2018
DOI: 10.1186/s13662-018-1743-3
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Non-polynomial spline method for the time-fractional nonlinear Schrödinger equation

Abstract: In this paper, we propose a cubic non-polynomial spline method to solve the time-fractional nonlinear Schrödinger equation. The method is based on applying the L 1 formula to approximate the Caputo fractional derivative and employing the cubic non-polynomial spline functions to approximate the spatial derivative. By considering suitable relevant parameters, the scheme of order O(τ 2-α + h 4) has been obtained. The unconditional stability of the method is analyzed by the Fourier analysis. Numerical experiments … Show more

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Cited by 27 publications
(32 citation statements)
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References 35 publications
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“…As shown in Theorem 5.1 , the numerical scheme ( 2.25 )–( 2.27 ) achieves sixth order convergence in the spatial dimension. This improves the work of [ 36 ] where the spatial convergence order is observed to be four through numerical experiment. Furthermore, in [ 36 ] the authors have only proved the stability of their scheme, while we have proven the stability, unique solvability and convergence of our method by the Fourier method.…”
Section: Convergence Of the Numerical Schemesupporting
confidence: 75%
See 1 more Smart Citation
“…As shown in Theorem 5.1 , the numerical scheme ( 2.25 )–( 2.27 ) achieves sixth order convergence in the spatial dimension. This improves the work of [ 36 ] where the spatial convergence order is observed to be four through numerical experiment. Furthermore, in [ 36 ] the authors have only proved the stability of their scheme, while we have proven the stability, unique solvability and convergence of our method by the Fourier method.…”
Section: Convergence Of the Numerical Schemesupporting
confidence: 75%
“…For the time-fractional Schrödinger equation: Khan et al [ 32 ] have applied the homotopy analysis method; Mohebbi et al [ 47 ] have used the Kansa approach to approximate the spatial derivative and L 1 discretization to approximate the Caputo time-fractional derivative; a Krylov projection method has been developed in [ 22 ]; a Jacobi spectral collocation method has been applied to a multi-dimensional time-fractional Schrödinger equation in [ 4 ]; a quadratic B-spline Galerkin method combined with L 1 discretization scheme has been proposed in [ 16 ]; a linearized L 1-Galerkin finite element method has been used in [ 35 ] for a multi-dimensional nonlinear time-fractional Schrödinger equation; a cubic non-polynomial spline method combined with L 1 discretization has been proposed in [ 36 ] and the stability has been shown by the Fourier method, the convergence order is not proved but is observed from numerical experiments to be .…”
Section: Introductionmentioning
confidence: 99%
“…which show that (P 1 ) is satisfied. Hence, by Corollary 5, we deduce that problems (15) and (16) admits no global weak solution.…”
Section: Example 1 Consider the Fractional In Time Nonlinear Schrödimentioning
confidence: 69%
“…For further interesting contributions to the analysis of the blow-up behavior of solutions to fractional nonlinear Schrödinger problems, we mention the papers of Fino-Dannawi-Kirane [12] (semilinear equation with fractional Laplacian), Ionescu-Pusateri [13] (equation in dimension one with cubic nonlinearities) and Kirane-Nabti [14] (nonlocal in time equation). Finally, we recall the paper of Li-Ding-Xu [15] where a cubic non-polynomial spline method is implemented to solve the time-fractional nonlinear Schrödinger equation. Furthermore, the stability of the method is analyzed by Fourier analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Mohyu-Din et al [15] investigated the extended Bspline solution of time fractional advection diffusion equation by means of a fully implicit finite difference scheme. Li et al [16] developed a non-polynomial spline scheme to solve time fractional nonlinear Schrodinger equation. In [17], Pezza and Pitolli used a fractional spline collocation Galerkin scheme to develop series solution for time fractional diffusion equation.…”
Section: Introductionmentioning
confidence: 99%