Convergence of a Normalized Gradient Algorithm for Computing Ground States
classification
🧮 math.NA
keywords
algorithmapproximationdiscretizationerrorestimatesgradientgroundmethod
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We consider the approximation of the ground state of the one-dimensional cubic nonlinear Schr{\"o}dinger equation by a normalized gradient algorithm combined with linearly implicit time integrator, and finite difference space approximation. We show that this method, also called imaginary time evolution method in the physics literature, is con-vergent, and we provide error estimates: the algorithm converges exponentially towards a modified solitons that is a space discretization of the exact soliton, with error estimates depending on the discretization parameters.
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