光学与光子学中Kundu-Mukherjee-Naskar系统波长反射器中的波现象

IF 3.7 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ozlem Kirci , Yusuf Pandir
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引用次数: 0

摘要

本文分析了控制光纤布拉格光栅(FBG)中波动动力学的(2+1)维Kundu-Mukherjee-Naskar (KMN)方程的耦合变化。这个版本模拟了两个非线性波之间的相互作用,而这个方程的单模态表征了非线性波在单通道或介质中的传播,其中只考虑了一个波。求解解析解的新版本试方程法(NVTEM)因其解结构范围广而受到重视。解析波解不仅是数学结构,而且有助于揭示潜在的物理机制。在此基础上,本文推导并分析了耦合KMN方程的各种精确波解,如类流氓孤子、双峰束缚态、高阶流氓波和符号计算支持的亮块解等,以确保其有效性。首先通过复波变换将KMN系统转化为非线性常微分方程(NLODE)。应用该方法,已获得了有理型、指数型、双曲型和雅可比椭圆型解。二维和三维图被用来描述我们构建的发现的动态,并建立了所提出的分析技术的丰富性。此外,在我们的研究结果中,一些有趣的方面可能会提到一些物理意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wave phenomena in a wavelength-specific reflector for the Kundu–Mukherjee–Naskar system in optics and photonics
In this research, the coupled variation of the (2+1)-dimensional Kundu–Mukherjee–Naskar (KMN) equation, which governs the wave dynamics in fiber Bragg grating (FBG), is analyzed. This version models the interaction between two nonlinear waves, while the single mode of this equation characterizes nonlinear wave propagation in a single channel or medium where only one wave is considered. To find analytical solutions, the new version trial equation method (NVTEM) is regarded due to its wide range of solution structures. Analytic wave solutions are not just mathematical constructs but also help reveal the underlying physical mechanisms. Motivated by this, the present work derives and analyzes a variety of exact wave solutions to the coupled KMN equation, such as rogue-like soliton, double-peaked bound state, high-order rogue waves, and bright-lump solution supported by symbolic computation to ensure their validity. The KMN system is first converted to a nonlinear ordinary differential equation (NLODE) via the complex wave transform. Applying the proposed technique, rational, exponential, hyperbolic, and Jacobi elliptic type solutions have been acquired. The two and three-dimensional plots have been utilized to depict the dynamics of our constructed findings and to establish the abundance of the proposed analytical technique as well. Besides, some physical implications may be mentioned through interesting aspects in our findings.
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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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