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. 2014 Oct 8;1(2):140038. doi: 10.1098/rsos.140038

A note on improved F-expansion method combined with Riccati equation applied to nonlinear evolution equations

Md Shafiqul Islam 1, Kamruzzaman Khan 1,, M Ali Akbar 2, Antonio Mastroberardino 3
PMCID: PMC4448903  PMID: 26064530

Abstract

The purpose of this article is to present an analytical method, namely the improved F-expansion method combined with the Riccati equation, for finding exact solutions of nonlinear evolution equations. The present method is capable of calculating all branches of solutions simultaneously, even if multiple solutions are very close and thus difficult to distinguish with numerical techniques. To verify the computational efficiency, we consider the modified Benjamin–Bona–Mahony equation and the modified Korteweg-de Vries equation. Our results reveal that the method is a very effective and straightforward way of formulating the exact travelling wave solutions of nonlinear wave equations arising in mathematical physics and engineering.

Keywords: improved -expansion method, modified Benjamin–Bona–Mahony equation, modified Korteweg-de Vries equation, exact solution, NLEEs

2. Introduction

Nonlinear evolution equations (NLEEs) are widely used to describe many important phenomena and dynamical processes in mathematical physics and engineering. The investigation of exact solutions of NLEEs plays an important role in the study of these physical phenomena. In this paper, we highlight an analytical method, namely the improved F-expansion method, for finding exact solutions of NLEEs. Exact solutions provide a means to describe the salient features in various science, technology and engineering applications and can serve as a basis for perfecting and testing computer algebra software packages for solving NLEEs. It is significant that many equations of physics, chemistry and biology contain empirical parameters or empirical functions. Exact solutions allow researchers to design and run experiments by creating appropriate natural conditions in order to determine these parameters or functions.

However, not all equations of interest are solvable. Hence, it has become increasingly important to be familiar with all traditional and recently developed methods for solving these models and also to develop new methods. As a result, there has been a great amount of activity aimed at finding methods for solving not only NLEEs but also more general types of ordinary and partial differential equations. A list of several of the more well-known methods includes the solitary wave ansätz [1], the first integral method [2,3], the functional variable method [4,5], the Exp-function method [610], the modified simple equation method [1113], the tanh–coth function method [14,15], the Kudryashov method [16,17], the exp(-Φ(ξ))-expansion method [18], the (G′/G)-expansion method [1922], the homotopy perturbation method [2327], the multiple exp-function method [28,29], Bernoulli sub-ODE method [3032], the homotopy analysis method [33,34], the variational iteration method [35] and the F-expansion method [36,37].

In each of these aforementioned works, a variety of ansätz have been proposed for seeking travelling wave solutions of nonlinear differential equations. The choice of an appropriate ansätz is of great importance when using these analytical methods. Among those approaches, the proposed improved F-expansion method is a powerful tool to reveal more general solitons of NLEEs in mathematical physics and engineering. The main idea of this method is to express the travelling wave solutions of NLEEs in terms of functions that satisfy the Riccati equation F′(ξ)=k+F2(ξ).

The major advantage of the improved F-expansion method over the existing other methods is that it provides more new exact travelling wave solutions. To demonstrate the efficiency and reliability of this proposed method, the mBBM equation and the mKdV equation have been solved in which new solutions are found. It is important to note that analysis of convergence and stability for the numerical methods is required, a distinct disadvantage when compared with analytical methods that do not require such an analysis. Apart from the physical relevance, the closed-form solutions of NLEEs can assist the numerical solvers to measure up to the accuracy of their results and thus aid in the convergence analysis.

The rest of the article has been prepared as follows. In §2, the improved F-expansion method is discussed in detail. In §3, we apply this method to obtain solutions to the NLEES mentioned above. In §4, we provide graphical representations of some of the obtained solutions. Section 5 contains the conclusion of our study.

3. Algorithm of improved F-expansion method

In this section, we describe the main steps of the improved F-expansion method for finding exact travelling wave solutions of NLEEs. To begin, consider the well-known Riccati equation:

F(ξ)=k+F2(ξ), 3.1

where F=F(ξ) and the prime stands for derivatives with respect to ξ.

We now present the three cases of the general solutions of the Riccati equation (3.1).

Case 1. When k<0, the general solutions are

F1=ktanh(kξ)

and

F2=kcoth(kξ).

Case 2. When k>0, the general solutions are

F4=ktan(kξ)

and

F5=kcot(kξ).

Case 3. When k=0, the general solution is

F3=1ξ,

where k is the real parameter.

Now consider a general NLEE, say in two independent variables x and t,

P(u,ux,uy,ut,uxx,uxy,uxt,)=0, 3.2

where u=u (x, y, t) is an unknown function, P is a polynomial in u (x, y, t) and its partial derivatives in which the highest order partial derivatives and the nonlinear terms are involved and the subscripts stand for the partial derivatives. The foremost steps of the method are given below.

Step 1. We introduce the travelling wave transformation,

u(x,y,t)=u(ξ),ξ=x+y±λt, 3.3

where λ is the speed of the travelling wave and substitute this into equation (3.2), yielding the ordinary differential equation (ODE):

Q(u,u,u,u,)=0, 3.4

where Q is a polynomial of u and its derivatives and the superscripts specify the ordinary derivatives with respect to ξ.

Step 2. In many instances, equation (3.4) can be integrated term by term one or more times, yielding constants of integration, which can be set equal to zero for simplicity.

Step 3. We assume the travelling wave solution of equation (3.4) can be expressed by a polynomial in F(ξ) as follows:

u(ξ)=i=0Nαi(m+F(ξ))i+i=1Nβi(m+F(ξ))i, 3.5

where F=F(ξ) satisfies the Riccati equation (3.1), αi(i=0,1,2,…,N), βi (i=0,1,2,…,N), λ and m are constants to be determined later.

Step 4. The positive integer N can be determined by using homogeneous balance between the highest order derivatives and the nonlinear terms appearing in the ODE (3.4). If the degree of u(ξ) is D[u(ξ)]=n, then the degree of the other expressions will be given by

D[dpu(ξ)dξp]=n+pandD[up(dqu(ξ)dξq)s]=np+s(n+p). 3.6

Therefore, we can find the value of N in equation (3.5), using equation (3.6).

Step 5. Substituting equation (3.5) into equation (3.4) together with the value of N obtained in step 4, we obtain polynomials in F(ξ). We set each coefficient of the resulting polynomial to zero, yielding an over-determined set of algebraic equations for αN, βN, m and λ.

Step 6. We suppose the values of the constants αN, βN, m and λ can be determined by solving the algebraic equations obtained in step 5. As the general solution of equation (3.1) is known to us, inserting the value of αN, βN, m and λ into equation (3.5) yields the general and new exact travelling wave solutions of the nonlinear partial differential equation (3.1).

4. Applications

Example 4.1 —

The modified Benjamin–Bona–Mahony (mBBM) equation.

The Benjamin–Bona–Mahony (BBM) equation ut+ux+aunux+buxxt=0 is a well-known NLEE that models long waves in a nonlinear dispersive system. The solution of the BBM equation exhibits soliton-like behaviour. The BBM equation is used in the analysis of the surface waves of long wavelength in liquids, hydromagnetic waves in cold plasma, acoustic-gravity waves in compressible fluids and acoustic waves in harmonic crystals. When n=2, the BBM equation is called the modified BBM equation [3,38] and is given by

ut+ux+au2ux+buxxt=0, 4.1

where a and b are positive constants. This equation was introduced for modelling long waves of small amplitude in (1+1)-dimensions. We substitute the travelling wave transformation u(x, t)=u(ξ), ξ=x+λt into equation (4.1) and obtain the ODE

λu+u+au2u+bλu=0. 4.2

Now integrating equation (4.2) with respect to ξ once and setting the constant of integration to zero, we obtain

bλu+a3u3+(λ+1)u=0. 4.3

Taking the homogeneous balance between the highest order nonlinear term u3 and the derivative term u′′ from equation (4.3), yields 3N=N+2, i.e. N=1.

Hence for N=1 equation (3.5) reduces to

u(ξ)=α0+α1(m+F(ξ))+β1(m+F(ξ))1. 4.4

Now substituting equation (4.4) into equation (4.3), we obtain a polynomial in F(ξ). Setting the coefficients of the powers of F(ξ) to zero, we obtain the following system of algebraic equations:

6bλα1+αα13=0,3αα0α12+6αα13+18bλα1m=0,6bλα1k+3αα02α1+15αα0α12m+18bλα1m2+15αα13m2+3λα1+3αα12β1+3α1=0,20αα13m3+30αα0α12m2+12α1m+12αα12mβ1+3α0+18bλα1km+αα036bλβ1m+3λα0+12λα1m+6bλα1m3+6αα0α1β1+12αα02α1m=0,3λβ1+18αα12m2β1+3αα1β12+6bλβ1k+18αα0α1mβ1+18α1m2+18bλα1km2+18λα1m2+3αα02β1+3β1+9α0m+9λα0m+15αα13m4+18αα02α1m2+3αα03m+30αα0α12m3=0,6bλβ1km+12αα02α1m3+12α1m3+18αα0α1β1m2+6β1m+6αα1mβ12+9λα0m2+3αα0β12+6bλα1km3+15αα0α12m4+12αα12m3β1+6αα13m5+9α0m2+6αα02β1m+6λβ1m+12λα1m3+3αα03m2=0andαβ13+3λα1m4+αα13m6+6bλβ1k2+3α0m3+3λβ1m2+3α1m4+3αα02β1m2+3αα12m4β1+3αα1m2β12+αα03m3+3λα0m3+3αα0β12m+3αα0α12m5+3β1m2+3αα02α1m4+6αα0α1m3β1=0.

Solving the above system of equations for α0, α1, β1, m and λ, we obtain the following values:

Set-1:

m=0,λ=11+2bk,α0=0,α1=0,β1=±6bka(1+2bk).

Set-2:

m=m,λ=11+2bk,α0=6bma(1+2bk),α1=±6ba(1+2bk),β1=0.

Set-3:

m=0,λ=18bk+1,α0=0,α1=±6ba(8bk+1),β1=6bkab(8bk+1).

Set-4:

m=0,λ=14bk+1,α0=0,α1=±(2bk6)ab(4bk1)a,β1=6bk(24bk6)ab.

Set-5:

m=±166b(1+2bk)b,λ=11+2bk,α0=1a,α1=0β1=±4bk1a6b(1+2bk).

Set-6:

m=±ab(1+2bk)α06b,λ=11+2bk,α0=α0,α1=0β1=(2bkaα02+aα02+6bk)6ab(1+2bk).

Case 1. When k<0, we get the following hyperbolic trigonometric solutions.

Family-1:

u1,2(ξ)=±6bka(1+2bk)coth(kξ)

and

u3,4(ξ)=±6bka(1+2bk)tanh(kξ),

where ξ=xt/(1+2bk).

Family-2:

u5,6(ξ)=6bka(1+2bk)tanh(kξ)

and

u7,8(ξ)=6bka(1+2bk)coth(kξ),

where ξ=xt/(1+2bk).

Family-3:

u9,10(ξ)=b6k(1+tanh2(kξ))a(8kb+1)coth(kξ),

and

u11,12(ξ)=b6k(1+coth2(kξ))a(8kb+1)tanh(kξ),

where ξ=xt/(8bk+1).

Family-4:

u13,14(ξ)=26bka(4bk1)csch(2kξ)

and

u15,16(ξ)=±2I6bka(4bk1)sech(2kξ),

where ξ=x+t/(4bk−1).

Family-5:

u17,18(ξ)=±b(6bk±6b(1+2bk)ktanh(kξ))6ab(1+2bk)(6b(1+2bk)6bktanh(kξ))

and

u19,20(ξ)=±b(6bk±6b(1+2bk)kcoth(kξ))6ab(1+2bk)(6b(1+2bk)6bkcoth(kξ)),

where ξ=xt/(1+2bk).

Family-6:

u21,22(ξ)=(6b(6bk±α0ab(1+2bk)ktanh(kξ))ab(1+2bk)(α06ab(1+2bk)6bktanh(kξ)))

and

u23,24(ξ)=(6b(6bk±α0ab(1+2bk)kcoth(kξ))ab(1+2bk)(α06ab(1+2bk)6bkcoth(kξ))),

where ξ=xt/(1+2bk).

Case 2. When k>0, we get the following trigonometric solutions.

Family-7:

u25,26(ξ)=±6bka(1+2bk)cot(kξ)

and

u27,28(ξ)=6bka(1+2bk)tan(kξ),

where ξ=xt/(1+2bk)

Family-8:

u29,30(ξ)=±6bka(1+2bk)tan(kξ)

and

u31,32(ξ)=6bka(1+2bk)cot(kξ),

where ξ=xt/(1+2bk).

Family-9:

u33,34(ξ)=±b6k(tan2(kξ)1)ab(8bk+1)cot(kξ)

and

u35,36(ξ)=b6k(cot2(kξ)1)ab(8bk+1)tan(kξ),

where ξ=xt/(8bk+1).

Family-10:

u37,38(ξ)=2I6bka(4bk1)csc(2kξ)

and

u39,40(ξ)=±2I6bka(4bk1)sec(2kξ),

where ξ=x+t/(4bk−1).

Family-11:

u41,42(ξ)=±(b(6bk6b(1+2bk)ktan(kξ))6ab(1+2bk)(6b(1+2bk)±6bktan(kξ)))

and

u43,44(ξ)=±(b(6bk±6b(1+2bk)kcot(kξ))6ab(1+2bk)(6b(1+2bk)6bkcot(kξ))),

where ξ=xt/(1+2bk).

Family-12:

u45,46(ξ)=±(6b(6bkα0ab(1+2bk)ktan(kξ))ab(1+2bk)(α06ab(1+2bk)±6bktan(kξ)))

and

u47,48(ξ)=(6b(6bk±α0ab(1+2bk)kcot(kξ))ab(1+2bk)(α06ab(1+2bk)6bkcot(kξ))),

where ξ=xt/(1+2bk).

Case 3. When k=0, we get the following solutions.

Family-13:

u49,50(ξ)=(6baξ),

where ξ=xt.

Family-14:

u51,52(ξ)=6baξ,

where ξ=x+t.

Family-15:

u53,54(ξ)=±6baξ,

where ξ=xt.

Family-16:

u55,56(ξ)=6ba(6bξ6b),

where ξ=xt.

Family-17:

u57,58(ξ)=(6α0b6abα0ξ6b),

where ξ=xt.

Remark —

All of these solutions have been verified with Maple by substituting them into the original equations.

Example 4.2 —

The modified Korteweg–de Vries (mKdV) equation.

In this section, we consider the mKdV equation given by

utu2ux+δuxxx=0, 4.5

where δ is a non-zero constant. The mKdV equation is similar to the KdV equation in that both are completely integrable and each has infinitely many conserved quantities. The mKdV equation appears in the study of electric circuits and multi-component plasmas [39,40].

We substitute the travelling wave transformation u(x,t)=u(ξ), ξ=x+λt into equation (4.5) and obtain the ODE:

λuu2u+δu=0. 4.6

Now integrating equation (4.6) with respect to ξ once and setting the constant of integration to zero, we obtain

δuu33+λu=0. 4.7

Taking the homogeneous balance between the highest order nonlinear term u3 and the derivative term u′′ from equation (4.3), yields 3N=N+2, i.e. N=1.

Hence for N=1 equation (2.5) reduces to

u(ξ)=α0+α1(m+F(ξ))+β1(m+F(ξ))1. 4.8

Now substituting equation (4.8) into equation (4.7), we get a polynomial in F(ξ). Setting the coefficients of the powers of F(ξ) to zero, we obtain the following system of algebraic equations:

6δα1α13=0,18δα1m3α0α126α13m=0,6δα1k15α13m23α12β+18δα1m2+3λα13α02α115α0α12m=0,12λα1m12α12mβ16δβ1m30α0α12m2+18δα1km+3λα020α13m36α0α1β1+6δα1m312α02α1mα03=0,15α13m418α12m2β1+9λα0m18α0α1mβ1+18λα1m2+18δα1km23α1β12+6δβ1k18α02α1m23α03m+3λβ130α0α12m33α02β1=0,6α02β1m18α0α1β1m212α12m3β1+6λβ1m15α0α12m4+12λα1m3+9λα0m26α1mβ123α03m2+6δα1km36δβ1km3α0β1212α02α1m36α13m5=0and6δβ1k23α12m4β13α1m2β12α03m36α0α1m3β1+3λα0m33α02β1m2+3λα1m4+3λβ1m2α13m63α0β12m3α0α12m5β133α02α1m4=0.

Solving the above system of equations for α0, α1, β1, m and λ, we get the following values:

Set-1:

m=0,λ=2δk,α0=0,α1=0,β1=±6δk.

Set-2:

m=±16δα0,λ=2δk,α0=α0,α1=0,β1=(α02+6δk)6δ.

Set-3:

m=m,λ=2δk,α0=6δm,α1=±6δ,β1=0.

Set-4:

m=0,λ=2δk±6δk,α0=0,α1=±6δ,β1=±6δk.

Case 1. When k<0, we get the following hyperbolic trigonometric solutions.

Family-1:

u1,2(ξ)=±6δkcoth(kξ)

and

u3,4(ξ)=±6δktanh(kξ),

where ξ=x−2δkt.

Family-2:

u5,6(ξ)=(6(α0ktanh(kξ)δ±6δk)6α06ktanh(kξ)δ)

and

u7,8(ξ)=(6(α0kcoth(kξ)δ±6δk)6α06kcoth(kξ)δ),

where ξ=x−2δkt.

Family-3:

u9,10(ξ)=6δktanh(kξ)

and

u11,12(ξ)=6δkcoth(kξ),

where ξ=x−2δkt.

Family-4:

u13,14(ξ)=±6δkcsch(kξ)sech(kξ),

where ξ=x+(−2δk±6δ)t.

Case 2. When k>0, we get the following trigonometric solutions.

Family-5:

u15,16(ξ)=±6δkcot(kξ)

and

u17,18(ξ)=6δktan(kξ),

where ξ=x−2δ kt.

Family-6:

u19,20(ξ)=±(6(α0ktan(kξ)δ6δk)6α0±6ktan(kξ)δ)

and

u21,22(ξ)=(6(α0kcot(kξ)δ±6δk)6α06kcot(kξ)δ),

where ξ=x−2δkt.

Family-7:

u23,24(ξ)=±6δktan(kξ)

and

u25,26(ξ)=6δkcot(kξ),

where ξ=x−2δkt.

Family-8:

u27,28(ξ)=±6δkcsc(kξ)sec(kξ),

where ξ=x+(−2δk±6δ)t.

Case 3. When k=0, we get the following solutions.

Family-9:

u29,30(ξ)=(6α0δ6α0ξ6δ),

where ξ=x.

Family-10:

u31,32(ξ)=6δξ,

where ξ=x.

Family-11:

u33,34(ξ)=6δξ,

where ξ=x.

Remark —

All of these solutions have been verified with Maple by substituting them into the original equations.

5. Graphical representation of the obtained solutions

Using mathematical software Maple, three-dimensional plots of some obtained solutions are shown in figures 16 to visualize the underlying features of the exact travelling wave solutions. In particular, three-dimensional profiles for the solutions of mBBM equation are represented in figures 14 and that of the mKdV equation are shown in figures 5 and 6.

Figure 2.

Figure 2.

Bell-shaped soliton solution u13(ξ) of mBBM equation for a=2, b=0.50 and k=−0.50.

Figure 3.

Figure 3.

Periodic solution u29(ξ) of mBBM equation for a=1, b=1 and k=7.

Figure 1.

Figure 1.

Kink-shaped soliton solution u3(ξ) of mBBM equation for a=1, b=0.10 and k=−0.10.

Figure 6.

Figure 6.

Periodic solution u18(ξ) of mKdV equation for δ=1 and k=1.

Figure 4.

Figure 4.

Periodic solution u39(ξ) of mBBM equation for a=3, b=7 and k=7.

Figure 5.

Figure 5.

Kink-shaped soliton solution u3(ξ) of mKdV equation for δ=1 and k=−1.

6. Conclusion

In this paper, we have used the improved F-expansion method to seek exact solutions of mBBM and mKdV equations and have found new solutions. Each of the obtained solutions, given in terms of hyperbolic solutions, trigonometric solutions and rational solutions, contains an explicit function of the variables in the considered equation. The performance of the improved F-expansion method confirms that it is a reliable and effective technique for finding exact solutions for a large class of problems in mathematical physics and engineering and can also be extended to other types of NLEEs. A similar study for solving other models, like Burgers equation, Fisher’s equation, Schrödinger equation, Sine-Gordon equation, Klein Gordon equation, etc., that arise in mathematical physics and engineering is a possible future direction.

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