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Nonlinear dynamic wave properties of travelling wave solutions in in (3+1)-dimensional mKdVZK model

  • S. M. Yiasir Arafat ,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

    yiasirarafat28@gmail.com

    Affiliation Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

  • M. Asif,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliation Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

  • M. M. Rahman

    Roles Data curation, Investigation, Supervision

    Affiliation Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

Abstract

The (3+1)-dimensional mKdVZK model is an important framework for studying the dynamic behavior of waves in mathematical physics. The goal of this study is to look into more generic travelling wave solutions (TWSs) for the generalized ion-acoustic scenario in three dimensions. These solutions exhibit a combination of rational, trigonometric, hyperbolic, and exponential solutions that are concurrently generated by the new auxiliary equation and the unified techniques. We created numerous soliton solutions, including kink-shaped soliton solutions, anti-kink-shaped solutions, bell-shaped soliton solutions, periodic solutions, and solitary soliton solutions, for various values of the free parameters in the produced solutions. The attained solutions are displayed geometrically in the surface plot (3-D), contour, and combined two-dimensional (2-D) figures. The combined 2-D figure would make it easier to understand the impact of the speed of the wave. Based on time, the influence of the nonlinear parameter β on wave type is comprehensively investigated using various figures, demonstrating the significant impact of nonlinearity. These graphical representations are based on specific parameter settings, which help to grasp the model’s intricate general behavior. However, the results of this research are compared with the outcomes obtained in published literature executed by other scholars. The results indicate the approach’s effectiveness and reliability, making it suitable for widespread use in a range of sophisticated nonlinear models. These techniques successfully generate inventive soliton solutions for various nonlinear models, which are crucial in mathematical physics.

1 Introduction

In a wide range of scientific, technical, and technological domains, theoretical outcomes are superior to experimental results in comprehending physical processes. Real characteristic phenomena of our world are described with the help of nonlinear evolution models (NLEMs). There are a lot of applications of NLEMs in several domains of physics, mathematics, and engineering. For instance, plasma physics [1,2], fluid dynamics [3,4], biomathematics [5], nonlinear optics [6,7], shallow water waves [8,9], and many others [1015]. Many researchers also discussed phase portraits, maximal Lyapunov exponents, Neimark–Sacker bifurcation, period-doubling bifurcation diagrams, stability analysis, exploring fractional order and many other physical phenomena [1627]. It is a very challenging task to find the exact solution for NLEMs, but researchers are very interested in discovering potent and effective techniques. Because of the widespread applications and importance of nonlinear models, many scholars have developed a variety of useful tools and approaches to analysis partial differential equations (PDEs) such as, -expansion approach [28,29], F-expansion method [30], tanh-coth method [31], first integral technique [32], direct algebraic method [33], inverse scattering method [34], sin-Gordon expansion [35], new auxiliary equation approach [36], modified simple equation method [37], Hirota bilinear method [38,39], unified method [40], modified modified exp-function method [4143] and so on.

The (3+1)-dimensional mKdVZK model describes the weakly nonlinear ion-acoustic waves in a magnetized electron-positron plasma with equally hot and cool components [44]. In addition, it describes the evolution of ion-acoustic disturbances in a magnetized plasma with two negative ion components of different temperatures. Therefore, the (3+1)-dimensional mKdVZK model provides a base for theoretical research and application across a wide range of scientific areas. The (3+1)-dimensional mKdVZK [45] model is given in the following form: (1.1) where β is an arbitrary constant that measures the nonlinearity’s strength, u is a wave function with x,y,z, and t are the independent variables, the subscripts stipulate the partial derivatives. Also, u2ux is a nonlinear term known as cubic nonlinear that indicates the wave profile effect on linear wave propagation and represents cubic relationships.

Throughout history, numerous efficient and compatible methodologies have been used to analyze the mKdVZK model such as, the improved fractional sub-equation method [46], the modified Riemann–Liouville derivative, the exp-function, the -expansion, and the generalized Kudryashov method [47], the improved generalized Riccati equation mapping method [48], the improved Bernoulli sub-equation method [49], the Sardar-sub equation method [50]. the variable separated ODE method [51] and more.

Several researchers have investigated the new auxiliary equation and unified methodologies to examine the exact TWSs of a large number of NLEMs. To the best of our knowledge, researcher has not been found TWSs to the (3+1)-dimensional mKdVZK model through new auxiliary equation and unified methods.

Therefore, in the above-mentioned academic study, the core determination of our article is to provide standard, compatible, and stable TWSs to the specified model using these methods. Moreover, we represent the physical illustration as well as the 3-dimensional, contour and combined 2- dimensional graphical depiction are displayed to the investigated solutions. Understanding the (3+1)-dimensional mKdV-ZK model is theoretical knowledge; its understanding of wave behavior also enables scientists and engineers to create more efficient communication networks and better understand wave interactions in natural environments. The outcomes of this study will be significant in clarifying the meaning of the difficult physical phenomena in fluid mechanics, high-frequency plasma physics, marine engineering, ocean physics, and solitary wave theory.

The rest of the manuscript is organized as follows: In part 2, we discuss the methodology including new auxiliary equation unified methods as well as discuss the application of the stated model via abovementioned methods in part 3. The outcomes of these model are graphically present and give physical explanation with real life significant in part 4. Finally, the paper’s conclusion is reached.

2.Overview the schemes

We will briefly describe two analytical techniques for exploring some soliton solutions of the PDEs in this section. We suppose the PDEs with variables z,y,z, and t of a function F in the desired construction: (2.1) in this case, F is a nonlinear polynomial function covering wave function u(x,y,z,t), including its various partial derivatives respect to x,y,z, and t. By using a proper wave transform (2.2)

Eq (2.1) becomes (2.3)

The symbol (′) indicates the derivative with respect to ξ.

2.1 The new auxiliary equation scheme

In this sub-section, we describe the total procedure to the new auxiliary equation method [36]. We assume that the TWSs to the Eq (2.3) are the following form: (2.4) where kj(j = 0,1,2,…,S) are constants to be compute, such that kj≠0 and g(ξ) satisfies the following equation (2.5) we determine the positive integer S applying the balancing between the highest order derivatives and highest order nonlinear terms in Eq (2.3). Substituting Eqs (2.4) and (2.5) into Eq (2.3), producing an algebraic equation where the left and right sides are determined by the powers of . After resolving these equations, we get a system of algebraic equation and calculate the values of and other variables. Finally, the real constants and g(ξ) putting into Eq (2.4), yield many TWSs from the Eq (2.1).

Case-1: when n2−4ml<0 and l≠0,

or

Case-2: when n2−4ml>0 and

or

Case-3: when and l = −m,

or

Case-4: when and l = −m,

or

Case-5: when n2−4m2<0 and

or

Case-6: when n2+4m2>0 and

or

Case-7: when

Case-8: when ml<0, n = 0 and

or

Case-9: when n = 0 and m = −l,

Case-10: when m = l = 0,

Case-11: when m = n = C and

Case-12: when n = l = ϕ and

Case-13: when .

Cas-14: when

Case-15: when

Case-16: when

Case-17: when l = n = 0,

Case-18: when

Case-19: when l = m and

Case-20: when

2.2 The unified scheme

In this sub-section, we describe the total procedure to the unified method [52]. Assume that the TWSs to the Eq (2.3) is represented in the following form: (2.6) where kj(j = 1,2,…,S) and lj(j = 1,2,…,S), ks and ls cannot both be zero simultaneously due to constants that will be examined further. satisfy the Riccati differential equation. (2.7) we determine the positive integer S applying the balancing between the highest order derivatives and highest order nonlinear terms in Eq (2.3). Substituting Eqs (2.6) and (2.7) into Eq (2.3), producing the same powers of aj, (j = 0,1,2,…), then setting each coefficient of aj be zero yield a set of algebraic equation in terms of lj, cj and λ. Substituting lj, cj and λ into (2.6) with the help of (2.7) we obtained the TWSs of Eq (2.1) for various condition of λ.

Case-01: when λ<0,

Case-02: when λ>0,

Case-03: when

where ℬ and ℛ are two real type arbitrary parameters, and h is also arbitrary constant.

3. Mathematical formulation of the model

In this section, we will apply the new auxiliary equation method and the unified method to mKdVZK model to explore TWSs and mathematical analysis. Let us consider the travelling wave transformation (3.1)

Utilizing Eq (1.1) with the help of Eq (3.1), then we get the form: (3.2)

Integrating and simplifying of Eq (3.2), the required form: (3.3)

By using the balancing procedure in (3.3), we find S = 1.

3.1 Solution analysis through the new auxiliary equation method

We attain the balance value of S from (3.3) the general solution of (2.4) takes the following form: (3.4) where k0, and k1 are constants and to be evaluated latter. By inserting Eq (3.4) and Eq (2.5) into Eq (3.3), and then setting the coefficients of ag(ξ) to zero, we may build a set of algebraic equations that Maple can solve to reach the following solution sets:

Set-1:

Set-2:

Inserting the Set-1 values in Eq (3.4) along with Eq (3.3), we can attain the following solutions as the mKdVZK model.

When n2−4ml<0 and l≠0,

or

When n2−4ml>0 and l≠0,

or

When n2+4m2<0, l≠0 and l = −m,

or

When n2+4m2>0, l≠0 and l = −m,

or

When n2−4m2<0 and l = m,

or .

When n2+4m2>0 and l = m,

or

When n2 = 4ml,

When ml<0, n = 0 and l≠0,

or

When n = 0 and m = −l,

When n = l = ϕ and m = 0,

When n = (m+l),

When n = −(m+l),

When m = 0,

When l = n = m≠0,

When m = n = 0,

When l = m and n = 0,

Inserting the Set-2 values in Eq (3.4) along with Eq (3.3), we can attain the following solutions as the mKdVZK model.

When n2−4ml<0 and l≠0,

or

When n2−4ml>0 and l≠0,

or

When n2+4ml2<0, l≠0 and l = −m,

or

When n2+4m2>0, l≠0 and l = −m,

or

When n2−4m2<0 and l = m,

or

When n2+4m2>0 and l = m,

or

When n2 = 4ml, .

When ml<0, n = 0 and l≠0,

or

When n = 0 and m = −l,

When n = l = ϕ and m = 0,

When n = (m+1),

When n = −(m+1),

When m = 0,

When l = n = m≠0,

When m = n = 0,

When l = m and n = 0,

3.2 Solution analysis through the unified method

Based upon the number of balance principle S the trial solution of Eq (3.3) become of the following form: (3.5)

Where k0, k1 and l1 are arbitrary constant and k1, l1 cannot both be zero simultaneously. Inserting Eq (3.5) and Eq (2.7) into Eq (3.3), and after that, adjusting the φ(ξ) factors to zero, we are able to develop following set of collection:

Set-1:

Set-2:

Set-3:

Set-4:

Set-5:

Set-6:

Where

Inserting the Set-1 values in Eq (3.5) along with Eq (3.3), we can attain the following solutions as the mKdVZK model.

When λ<0, we obtain

When λ>0, we obtain

When λ = 0, we obtain

Inserting the Set-2 values in Eq (3.5) along with Eq (3.3), we can attain the following solutions as the mKdVZK model.

When λ<0, we obtain

When λ>0, we obtain

When λ = 0, we obtain

Inserting the Set-3 values in Eq (3.5) along with Eq (3.3), we can attain the following solutions as the mKdVZK model.

When λ<0, we obtain

When λ>0, we obtain

When λ = 0, we obtain

Inserting the Set-4 values in Eq (3.5) along with Eq (3.3), we can attain the following solutions as the mKdVZK model.

When λ<0, we obtain

When λ>0, we obtain

When λ = 0, we obtain

Inserting the Set-5 values in Eq (3.5) along with Eq (3.3), we can attain the following solutions as the mKdVZK model.

When λ<0, we obtain

When λ>0, we obtain

When λ = 0, we obtain

Inserting the Set-6 values in Eq (3.5) along with Eq (3.3), we can attain the following solutions as the mKdVZK model.

When λ<0, we obtain

When λ>0, we obtain

When λ = 0, we obtain

4. Result and discussion

This part is divided into two subparts. Subpart 4.1 shows a graphical illustration of the obtained solutions, and Subpart 4.2 provides a physical description. Using MATLAB software, 3D, Contour, and combined 2D wave profiles are made by choosing an appropriate undefined parameter in the (3+1)-dimensional mKdV-ZK model. Functions with two-dimensional input and one-dimensional output can be displayed using three-dimensional graphs. In data analysis, these graphs are frequently used to identify the highest and lowest levels in a multidimensional data collection. This part aims to illustrate the solutions discovered during this research. We study the physical use of the wave.

4.1 Graphically illustration

See Figs 18.

thumbnail
Fig 1. The depictions of the solution u3(x,y,z,t) for picking unrestricted parameters and we construct a 3D, contour and amalgamated 2D representation over the rang −20≤x,t≤20.

https://doi.org/10.1371/journal.pone.0306734.g001

thumbnail
Fig 2. The illustrations of the solution u5(x,y,z,t) opting for unrestricted constrains and we get a 3D, contour and amalgamated 2D diagram over the rang −20≤x,t≤20.

https://doi.org/10.1371/journal.pone.0306734.g002

thumbnail
Fig 3. The modulus portrayed of the solution u11(x,y,z,t) for electing free parameters and we attain a 3D, contour and amalgamated 2D diagram over the rang −20≤x,t≤20.

https://doi.org/10.1371/journal.pone.0306734.g003

thumbnail
Fig 4. The attributes of the solution u20(x,y,z,t) for picking unrestricted parameters and we build a 3D, contour and combined 2D a schematic over the rang −20≤x,t≤20.

https://doi.org/10.1371/journal.pone.0306734.g004

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Fig 5. The diagrams of the solution u47(x,y,z,t) for determining parameters and we create a 3D, contour and amalgamated 2D diagram over the rang −20≤x,t≤20.

https://doi.org/10.1371/journal.pone.0306734.g005

thumbnail
Fig 6. The sketches of the solution u49(x,y,z,t) for picking unrestricted parameters and we construct a 3D, contour and amalgamated 2D representation over the rang −20≤x,t≤20.

https://doi.org/10.1371/journal.pone.0306734.g006

thumbnail
Fig 7. The modulus attributes of the solution u51(x,y,z,t) for choosing parameters and we construct a 3D, contour and combined 2D representation over the rang −10≤x,t≤10.

https://doi.org/10.1371/journal.pone.0306734.g007

thumbnail
Fig 8. The modulus illustrations of the solution u54(x,y,z,t) for taking free parameters and we attain a 3D, contour and combined 2D diagram over the rang −10≤x,t≤10.

https://doi.org/10.1371/journal.pone.0306734.g008

4.2. Physical description

Our main focus was on the wave function u(x,y,z,t) solutions to the (3+1)-dimensional mKdVZK models and how the wave profiles are influenced by the parameters. The steady propagation of each wave is depicted in 3D, contour, and combination 2D images. The 3D representation of the solution u3(x,y,z,t) for the choosing values of parameters of p = 0.3, q = 1, r = 1, m = 0.3, n = 2, l = 0.7, β = −0.1, y = z = 0. The 3D structure presents the flat kink shaped soliton of this solution, which is portrayed in Fig 1(A) and involved contour in Fig 1(B) is plotted. Fig 1(C) demonstrates the progression of the waves for different values of t = 0.1, 0.1, 1. The desired solution u5(x,y,z,t) highlights flat anti-kink shaped soliton for taking free parameter of p = −1, q = 0.3, r = −0.1, m = 0.9, n = 1, l = −0.9, β = −1, y = z = 1 as seen in Fig 2(A) and equivalent contour in Fig 2(B) are plotted respectively. Fig 2(C) indicates the progression of the waves for various values of t = 0.3,0.9,1.5. The 3D representation of the modulus solution u11(x,y,z,t) for the suitable values of parameters of p = 0.3, q = 0.2, r = 0.5, m = 0.25, n = 1.2, l = 0.25, β = −10, y = z = 1. The 3D structure presents the dark soliton or V-shaped soliton of this solution, which is displayed in Fig 3(A) and associated contour in Fig 3(B) is plotted. Fig 3(C) shows the progression of the waves for different values of t = 1, 5, 9. The 2D plot provides a better understanding the effect of free parameters for different values of t and shows various positions of these values. We depict the 3D wave structure of the solution u20(x,y,z,t) for the parameters of The 3D structure represent the smooth anti-kink shaped soliton of this solution, which is portrayed in Fig 4(A) and associated contour in Fig 4(B) is plotted. Fig 4(C) demonstrates the progression of the waves for several values of t = 1, 5, 9. The 3D surface of the solution u55(x,y,z,t) conveys the smooth anti-kink soliton for the selecting parametric values of The 3D structure is displayed in Fig 5(A) and its corresponding contour in Fig 5(B) is plotted. Also, Fig 5(C) shows the progression of the waves for distinguished values of λ = −2,−4,−6. The desired solution u57(x,y,z,t) shows smooth kink shaped soliton for picking unrestricted parameter of , is depicted in Fig 6(A). and related contour in Fig 6(B) are plotted respectively. Fig 6(C) demonstrates the progression of the waves for distinct values of λ = −1,−2,−3. The 3D wave structure of the modulus solution u59(x,y,z,t) signifies the bell shaped soliton (which another name bright soliton studying in optical fiber) for the free parameter of The 3D structure is showed in Fig 7(A) and associated contour in Fig 7(B) is plotted. Fig 7(C) shows the progression of the waves for different values of t = 1.7, 1.8, 1.9. The absolute solution u62(x,y,z,t) displays M-shaped soliton for the free parameter of is displayed in Fig 8(A). and associated contour in Fig 8(B) are plotted respectively. Fig 8(C) shows the progression of the waves for different values of λ = 0.12, 0.16, 0.2. A stable and durable wave solution is the M-shaped soliton. It can be provide far-reaching data transmission. The impact of nonlinear parameters β and λ of the obtained solution based on the time exhibits the wave amplitude of the horizontal axis.

4.3 Comparison

In this research article, we will discuss comparison between attained solutions and Al-Ghafri et. al [51] solutions. Al-Ghafri et. al [51] studied of the (3+1)-dimensional space–time fractional mKdVZK equation by the variable separated ODE method. If we consider α = 1, the (3+1)-dimensional space-time fractional mKdVZK model will be converted (3+1)-dimensional mKdVZK model. Using the variable separated ODE method, Al-Ghafri et. al [51] have explored Two case included twelve subcase that contains fifty-four solitons’ solutions. On the other hand, the new auxiliary equation method used to generate many wave solutions for the (3+1)-dimensional mKdVZK Model. Both methods have some common solutions shown in Table 1.

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Table 1. Comparison between attained solutions with Al-Ghafri et. al [51] solutions.

https://doi.org/10.1371/journal.pone.0306734.t001

In addition to these solutions, we gain forty-three new TWSs u1(ξ), u2(ξ), u5(ξ)−u7(ξ) and u9(ξ)−u46(ξ) in this article that are not mentioned in Al-Ghafri et. al [51].

In addition, Zafar et. al [53] have also explored twenty solitary wave solutions from the conformable time-fractional (3+1)-dimensional mKdVZK equation through three integration schemes included as exp(ξ) function scheme, hyperbolic function scheme, and modified kudryashov scheme. As opposed to generate many wave solutions from the stated equation by the mentioned method in this research. Both approaches share some potential solutions, which are compared and contrasted in Table 2.

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Table 2. Comparison between attained solutions with Zafar et. al [53] solutions.

https://doi.org/10.1371/journal.pone.0306734.t002

Apart from these solutions, further new forty-four new exact TWSs u1(ξ)−u8(ξ), u10(ξ) and u12(ξ)−u46(ξ) are established in this article that are not mentioned in Zafar et. al [53].

5.Conclusion

Through the use of the new auxiliary equation approach and the unified technique, we have achieved the exact and precise travelling wave soliton solutions for the (3+1)-dimensional mKdVZk model. Under certain scenarios, the travelling wave solutions can be expressed as rational, hyperbolic, and trigonometric functions. However, these techniques produce abundantly distinct free parametric values that depict geometrically kink-shaped soliton solutions, anti-kink-shaped solutions, bell-shaped soliton solutions, and periodic solutions. In addition, the reactions of various nonlinearities strengths, wave velocity, and other model factors are investigated. Several of the solutions found are completely fresh and have not been discussed in any of the previous research. To elucidate the attained outcomes, we have looked at surface, contour, and combined 2-D diagrams. For distinct numerical values of parameters, we demonstrated several 2-D graphs, and watching the graph makes it easy to observe the wave velocity. These extensive results can be helpful resources for investigators as they look at the geometrical structure and understand the system’s physical interpretation. The outcomes of other research studies that are currently available are compared with the findings of this work. The calculation is straightforward, yields more unique results than other techniques currently used, and has a wider range of applications due to decreased consistency and computational tasks. However, these methods fail to produce exact solutions for some fractional balance number models. To summarize, both the unified scheme and the NAE scheme are effective, compatible, and simple approaches for obtaining full wave solutions with a variety of free parameters, providing significant insights into wave profiles across varied contexts. These techniques yielded precise travelling wave soliton solutions, and they are strongly recommended for future research on nonlinear models, which hold significance in mathematical physics.

Acknowledgments

The authors would like to thank the editor of the journal and anonymous reviewers for their generous time in providing detailed comments and suggestions that helped us to improve the paper.

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