Efficient numerical approximations for a nonconservative nonlinear Schrödinger equation appearing in wind-forced ocean waves

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Agissilaos Athanassoulis, Theodoros Katsaounis, Irene Kyza
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引用次数: 0

Abstract

We consider a nonconservative nonlinear Schrödinger equation (NCNLS) with time-dependent coefficients, inspired by a water waves problem. This problem does not have mass or energy conservation, but instead mass and energy change in time under explicit balance laws. In this paper, we extend to the particular NCNLS two numerical schemes which are known to conserve energy and mass in the discrete level for the cubic nonlinear Schrödinger equation. Both schemes are second-order accurate in time, and we prove that their extensions satisfy discrete versions of the mass and energy balance laws for the NCNLS. The first scheme is a relaxation scheme that is linearly implicit. The other scheme is a modified Delfour–Fortin–Payre scheme, and it is fully implicit. Numerical results show that both schemes capture robustly the correct values of mass and energy, even in strongly nonconservative problems. We finally compare the two numerical schemes and discuss their performance.

风力海浪中出现的非保守非线性薛定谔方程的高效数值近似值
受水波问题的启发,我们考虑了一个系数随时间变化的非守恒非线性薛定谔方程(NCNLS)。该问题不存在质量或能量守恒,而是在显式平衡定律下质量和能量随时间变化。在本文中,我们将两种已知的离散级能量和质量守恒数值方案扩展到特定的 NCNLS,用于立方非线性薛定谔方程。这两种方案在时间上都是二阶精确的,而且我们证明了它们的扩展方案满足 NCNLS 质量和能量平衡定律的离散版本。第一种方案是线性隐含的松弛方案。另一种方案是改进的德尔福-福尔廷-帕雷方案,它是完全隐式的。数值结果表明,这两种方案都能稳健地捕捉到质量和能量的正确值,即使在强非保守问题中也是如此。最后,我们比较了两种数值方案,并讨论了它们的性能。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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