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Jin-Jin Mao

Publications and source records attributed to Jin-Jin Mao.

2 recordsLinked to original sources

Riemann-Hilbert approach and $N$-soliton solutions for a new four-component nonlinear Schrödinger equation

A new four-component nonlinear Schrödinger equation is first proposed in this work and studied by Riemann-Hilbert approach. Firstly, we derive a Lax pair associated with a $5\times5$ matrix spectral problem for the four-component nonlinear Schrödinger equation. Then based on the Lax pair, we analyze the spectral problem and the analytical properties of the Jost functions, from which the Riemann-Hilbert problem of the equation is successfully established. Moreover, we obtain the $N$-soliton solutions of the equation by solving the Riemann-Hilbert problem without reflection. Finally, we derive two special cases of the solutions to the equation for $N=1$ and $N=2$, and the local structure and dynamic behavior of the one-and two-soliton solutions are analyzed graphically.

nlin.SI↗

Riemann-Hilbert approach for the NLSLab equation with nonzero boundary conditions

We consider the inverse scattering transform for the nonlinear Schrödinger equation in laboratory coordinates (NLSLab equation) with nonzero boundary conditions (NZBCs) at infinity. In order to better deal with the scattering problem of NZBCs, we introduce the two-sheeted Riemann surface of $κ$, then it convert into the standard complex $z$-plane. In the direct scattering problem, we study the analyticity, symmetries and asymptotic behaviors of the Jost function and the scattering matrix in detail. In addition, we establish the discrete spectrum, residual conditions, trace foumulae and theta conditions for the case of simple poles and double poles. The inverse problems of simple poles and double poles are from the Riemann-Hilbert problem (RHP). Finally, we obtain some soliton solutions of the NLSLab equation, including stationary solitons, non-stationary solitons and multi-soliton solutions. Some features of these soliton solutions caused by the influences of each parameters are analyzed graphically in order to control such nonlinear phenomena.

nlin.SI↗