Research article Special Issues

Numerical computation of fractional Kersten-Krasil’shchik coupled KdV-mKdV system occurring in multi-component plasmas

  • In this paper, we study the nonlinear behaviour of multi-component plasma. For this an efficient technique, called Homotopy perturbation Sumudu transform method (HPSTM) is introduced. The power of method is represented by solving the time fractional Kersten-Krasiloshchik coupled KdV-mKdV nonlinear system. This coupled nonlinear system usually arises as a description of waves in multi-component plasmas, traffic flow, electric circuits, electrodynamics and elastic media, shallow water waves etc. The prime purpose of this study is to provide a new class of technique, which need not to use small parameters for finding approximate solution of fractional coupled systems and eliminate linearization and unrealistic factors. Numerical solutions represent that proposed technique is efficient, reliable, and easy to use to large variety of physical systems. This study shows that numerical solutions gained by HPSTM are very accurate and effective for analysis the nonlinear behaviour of system. This study also states that HPSTM is much easier, more convenient and efficient than other available analytical methods.

    Citation: Amit Goswami, Sushila, Jagdev Singh, Devendra Kumar. Numerical computation of fractional Kersten-Krasil’shchik coupled KdV-mKdV system occurring in multi-component plasmas[J]. AIMS Mathematics, 2020, 5(3): 2346-2368. doi: 10.3934/math.2020155

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  • In this paper, we study the nonlinear behaviour of multi-component plasma. For this an efficient technique, called Homotopy perturbation Sumudu transform method (HPSTM) is introduced. The power of method is represented by solving the time fractional Kersten-Krasiloshchik coupled KdV-mKdV nonlinear system. This coupled nonlinear system usually arises as a description of waves in multi-component plasmas, traffic flow, electric circuits, electrodynamics and elastic media, shallow water waves etc. The prime purpose of this study is to provide a new class of technique, which need not to use small parameters for finding approximate solution of fractional coupled systems and eliminate linearization and unrealistic factors. Numerical solutions represent that proposed technique is efficient, reliable, and easy to use to large variety of physical systems. This study shows that numerical solutions gained by HPSTM are very accurate and effective for analysis the nonlinear behaviour of system. This study also states that HPSTM is much easier, more convenient and efficient than other available analytical methods.


    Plasma is also known as ionized state of the matter. In this state of matter, Plasma contains multi-component such as free electrons, ions neutrals, dust etc. The multi-component plasmas deal with the partially or fully ionized state of plasma. It also fulfils the condition of quasi neutrality. The multi-component plasmas play a crucial role in plasma discharge and other processing industry. The multi-component plasma having more than two components while general plasma having ions and electrons. The wide range of plasmas itself give an opportunity to analysis such plasmas in distinct scales. There are two main areas of multi-component plasma such as dusty plasma and the negative ions plasma. Both areas of multi-component plasma have its wide range of emerging applications in science and engineering. The dusty plasmas are the important from the perspective of space application to fusion possibility. On the other hand, negative ions plasmas open up the door to understand microelectronics fabrication technology to large scale fusion exploration [1,2,3,4,5,6,7,8].

    In the past decades, researchers paid attention to study the multi-component plasma mathematically and analysis the obtained results. The fractional nonlinear partial differential equations are widely used to model the complex phenomenon in many fields of physics and engineering such as hydrodynamics, lattice vibration, acoustics plasma physics, optical fibre, wave propagation, fluid dynamics, etc. The fractional differential equations have great interest by the many researchers due to its applicability in many branches of science and technology. The main benefit of taking fractional order coupled system in this application is its nonlocal property. An integer type differential operator is a class of local operator while fractional type differential operator is a class of nonlocal operator. The main benefit of taking fractional type operator is carrying historical information for determining future state of a system. Its means all future state of a system carries historical information of their previous states and uses this information for determining next future state of a system [9,10,11,12,13,14].

    In the past decades, many researchers are used to various techniques for solving fractional nonlinear partial differential equation and find approximate and exact solutions of the fractional evolution equations. Some of them are homotopy perturbation method, Backlund transformation method, homotopy analysis technique, Tanh method, Adomian decomposition algorithm, variational iteration algorithm, Laplace decomposition method and many more [15,16,17,18,19,20]. In the past time, Singh et al. [21,22] give an excellent technique for solving fractional nonlinear systems. This scheme is a unique combine form of Sumudu transform with HPM known as HPSTM. The nonlinear term can be decomposed by using He's polynomials which is proposed by Ghorbani and Saberi-Nadjafi [23] and Ghorbani [24].

    Time fractional Kersten-Krasil'shchik coupled KdV-mKdV nonlinear system and homogeneous two component time fractional coupled third order KdV systems are very important fractional nonlinear systems for describing the behaviour of waves in multi-component plasma and elaborate various nonlinear phenomena in plasma physics. In present paper, we show applicability of HPSTM for study the time fractional Kersten-Krasil'shchik coupled KdV-mKdV nonlinear system and homogeneous two component time fractional coupled third order KdV system. HPSTM gives exceptional precision in analogous to numerical results and having high precisions with the numerical results. The HPSTM find solutions in convergent series with computable element in straightforward approaches, which need not to apply perturbation, linearization or contrary assumptions. In this work, we apply HPSTM on time fractional Kersten-Krasil'shchik coupled KdV-mKdV nonlinear system and homogeneous two component time fractional coupled third order KdV system and find approximate solution, exact solution and absolute error. Variations in results show by the graphically as well as numerically.

    This work is arranged as: in section 2, we describe mathematical model of problem, in section 3, analysis of HPSTM method presented, in section 4, we apply HPSTM on fractional Kersten-Krasil'shchik coupled KdV-mKdV system and homogeneous two component time fractional coupled third order KdV system, in section 5, results and discussions of physical systems are given, in section 6, conclusions are presented. At the last, references are given.

    The fractional coupled systems are widely applied to study complex behaviour of plasma contains multi components such as ions, free electrons, atoms etc. Many researchers made efforts to study this behaviour numerically. In this direction, recently Paul Kersten and Joseph Krasil'shchik studied KdV equation and modified KdV equation and proposed absolute complexity between coupled KdV–mKdV nonlinear systems for study the behaviour of nonlinear systems. Numerous variations of this Kersten-Krasil'shchik coupled KdV-mKdV nonlinear system has been introduced by many researchers [27,28,29,30,31,32,33,34].

    Among these variations, the mathematical model for describing behaviour of multi-component plasma for waves propagating in positive ξ axis, known as nonlinear fractional Kersten-Krasil'shchik coupled KdV-mKdV system is given by:

    Dαηρ+ρ3ξ6ρρξ+3ωω3ξ+3ωξω2ξ3ρξω2+6ρωωξ=0,η>0,ξR,0<α1 (2.1)
    Dαηω+ω3ξ3ω2ωξ3ρωξ+3ρξω=0,η>0,ξR,0<α1, (2.2)

    where η is temporal coordinate and ξ is spatial coordinate. The factor α is represents order of the fractional operator. This operator is studied in the Caputo form.

    When α = 1, fractional coupled system converts to classical system as:

    ρη+ρ3ξ6ρρξ+3ωω3ξ+3ωξω2ξ3ρξω2+6ρωωξ=0,η>0,ξR, (2.3)
    ωη+ω3ξ3ω2ωξ3ρωξ+3ρξω=0,η>0,ξR, (2.4)

    If we put ω = 0 then Kersten-Krasil'shchik coupled KdV-mKdV system convert into well-known KdV system as:

    ρη+ρ3ξ6ρρξ=0,η>0,ξR, (2.5)

    If we put ρ = 0 then Kersten-Krasil'shchik coupled KdV-mKdV system convert into well-known modified KdV system as:

    ωη+ω3ξ3ω2ωξ=0,η>0,ξR, (2.6)

    In view of that, Kersten-Krasil'shchik coupled KdV-mKdV system can be assumed combination between KdV system and mKdV system represented by (2.3) to (2.6).

    In this study, we also consider fractional nonlinear two component homogeneous time fractional coupled third order KdV system as:

    Dαηρρ3ξρρξωωξ=0,η>0,ξR,0<α1, (2.7)
    Dαηω+2ω3ξρωξ=0,η>0,ξR,0<α1, (2.8)

    where η is temporal coordinate and ξ is spatial coordinate, α is a factor represents order of the fractional operator. This operator is studied in the Caputo form.

    When α = 1, fractional coupled system converts to classical system as:

    ρηρ3ξρρξωωξ=0,η>0,ξR, (2.9)
    ωη+2ω3ξρωξ=0,η>0,ξR. (2.10)

    Assume a nonhomogeneous, nonlinear time fractional coupled system as [21,22]:

    Dαηρ(ξ,η)+Rρ(ξ,η)+Nρ(ξ,η)=g(ξ,η), (3.1)

    with the initial condition (IC)

    ρ(ξ,0)=f(ξ), (3.2)

    where Dηαρ(ξ, η) is fractional order Caputo derivative of the function ρ(ξ,η),g(ξ,η) represent source term, R shows linear differential derivative and N shows nonlinear differential derivative.

    Using Sumudu transform [25,26] on Eq. (3.1), we get

    S[Dαηρ(ξ,η)]+S[Rρ(ξ,η)]+S[Nρ(ξ,η)]=S[g(ξ,η)]. (3.3)

    By using identity of Sumudu transform, we have

    S[ρ(ξ,η)]=f(ξ)+uαS[g(ξ,η)]uαS[Rρ(ξ,η)+Nρ(ξ,η)]. (3.4)

    Using inverse Sumudu transform on Eq. (3.4), we have

    ρ(ξ,η)=G(ξ,η)S1[uαS[Rρ(ξ,η)+Nρ(ξ,η)]]. (3.5)

    Here G(ξ,η) is an expression due to source term and IC.

    Use of HPM on Eq. (3.5) gives

    ρ(ξ,η)=n=0pnρn(ξ,η). (3.6)

    Nonlinear term can be disintegrated as:

    Nρ(ξ,η)=n=0pnHn(ρ), (3.7)

    here Hn(ρ) are He's polynomials [23,24] which are expressed as:

    Hn(ρ0,ρ1,ρ2,,ρn)=1n!npn[N(i=0piρi)]p=0,n=0,1,2,3. (3.8)

    Incorporating Eq. (3.6) and Eq. (3.7) in Eq. (3.5), we have

    n=0pnρn(ξ,η)=G(ξ,η)p(S1[uαS[Rn=0pnρn(ξ,η)+n=0pnHn(ρ)]]). (3.9)

    Equation (3.9) represents combination of He's polynomials, Sumudu transform and HPM.

    Comparing coefficients of the same powers of p, we have

    p0:ρ0(ξ,η)=G(ξ,η),p1:ρ1(ξ,η)=S1[uαS[Rρ0(ξ,η)+H0(ρ)]],p2:ρ2(ξ,η)=S1[uαS[Rρ1(ξ,η)+H1(ρ)]],p3:ρ3(ξ,η)=S1[uαS[Rρ2(ξ,η)+H2(ρ)]],pn:ρn(ξ,η)=S1[uαS[Rρn1(ξ,η)+Hn1(ρ)]]. (3.10)

    By the same manner, one can evaluate other elements of ρn(ξ,η) and then find series solution.

    We approximate numerical solution of ρ(ξ,η) as:

    ρ(ξ,η)=limNNn=0ρn(ξ,η). (3.11)

    Equation (3.11) represents series solution, which converges very fast.

    Example 4.1. Assume time fractional Kersten-Krasil'shchik coupled KdV-mKdV nonlinear system as:

    Dαηρ+ρ3ξ6ρρξ+3ωω3ξ+3ωξω2ξ3ρξω2+6ρωωξ=0,η>0,ξR,0<α1,Dαηω+ω3ξ3ω2ωξ3ρωξ+3ρξω=0,η>0,ξR,0<α1, (4.1)

    with the initial condition

    ρ(ξ,0)=c2csech2(cξ),ω(ξ,0)=2csech(cξ). (4.2)

    Using Sumudu transform on Eq. (4.1) by the application of initial condition given by Eq. (4.2), we get

    S[ρ(ξ,η)]=c2csech2(cξ)uαS[ρ3ξ6ρρξ+3ωω3ξ+3ωξω2ξ3ρξω2+6ρωωξ],S[ω(ξ,η)]=2csech(cξ)uαS[ω3ξ3ω2ωξ3ρωξ+3ρξω]. (4.3)

    Apply inverse Sumudu transform, we get

    ρ(ξ,η)=c2csech2(cξ)S1[uαS[ρ3ξ6ρρξ+3ωω3ξ+3ωξω2ξ3ρξω2+6ρωωξ]],
    ω(ξ,η)=2csech(cξ)S1[uαS[ω3ξ3ω2ωξ3ρωξ+3ρξω]]. (4.4)

    Use HPM on Eq. (4.4), we get

    n=0pnρn(ξ,η)=c2csech2(cξ)p(S1[uαS[(n=0pnρn(ξ,η))3ξ+(n=0pnHn(ρ))]]),
    n=0pnωn(ξ,η)=2csech(cξ)p(S1[uαS[(n=0pnωn(ξ,η))3ξ+(n=0pnHn(ω))]]). (4.5)

    Nonlinear steps given by He's polynomials Hn(ρ) and Hn(ω), which are given as [23,24]:

    n=0pnHn(ρ)=6ρρξ+3ωω3ξ+3ωξω2ξ3ρξω2+6ρωωξ,n=0pnHn(ω)=3ω2ωξ3ρωξ+3ρξω. (4.6)

    Values of components of He's polynomials are given by

    H0(ρ)=6ρ0(ρ0)ξ+3ω0(ω0)3ξ+3(ω0)ξ(ω0)2ξ3(ρ0)ξω20+6ρ0ω0(ω0)ξ
    H1(ρ)=6ρ1(ρ0)ξ6ρ0(ρ1)ξ+3ω1(ω0)3ξ+3ω0(ω1)3ξ+3(ω0)ξ(ω1)2ξ+3(ω0)2ξ(ω1)ξ3(ρ1)ξω206(ρ0)ξω0ω1+6ρ0ω1(ω0)ξ+6ρ0ω0(ω1)ξ+6ρ1ω0(ω0)ξ (4.7)
    H2(ρ)=6ρ2(ρ0)ξ6ρ1(ρ1)ξ6ρ0(ρ2)ξ+3ω2(ω0)3ξ+3ω1(ω1)3ξ+3ω0(ω2)3ξ+3(ω0)ξ(ω2)2ξ+3(ω1)ξ(ω1)2ξ+3(ω0)2ξ(ω2)ξ3(ρ2)ξω206(ρ1)ξω0ω16(ρ0)ξω0ω2+6ρ0ω2(ω0)ξ+6ρ1ω1(ω0)ξ+6ρ2ω0(ω0)ξ+6ρ0ω1(ω1)ξ+6ρ1ω0(ω1)ξ+6ρ0ω0(ω2)ξ
    H3(ρ)=6ρ3(ρ0)ξ6ρ2(ρ1)ξ6ρ1(ρ2)ξ6ρ0(ρ3)ξ+3ω3(ω0)3ξ+3ω2(ω1)3ξ+3ω1(ω2)3ξ+3ω0(ω3)3ξ+3(ω0)ξ(ω3)2ξ+3(ω1)ξ(ω2)2ξ+3(ω1)2ξ(ω2)ξ+3(ω0)2ξ(ω3)ξ3(ρ3)ξω206(ρ2)ξω0ω16(ρ1)ξω0ω23(ρ1)ξω21+ρ0ω3(ω0)ξ+6ρ1ω2(ω0)ξ+6ρ2ω1(ω0)ξ+6ρ3ω0(ω0)ξ+6ρ0ω2(ω1)ξ+66ρ1ω1(ω1)ξ+6ρ2ω0(ω1)ξ+6ρ0ω1(ω2)ξ+6ρ1ω0(ω2)ξ+6ρ0ω0(ω3)ξ

    and

    H0(ω)=3ω20(ω0)ξ3ρ0(ω0)ξ+3ω0(ρ0)ξ
    H1(ω)=3ω20(ω1)ξ6ω0ω1(ω0)ξ3ρ1(ω0)ξ3ρ0(ω1)ξ+3ω1(ρ0)ξ+3ω0(ρ1)ξ
    H2(ω)=3ω20(ω2)ξ6ω0ω1(ω1)ξ6ω0ω2(ω0)ξ3ω22(ω0)ξ3ρ2(ω0)ξ3ρ1(ω1)ξ3ρ0(ω2)ξ+3ω2(ρ0)ξ3ω1(ρ1)ξ3ω0(ρ2)ξ (4.8)
    H3(ω)=3ω20(ω3)ξ6ω0ω1(ω2)ξ6ω0ω2(ω1)ξ6ω0ω3(ω0)ξ6ω1ω2(ω0)ξ3ω23(ω0)ξ3ρ3(ω0)ξ3ρ2(ω1)ξ3ρ1(ω2)ξ3ρ0(ω3)ξ+3ω3(ρ0)ξ3ω2(ρ1)ξ3ω1(ρ2)ξ3ω0(ρ3)ξ

    Comparing the coefficients of same powers of p, we have

    p0:ρ0(ξ,η)=c2csech2(cξ),
    p1:ρ1(ξ,η)=S1[uαS[(ρ0)3ξ+H0(ρ)]]=8c5/2sinh(cξ)sech3(cξ)ηαΓ(α+1), (4.9)
    p2:ρ2(ξ,η)=S1[uαS[(ρ1)3ξ+H1(ρ)]]=16c4[2cosh2(cξ)3]sech4(cξ)η2αΓ(2α+1),
    p3:ρ3(ξ,η)=S1[uαS[(ρ2)3ξ+H2(ρ)]]=128c11/2[cosh2(cξ)3]sinh(cξ)sech5(cξ)η3αΓ(3α+1),
    p4:ρ4(ξ,η)=S1[uαS[(ρ3)3ξ+H3(ρ)]]=256c7[2cosh4(cξ)15cosh2(cξ)+15]sech6(cξ)η4αΓ(4α+1),

    and

    p0:ω0(ξ,η)=2csech(cξ),
    p1:ω1(ξ,η)=S1[uαS[(ω0)3ξ+H0(ω)]]=4c2sinh(cξ)sech2(cξ)ηαΓ(α+1), (4.10)
    p2:ω2(ξ,η)=S1[uαS[(ω1)3ξ+H1(ω)]]=8c7/2[cosh2(cξ)2]sech3(cξ)η2αΓ(2α+1),
    p3:ω3(ξ,η)=S1[uαS[(ω2)3ξ+H2(ω)]]=16c5[cosh2(cξ)6]sinh(cξ)sech4(cξ)η3αΓ(3α+1),
    p4:ω4(ξ,η)=S1[uαS[(ω3)3ξ+H3(ω)]]=32c13/2[cosh4(cξ)20cosh2(cξ)+24]sech5(cξ)η4αΓ(4α+1),

    Hence series solution is given by

    ρ(ξ,η)=i=0ρi(ξ,η)=c2csech2(cξ)+8c5/2sinh(cξ)sech3(cξ)ηαΓ(α+1)16c4[2cosh2(cξ)3]sech4(cξ)η2αΓ(2α+1)+128c11/2[cosh2(cξ)3]sinh(cξ)sech5(cξ)η3αΓ(3α+1)256c7[2cosh4(cξ)15cosh2(cξ)+15]sech6(cξ)η4αΓ(4α+1)+, (4.11)

    and

    ω(ξ,η)=i=0ωi(ξ,η)=2csech(cξ)4c2sinh(cξ)sech2(cξ)ηαΓ(α+1)+8c7/2[cosh2(cξ)2]sech3(cξ)η2αΓ(2α+1)16c5[cosh2(cξ)6]sinh(cξ)sech4(cξ)η3αΓ(3α+1)+32c13/2[cosh4(cξ)20cosh2(cξ)+24]sech5(cξ)η4αΓ(4α+1). (4.12)

    Putting α = 1 in (4.11) and (4.12), we get solution of the problem as:

    ρ(ξ,η)=c2csech2(cξ)+8ηc5/2sinh(cξ)sech3(cξ)8η2c4[2cosh2(cξ)3]sech4(cξ)+643η3c11/2[cosh2(cξ)3]sinh(cξ)sech5(cξ)η3αΓ(3α+1)323η4c7[2cosh4(cξ)15cosh2(cξ)+15]sech6(cξ)+, (4.13)

    and

    ω(ξ,η)=2csech(cξ)4ηc2sinh(cξ)sech2(cξ)+4η2c7/2[cosh2(cξ)2]sech3(cξ)83η3c5[cosh2(cξ)6]sinh(cξ)sech4(cξ)+43η4c13/2[cosh4(cξ)20cosh2(cξ)+24]sech5(cξ). (4.14)

    The solution represents by Eq. (4.14) is similar to exact solution in closed form as:

    ρ(ξ,η)=c2csech2[c(ξ+2cη)],
    ω(ξ,η)=2csech[c(ξ+2cη)]. (4.15)

    Example 4.2. Assume homogeneous two component time fractional coupled third order KdV system as:

    Dαηρρ3ξρρξωωξ=0,η>0,ξR,0<α1,
    Dαηω+2ω3ξρωξ=0,η>0,ξR,0<α1, (4.16)

    with the initial condition

    ρ(ξ,0)=36tanh2(ξ2),
    ω(ξ,0)=3c2tanh2(ξ2). (4.17)

    Using Sumudu transform on Eq. (4.16) by the application of initial condition given by Eq. (4.17), we get

    S[ρ(ξ,η)]=36tanh2(ξ2)+uαS[ρ3ξ+ρρξ+ωωξ],
    S[ω(ξ,η)]=3c2tanh2(ξ2)uαS[2ω3ξρωξ]. (4.18)

    Apply inverse Sumudu transform, we get

    ρ(ξ,η)=36tanh2(ξ2)+S1[uαS[ρ3ξ+ρρξ+ωωξ]],
    ω(ξ,η)=3c2tanh2(ξ2)S1[uαS[2ω3ξρωξ]]. (4.19)

    Use HPM on Eq. (4.19), we get

    n=0pnρn(ξ,η)=36tanh2(ξ2)+p(S1[uαS[(n=0pnρn(ξ,η))3ξ+(n=0pnHn(ρ))]]),
    n=0pnωn(ξ,η)=3c2tanh2(ξ2)p(S1[uαS[2(n=0pnωn(ξ,η))3ξ(n=0pnHn(ω))]]). (4.20)

    Nonlinear steps given by He's polynomials Hn(ρ) and Hn(ω), which are given as:

    n=0pnHn(ρ)=ρρξ+ωωξ,
    n=0pnHn(ω)=ρωξ. (4.21)

    Values of factors of He's polynomials are given as [23,24]:

    H0(ρ)=ρ0(ρ0)ξ+ω0(ω0)ξ
    H1(ρ)=ρ1(ρ0)ξ+ρ0(ρ1)ξ+ω1(ω0)ξ+ω0(ω1)ξ (4.22)
    H2(ρ)=ρ2(ρ0)ξ+ρ1(ρ1)ξ+ρ0(ρ2)ξ+ω2(ω0)ξ+ω1(ω1)ξ+ω0(ω2)ξH3(ρ)=ρ3(ρ0)ξ+ρ2(ρ1)ξ+ρ1(ρ2)ξ+ρ0(ρ3)ξ+ω3(ω0)ξ+ω2(ω1)ξ+ω1(ω2)ξ+ω0(ω3)ξ

    and

    H0(ω)=ρ0(ω0)ξ (4.23)
    H1(ω)=ρ1(ω0)ξρ0(ω1)ξH2(ω)=ρ2(ω0)ξρ1(ω1)ξρ0(ω2)ξH3(ω)=ρ3(ω0)ξρ2(ω1)ξρ1(ω2)ξρ0(ω3)ξ

    Comparing coefficients of same powers of p, we have

    p0:ρ0(ξ,η)=36tanh2(ξ2),
    p1:ρ1(ξ,η)=S1[uαS[(ρ0)3ξ+H0(ρ)]]=6sech2(ξ2)tanh(ξ2)ηαΓ(α+1), (4.24)
    p2:ρ2(ξ,η)=S1[uαS[(ρ1)3ξ+H1(ρ)]]=3[2+7sech2(ξ2)15sech4(ξ2)]sech2(ξ2)η2αΓ(2α+1),p3:ρ3(ξ,η)=S1[uαS[(ρ2)3ξ+H2(ρ)]]

    and

    p0:ω0(ξ,η)=3c2tanh2(ξ2),
    p1:ω1(ξ,η)=S1[uαS[2(ω0)3ξH0(ω)]]=3c2sech2(ξ2)tanh(ξ2)ηαΓ(α+1), (4.25)
    p2:ω2(ξ,η)=S1[uαS[(ω1)3ξH1(ω)]]=3c22[2+21sech2(ξ2)24sech4(ξ2)]sech2(ξ2)η2αΓ(2α+1),p3:ω3(ξ,η)=S1[uαS[(ω2)3ξH2(ω)]]

    Hence series solution is given by

    ρ(ξ,η)=i=0ρi(ξ,η)=36tanh2(ξ2)6sech2(ξ2)tanh(ξ2)ηαΓ(α+1)+3[2+7sech2(ξ2)15sech4(ξ2)]sech2(ξ2)η2αΓ(2α+1), (4.26)

    and

    ω(ξ,η)=i=0ωi(ξ,η)=3c2tanh2(ξ2)+3c2sech2(ξ2)tanh(ξ2)ηαΓ(α+1)+3c22[2+21sech2(ξ2)24sech4(ξ2)]sech2(ξ2)η2αΓ(2α+1)+. (4.27)

    Putting α = 1 in (4.26) and (4.27), we get solution of the problem as:

    ρ(ξ,η)=36tanh2(ξ2)6ηsech2(ξ2)tanh(ξ2)+32η2[2+7sech2(ξ2)15sech4(ξ2)]sech2(ξ2), (4.28)

    and

    ω(ξ,η)=3c2tanh2(ξ2)+3ηc2sech2(ξ2)tanh(ξ2)+3c24η2[2+21sech2(ξ2)24sech4(ξ2)]sech2(ξ2)+. (4.29)

    The solution given by Eq. (4.29) is similar to closed form solution as:

    ρ(ξ,η)=36tanh2(ξ+η2),
    ω(ξ,η)=3c2tanh2(ξ+η2). (4.30)

    Figure 1 (a)–(b) shows profile of the closed form solution and HPSTM solution at α = 1. The profile of error between both results |ρExactρHPSTM| for nonlinear time fractional Kersten-Krasil'shchik coupled KdV-mKdV nonlinear system when c = 1 and α = 1 for 0≤η≤0.01 and -3≤ξ≤3 for Eq. (4.1) by the application of initial condition represented by the Eq. (4.2) of ρ(ξ, η) is shown by Figure 1(c). Figure 1 (a)–(c) shows that profile of the HPSTM solution is analogous to exact solution of ρ(ξ, η). The analytical solutions gained by HPSTM have high precisions at sixth term approximation. The numerical solutions represent high level of precisions between exact solution and HPSTM solution for ρ(ξ, η). It can be analyzed by the Figure 2 that as spatial coordinate vary with time it gives to first decrease and then increase in the ρ(ξ, η) for wave propagation in nonlinear plasma medium at η = 0.01. Figure 3 shows the comparison of profile of ρ(ξ, η) at different values of α for -3≤ξ≤3 and η≤0.01.

    Figure 1.  Profile of solution of ρ(ξ, η) for Eq. (4.1) when c = 1: (a) Exact solution, (b) HPSTM solution at α = 1, (c) Absolute Error |ρExactHPSTM| for 0≤η≤0.01, -3≤ξ≤3 and α = 1.
    Figure 2.  Profile of exact solution and HPSTM solution of ρ(ξ, η) for η = 0.01 and -3≤ξ≤3.
    Figure 3.  Comparison of profile of ρ(ξ, η) at different values of α for -3≤ξ≤3 and η = 0.01.

    Table 1 represents that exact solution is analogous to HPSTM solution and have large level accuracy between the numerical results. Table 1 indicates that absolute error is 10-9order between numerical results for ρ(ξ, η).

    Table 1.  Variation of exact solution with HPSTM solution of ρ(ξ, η) at η = 0.01.
    ξ Exact Solution HPSTM Solution Absolute Error
    3.0 0.9810379547 0.9810379579 1.957810944E−09
    2.5 0.9488741084 0.9488741131 4.588520200E−09
    2.0 0.8640471736 0.8640471812 7.500972059E−09
    1.5 0.6514628688 0.6514628649 3.864259000E−09
    1.0 0.1853889664 0.1853888931 7.330837940E−08
    0.5 −0.5436053970 −0.5436054423 4.527637000E−08
    0.0 −0.9992002130 −0.9992000000 2.130000000E−07
    −0.5 −0.6017332810 −0.6017333223 4.129203000E−08
    −1.0 0.1342165142 0.1342164396 7.470826874E−08
    −1.5 0.6252890662 0.6252890617 4.510941000E−09
    −2.0 0.8531473885 0.8531473961 7.543603848E−09
    −2.5 0.9446752749 0.9446752795 4.629439800E−09
    −3.0 0.9794667886 0.9794667902 1.994434944E−09

     | Show Table
    DownLoad: CSV

    Figure 4 (a)–(b) shows profile of the closed form solution and HPSTM solution at α = 1.The profile of error between both solutions |ωExactHPSTM| for nonlinear time fractional Kersten-Krasil'shchik coupled KdV-mKdV nonlinear system when c = 1 and α = 1 for 0≤η≤0.01 and -3≤ξ≤3 for Eq. (4.1) by the application of initial condition represented by the Eq. (4.2) of ω(ξ, η) is given by Figure 4(c). Figure 4 (a)–(c) shows that profile of the HPSTM solution is analogous to exact solution of ω(ξ, η). The analytical solutions gained by HPSTM have high precisions at sixth term approximation. The numerical solutions represent large level of precisions between exact solution and HPSTM solution for ω(ξ, η). It can be analyzed by the Figure 5 that as spatial coordinate vary with time it gives to first increase and then decrease in the ω(ξ, η) for wave propagation in nonlinear plasma medium at η = 0.01. Figure 6 shows the comparison of profile of ω(ξ, η) at different values of α for -3≤ξ≤3 and η≤0.01.

    Figure 4.  Profile of ω(ξ, η) for Eq. (4.1) when c = 1: (a) Exact solution, (b) HPSTM solution at α = 1, (c) Absolute Error |ωExactHPSTM| for 0≤η≤0.01, -3≤ξ≤3 and α = 1.
    Figure 5.  Profile of exact solution and HPSTM solution of ω(ξ, η) for η = 0.01 and -3≤ξ≤3.
    Figure 6.  Comparison of profile of ω(ξ, η) at different values of α for -3≤ξ≤3 and η = 0.01.

    Table 2 represents that exact solution is analogous to HPSTM solution and have large level accuracy between the numerical results. Table 2 indicates that absolute error is 10-12order between numerical results for ω(ξ, η).

    Table 2.  Variation of exact solution with HPSTM solution of ω(ξ, η) at η = 0.01.
    ξ Exact Solution HPSTM Solution Absolute Error
    3.0 0.1947410861 0.1947410860 1.001455080E−10
    2.5 0.3197683274 0.3197683273 1.358172040E−10
    2.0 0.5214457334 0.5214457333 6.868329502E−11
    1.5 0.8349097330 0.8349097328 2.056274600E−10
    1.0 1.2764098350 1.2764098350 3.489344755E−10
    0.5 1.7570460420 1.7570460420 6.046615540E−10
    0.0 1.9996000670 1.9996000670 3.333333500E−10
    −0.5 1.7898230530 1.7898230520 4.983904460E−10
    −1.0 1.3158901820 1.3158901820 3.908333123E−10
    −1.5 0.8656915546 0.8656915546 3.031660000E−12
    −2.0 0.5419457750 0.5419457750 7.044098959E−11
    −2.5 0.3326401212 0.3326401213 5.249600400E−11
    −3.0 0.2026485202 0.2026485201 2.472076832E−10

     | Show Table
    DownLoad: CSV

    Figure 7 (a)–(b) shows profile of the closed form solution and HPSTM solution at α = 1. The error between both solutions |ρExactHPSTM| for nonlinear two component homogeneous time fractional coupled third order KdV system when α = 1 for 0≤η≤0.0001 and -5≤ξ≤5 for Eq. (4.16) by the application of initial condition represented by the Eq. (4.17) of ρ(ξ, η) is given by Figure 7(c). Figure 7 (a)–(c) shows that profile of the HPSTM solution is analogous to exact solution of ρ(ξ, η). The analytical solutions gained by HPSTM have high accuracy at 4th term approximation. The numerical solutions represent very high level of agreement between exact solution and HPSTM solution for ρ(ξ, η). It can be analyzed by the Figure 8 that as spatial coordinate vary with time it gives to first increase and then decrease in the ρ(ξ, η) for wave propagation in nonlinear plasma medium at η = 0.01. Figure 9 shows the comparison of profile of ρ(ξ, η) at different values of α for -5≤ξ≤5 and η≤0.1.

    Figure 7.  Profile of ρ(ξ, η) for Eq. (4.16): (a) Exact solution, (b) HPSTM solution at α = 1, (c) Absolute Error |ρExactHPSTM| for 0≤η≤0.0001, -5≤ξ≤5 and α = 1.
    Figure 8.  Profile of exact solution and HPSTM solution of ρ(ξ, η) for η = 0.01 and-5≤ξ≤5.
    Figure 9.  Comparison of profile of ρ(ξ, η) at different values of α for -5≤ξ≤5 and η = 0.1.

    Table 3 represents that exact solution is analogous to HPSTM solution and have large level accuracy between the numerical results. Table 3 indicates that absolute error is 10-10order between numerical results for ρ(ξ, η).

    Table 3.  Variation of exact solution with HPSTM solution at η = 0.0001.
    ξ Exact Solution HPSTM Solution Absolute Error
    5 −2.840462381 −2.840462380 1.444186835E−09
    4 −2.576135914 −2.576135916 7.505047070E−10
    3 −1.915858303 −1.915858299 4.760423501E−09
    2 −0.480345856 −0.480345845 1.127798505E−08
    1 1.718468335 1.718468318 1.736182461E−08
    0 2.999999985 2.999999910 7.500000002E−08
    −1 1.718904452 1.718904435 1.715811279E−08
    −2 −0.479962035 −0.479962025 1.021909119E−08
    −3 −1.915662023 −1.915662020 4.383116417E−09
    −4 −2.576054184 −2.576054186 1.160759310E−10
    −5 −2.840430898 −2.840430897 5.811609752E−10

     | Show Table
    DownLoad: CSV

    Figure 10 (a)–(b) shows profile of the closed form solution and HPSTM solution at α = 1. The error between both solutions |ωExactHPSTM| for nonlinear two component homogeneous time fractional coupled third order KdV System when c = 0.00001 and α = 1 for 0≤η≤0.001 and -5≤ξ≤5 for Eq. (4.16) by the application of initial condition represented by the Eq. (4.17) of ω(ξ, η) is given by Figure 10(c). Figure 10 (a)–(c) shows that profile of the HPSTM solution is analogous to exact solution of ω(ξ, η). The analytical solutions gained by HPSTM have high accuracy at 4th term approximation. The numerical solutions represent high level of agreement between exact solution and HPSTM solution for ω(ξ, η). It can be analyzed by the Figure 11 that as spatial coordinate vary with time it gives to first increase and then decrease in the ω(ξ, η) for wave propagation in nonlinear plasma medium at η = 0.001. Figure 12 shows the comparison of profile of ω(ξ, η) at different values of α for -5≤ξ≤5 and η≤0.1.

    Figure 10.  Profile of ω(ξ, η) for Eq. (4.16) when c = 0.00001 (a) Exact solution, (b) HPSTM solution at α = 1, (c) Absolute Error |ωExactHPSTM|for 0≤η≤0.001, -5≤ξ≤5 and α = 1.
    Figure 11.  Profile of exact solution and HPSTM solution of ω(ξ, η) for η = 0.001 and-5≤ξ≤5.
    Figure 12.  Comparison of profile of ω(ξ, η) at different values of α for -5≤ξ≤5 and η = 0.1.

    Table 4 represents that exact solution is analogous to HPSTM solution and have large level accuracy between the numerical results. Table 4 indicates that absolute error is 10-9 order between numerical results for ω(ξ, η).

    Table 4.  Variation of exact solution with HPSTM solution of ω(ξ, η) at η = 0.001.
    ξ Exact Solution HPSTM Solution Absolute Error
    5 −0.00004129930679 −0.00004129708040 2.226375861E−09
    4 −0.00003943183452 −0.00003942605404 5.780438670E−09
    3 −0.00003476661022 −0.00003475272434 1.388587893E−08
    2 −0.00002462197136 −0.00002459480514 2.716621800E−08
    1 −0.000009075677432 −0.000009044805675 3.087175865E−08
    0 −1.060659995000000 −1.060660172000000 1.769181166E−07
    −1 −0.000009044839294 −0.000009075643815 3.080452365E−08
    −2 −0.00002459483119 −0.00002462194532 2.711411868E−08
    −3 −0.00003475273115 −0.00003476660340 1.387225658E−08
    −4 −0.00003942605525 −0.00003943183334 5.778090290E−09
    −5 −0.00004129708058 −0.00004129930661 2.226059143E−09

     | Show Table
    DownLoad: CSV

    The HPSTM is applied precisely and accurately for study time fractional Kersten-Krasil'shchik coupled KdV-mKdV nonlinear system and time fractional two component homogeneous time fractional coupled third order KdV System. The obtained results compared with the exact solution and absolute errors between the HPSTM solution and exact solution find graphically as well as numerically. We find classical solution of these systems by putting α = 1. The results reveals that the suggested algorithm is very efficient and powerful method for solving various types nonlinear fractional coupled systems occurring in various areas of physics and technology. At the end, the proposed technique may be taken as a new tool for over other available analytical methods and used to study many fractional nonlinear coupled systems occurring in plasma.

    The authors declare no conflict of interest.



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