On the origin of heavy-tail statistics in equations of the Nonlinear Schrodinger type

被引:29
|
作者
Onorato, Miguel [1 ,2 ]
Proment, Davide [3 ]
El, Gennady [4 ]
Randoux, Stephane [5 ]
Suret, Pierre [5 ]
机构
[1] Univ Torino, Dipartimento Fis, I-10125 Turin, Italy
[2] INFN, Sez Torino, I-10125 Turin, Italy
[3] Univ East Anglia, Sch Math, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England
[4] Univ Loughborough, Dept Math Sci, Loughborough LE11 3TU, Leics, England
[5] Univ Lille, Lab Phys Lasers Atomes & Mol, UMR 8523, CNRS, Villeneuve Dascq, France
关键词
Rogue waves; Freak waves; Nonlinear Schrodinger; ROGUE WAVES;
D O I
10.1016/j.physleta.2016.07.048
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study the formation of extreme events in incoherent systems described by the Nonlinear Schrodinger type of equations. We consider an exact identity that relates the evolution of the normalized fourth-order moment of the probability density function of the wave envelope to the rate of change of the width of the Fourier spectrum of the wave field. We show that, given an initial condition characterized by some distribution of the wave envelope, an increase of the spectral bandwidth in the focusing/defocusing regime leads to an increase/decrease of the probability of formation of rogue waves. Extensive numerical simulations in 10+1 and 2D+1 are also performed to confirm the results. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:3173 / 3177
页数:5
相关论文
共 50 条
  • [41] DIFFERENCE-SCHEMES FOR NONLINEAR SCHRODINGER TYPE EQUATIONS
    IVANAUSKAS, FF
    DOKLADY AKADEMII NAUK SSSR, 1990, 314 (01): : 55 - 58
  • [42] Integrable Hierarchy of Higher Nonlinear Schrodinger Type Equations
    Kundu, Anjan
    SYMMETRY INTEGRABILITY AND GEOMETRY-METHODS AND APPLICATIONS, 2006, 2
  • [43] Estimating Heavy-Tail Exponents Through Max Self-Similarity
    Stoev, Stilian A.
    Michailidis, George
    Taqqu, Murad S.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2011, 57 (03) : 1615 - 1636
  • [44] Discrete analogues for two nonlinear Schrodinger type equations
    Zhao, Song-lin
    Feng, Wei
    Jin, Yong-yang
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2019, 72 : 329 - 341
  • [45] On a class of spatial discretizations of equations of the nonlinear Schrodinger type
    Kevrekidis, P. G.
    Dmitriev, S. V.
    Sukhorukov, A. A.
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2007, 74 (4-5) : 343 - 351
  • [46] A New Probability Heavy-Tail Model for Stochastic Modeling under Engineering Data
    El-Morshedy, M.
    Eliwa, M. S.
    Al-Bossly, Afrah
    Yousof, Haitham M.
    JOURNAL OF MATHEMATICS, 2022, 2022
  • [47] Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
    Deng, G
    2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5, 2005, : 261 - 264
  • [48] Risk measure method expect return under heavy-tail distribution
    Wu, Qing-Xiao
    Liu, Hai-Long
    Xu, You-Chuan
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2009, 43 (04): : 521 - 525
  • [49] Long-range dependence and heavy-tail modeling for teletraffic data
    Cappé, O
    Moulines, E
    Pesquet, JC
    Petropulu, AP
    Yang, XS
    IEEE SIGNAL PROCESSING MAGAZINE, 2002, 19 (03) : 14 - 27
  • [50] Conditional heavy-tail behavior with applications to precipitation and river flow extremes
    Kinsvater, Paul
    Fried, Roland
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2017, 31 (05) : 1155 - 1169