Optimal decay of the magnetohydrodynamic model for quantum plasmas with potential force

This paper considers the quantum magnetohydrodynamic model for quantum plasmas with potential force. We prove the optimal decay rates for the higher order derivative of the global small solution to the stationary state in the whole space. Specially, we show the optimal $ \dot{H}^{k} $ decay rate $ \sim (1+t)^{\frac{3}{4}+\frac{k}{2}} $, which improves the work of Xu and Pu (Discrete Contin. Dyn. Syst. Ser. B, 26, 2021). The proof is based on the optimal decay of the linearized equations, multi-frequency decompositions, and nonlinear energy estimates.

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Publication Details

Journal
Discrete and Continuous Dynamical Systems - B
Published
2025-01-01
DOI
https://doi.org/10.3934/dcdsb.2025054
Primary Topic
Advanced Mathematical Physics Problems
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal decay of the magnetohydrodynamic model for quantum plasmas with potential force

Xueke Pu, Xiaoyu Xi, Xiuli Xu
Discrete and Continuous Dynamical Systems - B
Advanced Mathematical Physics Problems
article

Optimal decay of the magnetohydrodynamic model for quantum plasmas with potential force

Xueke Pu, Xiaoyu Xi, Xiuli Xu
article en

Abstract

This paper considers the quantum magnetohydrodynamic model for quantum plasmas with potential force. We prove the optimal decay rates for the higher order derivative of the global small solution to the stationary state in the whole space. Specially, we show the optimal $ \dot{H}^{k} $ decay rate $ \sim (1+t)^{\frac{3}{4}+\frac{k}{2}} $, which improves the work of Xu and Pu (Discrete Contin. Dyn. Syst. Ser. B, 26, 2021). The proof is based on the optimal decay of the linearized equations, multi-frequency decompositions, and nonlinear energy estimates.

Discrete and Continuous Dynamical Systems - BVol. 30(10)
Guangzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Natural Science Foundation of Zhejiang Province
Affordable and clean energy
Openalex Percentile: Top 88%
Advanced Mathematical Physics Problems
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