Home Technology Traveling wave solutions of the generalized scale-invariant analog of the KdV equation by tanh–coth method
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Traveling wave solutions of the generalized scale-invariant analog of the KdV equation by tanh–coth method

  • Oswaldo González-Gaxiola EMAIL logo and Juan Ruiz de Chávez
Published/Copyright: October 3, 2023
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Abstract

In this work, the generalized scale-invariant analog of the Korteweg–de Vries equation is studied. For the first time, the tanh–coth methodology is used to find traveling wave solutions for this nonlinear equation. The considered generalized equation is a connection between the well-known Korteweg–de Vries (KdV) equation and the recently investigated scale-invariant of the dependent variable (SIdV) equation. The obtained results show many families of solutions for the model, indicating that this equation also shares bell-shaped solutions with KdV and SIdV, as previously documented by other researchers. Finally, by executing the symbolic computation, we demonstrate that the used technique is a valuable and effective mathematical tool that can be used to solve problems that arise in the cross-disciplinary nonlinear sciences.

MSC 2010: 35C05; 35C07; 35Q53; 68W30

1 Introduction

Many fields of science and engineering depend heavily on the mathematical models presented by nonlinear partial differential equations (NPDEs) to explain complex phenomena. These fields include electromagnetic wave theory, ocean dynamics, plasma physics, fluid mechanics, field theory, nonlinear optical fibers, nuclear physics, ion acoustic waves, biological process engineering, chemical kinetics, climatological phenomena, and several other mathematical physics problems. In 1895, Dutch mathematicians D. J. Korteweg and G. de Vries developed the Korteweg–de Vries (KdV) equation in a formal manner, and the KdV equation is an NPDE that models the propagation of long waves on shallow water, and this simultaneously includes weak advective nonlinearity and dispersion effects given by Korteweg et al. [1]

(1) u t + 6 u u x + u x x x = 0 ,

where u is the perturbation wave function that depends on the spatial variable x and time t . It is well known that Eq. (1) has bell-shaped solutions of the type:

(2) u ( x , t ) = c 2 sech 2 c 2 ( x c t ) ,

where c is the velocity of the wavefront [2].

Despite its antiquity, the KdV equation is still an active area of study and research, with several articles published on the topic in recent years. For instance, Sen et al. [3] investigated the KdV equation and derived generalizations using a one-parametric family of advective velocities. Triki et al. [4] studied the KdV equation of the fifth order with free coefficients. The KdV equation’s border control problem is examined in detail the study by Liang et al. [5]. A novel integrable nonlocal-modified KdV equation is discussed in the study by Wazwaz [6]. Several extensions and adaptations of the KdV equation are analyzed by Wazwaz [7]. For a nonholonomic modification of the KdV equation, Mirzazadeh et al. [8] obtained 1-solitons. An algebraic approach is used to investigate an extension of the KdV equation in the study by Gonzalez-Gaxiola et al. [9]. Exact solutions for the KdV equation with a source term are found in previous studies [10,11]; a generalized KdV equation with time-dependent attenuation and dispersion is explored in the study by Biswas [12]; novel studies on the KdV equation and some generalizations taking into account different physical effects as well as fractional derivatives can be found in previous studies [1321]; and these are just a few examples.

Among the numerous studies associated with the KdV equation that have been published in the last few decades, several studies propose to generalize and/or modify the KdV equation. In 2012, for instance, Sen et al. [3] presented the modified KdV equation:

(3) u t + 2 u x x u u x = u x x x .

Eq. (3) is invariant under scaling of the dependent variable; and is therefore referred to as SIdV; here, Eq. (3) was discovered by surprise using computer approaches when researchers explored equations with bell-shaped solutions analogous to the KdV equation. Other studies on Eq. (3) have been published and can be found in previous studies [2224].

In this article, we will consider the generalized scale-invariant analog of the Korteweg–de Vries (gsiaKdV) equation [25], which is an NPDE and whose dimensionless form is given by,

(4) u t + 3 ( 1 α ) u + ( 1 + α ) u x x u u x = γ u x x x ,

where u x x x is a dispersion term, while the term ( 3 ( 1 α ) u + ( 1 + α ) u x x u ) can be seen as an advecting velocity. First, let us observe that, if α = 1 and γ = 1 , then Eq. (4) reduces to the well-known KdV Eq. (1). Second, we can observe that if α = 1 and γ = 1 then Eq. (4) reduces to SIdV Eq. (3).

Eq. (4) was investigated in the study by Fan et al. [26], and the authors demonstrated the existence of traveling waves of the bell and valley types. Using the tanh–coth method for the first time, the main objective of this research is to find new traveling wave-type solutions for Eq. (4) with α ± 1 and γ 0 .

In virtue of the significance of the previously described gsiaKdV equation, we will conduct a study to obtain solutions of the traveling wave type for the first time using the tanh–coth technique. In addition, some 3D and 2D propagation profiles for the derived solutions will be discussed by selecting various parameters that describe the solution sets achieved by the used strategy.

The structure of the article is the following. We present an overview of the methods used in Section 2. In Section 3, we use the proposed method to find multiple families of gsiaKdV equation solutions. Section 4 displays a graphical representation of some of the solutions generated for various parameter values. The graphical results and some KdV equation variants are briefly discussed in Section 5. Finally, in Section 6, we summarize our findings and present our final conclusions.

2 Brief description of the tanh–coth method

The tanh–coth method originally established in previous studies [27,28] provides a very useful methodology for finding traveling wave-type solutions of NPDE. We will explain how to implement the method in the rest of this section.

(I) Consider the general nonlinear partial differential equation given by:

(5) G ( u , u t , u x , u x x , u x x x , ) = 0 .

Using traveling wave variable change u ( x , t ) = u ( ξ ) with ξ = c ( x ω t ) , Eq. (5) becomes the ordinary differential equation:

(6) F ( u , ω u ξ , c u ξ , c 2 u ξ ξ , c 3 u ξ ξ ξ , ) = 0 .

(II) The tanh–coth method provides the solutions for Eq. (6) as the finite sum:

(7) u ( ξ ) = S ( Y ) = i = 0 M a i Y i ( ξ ) + i = 1 M b i Y i ( ξ ) ,

where the coefficients a i and b i are constants to be determined and Y is a new dependent variable introduced by the method and is given by:

(8) Y = tanh ( ξ ) .

The introduction of this new dependent variable implies that:

u ξ = ( 1 Y 2 ) d S d Y ,

(9) u ξ ξ = 2 Y ( 1 Y 2 ) d S d Y + ( 1 Y 2 ) 2 d 2 S d Y 2 ,

u ξ ξ ξ = 2 ( 1 Y 2 ) ( 3 Y 2 1 ) d S d Y 6 Y ( 1 Y 2 ) 2 d 2 S d Y 2 + ( 1 Y 2 ) 3 d 3 S d Y 3 .

The subsequent derivatives can be computed in a similar way.

(III) To determine the upper limit M of the sum in Eq. (7), the linear terms of highest order in the resulting equation with the highest order nonlinear terms are balanced.

(IV) We consider u ( ξ ) given in Eq. (7) and the necessary derivatives u ξ , u ξ ξ , u ξ ξ ξ , , which can be calculated as in Eq. (9), to substitute in the ordinary differential Eq. (6) and thus, we will obtain the polynomial equation:

(10) P [ Y ] = 0 .

(V) We select all the terms that have the same algebraic power of Y from the polynomial Eq. (10), we set them equal to zero and obtain a nonlinear system of algebraic equations with the set of unknown parameters { a 0 , , a M , b 1 , , b M , c , ω } . Using software such as Mathematica, we can execute symbolic calculations to solve the algebraic equations with the natural restrictions of the mathematical model.

(VI) Finally, having obtained the coefficients { a 0 , , a M , b 1 , , b M , c , ω } and considering the equality (7), one can obtain the exact solutions to Eq. (5).

3 Utilization of the tanh–coth methodology

The traveling wave transform of Eq. (4) is assumed to be of the form u ( x , t ) = U ( ξ ) , where ξ = c ( x ω t ) . We calculate using the well-known chain rule:

(11) u t = c ω U ξ , u x = c U ξ , u x x = c 2 U ξ ξ , and u x x x = c 3 U ξ ξ ξ .

Substituting directly into Eq. (4), we achieve the nonlinear ordinary differential equation:

(12) c ω U U ξ + 3 c ( 1 α ) U 2 U ξ + c 3 ( 1 + α ) U ξ U ξ ξ γ c 3 U U ξ ξ ξ = 0 .

Integrating once with respect to ξ and considering the constants of integration as null, we obtain

(13) c ω U 2 + 2 c ( 1 α ) U 3 + c 3 ( 1 + α + γ ) U ξ 2 2 γ c 3 U U ξ ξ = 0 .

Then, using the characteristic variable change of the method, i.e., Y = tanh ( ξ ) and considering Eq. (7), the last differential equation is rewritten as:

(14) ω c S 2 + 2 c ( 1 α ) S 3 + c 3 ( 1 + α + γ ) ( 1 Y 2 ) 2 d S d Y 2 2 γ c 3 S ( 1 Y 2 ) 2 d 2 S d Y 2 2 Y ( 1 Y 2 ) d S d Y = 0 .

Balancing S 3 with S d 2 S d Y 2 gives M = 2 . Consequently, the tanh–coth technique enables the use of the finite sum:

(15) u ( x , t ) = U ( ξ ) = a 0 + a 1 Y + a 2 Y 2 + b 1 Y 1 + b 2 Y 2 .

Substituting Eq. (15) with their respective derivatives into Eq. (14) and collecting all terms with equal power of Y , after some algebraic simplification, we obtain the following nonlinear system of algebraic equations:

12 a 1 b 1 γ c 3 + 4 a 0 b 2 γ c 3 + 48 a 2 b 2 γ c 3 + 4 a 1 b 1 c 3 α + 16 a 2 b 2 c 3 α + 4 a 1 b 1 c 3 + 16 a 2 b 2 c 3 6 a 2 b 1 2 c α 12 a 0 a 1 b 1 c α 6 a 1 2 b 2 c α 12 a 0 a 2 b 2 c α 2 a 1 b 1 c ω 2 a 2 b 2 c ω + 6 a 2 b 1 2 c + 12 a 0 a 1 b 1 c + 6 a 1 2 b 2 c + 12 a 0 a 2 b 2 c + a 1 2 γ c 3 4 a 0 a 2 γ c 3 + a 1 2 c 3 α + a 1 2 c 3 2 a 0 3 c α a 0 2 c ω + 2 a 0 3 c + 5 b 1 2 γ c 3 8 b 2 2 γ c 3 + b 1 2 c 3 α + b 1 2 c 3 = 0 ,

7 a 1 2 γ c 3 + 8 a 2 2 γ c 3 20 a 0 a 2 γ c 3 + a 1 2 c 3 α 8 a 2 2 c 3 α + a 1 2 c 3 8 a 2 2 c 3 6 a 0 a 2 2 c α 6 a 1 2 a 2 c α a 2 2 c ω + 6 a 0 a 2 2 c + 6 a 1 2 a 2 c = 0 ,

4 a 1 2 γ c 3 16 a 2 2 γ c 3 + 8 a 0 a 2 γ c 3 + 4 a 2 2 c 3 α + 4 a 2 2 c 3 2 a 2 3 c α + 2 a 2 3 γ = 0 ,

4 a 2 b 1 γ α + 4 a 0 a 1 γ c 3 24 a 1 a 2 γ c 3 + 4 a 1 a 2 c 3 α + 4 a 1 a 2 c 3 6 a 1 a 2 2 c α + 6 a 1 a 2 2 ω = 0 ,

4 a 0 b 1 γ c 3 20 a 2 b 1 γ c 3 4 a 1 b 2 γ c 3 4 a 2 b 1 c 3 α 4 a 2 b 1 c 3 6 a 2 2 b 1 c α + 6 a 2 2 b 1 c 8 a 0 a 1 γ c 3 + 12 a 1 a 2 γ c 3 8 a 1 a 2 c 3 α 8 a 1 a 2 c 3 2 a 1 3 c α 12 a 0 a 1 a 2 c α 2 a 1 a 2 c ω + 2 a 1 3 c + 12 a 0 a 1 a 2 c = 0 ,

6 a 1 b 1 γ c 3 8 a 0 b 2 γ c 3 24 a 2 b 2 γ c 3 2 a 1 b 1 c 3 α 8 a 2 b 2 c 3 α 2 a 1 b 1 c 3 8 a 2 b 2 c 3 12 a 1 a 2 b 1 c α 6 a 2 2 b 2 c α + 12 a 1 a 2 b 1 c + 6 a 2 2 b 2 c + 2 a 1 2 γ c 3 + 16 a 0 a 2 γ c 3 2 a 1 2 c 3 α + 4 a 2 2 c 3 α 2 a 1 2 c 3 + 4 a 2 2 c 3 6 a 0 a 1 2 c α 6 a 0 2 a 2 c α a 1 2 c ω 2 a 0 a 2 c ω + 6 a 0 a 1 2 c + 6 a 0 2 a 2 c 4 b 1 2 γ c 3 = 0 ,

4 a 0 b 1 γ c 3 + 28 a 2 b 1 γ c 3 8 a 1 b 2 γ c 3 + 8 a 2 b 1 c 3 α 4 a 1 b 2 c 3 α + 8 a 2 b 1 c 3 4 a 1 b 2 c 3 6 a 1 2 b 1 c α 12 a 0 a 2 b 1 c α 12 a 1 a 2 b 2 c α 2 a 2 b 1 c ω + 6 a 1 2 b 1 c + 12 a 0 a 2 b 1 c + 12 a 1 a 2 b 2 c + 4 a 0 a 1 γ c 3 + 4 a 1 a 2 c 3 α + 4 a 1 a 2 c 3 6 a 0 2 a 1 c α 2 a 0 a 1 c ω + 6 a 0 2 a 1 c 12 b 1 b 2 γ c 3 = 0 ,

4 a 0 b 1 γ c 3 12 a 2 b 1 γ c 3 + 28 a 1 b 2 γ c 3 4 a 2 b 1 c 3 α + 8 a 1 b 2 c 3 α 4 a 2 b 1 c 3 + 8 a 1 b 2 c 3 6 a 1 b 1 2 c α 6 a 0 2 b 1 c α 12 a 0 a 1 b 2 c α 12 a 2 b 1 b 2 c α 2 a 0 b 1 c ω 2 a 1 b 2 c ω + 6 a 1 b 1 2 c + 6 a 0 2 b 1 c + 12 a 0 a 1 b 2 c + 12 a 2 b 1 b 2 c + 12 b 1 b 2 γ c 3 + 4 b 1 b 2 c 3 α + 4 b 1 b 2 c 3 = 0 ,

12 a 0 b 2 γ c 3 6 a 0 b 2 2 c α + 6 a 0 b 2 2 c 3 b 1 2 γ c 3 + 8 b 2 2 γ c 3 + b 1 2 c 3 α 8 b 2 2 c 3 α + b 1 2 c 3 8 b 2 2 c 3 6 b 1 2 b 2 c α b 2 2 c ω + 6 b 1 2 b 2 c = 0 ,

4 a 0 b 1 γ c 3 16 a 1 b 2 γ c 3 4 a 1 b 2 c 3 α 4 a 1 b 2 c 3 6 a 1 b 2 2 c α 12 a 0 b 1 b 2 c α + 6 a 1 b 2 2 c + 12 a 0 b 1 b 2 c + 12 b 1 b 2 γ c 3 8 b 1 b 2 c 3 α 8 b 1 b 2 c 3 2 b 1 3 c α 2 b 1 b 2 c ω + 2 b 1 3 c = 0 ,

6 a 1 b 1 γ c 3 + 16 a 0 b 2 γ c 3 24 a 2 b 2 γ c 3 2 a 1 b 1 c 3 α 8 a 2 b 2 c 3 α 2 a 1 b 1 c 3 8 a 2 b 2 c 3 6 a 0 b 1 2 c α 6 a 2 b 2 2 c α 6 a 0 2 b 2 c α 12 a 1 b 1 b 2 c α 2 a 0 b 2 c ω + 6 a 0 b 1 2 c + 6 a 2 b 2 2 c + 6 a 0 2 b 2 c + 12 a 1 b 1 b 2 c + 2 b 1 2 γ c 3 + 8 b 2 2 γ c 3 2 b 1 2 c 3 α + 4 b 2 2 c 3 α 2 b 1 2 c 3 + 4 b 2 2 c 3 b 1 2 c ω = 0 ,

12 b 1 b 2 γ c 3 + 4 a 1 b 1 b 2 c 3 α + 4 b 1 b 2 c 3 6 ω b 1 b 2 2 α + 6 a 0 b 1 b 2 2 c = 0 ,

8 b 2 2 γ c 3 + 4 a 0 a 1 γ ω + 4 b 2 2 c 3 α + 4 a 2 b 2 2 c 3 2 b 2 3 c α + 2 b 2 3 c = 0 .

Using the well-known Mathematica software to solve the aforementioned system, we find the following families of solutions:

Family 1: For α 1 and c 0 :

a 0 = a 0 , a 1 = 0 , a 2 = a 2 , b 1 = 0 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , and ω 0 .

Substituting the obtained parameters into the general solution (15), we obtain the following family of solutions:

(16) u 1 ( x , t ) = a 0 + a 2 tanh 2 ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 2: For α ± 1 and c 0 :

a 0 = 0 , a 1 = a 1 , a 2 = 2 c 2 ( 4 γ 2 α 2 2 α 1 ) 5 ( α 2 1 ) , b 1 = 0 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , and ω 0 .

Therefore, proceeding as in the previous case, the set of solutions for this family is provided by:

(17) u 2 ( x , t ) = a 1 tanh ( c x ω t ) 2 c 2 ( 4 γ 2 α 2 2 α 1 ) 5 ( α 2 1 ) tanh 2 ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 3: For α 1 and c 0 :

a 0 = a 0 0 , a 1 = a 1 , a 2 = 3 2 a 1 , b 1 = 0 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 ,

ω = 8 a 0 γ c 2 α 8 a 0 γ c 2 + 6 a 0 2 α 16 γ 2 c 4 + 4 c 4 α 2 + 4 c 4 a 0 ( α 1 ) .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(18) u 3 ( x , t ) = a 0 + a 1 tanh ( c x ω t ) + 3 2 a 1 tanh 2 ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 4: For α ± 1 and c 0 :

a 0 = a 0 , a 1 = a 1 , a 2 = 3 4 a 1 , b 1 = 0 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , and ω = 3 γ c 2 3 ( α + 1 ) 7 γ α 2 1 .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(19) u 4 ( x , t ) = a 0 + a 1 tanh ( c x ω t ) + 3 2 a 1 tanh 2 ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 5: For α ± 1 and c 0 :

a 0 = a 0 , a 1 = a 1 , a 2 = 16 γ c 2 α 2 16 a 0 γ c 2 8 a 0 c 2 α 3 8 a 0 c 2 α 2 + 8 a 0 c 2 α + 8 a 0 c 2 3 a 0 2 α 3 10 c 2 ( α 2 1 ) , b 1 = 0 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , ω = γ 2 ( a 0 3 4 a 1 γ c 2 2 c 2 ) 1 α 2 .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(20) u 5 ( x , t ) = 16 γ c 2 α 2 16 a 0 γ c 2 8 a 0 c 2 α 3 8 a 0 c 2 α 2 + 8 a 0 c 2 α + 8 a 0 c 2 3 a 0 2 α 3 10 c 2 ( α 2 1 ) ( 2 γ α 1 ) tanh 2 ( c x ω t ) + a 0 + a 1 tanh ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 6: For α ± 1 , c 0 , and 2 γ α 1 0 :

a 0 = a 0 , a 1 = 20 a 0 γ c 2 ( α 1 ) ( 2 γ α 1 ) + b 1 2 ( α 1 ) 2 16 c 4 ( 2 γ α 1 ) 2 , a 2 = a 2 , b 1 = b 1 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , ω = b 1 2 ( a 0 γ 3 ( α + 1 ) ) 4 c 2 ( α 2 1 ) 2 + 8 c 2 ( γ α 1 ) .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(21) u 6 ( x , t ) = a 0 + 20 a 0 γ c 2 ( α 1 ) ( 2 γ α 1 ) + b 1 2 ( α 1 ) 2 16 c 4 ( 2 γ α 1 ) 2 × tanh ( c x ω t ) + a 2 tanh 2 ( c x ω t ) + b 1 coth ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 7: For α 1 and c 0 :

a 0 = a 0 , a 1 = a 1 , a 2 = 3 2 a 1 , b 1 = 0 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , ω = ( a 0 a 2 + 3 γ 2 α 2 ) .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(22) u 7 ( x , t ) = a 0 + a 1 tanh ( c x ω t ) + 3 2 a 1 tanh 2 ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 8: For α 1 , c 0 , and 3 γ + 1 0 :

a 0 = a 0 , a 1 = a 1 , a 2 = 3 ( c γ 2 α + 3 ) 2 c 2 ( α + 1 ) ( 3 γ + 1 ) , b 1 = b 1 , b 2 = 0 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(23) u 8 ( x , t ) = a 0 + a 1 tanh ( c x ω t ) 3 ( c γ 2 α + 3 ) 2 c 2 ( α + 1 ) ( 3 γ + 1 ) × tanh 2 ( c x ω t ) + b 1 coth ( c x ω t ) .

Family 9: For α 1 , c 0 , and γ 0 :

a 0 = 8 a 2 2 c 2 γ 2 a 1 2 c 2 γ 2 a 2 2 c 2 α 2 a 2 2 c 2 + a 2 3 α a 2 3 4 a 2 c 2 γ , a 1 = a 1 , a 2 = a 2 0 , b 1 = b 1 , b 2 = 2 c 2 ( 3 γ α 1 ) 3 ( α 1 ) , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(24) u 9 ( x , t ) = 8 a 2 2 c 2 γ 2 a 1 2 c 2 γ 2 a 2 2 c 2 α 2 a 2 2 c 2 + a 2 3 α a 2 3 4 a 2 c 2 γ + a 1 tanh ( c x ω t ) + a 2 tanh 2 ( c x ω t ) + b 1 coth ( c x ω t ) 2 c 2 ( 3 γ α 1 ) 3 ( α 1 ) coth 2 ( c x ω t ) .

Family 10: For α 1 , c 0 , and 12 γ 5 α 5 0 :

a 0 = a 0 , a 1 = a 1 , a 2 = 2 c 2 ( 4 γ 2 α 2 2 α 1 ) ( α 1 ) ( 12 γ 5 α 5 ) , b 1 = 0 , b 2 = 2 c 2 a 1 ( 2 γ α 1 ) α 1 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(25) u 10 ( x , t ) = a 0 + a 1 tanh ( c x ω t ) 2 c 2 ( 4 γ 2 α 2 2 α 1 ) ( α 1 ) ( 12 γ 5 α 5 ) × tanh 2 ( c x ω t ) 2 c 2 a 1 ( 2 γ α 1 ) α 1 × coth 2 ( c x ω t ) .

Family 11: For α 1 , c 0 , and γ 0 :

a 0 = a 2 ( a 2 α a 2 + 8 γ c 2 2 c 2 α 2 c 2 ) 4 c 2 γ , a 1 = 0 , a 2 = a 2 , b 1 = 0 , b 2 = 2 c 2 ( 3 γ α 1 ) 3 ( α 1 ) , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(26) u 11 ( x , t ) = a 2 ( a 2 α a 2 + 8 γ c 2 2 c 2 α 2 c 2 ) 4 c 2 γ + a 2 tanh 2 ( c x ω t ) 2 c 2 ( 3 γ α 1 ) 3 ( α 1 ) × coth 2 ( c x ω t ) .

Family 12: For α 1 , c 0 , and γ 0 :

a 0 = b 1 2 b 1 2 α 2 c 2 γ , a 1 = 2 a 2 c 2 ( 4 γ α 1 ) + a 2 2 ( α 1 ) 2 c γ ,

a 2 = a 2 , b 1 = b 1 , b 2 = 0 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(27) u 12 ( x , t ) = b 1 2 b 1 2 α 2 c 2 γ 2 a 2 c 2 ( 4 γ α 1 ) + a 2 2 ( α 1 ) 2 c γ × tanh ( c x ω t ) + a 2 tanh 2 ( c x ω t ) + b 1 coth ( c x ω t ) .

Family 13: For γ 0 and c 0 :

a 0 = 8 a 2 2 c 2 γ 2 a 1 2 c 2 γ 2 a 2 2 c 2 α 2 a 2 2 c 2 + a 2 3 α a 2 3 4 a 2 c 2 γ , a 1 = a 1 , a 2 = a 2 0 ,

b 1 = a 1 ( 16 a 2 2 c 2 γ + 2 a 1 2 c 2 γ 2 a 2 2 c 2 α 2 a 2 2 c 2 + 5 a 2 3 α 5 a 2 3 ) 4 a 2 2 c 2 γ , b 2 = 0 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(28) u 13 ( x , t ) = 8 a 2 2 c 2 γ 2 a 1 2 c 2 γ 2 a 2 2 c 2 α 2 a 2 2 c 2 + a 2 3 α a 2 3 4 a 2 c 2 γ + a 1 tanh ( c x ω t ) + a 2 tanh 2 ( c x ω t ) + a 1 ( 16 a 2 2 c 2 γ + 2 a 1 2 c 2 γ 2 a 2 2 c 2 α 2 a 2 2 c 2 + 5 a 2 3 α 5 a 2 3 ) 4 a 2 2 c 2 γ × coth ( c x ω t ) .

Family 14: For α 1 , c 0 , and γ 0 :

a 0 = 3 b 1 α + c 4 c 2 γ ( α 1 ) , a 1 = 0 , a 2 = 0 , b 1 = b 1 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(29) u 14 ( x , t ) = 3 b 1 α + c 4 c 2 γ ( α 1 ) + b 1 coth ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 15: For α 1 , c 0 , and 9 γ 7 α 7 0 :

a 0 = 0 , a 1 = 0 , a 2 = 2 c 2 ( 6 γ 2 γ α γ α 2 2 α 1 ) ( α 1 ) ( 9 γ 7 α 7 ) , b 1 = b 1 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(30) u 15 ( x , t ) = 2 c 2 ( 6 γ 2 γ α γ α 2 2 α 1 ) ( α 1 ) ( 9 γ 7 α 7 ) × tanh 2 ( c x ω t ) + b 1 coth ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 × coth 2 ( c x ω t ) .

Family 16: For α ± 1 , c 0 , and 2 γ α 1 0 :

a 0 = a 0 , a 1 = a 1 , a 2 = 0 , b 1 = 0 , b 2 = b 2 , and ω = a 0 c α + 3 γ b 2 2 ( 1 α 2 ) ( 2 γ α 1 ) .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(31) u 16 ( x , t ) = a 0 + a 1 tanh ( c x + ω t ) + b 2 coth 2 ( c x ω t ) .

Family 17: For α 1 , c 0 , and γ α 1 0 :

a 0 = 0 , a 1 = 0 , a 2 = 2 c 2 ( 9 γ 2 α 2 2 α 1 ) 9 ( α 1 ) ( γ α 1 ) , b 1 = b 1 , b 2 = 2 c 2 ( 3 γ α 1 ) 3 ( α 1 ) , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(32) u 17 ( x , t ) = 2 c 2 ( 9 γ 2 α 2 2 α 1 ) 9 ( α 1 ) ( γ α 1 ) tanh 2 ( c x + ω t ) + b 1 coth ( c x ω t ) 2 c 2 ( 3 γ α 1 ) 3 ( α 1 ) coth 2 ( c x ω t ) .

Family 18: For α 1 , c 0 , and γ 0 :

a 0 = a 2 ( 3 a 2 α + 10 γ c 2 + 2 c 2 ) 2 c 2 γ , a 1 = 0 , a 2 = a 2 , b 1 = b 1 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(33) u 18 ( x , t ) = a 2 ( 3 a 2 α + 10 γ c 2 + 2 c 2 ) 2 c 2 γ + a 2 tanh 2 ( c x + ω t ) + b 1 coth ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 19: For α 1 , γ 0 , c 0 , and 2 a 1 b 1 :

a 0 = a 1 ( a 1 2 α 2 2 a 1 2 α + a 1 2 8 γ 2 c 4 + 4 γ c 4 α + 4 γ c 4 ) 2 c 2 γ ( α 1 ) ( 2 a 1 b 1 ) , a 1 = a 1 , a 2 = 0 , b 1 = b 1 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(34) u 19 ( x , t ) = a 1 ( a 1 2 α 2 2 a 1 2 α + a 1 2 8 γ 2 c 4 + 4 γ c 4 α + 4 γ c 4 ) 2 c 2 γ ( α 1 ) ( 2 a 1 b 1 ) + a 1 tanh ( c x ω t ) + b 1 coth ( c x ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 20: For α ± 1 , c 0 , and γ 0 :

a 0 = 0 , a 1 = a 1 , a 2 = 0 , b 1 = 2 c a 1 ( 3 γ α 1 ) 3 α 1 , b 2 = c 4 ( 3 γ 5 α 1 ) γ 2 ( α 2 1 ) , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(35) u 20 ( x , t ) = a 1 tanh ( c x + ω t ) + 2 c a 1 ( 3 γ α 1 ) 3 α 1 × coth ( c x ω t ) c 4 ( 3 γ 5 α 1 ) γ 2 ( α 2 1 ) × coth 2 ( c x ω t ) .

Family 21: For γ 0 and c 0 :

a 0 = 0 , a 1 = 0 , a 2 = a 2 , b 1 = ± a 2 α + 1 γ , b 2 = 0 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(36) u 21 ( x , t ) = a 2 tanh 2 ( c x + ω t ) ± a 2 α + 1 γ coth ( c x ω t ) .

Family 22: For α ± 1 , c 0 , and γ 0 :

a 0 = 3 α 3 2 γ c 2 c γ ( α 2 1 ) , a 1 = 0 , a 2 = a 0 , b 1 = 0 , b 2 = 0 , ω = 3 a 0 α 4 γ c 2 ( α 1 ) .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(37) u 22 ( x , t ) = 3 α 3 2 γ c 2 c γ ( α 2 1 ) 3 α 3 2 γ c 2 c γ ( α 2 1 ) tanh 2 ( c x + ω t ) .

Family 23: For α 1 , c 0 , and γ 0 :

a 0 = 3 a 1 4 α 2 2 γ c 4 4 c 2 a 1 γ ( α 1 ) , a 1 = a 1 0 , a 2 = 0 , b 1 = 0 , b 2 = 2 c 2 ( 2 γ α 1 ) α 1 , and ω = ω .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(38) u 23 ( x , t ) = 3 a 1 4 α 2 2 γ c 4 4 c 2 a 1 γ ( α 1 ) + a 1 tanh ( c x + ω t ) 2 c 2 ( 2 γ α 1 ) α 1 coth 2 ( c x ω t ) .

Family 24: For α ± 1 , γ 0 , c 0 , and 2 γ α 1 0 :

a 0 = a 0 , a 1 = a 1 , a 2 = 10 c 2 ( 2 γ α 1 ) 3 ( α 1 ) , b 1 = 3 a 1 3 a 0 γ α 1 2 c γ , b 2 = 2 a 1 c 2 ( 2 γ α 1 ) α 2 1 , ω = a 0 c 3 α 3 ( 2 γ α 1 ) 2 .

Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:

(39) u 24 ( x , t ) = a 0 + a 1 tanh ( c x ω t ) 10 c 2 ( 2 γ α 1 ) 3 ( α 1 ) tanh 2 ( c x ω t ) + 3 a 1 3 a 0 γ α 1 2 c γ coth ( c x ω t ) 2 a 1 c 2 ( 2 γ α 1 ) α 2 1 coth 2 ( c x ω t ) .

As we can see in previous studies [2933] references therein, the technique proposed here has been effectively applied by various authors to solve problems involving shallow water waves.

4 Graphical presentation of solutions

The graphical representations illustrate the physical significance of the results derived from the gsiaKdV equation. In this section, the 3D and 2D diagrams of some of the obtained solution families are described. A 3D diagram is a three-dimensional plot that can be used to analyze the types of explicit solitary wave solutions and their relationship to the system’s parameters. Different waveforms, including bell-shaped, singular-shaped, kink-shaped, anti-kink-shaped, and other soliton shapes, are generated by different parameter values. We have shown the graphical structures of some results achieved in Figures 17.

Figure 1 
               Solution profile 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 8
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{8}\left(x,t)
                     
                   in the interval 
                     
                        
                        
                           ‒
                           5.0
                           ≤
                           x
                           ≤
                           5.0
                        
                        ‒5.0\le x\le 5.0
                     
                  , for the parameters selected in Case 1 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 8
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{8}\left(x,t)
                     
                   for 
                     
                        
                        
                           t
                           =
                           0.0
                        
                        t=0.0
                     
                   and 
                     
                        
                        
                           t
                           =
                           4.0
                        
                        t=4.0
                     
                   (right).
Figure 1

Solution profile u 8 ( x , t ) in the interval 5.0 x 5.0 , for the parameters selected in Case 1 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution u 8 ( x , t ) for t = 0.0 and t = 4.0 (right).

Case 1. Let us consider Family 8 with the parameters α = 1 , γ = 1 , and c = 0.5 , which allows us to determine that a 2 = 1.87 and a 0 = 1.875 . In addition to the free coefficients, we choose them as a 1 = 0 , b 1 = 0 , b 2 = 0 , and ω = 0.25 . Figure 1 shows the 3D and 2D bell-shaped soliton u 8 ( x , t ) for these parameters. The wave shape propagates smoothly by generating the wings on both sides.

Case 2. Let us consider Family 10 with the parameters α = 1 , γ = 1 , and c = 3.5 , which allows us to determine that a 2 = 4.08 and a 0 = 4.08 . In addition to the free coefficients, we choose them as a 1 = 0 , b 1 = 0 , b 2 = 0 , and ω = 0.33 . Figure 2 shows the 3D and 2D bell-shaped soliton u 10 ( x , t ) for these parameters. The wave shape propagates smoothly by generating the wings on both sides and the upper part of this shape is too narrow.

Figure 2 
               Solution profile 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 10
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{10}\left(x,t)
                     
                   in the interval 
                     
                        
                        
                           ‒
                           1.5
                           ≤
                           x
                           ≤
                           1.5
                        
                        ‒1.5\le x\le 1.5
                     
                  , for the parameters selected in Case 2 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 10
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{10}\left(x,t)
                     
                   for 
                     
                        
                        
                           t
                           =
                           0.0
                        
                        t=0.0
                     
                   and 
                     
                        
                        
                           t
                           =
                           4.0
                        
                        t=4.0
                     
                   (right).
Figure 2

Solution profile u 10 ( x , t ) in the interval 1.5 x 1.5 , for the parameters selected in Case 2 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution u 10 ( x , t ) for t = 0.0 and t = 4.0 (right).

Case 3. Let us consider Family 22 with the parameters α = 4 , γ = 2 , and c = 1.2 , which allows us to determine that a 0 = 1.61 , a 2 = 1.61 and ω = 0.56 . Figure 3 shows the 3D and 2D bell-shaped soliton u 22 ( x , t ) for these parameters. The wave shape propagates smoothly by generating the wings on both sides and the wave axis is affected by the parameters.

Figure 3 
               Solution profile 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 22
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{22}\left(x,t)
                     
                   in the interval 
                     
                        
                        
                           ‒
                           3.0
                           ≤
                           x
                           ≤
                           3.0
                        
                        ‒3.0\le x\le 3.0
                     
                  , for the parameters selected in Case 3 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 22
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{22}\left(x,t)
                     
                   for 
                     
                        
                        
                           t
                           =
                           0.0
                        
                        t=0.0
                     
                   and 
                     
                        
                        
                           t
                           =
                           3.0
                        
                        t=3.0
                     
                   (right).
Figure 3

Solution profile u 22 ( x , t ) in the interval 3.0 x 3.0 , for the parameters selected in Case 3 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution u 22 ( x , t ) for t = 0.0 and t = 3.0 (right).

Case 4. Let us consider Family 4 with the parameters α = 2 , γ = 1.5 , and c = 2.4 , which allows us to determine that a 2 = 3.52 , b 2 = 0 , and ω = 2.14 . In addition to the free coefficients, we choose them as a 0 = 4.7 and a 1 = 4.7 . Figure 4 shows the 3D and 2D kink-shaped soliton u 4 ( x , t ) for these parameters. The wave shape ascends from left to right and tends to a constant level at t .

Figure 4 
               Solution profile 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 4
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{4}\left(x,t)
                     
                   in the interval 
                     
                        
                        
                           ‒
                           5.0
                           ≤
                           x
                           ≤
                           5.0
                        
                        ‒5.0\le x\le 5.0
                     
                  , for the parameters selected in Case 4 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 4
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{4}\left(x,t)
                     
                   for 
                     
                        
                        
                           t
                           =
                           0.0
                        
                        t=0.0
                     
                   and 
                     
                        
                        
                           t
                           =
                           3.0
                        
                        t=3.0
                     
                   (right).
Figure 4

Solution profile u 4 ( x , t ) in the interval 5.0 x 5.0 , for the parameters selected in Case 4 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution u 4 ( x , t ) for t = 0.0 and t = 3.0 (right).

Case 5. Let us consider Family 13 with the parameters α = 3.01 , γ = 2.2 , and c = 2.6 , which allows us to determine that a 0 = 8.22 and b 1 = 6.51 . In addition to the free coefficients, we choose them as a 1 = 5.7 , a 2 = 2.7 , and ω = 6.0 . Figure 5 shows the 3D and 2D singular traveling wave soliton u 13 ( x , t ) for these parameters. The left side of the waveform decreases abruptly, while the right side grows abruptly along a straight line.

Figure 5 
               Solution profile 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 13
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{13}\left(x,t)
                     
                   in the interval 
                     
                        
                        
                           ‒
                           3.0
                           ≤
                           x
                           ≤
                           3.0
                        
                        ‒3.0\le x\le 3.0
                     
                  , for the parameters selected in Case 5 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 13
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{13}\left(x,t)
                     
                   for 
                     
                        
                        
                           t
                           =
                           0.0
                        
                        t=0.0
                     
                   and 
                     
                        
                        
                           t
                           =
                           1.0
                        
                        t=1.0
                     
                   (right).
Figure 5

Solution profile u 13 ( x , t ) in the interval 3.0 x 3.0 , for the parameters selected in Case 5 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution u 13 ( x , t ) for t = 0.0 and t = 1.0 (right).

Case 6. Let us consider Family 5 with the parameters α = 3.4 , γ = 2.2 , and c = 2.4 , which allows us to determine that a 2 = 4.73 and b 2 = 0 . In addition to the free coefficients, we choose them as a 0 = 5.2 , a 1 = 2.8 , and ω = 5.8 . Figure 6 shows the 3D and 2D anti-kink-shaped soliton u 5 ( x , t ) for these parameters. The waveform has an abrupt decrease, which changes the level in height.

Figure 6 
               Solution profile 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 5
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{5}\left(x,t)
                     
                   in the interval 
                     
                        
                        
                           ‒
                           5.0
                           ≤
                           x
                           ≤
                           5.0
                        
                        ‒5.0\le x\le 5.0
                     
                  , for the parameters selected in Case 6 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 5
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{5}\left(x,t)
                     
                   for 
                     
                        
                        
                           t
                           =
                           0.0
                        
                        t=0.0
                     
                   and 
                     
                        
                        
                           t
                           =
                           1.0
                        
                        t=1.0
                     
                   (right).
Figure 6

Solution profile u 5 ( x , t ) in the interval 5.0 x 5.0 , for the parameters selected in Case 6 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution u 5 ( x , t ) for t = 0.0 and t = 1.0 (right).

Case 7. Let us consider Family 16 with the parameters α = 5.5 , γ = 2.0 , and c = 6.0 , which allows us to determine that ω = 4.15 . In addition to the free coefficients, we choose them as a 0 = 23 , a 1 = 18.6 , a 2 = 0 , b 1 = 0 , and b 2 = 1.05 . Figure 7 shows the 3D and 2D singular-shaped soliton u 16 ( x , t ) for these parameters. The waveform exhibits a singularity that abruptly decreases its height level.

Figure 7 
               Solution profile 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 16
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{16}\left(x,t)
                     
                   in the interval 
                     
                        
                        
                           ‒
                           5.0
                           ≤
                           x
                           ≤
                           5.0
                        
                        ‒5.0\le x\le 5.0
                     
                  , for the parameters selected in Case 7 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution 
                     
                        
                        
                           
                              
                                 u
                              
                              
                                 16
                              
                           
                           
                              (
                              
                                 x
                                 ,
                                 t
                              
                              )
                           
                        
                        {u}_{16}\left(x,t)
                     
                   for 
                     
                        
                        
                           t
                           =
                           0.0
                        
                        t=0.0
                     
                   (right).
Figure 7

Solution profile u 16 ( x , t ) in the interval 5.0 x 5.0 , for the parameters selected in Case 7 (left). Wavefront contour plot (center), and 2D plot of traveling wave solution u 16 ( x , t ) for t = 0.0 (right).

5 Discussion

Given that α = 1 and γ = 1 , the solutions to the SIdV Eq. (3) are the members of Family 8, as illustrated in Case 1, whereas Family 10 exemplified in Case 2 represents a set of solutions for KdV Eq. (1). In addition, Family 22 examined in Case 3 is a solution set for gsiaKdV Eq. (4), because α ± 1 and γ 0 . These three examples illustrate that the proposed technique confirms what has been stated by previous researchers [3,22,25,26], namely, that Eqs. (1), (3), and (4) have solutions of the bell-shaped type (2). Finally, the families considered in Cases 4, 5, 6, and 7 are solution sets for gsiaKdV Eq. (4), because α ± 1 and γ 0 , and it is shown that Eq. (4) admits traveling wave solutions of the kink, anti-kink, and singular anti-kink varieties [25]. It is clear that gsiaKdV Eq. (4) has an abundance of distinctive solutions that correspond to a variety of physical structures.

6 Conclusion

The gsiaKdV equation is a generalization of both the KdV and SIdV equations; the mathematical model includes the term ( 3 ( 1 α ) u + ( 1 + α ) u x x u ) , which can be seen as an advecting velocity. In this article, we study the gsiaKdV equation for the first time using the tanh–coth method, and the results revealed that this generalization shares bell-shaped solutions with both the KdV equation and the SIdV equation, as reported previously by other authors; we also obtained other types of solutions that could be of interest in the study of shallow wave motion over the ocean. The presented and used method is applicable to other types of nonlinear evolution equations arising in engineering, mathematical physics, and biological sciences. These new findings are particularly promising for future research characterizing the behavior of atmospheric phenomena caused by shallow ocean waves. The tanh–coth method is applicable to several types of equations, easy to use, and has the advantage of determining more than one solution. However, the tanh–coth method is incapable to generate n-soliton solutions to describe soliton interaction, in contrast, the Hirota method and the Wronskian technique. In future study, other exact solution methods may be used to the studied equation. All the computational work is accomplished using Mathematica 12.2 version software.

Acknowledgements

The authors thank the reviewers for their valuable comments.

  1. Funding information: The authors state no funding involved.

  2. Author contributions: The author has accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Conflict of 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 article.

  4. Data availability statement: No data were used to support this study.

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Received: 2023-04-19
Revised: 2023-08-05
Accepted: 2023-09-04
Published Online: 2023-10-03

© 2023 the author(s), published by De Gruyter

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

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  24. Simulations of fractional time-derivative against proportional time-delay for solving and investigating the generalized perturbed-KdV equation
  25. Pricing weather derivatives in an uncertain environment
  26. Variational principles for a double Rayleigh beam system undergoing vibrations and connected by a nonlinear Winkler–Pasternak elastic layer
  27. Novel soliton structures of truncated M-fractional (4+1)-dim Fokas wave model
  28. Safety decision analysis of collapse accident based on “accident tree–analytic hierarchy process”
  29. Derivation of septic B-spline function in n-dimensional to solve n-dimensional partial differential equations
  30. Development of a gray box system identification model to estimate the parameters affecting traffic accidents
  31. Homotopy analysis method for discrete quasi-reversibility mollification method of nonhomogeneous backward heat conduction problem
  32. New kink-periodic and convex–concave-periodic solutions to the modified regularized long wave equation by means of modified rational trigonometric–hyperbolic functions
  33. Explicit Chebyshev Petrov–Galerkin scheme for time-fractional fourth-order uniform Euler–Bernoulli pinned–pinned beam equation
  34. NASA DART mission: A preliminary mathematical dynamical model and its nonlinear circuit emulation
  35. Nonlinear dynamic responses of ballasted railway tracks using concrete sleepers incorporated with reinforced fibres and pre-treated crumb rubber
  36. Two-component excitation governance of giant wave clusters with the partially nonlocal nonlinearity
  37. Bifurcation analysis and control of the valve-controlled hydraulic cylinder system
  38. Engineering fault intelligent monitoring system based on Internet of Things and GIS
  39. Traveling wave solutions of the generalized scale-invariant analog of the KdV equation by tanh–coth method
  40. Electric vehicle wireless charging system for the foreign object detection with the inducted coil with magnetic field variation
  41. Dynamical structures of wave front to the fractional generalized equal width-Burgers model via two analytic schemes: Effects of parameters and fractionality
  42. Theoretical and numerical analysis of nonlinear Boussinesq equation under fractal fractional derivative
  43. Research on the artificial control method of the gas nuclei spectrum in the small-scale experimental pool under atmospheric pressure
  44. Mathematical analysis of the transmission dynamics of viral infection with effective control policies via fractional derivative
  45. On duality principles and related convex dual formulations suitable for local and global non-convex variational optimization
  46. Study on the breaking characteristics of glass-like brittle materials
  47. The construction and development of economic education model in universities based on the spatial Durbin model
  48. Homoclinic breather, periodic wave, lump solution, and M-shaped rational solutions for cold bosonic atoms in a zig-zag optical lattice
  49. Fractional insights into Zika virus transmission: Exploring preventive measures from a dynamical perspective
  50. Rapid Communication
  51. Influence of joint flexibility on buckling analysis of free–free beams
  52. Special Issue: Recent trends and emergence of technology in nonlinear engineering and its applications - Part II
  53. Research on optimization of crane fault predictive control system based on data mining
  54. Nonlinear computer image scene and target information extraction based on big data technology
  55. Nonlinear analysis and processing of software development data under Internet of things monitoring system
  56. Nonlinear remote monitoring system of manipulator based on network communication technology
  57. Nonlinear bridge deflection monitoring and prediction system based on network communication
  58. Cross-modal multi-label image classification modeling and recognition based on nonlinear
  59. Application of nonlinear clustering optimization algorithm in web data mining of cloud computing
  60. Optimization of information acquisition security of broadband carrier communication based on linear equation
  61. A review of tiger conservation studies using nonlinear trajectory: A telemetry data approach
  62. Multiwireless sensors for electrical measurement based on nonlinear improved data fusion algorithm
  63. Realization of optimization design of electromechanical integration PLC program system based on 3D model
  64. Research on nonlinear tracking and evaluation of sports 3D vision action
  65. Analysis of bridge vibration response for identification of bridge damage using BP neural network
  66. Numerical analysis of vibration response of elastic tube bundle of heat exchanger based on fluid structure coupling analysis
  67. Establishment of nonlinear network security situational awareness model based on random forest under the background of big data
  68. Research and implementation of non-linear management and monitoring system for classified information network
  69. Study of time-fractional delayed differential equations via new integral transform-based variation iteration technique
  70. Exhaustive study on post effect processing of 3D image based on nonlinear digital watermarking algorithm
  71. A versatile dynamic noise control framework based on computer simulation and modeling
  72. A novel hybrid ensemble convolutional neural network for face recognition by optimizing hyperparameters
  73. Numerical analysis of uneven settlement of highway subgrade based on nonlinear algorithm
  74. Experimental design and data analysis and optimization of mechanical condition diagnosis for transformer sets
  75. Special Issue: Reliable and Robust Fuzzy Logic Control System for Industry 4.0
  76. Framework for identifying network attacks through packet inspection using machine learning
  77. Convolutional neural network for UAV image processing and navigation in tree plantations based on deep learning
  78. Analysis of multimedia technology and mobile learning in English teaching in colleges and universities
  79. A deep learning-based mathematical modeling strategy for classifying musical genres in musical industry
  80. An effective framework to improve the managerial activities in global software development
  81. Simulation of three-dimensional temperature field in high-frequency welding based on nonlinear finite element method
  82. Multi-objective optimization model of transmission error of nonlinear dynamic load of double helical gears
  83. Fault diagnosis of electrical equipment based on virtual simulation technology
  84. Application of fractional-order nonlinear equations in coordinated control of multi-agent systems
  85. Research on railroad locomotive driving safety assistance technology based on electromechanical coupling analysis
  86. Risk assessment of computer network information using a proposed approach: Fuzzy hierarchical reasoning model based on scientific inversion parallel programming
  87. Special Issue: Dynamic Engineering and Control Methods for the Nonlinear Systems - Part I
  88. The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control
  89. Equilibrium stability of dynamic duopoly Cournot game under heterogeneous strategies, asymmetric information, and one-way R&D spillovers
  90. Mathematical prediction model construction of network packet loss rate and nonlinear mapping user experience under the Internet of Things
  91. Target recognition and detection system based on sensor and nonlinear machine vision fusion
  92. Risk analysis of bridge ship collision based on AIS data model and nonlinear finite element
  93. Video face target detection and tracking algorithm based on nonlinear sequence Monte Carlo filtering technique
  94. Adaptive fuzzy extended state observer for a class of nonlinear systems with output constraint
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