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在流体动力学中探索Kuramoto-Sivashinsky方程的精确解与向导噪声
Sofian T Obeidat1, Doaa Rizk2, Wael W Mohammed1,3
1Department of Mathematics, College of Science, University of Ha'il, Ha'il 2440, Hail, Saudi Arabia.
Scientific reports
|November 29, 2025
概括
研究人员发现了一个准确的解决方案,用于随机的库拉莫托-Sivashinsky (SKS) 方程使用辅向噪声. 这涉及到解决一个确定形式和一个随机普通微分方程,与噪声.
科学领域:
- 非线性动力学是一种非线性动力学.
- 随机局部微分方程 随机局部微分方程
- 数学物理 数学物理
背景情况:
- 库拉莫托-西瓦辛斯基方程模拟了诸如火焰传播和表面动态等现象.
- 了解噪声对这些系统的影响对于准确的建模至关重要.
研究的目的:
- 为了获得一个准确的分析解决方案的随机库拉莫托-Sivashinsky (SKS) 方程与向导噪声.
- 为了研究向导噪声对SKS方程行为的影响.
主要方法:
- 使用[公式:参见文本]扩展方法解决决定性的Kuramoto-Sivashinsky (DKS) 方程.
- 将DKS解决方案与随机普通微分方程的解决方案结合起来.
- 使用MATLAB进行数值模拟和对噪声效应的可视化.
主要成果:
- 建立了由助力噪声驱动的SKS方程的确切解决方法.
- [公式:参见文本]扩展方法为DKS方程提供了精确的解决方案.
- 马特拉布可视化展示了向导噪声对SKS解决方案的显著影响.
结论:
- 这项研究提供了一种新的方法来解决SKS方程与向导噪声.
- 这些发现扩展了以前的无噪声库拉莫托-西瓦辛斯基方程的结果.
- 导向噪声在塑造SKS方程的动态方面发挥着至关重要的作用.
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