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https://doi.org/10.1140/epjp/s13360-020-00646-8 R eg u l a r A r t i c l e

Role of Gilson–Pickering equation for the different types of soliton solutions: a nonlinear analysis

Asıf Yoku¸s1, Hülya Durur2, Kashif Ali Abro3,4,a , Do˘gan Kaya5

1Department of Actuary, Faculty of Science, Firat University, Elazig 23100, Turkey

2Department of Computer Engineering, Faculty of Engineering, Ardahan University, Ardahan 75000, Turkey 3Faculty of Natural and Agricultural Sciences, Institute of Ground Water Studies, University of the Free

State, Bloemfontein, South Africa

4Department of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro, Pakistan

5Department of Mathematics, Istanbul Commerce University, Uskudar, Istanbul, Turkey

Received: 2 June 2020 / Accepted: 28 July 2020 / Published online: 16 August 2020

© Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2020

Abstract In this article, the soliton solutions of the Gilson–Pickering equation have been constructed using the sinh-Gordon function method (ShGFM) and (G/G, 1/G)-expansion method, which are applied to obtain exact solutions of nonlinear partial differential equations.

A solution function different from the solution function in the classical (G/G, 1/G)-expansion method has been considered which are based on complex trigonometric, hyperbolic, and ratio- nal solutions. By invoking ShGFM and (G/G, 1/G)-expansion methods, different traveling wave solutions have been investigated. For the sake of avoiding the complex calculations, the ready package program has been tackled. The comparative analysis of sinh-Gordon function and (G/G, 1/G)-expansion methods has shown several differences and similari- ties. A comparative analysis of ShGFM and (G/G, 1/G)-expansion methods assures that the (G/G, 1/G)-expansion method has been found to be more intensive, powerful, reliable and effective method for the Gilson–Pickering equation. The graphical illustrations of two-, three-dimensional, and contour graphs have been depicted as well.

1 Introduction

Analytical solutions of nonlinear partial differential equations play an active role in nonlinear sciences. Various techniques have been used to explore the analytical solutions of different types of nonlinear partial differential equations. Extensive studies of the literature provide some reliable contributions in this area. There are a variety of methods to solve nonlin- ear partial differential equations, such as modified exp(−Ω(ξ))-expansion function method [1–3], the residual power series method [4,5] (1/G)-expansion method [6–8], F-expansion technique [9], (G/G)-expansion method [10,11], collocation method [12,13], Adomian’s decomposition method [14,15], Laplace transform method [16], new sub-equation method [17,18], and so on [19–32].

ae-mail:kashif.abro@faculty.muet.edu.pk(corresponding author)

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There are many studies related to the Gilson–Pickering equation; for instance, by apply- ing the qualitative theory of the polynomial differential system, the qualitative behavior and analytical solutions of the Gilson–Pickering equation were studied [33], different types of solutions of the Gilson–Pickering equation have been attained by applying the simplified G/G expansion method [34], by using a hybrid scheme based on collocation and quintic B- spline functions, the Gilson–Pickering equation has been solved [35], complex soliton solu- tions of the Gilson–Pickering equation have been attained using the Bernoulli sub-equation function method [36], soliton solutions of the Gilson–Pickering equation have been attained using (1/G)-expansion method [37], soliton solutions of the Gilson–Pickering equation have been attained using the solitary ansatz method and (G/G)-expansion method [38], and the Gilson–Pickering equation has been solved using the numerical meshless method [39]. Ana- lytical solutions either from linear and nonlinear differential equations are of vital importance not only because they are the solutions for some fundamental application problems but also they serve as accuracy checks for experimental, asymptotic and numerical solutions [40–48].

Additionally, for the sake of deepness of analytical solutions, we invoke the recent stud- ies of fractional analytical solutions [49–53] as well as non-fractional analytical solutions [54–57] therein. In this study, we have been attained analytical solutions of the Gilson–Pick- ering equation by using ShGFM and (G/G, 1/G)-expansion method. The Gilson–Pickering equation which is a model of the third order (NLPDE) is as follows [34]:

ut− εux xt+ 2kux− uux x x− αuux− βuxux x 0, (1) whereε, α, k, β are nonzero constants. By Gilson and Pickering, the Gilson–Pickering equa- tion was introduced in 1995 [58]. There are three types of special cases of the equation in the literature. Until some rescalings, these are, respectively, Eq. (1) is the Fornberg–Whitham (FW) equation forε  1, α  −1, k  0.5, β  3 [59–61], Eq. (1) is the Rosenau–Hyman (RH) equation forε  0, α  1, k  0, β  3 [62], and Eq. (1) is the Fuchssteiner—

Fokas–Camassa–Holm (CH) equation forε  1, α  −3, β  2 [63,64]. We see that the difference betweenα, β and ε values in Eq. (1) is important enough to change the name of the equation. In this study, the contributions of these constants to the solution will be discussed.

As is known, each method produces different types of solutions. Another aim of this article is to present different solutions by using different methods and to compare the methods. We will present a different perspective of the analytical solutions of the Gilson–Pickering equation with two effective and reliable methods of obtaining analytical solutions.

2 Sinh-Gordon function method (ShGFM)

For a given nonlinear partial differential equation in two variables t, x δ

u, uux, u2ut, uutt, . . .

 0, (2)

whereδ is polynomial of the function u. Consider sinh-Gordon equation [65],

uxt  γ sinh(u), (3)

where u is the unknown function of the t, x andγ ∈{0} Using wave transmutation

u U(ξ), ξ  μ(x + ct), (4)

in Eq. (3), we get the following (NLODE), U γ

2 sinh(U), (5)

(3)

where U(ξ)  U, ξ is the width, μ is the height and c is the velocity of the traveling wave.

Integrating Eq. (5), we get the following

U 2

2

 2γ 2sinh2

U 2

 + γ q

2, (6)

where q is the integration constant, resulting from integrating Eq. (5). Settingϕ  U2 and σ  2  γ q2, we get the following

ϕ√

σ cosh(ϕ). (7)

Equation (7) is a variables separable equation, simplifying it, produces the following two significant equations;

cosh(ϕ)  tan√

σ(ξ + d)

, (8)

sinh(ϕ)  sec√

σ(ξ + d)

, (9)

where d is the integration constant. In order to produce new solutions of Eq. (2), as per the operation of the ShGFM, we consider the following two solution equations.

U(ϕ) 

n i1

coshi−1(ϕ)[Bisinh(ϕ) + Aicosh(ϕ)] + A, (10)

U(ξ) 

n i1

tani−1√

σ(ξ + d)

Bisec√

σ(ξ + d)

+ Aitan√

σ(ξ + d)

+ A. (11)

The value of n Eqs. (10) and (11) are determined using the balancing technique so that the highest derivative and the highest power nonlinear term in the reduced NLODE are taken into account. Setting each sum of the coefficients of sinhi(ϕ) coshj(ϕ), (0 ≤ i ≤ n, 0 ≤ j ≤ n) with the equal to zero power yields a group of algebraic equations. Simplifying this group of algebraic equations with the help of a computer package program gives the values of the coefficients A, Ai, Bi,μ, c, d and σ into Eq. (11) along with the value of n yields the new traveling wave solutions to Eq. (2).

3 (G/G, 1/G)-expansion method

The form of NLPDEs containing two or more independent variables of which the solution will be explored by using this method is written as follows [66]

K

u, ux, ut, uy, uz, ux x, utt, . . .

 0. (12)

If u(x, t)  u  U(ξ), ξ  μ(x + ct) transmutation is used in Eq. (12) where c is the velocity of the traveling wave, Eq. (12) is converted into a NLODE and Eq. (12) can be written as:

P

U, U, U, U, . . .

 0. (13)

Equation (13) can be integrated to reduce the operational complexity. This method G(ξ)  G provides the following second-order ODE as

G(ξ) + λG(ξ)  τ. (14)

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Also, it hasφ  φ(ξ)  G

G andψ  ψ(ξ)  G(ξ)1 to provide operational esthetic. The derivatives of the functions described can be given as follows

φ −φ2+τψ − λ, ψ −φψ. (15)

We can offer the behavior of solution function Eq. (14) according to the state ofλ taking into account the equations given by Eq. (15) are:

(i) Ifλ <0,

G(ξ)  c1sinh √

−λξ

+ c2cosh √

−λξ +τ

λ, (16)

whereas c1and c2are reel numbers. By considering Eq. (16);

ψ2 −λ λ2ρ + τ2

φ2− 2τψ + λ

, ρ  c21− c22, (17) Equation (17) is written.

(ii) Ifλ >0,

G(ξ)  c1sin √ λξ

+ c2cos √ λξ

+τ

λ, (18)

here c1and c2are reel numbers. By considering Eq. (18), there is the following equation;

ψ2 λ

λ2ρ − τ2

φ2− 2τψ + λ

, ρ  c21+ c22. (19) (iii) Ifλ  0,

G(ξ)  τ

2ξ2+ c1ξ + c2, (20)

c1and c2are reel numbers. By considering Eq. (17), there is the following equation:

ψ2 1

c21− 2τc2

φ2− 2τψ

. (21)

Forψ and φ polynomials, solution of Eq. (13) is U(ξ)  a0+

n i1

(aiφi+ biψi). (22)

In this study, we rearranged the solution function in the classical (G/G, 1/G)-expansion method in the form of Eq. (22) with the logic that the solution function can be achieved with the 1/Gand the G/G-expansion methods. This logic is considered in conjunction with the classical (G/G, 1/G)-expansion method, and the method may be developed in the next studies, and different solutions can be offered.

Here, ai, bi(i  1, . . . , n) are real numbers to be identified. n is a positive equilibrium term which may be attained by comparing maximum-order derivative with the maximum- order nonlinear term in Eq. (13), when Eq. (22) is written in Eq. (13) along with Eqs. (15), (17), (19) or (21), a polynomial function related toφ and ψ is written. Each coefficient ofφiψj (i  0, 1, . . . , n) ( j  0, 1, . . . , n) terms of the attained polynomial functions are equals to zero, and there is a system of algebraic equations for ai, bi, c, τ, c1, c2, μ and λ (i  0, 1, . . . , n). The necessary coefficients are obtained solving algebraic equation with the help of computer package programs. Obtained coefficients are placed in Eq. (22) and U(ξ) solution function of the ODE given as in Eq. (13) is attained and ifξ  μ(x + ct) transmutation is employed, we will attain the exact solution u(x, t) of Eq. (12).

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4 Solution of the Gilson–Pickering equation using ShGFM

We consider Eq. (1). Using u(x, t)  U(ξ), ξ  μ(x + ct), Eq. (1) is converted into an ODE

cμU+ 2kμU− αμUU− βμ3UU− cεμ3U(3)− μ3U U(3) 0. (23) Integrating Eq. (23) with respect toξ once yields

cμU + 2kμU −1

2αμU2+1

2μ3U2−1

2βμ3U2− cεμ3U− μ3U U+ K  0, (24) where K is an integration constant, if we make the necessary arrangement and simplify with

12μ,

αU2+μ2

(−1 + β)U2+ 2cεU

− 2U

c + 2k− μ2U

+ W  0, (25)

where W −2Kμ ∈ R. In Eq. (25), we find the balance term n 2 and considering the series given in Eq. (10),

U(ϕ)  A + A1cosh[ϕ] + B1sinh[ϕ] + cosh[ϕ](A2cosh[ϕ] + B2sinh[ϕ]), (26) if the equation given by (26) is placed in Eq. (25) and the necessary arrangements are made, we can write the following equation system:

Const:− 2Ac − 4Ak + W + A2α − αB12 0,

cosh[w] : −2cA1− 4k A1+ 2 Aα A1− 2Apμ2A1− 2cpεμ2A1− 2αB1B2 0,

cosh[w]2:α A21− pμ2A21− pβμ2A21− 2cA2− 4k A2+ 2 Aα A2− 8Apμ2A2− 8cpεμ2A2+αB12

− 4pμ2B12− αB22 0,

cosh[w]3: 4 Apμ2A1+ 4cpεμ2A1+ 2α A1A2− 6pμ2A1A2− 4pβμ2A1A2+ 2αB1B2− 12pμ2B1B2

− 2pβμ2B1B2 0,

cosh[w]4: 3 pμ2A21+ pβμ2A21+ 12 Apμ2A2+ 12cpεμ2A2+α A22− 4pμ2A22− 4pβμ2A22+ 3 pμ2B12 + pβμ2B12+αB22− 8pμ2B22− 2pβμ2B22 0,

cosh[w]5: 12 pμ2A1A2+ 4 pβμ2A1A2+ 10 pμ2B1B2+ 4 pβμ2B1B2 0, cosh[w]6: 8 pμ2A22+ 4 pβμ2A22+ 7 pμ2B22+ 3 pβμ2B22 0,

sinh[w] : −2cB1− 4k B1+ 2 AαB1 0,

cosh[w] sinh[w] : 2α A1B1− 2pμ2A1B1− 2cB2− 4k B2+ 2 AαB2− 2Apμ2B2− 2cpεμ2B2 0,

cosh[w]2sinh[w] : 4Apμ2B1+ 4cpεμ2B1+ 2α A2B1− 8pμ2A2B1+ 2α A1B2− 2pμ2A1B2− 2pβμ2A1B2 0, cosh[w]3sinh[w] : 6pμ2A1B1+ 2 pβμ2A1B1+ 12 Apμ2B2+ 12cpεμ2B2+ 2α A2B2− 6pμ2A2B2

− 4pβμ2A2B2 0,

cosh[w]4sinh[w] : 12pμ2A2B1+ 4 pβμ2A2B1+ 12 pμ2A1B2+ 4 pβμ2A1B2 0, cosh[w]5sinh[w] : 16pμ2A2B2+ 8 pβμ2A2B2 0,

cosh[w] sinh[w]4: 2 pμ2B1B2 0,

cosh[w]2sinh[w]4: pμ2B22+ pβμ2B22 0. (27)

A, A1, B1, B2, W andα, p, μ, β, c, ε, k constants are attained from Eq. (27) the system with the aid of a package program.

Case 1: If A1 −

W− α A2

α , B1  −

W− α A2

α , A2 0, B2  0,

(6)

Fig. 1 3D, 2D and contour graphics of Eq. (29) for A 1, α  1, W  2, d  4, σ  1, c  2

Fig. 2 3D, 2D and contour graphics of Eq. (31) for A1 2, A  1, μ  1.1, σ  2, d  3, c  1

μ  −

α

σ, β  −3, ε  −A

c, k  1

2(−c + α A), (28)

substituting values (28) into (26), we attain trigonometric soliton solution for Eq. (1) u1(x, t)  A −

W− A2α sec

d(ct+x)σα σ

α

W− A2α tan

d(ct+x)σα σ

α .

(29) The trigonometric soliton solution of Eq. (29) produced from the ShGFM is as in Fig.1.

Case 2: If

B1 A1, A2 0, B2 0, β  −3, ε  −A c, k 1

2

−c + Apμ2

, α  pμ2, W  pμ2 A2+ A21

,

(30) substituting values (30) into (26), we attain trigonometric soliton solution for Eq. (1)

u2(x, t)  A + sec

(d + (ct + x)μ)σ

A1+ A1tan

(d + (ct + x)μ)σ

. (31) The trigonometric soliton solution of Eq. (31) produced from the ShGFM is as in Fig.2.

Case 3: If

B1 −A1, A2 0, B2 0, β  −3, ε  − A

−2k + Apμ2, c  −2k + Apμ2, α  pμ2, W  pμ2

A2+ A21

, (32)

substituting values (32) into (26), we attain trigonometric soliton solution for Eq. (1)

u3(x, t)  A − sec σ

d +μ x + t

−2k + Aμ2σ

A1+ A1tan σ

d +μ x + t

−2k + Aμ2σ

. (33)

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Fig. 3 3D, 2D and contour graphics of Eq. (33) for A1 2, A  3, μ  0.9, σ  3, d  1, k  2, t  1

Fig. 4 3D, 2D and contour graphics of the real and imaginary parts of Eq. (35) for A 2, α  0.5, W  3, d  4, σ  1, c  2

The trigonometric soliton solution of Eq. (33) produced from the ShGFM is as in Fig.3.

Case 4: If A1 −i

3 A, B1 i

3 A, A2 0, B2 0, β  −3, ε  −A

c, α  − W 2 A2, k −2Ac − W

4 A , μ  − i

W 2 A

σ, (34)

substituting values (34) into (26), we attain complex trigonometric soliton solution for Eq. (1) u4(x, t)  A + i

3 A sec



di

W(ct + x)

2 Aσ

 σ



− i 3 A tan



di

W(ct + x)

2 Aσ

 σ

 . (35) The complex trigonometric soliton solution of Eq. (35) produced from the ShGFM is as in Fig.4.

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5 Solution of the Gilson–Pickering equation using (G/G, 1/G)-expansion method Considering Eq. (25), we get balancing term n 2 and in Eq. (22), and the following situation is obtained:

U(ξ)  a0+ a1φ[ξ] + b1ψ[ξ] + a2φ[ξ]2+ b2ψ[ξ]2. (36) Equation (36) presented is different from the solution function in the classical (G/G, 1/G)- expansion method. Therefore, the solutions to be obtained here will be different from the solutions in the classical method. If we substitute Eq. (36) in Eq. (25) and the coefficients of the algebraic equation are equal to zero, we can establish the following algebraic equation systems

Const: W− 2ca0− 4ka0+αa20− λ2μ2a21+βλ2μ2a12 κ2λ2μ2a12

−μ2+λ2ρ+βκ2λ2μ2a12

−μ2+λ2ρ + 4cελ2μ2a2+4cεκ2λ2μ2a2

−μ2+λ2ρ + 4λ2μ2a0a2+4κ2λ2μ2a0a2

−μ2+λ2ρ 2cεκλ2μ2b1

−μ2+λ2ρ

2κλ2μ2a0b1

−μ2+λ2ρ 8κλ3μ2a2b1

−μ2+λ2ρ + αλ2b12

−μ2+λ2ρ+ 2λ3μ2b21

−μ2+λ2ρ 2cλ2b2

−μ2+λ2ρ

4kλ2b2

−μ2+λ2ρ+4cελ3μ2b2

−μ2+λ2ρ + 2αλ2a0b2

−μ2+λ2ρ+4λ3μ2a0b2

−μ2+λ2ρ+4λ4μ2a2b2

−μ2+λ2ρ  0,

φ[ξ] : −2ca1− 4ka1+ 4cελμ2a1+ 2αa0a1+ 4λμ2a0a1+ 4βλ2μ2a1a2+4βκ2λ2μ2a1a2

−μ2+λ2ρ

6κλ2μ2a1b1

−μ2+λ2ρ 2βκλ2μ2a1b1

−μ2+λ2ρ + 2αλ2a1b2

−μ2+λ2ρ+4λ3μ2a1b2

−μ2+λ2ρ+4βλ3μ2a1b2

−μ2+λ2ρ  0, (φ[ξ])2:αa21+ 2λμ2a12+ 2βλμ2a12 κ2λμ2a12

−μ2+λ2ρ + βκ2λμ2a12

−μ2+λ2ρ− 2ca2− 4ka2+ 16cελμ2a2 +4cεκ2λμ2a2

−μ2+λ2ρ + 2αa0a2+ 16λμ2a0a2+4κ2λμ2a0a2

−μ2+λ2ρ + 4βλ2μ2a22+4βκ2λ2μ2a22

−μ2+λ2ρ

2cεκλμ2b1

−μ2+λ2ρ 2κλμ2a0b1

−μ2+λ2ρ 26κλ2μ2a2b1

−μ2+λ2ρ 4βκλ2μ2a2b1

−μ2+λ2ρ + αλb21

−μ2+λ2ρ + 5λ2μ2b21

−μ2+λ2ρ+ βλ2μ2b12

−μ2+λ2ρ 2cλb2

−μ2+λ2ρ 4kλb2

−μ2+λ2ρ+16cελ2μ2b2

−μ2+λ2ρ + 2αλa0b2

−μ2+λ2ρ+16λ2μ2a0b2

−μ2+λ2ρ + 2αλ2a2b2

−μ2+λ2ρ+16λ3μ2a2b2

−μ2+λ2ρ +8βλ3μ2a2b2

−μ2+λ2ρ  0, (φ[ξ])3: 4cεμ2a1+ 4μ2a0a1+ 2αa1a2+ 12λμ2a1a2+ 8βλμ2a1a2+4βκ2λμ2a1a2

−μ2+λ2ρ

6κλμ2a1b1

−μ2+λ2ρ 2βκλμ2a1b1

−μ2+λ2ρ + 2αλa1b2

−μ2+λ2ρ+16λ2μ2a1b2

−μ2+λ2ρ +8βλ2μ2a1b2

−μ2+λ2ρ  0, (φ[ξ])4: 3μ2a21+βμ2a21+ 12cεμ2a2+ 12μ2a0a2+αa22+ 8λμ2a22+ 8βλμ2a22

+4βκ2λμ2a22

−μ2+λ2ρ 18κλμ2a2b1

−μ2+λ2ρ 4βκλμ2a2b1

−μ2+λ2ρ + 3λμ2b21

−μ2+λ2ρ+ βλμ2b12

−μ2+λ2ρ +12cελμ2b2

−μ2+λ2ρ +12λμ2a0b2

−μ2+λ2ρ+ 2αλa2b2

−μ2+λ2ρ+28λ2μ2a2b2

−μ2+λ2ρ +16βλ2μ2a2b2

−μ2+λ2ρ  0, (φ[ξ])5: 12μ2a1a2+ 4βμ2a1a2+12λμ2a1b2

−μ2+λ2ρ+4βλμ2a1b2

−μ2+λ2ρ  0,

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