Conserving Mass, Momentum, and Energy for the Benjamin–Bona–Mahony, Korteweg–de Vries, and Nonlinear Schrödinger Equations

Abstract. We propose and study a class of arbitrarily high-order numerical discretizations that preserve multiple invariants and are essentially explicit (they do not require the solution of any large systems of algebraic equations). In space, we use Fourier Galerkin methods, while in time we use a combination of orthogonal projection and relaxation. We prove and numerically demonstrate the conservation properties of the method by applying it to the Benjamin–Bona–Mahony, Korteweg–de Vries, and nonlinear Schrödinger (NLS) PDEs as well as a hyperbolic approximation of NLS. For each of these equations, the proposed schemes conserve mass, momentum, and energy up to numerical precision. We show that this conservation leads to reduced growth of numerical errors for long-term simulations. Reproducibility of computational results. This paper has been awarded the “SIAM Reproducibility Badge: Code and data available” as a recognition that the authors have followed reproducibility principles valued by SISC and the scientific computing community. Code and data that allow readers to reproduce the results in this paper are available at https://zenodo.org/doi/10.5281/zenodo.17936837 . [Formula: see text]

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Publication Details

Journal
SIAM Journal on Scientific Computing
Published
2026-08-14
DOI
https://doi.org/10.1137/25m183314x
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Conserving Mass, Momentum, and Energy for the Benjamin–Bona–Mahony, Korteweg–de Vries, and Nonlinear Schrödinger Equations

SIAM Journal on Scientific Computing
Numerical methods for differential equations
article

Conserving Mass, Momentum, and Energy for the Benjamin–Bona–Mahony, Korteweg–de Vries, and Nonlinear Schrödinger Equations

article en

Abstract

Abstract. We propose and study a class of arbitrarily high-order numerical discretizations that preserve multiple invariants and are essentially explicit (they do not require the solution of any large systems of algebraic equations). In space, we use Fourier Galerkin methods, while in time we use a combination of orthogonal projection and relaxation. We prove and numerically demonstrate the conservation properties of the method by applying it to the Benjamin–Bona–Mahony, Korteweg–de Vries, and nonlinear Schrödinger (NLS) PDEs as well as a hyperbolic approximation of NLS. For each of these equations, the proposed schemes conserve mass, momentum, and energy up to numerical precision. We show that this conservation leads to reduced growth of numerical errors for long-term simulations. Reproducibility of computational results. This paper has been awarded the “SIAM Reproducibility Badge: Code and data available” as a recognition that the authors have followed reproducibility principles valued by SISC and the scientific computing community. Code and data that allow readers to reproduce the results in this paper are available at https://zenodo.org/doi/10.5281/zenodo.17936837 . [Formula: see text]

SIAM Journal on Scientific ComputingVol. 48(4)
Johannes Gutenberg University Mainz (DE), King Abdullah University of Science and Technology (SA)
Deutsche Forschungsgemeinschaft, King Abdullah University of Science and Technology
Openalex Percentile: Top 90%
Numerical methods for differential equations
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