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BY 4.0 license Open Access Published by De Gruyter November 10, 2021

New Soliton Solutions for the Higher-Dimensional Non-Local Ito Equation

  • Mustafa Inc , E. A. Az-Zo’bi , Adil Jhangeer , Hadi Rezazadeh , Muhammad Nasir Ali and Mohammed K. A. Kaabar EMAIL logo
From the journal Nonlinear Engineering

Abstract

In this article, (2+1)-dimensional Ito equation that models waves motion on shallow water surfaces is analyzed for exact analytic solutions. Two reliable techniques involving the simplest equation and modified simplest equation algorithms are utilized to find exact solutions of the considered equation involving bright solitons, singular periodic solitons, and singular bright solitons. These solutions are also described graphically while taking suitable values of free parameters. The applied algorithms are effective and convenient in handling the solution process for Ito equation that appears in many phenomena.

MSC 2010: 35C07; 35C08; 35C09

1 Introduction

Numerous complex phenomena that are encountered in mathematical physics, relativity, and economics are modeled via nonlinear differential equations [1]. There is no a single technique that can possibly solve different nonlinear evolution equations (NLEEs) kinds. Hence, several techniques have been introduced to construct exact solutions for NLEEs in the last few decades. Symbolic computational software programs can help interested researchers achieve these computational works. The obtained solutions allow scientists and engineers to understand the complex phenomena qualitative and measurable features in order to construct conclusions in an efficient way. As a result, various effective techniques have been proposed. (1/G′)-expansion algorithm [2], bifurcation method [3], Hirota bilinear approach [4], sine-cosine method [5], Adomian decomposition algorithm and its extensions [6,7,8,9], Exp-function technique [10], technique of F-expansion [11], He's variational iteration algorithm [12], inverse scattering approach [13], reduced differential transform method [14,15,16,17], new extended direct algebraic method [18], auxiliary equation method [19], first integral algorithm [20], residual power series method [21,22,23,24,25], simplest equation algorithm (SEM) [26, 27], modified simplest equation algorithm (MSEM)[28], and exp (−ϕ (ξ)) method [29], that will be presented in the coming context, are examples of some attempts to solve such equations. The fractional calculus (FC) has started to be incredibly known in a few fields of science and engineering (see [55,56,57,58,59,60,61]). For the recent development with in this field in frame of the numerical scheme in the Caputo fractional order sense can easily be understood from recent published works [43,44,45,46,47,48,49]. For more information, readers can refer to some useful resources [50,51,52,53,54, 62,63,64,65] for deep understanding and learning about different aspects of this research area..

The SEM and its expansions [30,31,32,33,34,35,36,37,38,39,40] have constructed various NLEEs’ solutions. With the help of SEM and MSEM, this article constructs novel exact solutions of

(1.1) utt+uxxxt+3(2uxut+uuxt)+3uxx(utdx)+αuyt+βuxt=0,

where the constants are denoted by α and β, and u (x, y, t) represents the waves amplitude. By making use of differential operator v = ux, Eq. (1.1) is going to be converted into the 5th-order PDE

(1.2) vxtt+vxxxxt+3(2vxxvxt+vxvxxt)+3vxxxvt+αvxyt+βvxxt=0.

The above Ito Eq. (1.2) (or equivalently Eq. (1.1) was initially established by a generalized bilinear KdV equation [41]. For α = β = 0, we have the 1-D Ito equation. Researchers have recently analyzed the (2+1)-dimensional Ito equation. Wazwaz [42] implemented tanh–coth algorithm to obtain single soliton and periodic solutions. In this article, we have investigated the (2+1)-dimensional Ito equation with two different methods involving the simplest equation and modified simplest equation for exact analytic solutions.

This article is prepared as follows: The algorithms of SEM and MSEM are presented in section 2. By applying the proposed techniques, the Logarithmic form of obtained exact solutions for Eq. (1.1) is studied in section 3. Results’ discussion including simulations of some obtained solutions is provided in section 4.

2 Mathematical Analysis

In this section, SEM and MSEM achieve the exact analytic solutions of constant-coefficients (2+1)-D PDE of the following form:

(2.1) P(v,vx,vy,vt,vxy)=0,

where P is an assumed polynomial in v = v (x, y, t) and its derivatives involving the highest derivative and the higher power of linear terms. The solution process is also valid for the time-dependent coefficients and NPDEs’ systems.

To investigate Eq. (2.1), we transform it into an ODE under the transformation:

(2.2) v(x,y,t)=v(ξ),

where ξ = x + yη t is the wave variable and η is the wave frequency. In case of time-dependent, one can use η = η (t). Under this consideration, Eq. (2.1) is reduced to be

(2.3) F(v,v,v,)=0,

where v'=dv , v=d2vdξ2 , v=d3vdξ3 , …. By integrating Eq. (2.3) several times as possible as we can and setting the integration's constants to 0. The transformed equation is reduced and kept the solution process very simple.

From the above schemes, positive integer m is determined by balancing the highest order derivative and the nonlinear term of the highest order in the completely integrated form of Eq. (2.3). As a result, each method's solution process is discussed.

2.1 The Method of Simplest Equation

The Eq. (2.3) solution via the SEM [26, 27] is expressed as:

(2.4) v(ξ)=i=0mAiϕi(ξ),Am0,

where Ai (i = 0, 1, …, m) are parameters to be found later. ϕ (ξ) is the function that with the help of by the simplest equation can satisfy an ODE. The simplest equations in this article are the 1st order ODEs including the Bernoulli equation and Riccati equation. In the Bernoulli equation case, we have:

(2.5) ϕ(ξ)=λϕ(ξ)+μϕ2(ξ).

The solution function ϕ (ξ) is expressed as:

  1. If λ = 0, we have the rational form:

    (2.6) ϕ(ξ)=1μ(ξ0ξ).
  2. If λ > 0 and μ < 0, we have the rational-exponential form:

    (2.7) ϕ(ξ)=λe(λ(ξ+ξ0))1μe(λ(ξ+ξ0)).
  3. If λ < 0 and μ > 0, we have the rational-exponential form:

    (2.8) ϕ(ξ)=λe(λ(ξ+ξ0))1+μe(λ(ξ+ξ0)).

    Whereas in the case Riccati equation

    (2.9) ϕ(ξ)=λϕ2(ξ)+μ,

    and the solutions of Eq. (2.9) can be expressed in the following forms:

  1. If λ μ < 0, we have the hyperbolic form:

    (2.10) ϕ(ξ)=λμλtanh(λμξεlnξ02),ε=±1,

    or,

    (2.11) ϕ(ξ)=λμλcoth(λμξεlnξ02).
  2. If λ μ > 0, we have the periodic form:

    (2.12) ϕ(ξ)=λμλtan(λμξ+ξ0),

    or,

    (2.13) ϕ(ξ)=λμλcot(λμξ+ξ0),

    where ξ0 is an integration constant.

From the Bernoulli equation given in Eq. (2.5), by the substitution of Eq. (2.4) into Eq. (2.3) and equating each coefficient with the same power in the constructed polynomial of ϕ (ξ) to 0, an algebraic equations’ system in the variables μ, λ and the Ai's is constructed. This system is solved and substituted the determined values of μ, λ and the Ai's, associated with the Eq. (2.5) general solutions into Eq. (2.4). Then, the exact solution is obtained in a traveling-wave form for Eq. (2.1). By similarly doing this process again by the replacement of Eq. (2.5) by Eq. (2.9), new solutions’ classes can be obtained. The scheme of the simplest equation is applicable at the same time that the obtained system is solved in the undetermined parameters.

2.2 Modified Simple Equation Method

The MSEM [28] considers the Eq. (2.1) solution as follows:

(2.14) v(ξ)=i=0mAi(ϕ(ξ)ϕ(ξ))i,Am0,

where Ai (i = 0, 1, …, m) are parameters to be determined later. Positive integer m is found by the homogeneous balance principle. ϕ (ξ) is an unspecified function to be determined later. Once Eq. (2.14) is substituted into Eq. (2.3), an algebraic equations’ system, which can be an algebraic-differential system, is resulted. When the constructed system's numerator is forced to be vanished and substituted our results into Eq. (2.14), the exact solution is determined for the studied problem.

3 The Ito Equations’ Applications

The (2+1)-D non-local Ito equation is investigated via the Kudryashov SEM, which was discussed in the previous section. With the application of the transformation given in Eq. (2.2), Eq. (1.2) will be carried into the following ODE form:

(3.1) (ηαβ)v(3)v(5)6((v)2+vv(3))=0.

In further compact form, Eq. (3.1) can be expressed as:

(3.2) (ηαβ)v(3)v(5)3((v)2)=0.

By the twice integrartion Eq. (3.2) w.r.t ξ and let the integration's constants to be 0, we have:

(3.3) (ηαβ)vv(3)3(v)2=0.

Let w (ξ) = v′(ξ) to get:

(3.4) (ηαβ)ww3w2=0.

The balance is made between w″ and w2 in Eq. (3.4) which m = 2 is obtained.

3.1 Application of SEM

As a result, Eq. (3.5) has a solution as:

(3.5) w(ξ)=A0+A1ϕ(ξ)+A2ϕ(ξ)2.

By the substitution of Eq. (3.5) into Eq. (3.4), and from the Bernoulli Eq. (2.5), as well as, let us set up the coefficients of ϕi, i = 0, 1, …, 4, to be zero, the following system is constructed in terms of A0, A1, A2, λ, μ and η:

(3.6) A0(3A0+α+βη)=0,

(3.7) A1(6A0+α+βη+λ2)=0,

(3.8) 3A1(A1+λμ)A2(6A0+α+βη+4λ2)=0,

(3.9) 2(3A1A2+5λμA2+μ2A1)=0,

(3.10) 3A2(A2+2μ2)=0.

Solving Eq. (3.6) and Eq. (3.10) implies

A0=0,13(ηαβ)andA2=2μ2,

where μ is a nonzero constant. As a result, the exact traveling wave solutions of Ito Eq. (1.1) is constructed as:

Case 1. If A0 = 0, η = α + β, and λ = 0, we get A1 = 0 and

(3.11) u01(x,y,t)=2ln(ξ0ξ).

Case 2. If A0 = 0, η = α + β + λ2, and λ ≠ 0, we get A1 = −2 λ μ and

(3.12) u02(x,y,t)=2(λxln(1μeλξ+ξ0)),forλ>0andμ<0.

(3.13) u03(x,y,t)=2(λxln(1+μeλξ+ξ0)),forλ<0andμ>0.

Case 3. If A0=13(ηαβ) , η = α + βλ2, λ > 0, μ < 0 and A1 = −2 λ μ, we get

(3.14) u04(x,y,t)=λ23x(x26λξ)+2ln(1μeλξ+ξ0),forλ>0andμ<0.

(3.15) u05(x,y,t)=λ23x(x26λξ)+2ln(1+μeλξ+ξ0),forλ<0andμ>0.

As in the Bernoulli equation case, by using the Riccati equation provided in Eq. (2.9), we obtain:

(3.16) 3A02+A0(α+βη)+2μ2A2=0,

(3.17) A1(6A0+α+βη+2λμ)=0,

(3.18) 3A12+A2(6A0+α+βη+8λμ)=0,

(3.19) 2A1(3A2+λ2)=0,

(3.20) 3A2(A2+2λ2)=0.

Eliminating the trivial solution, Eq. (3.16) and Eqs. (2.2)–(3.20) imply that A2 = −2 λ2, A1 = 0, A0=16(α+βη+8λμ) and the following cases:

Case 4. If η = α + β − 4 λ μ, and λ μ < 0, we get:

(3.21) u06(x,y,t)=2ln(cosh(λμξ)εln(ξ0)2).

Or,

(3.22) u07(x,y,t)=2ln(sinh(λμξ)εln(ξ0)2).

Case 5. If η = α + β + 4 λ μ, and λ μ < 0, we get:

(3.23) u08(x,y,t)=λμεln(ξ0)x+23λμx(2ξx)+2ln(cosh(λμξ)±εln(ξ0)2).

Or,

(3.24) u09(x,y,t)=λμεln(ξ0)x+23λμx(2ξx)+2ln(sinh(λμξ)±εln(ξ0)2).

Case 6. If η = α + β − 4 λ μ, and λ μ > 0, we get

(3.25) u10(x,y,t)=2ln(cos(λμξ)+ξ0).

Or,

(3.26) u11(x,y,t)=2ln(sin(λμξ)+ξ0).

Case 7. If η = α + β + 4 λ μ, and λ μ > 0, we get:

(3.27) u12(x,y,t)=2λμξ0x+23λμx(2ξx)+2ln(cos(λμξ)+ξ0).

Or,

(3.28) u13(x,y,t)=2λμξ0x+23λμx(2ξx)+2ln(sin(λμξ)+ξ0).

3.2 Application of MSEM

The MSEM is applied for Eq. (1.2) with m = 2, Eq. (3.4) constructs a solution in the form:

(3.29) w(ξ)=A0+A1ϕ(ξ)ϕ(ξ)+A2(ϕ(ξ)ϕ(ξ))2,A20.

It is simple to find that

(3.30) w(ξ)=A1(ϕϕ(ϕϕ)2)+2A2(ϕϕϕ2(ϕϕ)3),

(3.31) w(ξ)=A1(ϕϕ3ϕϕϕ2+2(ϕϕ)3)+2A2(2ϕ2+ϕϕϕ25ϕ2ϕϕ3+3(ϕϕ)4).

Substituting Eqs. (3.30)–(3.31) into Eq. (3.4) and the coefficients of ϕi (i = 0, …, 4) are equated to be vanished which imply the following:

(3.32) A0(3A0+α+βη)=0,

(3.33) 3A2(2+A2)ϕ(ξ)4=0,

(3.34) 2(A1ϕ(ξ)(1+3A2)5ϕ(ξ))ϕ(ξ)2=0,

(3.35) A1(ϕ(ξ)(6A0+α+βη)+ϕ(ξ))=0,

(3.36) 2A2ϕ2(3A1ϕ2A2ϕ)ϕ+(3A12+A2(6A0+α+βη))ϕ2=0.

Solving Eq.(3.33), with A2 ≠ 0 and ϕ′ (ξ) ≠ 0 to avoid trivial solution, gives that A2 = −2. Accordingly, Eq.(1.1) exact travelling wave solutions are constructed as:

Case 1. If A0 = 0, ϕ(ξ)=2eA1ξ2A1C1+C2 , and η=14(A12+4α+4β) , we get

(3.37) u14(x,y,t)=A1x+2ln(2C1e12A1ξ+C2A1).

Case 2. If A0=13(ηαβ) , ϕ(ξ)=2eA1ξ2A1C1+C2 , and η=14(A12+4α+4β) , we get

(3.38) u15(x,y,t)=A1x(A112(x2ξ)1)+2ln(2C1e12A1ξ+C2A1),

where C1 and C2 are arbitrary constants. A1 is nonzero arbitrary constant.

4 Discussion and Conclusion

Three classes of traveling-wave solutions for the nonlocal (2+1) Ito equation have been explored via the SEM and MSEM. Using SEM along using of Bernoulli equation produced bright solitons provided in Eqs. (3.11)(3.15). Similarly, with the Riccati equation, bright solitons are obtained in Eqs. (3.21)–(3.24) which include- these ones in Bernoulli equation case, singular periodic solitons in Eq. (3.25) and Eq. (3.26), and singular bright solitons in Eqs. (3.27)–(3.28) are obtained. The output of MSEM in the form of bright soliton shapes coincides with SEM associated with the Bernoulli equation via a special choice of parameters. In Figure 1, the 3-D profiles of solutions in Eq. (3.14) are shown. The singular periodic solitons given in Eq. (3.25) are plotted in Figure 2. Also, some of the solutions obtained are shown in Figures 1–7. The constructed solutions are new and have not been obtained before in any research work. The wave solutions are tested by substituting them into the fundamental equations. According to the free parameters’ choice in the constructed solutions, various physical structures can result. Since solving NODEs is complicated, particularly the ones that are appeared from the MSEM, Eqs. (3.35)–(3.36), the SEM is more effective in processing the considered Ito equation reported in Eq. (1.1). The proposed techniques can be applied to various related NPDEs via Mathematica symbolic computation package 11. The considered can be investigated by using different definitions of fractional derivatives. Also, solitonic, super nonlinear, periodic, quasi-periodic, and chaotic waves can be done in future works.

Figure 1 (a) 2D plot for u2. (b) 3D plot for u2(x, y), when t = 0.
Figure 1

(a) 2D plot for u2. (b) 3D plot for u2(x, y), when t = 0.

Figure 2 (a) 2D plot for u3. (b) 3D plot for u3(x, y), when t = 0.
Figure 2

(a) 2D plot for u3. (b) 3D plot for u3(x, y), when t = 0.

Figure 3 (a) 2D plot for u4. (b) 3D plot for u4(x, y), when t = 0.
Figure 3

(a) 2D plot for u4. (b) 3D plot for u4(x, y), when t = 0.

Figure 4 (a) 2D plot for u6. (b) 3D plot for u6(x, y), when t = 0.
Figure 4

(a) 2D plot for u6. (b) 3D plot for u6(x, y), when t = 0.

Figure 5 (a) 2D plot for u10. (b) 3D plot for u10(x, y), when t = 0.
Figure 5

(a) 2D plot for u10. (b) 3D plot for u10(x, y), when t = 0.

Figure 6 (a) 2D plot for u11. (b) 3D plot for u11(x, y), when t = 0.
Figure 6

(a) 2D plot for u11. (b) 3D plot for u11(x, y), when t = 0.

Figure 7 (a) 2D plot for u10. (b) 3D plot for u10(x, y), when t = 0.
Figure 7

(a) 2D plot for u10. (b) 3D plot for u10(x, y), when t = 0.

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Received: 2021-07-03
Accepted: 2021-09-28
Published Online: 2021-11-10

© 2021 Mustafa Inc et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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