A numerical method for solving the time fractional Schrödinger equation
- 110 Downloads
Abstract
In this article, we proposed a new numerical method to obtain the approximation solution for the time-fractional Schrödinger equation based on reproducing kernel theory and collocation method. In order to overcome the weak singularity of typical solutions, we apply the integral operator to both sides of differential equation and yield a integral equation. We divided the solution of this kind equation into two parts: imaginary part and real part, and then derived the approximate solutions of the two parts in the form of series with easily computable terms in the reproducing kernel space. New bases of reproducing kernel spaces are constructed and the existence of approximate solution is proved. Numerical examples are given to show the accuracy and effectiveness of our approach.
Keywords
Time-fractional Schrödinger equation Reproducing kernel theory Approximate solutionsMathematics Subject Classification (2010)
41A10 41A15Preview
Unable to display preview. Download preview PDF.
References
- 1.Nigmatullin, R.: The realization of the generalized transfer equation in a medium with fractal geometry. Phys. Status Solidi 133(1), 425–430 (1986)MathSciNetCrossRefGoogle Scholar
- 2.Friedrich, C.: Relaxation functions of rheological constitutive equations with fractional derivatives: thermodynamical constraints. Rheological Model.: Thermodynamical Stat. Approaches 14(8), 321–330 (1991)MATHGoogle Scholar
- 3.Metzler, R., Klafter, J.: The random walk’s guide to anomalous diffusion: a fractional dynamics approach. Phys. Rep. 339(1), 1–77 (2000)MathSciNetCrossRefMATHGoogle Scholar
- 4.Jin, B., Lazarov, R., Pasciak, J., Rundell, W.: A finite element method for the fractional Sturm-Liouville Problem[J]. Mathematics 40(3), 512–8 (2013)Google Scholar
- 5.Jin, B., Lazarov, R., et al.: Error estimates for approximations of distributed order time fractional diffusion with nonsmooth Data[J]. Fractional Calculus Appl. Anal. 19(1), 69–93 (2016)MathSciNetMATHGoogle Scholar
- 6.Jin, B., Lazarov, R., et al.: The Galerkin finite element method for a multi-term time-fractional diffusion equation[J]. J. Comput. Phys. 281, 825–843 (2014)MathSciNetCrossRefMATHGoogle Scholar
- 7.Jiang, W., Chen, Z.: Solving a system of linear Volterra integral equations using the new reproducing kernel method. Appl. Math. Comput. 219, 10225–10230 (2013)MathSciNetMATHGoogle Scholar
- 8.Xu, M.Q., Lin, Y.Z.: Simplified reproducing kernel method for fractional differential equations with delay. Appl. Math. Lett. 52, 156–161 (2016)MathSciNetCrossRefMATHGoogle Scholar
- 9.Jiang, W., Lin, Y.: Approximate solution of the fractional advection-dispersion equation. Comput. Phys. Commun. 181, 557–561 (2010)MathSciNetCrossRefMATHGoogle Scholar
- 10.Rozmej, P., Bandrowski, B.: On fractional Schrodinger equation. Comput. Method Sci. Tech. 16, 191–4 (2010)CrossRefGoogle Scholar
- 11.Adda, B.F., Cresson, J.: Fractional differential equations and the Schrodinger equation. Appl. Math. Comput. 161, 45–323 (2005)MathSciNetMATHGoogle Scholar
- 12.Garrappa, R., Moret, I., Popolizio, M.: Solving the time-fractional Schröinger equation by Krylov projection methods. J. Comput. Phys. 293, 115–134 (2015)MathSciNetCrossRefMATHGoogle Scholar
- 13.Dehghan, M., Taleei, A.: A compact split-step finite difference method for solving the nonlinear Schrodinger equations with constant and variable coefficients. Comput. Phys. Commun. 181, 43–51 (2010)MathSciNetCrossRefMATHGoogle Scholar
- 14.Wei, L., He, Y., Zhang, X., Wang, S.: Analysis of an implicit fully discrete local discontinuous Galerkin method for the time-fractional Schrödinger equation. Finite Elem. Anal. Des. 59, 28–34 (2012)MathSciNetCrossRefGoogle Scholar
- 15.Mohebbi, A., Abbaszadeh, M., Dehghan, M.: The use of a meshless technique based on collocation and radial basis functions for solving the time fractional nonlinear Schrödinger equation arising in quantum mechanics. Eng. Anal. Boundary Element 37, 475–485 (2013)CrossRefMATHGoogle Scholar
- 16.Ozawa, T., Sunagawa, H.: Small data blow-up for a system of nonlinear Schrödinger equations[J]. J. Math. Anal. Appl. 399(1), 147–155 (2012)CrossRefMATHGoogle Scholar
- 17.Merle, F., Raphael, P., Rodnianski, I.: Blow up dynamics for smooth data equivariant solutions to the critical schrödinger map problem[J]. Invent. Math. 193(2), 249–365 (2013)MathSciNetCrossRefMATHGoogle Scholar
- 18.Glassey, R.T.: On the blowing up of solutions to the Cauchy problem for nonlinear Schrödinger equations[J]. J. Math. Phys. 18(9), 1794–1797 (1976)CrossRefMATHGoogle Scholar
- 19.Besse, C., Carles, R., Mauser, N.J., et al.: Monotonicity properties of the blow-up time for nonlinear Schr\(\ddot {\mathrm {o}}\)dinger equations: numerical evidence[J]. Discrete Cont. Dyn. Syst. - Ser. B 1(1), 11–36 (2008)MATHGoogle Scholar
- 20.Aronszain, N.: Theory of reproducing kernels, transactions of the american mathematical society. Trans. Am. Math. Soc. 68(3), 337–404 (1950)CrossRefGoogle Scholar
- 21.Cui, M., Lin, Y.: Nonlinear Numerical Analysis in the Reproducing Kernel Space. Nova Science Publisher, New York (2009)MATHGoogle Scholar