A structure-preserving relaxation Crank–Nicolson finite element method for the Schrödinger–Poisson equation

Abstract In this paper, we propose a mass- and modified energy-conservative relaxation Crank–Nicolson finite element method for the Schrödinger–Poisson (SP) equation. Utilising only a single auxiliary variable, we simultaneously reformulate the distinct nonlinear terms present in both the Schrödinger equation and the Poisson equation into their equivalent expressions, constructing a system equivalent to the original SP equation. Our proposed scheme, derived from this equivalent system, is implemented linearly, avoiding the need for iterative techniques to solve the nonlinear equation. Additionally, it is executed sequentially, eliminating the need to solve a coupled large linear system. We in turn rigorously derive the optimal error estimates for the proposed scheme, demonstrating second-order accuracy in time and $(k+1)$th-order accuracy in space when employing polynomials of degree up to $k$. Numerical experiments validate the accuracy and effectiveness of our method and emphasise its conservation properties over long-time simulations.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2025-09-24
DOI
https://doi.org/10.1093/imanum/draf117
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

A structure-preserving relaxation Crank–Nicolson finite element method for the Schrödinger–Poisson equation

Peimeng Yin, Nianyu Yi, Huini Liu
IMA Journal of Numerical Analysis
Advanced Numerical Methods in Computational Mathematics
article

A structure-preserving relaxation Crank–Nicolson finite element method for the Schrödinger–Poisson equation

Peimeng Yin, Nianyu Yi, Huini Liu
article en

Abstract

Abstract In this paper, we propose a mass- and modified energy-conservative relaxation Crank–Nicolson finite element method for the Schrödinger–Poisson (SP) equation. Utilising only a single auxiliary variable, we simultaneously reformulate the distinct nonlinear terms present in both the Schrödinger equation and the Poisson equation into their equivalent expressions, constructing a system equivalent to the original SP equation. Our proposed scheme, derived from this equivalent system, is implemented linearly, avoiding the need for iterative techniques to solve the nonlinear equation. Additionally, it is executed sequentially, eliminating the need to solve a coupled large linear system. We in turn rigorously derive the optimal error estimates for the proposed scheme, demonstrating second-order accuracy in time and $(k+1)$th-order accuracy in space when employing polynomials of degree up to $k$. Numerical experiments validate the accuracy and effectiveness of our method and emphasise its conservation properties over long-time simulations.

IMA Journal of Numerical Analysis
The University of Texas at El Paso (US), Xiangtan University (CN)
Openalex Percentile: Top 33%
Advanced Numerical Methods in Computational Mathematics
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