| Issue |
ESAIM: M2AN
Volume 59, Number 6, November-December 2025
|
|
|---|---|---|
| Page(s) | 3249 - 3281 | |
| DOI | https://doi.org/10.1051/m2an/2025072 | |
| Published online | 17 December 2025 | |
Efficient finite element methods for semiclassical nonlinear Schrödinger equations with random potentials
1
Department of Mathematics, The University of Hong Kong, Hong Kong, P.R. China
2
Materials Innovation Institute for Life Sciences and Energy (MILES), HKU-SIRI, Shenzhen, P.R. China
* Corresponding author: zhangzw@hku.hk
Received:
31
December
2024
Accepted:
29
August
2025
In this paper, we propose two time-splitting finite element methods to solve the semiclassical nonlinear Schrödinger equation (NLSE) with random potentials. We then introduce a multiscale method to reduce the degrees of freedom in the physical space. We construct multiscale basis functions by solving optimization problems and rigorously analyze the corresponding time-splitting multiscale reduced methods for the semiclassical NLSE with random potentials. We provide the L2 error estimate of the proposed methods and show that they achieve second-order accuracy in both spatial and temporal spaces and an almost first-order convergence rate in the random space. Additionally, we introduce the proper orthogonal decomposition method to reduce the computational cost of constructing basis functions for solving random NLSEs. Finally, we carry out several 1D and 2D numerical examples to validate the convergence of our methods and investigate wave propagation behaviors in the NLSE with random potentials.
Mathematics Subject Classification: 35Q55 / 65M60 / 81Q05 / 47H40
Key words: Semiclassical nonlinear Schrödinger equation / finite element method / multiscale finite element method / random potentials / time-splitting methods
© The authors. Published by EDP Sciences, SMAI 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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