Efficient composition conservative schemes for the Zakharov equations

In this paper, we designed efficient conservative numerical schemes for the Zakharov system by leveraging the composition method. The core elements of our approach are as follows. First, the original Zakharov system was transformed into a Hamiltonian system through the use of the variational derivative. Then, the derived system was discretized by integrating the composition method into the Fourier pseudo-spectral method, thus obtaining fully-discrete conservative schemes. These proposed schemes are of the implicit-explicit type and can precisely preserve the discrete mass and Hamiltonian energy. To confirm the theoretical findings and demonstrate the effectiveness and conservation characteristics of our method, we conducted numerous numerical experiments.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025379
Primary Topic
Numerical methods for differential equations
Type
article
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article

Efficient composition conservative schemes for the Zakharov equations

Xiaopeng Yue, Yayun Fu, Yan Zhang, Yuyang Gao
AIMS Mathematics
Numerical methods for differential equations
article

Efficient composition conservative schemes for the Zakharov equations

Xiaopeng Yue, Yayun Fu, Yan Zhang, Yuyang Gao
article en

Abstract

In this paper, we designed efficient conservative numerical schemes for the Zakharov system by leveraging the composition method. The core elements of our approach are as follows. First, the original Zakharov system was transformed into a Hamiltonian system through the use of the variational derivative. Then, the derived system was discretized by integrating the composition method into the Fourier pseudo-spectral method, thus obtaining fully-discrete conservative schemes. These proposed schemes are of the implicit-explicit type and can precisely preserve the discrete mass and Hamiltonian energy. To confirm the theoretical findings and demonstrate the effectiveness and conservation characteristics of our method, we conducted numerous numerical experiments.

AIMS MathematicsVol. 10(4)
Jilin University (CN), Xuchang University (CN)
Climate action
Openalex Percentile: Top 89%
Numerical methods for differential equations
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