分析技术和各种混沌识别工具用于时间分数对称调整长波方程
Mohammad Safi Ullah1, Md Mehedi Hasan1, Md Aman Mahbub2
1Department of Mathematics, Comilla University, Cumilla, 3506, Bangladesh.
Scientific reports
|December 30, 2025
概括
本研究使用[公式:参见文本]扩展技术解决了非线性可变时间分数对称调整长波方程,揭示了各种精确的解决方案,并证实了该方法.
科学领域:
- 非线性动力学是一种非线性动力学.
- 数学物理 数学物理
- 分数微积分的计算.
背景情况:
- 非线性符合时间分数对称调整长波 (SRLW) 方程模拟了流体流中的记忆效应和光纤中的弱非线性脉冲演变.
- 理解这些现象需要强大的分析和数值方法来解决复杂的分数微分方程.
研究的目的:
- 解决非线性符合时间分数SRLW方程.
- 为了获得各种精确的解决方案,并分析系统的混乱行为.
主要方法:
- [公式:参见文本]扩展技术被用来推导出精确的解决方案.
- 使用混乱识别工具,如奇怪的吸引子,返回地图和利亚普诺夫指数.
- 为解决方案生成了三维表示和密度图.
主要成果:
- 获得了各种精确的解决方案,包括呼吸波,扭曲的呼吸波,双重的呼吸波和带有扭曲,块或暗亮单独波的局部呼吸波.
- 通过使用各种分析工具,成功检测到系统的混乱性质.
- 展示了解决方案的真实,想象和绝对值部分的可视化.
结论:
- [公式:参见文本]扩展技术对于解决非线性符合时间分数问题是有效的.
- 该研究为SRLW方程所描述的复杂动态提供了宝贵的见解.
- 这些发现强调了该方法在各种科学和数学领域的适用性.
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