1. Gaussian wave packet transform based numerical scheme for the semi-classical Schrödinger equation with random inputs
- Author
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Liu Liu, Shi Jin, Zhennan Zhou, and Giovanni Russo
- Subjects
Physics and Astronomy (miscellaneous) ,Wave packet ,FOS: Physical sciences ,Gaussian wave packet ,Schrodinger equation ,Stochastic collocation ,Uncertainty quantification ,010103 numerical & computational mathematics ,Space (mathematics) ,01 natural sciences ,Schrödinger equation ,82C10, 82C80 ,symbols.namesake ,FOS: Mathematics ,Applied mathematics ,Mathematics - Numerical Analysis ,Limit (mathematics) ,0101 mathematics ,Mathematical Physics ,Mathematics ,Numerical Analysis ,Partial differential equation ,Applied Mathematics ,Ode ,Numerical Analysis (math.NA) ,Mathematical Physics (math-ph) ,Computer Science Applications ,010101 applied mathematics ,Computational Mathematics ,Modeling and Simulation ,Ordinary differential equation ,symbols ,Random variable - Abstract
In this work, we study the semi-classical limit of the Schrodinger equation with random inputs, and show that the semi-classical Schrodinger equation produces O ( e ) oscillations in the random variable space. With the Gaussian wave packet transform, the original Schrodinger equation is mapped to an ordinary differential equation (ODE) system for the wave packet parameters coupled with a partial differential equation (PDE) for the quantity w in rescaled variables. Further, we show that the w equation does not produce e dependent oscillations, and thus it is more amenable for numerical simulations. We propose multi-level sampling strategy in implementing the Gaussian wave packet transform, where in the most costly part, i.e. simulating the w equation, it is sufficient to use e independent samples. We also provide extensive numerical tests as well as meaningful numerical experiments to justify the properties of the numerical algorithm, and hopefully shed light on possible future directions.
- Published
- 2020
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