Stability Satisfied Numerical Approximates to the Non-analytical Solutions of the Cubic Schrödinger Equation
For researchers solving nonlinear Schrödinger equations, this provides a numerical method that handles non-analytical solutions, but the contribution is incremental as it combines existing techniques.
The paper develops a differential quadrature algorithm based on sinc functions to solve the cubic Schrödinger equation, achieving accurate numerical solutions for both analytical and non-analytical initial data while conserving two quantities and controlling time step via matrix stability analysis.
The time dependent complex Schrödinger equation with cubic nonlinearity is solved by constructing differential quadrature algorithm based on sinc functions. Reduction to a coupled system of real equations enables to approach the space derivative terms by the proposed method. The resulted ordinary differential equation system is integrated with respect to the time variable by using a bunch explicit methods of lower and higher orders. Some initial boundary value problems containing some analytical and non-analytical initial data are solved for experimental illustrations. The computational errors between the analytical and numerical solutions are measured by the discrete maximum error norm in case the analytical solution exists. The two conserved quantities are calculated by using the numerical results in all cases. The matrix stability analysis is implemented to control the time step size.