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Solutions of the nonlocal (2+1)-D breaking solitons hierarchy and the negative order AKNS hierarchy

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Published 27 March 2020 © 2020 Chinese Physical Society and IOP Publishing Ltd
, , Citation Jing Wang et al 2020 Commun. Theor. Phys. 72 045002 DOI 10.1088/1572-9494/ab7705

0253-6102/72/4/045002

Abstract

The (2+1)-dimensional nonlocal breaking solitons AKNS hierarchy and the nonlocal negative order AKNS hierarchy are presented. Solutions in double Wronskian form of these two hierarchies are derived by means of a reduction technique from those of the unreduced hierarchies. The advantage of our method is that we start from the known solutions of the unreduced bilinear equations, and obtain solitons and multiple-pole solutions for the variety of classical and nonlocal reductions. Dynamical behaviors of some obtained solutions are illustrated. It is remarkable that for some real nonlocal equations, amplitudes of solutions are related to the independent variables that are reversed in the real nonlocal reductions.

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1. Introduction

Recently, ${ \mathcal P }{ \mathcal T }$-symmetric integrable nonlocal nonlinear Schrödinger equation

Equation (1)

was proposed by Ablowitz and Musslimani [1], which is reduced from the second-order Ablowitz–Kaup–Newell–Segur (AKNS) system with reduction $r(x,t)=\mp {q}^{* }(-x,t)$. It is ${ \mathcal P }{ \mathcal T }$-symmetric because of the potential $V(x,t)\,=\pm q(x,t){q}^{* }(-x,t)={V}^{* }(-x,t)$ (see [2, 3]). Since then, more and more integrable nonlocal systems, such as nonlocal Davey–Stewartson model, nonlocal Korteweg–de Vries model and so forth, were proposed (e.g. [49]). Classical solving methods, such as the inverse scattering transform and Darboux transformation (e.g. [1, 5, 1014]), have been successfully used to find solutions of nonlocal integrable systems. However, the bilinear method cannot be directly applied to the nonlocal case as it is difficult to define a 'nonlocal' Hirota's bilinear operator. Recently, Chen et al [1518] developed a reduction technique of double Wronskians on unreduced bilinear equations to obtain solutions to those reduced equations, including nonlocal ones. One advantage of this method is that one only needs to make use of the solutions (most of them are known) of the unreduced bilinear equations. The other advantage is one can obtain N-soliton solutions for the whole hierarchy, rather than implementing reductions solution by solution and equation by equation (see [19]).

The (2+1)-dimensional breaking solitons equations ware first systematically investigated by Bogoyavlenskii [2026]. Such models can be used to describe two-dimensional interaction of a Riemann wave with transverse long waves (see [20, 21]). Mathematically, these equations can be constructed based on (1+1)-D Lax pairs by imposing an evolution in y-direction in both spectral parameters and eigenfunctions (see [21, 24]). The (2+1)-D breaking AKNS(BAKNS in brief) equations were first proposed in [24], and has been investigated from many aspects (e.g. [2731]). And recently, bilinear form and double Wronskian solutions of (2+1)-D BAKNS hierarchy were worked out [32]. In this paper, we will take into account of bilinearization-reduction technique and derive double Wronskian solutions for the classical and nonlocal (2+1)-D BAKNS hierarchy and the negative order AKNS hierarchy. Note that the negative order AKNS equations also exhibits interesting dynamical behaviors (see [33]).

This paper is organized as follows. In section 2 we recall the unreduced (2+1)-D BAKNS hierarchy, its bilinear form and double Wronskian solutions. In section 3 we present classical and nonlocal reductions of the (2+1)-D BAKNS hierarchy. In section 4, solutions in double Wronskian form of the reduced (2+1)-D BAKNS hierarchies are derived by means of the reduction technique from those of the unreduced hierarchy. Section 5 is contributed to the negative order AKNS hierarchy. Finally, section 6 consists of concluding remarks.

2. Unreduced (2+1)-D BAKNS hierarchy and solutions

Let us recall the unreduced (2+1)-D BAKNS hierarchy, its bilinear form and double Wronskian solutions.

The unreduced (2+1)-D BAKNS hierarchy reads [27]

Equation (2)

where $u={(q,r)}^{{\rm{T}}}$, L is a recursion operator

Equation (3)

in which ${\partial }_{x}=\tfrac{\partial }{{\partial }_{x}}$ and ${\partial }_{x}{\partial }_{x}^{-1}={\partial }_{x}^{-1}{\partial }_{x}=1$. This hierarchy is related to the AKNS spectral problem [24]

Equation (4)

and

where ${\lambda }_{{t}_{n}}={\left(2\lambda \right)}^{n}{\lambda }_{y}$ and

The hierarchy (2) can be rewritten as

Equation (5a)

Equation (5b)

with n = 1, 2, 3, ⋯ and setting t0 = y. Introducing transformation

Equation (6)

the hierarchy is written as the following bilinear form [32]

Equation (7a)

Equation (7b)

Equation (7c)

for n ≥ 1, where Hirota's bilinear operator D is defined as [34]

Theorem 1. System (7) admits double Wronskian solutions [32]

Equation (8a)

Equation (8b)

Equation (8c)

Here, $\varphi $ and $\psi $ are respectively $(n+m+2)$th order column vectors

Equation (9)

defined by

Equation (10)

where $A$ is a $(n+m+2)\times (n+m+2)$ constant matrix in ${{\mathbb{C}}}_{(m+n+2)\times (m+n+2)}$ and

Equation (11)

${\widehat{\varphi }}^{(n)}$ and ${\widehat{\psi }}^{(m)}$ respectively denote $(n+m+2)\times (n+1)$ and $(n+m+2)\times (m+1)$ Wronski matrices

Equation (12)

It is easy to find that for the odd members in the unreduced (2+1)-D BAKNS hierarchy (2)

Equation (13)

their solutions are given through (6) and (8) where

Equation (14)

and for the even members

Equation (15)

their solutions are given through (6) and (8) where

Equation (16)

3. Reductions of the (2+1)-D BAKNS hierarchy

3.1. Classical reductions

The odd hierarchy (13) allows a classical complex reduction

Equation (17)

where i is the imaginary unit and ∗ stands for complex conjugate. And the representative one is

Equation (18)

The even hierarchy (15) allows classical complex reduction

Equation (19)

when l = 1, the corresponding equation is

Equation (20)

3.2. Nonlocal reductions

For the odd hierarchy (13), first, it allows a real nonlocal reduction

Equation (21)

where the simplest one-component equation reads

Equation (22)

Equation (13) also allows a complex nonlocal reduction

Equation (23)

and the resulted simplest one-component equation is

Equation (24)

The even hierarchy (15) also allows two types of reductions. One is real

Equation (25)

and the resulted simplest one-component equation is

Equation (26)

where

Equation (27)

The other reduction is complex

Equation (28)

and the resulted simplest one-component equation is

Equation (29)

where $\widetilde{q}$ is given as (27).

It is remarkable that the integration operator ${\partial }_{x}^{-1}$ should specially take the form

Equation (30)

which has played an important role in nonlocal reduction involved with x (see [16, 18]). For example, for the integration term ${\partial }_{x}^{-1}{\left({qr}\right)}_{y}$ in (5) with n = 1, one can handle it as the following. First, introduce

Then we have

which provides a clear expression for the integration term with nonlocal reduction.

4. Reduction of solutions

4.1. Nonlocal cases

In the following we implement the reduction procedure on the double Wronskian solutions, by which solutions for the reduced nonlocal hierarchies can be obtained from those of the unreduced (2+1)-D BAKNS hierarchy (2) presented in theorem 1.

4.1.1. Reduction (21)

Theorem 2. The nonlocal hierarchy

Equation (31)

allows the following solution

Equation (32)

where $\varphi ={({\varphi }_{1},{\varphi }_{2},\cdots ,{\varphi }_{2n+2})}^{{\rm{T}}}$, $\psi ={({\psi }_{1},{\psi }_{2},\cdots ,{\psi }_{2n+2})}^{{\rm{T}}}$(i.e. m = n in (9)), defined by (14) and satisfy

Equation (33a)

Equation (33b)

in which $T$ is a constant matrix determined through

Equation (34a)

Equation (34b)

Proof. It follows from (14), (33b) and (34a) that

which gives rise to the the constraint (33a). Thus, f, g, h in (8) (with m = n) are expressed as

Equation (35a)

Equation (35b)

Equation (35c)

where we employed a notation (see [15])

Next, with assumption (34b), we have

and in a similar way

which then give rise to

This is nothing but the reduction (21). Thus we complete the proof.□

Solutions of (34) can be written out by assuming T and A to be block matrices

Equation (36)

where Ti and Ki are (n + 1) × (n + 1) matrices and Ki is a complex matrix. We list them in table 1.

One can prove that A and any of its similar forms lead to same solution (32). We only need to consider canonical form of A. When

Equation (37)

we get

Equation (38)

When ${{\bf{K}}}_{n+1}$ is a $(n+1)\times (n+1)$ Jordan matrix ${J}_{n+1}(k)$

Equation (39)

we get

Equation (40)

where

Equation (41)

As examples, for equation (22) with different (σ, δ), its one-soliton solution (1SS) are

Equation (42a)

Equation (42b)

Equation (42c)

Equation (42d)

where we have taken $k={k}_{1},\,t={t}_{1},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

Next, let us quickly investigate dynamics of ${q}_{(\sigma ,\delta )}={q}_{(1,-1)}$ which is governed by equation

Equation (43)

Its 1SS (42a) is rewritten as

Equation (44)

which is a moving wave with an initial phase $\mathrm{ln}\tfrac{| c| }{| d| }$ and a y-dependent amplitude $\tfrac{2{cdk}\,{{\rm{e}}}^{2{k}^{2}y}}{| {cd}| }$. The top trajectory is $x(t)=2{k}^{2}t+\tfrac{\mathrm{ln}\left|\tfrac{c}{d}\right|}{2k}$, and travel velocity is 2k2. Fixing y, the trajectory of one-solton in coordinate frame {x, t} is depicted as figure 1(a).

Figure 1.

Figure 1. (a). Shape and motion of 1SS (42a) for equation (43), in which k = 1, c = 1, d = 1, y = 0. (b). Shape and motion of 2SS (45) for equation (43), in which ${k}_{1}=0.8,{k}_{2}=-0.6,{c}_{1}=1$, ${c}_{2}=1,{d}_{1}=1,{d}_{2}=2,y=0$. (c). Shape and motion of 2SS (45) for equation (43), in which ${k}_{1}=1.2,{k}_{2}=-0.8,{c}_{1}=1,{c}_{2}=1,{d}_{1}=-1,{d}_{2}=2,y=0$. 1(d). Breather provided by (45) for equation (43), in which ${k}_{1}=0.8+0.6i,{k}_{2}=0.8-0.6i,{c}_{1}=1$, ${c}_{2}=1,{d}_{1}=1,{d}_{2}=1,y=0$.

Standard image High-resolution image

The 2SS of equation (43) can be written as

Equation (45)

where

and we note that 2SS is non-singular if ${c}_{1}{c}_{2}{d}_{1}{d}_{2}{k}_{1}{k}_{2}\lt 0$. As shown in figures 1(b)–(d), there are three types of two-soliton interactions, respectively are soliton-soliton interaction, soliton-anti-soliton interaction and breather soliton. To investigate asymptotic behavior of the first two types solution interactions, we make asymptotic analysis for t going to infinity in the case of ${k}_{1}\gt -{k}_{2}\gt 0$. To do that, we first rewrite the 2SS (45) in the following coordinate

Equation (46)

fix X1, let $t\to \pm \infty $, and we get

Equation (47)

It shows that along the line X1 = constant, there is a soliton; when $t\to \pm \infty $, the soliton asymptotically follows

Equation (48a)

Equation (48b)

and phase shift after interaction is $\tfrac{{\rm{ln}}\tfrac{{k}_{1}+{k}_{2}}{{k}_{1}-{k}_{2}}}{{k}_{1}}$.

We can also rewrite the 2SS (45) in the coordinate $({X}_{2}=x-2{k}_{2}^{2}t,t)$. By fixing X2, we can obtain

Equation (49)

It indicates that along the line X2= constant, there is a soliton; when $t\to \pm \infty $, the soliton asymptotically follows

Equation (50a)

Equation (50b)

and the phase shift after interaction is $\tfrac{{\rm{ln}}\tfrac{{k}_{1}+{k}_{2}}{{k}_{1}-{k}_{2}}}{{k}_{2}}$.

Supposing ${k}_{1}\gt -{k}_{2}\gt 0,{c}_{1}{c}_{2}{d}_{1}{d}_{2}{k}_{1}{k}_{2}\lt 0$, from the asymptotic analysis, we can obtain that if $\mathrm{sgn}[{c}_{1}{d}_{1}]\,=\mathrm{sgn}[{c}_{2}{d}_{2}]$, it will appear soliton-soliton interaction, such as figure 1(b); if $\mathrm{sgn}[{c}_{1}{d}_{1}]=-\mathrm{sgn}[{c}_{2}{d}_{2}]$, it will appear soliton-anti-soliton interaction, such as figure 1(c).

We list out solutions for other cases of nonlocal reductions without giving proof.

4.1.2. Reduction (23)

Theorem 3. For the reduction (23), the reduced nonlocal hierarchy

Equation (51)

allow a solution

Equation (52)

where $\varphi $ and $\psi $ are $(2n+2)$th order column vectors (i.e. $m=n$ in (9)), defined by (14) and satisfy

Equation (53a)

Equation (53b)

in which $T$ is a constant matrix determined through

Equation (54a)

Equation (54b)

When T and A are block matrices (36), solutions to equations (54) are given in table 2.

Table 2.  T and A for (54).

$(\sigma ,\delta )$ T A
(1, −1) ${T}_{1}={T}_{4}={{\bf{0}}}_{n+1},{T}_{3}=-{T}_{2}={{\bf{I}}}_{n+1}$ ${K}_{1}=-{K}_{4}^{* }={{\bf{K}}}_{n+1}$
(1, 1) ${T}_{1}={T}_{4}={{\bf{0}}}_{n+1},{T}_{3}={T}_{2}={{\bf{I}}}_{n+1}$ ${K}_{1}=-{K}_{4}^{* }={{\bf{K}}}_{n+1}$
(−1, −1) ${T}_{1}={T}_{4}={{\bf{0}}}_{n+1},{T}_{3}={T}_{2}={{\bf{I}}}_{n+1}$ ${K}_{1}={K}_{4}^{* }={{\bf{K}}}_{n+1}$
(−1, 1) ${T}_{1}={T}_{4}={{\bf{0}}}_{n+1},{T}_{3}=-{T}_{2}={{\bf{I}}}_{n+1}$ ${K}_{1}={K}_{4}^{* }={{\bf{K}}}_{n+1}$

When ${{\bf{K}}}_{n+1}$ is a diagonal matrix (37), the vector φ in (52) can be given as

Equation (55)

where

Equation (56)

When ${{\bf{K}}}_{n+1}={J}_{n+1}(k)$ (39), we have

Equation (57)

For the equation (24) with different (σ, δ), its 1SS are

Equation (58a)

Equation (58b)

Equation (58c)

Equation (58d)

where $k={k}_{1},\,t={t}_{1},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

4.1.3. Reduction (25)

Theorem 4. For the reduction (25), the reduced nonlocal hierarchy

Equation (59)

allow a solution

Equation (60)

where $\varphi ={({\varphi }_{1},{\varphi }_{2},\cdots ,{\varphi }_{2n+2})}^{{\rm{T}}}$, $\psi ={({\psi }_{1},{\psi }_{2},\cdots ,{\psi }_{2n+2})}^{{\rm{T}}}$, defined by (16) and satisfy

Equation (61a)

Equation (61b)

in which $T$ is a constant matrix satisfying (34).

If T and A are block matrices (36), solutions to (34) haven been given by table 1. In the case that ${{\bf{K}}}_{n+1}$ is a diagonal matrix (37), the vector φ in (60) can be given as

Equation (62)

where

Equation (63)

When ${{\bf{K}}}_{n+1}={J}_{n+1}(k)$ (39), we have

Equation (64)

Table 1.  T and A for (34).

(σ, δ) T A
(1, −1) ${T}_{1}={T}_{4}={{\bf{0}}}_{n+1},{T}_{3}=-{T}_{2}={{\bf{I}}}_{n+1}$ ${K}_{1}=-{K}_{4}={{\bf{K}}}_{n+1}$
(1, 1) ${T}_{1}={T}_{4}={{\bf{0}}}_{n+1},{T}_{3}={T}_{2}={{\bf{I}}}_{n+1}$ ${K}_{1}=-{K}_{4}={{\bf{K}}}_{n+1}$
(−1, −1) ${T}_{1}=-{T}_{4}={{\bf{I}}}_{n+1},{T}_{3}={T}_{2}={{\bf{0}}}_{n+1}$ ${K}_{1}=-{K}_{4}={{\bf{K}}}_{n+1}$
(−1, 1) ${T}_{1}=-{T}_{4}=i{{\bf{I}}}_{n+1},{T}_{3}={T}_{2}={{\bf{0}}}_{n+1}$ ${K}_{1}=-{K}_{4}={{\bf{K}}}_{n+1}$

For the equation (26) with different (σ, δ), its 1SS are

Equation (65a)

Equation (65b)

Equation (65c)

Equation (65d)

where $k={k}_{1},\,t={t}_{2},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

As an example we consider the dynamics of ${q}_{(\sigma ,\delta )}={q}_{(1,-1)}$, which is governed by equation

Equation (66)

where $\widetilde{q}=q(x,-y,-t)$. Its 1SS (65a) can be rewritten as

Equation (67)

Depicted as figure 2(a), this is a stationary wave with an initial phase $\mathrm{ln}\left|\tfrac{c}{d}\right|$ and an amplitude that exponentially increases with time t and y, and the top trajectory is $x(t)=\tfrac{\mathrm{ln}\left|\tfrac{c}{d}\right|}{2k}$. It is interesting that the amplitude is y and t-dependent, which looks like in nonisospectral case (see [35]) where amplitudes are changed due to time-dependent eigenvalues (spectral parameters). However, here the amplitude changes might be caused by the reversed y and t in the nonlocal reduction, rather than nonspectral parameters as the eigenvalues (see A in table 1) are still constant.

Figure 2.

Figure 2. (a). Shape and motion of 1SS (65a) for equation (66), in which $k=0.67,c=1,d=1,y=0$. (b). Shape and motion of 2SS (68) for equation (66), in which ${k}_{1}=0.8,{k}_{2}=-0.6,{c}_{1}=2,{c}_{2}=1$, ${d}_{1}=1,{d}_{2}=1,y=0$. (c). Shape and motion of $-{{\rm{e}}}^{-8t{({k}_{1}{k}_{2})}^{2}}{q}_{1,-1}(x,t)$ where ${q}_{1,-1}(x,t)$ is depicted in (b).

Standard image High-resolution image

The 2SS of equation (66) can be written as

Equation (68)

where

4.1.4. Reduction (28)

Theorem 5. For the reduction (28), the reduced nonlocal hierarchy

Equation (69)

allow a solution

Equation (70)

where $\varphi $ and $\psi $ are defined by (9) with $m=n$ and (16), satisfying

Equation (71a)

Equation (71b)

in which $T$ is a constant matrix satisfied (54).

When T and A are block matrices (36), solutions to (54) are already given by table 2. In the case that ${{\bf{K}}}_{n+1}$ is a diagonal matrix (37), the vector φ in (5) can be written as

Equation (72)

where

Equation (73)

When ${{\bf{K}}}_{n+1}={J}_{n+1}(k)$ (39), we get

Equation (74)

For equation (29) with different (σ, δ), its 1SS are

Equation (75a)

Equation (75b)

Equation (75c)

Equation (75d)

where $k={k}_{1},\,t={t}_{2},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

4.2. Classical cases

Theorem 6. For the classical reduction (17), the reduced local hierarchy

Equation (76)

allow a solution

Equation (77)

where $\varphi $ and $\psi $ are defined by (9) with $m=n$ and (14), satisfying

Equation (78a)

Equation (78b)

in which $T$ is a constant matrix determined through

Equation (79a)

Equation (79b)

When T and A are block matrices (36), solutions to equations (79) are given in table 2 with σ = 1. When ${{\bf{K}}}_{n+1}$ is a diagonal matrix (37), the vector φ in (77) can be given as

Equation (80)

where

Equation (81)

When ${{\bf{K}}}_{n+1}={J}_{n+1}(k)$ (39), we have

Equation (82)

In addition, we present the 1SS of the equation (18)

Equation (83a)

Equation (83b)

where $k={k}_{1},\,t={t}_{1},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

Theorem 7. For the reduction (19), the reduced local hierarchy

Equation (84)

allow a solution

Equation (85)

where $\varphi ={({\varphi }_{1},{\varphi }_{2},\cdots ,{\varphi }_{2n+2})}^{{\rm{T}}}$, $\psi ={({\psi }_{1},{\psi }_{2},\cdots ,{\psi }_{2n+2})}^{{\rm{T}}}$ expressed as (16) and satisfy the condition (78), in which $T$ is a constant matrix satisfied (79).

When T and A are block matrices (36), solutions to (79) are already given by table 2. In the case that ${{\bf{K}}}_{n+1}$ is a diagonal matrix (37), the vector φ in (85) can be written as

Equation (86)

where

Equation (87)

When ${{\bf{K}}}_{n+1}={J}_{n+1}(k)$ (39), we get

Equation (88)

For equation (20), its 1SS with different δ are given as

Equation (89a)

Equation (89b)

where $k={k}_{1},\,t={t}_{2},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

5. Negative order AKNS hierarchy

In this section, we list double Wronskian solutions for the negative order AKNS hierarchy and consider several cases of reductions.

5.1. Solutions

For the negative order AKNS hierarchy [33]

Equation (90)

where L is defined by (3). The hierarchy can be rewritten as [36]

Equation (91a)

Equation (91b)

Equation (91c)

Equation (91d)

By the transformation

Equation (92)

its bilinear form turns out to be [36]

Equation (93a)

Equation (93b)

Equation (93c)

Equation (93d)

Equation (93e)

which allow double Wronskian solution [32]

Equation (94)

where φ and ψ are defined as

Equation (95)

$A\in {{\mathbb{C}}}_{(n+m+2)\times (n+m+2)}$ and ${C}^{\pm }$ are $(n+m+2)$th-order constant column vector.

5.2. Reductions and solutions

The odd members in the hierarchy (91) admit a real reduction

Equation (96)

under which we have

Equation (97)

and the representative one

Equation (98)

In addition, the odd members in the hierarchy (91) also admit a complex reduction

Equation (99)

under which we have

Equation (100)

and

Equation (101)

as the first member.

For those even members in the hierarchy (91), first, they allow a real reduction

Equation (102)

which generate

Equation (103)

the simplest one is

Equation (104)

where $\widehat{q}=q(\sigma x,-t)$. And second, a complex reduction

Equation (105)

leads to

Equation (106)

in which the representative one is

Equation (107)

where $\widehat{q}=q(\sigma x,t)$.

In the following we list out double Wronskian solutions and we skip proof.

Theorem 8. The system (97) admits the following solutions

Equation (108)

where $\varphi ={({\varphi }_{1},{\varphi }_{2},\cdots ,{\varphi }_{2n+2})}^{{\rm{T}}}$, $\psi ={({\psi }_{1},{\psi }_{2},\cdots ,{\psi }_{2n+2})}^{{\rm{T}}}$, are defined by

Equation (109)

and satisfy

Equation (110a)

Equation (110b)

in which $T$ is a constant matrix determined by (34).

For equation (98) with different (σ, δ), its 1SS are

Equation (111a)

Equation (111b)

Equation (111c)

Equation (111d)

where $k={k}_{1},\,t={t}_{1},\,{C}^{+}=(c,d)$.

Theorem 9. The system (100) admits solutions

Equation (112)

where $\varphi ={({\varphi }_{1},{\varphi }_{2},\cdots ,{\varphi }_{2n+2})}^{{\rm{T}}}$, $\psi ={({\psi }_{1},{\psi }_{2},\cdots ,{\psi }_{2n+2})}^{{\rm{T}}}$, are defined by (109) and satisfy

Equation (113a)

Equation (113b)

in which $T$ is a constant matrix determined by (54).

1SS of the equation (101) with different (σ, δ) are

Equation (114a)

Equation (114b)

Equation (114c)

Equation (114d)

where $k={k}_{1},\,t={t}_{1},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

Theorem 10. The hierarchy (103) admit

Equation (115)

where $\varphi ={({\varphi }_{1},{\varphi }_{2},\cdots ,{\varphi }_{2n+2})}^{{\rm{T}}}$, $\psi ={({\psi }_{1},{\psi }_{2},\cdots ,{\psi }_{2n+2})}^{{\rm{T}}}$ are defined by

Equation (116)

and satisfy

Equation (117a)

Equation (117b)

in which $T$ is a constant matrix determined by (34).

For equation (104), its 1SS with different (σ, δ) are

Equation (118a)

Equation (118b)

Equation (118c)

Equation (118d)

where $k={k}_{1},\,t={t}_{2},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

As an example, let us illustrate dynamics of ${q}_{(\sigma ,\delta )}={q}_{(1,-1)}$ which is governed by the equation

Equation (119)

where $\widehat{q}=q(x,-t)$, (118a) describes a single soliton

Equation (120)

with an initial phase $\mathrm{ln}\left|\tfrac{c}{d}\right|$, top trajectory $x(t)=\tfrac{\mathrm{ln}\left|\tfrac{c}{d}\right|}{2k}$, and an amplitude that decreases with time, see figure 3(a).

Figure 3.

Figure 3. (a). Shape and motion of 1SS (118a) for equation (119), in which $k=0.9,c=5,d=1$. (b). Shape and motion of 2SS (121) for equation (119), in which ${k}_{1}=3,{k}_{2}=1,{c}_{1}=0.5$, ${c}_{2}=-1,{d}_{1}=1,{d}_{2}=1$.

Standard image High-resolution image

The 2SS of equation (119) is

Equation (121)

where

which we depict in figure 3(b).

Theorem 11. The hierarchy (106) admit solutions

Equation (122)

where φ and ψ are $(2n+2)$th order column vectors (i.e. $m=n$ in (9)), are defined by (116) and satisfy

Equation (123a)

Equation (123b)

in which $T$ is a constant matrix determined by (54).

The equation (107) with different (σ, δ) has the following 1SS:

Equation (124a)

Equation (124b)

Equation (124c)

Equation (124d)

where $k={k}_{1},\,t={t}_{2},\,{C}^{+}={(c,d)}^{{\rm{T}}}$.

6. Conclusions

We have discussed possible nonlocal reductions of the (2+1)-D BAKNS hierarchy and the negative order AKNS hierarchy. By means of the reduction technique (see [1518]), we derived N-soliton solutions and multiple-pole solutions in double Wronskian form of the reduced hierarchies from those of the unreduced hierarchies. Note that these hierarchies contain integration w.r.t. x, the integration operator with form of (30) is necessary and helpful in considering nonlocal reductions. In addition, this reduction method is based on bilinear forms and double Wronskians, As we can see, it allows us to obtain N-soliton solutions and multiple-pole solutions for the whole reduced hierarchy. Compared with [14, 16, 19] where only some single equations in the (2+1)-D BAKNS hierarchy and the negative order AKNS hierarchy were considered, here we solved the two hierarchies and obtained more solutions. Finally, it is remarkable that for some real nonlocal equations, amplitudes of solutions are related to the independent variables that are reversed in the real nonlocal reductions, e.g. (44), (67) and (120).

Acknowledgments

This work was supported by the NSF of China [grant numbers 11 875 040, 11 631 007, 11 571 225].

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10.1088/1572-9494/ab7705