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.
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]
where
where
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 [13–21]; 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:
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 [22–24].
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,
where
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
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:
Using traveling wave variable change
(II) The tanh–coth method provides the solutions for Eq. (6) as the finite sum:
where the coefficients
The introduction of this new dependent variable implies that:
The subsequent derivatives can be computed in a similar way.
(III) To determine the upper limit
(IV) We consider
(V) We select all the terms that have the same algebraic power of
(VI) Finally, having obtained the coefficients
3 Utilization of the tanh–coth methodology
The traveling wave transform of Eq. (4) is assumed to be of the form
Substituting directly into Eq. (4), we achieve the nonlinear ordinary differential equation:
Integrating once with respect to
Then, using the characteristic variable change of the method, i.e.,
Balancing
Substituting Eq. (15) with their respective derivatives into Eq. (14) and collecting all terms with equal power of
Using the well-known Mathematica software to solve the aforementioned system, we find the following families of solutions:
Family 1: For
Substituting the obtained parameters into the general solution (15), we obtain the following family of solutions:
Family 2: For
Therefore, proceeding as in the previous case, the set of solutions for this family is provided by:
Family 3: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 4: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 5: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 6: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 7: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 8: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 9: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 10: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 11: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 12: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 13: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 14: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 15: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 16: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 17: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 18: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 19: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 20: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 21: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 22: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 23: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
Family 24: For
Therefore, proceeding as in the previous cases, the set of solutions for this family is provided by:
As we can see in previous studies [29–33] 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 1–7.

Solution profile
Case 1. Let us consider Family 8 with the parameters
Case 2. Let us consider Family 10 with the parameters

Solution profile
Case 3. Let us consider Family 22 with the parameters

Solution profile
Case 4. Let us consider Family 4 with the parameters

Solution profile
Case 5. Let us consider Family 13 with the parameters

Solution profile
Case 6. Let us consider Family 5 with the parameters

Solution profile
Case 7. Let us consider Family 16 with the parameters

Solution profile
5 Discussion
Given that
6 Conclusion
The gsiaKdV equation is a generalization of both the KdV and SIdV equations; the mathematical model includes the term
Acknowledgements
The authors thank the reviewers for their valuable comments.
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Funding information: The authors state no funding involved.
-
Author contributions: The author has accepted responsibility for the entire content of this manuscript and approved its submission.
-
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.
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Data availability statement: No data were used to support this study.
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- A novel hybrid ensemble convolutional neural network for face recognition by optimizing hyperparameters
- Numerical analysis of uneven settlement of highway subgrade based on nonlinear algorithm
- Experimental design and data analysis and optimization of mechanical condition diagnosis for transformer sets
- Special Issue: Reliable and Robust Fuzzy Logic Control System for Industry 4.0
- Framework for identifying network attacks through packet inspection using machine learning
- Convolutional neural network for UAV image processing and navigation in tree plantations based on deep learning
- Analysis of multimedia technology and mobile learning in English teaching in colleges and universities
- A deep learning-based mathematical modeling strategy for classifying musical genres in musical industry
- An effective framework to improve the managerial activities in global software development
- Simulation of three-dimensional temperature field in high-frequency welding based on nonlinear finite element method
- Multi-objective optimization model of transmission error of nonlinear dynamic load of double helical gears
- Fault diagnosis of electrical equipment based on virtual simulation technology
- Application of fractional-order nonlinear equations in coordinated control of multi-agent systems
- Research on railroad locomotive driving safety assistance technology based on electromechanical coupling analysis
- Risk assessment of computer network information using a proposed approach: Fuzzy hierarchical reasoning model based on scientific inversion parallel programming
- Special Issue: Dynamic Engineering and Control Methods for the Nonlinear Systems - Part I
- The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control
- Equilibrium stability of dynamic duopoly Cournot game under heterogeneous strategies, asymmetric information, and one-way R&D spillovers
- Mathematical prediction model construction of network packet loss rate and nonlinear mapping user experience under the Internet of Things
- Target recognition and detection system based on sensor and nonlinear machine vision fusion
- Risk analysis of bridge ship collision based on AIS data model and nonlinear finite element
- Video face target detection and tracking algorithm based on nonlinear sequence Monte Carlo filtering technique
- Adaptive fuzzy extended state observer for a class of nonlinear systems with output constraint