在第六阶非线性施罗丁格方程中,先进的单元结构和圆波模式使用改进的修改扩展的tanh函数方法
Mina M Fahim1,2, Hamdy M Ahmed3, K A Dib4
1Basic Science Department, Faculty of Engineering, The British University in Egypt, El shorouk, Cairo, Egypt. Mina.fahim@bue.edu.eg.
Scientific reports
|December 17, 2025
概括
这项研究将非线性施罗丁格方程 (NLSE) 扩展到第六阶,揭示了新的单元和波结构. 这些发现增强了对光纤和波导系统非线性动态的理解.
科学领域:
- 非线性物理学 非线性物理学
- 光学是什么?光学是什么?光学是什么?
- 波浪的传播方式
背景情况:
- 非线性施罗丁格方程 (NLSE) 对于模拟波浪现象至关重要.
- 高级非线性和分散效应在先进的光学系统中至关重要.
- 现有的NLSE模型可能无法完全捕捉复杂的动态.
研究的目的:
- 调查NLSE的第六阶可整合的扩展.
- 在光学系统中建模更高阶的非线性和分散效应.
- 发现新的分析解决方案,了解非线性波浪行为.
主要方法:
- 使用了改进的修改扩展的tanh函数方法.
- 为第六阶段NLSE获得了精确的分析解决方案.
- 使用二维和三维图形模拟进行分析.
主要成果:
- 获得了一个完整的精确分析解决方案家族.
- 发现了明亮的单子,黑暗的单子,奇异的单子和奇异的周期解.
- 确定了新的单体和圆波结构,包括雅科比和韦尔斯特拉斯函数.
结论:
- 第六阶NLSE扩展揭示了丰富的非线性动态.
- 澄清了周期和局部波浪行为之间的过渡.
- 这些发现对超快光学和非线性波导技术有潜在的影响.
相关概念视频
Equations of Wave Motion
8.2K
Mathematically, the motion of a wave can be studied using a wavefunction. Consider a string oscillating up and down in simple harmonic motion, having a period T. The wave on the string is sinusoidal and is translated in the positive x-direction as time progresses. Sine is a function of the angle θ, oscillating between +A and −A and repeating every 2π radians. To construct a wave model, the ratio of the angle θ and the position x is considered.
8.2K
Linear Approximation in Time Domain
318
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
318
Standing Waves
5.2K
Sometimes waves do not seem to move; rather, they just vibrate in place. Unmoving waves can be seen on the surface of a glass of milk kept in a refrigerator, which is one example of standing waves. Vibrations from the refrigerator motor create waves on the milk that oscillate up and down but do not seem to move across the surface. These waves are formed or created by the superposition of two or more identical moving waves in opposite directions. The waves move through each other, with their...
5.2K
Modes of Standing Waves - I
3.9K
A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This...
3.9K
Modes of Standing Waves: II
1.6K
The starting point for expressing the modes of standing waves is understanding the boundary conditions that the waves must follow. The boundary conditions are derived from the physical understanding of how the standing waves are sustained, that is, how the vibrating particles of the medium behave at the boundaries imposed on them.
For a tube open at one end and closed at the other filled with air, the modes are such that there is always an antinode at the open end and a node at the closed end....
For a tube open at one end and closed at the other filled with air, the modes are such that there is always an antinode at the open end and a node at the closed end....
1.6K
Properties of Fourier series II
500
Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
A function f(t) is...
500


