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Construction of exact traveling wave solutions of the Bogoyavlenskii equation by (G′ /G, 1/G)-expansion and (1/G′ )-expansion techniques

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Results in Physics 19 (2020) 103409

Available online 1 October 2020

2211-3797/© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Construction of exact traveling wave solutions of the Bogoyavlenskii

equation by (G

/

G, 1/G)-expansion and (1/G

)

-expansion techniques

Asíf Yokus

a

, Hülya Durur

b

, Hijaz Ahmad

c

, Phatiphat Thounthong

d

, Ying-Fang Zhang

e,* aDepartment of Actuary, Faculty of Science, Firat University, Elazig 23200, Turkey

bDepartment of Computer Engineering, Faculty of Engineering, Ardahan University, Ardahan 75000, Turkey cDepartment of Basic Sciences, University of Engineering and Technology, Peshawar 25000, Pakistan

dRenewable Energy Research Centre, Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology

North Bangkok, 1518 Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand

eSchool of Mathematics and Information Science, Henan Polytechnic University, Jiaozuo 454000, China

A R T I C L E I N F O Keywords:

(1/G

)-expansion technique Traveling wave solutions The Bogoyavlenskii equation Expansion method Exact solution

A B S T R A C T

In this article, we construct exact solutions of the Bogoyavlenskii equation using (1/G

)-expansion and (G/G, 1/G)-expansion techniques. Both techniques have been successfully implemented to obtain exact solutions including hyperbolic, complex trigonometric, trigonometric and rational solutions of the Bogoyavlenskii equa-tion. 3D, contour and 2D graphics are presented of the solutions obtained for different special values. Further, the advantages and disadvantages of both the techniques have been discussed in this study. The proposed techniques are reliable and applicable for attaining wave solutions of nonlinear differential equations. Also, these techniques can greatly minimize the size of computing work compared to other available techniques.

1. Introduction

Nonlinear partial differential equations (nPDEs) are absolutely essential to progress in the study of all scientific & engineering disci-plines, including physics, engineering & chemistry. nPDEs are formu-lated from first principles to accurately describe key underlying features of what is being studied, whether it be fluid-, orbital-, structural-, aero-, or other mechanics or mechanisms. The solution to such nPDEs, either in closed form (if possible), or by brute force (if necessary, using com-puters), provide the answers to important scientific questions that enable progress in confidently understanding the complex phenomena being studied. Analytical solutions of these equations are of great importance in many physical phenomena, such as applied mechanics, fluid dynamics, finance, solid state physics, astronomy, plasma physics, computational mechanics and hydrodynamics. In the last few decades, many new techniques have been applied for finding these solutions, e.g.,

modified exp( − Ω(ζ))-expansion function technique [1,2], parameter

expansion technique [3], (1/G

)-expansion technique [4,5], auxiliary

equation method [6,7], Homotophy analysis technique [8],

Sine–Gordon expansion technique [9], trigonometric function series

method [10,11], modified mapping method [12], modified

trigono-metric function series method [13], bifurcation method [14], modified

(G/G)-expansion technique [16,15], meshfree techniques [17–19],

multiple scales Homotopy perturbation technique [20], local meshless

method [21,22], sub equation technique [23], Adomian’s

decomposi-tion technique [24], new sub equation technique [25], variational

iteration algorithm-I [26–29], variational principle [30–32], Laplace

transform technique [33,34], ricatti transformation method [35]

vari-ational iteration technique [36–38], variational iteration algorithm-II

[39–43], Hamiltonian approach [44,45], homotopy perturbation

tech-nique [46–48] and other procedures [49–58].

The main aim of the current paper is to construct the exact solutions of the Bogoyavlenskii equation by using these two different expansion

techniques. Consider the Bogoyavlenskii equation [59]:

4ut+uxxy − 4u2uy4uxv = 0,

uuy=vx. (1)

There are a variety studies related to the Bogoyavlenskii equation. For example; Malik et al. investigated the Bogoyavlenskii equation by

applying (G

/G)-expansion technique [59], analytical solutions of the

Bogoyavlenskii equation are obtained by applying the singular manifold

technique and the traveling wave technique by Peng and Shen [60].

Modified extended tanh-function technique utilized by Zahran et al.

[61] to obtained analytical solution of the Bogoyavlenskii equation. Yu * Corresponding author.

E-mail address: zhangyingfang@hpu.edu.cn (Y.-F. Zhang).

Contents lists available at ScienceDirect

Results in Physics

journal homepage: www.elsevier.com/locate/rinp

https://doi.org/10.1016/j.rinp.2020.103409

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and Sun [62] applied modified technique of simplest equation for the analytical treatment of the Bogoyavlenskii equation.

The remaining portion of this paper is as: In Section 2,

(1/G′)-expansion technique is elaborated, in Section 3, (G/G,

1/G)-expansion technique is discussed and illustrated. In Section 4,

(1/G′)-expansion technique is used to obtained traveling wave solutions

of the Bogoyavlenskii equation. In Section 5, applications of (G

/G,

1/G)-expansion technique are discussed and utilized to solve the Bogoyavlenskii equation, applicability and reliability of the proposed techniques are shown through 3D, contour and 2D graphics. Conclusion is discussed in the last section.

2. (1/G

)-expansion technique

Consider a general form of the following nonlinear PDE,

σ ( u,∂u ∂t, ∂u ∂x, ∂u ∂y, 2 u ∂x2,… ) =0. (2)

Here, let u = U(ζ) = u(x, y, t),v = V(ζ) = v(x, y, t), ζ = x + y − ct,

c ∕= 0, where c is a constant and the speed of the wave. We can convert it into the following nODE for U(ζ)

τ(U, U,U′′,

…) = 0, (3)

where prime refers to derivatives related to ζ. The solution of Eq. (4) is

assumed to have the form

u(ζ) = a0+ ∑n i=1 ai ( 1 G′ (ζ) )i , (4)

whereas ai, (i = 0, 1, …, n) are constants, n is the balancing term and is

an integer, G = G(ζ) provides the following second order IODE

G′′+κG

+μ=0, (5)

where μand κare constants to be determined after,

1

G′ (ζ)=

1

μκ+Acosh(ζκ) − Asinh(ζκ), (6)

where A is integral constant. If the desired derivatives of the Eq. (4) are

calculated and substituting in the Eq. (3), a polynomial with the

argu-ment (1/G

)is attained. An algebraic equation system is created by

equalizing the coefficients of this polynomial to zero. The equation are

solved using package program and put into place in the default Eq. (3)

solution function. Lastly, the solutions of Eq. (1) are found.

3. (G

/G, 1/G)-expansion technique

Consider a general form of NLEEs containing two or more arguments to be analyzed is written as follows:

Z(u, ut,ux,uy,utt,uxx,… )

=0. (7)

If u = U(ζ) = u(x, y, t), v = V(ζ) = v(x, y, t), ζ = x +y − ct

trans-mutation is applied in Eq. (7), Eq. (7) is converted into a NLODE and this

equation may usually be written as:

z(U,U′′,

U′′′,…) = 0. (8)

where prime refers to derivatives related to ζ. Complexity can be

reduced by integrating Eq. (8). By the nature of this technique, G = G(ζ)

provides the following second order IODE

G′′(ζ) + κG(ζ) =μ. (9)

Furthermore, to provide operational aesthetics as ϕ = ϕ(ζ) = G

(ζ)/ G

(ζ)GG(ζ) and ψ=ψ(ζ) =1/1G(ζ)G(ζ) We may write derivatives of

functions defined here;

ϕ′= − ϕ2+μψ κ,ψ

= − ϕψ. (10)

We can offer the behavior of solution function Eq. (9) according to

the state of κ, taking into account the equations given by the Eq. (10).

i: If κ < 0 G(ζ) = c1sinh( ̅̅̅̅̅̅ − κζ) + c2cosh( ̅̅̅̅̅̅ − κζ) +μ κ, (11)

whereas c1 and c2 are reel numbers. Considering Eq. (11),

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ψ2=κ κ2σ+μ2 ( ϕ2 2μψ+κ),σ=c2 1− c22, (12) Eq. (12) is written. ii: If κ > 0 G(ζ) = c1sin ( ̅̅̅ κζ ) +c2cos ( ̅̅̅ κζ ) +μ κ, (13)

here c1 and c2 are reel numbers. Considering Eq. (13),

ψ2= κ κ2σ μ2 ( ϕ2 2μψ+κ),σ=c2 1+c22, (14) is written. iii: If κ = 0 G(ζ) =μ 2ζ 2+c 1ζ + c2, (15)

here c1 and c2 are reel numbers. Considering Eq. (15),

ψ2= 1

c2 1− 2μc2

(

ϕ2 2μψ), (16)

is written. In terms of ϕ and ψ polynomials, solution of Eq. (8) is

u(ζ) =n i=0 aiϕi+ ∑n i=1 biϕi− 1ψ. (17)

Wherein, ai(i = 0, 1, …, n) and bi(i = 1, …, n) counts then are

con-stants to be find out. n is a positive equilibrium term that may be ob-tained by comparing the maximum order derivative and the maximum order nonlinear term in Eq. (13). If Eq. (17) is written in Eq. (8) with Eqs.

(10), (12), (14) or (16), a polynomial function associated with ϕ and ψ is

written. Each term coefficient of ϕiψj(i = 0, 1, …, n) (j = 1, …, n) of the

attained polynomial functions are equated to zero and a system alge-braic equations is obtained for ai,bi,c,μ,c1,c2 and κ (i = 0, 1, …, n). The

necessary coefficients are attained by solution of the algebraic equation with help of built in computer-package programs. Obtained coefficients

are written in Eq. (17) and U(ζ) solution function of Eq. (8) is obtained

and if ζ = x +y − ct transmutation is implemented in the reverse order, we will attain analytic solution u(x, y, t) of Eq. (7).

4. Application of (1/G

)-expansion technique

We take Eq. (1) and using transformation

u = U(ζ) = u(x, y, t), v = V(ζ) = v(x, y, t), ζ = x +y − ct, c represents

the velocity of the traveling wave, we obtain − 4cU′+U′′′− 4U2U

4UV = 0,

V = U2/U22 , (18)

in Eq. (18), the second equation is written in the first equation and once

integral is taken

U′′ 2U3 4cU = 0. (19)

In Eq. (19), we get term n = 1 from the definition of balancing term

and the following situation is obtained in Eq. (4),

U(ζ) = a0+a1 ( 1 G′ (ζ) ) , a1 ∕= 0, (20)

where a0,a1 unknown constants to be find out later. Eq. (20) into Eq.

(19) and coefficients are equal to zero, we may establish the following algebraic equation systems

Const : − 4ca0− 2a30=0, ( 1 G′ [ζ] )1 : − 4ca1+κ2a1− 6a20a1=0, ( 1 G′ [ζ] )2 : 3κμa1− 6a0a21=0, ( 1 G′ [ζ] )3 :2μ2a 1− 2a31=0. (21) Case I. a0= − κ 2, c = − κ2 8, μ= − a1, (22)

replacing values Eq. (22) into Eq. (20) and attain the following

hyper-bolic exact solutions for Eq. (1):

u1(x, y, t) = − κ 2+ a1 Acosh [ κ ( x + y +tκ2 8 ) ] − Asinh [ κ ( x + y +tκ2 8 ) ] +a1 κ , (23) v1(x, y,t) = 1 2 ⎛ ⎜ ⎜ ⎝ − κ 2+ a1 Acosh [ κ ( x + y +tκ2 8 ) ] − Asinh [ κ ( x + y +tκ2 8 ) ] +a1 κ ⎞ ⎟ ⎟ ⎠ 2 . (24)

The hyperbolic exact solutions of Eqs. (23) and (24) produced from

the (1/G

)-expansion technique is as in Fig. 1.

Case II. a0= − i ̅̅̅ 2 √ ̅̅̅ c, a1= − μ, κ = 2i ̅̅̅ 2 √ ̅̅̅ c, (25)

replacing values Eq. (25) into Eq. (20) and get the following complex

trigonometric wave solution for Eq. (1):

u2(x, y, t) = − i ̅̅̅ 2 √ ̅̅̅ c √ − iμ μ 2√̅̅2√̅̅c+Acos [ 2√̅̅̅2√̅̅̅c( − ct + x + y)]− iAsin[2√̅̅̅2√̅̅̅c( − ct + x + y)], (26) v2(x, y, t) = 1 2 ⎛ ⎜ ⎜ ⎝ − i ̅̅̅ 2 √ ̅̅̅ c √ − iμ μ 2√̅̅2√̅̅c+Acos [ 2√̅̅̅2√̅̅̅c( − ct + x + y)]− iAsin[2√̅̅̅2√̅̅̅c( − ct + x + y)] ⎞ ⎟ ⎟ ⎠ 2 . (27)

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The complex trigonometric wave solution of Eqs. (26) and (27)

produced from the (1/G

)-expansion technique is as in Figs. 2 and 3.

Fig. 2. 3D, contour and 2D graphs respectively for A = 0.4,μ= −1, c = 0.6, y = 1 values of Eq. (26).

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5. Applications (G

/G, 1/G)-expansion technique

In Eq. (19), we get n = 1 from the definition of balancing term and

the following situation is obtained in Eq. (17),

u(ζ) = a0+a1ϕ[ζ] + b1ψ[ζ], (28)

replacing Eq. (28) into Eq. (19) and the coefficients are equal to zero, we

may establish the following algebraic equation systems

Const : − 4ca0− 2a30+ κ2μb 1 μ2+κ2σ+ 2a 0b21 μ2+κ2σ=0, ϕ[ζ] : − 4ca1+2κa1− 6a20a1+ 2a 1b21 μ2+κ2σ=0, ϕ[ζ]2 : − 6a 0a21+ κμb1 μ2+κ2σ+ 6κa0b21 μ2+κ2σ=0, ϕ[ζ]3 : 2a 1− 2a31+ 6κa1b21 μ2+κ2σ=0, ψ[ζ] : −4cb1+κb1− 2κμ2b 1 μ2+κ2σ6a20b1− 12κμa0b21 μ2+κ2σ=0, ϕ[ζ]ψ[ζ] : − 3μa1− 12a0a1b1− 12κμa1b21 μ2+κ2σ=0, ϕ[ζ]2ψ[ζ] : 2b1− 6a21b1=0, ψ[ζ]3 : − 2b3 1=0. (29)

The aim with ready computer package program has been achieved and we conclude with the following remarks:

If κ < 0, Case I:

a0=0, a1= − 1, b1=0, c =

κ

2, μ=0, (30)

replacing values Eq. (30) into Eq. (28) and attain the following

hyper-bolic exact solutions for Eq. (1):

u3(x,y,t) = − c2 ̅̅̅̅̅̅ − κ √ cosh[ ̅̅̅̅̅̅√− κ ( x + y − 2 )] +c1 ̅̅̅̅̅̅ − κ √ sinh[ ̅̅̅̅̅̅√− κ ( x + y − 2 )] c1cosh [ ̅̅̅̅̅̅ − κ √ ( x + y − 2 )] +c2sinh [ ̅̅̅̅̅̅ − κ √ ( x + y − 2 )] , (31) v3(x,y,t)= ( c2 ̅̅̅̅̅̅ − κ √ cosh[ ̅̅̅̅̅̅√− κ ( x+y− 2 )] +c1 ̅̅̅̅̅̅ − κ √ sinh[ ̅̅̅̅̅̅√− κ ( x+y− 2 )])2 2 ( c2cosh [ ̅̅̅̅̅̅ − κ √ ( x+y− 2 )] +c2sinh [ ̅̅̅̅̅̅ − κ √ ( x+y− 2 )])2 . (32)

The hyperbolic exact solutions of Eqs. (31) and (32) produced from

the (G

/G, 1/G)-expansion technique is as in Fig. 4.

If κ > 0, Case II:

a0=0, a1= − 1, b1=0, μ=0, c =

κ

2, (33)

replacing values Eq. (33) into Eq. (28) and attain the following

trigo-nometric exact solutions for Eq. (1):

u4(x, y, t) = − c2 ̅̅̅ κ √ cos[ ̅̅̅√ (κ x + y − 2 ) ] − c1 ̅̅̅ κ √ sin[ ̅̅̅√ (κ x + y − 2 ) ] c1cos [ ̅̅̅ κ √ ( x + y − 2 ) ] +c2sin [ ̅̅̅ κ √ ( x + y − 2 ) ] , (34) v4(x, y, t) = ( c2 ̅̅̅ κ √ cos[ ̅̅̅√ (κ x + y − 2 ) ] − c1 ̅̅̅ κ √ sin[ ̅̅̅√ (κ x + y − 2 ) ] )2 2 ( c1cos [ ̅̅̅ κ √ ( x + y − 2 ) ] +c2sin [ ̅̅̅ κ √ ( x + y − 2 ) ] )2 . (35)

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The trigonometric exact solutions of Eqs. (34) and (35) produced from the (G

/G,1/G)-expansion technique is as in Fig. 5.

Fig. 5. 3D, contour and 2D graphs respectively for κ = 1, y = 1, c1=1, c2=3 values of Eqs. (34) and (35).

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If κ = 0, Case III:

a0=0, a1=1, b1=0, c = 0, μ=0, (36)

replacing values Eq. (36) into Eq. (28) and attain the following rational

exact solutions for Eq. (1):

u5(x, y, t) = c2 c1+c2(x + y) , (37) v5(x, y, t) = c22 2(c1+c2(x + y) )2 . (38)

The rational exact solutions of Eqs. (37) and (38) produced from the

(G/G,1/G)-expansion technique is as in Fig. 6.

6. Results and discussion

Both techniques are effective and powerful techniques for solving

partial differential equations. In terms of the solutions it produces, (G

/G,

1/G)-expansion technique offers more solutions. These solutions vary depending on the condition of the κ. In terms of transaction density, we can say that (1/G

)-expansion technique is more advantageous. This

situation can be seen in the systems of Eqs. (21) and (29) obtained in the

application of the techniques, which Eq. (21) is simpler than the Eq.

(29). What is scientifically beautiful is that both techniques offer

different types of solutions. If we examine both techniques in terms of the balancing term, we can conclude that as the balancing term grows,

the transaction complexity in the (G

/G,1/G)- expansion technique will

become even more intense. When the constants in the solutions obtained in this study gain physical meaning, it will be much more valuable. This may be important to the solutions produced for us scientists working in physical practice. Consequently, both techniques can be recommended to get solutions of nonlinear partial differential equations.

7. Conclusions

In this letter, (G

/G,1/G)-expansion and (1/G′)-expansion techniques were used for obtaining different type traveling wave solutions of the Bogoyavlenskii equation. Both techniques are effective and powerful in obtaining solutions of (nPDEs). Both techniques were applied success-fully and the data obtained were presented, the ready computer package program is utilized for graphics and computations. By applying these techniques to the Bogoyavlenskii equation, different type traveling wave solutions hyperbolic, complex trigonometric, trigonometric and rational solutions are obtained. For the solutions found 3D, contour and 2D graphics are presented for different values given to the constants. Furthermore, the applied techniques are effective, powerful and can be used in future works to establish new exact solutions of many other nonlinear differential equations.

Funding

The research was supported by the National Natural Science Foun-dation of China (Grant No. 11501170).

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Şekil

Fig. 1. 3D, contour and 2D graphs respectively for A = 0.4, κ = 1, a 1 = 5, y = 1 values of Eqs
Fig. 2. 3D, contour and 2D graphs respectively for A = 0.4, μ = − 1, c = 0.6, y = 1 values of Eq
Fig. 4. 3D, contour and 2D graphs respectively for κ = − 1, y = 1, c 1 = 2, c 2 = 5 values of Eqs
Fig. 5. 3D, contour and 2D graphs respectively for κ = 1, y = 1, c 1 = 1, c 2 = 3 values of Eqs

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