Startseite Non-linear Dynamics and Exact Solutions for the Variable-Coefficient Modified Korteweg–de Vries Equation
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Non-linear Dynamics and Exact Solutions for the Variable-Coefficient Modified Korteweg–de Vries Equation

  • Jiangen Liu und Yufeng Zhang EMAIL logo
Veröffentlicht/Copyright: 8. Januar 2018

Abstract

This paper presents some new exact solutions which contain soliton solutions, breather solutions and two types of rational solutions for the variable-coefficient-modified Kortewegde Vries equation, with the help of the multivariate transformation technique. Furthermore, based on these new soliton solutions, breather solutions and rational solutions, we discuss their non-linear dynamics properties. We also show the graphic illustrations of these solutions which can help us better understand the evolution of solution waves.

1 Introduction

It is well known that non-linear evolution partial differential equations (NPDEs) play an essential role in describing non-linear science phenomena which had been modelled by integral order or fractional derivatives [1], [2], [3], [4], [5]. Among them, the variable-coefficient NPDEs may be better described in the real-world than the constant-coefficient NPDEs [6], [7], [8], [9]. Therefore, the latter case has been attractive to many researchers in recent years [10], [11], [12], [13].

In this paper, we consider the variable-coefficient-modified Korteweg–de Vries (vc-mKdV) equation [14], that is

(1)dϕdt+ω(t)dϕdx+σ(t)ϕ2dϕdx+ϖ(t)d3ϕdx3=0,

where the coefficients ω(t), σ(t) and ϖ(t) are arbitrary functions in variable time t. Equation (1) can be used to study the dynamics hidden in the plasma sheath transition layer and inner sheath layer. Meanwhile, (1) also appears in ocean waves, fluid mechanics, ocean dynamics and plasma mechanics, and in other areas.

Recently, (1) was studied by many researchers. For example, the soliton solutions were obtained in [15], [16], and the new Jacobi elliptic function solutions and Riemann theta function periodic wave solutions were also obtained in [17], [18] and other works appeared in [19], [20], [21]. More recently, Pal et al. [22] derived the first-order rational, periodic solutions and second-order rational, periodic solutions. Zhang et al. [23] obtained the Painleve property, Backlund transformation, Lax pair and some new analytic solutions for (1). Meanwhile, Lax pair, auto-Backlund transformation and conservation law for (1) with external-force form can also be known from [24], and others [25], [26], [27].

The main aim of this paper is to construct soliton solutions, breather solutions, rational solutions and we further analyse their non-linear dynamical properties for the vc-KdV equation with the help of the multivariate transformation technique. The plan of this article is as follows: in Section 2, we show a multivariate transformation reducing vc-mKdV equation into constant-coefficient mKdV equation. In Section 3, some new soliton solutions, breather solutions and rational solutions are obtained, with the help of the multivariate transformation. Finally, the main conclusion is given.

2 Multivariate Transformation Technique

In this section, we apply the multivariate transformation technique to reduce (1) into constant-coefficient mKdV equation. In order to do this, we search for the following transformation [28]:

(2)ϕ(x,t)=Θ(t)Ξ[X(x,t),T(t)],

where X(x, t)=α(t)x+β(t).

Substituting (2) into (1) leads to

(3)ΘTtΞT+σ(t)α(t)Θ3Ξ2ΞX+ϖ(t)α3(t)ΘΞXXX+(Θαt(t)α(t)β(t)+Θβt(t)+ω(t)α(t)Θ+Θαt(t)α(t)X)ΞX+ΘtΞ=0.

To get constant-coefficient mKdV equation from (3), first, we deal with the equation

(4)ΘTtΞT+σ(t)α(t)Θ3Ξ2ΞX+ϖ(t)α3(t)ΘΞXXX=0.

Under these constraint conditions

(5)σ(t)α(t)Θ2Tt=6,ϖ(t)α3(t)ΘTt=1.

Hence, we can obtain the following constant-coefficient mKdV equation of the form [29]

(6)ΞT+6Ξ2ΞX+ΞXXX=0.

Meanwhile, it is noted that σ(t) and ϖ(t) satisfy the relation

(7)σ(t)=6α2(t)Θ(t)ϖ(t).

By letting (Θαt(t)α(t)β(t)+Θβt(t)+ω(t)α(t)Θ+Θαt(t)α(t)X)ΞX+ΘtΞ=0, one obtains

(8){Θt=0,Θαt(t)α(t)=0,Θαt(t)α(t)β(t)+Θβt(t)+ω(t)α(t)Θ=0.

By solving (8), we have got the following results:

(9)Θ(t)=c1,α(t)=c2,β(t)=c2ω(t)dt,

where c1 and c2 are free constants.

In the next section, we will use the multivariate transformation technique

(10)ϕ(x,t)=c1Ξ[X(x,t),T(t)],

where X(x,t)=c2xc2ω(t)dt,T(t)=c12c26σ(t)dt.

To get soliton solution, breather solutions, rational solutions and analyse their non-linear dynamics properties.

3 Exact Solutions for vc-mKdV Equation

3.1 Soliton Solutions for vc-mKdV Equation

The one- and two-soliton solutions of (6) were obtained using Wronskian scheme. According to the transformation (10), we can obtain the new generalised one- and two-soliton solutions of vc-mKdV equation given by (1) as follows

(11)ϕ1(x,t)=2c1Kk1sech(2k1(c2xc2w(t)dt)+43k13c12c2σ(t)dtln(K)),

where K=±1, and k1 are non-constants. In view of (11), we see that the amplitude is −2c1Kk1, and velocity of the wave is w(t)dt2k1+2k12c12σ(t)dt3. For the solution (11) non-linear dynamics process see Figures 1 and 2.

Figure 1: Plots of the one-soliton solution (11) with parameters c1=1, c2=2, K=1, k1=2, w(t)=1, σ(t)=2t. (a) 3D-one-soliton solution and (b) 2D-curse at t=0.
Figure 1:

Plots of the one-soliton solution (11) with parameters c1=1, c2=2, K=1, k1=2, w(t)=1, σ(t)=2t. (a) 3D-one-soliton solution and (b) 2D-curse at t=0.

Figure 2: Plots of the one-soliton solution (11) with parameters c1=1, c2=2, K=1, k1=−2, w(t)=1, σ(t)=2t. (a) 3D-one-anti-soliton solution and (b) 2D-curse at t=0 .
Figure 2:

Plots of the one-soliton solution (11) with parameters c1=1, c2=2, K=1, k1=−2, w(t)=1, σ(t)=2t. (a) 3D-one-anti-soliton solution and (b) 2D-curse at t=0 .

And the two-soliton solution in the form

(12)ϕ2(x,t)=2c1(arctan(pq))x,

with

(13)p=(k2k1)l1e4(k13+k23)T(k1+k2)X+l2e4(k13+k23)T+(k1+k2)X,q=(k2+k1)l3e4(k13k23)T(k1k2)Xl4e4(k13+k23)T+(k1k2)X,X(x,t)=c2xc2ω(t)dt,T(t)=c12c26σ(t)dt,

where ki (i=1, 2), lj (j=1, 2, 3, 4) are constants.

The two-soliton solution (12) processes two types of soliton solutions, namely the soliton–soliton interaction and the soliton–anti-soliton interaction, as shown in Figures 3 and 4.

Figure 3: Plots of the soliton–soliton interactions (12) with parameters c1=1, c2=2, K=1, k1=−0.7, k2=0.2, w(t)=1, σ(t)=2t, l1=l4=−1, l2=l3=1. (a) 3D-plot and (b) 2D-density plot.
Figure 3:

Plots of the soliton–soliton interactions (12) with parameters c1=1, c2=2, K=1, k1=−0.7, k2=0.2, w(t)=1, σ(t)=2t, l1=l4=−1, l2=l3=1. (a) 3D-plot and (b) 2D-density plot.

Figure 4: Plots of the anti-soliton–soliton interaction (12) with parameters c1=1, c2=2, K=1, k1=−0.7, k2=0.2, w(t)=1+cos(0.9t), σ(t)=2t, l1=l4=−1, l2=l3=1. (a) 3D-plot and (b) 2D-density plot.
Figure 4:

Plots of the anti-soliton–soliton interaction (12) with parameters c1=1, c2=2, K=1, k1=−0.7, k2=0.2, w(t)=1+cos(0.9t), σ(t)=2t, l1=l4=−1, l2=l3=1. (a) 3D-plot and (b) 2D-density plot.

3.2 Breather Solutions for vc-mKdV Equation

The breather solutions of constant-coefficient mKdV equation were also obtained using the Wronskian scheme. Applying the same idea, the breather solution can be expressed as

(14)ϕ3(x,t)=2c1(arctan(PQ))x,

with

(15)P=2k1msin[2k2(X4T(3k12k22))θ],Q=k2[(a12+a22)e2k1(X+4T(3k22k12))+(b12+b22)e2k1(X+4T(3k22k12))],X(x,t)=c2xc2ω(t)dt,T(t)=c12c26σ(t)dt.

where sin(θ)=a1b1+a2b2m,m=(a1b1+a2b2)2+(a2b1a1b2)2 and a1, b1, a2, b2R.

For the breather solutions some non-linear dynamics behaviour is depicted in Figures 57.

Figure 5: Plots of the breather solution (15) with parameters c1=0.5, c2=1, a1=a2=1, b1=2, b2=0.5, k1=−0.6, w(t)=1, σ(t)=t. (a) 3D-plot for breather solution, (b) 2D-density plot and (c) 2D-curse at t=0.
Figure 5:

Plots of the breather solution (15) with parameters c1=0.5, c2=1, a1=a2=1, b1=2, b2=0.5, k1=−0.6, w(t)=1, σ(t)=t. (a) 3D-plot for breather solution, (b) 2D-density plot and (c) 2D-curse at t=0.

Figure 6: Plots of the breather solution (15) with parameters c1=0.5, c2=1, a1=a2=1, b1=2, b2=0.5, k1=3,${k_1} = \sqrt 3 ,$k2=1, w(t)=1, σ(t)=t. (a) 3D-plot for breather solution, (b) 2D-density plot and (c) 2D-curse at t=0.
Figure 6:

Plots of the breather solution (15) with parameters c1=0.5, c2=1, a1=a2=1, b1=2, b2=0.5, k1=3,k2=1, w(t)=1, σ(t)=t. (a) 3D-plot for breather solution, (b) 2D-density plot and (c) 2D-curse at t=0.

Figure 7: Plots of the breather solution (15) with parameters c1=0.5, c2=1, a1=a2=1, b1=2, b2=0.5, k1=0.5, k2=10, w(t)=1, σ(t)=t. (a) 3D-plot for breather solution and (b) 2D-curse at t=0.
Figure 7:

Plots of the breather solution (15) with parameters c1=0.5, c2=1, a1=a2=1, b1=2, b2=0.5, k1=0.5, k2=10, w(t)=1, σ(t)=t. (a) 3D-plot for breather solution and (b) 2D-curse at t=0.

Figure 5a,b shows an oscillating wave moving along the curse line. This point is different from the constant-coefficient mKdV equation.

When 3k22=k12, there is a “stationary” breather and the oscillating wave moving along a straight line as seen in Figure 6a,b. However, the upper-lower amplitude is different from the constant-coefficient mKdV equation.

When |k1| is small enough and |k2|≫|k1| so that the oscillation dominates, we can obtain a splindle-like wave (Fig. 7b).

3.3 Rational Solutions for vc-mKdV Equation

In this subsection, we will give two non-trivial rational solutions. The non-trivial rational solutions of constant-coefficient KdV–mKdV equation were also obtained using Wronskian scheme. Applying the same idea as above and Galilean transformation, the rational solutions can be expressed in the form

(16)ϕ5(x,t)=c0c14c0c14c02(X6c02T)+1,

with

(17)X(x,t)=c2xc2ω(t)dt,T(t)=c12c26σ(t)dt,

where c0 is a non-zero constant.

It is a non-singular travelling wave moving with constant speed 6c02c1, constant amplitude −3c0c1 and the asymptotic line is ϕ=c0c1. It is depicted in Figures 8 and 9.

Figure 8: Shape and motion of the rational solution (16) with parameters c0=−0.5, c1=2, c2=1, w(t)=1, σ(t)=t. (a) 3D-plot for rational solution and (b) 2D-curve at t=0.
Figure 8:

Shape and motion of the rational solution (16) with parameters c0=−0.5, c1=2, c2=1, w(t)=1, σ(t)=t. (a) 3D-plot for rational solution and (b) 2D-curve at t=0.

Figure 9: Shape and motion of the rational solution (16) with parameters c0=0.5, c1=2, c2=1, w(t)=1, σ(t)=t. (a) 3D-plot for breather solution and (b) 2D-curve at t=0.
Figure 9:

Shape and motion of the rational solution (16) with parameters c0=0.5, c1=2, c2=1, w(t)=1, σ(t)=t. (a) 3D-plot for breather solution and (b) 2D-curve at t=0.

And another rational solution can be given by

(18)ϕ6(x,t)=c0c112c0c1[(X6c02T)4+32c02(X6c02T)2316c0424(X6c02T)]4c02[(X6c02T)3+12T3(X6c02T)4c02]2+9[(X6c02T)2+14c02]2,

with

(19)X(x,t)=c2xc2ω(t)dt,T(t)=c12c26σ(t)dt.

To understand better the asymptotic behaviour of (18), we rewrite the solution (18) in the following coordinate system

(20)(L=c2xc2w(t)dt+c02c12c2σ(t)dt,t),

and it gives

(21)ϕ6(x,t)=c0c112c0c1(L4+3L22c0224Lt316c04)4c02(L3+12t3L4c02)2+9(14c02+L2)2.

It is described in Figures 10 and 11.

Figure 10: Plots of the rational solution (21) with parameters c1=1, c0=−0.5. (a) 3D-plot for rational solution and (b) 2D-density plot.
Figure 10:

Plots of the rational solution (21) with parameters c1=1, c0=−0.5. (a) 3D-plot for rational solution and (b) 2D-density plot.

Figure 11: Plots of the rational solution (21) with parameters c1=1, c0=0.5. (a) 3D-plot for rational solution and (b) 2D-density plot.
Figure 11:

Plots of the rational solution (21) with parameters c1=1, c0=0.5. (a) 3D-plot for rational solution and (b) 2D-density plot.

From Figures 10 and 11, we see that the rational solution (21) possessing display shape, motion and density plot was overlapped by the above wave trajectory curve.

4 Conclusion

In this paper, based on the multivariate transformation technique we have searched soliton solutions, breather solutions and rational solutions to the vc-mKdV equations. These soliton solutions, breather solutions and rational solutions were first obtained by us. Meanwhile, we analysed some of their non-linear dynamical properties and non-linear evolution processes by showing graphics in order to demonstrate different physical phenomena which could help us to better understand the evolution of solution waves.

Acknowledgements

This work is supported by the Fundamental Research Funds for the Central Universities (No. 2017XKZD11).

References

[1] H. Q. Zhang and W. X. Ma, Nonlinear Dyn. 87, 4 (2016).10.1007/s11071-016-3197-zSuche in Google Scholar

[2] Z. Y. Yan, Comput. Phys. Commun. 152, 1 (2003).10.1016/S0010-4655(02)00756-7Suche in Google Scholar

[3] J. H. He, Chaos Soliton Fract. 19, 847 (2004).10.1016/S0960-0779(03)00265-0Suche in Google Scholar

[4] Y. F. Zhang, X. Zhang, and H.-H. Dong, Commun. Theor. Phys. 68, 755 (2017).10.1088/0253-6102/68/6/755Suche in Google Scholar

[5] J. Liu, L.Yan, and Y. Cang. J. Theor. Probab. 29, 307 (2016).10.1007/s10959-014-0578-4Suche in Google Scholar

[6] Y. F. Zhang, Z. Han, and H. W. Tam, Commun. Theor. Phys. 59, 671 (2013).10.1088/0253-6102/59/6/03Suche in Google Scholar

[7] Y. Zhang and H. Tam, J. Math. Phys. 54, 539 (2013).10.1063/1.4788665Suche in Google Scholar

[8] M. Bologna, Eur. Phys. J. Plus 131, 386 (2016).10.1140/epjp/i2016-16386-9Suche in Google Scholar

[9] E. G. Fan, arXiv: 1008.4194 (2010).Suche in Google Scholar

[10] C. Zhang, Y. Gao, X. Meng, J. Li, T. Xu, et al., J.Phys. A: Gen. Phys. 39, 14353 (2006).10.1088/0305-4470/39/46/008Suche in Google Scholar

[11] C. Y. Zhang, Y. T. Gao, T. Xu, L.-L. Li, S. Fu-Wei, et al., Commun. Theor. Phys. 49, 673 (2008).10.1088/0253-6102/49/3/33Suche in Google Scholar

[12] X. Yu, Y. T. Gao, Z. Y. Sun, and Y. Liu, Nonlinear. Dynam. 83, 1023 (2011).10.1007/s11071-011-0044-0Suche in Google Scholar

[13] S. H. Zhu, Y. T. Gao, X. Yu, Z. Y. Sun, X. L. Gai, et al., Appl. Math. Comput. 217, 295 (2010).10.1016/j.amc.2010.05.061Suche in Google Scholar

[14] Z. Y. Sun, Y. T. Gao, Y. Liu, and X. Yu, Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 84, 026606 (2011).10.1103/PhysRevE.84.026606Suche in Google Scholar PubMed

[15] H. Triki and A. M. Wazwaz, Appl. Math. Comput. 214, 370 (2009).10.1016/j.amc.2009.04.003Suche in Google Scholar

[16] Q. Feng, Y. T. Gao, X. H. Meng, X. Yu, Z. Y. Sun, et al., Int. J. Mod. Phys. B 25, 723 (2011).10.1142/S0217979211058043Suche in Google Scholar

[17] Y. Zhang, Z. Chen, and X. Hao, Chin. Phys. B 21, 23 (2012).Suche in Google Scholar

[18] B. Hong, Appl. Math. Comput. 215, 2908 (2009).10.1016/j.amc.2009.09.035Suche in Google Scholar

[19] J. Zhang. Chin. Phys. Lett. 11, 4 (1994).10.1088/0256-307X/11/1/002Suche in Google Scholar

[20] A. Bekir, E. Aksoy, and O. Güner, Phys. Scr. 85, 035009 (2012).10.1088/0031-8949/85/03/035009Suche in Google Scholar

[21] S. Clarke, R. Grimshaw, P. Miller, E. Pelinovsky, and T. Talipova, Chaos 10, 383 (2000).10.1063/1.166505Suche in Google Scholar PubMed

[22] R. Pal, H. Kaur, T. S. Raju, and C. N. Kumar, Nonlinear Dynam. 89, 617 (2017).10.1007/s11071-017-3475-4Suche in Google Scholar

[23] Y. Zhang, J. Liu, and G. Wei, Appl. Math. Lett. 45, 58 (2015).10.1016/j.aml.2015.01.007Suche in Google Scholar

[24] Z. Yuping, W. Junyi, W. Guangmei, and L. Ruiping, Phys. Scr. 90, (2015).10.1088/0031-8949/90/6/065203Suche in Google Scholar

[25] K. Pradhan and P. K. Panigrahi, Physics 39, L343 (2006).10.1088/0305-4470/39/20/L08Suche in Google Scholar

[26] K. Hitender and F. Chand, Indian J. Phys. 87, 909 (2013).10.1007/s12648-013-0310-8Suche in Google Scholar

[27] H. Kumar, A. Malik, and F. Chand, Pramana 80, 361 (2013).10.1007/s12043-012-0467-2Suche in Google Scholar

[28] X. Zheng, Y. Shang, and Y. Huang, Appl. Anal. 2013, 1 (2013).10.1080/00036811.2014.887693Suche in Google Scholar

[29] D. Zhang, S.-L. Zhao, Y.-Y. Sun, and J. Zhou, Rev. Math. Phys. 26, 1430006 (2014).10.1142/S0129055X14300064Suche in Google Scholar

Received: 2017-10-21
Accepted: 2017-12-04
Published Online: 2018-01-08
Published in Print: 2018-01-26

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