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1. Introduction
Many nonlinear partial differential equations especially soliton equations have exact solutions [1–3]. There are a lot of methods to solve soliton equations such as the Hirota bilinear method [2–6], Wronskian technique (Casoratian technique) [5–9], and Darboux transformation [10, 11]. The inverse scattering transformation (IST) is one of the most powerful tools and closely connected with those methods mentioned above [1, 3]. It is also called nonlinear Fourier transform for its procedure to solve the nonlinear equations is similar to the linear Fourier transform. One advantage of the IST is that it can be applied to the whole soliton hierarchies [3]. Recently, researches show that the IST can solve not only classic soliton hierarchies but also soliton equations with self-consistent sources [12], nonisospectral soliton hierarchies [13], hierarchies mixed with isospectral and nonisospectral ones [14], and nonlocal soliton hierarchies [15]. Furthermore, it can generate both soliton and general matrix exponent solutions [16, 17].
The Riemann-Hilbert (RH) approach is another effective method to solve soliton equations. It actually shares a close relationship with the IST [18–20]. Both of them start from same matrix spectral problems which possess bounded eigenfunctions analytically extendable to the upper or lower half-plane. To get scattering data, we must consider the asymptotic conditions at infinity on real axis by the IST to solve soliton equations. In fact, the considered conditions are used as the solutions to the corresponding RH problems. When the jump matrix is an identity matrix, the RH problem is equivalent to the IST with reflectionless potentials, and
It is known to us all that the three famous derivative nonlinear Schrödinger equations, the Chen-Lee-Liu (CLL) equation [17, 27], Kaup-Newell (KN) equation [28], and Gerdjikov-Ivanov (GI) equation [29, 30], can be reduced from the Kundu equation by choosing different value of the arbitrary parameter [31, 32]. Many properties of them have been researched such as exact solutions [30, 33], conservation laws [34], multi-Hamilton structure [31], and
In this paper, we will present the multicomponent KN equation with its
The paper is organized as follows. In Section 2, we will introduce the multicomponent isospectral KN equation and its Lax pairs. In Section 3, we will construct a multicomponent RH problem to the equation introduced in the previous section. In Section 4, the expression of
2. The Multicomponent KN Equation
In this section, we will present the isospectral multicomponent KN equation from a
Suppose that
where
Obviously,
The compatibility condition of (1), i.e., the zero curvature equation
For example, when
Its time evolution is
The 4-component KN equation is
3. The RH Problem to the Multicomponent KN Equation
In this section, we will build the RH problem to the multicomponent KN equation (5). Here, we only focus on the positive flows. Constructing the RH problem from negative symmetry flows have already appeared in [36] for the homogeneous
Setting
it is obvious that the trace of
Thus, the equation (5) has the following Lax pairs
Next, we will present the scattering and inverse scattering methods for the multicomponent KN equation (5) by the RH approach. The resulting results will lay the groundwork for
In the RH approach, we treat
where
where
Let us now consider the formulation of an associated RH problem with the variable
respectively. The subscripts above refer to which end of the
is the scattering matrix. Note that
Thus,
where
is analytic in the first and third quadrants of
is analytic in the second and fourth quadrants of
Next, we construct the analytic counterpart of
It is easy to see that the inverse matrices
where
is analytic when
is analytic for
Now, we have constructed two matrix functions
we can easily find that if
Eq. (32) and Eq.(33) are exactly the associated matrix RH problem we wanted to present. The asymptotic conditions
To finish the direct scattering transform, we take the derivative of (19) with time
and the other scattering data do not depend on time
4.
The RH problems with zeros can generate soliton solutions. The uniqueness of the associated RH problem (32) does not hold unless the zeros of det
where we have used the fact
Suppose that
The RH problem (32) with the canonical normalization condition (35) and the zero structure (40) can be solved explicitly, and thus, one can readily reconstruct the potential
inserting this expansion into (16) and comparing
To obtain soliton solutions, we set
Noting that the zeros
The time dependence of
can be determined similarly through an associated RH problem with the variable
and thus by (44), the
5. Conclusions
In general, we construct the RH problem for the multicomponent KN equation in this paper. To build the special RH problem with the identity jump matrix, we introduced a variable transformation to canonical normalization spectral problem. By recombining the solutions of the canonical spectral problem and its adjoint spectral problem, a general jump matrix to the special RH problem was constructed. Letting the general jump matrix to be identity jump matrix, the RH problem was solved. Finally, we obtained the expression of the
In this method, the jump matrix is corresponding to the scattering matrix, and the identity jump matrix is equivalent to reflectionless coefficient of the IST. It is well known that there are not only soliton solutions to soliton equations but also rational solutions, Matveev solutions, complexiton solutions, and so on. Recently, there have been active studies on lumps and their interaction solutions with solitons [37, 38]. It would be very interesting to generalize this method to (
Acknowledgments
The work was supported in part by NSFC under the grants 11101350, 11671177, and 11771186; the Jiangsu Qing Lan Project (2014); and the Six Talent Peaks Project of Jiangsu Province (2016-JY-08).
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Abstract
A Riemann-Hilbert approach is developed to the multicomponent Kaup-Newell equation. The formula is presented of
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