Rogue Waves in the Generalized Derivative Nonlinear Schrodinger Equations

被引:68
|
作者
Yang, Bo [1 ]
Chen, Junchao [2 ]
Yang, Jianke [1 ]
机构
[1] Univ Vermont, Dept Math & Stat, Burlington, VT 05405 USA
[2] Lishui Univ, Dept Math, Lishui 323000, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Rogue waves; Derivative nonlinear Schrodinger equations; Bilinear method; BREATHER; SOLITON; SYSTEMS; NLS;
D O I
10.1007/s00332-020-09643-8
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
General rogue waves are derived for the generalized derivative nonlinear Schrodinger (GDNLS) equations by a bilinear Kadomtsev-Petviashvili (KP) reduction method. These GDNLS equations contain the Kaup-Newell equation, the Chen-Lee-Liu equation and the Gerdjikov-Ivanov equation as special cases. In this bilinear framework, it is shown that rogue waves to all members of these equations are expressed by the same bilinear solution. Compared to previous bilinear KP reduction methods for rogue waves in other integrable equations, an important improvement in our current KP reduction procedure is a new parameterization of internal parameters in rogue waves. Under this new parameterization, the rogue wave expressions through elementary Schur polynomials are much simpler. In addition, the rogue wave with the highest peak amplitude at each order can be obtained by setting all those internal parameters to zero, and this maximum peak amplitude at orderNturns out to be 2N + 1 times the background amplitude, independent of the individual GDNLS equation and the background wavenumber. It is also reported that these GDNLS equations can be decomposed into two different bilinear systems which require different KP reductions, but the resulting rogue waves remain the same. Dynamics of rogue waves in the GDNLS equations is also analyzed. It is shown that the wavenumber of the constant background strongly affects the orientation and duration of the rogue wave. In addition, some new rogue patterns are presented.
引用
收藏
页码:3027 / 3056
页数:30
相关论文
共 50 条
  • [21] Multi-rogue waves and rational solutions of the coupled nonlinear Schrodinger equations
    Zhai, Bao-Guo
    Zhang, Wei-Guo
    Wang, Xiao-Li
    Zhang, Hai-Qiang
    NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2013, 14 (01) : 14 - 27
  • [22] High-order rogue waves in vector nonlinear Schrodinger odinger equations
    Ling, Liming
    Guo, Boling
    Zhao, Li-Chen
    PHYSICAL REVIEW E, 2014, 89 (04)
  • [23] Vector rogue waves in integrable M-coupled nonlinear Schrodinger equations
    Rao, Jiguang
    Porsezian, Kuppuswamy
    Kanna, T.
    Cheng, Yi
    He, Jingsong
    PHYSICA SCRIPTA, 2019, 94 (07)
  • [24] Controllable rogue waves in coupled nonlinear Schrodinger equations with varying potentials and nonlinearities
    Cheng, Xueping
    Wang, Jianyong
    Li, Jinyu
    NONLINEAR DYNAMICS, 2014, 77 (03) : 545 - 552
  • [25] Breathers and breather-rogue waves on a periodic background for the derivative nonlinear Schrodinger equation
    Xue, Bo
    Shen, Jing
    Geng, Xianguo
    PHYSICA SCRIPTA, 2020, 95 (05)
  • [26] Rogue waves generation through multiphase solutions degeneration for the derivative nonlinear Schrodinger equation
    Xu, Shuwei
    He, Jingsong
    Mihalache, Dumitru
    NONLINEAR DYNAMICS, 2019, 97 (04) : 2443 - 2452
  • [27] Solitary waves of coupled nonlinear Schrodinger equations: a generalized method
    Hosseini, K.
    Hincal, E.
    Obi, O. A.
    Mirzazadeh, M.
    OPTICAL AND QUANTUM ELECTRONICS, 2023, 55 (07)
  • [28] Implicit Solitary Waves for One of the Generalized Nonlinear Schrodinger Equations
    Kudryashov, Nikolay A.
    MATHEMATICS, 2021, 9 (23)
  • [29] Rogue waves for a generalized nonlinear Schrodinger equation with distributed coefficients in a monomode optical fiber
    Sun, Yan
    Tian, Bo
    Liu, Lei
    Wu, Xiao-Yu
    CHAOS SOLITONS & FRACTALS, 2018, 107 : 266 - 274
  • [30] Dynamics of the higher-order rogue waves for a generalized mixed nonlinear Schrodinger model
    Wang, Lei
    Jiang, Dong-Yang
    Qi, Feng-Hua
    Shi, Yu-Ying
    Zhao, Yin-Chuan
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2017, 42 : 502 - 519