Volume 2022, Issue 1 5746130
Research Article
Open Access

Fractional-View Analysis of Jaulent-Miodek Equation via Novel Analytical Techniques

Ahmad Haji Zadeh

Ahmad Haji Zadeh

Department of Mathematics and Statistics, Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Malaysia uthm.edu.my

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Kavikumar Jacob

Corresponding Author

Kavikumar Jacob

Department of Mathematics and Statistics, Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Malaysia uthm.edu.my

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Nehad Ali Shah

Nehad Ali Shah

Department of Mechanical Engineering, Sejong University, Seoul 05006, Republic of Korea sejong.ac.kr

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Jae Dong Chung

Jae Dong Chung

Department of Mechanical Engineering, Sejong University, Seoul 05006, Republic of Korea sejong.ac.kr

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First published: 10 May 2022
Academic Editor: Reny George

Abstract

In this article, we analyze the analytical result of fractional-order Jaulent-Miodek equations with the help of two novel methods, namely, ρ-Laplace decomposition method and ρ-Laplace variational iteration method. The achieved results are shown in a series form, which is rapidly converging. The approximate simulations were performed in absolute error to ensure that the suggested methods are accurate and reliable. The achieved results are graphically presented to confirm the validity and accuracy of the techniques. The study results reveal that the ρ-Laplace decomposition method is computationally very effective and accurate compared to ρ-Laplace variational iteration method to analyze the nonlinear system of fractional-order Jaulent-Miodek equations.

1. Introduction

Jaulent and Miodek developed the Jaulent-Miodek equation in 1979 as an extension to energy-dependent potentials [1, 2]. The JM equation was developed in many related fields of physics, optics [3], condensed matter physics [4], plasma physics [5], and including fluid mechanics [6]. The purpose of this research is to investigate the approximate results for arbitrary order of the following anomalous and difficult physical model,
(1)

The nonlinear system JM equation has been analyzed in past years by several researchers through different methods like homotopy perturbation transform method [7], optimal homotopy asymptotic method and Hermite wavelets [8], invariant subspace technique [9], and others [1012].

Systems of nonlinear partial differential equation [1317] appear in a variety of scientific physical models. The classical Jaulent-Miodek equations have been the subject of extensive investigation in recent years. Several techniques such as suitable algebraic technique [18], Adomian decomposition technique [19], tanh-sech technique [20], homotopy perturbation technique [21], Exp-function technique [22], and homotopy analysis technique [23] had been applied for solving of the system of Jaulent-Miodek equations. But the complete evaluation of the nonlinear fractional-order combined with the Jaulent-Miodek equation is only an initiation by the available information.

Abdeljawad and Jarad [24] recently developed the Laplace transform of the fractional-order Caputo derivatives. We proposed a new iterative technique based on the ρ-Laplace transformation to study fractional-order ordinary and partial differential equations with fractional-order Caputo derivatives. This novel proposed method is used to solve numerous fractional-order differential equations, including linear and nonlinear diffusion equations, fractional-order Fokker-Planck equations, and Zakharov-Kuznetsov equations [2527]. Adomian, an American mathematician, introduced the Adomian decomposition method. It concentrates on obtaining series-like solutions and decomposing the nonlinear operator into a sequence, with the terms currently obtained using Adomian polynomials [2831]. The ρ-Laplace transform is used to modify this procedure, resulting in the ρ-Laplace decomposition method. This method is applied to the nonhomogeneous fractional differential equations [3234]. He [35, 36] was the first to introduce the variational iteration method (VIM), which was successfully applied to autonomous ordinary differential equations in [37], nonlinear polycrystal line solids in [38], and other fields. The variational iteration method is modified with the help of ρ-Laplace transform, known as ρ-Laplace variational iteration method. Different types of ODEs and PDEs have been analyzed with the aid of the variational iteration method. For instance, this method is investigated for solving fractional differential equations in [37]. In [38], this method is used to solve nonlinear oscillator equations. Compared to the Adomians decomposition method, variational iteration transforms approach solving without the need to compute Adomian’s polynomials. The [39] mesh point procedures provide an analytical solution, whereas this scheme provides a fast response to the equation [4042]. This technique can also be used to approximate accurate results.

This article has applied the ρ-Laplace decomposition method and ρ-Laplace variational iteration method to solve the fractional coupled Jaulent-Miodek equation with the Caputo fractional derivative operator. The analytical results attained via the ρ-Laplace decomposition method were compared with exact results and those derived by using the ρ-Laplace variational iteration method in case of fractional order.

2. Basic Preliminaries

2.1. Definition

The fractional-order generalized integral ϑ of a continuous function f : [0, +∞]⟶R is given as [24]
(2)
the gamma function is defined by Γ, ρ > 0, ε > 0, and 0 < ϑ < 1.

2.2. Definition

The fractional-order generalized derivative of ϑ of a continuous function g : [0, +∞]⟶R is defined as [24]
(3)
where expressed the gamma function Γ, ρ > 0, ε > 0, and 0 < ϑ < 1.

2.3. Definition

The fractional-order Caputo derivative ϑ of a continuous function g : [0, +∞]⟶R is defined as [24]
(4)
where ρ > 0, ε > 0, ϑ = ε1−ϑd/dε and 0 < ϑ < 1.

2.4. Definition

The ρ-Laplace transform of a continuous function g : [0, +∞]⟶R is given as [24]
(5)
The fractional-order Caputo generalized ρ-Laplace transformation derivative of a continuous function g is given by [24]
(6)

2.5. Definition

The generalized Mittag-Leffler function is defined by
(7)
where ϑ > 0, β > 0, and Eϑ(z) = Eϑ,1(z).

3. The Methodology of ρ-Laplace Decomposition Method

In this section, the ρ-Laplace decomposition method solution system for fractional partial differential fractional equations.
(8)
with initial conditions
(9)

where is the Caputo fractional derivative of order ϑ, , , and , are linear and nonlinear functions, respectively, and and are source operators.

The ρ-Laplace transformation is applied to Eq. (8), we have
(10)
Using the ρ-Laplace transform differentiation property, we get
(11)
ρ-LDM defines the result of infinite series and ,
(12)
Adomian polynomial decomposition of nonlinear terms of and is described as
(13)
All forms of nonlinearity the Adomian polynomials can be represented as
(14)
Putting equations (12) and (14) into equation (11) gives
(15)
(16)
Using the inverse ρ-Laplace transform of equation (15), we get
(17)
(18)
we define the following terms,
(19)
(20)
the general for κ ≥ 1 is given by
(21)

4. The Producer of ρ-LVITM

In this section, explain the ρ-Laplace variational iteration method of the solution of FPDEs.
(22)
with initial conditions
(23)
where is the Caputo fractional derivative of order ϑ, , and , are linear and nonlinear functions, respectively, and , are source operators.
The ρ-Laplace transformation is applied to Eq. (22),
(24)
Using the differentiation property ρ-Laplace transform, we get
(25)
The procedure iteration method is defined as
(26)
(27)
A Lagrange multiplier as
(28)
the inverse ρ-Laplace transformation L−1, the iteration method Eq. (26) can be given as
(29)
the initial iteration can be find as
(30)

5. Implementation of Techniques

5.1. Problem

Consider the fractional-order non-linear Jaulent-Miodek equation is given as
(31)
(32)
With initial conditions
(33)
(34)
Taking ρ-Laplace transform of (31),
(35)
(36)
Using inverse ρ-Laplace transformation, we get
(37)
(38)
Applying Adomian procedure, we have
(39)
(40)
(41)
(42)

The nonlinear terms find with the help of Adomain polynomials

For κ = 1
(43)
for κ = 2
(44)
for κ = 2
(45)
(46)
The ρ-LDM solution of Example 1 is
(47)
(48)
(49)

The approximate solution by ρ-LVIM.

Apply the iteration technique, we have
(50)
(51)
where
(52)
For κ = 0, 1, 2, ⋯
(53)
(54)
(55)
(56)
(57)
(58)
(59)
(60)
(61)
(62)
(63)
(64)
(65)
(66)
The exact solution of equation (8) at ϑ = 1,
(67)

In Figure 1, the first figure shows the ρ-Laplace decomposition method and ρ-Laplace variational transform method and exact solutions graphs of the given problem at and . From the given graphs, it can be observed that both the exact, ρ-Laplace decomposition method, and ρ-Laplace variational transform method solution are in strong agreement with each other. In Figure 2, the exact and approximate solution of at ϑ = 1. Figure 3, different fractional-order of ϑ = 0.8 and 0.6 of the model. Similarly, in Figure 4, the exact and approximate solution of at ϑ = 1. Figure 5, different fractional-order of ϑ = 0.8 and 0.6 of the model. It is investigated that results of fractional-order problem are convergent to an integer-order result as fractional-order analysis to integer-order. The same phenomenon of convergence of fractional-order solutions towards integral-order solutions is observed.

Details are in the caption following the image
Exact and approximate solution of and at ϑ = 1.
Details are in the caption following the image
Exact and approximate solution of at ϑ = 1.
Details are in the caption following the image
The different fractional-order of ϑ = 0.8 and 0.6 of the model.
Details are in the caption following the image
Exact and approximate solution of at ϑ = 1.
Details are in the caption following the image
The different fractional-order of ϑ = 0.8 and 0.6 of the model.

6. Conclusion

In this paper, two analytical methods are applied to solve fractional-order nonlinear Jaulent-Miodek equation. The analytical results of the equations are calculated to show the reliability and validity of the suggested techniques. Figures of the results are plotted to show the closed contact between the achieved and exact solutions. Moreover, the proposed methods provide easily computable components for the series-form solutions. It has been discovered that the results obtained in series form have a better rate of convergence to the exact solutions. Finally, the proposed strategies are found to be a sophisticated strategy for solving various fractional-order nonlinear partial differential equations.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this article.

Authors’ Contributions

Ahmad Haji Zadeh and Nehad Ali Shah contributed equally to this work and are the co-first authors.

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. 2017R1D1A1B05030422).

    Data Availability

    The numerical data used to support the findings of this study are included within the article.

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