Efficient finite element methods for semiclassical nonlinear Schrödinger equations with random potentials

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 L 2 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.

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Publication Details

Journal
ESAIM. Mathematical modelling and numerical analysis
Published
2025-09-01
DOI
https://doi.org/10.1051/m2an/2025072
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00

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article

Efficient finite element methods for semiclassical nonlinear Schrödinger equations with random potentials

Panchi Li, Zhiwen Zhang
ESAIM. Mathematical modelling and numerical analysis
Numerical methods in inverse problems
article

Efficient finite element methods for semiclassical nonlinear Schrödinger equations with random potentials

Panchi Li, Zhiwen Zhang
article en

Abstract

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 L 2 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.

ESAIM. Mathematical modelling and numerical analysisVol. 59(6)
University of Hong Kong (HK)
National Natural Science Foundation of China
Openalex Percentile: Top 71%
Numerical methods in inverse problems
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Efficient finite element methods for semiclassical nonlinear Schrödinger equations with random potentials — Panchi Li, Zhiwen Zhang · ESAIM. Mathematical modelling and numerical analysis (2025) | TGRS Research Map | TGRS