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ORIGINAL RESEARCH article

Front. Phys., 20 June 2022
Sec. Statistical and Computational Physics

A New Modified Analytical Approach for the Solution of Time-Fractional Convection–Diffusion Equations With Variable Coefficients

Hassan Khan,Hassan Khan1,2Poom Kumam,
Poom Kumam3,4* Hajira Hajira1Qasim KhanQasim Khan1Fairouz TchierFairouz Tchier5Kanokwan SitthithakerngkietKanokwan Sitthithakerngkiet6Ioannis DassiosIoannis Dassios7
  • 1Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, Pakistan
  • 2Department of Mathematics, Near East University TRNC, Mersin, Turkey
  • 3Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
  • 4Department of Mathematics, Taiwan Theoretical and Computational Science (TaCS) Center, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand
  • 5Department of Mathematics, College of Science, King Saud University, Riyadh, Saudi Arabia
  • 6Department of Mathematics, Intelligent and Nonlinear Dynamic Innovations Research Center, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand
  • 7University College Dublin, Dublin, Ireland

In this article, a new modification of the Adomian decomposition method is performed for the solution fractional order convection–diffusion equation with variable coefficient and initial–boundary conditions. The solutions of the suggested problems are calculated for both fractional and integer orders of the problems. The series of solutions of the problems with variable coefficients have been provided for the first time. To verify and illustrate our new technique, four numerical examples are presented and solved by using the proposed technique. The derived results are plotted, and the dynamics are shown for both fractional and integer orders of the problems. An excellent variation among the solutions at various fractional orders is observed. It is analyzed that the new technique based on the Adomian decomposition method is accurate and effective. The present method fits both the initial and boundary conditions with double approximations simultaneously, which increases the accuracy of the present method. For the first time, the present technique is used for the solutions of the problems with variable coefficients along with initial and boundary conditions. It is therefore suggested to apply the present procedure for the solutions of other problems with variable order and coefficients along with initial and boundary conditions.

1 Introduction

Fractional Calculus (FC) is the branch of mathematics that focuses on the study of fractional-order operators and their applications in mathematical theory, which is the expansion of the basic classical concept in calculus and has attracted the attention of many researchers in the last few decades. FC has useful applications in numerous fields of physical and numerical sciences, such as relaxation processes, diffusion, visco-elasticity, hydrology, biomedical engineering, electro-chemistry, relaxation vibration, finance, probability, seismology, and so on [15]. Other FC applications include earthquake’s oscillations modeling [6], statistical and mechanic continuum [7], control theory [8], engineering and physics [9, 10], entropy [11], image processing [10], field theories, optimal control, classical and quantum mechanics [12, 13], chaos theory [14], fractional diabetes model [15], and human diseases [16]. The main contribution to the development of (FC) includes Podlubny et al. [17]; Miller and Ross [18]; Oldham and Spanier [19]; and Kilbas and Trujillo [20].

A well-known fact about fractional-order partial differential equations (FPDESs) is that they are involved in many natural and physical phenomena. Many researchers have attracted towards them due to the wonderful applications in various fields especially anomalous diffusion, dielectric polarization, relaxation vibration, scattering, system identification, fluid flow, mathematical physics [21], psychology, and acoustics [22].

Over the last 10 years, attempts were made to find robust analytical and numerical techniques to solve (FPDES). Some of them are the homotopy analysis method [23], the wavelet operational method [24, 25], the Legendre-based method [26], the fractional recti sub-equation method [27], the generalized fractional Taylor series method [28], the Laplace Adomian decomposition method [29], the fractional wavelet method [30], the Adomian decomposition method [31], the discrete Adomian decomposition method [32], the Mohand decomposition method [33], the Wlash function method [34], the Chebyshev spectral approximation [35], the wavelet optimization method [36], the solitary ansatz method [37], the multiple exp-function method [38], the Hirotas direct method [39], the Laplace transform decomposition method [40], the natural transform decomposition method [41], and so on. The time-fractional convection–diffusion equations (CDESs) have been conventional used in the mathematical models of computations and simulations, such as the transport of energy and mass, oil reservoir simulations, flow of heat, particles, dispersion of chemicals in reactors, and global weather prediction [42, 43]. Time-fractional CDEs are operated in the abnormal diffusion processes related to time.

Several research work have been done on the Adomian decomposition method (ADM), such as Wazwaz A.M. [44] used it to solve linear and non-linear operators, initial-value problems solved by Abdelrazec and Pelinovsky [45] and Ray and Bera [46] applied it to the differential equations. Hashim [47] applied it to the boundary-value problems, fractional differential equations solved by Hu and Luo [45], Duan J.S. applied to the boundary-value problems [48], Song and Wang [49] solved fractional differential equations, initial value problems solved by Wu [50] and Almazmumy et al. [51]. Patel et al. applied the ADM sumudu transform method in [52, 53] and the fractional reduced differential transform method in [54, 55]. For the convergence of ADM, see [56, 57]. Fatoorehchi et al. solved explicit Frost–Kalkwarf type equations by ADM [58]. The one thing about all the above appreciable work is that ADM is used either with initial or only boundary conditions. Furthermore, a new modification is generated in ADM by Ali in [31, 59] for initial–boundary problems. He used the same new technique in [60] with the variation iteration method, and the results are good. We extend his work by applying it to fractional order problems. This procedure gives accuracy because we construct a new initial approximate for each iteration. Abdelrazec et al. have provided a comprehensive study on the convergence of ADM for initial value problems in [61]. Similarly, Aminataei et al. have done the stability of ADM with other methods in [62].

In the present work, time-fractional CDEs with variable coefficients are considered as follows:

γuζ,ttγ+cζuζ,tζ+dζ2uζ,tζ2=κζ,0<ζ<1,0<t1,

with the initial conditions

uζ,0=fζ,0<ζ<1,

and the boundary conditions

u0,t=g0t,u1,t=g1t0<t1,

where c(ζ), d(ζ) ≠ 0 are continuous functions and 0 < γ < 1. The fractional derivative is in the Caputo sense.

Many techniques have been used to obtain the solutions of time-fractional CDEs such as the Gegenbauer spectral method [63], the Sinc–Legendre collocation method [64], the Bernstein polynomials method [65], the flatlet oblique multi wavelets [66], and the improved differential transform method [67]. Marjan et al. applied the radial basis interpolation method to compute the solution of this equation with constant coefficients [68]. Luo et al. computed the equation by the quadratic spline collocation method with constant coefficient and without convection [69]. In [70], Pirkhedri and Javadi computed the equations with variable coefficient by the collocation approach.

In this article, we have investigated the analytical solutions of various time-fractional CDEs by using a new technique of the Adomian decomposition method (ADM). In the year 1980, Adomian had developed an effective technique, called ADM to solve differential equations involved in physical phenomena [71]. Later on, some short coming related to ADM, the researchers have modified ADM and construct some effective tools for the solutions of various fractional partial differential equations and their systems. Generally, many techniques are not efficient for the solutions of fractional initial and boundary conditions together. However, in this work, the solutions of initial and boundary value problems related to time-fractional CDEs are obtained by using a new technique of ADM. The obtained solutions are represented through graphs and tables. The 2D and 3D graphs have confirmed a closed contact between the exact and new version of ADM results. The fractional-order solutions represent the valuable dynamics of the suggested problems. The solution convergence of the fractional solutions towards integer-order solutions confirmed the validity of the suggested method. The present method is simple and required fewer calculations and therefore can be extended for the solutions of other higher non-linear fractional PDEs and their systems.

2 Preliminaries

In this section, a few definitions related to our work are taken into consideration.

2.1 Definition

The expression for the Caputo derivative of fractional order γ is as follows:

Dγhζ=γhζtγ=Ipγγhζtγ,p1<γp,γhζtγ,

where pN, ζ > 0, gCt, and t ≥ 1.

2.2 Definition

The Reimann–Liouville integral operator having order γ is given by [72]

Iζγhζ=1Γγ0ζζνγ1dν,γ>0,hζ,γ=0,

where Γ denotes the gamma function and can be written as

Γω=0eζζω1dζ,ωC.

2.3 Lemma

For p − 1 < γp with pN and hCt with t ≥ −1, then [73].

IγIb=Iγ+bhζ,b,γ0,Iγζλ=Γλ+1Γγ+λ+1ζγ+λ,γ>0,λ>1,IγDγhζ=hζk=0p1hk0+ζkk!,

where ζ > 0 and p − 1 < γp.

2.4 Definition

The Mittag-Leffler function Eγ(ρ) for γ > 0 is [74]

Eγρ=n=0ρnnγ+1,γ>0,ρC.

3 Adomian Decomposition Method

This method was discovered by Adomian for the solution of linear and nonlinear differential and integro-differential equations. To understand about the method, consider the following equation [31]:

Fuζ=gζ,(1)

where g is the known function and F (u(x)) is the differential operator, which can be decomposed as follows:

Fuζ=Lu+Ru+Nu,

where L is the invertible operator of highest order derivative, R represents the linear operator, and N is the non-linear term. Then, Eq. (1) has the following representation:

Lu+Ru+Nu=g.(2)

Apply the inverse operator L−1 on both sides of Eq. (2),

u=φ+L1gL1RuL1Nu,

where φ is the constant of integration and = 0.The ADM solution is represented as an infinite series,

u=n=0un.

The non-linear term Nu is denoted by An and is defined as follows:

Nu=n=0An.

With the help of the following formula, we can calculate An as

An=1n!dndψnNk=0ψkuk,n=0,1,.

The other method to calculate Adomian polynomials can be seen in [75]. The series has the following relation to represent the solution of Eq. (1):

u0=φ+L1g,n=0,un+1=L1RunL1An,n0.

4 Modification of Adomian Decomposition Method

To understand the main idea of the proposed technique, consider Eq. (1), Eq.(1) and Eq.(1). The new initial solution (un) is calculated by new iteration for Eq. (1) with the help of the proposed technique [31],

un=unζ,t+1ζg0tun0,t+ζg1tun1,t.

Using ADM, the operator form of Eq. (1) is

Lu=cζuζ,tζdζ2uζ,tζ2+κζ,t,(3)

where the differential operator L is defined as

L=γtγ.

Hence, L−1 is defined as

L1.=Iγ.dt.

Applying L−1 to Eq. (3),

uζ,t=uζ,0+L1aζuζ,tζbζ2uζ,tζ2+κζ,t,

and using the new technique, the initial approximation becomes

u0ζ,t=uζ,0+L1κζ,t,

and the iteration formula becomes

un+1ζ,t=L1aζunζ,tζbζ2unζ,tζ2,

where n = 0, 1, ….It is obvious that initial solutions un* of Eq. (1) satisfied both the initial and boundary conditions as follows:

att=0,unζ,0=unζ,0,ζ=0,un0,t=g0t,ζ=1,un1,t=g1t.

The proposed technique works effectively for the two-dimensional problems.

5 Numerical Results

In this section, we will present the solution of some illustrative examples by using the new technique based on ADM.

5.1 Example 1

Consider TFCDE of the form [44]

γuζ,ttγ+ζuζ,tt+2uζ,tζ2=2tγ+2ζ2+2,0<ζ<1,0<γ<1,(4)

with the following initial and boundary conditions:

uζ,0=ζ2,u0,t=2Γγ+1Γ2γ+1t2γ,u1,t=1+2Γγ+1Γ2γ+1t2γ.

The problem has the exact solution at γ = 1,

uζ,t=ζ2+Γγ+1Γ2γ+1t2γ.

Apply the new technique based on ADM to Eq. (4), we get the following result:

unζ,t=unζ,t+1ζ0un0,t+ζ0un1,t,(5)

where n = 0, 1, ….Applying L to Eq. (4), we have

Lu=2tγ+2ζ2+2ζuζ,tζ2uζ,tζ2,(6)

where L=γtγ and L−1 is

L1.=Iγ.dt.

Operating Eq. (6) by L−1, we have

uζ,t=uζ,0+L12tγ+2ζ2+22ζuζ,tζ2uζ,tζ2.

Using the ADM solution, the initial approximation becomes

u0ζ,t=uζ,0+L12tγ+2ζ2+2,
=ζ2+2Γγ+1Γ2γ+1t2γ+2ζ2tγΓγ+1+2tγΓγ+1,

and using the new technique of initial approximation un*, the iteration formula becomes

un+1ζ,t=L1ζunζ,tζ2unζ,tζ2.(7)

By putting initial and boundary conditions in Eq.(5), for n = 0,

u0*ζ,t=u0ζ,t+1ζ2Γγ+1Γ2γ+1t2γu00,t+ζ1+2Γγ+1Γ2γ+1t2γu01,t,=ζ2+2Γγ+1Γ2γ+1t2γ+2ζ2tγΓγ+1+2tγΓγ+1+1ζ2Γγ+1Γ2γ+1t2γ2Γγ+1Γ2γ+1t2γ2tγΓγ+1+ζ1+2Γγ+1Γ2γ+1t2γ12Γγ+1Γ2γ+1t2γ2tγΓγ+12tγΓγ+1,=ζ2+2Γγ+1Γ2γ+1t2γ+2ζ2tγΓγ+1+2tγΓγ+1+1ζ2tγΓγ+1+ζ4tγΓγ+1,=ζ2+2Γγ+1Γ2γ+1t2γ+2ζ2tγΓγ+1+2tγΓγ+12tγΓγ+1+2ζtγΓγ+14ζtγΓγ+1,u0ζ,t=ζ2+2Γγ+1Γ2γ+1t2γ+2ζ2tγΓγ+12ζtγΓγ+1.

From Eq.(7), we have

u1ζ,t=L1ζu0ζ,tζ2u0ζ2,=L1ζ2ζ+4ζtγΓγ+12tγΓγ+12+4tγΓγ+1,×L12ζ24ζ2tγΓγ+1+2ζtγΓγ+124tγΓγ+1,u1ζ,t=2ζ2tγΓγ+14ζ2t2γΓ2γ+1+2ζt2γΓ2γ+12tγΓγ+14t2γΓ2γ+1.

For n = 1, Eq.(5) becomes

u1ζ,t=u1ζ,t+1ζ0u10,t+ζ0u11,t,=2ζ2tγΓγ+14ζ2t2γΓ2γ+1+2ζt2γΓ2γ+12tγΓγ+14t2γΓ2γ+1+1ζ2Γγ+1Γ2γ+1t2γu10,t+ζ1+2Γγ+1Γ2γ+1t2γu11,t,=2ζ2tγΓγ+14ζ2t2γΓ2γ+1+2ζt2γΓ2γ+12tγΓγ+14t2γΓ2γ+1+1ζ2Γγ+1Γ2γ+1t2γ+2tγΓγ+1+4t2γΓ2γ+1+ζ1+2Γγ+1Γ2γ+1t2γ+2tγΓγ+1+4t2γΓ2γ+12t2γΓ2γ+1+2tγΓγ+1+4t2γΓ2γ+1,=2ζ2tγΓγ+14ζ2t2γΓ2γ+1+2ζt2γΓ2γ+12tγΓγ+14t2γΓ2γ+1+1ζ2Γγ+1Γ2γ+1t2γ+2tγΓγ+1+4t2γΓ2γ+1+ζ1+2Γγ+1Γ2γ+1t2γ+4tγΓγ+1+6t2γΓ2γ+1,=2ζ2tγΓγ+14ζ2t2γΓ2γ+1+2ζt2γΓ2γ+12tγΓγ+14t2γΓ2γ+1+2Γγ+1Γ2γ+1t2γ2ζtγΓγ+1Γ2γ+1t2γ+2tγΓγ+12ζt2γΓ2γ+1+4t2γΓ2γ+14ζt2γΓ2γ+1+ζ+2ζΓγ+1Γ2γ+1t2γ+4ζtγΓγ+1+6ζt2γΓ2γ+1,u1ζ,t=2ζ2tγΓγ+14ζ2t2γΓ2γ+1+4ζt2γΓ2γ+1+2ζtγΓγ+1+ζ+2Γγ+1t2γΓ2γ+1.

From Eq. (7), we have

u2ζ,t=L1ζu1ζ,tζ2u1ζ2,=L1ζ4ζtγΓγ+18ζt2γΓγ+1+4t2γΓ2γ+1+2tγΓγ+1+14tγΓγ+18t2γΓ2γ+1,=L14ζ2tγΓγ+1+8ζ2t2γΓ2γ+14ζt2γΓ2γ+12ζtγΓγ+1ζ+4tγΓγ+1+8t2γΓ2γ+1,u2ζ,t=4ζ2t2γΓ2γ+1+8ζ2t3γΓ3γ+14ζt3γΓ3γ+12ζt2γΓ2γ+1ζtγΓγ+1+4t2γΓ2γ+1+8t3γΓ3γ+1.

For n = 2, Eq. (5) becomes

u2ζ,t=u2ζ,t+1ζ0u20,t+ζ0u21,t,=4ζ2t2γΓ2γ+1+8ζ2t3γΓ3γ+14ζt3γΓ3γ+12ζt2γΓ2γ+1ζtγΓγ+1+4t2γΓ2γ+1+8t3γΓ3γ+11ζ2Γγ+1Γ2γ+1t2γu20,t+ζ1+2Γγ+1Γ2γ+1t2γu21,t,=4ζ2t2γΓ2γ+1+8ζ2t3γΓ3γ+12ζt3γΓ3γ+14ζt2γΓ2γ+1ζtγΓγ+1+4t2γΓ2γ+1+8t3γΓ3γ+1+1ζ2Γγ+1Γ2γ+1t2γ4t2γΓ2γ+18t3γΓ3γ+1+ζ1+2Γγ+1Γ2γ+1t2γ4t2γΓ2γ+18t3γΓ3γ+1+4t3γΓ3γ+1+2t2γΓ2γ+1+tγΓγ+14t2γΓ2γ+18t3γΓ3γ+1,=4ζ2t2γΓ2γ+1+8ζ2t3γΓ3γ+14ζt3γΓ3γ+12ζt2γΓ2γ+1ζtγΓγ+1+4t2γΓ2γ+1+8t3γΓ3γ+1+1ζ2Γγ+1Γ2γ+1t2γ4t2γΓ2γ+18t3γΓ3γ+1+ζ1+2Γγ+1Γ2γ+1t2γ6t2γΓ2γ+112t3γΓ3γ+1+tγΓγ+1,=4ζ2t2γΓ2γ+1+8ζ2t3γΓ3γ+14ζt3γΓ3γ+12ζt2γΓ2γ+1ζtγΓγ+1+4t2γΓ2γ+1+8t3γΓ3γ+1+2Γγ+1Γ2γ+1t2γ2ζΓγ+1Γ2γ+1t2γ4t2γΓ2γ+1+4ζt2γΓ2γ+18t3γΓ3γ+1+8ζt3γΓ3γ+1+ζ+2ζΓγ+1Γ2γ+1t2γ6ζt2γΓ2γ+112ζt3γΓ3γ+1+ζtγΓγ+1,u2ζ,t=4ζ2t2γΓ2γ+1+8ζ2t3γΓ3γ+18ζt3γΓ3γ+14ζt2γΓ2γ+1+2Γγ+1Γ2γ+1t2γ+ζ.

From Eq. (7), we have

u3ζ,t=L1ζu2ζ,tζ2u2ζ2,=L1ζ8ζt2γΓ2γ+1+16ζt3γΓ3γ+18t3γΓ3γ+14t2γΓ2γ+1+18t2γΓ2γ+1+16t3γΓ3γ+1,=L18ζ2t2γΓ2γ+116ζ2t3γΓ3γ+1+8ζt3γΓ3γ+1+4ζt2γΓ2γ+1ζ8t2γΓ2γ+116t3γΓ3γ+1,u3ζ,t=8ζ2t3γΓ3γ+116ζ2t4γΓ4γ+1+8ζt4γΓ4γ+1+4ζt3γΓ3γ+1ζtγΓγ+18t3γΓ3γ+116t4γΓ4γ+1.

Thus, the ADM solution as a series is

uζ,t=u0ζ,t+u1ζ,t+u2ζ,t+u3ζ,t+=ζ2+2Γγ+1Γ2γ+1t2γ+2ζ2tγΓγ+1+2tγΓγ+12ζ2tγΓγ+14ζ2t2γΓ2γ+1+2ζt2γΓ2γ+12tγΓγ+14t2γΓ2γ+14ζ2t2γΓ2γ+1+8ζ2t3γΓ3γ+12ζt3γΓ3γ+14ζt2γΓ2γ+1ζtγΓγ+1+4t2γΓ2γ+1+8t3γΓ3γ+18ζ2t3γΓ3γ+116ζ2t4γΓ4γ+1+8ζt4γΓ4γ+1+4ζt3γΓ3γ+1ζtγΓγ+18t3γΓ3γ+116t4γΓ4γ+1+uζ,t=ζ2+2Γγ+1Γ2γ+1t2γ.

5.2 Example 2

Consider the TFCDE of the following form [76]:

γuζ,ttγ+ζuζ,tζ2uζ,tζ2=gζ,t,0<ζ<1,0<γ<1.(8)

With the following initial and boundary conditions,

uζ,0=ζζ3,u0,t=u1,t=0,

where

gζ,t=Γ1+2γΓ1+γtγζζ3+1+t2γ7ζ3ζ3.

The problem has the exact solution at γ = 1 is,

uζ,t=1+t2γζζ3.

Applying the new technique based on ADM to Eq.(15), we get the following result:

unζ,t=unζ,t+1ζζζ3un0,t+ζ0un1,t,(9)

where n = 0, 1, …. Applying L to Eq.(15), we have

Lu=2uζ,tζ2ζuζ,tζ+gζ,t,(10)

where L=γtγ and L−1 is

L1.=Iγ.dt.

Operating by L−1, we have

uζ,t=uζ,0+L12uζ,tζ2ζuζ,tζ+gζ,t.

Using the ADM solution, the initial approximation becomes

u0ζ,t=uζ,0+L1gζ,t,=ζζ3+L1Γ1+2γΓ1+γtγζζ3+1+t2γ7ζ3ζ3,=ζζ3+t2γζζ3+7ζ3ζ3tγΓγ+1+t3γΓ3γ+1,u0ζ,t=ζζ31+t2γ+7ζ3ζ3tγΓγ+1+t3γΓ3γ+1.

Using the new technique of initial approximation un, the iteration formula becomes

un+1ζ,t=L12unζ2ζunζ.(11)

By putting the initial and boundary condition in Eq.(16), for n = 0,

u0ζ,t=u0ζ,t+1ζ0u00,t+ζ0u01,t,=ζζ31+t2γ+7ζ3ζ3tγΓγ+1+t3γΓ3γ+1+1ζ00+ζ04tγΓγ+1+t3γΓ3γ+1,=ζζ31+t2γ+7ζ3ζ3tγΓγ+1+t3γΓ3γ+14ζtγΓγ+1+t3γΓ3γ+1,u0ζ,t=ζζ31+t2γ+7ζ3ζ3tγΓγ+1+t3γΓ3γ+1.

From Eq. (9), we have

u1ζ,t=L12u0ζ2ζu0ζ,=L16ζ1+t2γ18ζtγΓγ+1+t3γΓ3γ+1ζ13ζ21+t2γ+39ζ2tγΓγ+1+t3γΓ3γ+1,=L11+t2γ6ζζ+3ζ3+tγΓγ+1+t3γΓ3γ+118ζ3ζ+9ζ3,=L11+t2γ7ζ+3ζ3+tγΓγ+1+t3γΓ3γ+121ζ+9ζ3,u1ζ,t=tγΓγ+1+t3γΓ3γ+17ζ+3ζ3+t2γΓ2γ+1+t4γΓ4γ+121ζ+9ζ3.

For n = 1, Eq.(9), we have

u1ζ,t=u1ζ,t+1ζ0u10,t+ζ0u11,t,=tγΓγ+1+t3γΓ3γ+17ζ+3ζ3+t2γΓ2γ+1+t4γΓ4γ+121ζ+9ζ3+1ζ00+ζ0+4tγΓγ+1+t3γΓ3γ+1+12t2γΓ2γ+1+t4γΓ4γ+1,=7ζ+4ζ+3ζ3tγΓγ+1+t3γΓ3γ+1+t2γΓ2γ+1+t4γΓ4γ+121ζ+9ζ3+12ζ,u1*ζ,t=3ζ+3ζ3tγΓγ+1+t3γΓ3γ+1+t2γΓ2γ+1+t4γΓ4γ+19ζ+9ζ3,

From Eq. (9), we have

u2ζ,t=L12u1ζ2ζu1ζ,=L118ζtγΓγ+1+t3γΓ3γ+1+54ζt2γΓ2γ+1+t4γΓ4γ+1ζ3+9ζ2tγΓγ+1+t3γΓ3γ+1+9,+,27ζ2t2γΓ2γ+1+t4γΓ4γ+1,=L118ζ+3ζ9ζ3tγΓγ+1+t3γΓ3γ+1+54ζ+9ζ27ζ3t2γΓ2γ+1+t4γΓ4γ+1,=L121ζ9ζ3tγΓγ+1+t3γΓ3γ+1+63ζ27ζ3t2γΓ2γ+1+t4γΓ4γ+1,u2ζ,t=21ζ9ζ3t2γΓ2γ+1+t4γΓ4γ+1+63ζ27ζ3t3γΓ3γ+1+t5γΓ5γ+1.

For n = 2, Eq.(11) becomes

u2ζ,t=u2ζ,t+1ζ0u20,t+ζ0u21,t,=21ζ9ζ3t2γΓ2γ+1+t4γΓ4γ+1+63ζ27ζ3t3γΓ3γ+1+t5γΓ5γ+1+1ζ00+ζ012t2γΓ2γ+1+t4γΓ4γ+136t3γΓ3γ+1+t5γΓ5γ+1,=21ζ12ζ9ζ3t2γΓ2γ+1+t4γΓ4γ+1+63ζ36ζ27ζ3t3γΓ3γ+1+t5γΓ5γ+1,u2*ζ,t=9ζ9ζ3t2γΓ2γ+1+t4γΓ4γ+1+27ζ27ζ3t3γΓ3γ+1+t5γΓ5γ+1.

From Eq. (9), we have

u3ζ,t=L12u2ζ2ζu2ζ,=L154ζt2γΓ2γ+1+t4γΓ4γ+1162ζt3γΓ3γ+1+t5γΓ5γ+1ζ927ζ2t2γΓ2γ+1+t4γΓ4γ+1+2781ζ2t3γΓ3γ+1+t5γΓ5γ+1,=L154ζ9ζ+27ζ3t2γΓ2γ+1+t4γΓ4γ+1+27ζ162ζ+81ζ3t3γΓ3γ+1+t5γΓ5γ+1,=L163ζ+27ζ3t2γΓ2γ+1+t4γΓ4γ+1+189ζ+81ζ3t3γΓ3γ+1+t5γΓ5γ+1,u3ζ,t=63ζ+27ζ3t3γΓ3γ+1+t5γΓ5γ+1+189ζ+81ζ3t4γΓ4γ+1+t6γΓ6γ+1.

⋮Thus, the ADM solution in a series form is

uζ,t=u0ζ,t+u1ζ,t+u2ζ,t+u3ζ,t+,=ζζ31+t2γ+7ζ3ζ3tγΓγ+1+t3γΓ3γ+1+tγΓγ+1+t3γΓ3γ+17ζ+3ζ3+t2γΓ2γ+1+t4γΓ4γ+121ζ+9ζ3+21ζ9ζ3t2γΓ2γ+1+t4γΓ4γ+1+63ζ27ζ3t3γΓ3γ+1+t5γΓ5γ+1+63ζ+27ζ3t3γΓ3γ+1+t5γΓ5γ+1+189ζ+81ζ3t4γΓ4γ+1+t6γΓ6γ+1+,uζ,t=1+t2γζζ3.

5.3 Example 3

Consider TFCDE of the form [77]

γuζ,ttγ+ζuζ,tζ2uζ,tζ2=gζ,t.0<ζ<1,0<γ1.(12)

With the following initial and boundary conditions,

uζ,0=ζζ3,u0,t=u1,t=0,

where

gζ,t=2t2γζ2ζ3Γ3γ+t2+12ζ23ζ3+6ζ2.

The problem has the exact solution at γ = 1 is,

uζ,t=t2+1ζ2ζ3.

Applying the new technique based on ADM to Eq. (12), we get the following result:

unζ,t=unζ,t+1ζ0un0,t+ζ0un1,t,(13)

where n = 0, 1, …. Applying L to Eq. (12), we have

Lu=2uζ,tζ2ζuζ,tζ+gζ,t,(14)

where L=γtγ and L−1 is

L1.=Iγ.dt.

Operating Eq. (12) by L−1, we have

uζ,t=uζ,0+L12uζ,tζ2ζuζ,tζ+gζ,t.

Using the ADM solution, the initial approximation becomes

u0ζ,t=uζ,0+L1gζ,t,=ζ2ζ3+L12t2γζ2ζ3Γ3γ+t2+12ζ23ζ3+6ζ2,=ζ2ζ3+t2ζ2ζ3+2tγ+2Γγ+3+tγΓγ+12ζ23ζ3+6ζ2,u0ζ,t=1+t2ζ2ζ3+2tγ+2Γγ+3+tγΓγ+12ζ23ζ3+6ζ2,

and using the new technique of initial approximation un, the iteration formula becomes

un+1ζ,t=L12unζ2ζunζ.(15)

By putting the initial and boundary conditions in Eq. (13), for n = 0,

u0ζ,t=u0ζ,t+1ζ0u00,t+ζ0u01,t,=1+t2ζ2ζ3+2tγ+2Γγ+3+tγΓγ+12ζ23ζ3+6ζ2+1ζ0,+,22tγ+2Γγ+3+tγΓγ+1+ζ0,,32tγ+2Γγ+3+tγΓγ+1,=1+t2ζ2ζ3+2tγ+2Γγ+3+tγΓγ+12ζ23ζ3+6ζ2+22tγ+2Γγ+3+tγΓγ+12ζ2tγ+2Γγ+3+tγΓγ+13ζ2tγ+2Γγ+3+tγΓγ+1,=1+t2ζ2ζ3+2tγ+2Γγ+3+tγΓγ+12ζ23ζ3+6ζ25ζ+2,u0ζ,t=1+t2ζ2ζ3+2tγ+2Γγ+3+tγΓγ+12ζ23ζ3+ζ.(16)

From Eq. (15), we have

u1ζ,t=L12u0ζ2ζu0ζ,=L11+t226ζ+418ζ2tγ+2Γγ+3+tγΓγ+1ζ1+t22ζ3ζ2+4ζ9ζ2+12tγ+2Γγ+3+tγΓγ+1,L1×1+t226ζ2ζ2+3ζ3+9ζ34ζ219ζ+4×2tγ+2Γγ+3+tγΓγ+1,u1ζ,t=2tγ+2Γγ+3+tγΓγ+126ζ2ζ2+3ζ3+9ζ34ζ219ζ+42t2γ+2Γ2γ+3+t2γΓ2γ+1.

For n = 1, Eq. (13), we have

u1ζ,t=u1ζ,t+1ζ0u10,t+ζ0u11,t,=2tγ+2Γγ+3+tγΓγ+126ζ2ζ2+3ζ3+9ζ34ζ219ζ+42t2γ+2Γ2γ+3+t2γΓ2γ+1+1ζ02tγΓγ+1+2tγ+2Γγ+342t2γ+2Γ2γ+3+2t2γΓ2γ+1+ζ0+3tγΓγ+1+2tγ+2Γγ+3+102t2γ+2Γ2γ+3+t2γΓ2γ+1,=2tγ+2Γγ+3+tγΓγ+126ζ2ζ2+3ζ32+2ζ+3ζ+2t2γ+2Γ2γ+3+2t2γΓ2γ+19ζ34ζ219ζ+44+4ζ+10ζ,u1ζ,t=2tγ+2Γγ+3+tγΓγ+13ζ32ζ2ζ+2t2γ+2Γ2γ+3+2t2γΓ2γ+19ζ34ζ25ζ.

From Eq. (15), we have

u2ζ,t=L12u1ζ2ζu1ζ,=L118ζ42tγ+2Γγ+3+tγΓγ+1+54ζ82t2γ+2Γ2γ+3+2t2γΓ2γ+1ζ9ζ24ζ12tγ+2Γγ+3+tγΓγ+127ζ28ζ52t2γ+2Γ2γ+3+2t2γΓ2γ+1,=L118ζ49ζ3+4ζ2+ζ2tγ+2Γγ+3+tγΓγ+1+54ζ827ζ3+8ζ2+5ζ2t2γ+2Γ2γ+3+2t2γΓ2γ+1,=L119ζ9ζ34+4ζ22tγ+2Γγ+3+tγΓγ+1+59ζ27ζ3+8ζ232t2γ+2Γ2γ+3+2t2γΓ2γ+1,u2ζ,t=19ζ9ζ34+4ζ22t2γ+2Γ2γ+3+t2γΓ2γ+1+59ζ27ζ3+8ζ282t3γ+2Γ3γ+3+t3γΓ3γ+1.

For n = 2, Eq. (13) becomes

u2ζ,t=u2ζ,t+1ζ0u20,t+ζ0u21,t,=19ζ9ζ34+4ζ22t2γ+2Γ2γ+3+t2γΓ2γ+1+59ζ27ζ3+8ζ282t3γ+2Γ3γ+3+t3γΓ3γ+1+1ζ0+42t2γ+2Γ2γ+3+t2γΓ2γ+1+82t3γ+2Γ3γ+3+t3γΓ3γ+1+ζ0102t2γ+2Γ2γ+3+t2γΓ2γ+1322t3γ+2Γ3γ+3+t3γΓ3γ+1,=19ζ9ζ34+4ζ2+44ζ10ζ2t2γ+2Γ2γ+3+t2γΓ2γ+1+59ζ27ζ3+8ζ28+88ζ32ζ2t3γ+2Γ3γ+3+t3γΓ3γ+1,u2ζ,t=5ζ9ζ3+4ζ22t2γ+2Γ2γ+3+t2γΓ2γ+1+19ζ27ζ3+8ζ22t3γ+2Γ3γ+3+t3γΓ3γ+1.

From Eq. (15), we have

u3ζ,t=L12u2ζ2ζu2ζ,=L154ζ+82t2γ+2Γ2γ+3+t2γΓ2γ+1+162ζ+162t3γ+2Γ3γ+3+t3γΓ3γ+1ζ527ζ2+8ζ2t2γ+2Γ2γ+3+t2γΓ2γ+1+1981ζ2+16ζ2t3γ+2Γ3γ+3+t3γΓ3γ+1,=L154ζ+85ζ+27ζ38ζ22t2γ+2Γ2γ+3+t2γΓ2γ+1+162ζ+1619ζ+81ζ38ζ22t3γ+2Γ3γ+3+t3γΓ3γ+1,=L159ζ+27ζ38ζ2+82t2γ+2Γ2γ+3+t2γΓ2γ+1+181ζ+81ζ38ζ2+162t3γ+2Γ3γ+3+t3γΓ3γ+1,u3ζ,t=59ζ+27ζ38ζ2+82t3γ+2Γ3γ+3+t3γΓ3γ+1+181ζ+81ζ38ζ2+162t4γ+2Γ4γ+3+t4γΓ4γ+1.

⋮Thus, the ADM solution as a series is

uζ,t=u0ζ,t+u1ζ,t+u2ζ,t+u3ζ,t+,=1+t2ζ2ζ3+2tγ+2Γγ+3+tγΓγ+12ζ23ζ3+6ζ2+2tγ+2Γγ+3+tγΓγ+126ζ2ζ2+3ζ3+9ζ34ζ219ζ+42t2γ+2Γ2γ+3+t2γΓ2γ+1+19ζ9ζ34+4ζ22t2γ+2Γ2γ+3+t2γΓ2γ+1+59ζ27ζ3+8ζ282t3γ+2Γ3γ+3+t3γΓ3γ+1+59ζ+27ζ38ζ2+82t3γ+2Γ3γ+3+t3γΓ3γ+1+181ζ+81ζ38ζ2+162t4γ+2Γ4γ+3+t4γΓ4γ+1+,uζ,t=1+t2ζ2ζ3.

5.4 Example 4

Consider the TFCDE of the form [77]

γuζ,ttγ+2uζ,tζ2=gζ,t,0<ζ<1,0<γ<1.(17)

With the following initial and boundary conditions,

uζ,0=0,u0,t=u1,t=0.

where

gζ,t=2Γ3γt2γsin2πζ+4π2t2sin2πζ.

The problem has the exact solution at γ = 1 is,

uζ,t=t2sin2πζ.

Applying the new technique based on ADM to Eq. (17), we get the following result:

unζ,t=unζ,t+1ζ0un0,t+ζ0un1,t,(18)

where n = 0, 1, ….

Applying L to Eq.(17), we have

Lu=2uζ,tζ2+gζ,t,(19)

where L=γtγ and L−1 is

L1.=Iγ.dt.

Operating Eq. (19) by L−1, we have

uζ,t=uζ,0+L12uζ,tζ2+gζ,t.

Using the ADM solution, the initial approximation becomes

u0ζ,t=uζ,0+L1gζ,t,=0+L12Γ3γt2γsin2πζ+4π2t2sin2πζ,u0ζ,t=t2sin2πζ+8π2sin2πζt2+γΓ3+γ,

and using the new technique of initial approximation un*, the iteration formula becomes

un+1ζ,t=L12un*ζ2.(20)

By putting the initial and boundary condition in Eq.(18), for n = 0,

u0ζ,t=u0ζ,t+1ζ0u00,t+ζ0u01,t,=t2sin2πζ+8π2sin2πζt2+γΓ3+γ+1ζ0t2sin08π2sin0Γ3+γ+ζ0t2sin2πt2+γ8π2sin2πt2+γΓ3+γ,=t2sin2πζ+8π2sin2πζt2+γΓ3+γ+0+0,u0ζ,t=t2sin2πζ+8π2sin2πζt2+γΓ3+γ.

From Eq. (20), we have

u1ζ,t=L12u0ζ2,=L14π2t2sin2πζ32π4sin2πζt2+γΓ3+γ,u1ζ,t=4π2t2+γsin2πζΓγ+332π4sin2πζt2+2γΓ2γ+3.

For n = 1 Eq. (18), we have

u1ζ,t=u1ζ,t+1ζ0u10,t+ζ0u11,t,=4π2t2+γsin2πζΓγ+332π4sin2πζt2+2γΓ3+2γ+1ζ04π2t2+γsin0Γγ+332π4sin0t2+2γΓ3+2γ+ζ04π2t2+γsin2πΓγ+332π4sin2πt2+2γΓ3+2γ,=4π2t2+γsin2πζΓγ+332π4sin2πζt2+2γΓ3+2γ+1ζ0+0+0+ζ0+0+0,u1ζ,t=4π2t2+γsin2πζΓγ+332π4sin2πζt2+2γΓ3+2γ.

From Eq. (20), we have

u2ζ,t=L12u1ζ2,=L132π4t2+γsin2πζΓγ+3+128π6sin2πζt2+2γΓ3+2γ,u2ζ,t=32π4t2+2γsin2πζΓ3+2γ+128π6sin2πζt2+3γΓ3+3γ.

For n = 2, Eq. (18) becomes

u2ζ,t=u2ζ,t+1ζ0u20,t+ζ0u21,t,=32π4t2+2γsin2πζΓ3+2γ+128π6sin2πζt2+3γΓ3+3γ+1ζ032π4t2+2γsin0Γ3+2γ128π6sin0t2+3γΓ3+3γ+ζ032π4t2+2γsin2πΓ3+2γ128π6sin2πt2+3γΓ3+3γ,=32π4t2+2γsin2πζΓ3+2γ+128π6sin2πζt2+3γΓ3+3γ+1ζ0+0+0+ζ0+0+0,u2ζ,t=32π4t2+2γsin2πζΓ3+2γ+128π6sin2πζt2+3γΓ3+3γ.

From Eq.(20), we have

u3ζ,t=L12u2ζ2,=L1128π6t2+2γsin2πζΓ3+2γ512π8sin2πζt2+3γΓ3+3γ,u3ζ,t=128π6t2+3γsin2πζΓ3+3γ512π8sin2πζt2+4γΓ3+4γ.

Thus, the ADM solution as a series is

uζ,t=u0ζ,t+u1ζ,t+u2ζ,t+u3ζ,t+,=t2sin2πζ+8π2sin2πζt2+γΓ3+γ+4π2t2+γsin2πζΓγ+332π4sin2πζt2+2γΓ2γ+3+32π4t2+2γsin2πζΓ3+2γ+128π6sin2πζt2+3γΓ3+3γ×128π6t2+3γsin2πζΓ3+3γ512π8sin2πζt2+4γΓ3+4γ+,uζ,t=t2sin2πζ.

6 Results and Discussion

Figures 1, 2 are the 2D and 3D representations of the Exact and approximate solutions of Example 1 while Figure 3 is the comparison plot of exact and approximate solutions. Figure 4 is the 2D and 3D plots for different fractional orders of Example 1. Figures 5, 6 represent 2D and 3D plots of exact and approximate solutions for Example 2 while Figure 7 is the comparison plot of the exact and approximate solutions. In Figure 8, the 2D and 3D plots at different fractional orders of the derivatives are discussed for Example 2. Figures 9, 10 have shown the 2D and 3D plots of exact and approximate solutions of Example 3 are presented while Figure 11 has displayed the comparison plot of exact and approximate solutions. Figure 12 is the 2D and 3D plots for different fractional orders of the derivative of example 3. Figures 13, 14 represent the 2D and 3D plots of exact and approximate solutions of Example 4 while Figure 15 is the comparison plot of the exact and approximate solutions. In Figure 16, the 2D and 3D plots are displayed for different fractional orders of the derivative of Example 4.

FIGURE 1
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FIGURE 1. 3D plots for the exact and analytical solution at γ =1 for Example 1.

FIGURE 2
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FIGURE 2. 2D plots for the exact and analytical solution at γ =1 for Example 1.

FIGURE 3
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FIGURE 3. Comparison for the exact and analytical solution at γ =1 for Example 1.

FIGURE 4
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FIGURE 4. 3D and 2D plots for the ADM solution at different values of γ for Example 1.

FIGURE 5
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FIGURE 5. 3D plots for the exact and analytical solution at γ =1 for Example 2.

FIGURE 6
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FIGURE 6. 2D plots for the exact and analytical solution at γ =1 for Example 2.

FIGURE 7
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FIGURE 7. Comparison for the exact and analytical solution at γ =1 for Example 2.

FIGURE 8
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FIGURE 8. 3D and 2D plots for the ADM solution at different values of γ =1 for Example 2.

FIGURE 9
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FIGURE 9. 3D plots for the exact and analytical solution at γ =1 for Example 3.

FIGURE 10
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FIGURE 10. 2D plots for the exact and analytical solution at γ =1 for Example 3.

FIGURE 11
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FIGURE 11. Comparison for the exact and analytical solution at γ =1 for Example 3.

FIGURE 12
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FIGURE 12. 3D and 2D plots for the ADM solution at different values of γ for Example 3.

FIGURE 13
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FIGURE 13. 3D plots for the exact and analytical solution at γ =1 for Example 4

FIGURE 14
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FIGURE 14. 2D plots for the exact and analytical solution at γ =1 for Example 4

FIGURE 15
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FIGURE 15. Comparison for the exact and analytical solution at γ =1 for Example 4.

FIGURE 16
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FIGURE 16. 3D and 2D plots for the ADM solution at different values of γ for Example 4.

7 Conclusion

In many situations, the analytical solutions of fractional partial differential equations with boundary conditions are very difficult to investigate. Here, a very useful and successful attempt is made to determine the solution of fractional convection–diffusion equations with variable coefficients along with the initial–boundary conditions. The simulations for the given problems are derived and applied it for the solutions of some numerical examples. The fractional-order solutions are obtained in a very sophisticated manner. The solution graphs are plotted with higher accuracy for both fractional and integer orders of the problems. It is shown that the solution sequence of fractional order problems is convergent towards the integer-order solutions. Moreover, it is investigated that the present method has a unique capability to solve fractional partial differential equations with variable coefficients with initial and boundary conditions. In the light of the above varieties and features, the proposed technique can be extended to solve other problems with higher accuracy.

Data Availability Statement

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

Author Contributions

HK supervision, PK funding, Hajira methodology, QK Investigation, FT Project Administrator, KS Funding, ID draft writing.

Funding

The authors acknowledge the financial support provided by the Center of Excellence in Theoretical and Computational Science (TaCS-CoE), KMUTT. This research project is supported by Thailand Science Research and Innovation (TSRI) Basic Research Fund: Fiscal year 2022 under project number FRB650048/0164.

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.

Acknowledgments

Researchers Supporting Project number (RSP-2021/401), King Saud University, Riyadh, Saudi Arabia.

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Keywords: Adomian decomposition method, initial–boundary value problems, Caputo derivative, fractional convection–diffusion equations, analytical method

Citation: Khan H, Kumam P, Hajira , Khan Q, Tchier F, Sitthithakerngkiet K and Dassios I (2022) A New Modified Analytical Approach for the Solution of Time-Fractional Convection–Diffusion Equations With Variable Coefficients. Front. Phys. 10:900502. doi: 10.3389/fphy.2022.900502

Received: 20 March 2022; Accepted: 20 April 2022;
Published: 20 June 2022.

Edited by:

Guillermo Fernandez-Anaya, Ibero American University, Mexico

Reviewed by:

Ramakanta Meher, Sardar Vallabhbhai National Institute of Technology Surat, India
Trushitkumar Patel, University of the People, United States
Hooman Fatoorehchi, University of Tehran, Iran
Mustafa Turkyilmazoglu, Hacettepe University, Turkey

Copyright © 2022 Khan, Kumam, Hajira, Khan, Tchier, Sitthithakerngkiet and Dassios. 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: Poom Kumam, poom.kum@kmutt.ac.th

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