Focusing;
Nonlinear Schrodinger;
Long time asymptotics;
Integrable systems;
Riemann-Hilbert;
Soliton resolution;
INVERSE SCATTERING;
INITIAL DATA;
SYSTEMS;
LIMIT;
NLS;
D O I:
10.1016/j.anihpc.2017.08.006
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
We study the Cauchy problem for the focusing nonlinear Schrodinger (fNLS) equation. Using the (partial derivative)over-bar generalization of the nonlinear steepest descent method we compute the long-time asymptotic expansion of the solution psi(x, t) in any fixed space-time cone C(x(1), x(2), v(1), v(2)) = {(x, t) is an element of R-2 : x = x(0) + v(t) with x(0) is an element of [x(1), x(2)], v is an element of [v(1), v(2)]} up to an (optimal) residual error of order O(t(-3/4)). In each cone C the leading order term in this expansion is a multi-soliton whose parameters are modulated by soliton-soliton and soliton-radiation interactions as one moves through the cone. Our results require that the initial data possess one L-2(R) moment and (weak) derivative and that it not generate any spectral singularities. (C) 2017 Elsevier Masson SAS. All rights reserved.
机构:
Univ Lille, Lab Paul Painleve, UMR 8524, CNRS, Villeneuve Dascq, France
HCMC Univ Pedag, Dept Math, 280 An Duong Vuong, Ho Chi Minh, VietnamUniv Lille, Lab Paul Painleve, UMR 8524, CNRS, Villeneuve Dascq, France
Van Duong Dinh
Keraani, Sahbi
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机构:
Univ Lille, Lab Paul Painleve, UMR 8524, CNRS, Villeneuve Dascq, FranceUniv Lille, Lab Paul Painleve, UMR 8524, CNRS, Villeneuve Dascq, France
Keraani, Sahbi
Majdoub, Mohamed
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机构:
Imam Abdulrah Man Bin Faisal Univ, Coll Sci, Dept Math, POB 1982, Dammam, Saudi Arabia
Imam Abdulrahman Bin Faisal Univ, Basic & Appl Sci Res Ctr, Dammam 31441, Saudi ArabiaUniv Lille, Lab Paul Painleve, UMR 8524, CNRS, Villeneuve Dascq, France
机构:
Sorbonne Univ, BC 187,4 Pl Jussieu, F-75252 Paris 05, France
CNRS, Lab Jacques Louis Lions, BC 187,4 Pl Jussieu, F-75252 Paris 05, FranceSorbonne Univ, BC 187,4 Pl Jussieu, F-75252 Paris 05, France
机构:
Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China