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ORIGINAL RESEARCH article

Front. Phys., 05 April 2024
Sec. Mathematical Physics
This article is part of the Research Topic Approximation Methods and Analytical Modeling Using Partial Differential Equations View all 21 articles

Mathematical frameworks for investigating fractional nonlinear coupled Korteweg-de Vries and Burger’s equations

Saima Noor,
Saima Noor1,2*Wedad AlbalawiWedad Albalawi3Rasool Shah
Rasool Shah4*M. Mossa Al-SawalhaM. Mossa Al-Sawalha5Sherif M. E. Ismaeel,Sherif M. E. Ismaeel6,7
  • 1Department of Basic Sciences, General Administration of Preparatory Year, King Faisal University, Al Ahsa, Saudi Arabia
  • 2Department of Mathematics and Statistics, College of Science, King Faisal University, Al Ahsa, Saudi Arabia
  • 3Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
  • 4Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon
  • 5Department of Mathematics, College of Science, University of Ha’il, Ha’il, Saudi Arabia
  • 6Department of Physics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
  • 7Department of Physics, Faculty of Science, Ain Shams University, Cairo, Egypt

This article utilizes the Aboodh residual power series and Aboodh transform iteration methods to address fractional nonlinear systems. Based on these techniques, a system is introduced to achieve approximate solutions of fractional nonlinear Korteweg-de Vries (KdV) equations and coupled Burger’s equations with initial conditions, which are developed by replacing some integer-order time derivatives by fractional derivatives. The fractional derivatives are described in the Caputo sense. As a result, the Aboodh residual power series and Aboodh transform iteration methods for integer-order partial differential equations may be easily used to generate explicit and numerical solutions to fractional partial differential equations. The results are determined as convergent series with easily computable components. The results of applying this process to the analyzed examples demonstrate that the new technique is very accurate and efficient.

1 Introduction

Fractional calculus (FC) extends classical integration and differentiation to fractional derivatives and integrals, respectively. New notions of integration and differentiation have been developed that combine fractional differentiation with fractal derivatives. These concepts are based on the convolution of a power law, an exponential law, and the unique Mittag–Leffler law with fractal integrals and derivatives. This field has seen advancements in applied science and technology, including control theory, biological processes, groundwater flow, electrical networks, viscoelasticity, geo-hydrology, finance, fusion, rheology, chaotic processes, fluid mechanics, and wave propagation in different physical mediums such as plasma physics. Recent interest in fractional partial differential equations (FPDEs) stems from their diverse applications in physics and engineering [14]. The FPDEs accurately explain a wide range of phenomena in electromagnetics, acoustics, viscoelasticity, electrochemistry, and material science. Furthermore, the FPDEs are effective in describing some physical phenomena such as damping laws, rheology, diffusion processes, and so on [5, 6]. In general, no approach produces a precise solution to some FPDEs. The majority of nonlinear FPDEs cannot be solved correctly. Hence, approximations and numerical approaches must be utilized [7, 8].

This allows for a better understanding of difficult physical processes, including chaotic structures with extended memory, anomalous transport, and many more [913]. New ways of computing, analyzing, and working with geometry are needed to fully grasp the complicated dynamics of first-order partial differential equations (FPDEs) [1418]. However, these efforts greatly improve scientific knowledge and technological advancement. The current work begins with a thorough evaluation of a specific type of fractional nonlinear partial differential equations, with the goal of obtaining solutions that explain the unique properties of these systems and demonstrate their fascinating complexity [19, 20].

The KdV-type equations and some other related equations with third-order dipersion can explain a wide range of different material science phenomena, such as plasma physics. These equations describe how nonlinear waves are created and propagated in nonlinear dispersive mediums. Korteweg and de Vries formulated the KdV equation to characterize shallow water waves with extended wavelengths and moderate amplitudes. Following its first application, the KdV equation has been expanded to span various physical domains, including collisionless hydromagnetic waves, plasma physics, stratified internal waves, and particle acoustic waves [2124]. Moreover, the family of KdV-type equations was also used to model many nonlinear phenomena that arise in different plasma systems and to study the properties of these phenomena, especially solitary waves, shock wave, cnoidal waves, in addition to rogue waves, when converting this family to the nonlinear Schrödinger equation [2541]. Moreover, El-Tantawy group presented several equations related to the KdV equation with third and/or fifth-order dispersive effect to describe many nonlinear waves in multiple plasma systems, and this group presented several methods for solving this family, whether analytical or approximate methods that give approximate analytical solutions. Furthermore, Various analytical and numerical techniques, including the Adomian decomposition transform method [42], Bernstein Laplace Adomian method [43], q-homotopy analysis transform method [44], and Homotopy perturbation Sumudu transform method [45].

The system of nonlinear KdV equations can be mathematically formulated using fractional derivatives as follows:

Dηpαζ,η3αζ,ηζ32βζ,ηαζ,ηζαζ,ηβζ,ηζ=0,(1)
Dηpβζ,ηαζ,ηαζ,ηζ=0, where 0<p1(2)

with the following initial conditions:

αζ,0=qζ,βζ,0=wζ.(3)

However, Burgers’ equations [4648] describe the nonlinear diffusion phenomenon using the most fundamental PDEs. Burgers’ equations find significant application in the domains of fluid mechanics, mathematical models of turbulence, and flow approximation in viscous fluids [49, 50]. Furthermore, Burger’s equation and some related equations have been utilized for modeling shock waves in various plasma models [5154]. Modeling scaled volume concentrations in fluid suspensions is the definition of a one-dimensional version of the coupled Burgers’ equations, which differs depending on whether sedimentation or evolution is occurring. Earlier works have provided additional details regarding coupled Burgers’ equations [55, 56]. Sugimoto [57] introduced for the first time the Burgers’ equation with a fractional derivative in light of the development of FC. In the subsequent decades, a number of authors [5868] have investigated fractional Burgers’ equation solutions utilizing approximate analytical methods.

The system of coupled nonlinear Burger’s equations can be mathematically formulated using fractional derivatives as follows:

Dηpαζ,η2αζ,ηζ22αζ,ηαζ,ηζ+βζ,ηαζ,ηζ+αζ,ηβζ,ηζ=0,(4)
Dηpβζ,η2βζ,ηζ22βζ,ηβζ,ηζ+βζ,ηαζ,ηζ+αζ,ηβζ,ηζ=0, where 0<p1.(5)

with the following initial conditions

αζ,0=vζ,βζ,0=mζ.(6)

In 2013 [69], Omar Abu Arqub established the RPSM. Being a semi-analytical approach, the RPSM combines Taylor’s series with the residual error function. Both linear and nonlinear differential equations may be solved using convergence series techniques. Fuzzy DE resolution constituted the initial application of RPSM in 2013. For the efficient identification of power series solutions to complex DEs, Arqub et al. [70] developed a novel set of RPSM algorithms. Furthermore, a novel RPSM approach for solving nonlinear boundary value problems of fractional order has been created by Arqub et al. [71]. El-Ajou et al. [72] introduced an innovative RPSM method for the estimation of solutions to KdV-burgers equations of fractional order. Fractional power series have been proposed as a potential method for solving Boussinesq DEs of the second and fourth orders (Xu et al. [73]). A successful numerical approach was devised by Zhang et al. [74], who integrated RPSM and least square algorithms [7577].

The most significant achievement of the 20th century about fractional PDEs was Aboodh’s transform iterative approach (NITM), developed by Aboodh. Because of their processing complexity and inability to converge, standard techniques are infamously useless for solving PDEs that incorporate fractional derivatives. Our distinctive technology surpasses these limitations by continually refining approximation solutions, reducing computational effort, and enhancing accuracy. The utilization of fractional derivative-specific iterations has resulted in improved solutions to intricate mathematical and physical problems [7880]. The development of systems governed by complex fractional partial differential equations has emerged in recent times, enabling the investigation of engineering, physics, and applied mathematics challenges that were previously unsolvable.

The Aboodh residual power series method (ARPSM) [81, 82], and Aboodh transform iterative method (NITM) [7880] are two fundamental approaches utilized in the resolution of fractional differential equations. These methodologies offer not only symbolic solutions in analytical terms that are readily accessible but also generate numerical approximations for linear and nonlinear differential equation solutions, obviating the necessity for discretization or linearization. The primary aim of this effort is to solve coupled Burger’s equations and the system of the KdV equations by employing two distinct methodologies, NITM and ARPSM. By combining these two techniques, numerous nonlinear fractional differential problems have been resolved.

2 Fundamental concepts

Definition 2.1. [83] The function α(ζ, η) is assumed to be of piecewise continuous and exponential order. In the case of τ ≥ 0, the Aboodh transform of α(ζ, η) is specified as follows:

Aαζ,η=Λζ,ϵ=1ϵ0αζ,ηeηϵdη,r1ϵr2.

Aboodh inverse transform is given as:

A1Λζ,ϵ=αζ,η=12πiuiu+iΛζ,ηϵeηϵdη

Where ζ=(ζ1,ζ2,,ζp)R and pN

Lemma 2.1. [84, 85] The expressions α1(ζ, η) and α2(ζ, η) represent functions of exponential order. On the interval 0,, they exhibit piecewise continuity. Consider the following: A[α1(ζ, η)] = Λ1(ζ, η), A[α2(ζ, η)] = Λ2(ζ, η) and λ1, λ2 are real numbers. These characteristics are therefore valid:

1. A[λ1α1(ζ, η) + λ2α2(ζ, η)] = λ1Λ1(ζ, ϵ) + λ2Λ2(ζ, η),

2. A−1[λ1Λ1(ζ, η) + λ2Λ2(ζ, η)] = λ1α1(ζ, ϵ) + λ2α2(ζ, η),

3. A[Jηpα(ζ,η)]=Λ(ζ,ϵ)ϵp,

4. A[Dηpα(ζ,η)]=ϵpΛ(ζ,ϵ)K=0r1αK(ζ,0)ϵKp+2,r1<pr,rN.

Definition 2.2. [86] The fractional Caputo derivative of the function α(ζ, η) with respect to order p is defined as

Dηpαζ,η=Jηmpαmζ,η,r0,m1<pm,

where ζ=(ζ1,ζ2,,ζp)Rp and m,pR,Jηmp is the Riemann–Liouville integral of α(ζ, η)

Definition 2.3. [87] The form of the power series is as follows.

r=0rζηη0rp=0ηη00+1ηη0p+2ηη02p+,

where ζ=(ζ1,ζ2,,ζp)Rp and pN. The term ”multiple fractional power series (MFPS) for η0 is used to refer to this type of series, in which the variable is η and the series coefficients r(ζ)′s.

Lemma 2.2. Assume that the exponential order function is denoted by α(ζ, η). A[α(ζ, η)] = Λ(ζ, ϵ) represents the definition of the Aboodh transform (AT) in this specific case. In light of this,

ADηrpαζ,η=ϵrpΛζ,ϵj=0r1ϵprj2Dηjpαζ,0,0<p1,(7)

where ζ=(ζ1,ζ2,,ζp)Rp and pN and Dηrp=Dηp.Dηp..Dηp(rtimes)

Proof. Induction method can be employed to illustrate Eq. 2. By substituting r = 1 in Eq. 2, the subsequent results occur:

ADη2pαζ,η=ϵ2pΛζ,ϵϵ2p2αζ,0ϵp2Dηpαζ,0

Lemma 2.1, part (4), proves the validity of Eq. 2 for the value of r = 1. By revising to use r = 2 in 2, we obtain

ADr2pαζ,η=ϵ2pΛζ,ϵϵ2p2αζ,0ϵp2Dηpαζ,0.(8)

We can determine Eq. 8 is:

L.H.S=ADη2pαζ,η.(9)

Eq. 9 can be represented as follows:

L.H.S=ADηpαζ,η.(10)

Assume that

zζ,η=Dηpαζ,η.(11)

Therefore, Eq. 10 may be expressed as

L.H.S=ADηpzζ,η.(12)

Eq. 12 is modified as a consequence of the use of the Caputo type fractional derivative.

L.H.S=AJ1pzζ,η.(13)

It is possible to obtain the following by using the R-L integral for the AT, which can be found in Eq. 13.

L.H.S=Azζ,ηϵ1p.(14)

Using characteristic of the AT, Eq. 14 is converted into the following form:

L.H.S=ϵpZζ,ϵzζ,0ϵ2p,(15)

As a result of Eq. 11, we obtain:

Zζ,ϵ=ϵpΛζ,ϵαζ,0ϵ2p,

where A[z(ζ, η)] = Z(ζ, ϵ). Therefore, Eq. 15 is converted to

L.H.S=ϵ2pΛζ,ϵαζ,0ϵ22pDηpαζ,0ϵ2p,(16)

Thus, Eq. 2 implies compatibility with Eq. 16. Assume that for r = K Eq. 2 holds. In Eq. 2, now put r = K.

ADηKpαζ,η=ϵKpΛζ,ϵj=0K1ϵpKj2DηjpDηjpαζ,0,0<p1.(17)

The next step is to prove Eq. 2 for the value of r = K + 1. We may write using Eq. 2 as a basis.

ADηK+1pαζ,η=ϵK+1pΛζ,ϵj=0KϵpK+1j2Dηjpαζ,0.(18)

From the analysis of Eq. 18, we get

L.H.S=ADηKpDηKp.(19)

Let consider

DηKp=gζ,η.

From Eq. 19, we have

L.H.S=ADηpgζ,η.(20)

R-L integral and the Caputo derivative is use to transform Eq. 20 into the subsequent expression.

L.H.S=ϵpADηKpαζ,ηgζ,0ϵ2p.(21)

Eq. 17 is unitized in order to get Eq. 21.

L.H.S=ϵrpΛζ,ϵj=0r1ϵprj2Dηjpαζ,0,(22)

In addition, the following outcome is obtained by using Eq. 22.

L.H.S=ADηrpαζ,0.

For r = K + 1, Eq. 2 holds. As a result, we demonstrated that Eq. 2 holds true for all positive integers using the mathematical induction technique.

To further illustrate Taylor’s formula, the following lemma is presented as an extension of the idea of multiple fractionals. This formula is going to be beneficial to the ARPSM, which will be discussed in further depth.

Lemma 2.3. Let us assume that α(ζ, η) has exponentially ordered behavior. The multiple fractional Taylor’s series representing the Aboodh transform of α(ζ, η) is A[α(ζ, η)] = Λ(ζ, ϵ).

Λζ,ϵ=r=0rζϵrp+2,ϵ>0,(23)

where, ζ=(s1,ζ2,,ζp)Rp,pN.

Proof. Considering the fractional Taylor’s series, we observe as

αζ,η=0ζ+1ζηpΓp+1++2ζη2pΓ2p+1+.(24)

We obtain the following equality by transforming Eq. 24 using the AT:

Aαζ,η=A0ζ+A1ζηpΓp+1+A1ζη2pΓ2p+1+

For this purpose, we make advantage of the properties of the AT.

Aαζ,η=0ζ1ϵ2+1ζΓp+1Γp+11ϵp+2+2ζΓ2p+1Γ2p+11ϵ2p+2

By using the Aboodh transform, we are able to get 23, which is an new version of Taylor’s series.

Lemma 2.4. For the function that is represented in the Taylor’s series 23, the MFPS representation needs to be defined as A[α(ζ, η)] = Λ(ζ, ϵ). Following that, we have

0ζ=limϵϵ2Λζ,ϵ=αζ,0.(25)

Proof. The succeeding is taken from the transformed version of Taylor’s series, which is as follows:

0ζ=ϵ2Λζ,ϵ1ζϵp2ζϵ2p(26)

By applying the limϵ to Eq. 25 and carrying out calculation, the desired outcome, which is represented by Eq. 26, may be achieved.

Theorem 2.5. Let us suppose that the function A[α(ζ, η)] = Λ(ζ, ϵ) has MFPS form given by

Λζ,ϵ=0rζϵrp+2,ϵ>0,

where ζ=(ζ1,ζ2,,ζp)Rp and pN. Then we have

rζ=Drrpαζ,0,

where, Dηrp=Dηp.Dηp..Dηp(rtimes).

Proof. We possess a new form of Taylor’s series.

1ζ=ϵp+2Λζ,ϵϵp0ζ2ζϵp3ζϵ2p(27)

By employing Eq. 27 and the limϵ, we can obtain

1ζ=limϵϵp+2Λζ,ϵϵp0ζlimϵ2ζϵplimϵ3ζϵ2p

The following equality is obtained by taking limit:

1ζ=limϵϵp+2Λζ,ϵϵp0ζ.(28)

The outcome obtained by applying Lemma 2.2 to Eq. 28 is as follows:

1ζ=limϵϵ2ADηpαζ,ηϵ.(29)

By applying Lemma 2.3 to Eq. 29, the equation is transformed into

1ζ=Dηpαζ,0.

Once again, assuming limit ϵ and consider the new formulation of Taylor’s series, we get the following result:

2ζ=ϵ2p+2Λζ,ϵϵ2p0ζϵp1ζ3ζϵp

Using Lemma 2.3, we get the following:

2ζ=limϵϵ2ϵ2pΛζ,ϵϵ2p20ζϵp21ζ.(30)

Lemmas 2.2 and 2.4 enable the transformation of Eq. 30 into

2ζ=Dη2pαζ,0.

The following outcomes are obtained when we use the same technique to the subsequent Taylor’s series:

3ζ=limϵϵ2ADη2pαζ,pϵ.

Lemma 2.4 may be used to get the final equation.

3ζ=Dη3pαζ,0.

So, in general

rζ=Dηrpαζ,0.

Thus, the proof comes to an end.

The next theorem establishes and goes into additional detail about the conditions that govern the convergence of the modified Taylor formula.

Theorem 2.6. The expression A[α(ζ, η)] = Λ(ζ, ϵ) represents the updated formula for multiple fractional Taylor’s, as stated in Lemma 2.3. The residual RK(ζ, ϵ) of the modified multiple fractional Taylor’s formula meets the following inequality if |ϵaA[Dη(K+1)pα(ζ,η)]0<p1 is related to | ≤ T, on 0 < ϵs:

|RKζ,ϵ|TϵK=1p+2,0<ϵs.

Proof. For r = 0, 1, 2, … , K + 1, A[Dηrpα(ζ,η)](ϵ) is defined on 0 < ϵs. Let, |ϵ2A[DηK+1α(ζ,tau)]|T,on0<ϵs. The following relationship should be determined based on the new version of Taylor’s series:

RKζ,ϵ=Λζ,ϵr=0Krζϵrp+2.(31)

For the transformation of Eq. 31, the application of Theorem 2.5 is necessary.

RKζ,ϵ=Λζ,ϵr=0KDηrpαζ,0ϵrp+2.(32)

ϵ(K+1)a+2 must be multiplied on both sides of Eq. 32.

ϵK+1p+2RKζ,ϵ=ϵ2ϵK+1pΛζ,ϵr=0KϵK+1rp2Dηrpαζ,0.(33)

Lemma 2.2 applied to Eq. 33 yields

ϵK+1p+2RKζ,ϵ=ϵ2ADηK+1pαζ,η.(34)

The expression 34 is converted to its absolute form.

|ϵK+1p+2RKζ,ϵ|=|ϵ2ADηK+1pαζ,η|.(35)

The result that is shown below is the outcome of applying the condition specified in Eq. 35.

TϵK+1p+2RKζ,ϵTϵK+1p+2.(36)

The necessary outcome may be obtained using Eq, 36.

|RKζ,ϵ|TϵK+1p+2.

Series convergence is therefore defined according to a new condition.

3 An outline of the propose methodology

3.1 The ARPSM method is used to solve time-fractional PDEs with variable coefficients

In this paper, we describe in detail the ARPSM rules that resolved our underlying model.

Step 1: Simplifying the general equation gives us.

Dηqpαζ,η+ϑζNαζζ,α=0,(37)

Step 2: Eq 37 are subjected to the AT to get

ADηqpαζ,η+ϑζNαζζ,α=0,(38)

By using Lemma 2.2, Eq. 38 is transformed into.

Λζ,s=j=0q1Dηjαζ,0sqp+2ϑζYssqp+Fζ,ssqp,(39)

where, A[ζ(ζ, α)] = F(ζ, s), A[N(α)] = Y(s).

Step 3: It is important to examine the form in which the solution to Eq. 39 is expressed:

Λζ,s=r=0rζsrp+2,s>0,

Step 4: You will be required to complete the following procedures to continue:

0ζ=limϵs2Λζ,s=αζ,0,

By applying Theorem 2.6, the subsequent results are obtained.

1ζ=Dηpαζ,0,
2ζ=Dη2pαζ,0,
wζ=Dηwpαζ,0,

Step 5: Following Kth truncation, obtain the Λ(ζ, s) series as follows:

ΛKζ,s=r=0Krζsrp+2,s>0,
ΛKζ,s=0ζs2+1ζsp+2++wζswp+2+r=w+1Krζsrp+2,

Step 6: To obtain the following, separately consider the Aboodh residual function (ARF) from 39 and the Kth-truncated Aboodh residual function:

AResζ,s=Λζ,sj=0q1Dηjαζ,0sjp+2+ϑζYssjpFζ,ssjp,

and

AResKζ,s=ΛKζ,sj=0q1Dηjαζ,0sjp+2+ϑζYssjpFζ,ssjp.(40)

Step 7: Replace the expansion form of ΛK(ζ, s) in Eq. 40.

AResKζ,s=0ζs2+1ζsp+2++wζswp+2+r=w+1Krζsrp+2j=0q1Dηjαζ,0sjp+2+ϑζYssjpFζ,ssjp.(41)

Step 8: Multiplying both sides of Eq. 41 by sKp+2 yields the solution.

sKp+2AResKζ,s=sKp+20ζs2+1ζsp+2++wζswp+2+r=w+1Krζsrp+2j=0q1Dηjαζ,0sjp+2+ϑζYssjpFζ,ssjp.(42)

Step 9: By evaluating both sides of Eq. 42 with regard to lims.

limϵsKp+2AResKζ,s=limϵsKp+20ζs2+1ζsp+2++wζswp+2+r=w+1Krζsrp+2j=0q1Dηjαζ,0sjp+2+ϑζYssjpFζ,ssjp).

Step 10: Solve the given equation to determine the value of K(ζ)

limϵsKp+2AResKζ,s=0,

where K = w + 1, w + 2, ⋯.

Step 11: Get the K-approximate solution of Eq. 39 by placing a K-truncated series of Λ(ζ, s) for the values of K(ζ).

Step 12: To get the K-approximate solution αK(ζ, η), take the inverse AT to solve ΛK(ζ, s).

3.2 Problem 1

Examine the following 1D system of 3rd-order nonlinear KdV equations:

Dηpαζ,η3αζ,ηζ32βζ,ηαζ,ηζαζ,ηβζ,ηζ=0,(43)
Dηpβζ,ηαζ,ηαζ,ηζ=0, where 0<p1(44)

with the initial conditions listed below:

αζ,0=tanhζ3,(45)
βζ,0=12tanh2ζ316,(46)

and exact solution

αζ,η=tanhζη3.(47)
βζ,η=12tanh2ζη316.(48)

After using Eqs 45, 46, we get by applying AT to Eqs 43, 44.

αζ,stanhζ3s21sp3αζ,sζ32spAηAη1βζ,s×Aη1αζ,sζ1spAηAη1αζ,s×Aη1βζ,sζ=0,(49)
βζ,s12tanh2ζ316s21spAηAη1αζ,s×Aη1αζ,sζ=0,(50)

The kth truncated term series is given as:

αζ,s=tanhζ3s2+r=1kfrζ,ssrp+1,r=1,2,3,4.(51)
βζ,s=12tanh2ζ316s2+r=1kgrζ,ssrp+1,r=1,2,3,4.(52)

The residual function (ARF) are

AηResζ,s=αζ,stanhζ3s21sp3αζ,sζ32spAηAη1βζ,s×Aη1αζ,sζ1spAηAη1αζ,s×Aη1βζ,sζ=0(53)
AηResζ,s=βζ,s12tanh2ζ316s21spAηAη1αζ,s×Aη1αζ,sζ=0(54)

and the kth-LRFs as:

AηReskζ,s=αkζ,stanhζ3s21sp3αkζ,sζ32spAηAη1βkζ,s×Aη1αkζ,sζ1spAηAη1αkζ,s×Aη1βkζ,sζ=0(55)
AηReskζ,s=βkζ,s12tanh2ζ316s21spAηAη1αkζ,s×Aη1αkζ,sζ=0(56)

fr(ζ, s) and gr(ζ, s) are obtained by multiplying the resulting equations by srp+1, substituting the rth-truncated series Eqs 51, 52 into the rth-residual functions Eqs 55, 56, and solving lims(srp+1AtResv,r(ζ, s)) = 0 and lims(srp+1AtResw,r(ζ, s)) = 0 for r = 1, 2, 3, ⋯ iteratively.

Listed below are the first few terms:

f1ζ,s=7cosh2ζ35sech4ζ363,g1ζ,s=tanhζ3sech2ζ33,(57)
f2ζ,s=1216297sinh3ζ+386sinhζ3+37sinh5ζ3×sech7ζ3,g2ζ,s=13662cosh2ζ3+7cosh4ζ3+51sech6ζ3.(58)

and so on.

For each r = 1, 2, 3, … , we put the values of fr(ζ, s) and gr(ζ, s) in Eqs 51 and 52, and obtain

αζ,s=7cosh2ζ35sech4ζ363sp+1tanhζ3s+297sinh3ζ+386sinhζ3+37sinh5ζ3sech7ζ3216s2p+1+.(59)
βζ,s=62cosh2ζ3+7cosh4ζ3+51sech6ζ336s2p+1+tanhζ3sech2ζ33sp+1+12tanh2ζ316s+.(60)

Utilizing the inverse AT, we get

αζ,η=37η2δsinh5ζ3sech7ζ3216Γ2δ+111η2δsinh3ζsech7ζ38Γ2δ+1+193η2δtanhζ3sech6ζ3108Γ2δ+15ηδsech4ζ363Γδ+1+7ηδcosh2ζ3sech4ζ363Γδ+1tanhζ3+.(61)
βζ,η=17η2δsech6ζ312Γ2δ+1+7η2δcosh4ζ3sech6ζ336Γ2δ+131η2δcosh2ζ3sech6ζ318Γ2δ+1+ηδtanhζ3sech2ζ33Γδ+112tanh2ζ316+.(62)

Figure 1 shows, (a) the ARPSM solution for p = 1, (b) exact solution, (c) different fractional order comparison of α(ζ, η) for η = 0.1 of problem 1. Figure 2 illustrates, (a) the ARPSM solution for p = 1, (b) exact solution, (c) different fractional order comparison of β(ζ, η) for η = 0.1. In Table 1, the ARPSM fractional solution for various order of p for η = 0.1 of problem 1 α(ζ, η) is analyzed. In Table 2, the ARPSM fractional solution for various order of p for η = 0.1 of problem 1 β(ζ, η) is analyzed.

Figure 1
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Figure 1. This figure shows, (A) the ARPSM solution for p = 1, (B) exact solution, (C) different fractional order comparison of α(ζ, η) for η = 0.1.

Figure 2
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Figure 2. This figure demonstrates: (A) the ARPSM solution for p = 1, (B) exact solution, (C) different fractional order comparison of β(ζ, η) for η = 0.1.

Table 1
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Table 1. The ARPSM fractional solution for various order of p for η = 0.1 of problem 1 α(ζ, η).

Table 2
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Table 2. The ARPSM fractional solution for various order of p for η =0.1 of problem 1 β(ζ, η).

3.3 Problem 2

Examine the system of homogeneous Burger’s equations as follows:

Dηpαζ,η2αζ,ηζ22αζ,ηαζ,ηζ+βζ,ηαζ,ηζ+αζ,ηβζ,ηζ=0,(63)
Dηpβζ,η2βζ,ηζ22βζ,ηβζ,ηζ+βζ,ηαζ,ηζ+αζ,ηβζ,ηζ=0, where 0<p1(64)

with the following initial conditions:

αζ,0=cosζ,(65)
βζ,0=cosζ,(66)

and exact solution

αζ,η=eηcosζ,(67)
βζ,η=eηcosζ.(68)

By applying Eqs 65, 66 and the AT on Eqs 63, 64, we are able to derive:

αζ,scosζs21sp2αζ,sζ22spAηAη1αζ,sAη1αζ,sζ+1spAηAη1βζ,sAη1αζ,sζ+1spAηAη1αζ,sAη1βζ,sζ=0,(69)
βζ,scosζs21sp2βζ,sζ22spAηAη1βζ,sAη1βζ,sζ+1spAηAη1βζ,sAη1αζ,sζ+1spAηAη1αζ,sAη1βζ,sζ=0,(70)

As a result, the following term series have been kth truncated:

αζ,s=cosζs2+r=1kfrζ,ssrp+1,r=1,2,3,4.(71)
βζ,s=cosζs2+r=1kgrζ,ssrp+1,r=1,2,3,4.(72)

The residual function are

AηResζ,s=αζ,scosζs21sp2αζ,sζ21spAηAη1αζ,sAη1αζ,sζ+1spAηAη1βζ,sAη1αζ,sζ+1spAηAη1αζ,sAη1βζ,sζ=0,(73)
AηResζ,s=βζ,ηcosζs21sp2βζ,sζ22spAηAη1βζ,sAη1βζ,sζ+1spAηAη1βζ,sAη1αζ,sζ+1spAηAη1αζ,sAη1βζ,sζ=0,(74)

and the kth-LRFs as:

AηReskζ,s=αkζ,scosζs21sp2αkζ,sζ21spAηAη1αkζ,sAη1αkζ,sζ+1spAηAη1βkζ,sAη1αkζ,sζ+1spAηAη1αkζ,sAη1βkζ,sζ=0,(75)
AηReskζ,s=βkζ,scosζs21sp2βkζ,sζ21spAηAη1βkζ,sAη1βkζ,sζ+1spAηAη1βkζ,sAη1αkζ,sζ+1spAηAη1αkζ,sAη1βkζ,sζ=0,(76)

To obtain fr(ζ, s) and gr(ζ, s), do the following procedures: The rth-truncated series from Eqs 71, 72 should be substituted into the rth-Aboodh residual function depicted in Eqs 75, 76, and the resultant equations should be multiplied by srp+1. The relations lims(srp+1AηResα, r(ζ, s)) = 0 and lims(srp+1AηResβ, r(ζ, s)) = 0 are then solved iteratively.in the case of r = 1, 2, 3, ⋯. Listed below are the first few terms:

f1ζ,s=cosζ,g1ζ,s=cosζ,(77)
f2ζ,s=cosζ,g2ζ,s=cosζ.(78)
f2ζ,s=cosζ,g2ζ,s=cosζ.(79)

and so on.For each r = 1, 2, 3, … , we put the values of fr(ζ, s) and gr(ζ, s) in Eqs 71 and 72, and obtain

αζ,s=cosζsp+1+cosζs2p+1cosζs3p+1+cosζs+.(80)
βζ,s=cosζsp+1+cosζs2p+1cosζs3p+1+cosζs+.(81)

Utilizing the inverse transform of Aboodh, we get

αζ,η=cosζ+cosζη2pΓ2p+1cosζη3pΓ3p+1cosζηpΓp+1+.(82)
βζ,η=cosζ+cosζη2pΓ2p+1cosζη3pΓ3p+1cosζηpΓp+1+.(83)
Figures 3A–C show comparative analysis of different fractional order p = 0.4, 0.6, 1.0 for α, β(ζ, η) at η = 0.1 respectively. The different fractional order graphs of two and three dimensional of problem 2 are introduced in Figure 4. In Table 3, we introduce an analysis for the ARPSM fractional solution for various p for η = 0.1 of problem 2 α(ζ, η) and β(ζ, η).
Figure 3
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Figure 3. (A–C) show comparative analysis of different fractional order p = 0.4, 0.6, 1.0 for α, β(ζ, η) at η = 0.1, respectively.

Figure 4
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Figure 4. Comparative analysis of fractional order p in (A) 3D graph and (B) 2D graph.

Table 3
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Table 3. The ARPSM fractional solution for various p for η =0.1 of problem 2 α(ζ, η) and β(ζ, η).

3.4 The Aboodh iterative transform Method’s concept

Our focus will be on a general space-time PDE of fractional order.

Dηpαζ,η=Φαζ,η,Dζηαζ,η,Dζ2ηαζ,η,Dζ3ηαζ,η,0<p,η1,(84)

With the following initial conditions:

αkζ,0=hk,k=0,1,2,,m1,(85)

Let Φα(ζ,η),Dζηα(ζ,η),Dζ2ηα(ζ,η),Dζ3ηα(ζ,η) be a nonlinear or linear operator of α(ζ,η)Dζηα(ζ,η),Dζ2ηα(ζ,η) and Dζ3ηα(ζ,η), and let α(ζ, η) be the assumed unknown function. The AT is applied to both sides of Eq. 84 to provide the following equation. α is used instead of α(ζ, η) for simplicity.

Aαζ,η=1spk=0m1αkζ,0s2p+k+AΦαζ,η,Dζηαζ,η,Dζ2ηαζ,η,Dζ3ηαζ,η,(86)

Aboodh inverse transform gives:

αζ,η=A11spk=0m1αkζ,0s2p+k+AΦαζ,η,Dζηαζ,η,×Dζ2ηαζ,η,Dζ3ηαζ,η.(87)

The solution through this method is represented as an infinite series.

αζ,η=i=0αi.(88)

Since Φα,Dζηα,Dζ2ηα,Dζ3ηα is either a nonlinear or linear operator which can be decomposed as follows:

Φα,Dζηα,Dζ2ηα,Dζ3ηα=Φα0,Dζηα0,Dζ2ηα0,Dζ3ηα0+i=0Φk=0i(αk,Dζηαk,Dζ2ηαk,Dζ3ηαk)Φk=1i1(αk,Dζηαk,Dζ2ηαk,Dζ3ηαk)).(89)

Eqs 88, 89 must be substituted into Eq. 87 in order to get the subsequent equation.

i=0αiζ,η=A11spk=0m1αkζ,0s2p+k+AΦα0,Dζηα0,Dζ2ηα0,Dζ3ηα0+A11spAi=0Φk=0iαk,Dζηαk,Dζ2ηαk,Dζ3ηαkA11spAΦk=1i1αk,Dζηαk,Dζ2ηαk,Dζ3ηαk(90)
α0ζ,η=A11spk=0m1αkζ,0s2p+k,α1ζ,η=A11spAΦα0,Dζηα0,Dζ2ηα0,Dζ3ηα0,αm+1ζ,η=A11spAi=0Φk=0iαk,Dζηαk,Dζ2ηαk,Dζ3ηαkA11spAΦk=1i1αk,Dζηαk,Dζ2ηαk,Dζ3ηαk,m=1,2,.(91)

The m-terms approximate solution to Eq. 84 is given as:

αζ,η=i=0m1αi.(92)

3.4.1 Solution of the problem via NITM

3.4.1.1 Problem 1
Dηpαζ,η=3αζ,ηζ3+2βζ,ηαζ,ηζ+αζ,ηβζ,ηζ,(93)
Dηpβζ,η=αζ,ηαζ,ηζ, where 0<p1(94)

with the following initial conditions:

αζ,0=tanhζ3.(95)
βζ,0=12tanh2ζ316.(96)

Both sides of Eqs 93, 94 is evaluated using AT, the following equations are produced as a result:

ADηpαζ,η=1sp(k=0m1αkζ,0s2p+k+A[3αζ,ηζ3+2βζ,ηαζ,ηζ+αζ,ηβζ,ηζ])(97)
ADηpβζ,η=1spk=0m1βkζ,0s2p+k+Aαζ,ηαζ,ηζ(98)

For Eqs 97, 98, the application of the inverse AT results in the following equations:

αζ,η=A1[1sp(k=0m1αkζ,0s2p+k+A[3αζ,ηζ3+2βζ,ηαζ,ηζ+αζ,ηβζ,ηζ])](99)
βζ,η=A11spk=0m1βkζ,0s2p+k+Aαζ,ηαζ,ηζ(100)

Utilizing the AT in an iterative manner results in the extraction of the following equation:

α0ζ,η=A11spk=0m1αkζ,0s2p+k=A1αζ,0s2=tanhζ3,
β0ζ,η=A11spk=0m1βkζ,0s2p+k=A1βζ,0s2=12tanh2ζ316,

By applying the RL integral to Eqs 93, 94, we perform the objective of obtaining the equivalent form.

αζ,η=tanhζ3+A3αζ,ηζ3+2βζ,ηαζ,ηζ+αζ,ηβζ,ηζ(101)
βζ,η=12tanh2ζ316+Aαζ,ηαζ,ηζ(102)

The following few terms are produced by the NITM method.

α0ζ,η=tanhζ3,β0ζ,η=12tanh2ζ316,α1ζ,η=sech2ζ3ηp3Γp+1,β1ζ,η=tanhζ3sech2ζ3ηp3Γp+1,α2ζ,η=19sech4ζ3η2p(3π4p7sech2ζ36ηpΓp+12Γp+1Γ3p+1+3cosh2ζ3Γ2p+1),β2ζ,η=118sech5ζ3η2p×3cosh3ζ3coshζ3Γ2p+13π4p+1coshζ3ηpΓp+12Γp+1Γ3p+1.(103)

The final solution through NITM algorithm is presented in the following manner:

αζ,η=α0ζ,η+α1ζ,η+α2ζ,η+.(104)
βζ,η=β0ζ,η+β1ζ,η+β2ζ,η+.(105)
vζ,t=tanhζ3+sech2ζ3ηp3Γp+1+19sech4ζ3η2p3π4p7sech2ζ36ηpΓp+12Γp+1Γ3p+1+3cosh2ζ3Γ2p+1+.(106)
wζ,t=12tanh2ζ316+tanhζ3sech2ζ3ηp3Γp+1+118sech5ζ3η2p3cosh3ζ3coshζ3Γ2p+13π4p+1coshζ3ηpΓp+12Γp+1Γ3p+1+.(107)

Figure 5 illustrates, (a) the NITM solution for p = 1, (b) exact solution, (c) different fractional order comparison of α(ζ, η) for η = 0.1. Figure 6 demonstrates, (a) the NITM solution for p = 1, (b) exact solution, (c) different fractional order comparison of β(ζ, η) for η = 0.1. In Table 4 the NITM fractional solution for various order p for η = 0.1 of problem 1 is analyzed. In Table 5, the NITM fractional solution for various order p for η = 0.1 of problem 1 is analyzed.

Figure 5
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Figure 5. In figure, (A) shows NITM solution for p = 1, (B) shows exact solution, (C) shows different fractional order comparison of α(ζ, η) for η = 0.1.

Figure 6
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Figure 6. In figure, (A) shows NITM solution for p = 1, (B) shows exact solution, (C) shows different fractional order comparison of β(ζ, η) for η = 0.1.

Table 4
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Table 4. The NITM fractional solution for various order p for η = 0.1 of problem 1 α(ζ, η).

Table 5
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Table 5. The NITM fractional solution for various order p for η = 0.1 of problem 1 β(ζ, η).

3.4.1.2 Problem 2
Dηpαζ,η=2αζ,ηζ2+2αζ,ηαζ,ηζβζ,ηαζ,ηζαζ,ηβζ,ηζ,(108)
Dηpβζ,η=2βζ,ηζ2+2βζ,ηβζ,ηζβζ,ηαζ,ηζαζ,ηβζ,ηζ, where 0<p1(109)

with the following initial conditions:

αζ,0=cosζ,(110)
βζ,0=cosζ,(111)

Both sides of Eqs 108, 109 is evaluated using AT, the following equations are produced as a result:

ADηpαζ,η=1spk=0m1αkζ,0s2p+k+A2αζ,ηζ2+2αζ,ηαζ,ηζβζ,ηαζ,ηζαζ,ηβζ,ηζ(112)
ADηpβζ,η=1spk=0m1βkζ,0s2p+k+A2βζ,ηζ2+2βζ,ηβζ,ηζβζ,ηαζ,ηζαζ,ηβζ,ηζ(113)

For Eqs 112, 113, the application of the inverse AT results in the following equations:

αζ,η=A11spk=0m1αkζ,0s2p+k+A2αζ,ηζ2+2αζ,ηαζ,ηζβζ,ηαζ,ηζαζ,ηβζ,ηζ(114)
βζ,η=A11spk=0m1βkζ,0s2p+k+A2βζ,ηζ2+2βζ,ηβζ,ηζβζ,ηαζ,ηζαζ,ηβζ,ηζ(115)

Utilizing the AT in an iterative manner results in the extraction of the following equation:

α0ζ,η=A11spk=0m1αkζ,0s2p+k=A1αζ,0s2=cosζ,
β0ζ,η=A11spk=0m1βkζ,0s2p+k=A1βζ,0s2=cosζ,

By applying the RL integral to Eqs 108, 109, we perform the objective of obtaining the equivalent form.

αζ,η=cosζ+A[2αζ,ηζ2+2αζ,ηαζ,ηζβζ,ηαζ,ηζαζ,ηβζ,ηζ](116)
βζ,η=cosζ+A[2βζ,ηζ2+2βζ,ηβζ,ηζβζ,ηαζ,ηζαζ,ηβζ,ηζ](117)

The following few terms are produced by the NITM method.

α0ζ,η=cosζ,β0ζ,η=cosζ,α1ζ,η=ηpcosζΓp+1,β1ζ,η=ηpcosζΓp+1,α2ζ,η=η2pcosζΓ2p+1,β2ζ,η=η2pcosζΓ2p+1.α3ζ,η=η3pcosζΓ3p+1,β3ζ,η=η3pcosζΓ3p+1.(118)

The final solution through NITM algorithm is presented in the following manner:

αζ,η=α0ζ,η+α1ζ,η+α2ζ,η+.(119)
βζ,η=β0ζ,η+β1ζ,η+β2ζ,η+.(120)
αζ,t=cosζ+cosζη2pΓ2p+1cosζη3pΓ3p+1cosζηpΓp+1+.(121)
βζ,t=cosζ+cosζη2pΓ2p+1cosζη3pΓ3p+1cosζηpΓp+1+.(122)

Figures 7A–C show comparative analysis of different fractional order p = 0.4, 0.6, 1.0 for α, β(ζ, η) at η = 0.1, respectively. The two and three dimensional graphs of different fractional order p of problem 2 are introduced in Figure 8. Table 6, the NITM fractional solution for various order of p for η = 0.1 of problem 2 α(ζ, η) and β(ζ, η). Table 7, comparative analysis of example 1 solution through NITM and ARPSM of α(ζ, η) for η = 0.1 and p = 1. Table 8, comparative analysis of example 1 solution through NITM and ARPSM of β(ζ, η) for η = 0.1 and p = 1. Table 9, comparative analysis of example 2 solution through NITM and ARPSM of α(ζ, η) and β(ζ, η) for η = 0.1 and p = 1.

Figure 7
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Figure 7. In figure, (A–C) shows comparative analysis of different fractional order p = 0.4, 0.6, 1.0 for α, β(ζ, η) at η = 0.1 respectively.

Figure 8
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Figure 8. Comparative analysis of fractional order p in (A) 3D graph and (B) 2D graph.

Table 6
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Table 6. The NITM fractional solution for various order of p for η = 0.1 of problem 2 α(ζ, η) and β(ζ, η).

Table 7
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Table 7. Comparative analysis of example 1 solution through NITM and ARPSM of α(ζ, η) for η = 0.1 and p = 1.

Table 8
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Table 8. Comparative analysis of example 1 solution through NITM and ARPSM of β(ζ, η) for η = 0.1 and p = 1.

Table 9
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Table 9. Comparative analysis of example 2 solution through NITM and ARPSM of α(ζ, η) and β(ζ, η) for η = 0.1 and p = 1.

4 Conclusion

In conclusion, this study has examined the intricate dynamics of a system governed by nonlinear Korteweg-de Vries (KdV) equations and coupled Burger’s equations. Through the application of advanced mathematical tools, specifically the Aboodh transform iteration method (ATIM) and the Aboodh residual power series method (ARPSM), we have successfully obtained accurate solutions for this complex nonlinear system. The inclusion of the Caputo operator highlights the importance of fractional calculus in describing the system’s behavior. The results obtained through these methods contribute valuable insights into the understanding of the coupled equations’ dynamics. This research not only enhances our knowledge of mathematical modeling but also showcases the efficacy of the applied methods in analyzing intricate nonlinear systems. The findings pave the way for further exploration and applications in diverse scientific domains.

Future work: The methods used in this study can be utilized to investigate how the fractional parameter influences the characteristics of rogue waves and breathers in various plasma systems by solving a nonlinear Schrodinger equation and related evolution equations.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

SN: Formal Analysis, Investigation, Writing–original draft. WA: Software, Supervision, Validation, Writing–review and editing. RS: Conceptualization, Data curation, Methodology, Writing–review and editing. MA-S: Project administration, Supervision, Visualization, Software, Writing–review and editing. SI: Investigation, Project administration, Supervision, Visualization, Writing–review and editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors express their gratitude to Princess Nourah bint Abdulrahman University Researchers Supporting Project Number (PNURSP2024R157), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia (Grant No. 5952).

Acknowledgments

The authors express their gratitude to Princess Nourah bint Abdulrahman University Researchers Supporting Project Number (PNURSP2024R157), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia (Grant No. 5952).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Keywords: fractional calculus, system of partial differential equation, Caputo derivative, integral transform, burgers equation, KdV equation and approximate solution

Citation: Noor S, Albalawi W, Shah R, Al-Sawalha MM and Ismaeel SME (2024) Mathematical frameworks for investigating fractional nonlinear coupled Korteweg-de Vries and Burger’s equations. Front. Phys. 12:1374452. doi: 10.3389/fphy.2024.1374452

Received: 22 January 2024; Accepted: 26 February 2024;
Published: 05 April 2024.

Edited by:

Kateryna Buryachenko, Humboldt University of Berlin, Germany

Reviewed by:

Ahmad Qazza, Zarqa University, Jordan
Yusif Gasimov, Azerbaijan University, Azerbaijan

Copyright © 2024 Noor, Albalawi, Shah, Al-Sawalha and Ismaeel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rasool Shah, cmFzb29sLnNoYWhAbGF1LmVkdS5sYg==; Saima Noor, c25vb3JAa2Z1LmVkdS5zYQ==

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