Inverse scattering transform for the coupled Lakshmanan–Porsezian–Daniel equations with non-zero boundary conditions in optical fiber communications

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2025-06-01 Epub Date: 2025-01-11 DOI:10.1016/j.matcom.2025.01.008
Peng-Fei Han , Ru-Suo Ye , Yi Zhang
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Abstract

The challenge of solving the initial value problem for the coupled Lakshmanan–Porsezian–Daniel equations which involves non-zero boundary conditions at infinity is addressed by the development of a suitable inverse scattering transform. Analytical properties of the Jost eigenfunctions are examined, along with the analysis of scattering coefficient characteristics. This analysis not only leads to the derivation of additional auxiliary eigenfunctions but also is necessary for a comprehensive investigation of the fundamental eigenfunctions. Two symmetry conditions are discussed for studying the eigenfunctions and scattering coefficients. These symmetry results are utilized to rigorously define the discrete spectrum and ascertain the corresponding symmetries of scattering datas. The inverse scattering problem is formulated by the Riemann–Hilbert problem. Subsequently, we derive analytical solutions from the coupled Lakshmanan–Porsezian–Daniel equations with a detailed examination of the novel soliton solutions.
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光纤通信中非零边界条件下耦合Lakshmanan-Porsezian-Daniel方程的逆散射变换
通过发展一种合适的逆散射变换,解决了涉及无穷远处非零边界条件的耦合Lakshmanan-Porsezian-Daniel方程初值问题。研究了约斯特特征函数的解析性质,并分析了散射系数的特性。这种分析不仅可以推导出附加的辅助特征函数,而且对基本特征函数的全面研究也是必要的。讨论了研究本征函数和散射系数的两种对称条件。利用这些对称性结果严格地定义了离散谱,并确定了相应的散射数据的对称性。逆散射问题由黎曼-希尔伯特问题表述。随后,我们从耦合的Lakshmanan-Porsezian-Daniel方程中导出了解析解,并详细研究了新的孤子解。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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