The bifurcation and exact travelling wave solutions for the modified Benjamin–Bona–Mahoney...
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Commun Nonlinear Sci Numer Simulat 17 (2012) 2824–2832
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Commun Nonlinear Sci Numer Simulat
journal homepage: www.elsevier .com/locate /cnsns
The bifurcation and exact travelling wave solutions for the modifiedBenjamin–Bona–Mahoney (mBBM) equation
Fang Yan a,c, Haihong Liu b,a,⇑, Zengrong Liu c
a Department of Mathematics, Shanghai University, Shanghai 200444, PR Chinab Department of Mathematics, Yunnan Normal University, Kunming 650092, PR Chinac Institute of Systems Biology, Shanghai University, Shanghai 200444, PR China
a r t i c l e i n f o a b s t r a c t
Article history:Received 27 April 2011Received in revised form 13 September 2011Accepted 12 November 2011Available online 23 November 2011
Keywords:BifurcationBreaking wave solutionSolitary wave solutionKink (anti-kink) wave solutionPeriodic wave solution
1007-5704/$ - see front matter � 2011 Elsevier B.Vdoi:10.1016/j.cnsns.2011.11.014
⇑ Corresponding author at: Department of MatheE-mail addresses: [email protected] (F. Yan), lh
By using methods from dynamical systems theory, this paper researches the bifurcationand exact travelling wave solutions for the modified Benjamin–Bona–Mahoney (mBBM)equation. Implicit exact parametric representations of all travelling wave solutions as wellas some explicit analytic solutions are given. Specially, breaking wave solutions areobtained, which KdV equation does not include.
� 2011 Elsevier B.V. All rights reserved.
1. Introduction
It is well-known that the Korteweg de–Vries (KdV) equation [1] given by
ut þ ux þ uux þ uxxx ¼ 0 ð1Þ
can be applied to describe approximately the unidirectional propagation of long waves in certain nonlinear dispersive sys-tems. It has been used to account adequately for observable phenomena, including ion acoustic waves in plasmas, dustacoustic solitary structures in magnetized dusty plasmas, electromagnetic waves in size-quantized films and in other appli-cations. While it has been pointed certain theoretical difficulties associated with this equation [2]. This includes, e.g., uxxx, anunbounded dispersion relation, that is obviously non-physical. Several noticeable attempts to improve the KdV model weretaken over years.
Benjamin et al. [3] proposed the regularized long wave (RLW) equation, or Benjamin–Bona–Mahoney (BBM)equation
ut þ ux þ uux � uxxt ¼ 0; ð2Þ
as an alternative model to the KdV equation for the long wave motion in nonlinear dispersive systems. The BBM equationreplaces the third-order derivative in (1) by a mixed derivative,�uxxt, which, in turn, results in a bounded dispersion relation.This boundedness is utilized to prove existence, uniqueness, and regularity results for solutions of the BBM equation.
. All rights reserved.
matics, Yunnan Normal University, Kunming 650092, PR [email protected] (H. Liu), [email protected] (Z. Liu).
F. Yan et al. / Commun Nonlinear Sci Numer Simulat 17 (2012) 2824–2832 2825
The nonlinear modified Benjamin–Bona–Mahoney (mBBM) equation [3]
ut þ bu2ux � auxxt ¼ 0; b > 0; ab – 0 ð3Þ
is an offshoot of the BBM equation. In (3), u is applied to describe the wave profile. The independent variables x and t rep-resent spatial and temporal variables respectively. The first term represents the evolution term. While a and b represent thecoefficients of dispersion term and power law nonlinearity, respectively.
Anjan Biswas studied the adiabatic parameter dynamics of solitons for BBM equation [4]. Solitary waves for the BBMequation with dual-power law nonlinearity are also obtained [5,6]. The mBBM equation is completely integrable where mul-tiple-soliton solutions arise from this equation. Exact travelling wave solutions for the mBBM have been obtained accordingto certain relationships between parameters a and b are hold [7–10].
Recently, there has been growing interest in finding exact analytical solutions to nonlinear wave equations by usingappropriate techniques. The investigation of exact travelling wave solutions for nonlinear partial differential equations (NLP-DEs) plays an important role in the study of nonlinear physical phenomena [11]. These exact solutions when they exist canhelp one to well understand the mechanism of the complicated physical phenomena and dynamical processes modelled bythese nonlinear evolution equations [12]. Meanwhile, many powerful methods to construct exact solutions of NLPDEs havebeen established and developed, which lead to one of the most excited advances of nonlinear science and theoretical physics[13]. In fact, many kinds of exact soliton solutions have been obtained by using for example, the symmetry reduction method[14], the homogeneous balance principle and F-expansion method [15], the Jacobi elliptic functions method [16], the sine–cosine method [17], the tanh method [18–20], the G0
G
� �-expansion method[21] and many modified forms of this method, the
Hirota’s bilinear method [22], the Bäcklund transformation method [23], and so on. The computer symbolic systems such asMaple and Mathematica allow us to perform complicated and tedious calculations.
The first goal of this paper is to give the bifurcation of all travelling wave solutions of (3) by using methods from dynam-ical systems theory. To our knowledge, the dynamical behaviour of all travelling wave solutions given by (3) has not beenstudied before. The second goal is to obtain more new interesting travelling wave solutions of (3). Although many travellingwave solutions such as some periodical wave solutions and solitary wave solutions of this equation has been obtained before[9,10], researches for more interesting solutions to the mBBM equation may still be of great interest for both mathematicianand physicist.
The rest of the paper is organized as follows. In Section 2, wave transformation is introduced for reducing the mBBMequation into an ordinary differential equation and it will be written as a planar dynamical system which has the first inte-gral. In Section 3, bifurcations and phase portraits of the planar dynamical system mentioned above are given. In Section 4,using methods from dynamical systems theory, all travelling wave solutions in the parameter space of the above mentionedplanar dynamical system are researched. Specially, some exact special solutions are only particular orbits in the phase space.In Section 5, the mBBM equation is studied by using an auxiliary function method. In Section 6, we give the conclusion.Remarks are summarized in Section 7.
2. The travelling wave system
Let u(x, t) = u(x + ct) = u(n), where c is the wave speed. Substituting the above travelling wave variable n = x + ct into (3),yields
cu0 þ bu2u0 � acu000 ¼ 0; ð4Þ
where by integrating (4) and neglecting the constant of integration we obtain
cuþ b3u3 � acu00 ¼ 0: ð5Þ
Eq. (5) is equivalent to the two-dimensional system as follows:
dudn¼ w;
dwdn¼ 1
auþ b
3acu3; ð6Þ
which has the first integral
Hðu;wÞ ¼ w2 � 1au2 � b
6acu4 ¼ h: ð7Þ
Systems (6) is a three-parameter planar dynamical system depending on the parameter group (a,b,c). Because the phaseorbits defined by the vector fields of system (6), determine all travelling wave solutions of (3), we should investigate thebifurcations of phase portraits of system (6) in the (u,w)-phase plane as the parameters are changed.
Suppose that u(n) is a continuous solution of (3) for n 2 (�1,1) and limn?1u(n) = l, limn?�1u(n) = k. It is well-knownthat u(n) is called a solitary wave solution if l = k and a kink (or anti-kink) wave solution if l – k. Usually, a solitary wavesolution of (3) corresponds to a homoclinic orbit of (6); a kink (or anti-kink) wave solution of (3) corresponds to aheteroclinic orbit of (6). Similarly, a periodic orbit of (6) corresponds to a periodic travelling wave solution of (3) and abounded open orbit of (6) corresponds to a breaking wave solution of (3). Thus, to investigate all possible bifurcations of
2826 F. Yan et al. / Commun Nonlinear Sci Numer Simulat 17 (2012) 2824–2832
solitary waves, breaking waves, kink (or anti-kink) waves and periodic waves of (3), we need to find all homoclinic orbits,bounded open orbits, heteroclinic orbits and periodic orbits of (3), which depend on the system parameters.
Let M(u0,w0) be the coefficient matrix of the linearized system of (6) at an equilibrium point (u0,w0) and J(u0,w0) be itsJacobian determinant. From the bifurcation theory of planar dynamical systems, we know that for an simple equilibriumpoint of a planar integrable system if J < 0, then the equilibrium point is a saddle point; if J > 0 and Trace (M(u0,w0)) = 0, thenit is a centre point; if J > 0 and (Trace(M(u0,w0)))2 � 4J(u0,w0) > 0, then it is a node; if J = 0 and the Poincaré index of the equi-librium point is 0, then it is a cusp point.
3. Bifurcations and phase portraits of the mBBM equation
We now consider all possible bifurcations and phase portraits of the vector fields defined by two-dimensional system (6)
which is equivalent to the mBBM equation. System (6) has three equilibrium points (0,0),ffiffiffiffiffiffiffiffi�3bcp
b ;0� �
and �ffiffiffiffiffiffiffiffi�3bcp
b ;0� �
, if
c < 0; And one equilibrium point (0,0), if c > 0.According to the above theory of dynamical systems, we have
Jð0;0Þ ¼ �1a; ð8Þ
J
ffiffiffiffiffiffiffiffiffiffiffiffi�3bc
pb
;0
!¼ 2
a; ð9Þ
J �ffiffiffiffiffiffiffiffiffiffiffiffi�3bc
pb
;0
!¼ 2
a: ð10Þ
By qualitative analysis and the level curves defined by (7), we obtain the following phase portraits of (6) shown in Fig. 1.The bifurcation about the parameter group (a,b,c) of system (6) is shown in these pictures. Since we have noticed thecorrespondence between phase portraits and wave solutions in Section 2, we can obtain interesting wave solutions byanalyzing the orbits properties in phase planar. For example, a solitary wave solution corresponds to a homoclinic orbit;a kink (or anti-kink) wave solution corresponds to a heteroclinic orbit; a periodic travelling wave solution corresponds toa periodic obit and a breaking wave solution corresponds to a bounded open orbit. Thus, by concluding above analysis,we have the following:
(1) α < 0 and c < 0. (2) α > 0 and c < 0.
(3) α < 0 and c > 0. (4) α > 0 and c > 0.
Fig. 1. The phase portraits of system (6).
Fig. 2. The profile of breaking wave solution (16).
Fig. 3. The profile of solitary wave solution (18).
F. Yan et al. / Commun Nonlinear Sci Numer Simulat 17 (2012) 2824–2832 2827
Proposition 3.1
(1) For a < 0 and c < 0, system (6) has one centre point (0,0) and two saddle points,ffiffiffiffiffiffiffiffi�3bcp
b ;0� �
and �ffiffiffiffiffiffiffiffi�3bcp
b ;0� �
. There exists a
family of periodic orbits around (0,0) and two heteroclinic orbits connectingffiffiffiffiffiffiffiffi�3bcp
b ;0� �
and �ffiffiffiffiffiffiffiffi�3bcp
b ;0� �
. Moreover, sys-
tem (6) has a series of bounded open orbits. See Fig. 1 in Fig. 1. It gives rise to a family of periodic wave solutions, two kink(anti-kink) wave solutions and a series of breaking wave solutions of Eq. (3).
(2) For a > 0 and c < 0, system (6) has one saddle point (0,0) and two centre points,ffiffiffiffiffiffiffiffi�3bcp
b ;0� �
and �ffiffiffiffiffiffiffiffi�3bcp
b ;0� �
. There exist
two homoclinic orbits at (0,0) and a family of periodic orbits nearffiffiffiffiffiffiffiffi�3bcp
b ; 0� �
and �ffiffiffiffiffiffiffiffi�3bcp
b ;0� �
, respectively. Moreover,
system (6) has infinite many bounded closed orbits around the homoclinic orbits mentioned above. See Fig. 2 in Fig. 1. Itimplies that for Eq. (3) there exist two solitary wave solutions and infinite many periodic wave solutions.
(3) For a < 0 and c > 0, system (6) has only one centre point (0,0). There exists a series of periodic orbits. See Fig. 3 in Fig. 1. Itmeans that for Eq. (3) there exists a series of periodic wave solutions.
(4) For a > 0 and c > 0, system (6) has a saddle point (0,0). There exists a series of bounded open orbits. See Fig. 4 in Fig. 1. Itcorresponds to a series of breaking wave solutions of Eq. (3).
4. All the exact travelling wave solutions of the mBBM equation
In this part, we will calculate the exact travelling wave solutions by using the first equation of system (6) and (7).
Fig. 4. The profile of periodic wave solution (20).
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Obviously, by Eq. (7), we get
w2 ¼ 1au2 þ b
6acu4 þ h: ð11Þ
4.1. Case h = 0
By the first equation of system (6), we obtain
n ¼Z
duw¼ �
Zduffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
1a u2 þ b
6ac u4q : ð12Þ
When a < 0, the following result is hold:
n ¼ �ffiffiffiffiffiffiffi�ap
arctan �ffiffiffi6pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi� bu2
c � 6q
0B@
1CA ð13Þ
and when a > 0, the following result is obtained:
n ¼ �ffiffiffiap
ln12þ 2
ffiffiffi6p ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
bc u2 þ 6
qau
0@
1A; ð14Þ
where n = x + ct.Taking tan functions on the two sides of (13), the solution of (3) is obtained.
uðx; tÞ ¼ �ffiffiffiffiffiffiffiffiffiffiffiffi�6bc
pb
cscxþ ctffiffiffiffiffiffiffi�ap
� �: ð15Þ
Specially, when a = �1, b = 1, c = �1, we have the following representation of the breaking pattern of (3)
uðx; tÞ ¼ �ffiffiffi6p
cscðx� tÞ: ð16Þ
The profile is shown in Fig. 2. In fact, this breaking pattern corresponds to an open bounded orbit shown in Fig. 1(1).A breaking wave is a wave whose amplitude reaches a critical level at which some process can suddenly start to occur
that causes large amounts of wave energy to be transformed into turbulent kinetic energy. Whitham [24] observed that solu-tions of the KdV equation do not break as physical water waves do, it is intriguing to find mathematical equations for shallowwater waves including the breaking phenomenon. For models describing water waves, we say that wave breaking holds ifthe solution (representing the wave) remains bounded but its slope becomes infinite in finite time: the profile will graduallysteepen as it propagates until it finally develops a point where the slope is vertical and the wave is said to have broken[24].We see that solution (16) present this remarkable property. Therefore, mBBM equation has certain advantages than KdVequation.
Fig. 5. The profile of kink (anti-kink) wave solution (21).
F. Yan et al. / Commun Nonlinear Sci Numer Simulat 17 (2012) 2824–2832 2829
Taking exponential functions on the two sides of (14), the solution of (3) is obtained.
uðx; tÞ ¼ 24cae�xþctffiffi
ap
ca2 e�xþctffiffi
ap
� �2� 24b
: ð17Þ
For the positive case, when a = 1, b = 1, c = �1, we have the following representation of the solitary pattern of (3)
uðx; tÞ ¼ 24exþt
24þ e2ðxþtÞ : ð18Þ
The profile is shown in Fig. 3. In fact, this solitary pattern corresponds to the homoclinic orbit shown in Fig. 1(2).
4.2. Case h – 0
By the first equation of system (6), we obtain
n ¼Z
duw¼ �
Zduffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
1a u2 þ b
6ac u4 þ hq ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi36� 6ð�3
ffiffiffiffijcjp
þffiffi3p ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
j3c�2abhjp
Þu2
ahffiffiffiffijcjp
r ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi36þ 6ð3
ffiffiffiffijcjp
þffiffi3p ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
j3c�2abhjp
Þu2
ahffiffiffiffijcjp
r� �
6ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�3
ffiffiffiffijcjp
þffiffi3p ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
j3c�2habjp
affiffiffiffijcjp
h
r ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffibu4
ac þ6u2
a þ 6hq
Elliptic F
ffiffiffi6p
u6
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�3
ffiffiffiffiffijcj
pþ
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffij9c � 6abhj
pah
ffiffiffiffiffijcj
ps
;
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�1� ð3
ffiffiffiffiffijcj
pþ
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi9c2 � 6cabh
pÞ
abh
s0@
1A; ð19Þ
where n = x + ct.Specially, when a ¼ �1; b ¼ 1; c ¼ �1; h ¼ 3
4, we have the following representation of a periodic pattern of (3)
uðx; tÞ ¼ 12
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi12þ 6
ffiffiffi2pq
JacobiSN
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi2�
ffiffiffi2pp
2ðx� tÞ;1þ
ffiffiffi2p
!: ð20Þ
The profile is shown in Fig. 4. In fact, this periodic pattern corresponds to a periodic orbit shown in Fig. 1(1).When a ¼ �1; b ¼ 1; c ¼ �1; h ¼ 3
2, we have the following representation of the kink (anti-kink) patterns of (3)
uðx; tÞ ¼ �
ffiffiffi3p
e�ffiffi2pðx�tÞ � 1
� �e�ffiffi2pðx�tÞ þ 1
: ð21Þ
The profiles are shown in Fig. 5. In fact, these kink (anti-kink) patterns correspond to the heterclinic orbits shown in Fig. 1(1).
5. Explicit analytic solutions of the mBBM equation
In this part, using auxiliary function method, we will consider more explicit analytic solutions of the mBBM equation.Now, we seek a solution of the mBBM equation in a power series of the form
2830 F. Yan et al. / Commun Nonlinear Sci Numer Simulat 17 (2012) 2824–2832
uðx; tÞ ¼ uðsÞ ¼Xn
i¼0
Aisi; ð22Þ
where s = JacobiCN (C1 + C2x + C3t,C0), Ai (i = 0,1, . . . ,n) and Ci (i = 0,1,2,3) are the constants to be determined. Substituting theabove travelling wave variable s into (3), yields
C3u0 þ C2bu2u0 � aC22C3u000: ð23Þ
Define a degree function G by
G ua1 ðnÞ da2uðnÞdn
� �� �a3
¼ na1 þ a3ðnþ a2Þ: ð24Þ
The terminal value n in the ansatz (22) is obtained by balancing the degree of the highest order linear term with the highestdegree of nonlinear term. Here balancing u2u0 with u000, we have
2nþ ðnþ 1Þ ¼ nþ 3; ð25Þ
which gives n = 1. Therefore, we may choose the solution of (3) in the form
uðx; tÞ ¼ uðsÞ ¼ A0 þ A1s: ð26Þ
Substituting (26) into (3), setting the coefficients of si to zero yields a set of algebraic equations with form
C3 þ bC2A20 þ aC2
2C3 � 2aC20C2
2C3 ¼ 0; ð27ÞbC2A0A1 ¼ 0; ð28ÞbC2A2
1 þ 6aC20C2
2C3 ¼ 0: ð29Þ
Solving these algebraic equations with the aid of Maple software, we find
C0 ¼ C0;C1 ¼ C1;C2 ¼ �1ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
að2C20 � 1Þ
q ; C3 ¼ C3; ð30Þ
A0 ¼ 0; A1 ¼ �C0
ffiffiffiffiffiffiffiffi6C3
b
s ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffia
2C20 � 1
4
s: ð31Þ
Substituting (30) and (31) into (26) gives the explicit analytic solutions of (3) as follows:
u1;2ðx; tÞ ¼ �C0
ffiffiffiffiffiffiffiffi6C3
b
s ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffia
2C20 � 1
4
sJacobiCN C1 �
1ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiað2C2
0 � 1Þq xþ C3t;C0
0B@
1CA; ð32Þ
where C3 > 0 and að2C20 � 1Þ > 0.
By the same method, more explicit analytic solutions of (3) can be easily obtained. Interesting readers can see the Appen-dix A.
6. Conclusion
Throughout this paper, we have obtained the bifurcation about the parameter group (a,b,c) and all the exact travellingwave solutions of the modified Benjamin–Bona–Mahoney equation by using methods from dynamical systems theory. Thisequation has been subjected to some investigations. For example, [9,10] have obtained many travelling wave solutions suchas periodical wave solutions and solitary wave solutions. The search for more interesting other solutions to the modifiedBenjamin–Bona–Mahoney equation may still be of great interest for both mathematician and physicist. Thus, we have foundfour types of exact travelling wave solutions, namely, breaking wave solutions, solitary wave solutions, periodical wave solu-tions and kink wave solutions. They are all interesting phenomena in physics. It is worthy to mention that all the travellingwave solutions obtained in this paper are new and interesting.
7. Remark
Remark 7.1. To the best of our knowledge, related qualitative analysis has not been preformed to the mBBM equation so far.Therefore, it might be helpful to the study of the problem, as well as more complicated physical phenomena.
Remark 7.2. All the travelling wave solutions obtained in this paper are new. Moreover, the solutions (16) and (17) in [10]are the special cases of the solution (47) and (37) in our paper respectively. For the positive case, when
F. Yan et al. / Commun Nonlinear Sci Numer Simulat 17 (2012) 2824–2832 2831
C1 ¼ 12
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�a2 þ b2 � c2
px; C3 ¼ 1
6bkA2
0ð�a2þb2�c2Þ32
c2 ; a ¼ 2�a2þb2�c2, the solution (47) in our paper is the same as the solution (16) in
[10]. When we take C1 ¼ 12
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffia2 � b2 þ c2
px; C3 ¼ � 1
6bkA2
0ða2�b2þc2Þ32
c2 ; a ¼ 2�a2þb2�c2, the solution (37) in our paper is the same as
the solution (17) in [10].
Acknowledgements
The authors express their gratitude to the anonymous referees for their helpful suggestions and the partial support ofNSFC (10832006/11172158) and Yunnan NSFC (2011FZ086).
Appendix A
Using auxiliary function method, several types of explicit analytic solutions of the mBBM equation are obtained asfollowings:
u1;2ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffi6C3
b
s ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffia C2
0 � 1� �2
2C20 � 1
4
vuuut JacobiNC C1 þ1ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
að2C20 � 1Þ
q xþ C3t;C0
0B@
1CA; C3 > 0; a 2C2
0 � 1� �
> 0; kC0j < 1; ð33Þ
u3;4ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffi6C3
b
s ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffia C2
0 � 1� �2
2C20 � 1
4
vuuut JacobiNC C1 �1ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
a 2C20 � 1
� �r xþ C3t;C0
0BB@
1CCA; C3 > 0; a 2C2
0 � 1� �
> 0; kC0j > 1; ð34Þ
u5;6ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�3C3
ffiffiffiffiffiffi2ap
b
scot C1 �
1ffiffiffiffiffiffi2ap xþ C3t
� �; a > 0; C3 < 0; ð35Þ
u7;8ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi3C3
ffiffiffiffiffiffi2ap
b
scot C1 þ
1ffiffiffiffiffiffi2ap xþ C3t
� �; a > 0; C3 > 0; ð36Þ
u9;10ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi3C3
ffiffiffiffiffiffiffiffiffiffi�2ap
b
scoth C1 �
1ffiffiffiffiffiffiffiffiffiffi�2ap xþ C3t
� �; a < 0; C3 > 0; ð37Þ
u11;12ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�3C3
ffiffiffiffiffiffiffiffiffiffi�2ap
b
scoth C1 þ
1ffiffiffiffiffiffiffiffiffiffi�2ap xþ C3t
� �; a < 0; C3 < 0; ð38Þ
u13;14ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi6C3
ffiffiffiffiffiffiffi�ap
b
scsc C1 �
1ffiffiffiffiffiffiffi�ap xþ C3t
� �; a < 0; C3 > 0; ð39Þ
u15;16ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�6C3
ffiffiffiffiffiffiffi�ap
b
scsc C1 þ
1ffiffiffiffiffiffiffi�ap xþ C3t
� �; a < 0; C3 < 0; ð40Þ
u17;18ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�6C3
ffiffiffiap
b
scsch C1 �
1ffiffiffiap xþ C3t
� �; a > 0; C3 < 0; ð41Þ
u19;20ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi6C3
ffiffiffiap
b
scsch C1 þ
1ffiffiffiap xþ C3t
� �; a > 0; C3 > 0; ð42Þ
u21;22ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi6C3
ffiffiffiffiffiffiffi�ap
b
ssec C1 �
1ffiffiffiffiffiffiffi�ap xþ C3t
� �; a < 0; C3 > 0; ð43Þ
u23;24ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�6C3
ffiffiffiffiffiffiffi�ap
b
ssec C1 þ
1ffiffiffiffiffiffiffi�ap xþ C3t
� �; a < 0; C3 < 0; ð44Þ
u25;26ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�6C3
ffiffiffiap
b
ssech C1 þ
1ffiffiffiap xþ C3t
� �; a > 0; C3 < 0; ð45Þ
u27;28ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi6C3
ffiffiffiap
b
ssech C1 �
1ffiffiffiap xþ C3t
� �; a > 0; C3 > 0; ð46Þ
2832 F. Yan et al. / Commun Nonlinear Sci Numer Simulat 17 (2012) 2824–2832
u29;30ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�3C3
ffiffiffiffiffiffi2ap
b
stan C1 �
1ffiffiffiffiffiffi2ap xþ C3t
� �; a > 0; C3 < 0; ð47Þ
u31;32ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi3C3
ffiffiffiffiffiffi2ap
b
stan C1 þ
1ffiffiffiffiffiffi2ap xþ C3t
� �; a > 0; C3 > 0; ð48Þ
u33;34ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi3C3
ffiffiffiffiffiffiffiffiffiffi�2ap
b
stanh C1 �
1ffiffiffiffiffiffiffiffiffiffi�2ap xþ C3t
� �; a < 0; C3 > 0; ð49Þ
u35;36ðx; tÞ ¼ �
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi�3C3
ffiffiffiffiffiffiffiffiffiffi�2ap
b
stanh C1 þ
1ffiffiffiffiffiffiffiffiffiffi�2ap xþ C3t
� �; a < 0; C3 < 0: ð50Þ
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