/j.cam.2020.113167 (2020)
Ye, X., Xu, C.: A posteriori error estimates for the fractional optimal control problems. J. Inequal. Appl. 2015(1), 141 (2015)
Cen, Z., Le, A., Xu, A.: A posteriori error analysis for a fractional differential equation. Int. J. Comput. Math. 94(6), 1185–1195 (2017)
Kumar, K., Podila, P.C., Das, P., Ramos, H.: A graded mesh refinement approach for boundary layer originated singularly perturbed time–delayed parabolic convection diffusion problems. Math. Methods Appl. Sci. https://doi.org/10.1002/mma.7358 (2021)
Das, P.: An a posteriori based convergence analysis for a nonlinear singularly perturbed system of delay differential equations on an adaptive mesh. Numer. Algorithm. 81, 465–487 (2019)
Diethelm, K.: The analysis of fractional differential equations: An application-oriented exposition using differential operators of caputo type. Springer Science & Business Media (2010)
Podlubny, I.: Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications, vol. 198. Elsevier (1998)
Szeg, G.: Orthogonal polynomials, vol. 23. American Mathematical Soc. (1939)
Shen, J., Tang, T., Wang, L.L.: Spectral methods: algorithms, analysis and applications. Springer Publishing Company, Incorporated (2011)
Babuška, I., Aziz, A.k.: Survey lectures on the mathematical foundations of the finite element method. Esaim-Math. Model. Num. 45(4), 1–359 (2011)
Zhao, X., Xie, Z.: Sharp error bounds for Jacobi expansions and Gegenbauer-Gauss quadrature of analytic functions. SIAM J. Numer. Anal 51(3), 1443–1469 (2013)
Yi, L., Guo, B.: A-posteriori error estimation for the Legendre spectral galerkin method in one-dimension. Numer. Math-Theory. Me. 3(1), 40–52 (2010)
Samko, S.G., Kilbas, A.A., Marichev, O.L.: Fractional integrals and derivatives. Gordon and Breach Science Publishers, Yverdon Yverdon-les-Bains, Switzerland (1993)
Funding
This work is supported by the State Key Program of National Natural Science Foundation of China (11931003) and National Natural Science Foundation of China (41974133, 11671157).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Mao, W., Chen, Y. & Wang, H. A posteriori error estimations of the Petrov-Galerkin methods for fractional Helmholtz equations. Numer Algor 89, 1095–1127 (2022). https://doi.org/10.1007/s11075-021-01147-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11075-021-01147-0