Abstract
This article deals with the numerical integration in time of the nonlinear Schrödinger equation with power law nonlinearity and random dispersion. We introduce a new explicit exponential integrator for this purpose that integrates the noisy part of the equation exactly. We prove that this scheme is of mean-square order 1 and we draw consequences of this fact. We compare our exponential integrator with several other numerical methods from the literature. We finally propose a second exponential integrator, which is implicit and symmetric and, in contrast to the first one, preserves the L2-norm of the solution.
| Original language | English |
|---|---|
| Pages (from-to) | 592-613 |
| Number of pages | 22 |
| Journal | Stochastics and Partial Differential Equations: Analysis and Computations |
| Volume | 5 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Dec 2017 |
Keywords
- Exponential integrators
- Geometric numerical integration
- Mean-square convergence
- Nonlinear Schrödinger equation
- Numerical methods
- Stochastic partial differential equations
- White noise dispersion
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