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Existence of fixed point results in orthogonal extended b-metric spaces with application

  • Received: 08 September 2021 Revised: 03 January 2022 Accepted: 11 January 2022 Published: 19 January 2022
  • MSC : 47H10, 54H25

  • In this paper, we investigate the conditions for the existence of fixed-point for generalized contractions in the orthogonal extended b-metric spaces endowed with an arbitrary binary relation. We establish some unique fixed-point theorems. The obtained results generalize and improve many earlier fixed point results. We also provide some nontrivial examples to corroborate our results. As an application, we investigate solution for the system of boundary value problem.

    Citation: Khalil Javed, Muhammad Naeem, Fahim Ud Din, Muhammad Rashid Aziz, Thabet Abdeljawad. Existence of fixed point results in orthogonal extended b-metric spaces with application[J]. AIMS Mathematics, 2022, 7(4): 6282-6293. doi: 10.3934/math.2022349

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  • In this paper, we investigate the conditions for the existence of fixed-point for generalized contractions in the orthogonal extended b-metric spaces endowed with an arbitrary binary relation. We establish some unique fixed-point theorems. The obtained results generalize and improve many earlier fixed point results. We also provide some nontrivial examples to corroborate our results. As an application, we investigate solution for the system of boundary value problem.



    The time-fractional singular and non-singular operator are widely used in modern sciences and technology to study the behavior and applications of nonlinear ordinary and partial differential equations [1,2,3,4]. Fractional-order models are useful to study numerous real-world problems for longtime memory, and chaotic behaviour [5]. Due to these characteristics, the nonlinear models having fractional-order derivatives have been widely attracted in many areas of fractional calculus including image processing and signal, mechanics, biophysics and bioengineering, electrical engineering, biology, viscoelasticity, rheology, and control theory [6,7,8].

    The Korteweg-de Vries (KdV) equation has extensively studied for nonlinear models describing the evaluation in time of long, unidirectional shallow water waves [9]. It was mainly presented by Boussinesq in 1877 and then retrieved by Diederik Korteweg and Gustav-de Vries in 1895 [10]. The existence solution to the a KdV equation can be seen in [11,12]. The KdV system having time-fractional derivatives attained remarkable attention in plasma physics especially in electrons acoustic waves (EAWs) propagation, due to its important role in studying diverse forms of mutual developments experimentally [13,14]. It has observed that the time-fractional operators in the system dramatically change the soliton amplitudes of the electron-acoustic solitary waves. This effects have been particularly equated with the structures of the broadband electrostatic noise experienced in the dayside auroral zone [15]. The system of coupled KdV system plays a leading part in various areas of sciences and engineering, particularly in water waves, quantum field theory, hydrodynamics and plasma physics [16,17]. It also represents the relations in extended waves with altered dispersion relations and describes iterations of water waves [18,19].

    Here, we consider the mCKdV in the form [20]

    αϕtα+3ϕ2ϕx322ψx23ϕψx3ψϕx+3λϕx123ϕx3=0,αψtα3ϕ2ψx+3ψψx+3ϕxψx3λψx+3ψx3=0,0<α1,t>0 (1.1)

    with subsidiary conditions

    ϕ(x,0)=f(x),ψ(x,0)=g(x),

    where λ is a real number to be chosen accordingly.

    The proposed mCKdV Eq (1.1) has more interesting features than classical, because the operators will be defined by an integral which play a vital role in modern technology, engineering, plasma physics, hydrodynamics and quantum theory [21]. The nonlinear differential equations contain numerous fractional differential singular and non-singular operators such as Hilfer, Caputo, Caputo-Fabrizio, Riemann-Liouville, Antagana-Balenau in Caputo's sense [22,23,24]. These operators can be reduced in Caputo's form after some parametric addition. One can assume that the fractional operator could provide a power-law estimate of the local conduct of non-differentiable functions [25]. The Caputo operator possesses a power-law kernel and has restrictions to apply in modeling physical phenomena.

    A modified laplace decomposition method (MLDM) is applied to Schrodinger-KdV equation in the sense of Atangana-Baleanu derivative in[26]. To deal successfully in such a situation, an alternative fractional operator possess a kernel with exponential decay has been introduced [27]. This novel operator is called the Caputo-Fabrizio (CF) operator which has a non-singular kernel. This operator is broadly applicable for modeling particular type of physical problems which follows the exponential decay law. Currently, mathematical and physical models having the CF operator have a remarkable development. The characteristics and applications of the above derivatives has been extensively studied (see [28,29,30,31,32,33,34,35] and the reference therein).

    There are many analytical methods that offer approximate solutions to nonlinear models, for example, perturbation methods [36,37,38], homotopy perturbation [39,40,41,42], the Adomian decomposition methods (ADM) [43,44] and Laplace Adomian decomposition methods (LADM) [45,46,47]. The modified coupled KdV model has been analyzed numerically by applying the q-homotopy approach with Caputo operator by using Petrov-Galerkin method and product approximation technique [20,48]. We will study the mCKdV equations with Caputo and CF derivatives by applying the modified double Laplace transform decomposing method (MDLDM) [49]. The decomposition method has extensively applied for many fractional models in physics and applied mathematics [50,51,52].

    Some resent contribution of the time fractional order KdV equations have been studied by using different techniques [53,54,55,56,57]. The proposed method is an essential and effective approach to finding approximate solutions of the nonlinear models having time-fractional derivatives. In the non-linear model (1.1), the time fractional derivative has been taken in the form of Caputo's and Caputo-Fabrizio operator form which have a remarkable advantages in such physical models. The model is solved by using an affective method called modified double Laplace decomposition method (MDLDM) to obtain an approximate solution. The numerical solution of the model has been discuss in the form tables follow by its plots.

    The rest of the paper is organized as follows: In Section 2, some main definitions, remarks, important results and a brief discussion of the proposed method is included. The convergence and uniqueness of the proposed method with the help of Banach contraction principle theorems are also studied in Section 3. In Section 4, the problem is discussed in Caputo's and Fabrizio forms and its solutions are obtained in a series form. We consider two numerical examples in Caputo's and Fabrizio form with the application of the proposed method, approximate solutions are obtained in the same section. This section also includes numerical discussion and figures for both the examples. Section 5 concludes the article followed by the Section 6 contain the future work in the manuscript, and Appendix contains the numerical values of the examples in the form of tables and also includes some parameters values.

    In this section, we provide some basic definitions, lemmas and remarks regarding to the proposed method. Here also given some basics rules and definition related to double Laplace transform and decomposition method.

    Definition 1. [5,35,58] Caputo's fractional derivative of positive real order α>0 of a function ϕ(x,t) is given by function ϕ:(0,)IR is defined by

    cDαϕ(x,t)=1Γ(nα)t0(ts)nα1ϕ(x,t)n(x,s)ds,n1<αn, (2.11)

    where n=[α]+1, [α] denotes the integer part of a real number α, provided the right-hand side is point-wise defined on (0,).

    Definition 2. [35,59] Let ϕ(x,t)H1(a,b), with b>a and α(0,1], then the fractional order in sense of Caputo-Fabrizio is define as

    CFDαϕ(x,t)=M(α)(2α)1α)t0ϕ(x,t)n(x,s)exp(αts1α)ds, (2.12)

    where CFDαϕ(x,t) is a fractional operator with Mittage-Leffler kernel in Caputo sense. M(α) is called normalization function with properties M(0)=M(1)=1.

    Definition 3. [60] For a ϕ(x,t), where x,t>0 lies in xt-plane, the double Laplace transform of the function ϕ(x,t) is defined by

    LxLt[ϕ(x,t)]=0epx0estϕ(x,t)dtdx, (2.13)

    where p and s are complex numbers.

    Definition 4. [61,62] Applying the definition of double Laplace transform on fractional order derivative with respect t and x in Caputo sense is given by

    LxLt{CDαxϕ(x,t)}=pαˉϕ(p,s)n1k=0pα1kLt{ku(0,t)xk}, (2.14)
    LxLt{CDβtϕ(x,t)}=sβˉϕ(p,s)m1k=0sβ1kLx{kϕ(x,0)tk}, (2.15)

    where n=[α]+1, m=[β]+1.

    Definition 5. [61,62] Applying the definition of double Laplace transform on fractional order derivative with respect t and x in Caputo-Fabrizio sense is given by

    LxLt{CFDα+rxϕ(x,t)}=M(α)P+α(1p)[pr+1LxLtϕ(p,s)nk=1prkLt{kϕ(0,t)xk}], (2.16)
    LxLt{CFDβ+rtϕ(x,t)}=M(β)s+β(1s)[sr+1LxLtϕ(p,s)mk=1srkLx{kϕ(x,0)tk}], (2.17)

    where n=[α]+1, m=[β]+1 for r=0,1. For Eq (2.17), with normalization property hold, we can write

    LxLt{CFDαtϕ(x,t)}=1s+α(1s)[sLxLtϕ(x,t)Lxϕ(x,0)],
    LxLt{CFDβtϕ(x,t)}=1s+β(1s)[sLxLtϕ(x,t)sLtϕ(x,0)Lxtϕ(x,0)].

    From the above definitions, we can conclude that

    LxLtϕ(x,t)ψ(x,t)=ˉϕ(p,s)ˉψ(p,s)=Lxϕ(x,t)Ltψ(x,t). (2.18)

    The inverse double Laplace transform L1xL1t{ˉϕ(x,t)}=ϕ(x,t), is represented by a complex double integral formula

    L1xL1t{ˉϕ(x,t)}=12πic+iciestd+idiepxˉϕ(p,s)dpds, (2.19)

    where ˉϕ(p,s) is an analytic function p and s defined in the region by the inequalities Re (p)c and Re (s)d, where c,dR to be considered accordingly.

    The proposed method MDLDM is hybrid method used widely for non-linear ordinary or partial differential equations. It is the combination of double Laplace and Adomian decomposition method to obtain an approximate solution for problems in hand. To discuss the analysis of the proposed method, we consider the following coupled non-linear problems:

    Lϕ(x,t)+Rϕ(x,t))+N1(ϕ,ψ))=f1(x,t),Lψ(x,t)+Rψ(x,t))+N1(ϕ,ψ))=f2(x,t),tR, (2.21)

    where L=cDαt(.) is the fractional-time derivative in Caputo's form, R1, R2 are the operators contains the linear terms of Eq (1.1), N1, N2 are the non-linear operators and f1(x,t), f2(x,t) are some external functions. Applying double Laplace on both sides to Eq (2.21), we obtain

    LxLt{cDαtϕ}+LxLt{R1ϕ}+LxLt{N1(ϕ,ψ)}=LxLt{f1(x,t)},LxLt{cDαtψ)}+LxLt{R2ψ)}+LxLt{N2(ϕ,ψ)}=LxLt{f2(x,t)}. (2.22)

    Using the scheme defined above of double Laplace on the nth-derivative in Caputo's form, we obtain

    LxLt{ϕ(x,t))}=G1(p,s)1sαLxLt{R1ϕ(x,t))}1sαLxLt{N1(ϕ,ψ)},LxLt{ψ(x,t))}=G2(p,s)1sαLxLt{R1ψ(x,t))}1sαLxLt{N2(ϕ,ψ)}, (2.23)

    where

    G1(p,s)=sαLxLt{ϕ(x,t))}n1k=0sα1kLx{kϕ(x,0)tk}+f1(x,t),G2(p,s)=sαLxLt{ψ(x,t))})n1k=0sα1kLx{kψ(x,0)tk}+f2(x,t). (2.24)

    Consider the series solution of the form

    ϕ(x,t))=n=0ϕn(x,t),ψ(x,t))=n=0ψn(x,t), (2.25)

    let N1 and N2 be the non-linear operators in the model are defined by

    N1(ϕ,ψ)=n=0An,N2(ϕ,ψ)=n=0Bn, (2.26)

    where An and Bn are well known Adomian polynomials [50] of the functions ϕ0,ϕ1,ϕ2, and ψ0,ψ1,ψ2, respectively. For convince consider An can be described by the following formula:

    An(ϕ0,,ψ0,)=1n!dndλn[N1nk=0λkϕk(x,t)nk=0λkψk(x,t)]λ=0. (2.27)

    Applying an inverse double Laplace on both sides to Eq (2.3):

    n=0ϕn(x,t)=L1xL1tG1(p,s)L1xL1t{1sαLxLt{R1ϕ(x,t))}}L1xL1t{1sαLxLtn=0An},n=0ψn(x,t)=L1xL1tG2(p,s)L1xL1t{1sαLxLt{R2ψ(x,t))}}L1xL1t{1sαLxLtn=0Bn},

    equating terms on both sides, we obtain

    ϕ0=L1xL1t[G1(p,s)],ψ0=L1xL1t[G2(p,s)],ϕ1=L1xL1t{1sαLxLt{R1ϕ0}}L1xL1t{1sαLxLtn=0A0},ψ1=L1xL1t{1sαLxLt{R1ψ0}}L1xL1t{1sαLxLtn=0B0},ϕ2=L1xL1t{1sαLxLt{R1ϕ1}}L1xL1t{1sαLxLtn=0A1},ψ2=L1xL1t{1sαLxLt{R1ψ1}}L1xL1t{1sαLxLtn=0B1},ϕ3=L1xL1t{1sαLxLt{R1ϕ2}}L1xL1t{1sαLxLtn=0A2},ψ2=L1xL1t{1sαLxLt{R1ψ2}}L1xL1t{1sαLxLtn=0B2}.

    In general, the following recursive formulas can be obtained, the final solutions can be obtained as

    ϕn+1=ϕ(x,0)L1xL1t{1sαLxLt{R1ϕn}}L1xL1t{1sαLxLtn=0An}, (2.29)
    ψn+1=ψ(x,0)L1xL1t{1sαLxLt{R1ψn}}L1xL1t{1sαLxLtn=0Bn}, (2.30)

    for numerical purposes we take α=1, the exact solution can be obtained as

    limn(ϕn,ψn)=(ϕ,ψ). (2.31)

    Similar procedures can be used to a problem having Caputo-Fabrizio fractional-time derivative to obtain a recursive relation.

    In this section, we are discussing the existence and uniqueness of the solutions (2.29) and (2.30) of the general coupled time fractional non-linear partial differential equation (2.21). The following theorems are taken from [63].

    Theorem 1. (Uniqueness theorem) For 0<σ<1, the solution (2.29) of Eq (2.21) is a unique solution, where σ=(κ1+κ2+κ3)tα+1Γ(α).

    Proof. We create a mapping T : B B where B=(C[J],.) is the Banach space of all continuous functions on J=[0,T] with the norm .. We can write Eq (2.29) in the following form:

    ϕn+1=ϕ(x,0)+L1xL1t{1sαLxLt(Lϕn+Mϕn+Nϕn)},

    where L=322ψx2+3λ2ϕx2, M=3ϕx3 and N=3ϕ22ψx23ψϕx3ϕψx. Let Lϕ, Mϕ and Nϕ are also Lipschitzian with |LϕLˉϕ|<κ1|ϕˉϕ|, |MϕMˉϕ|<κ2|ϕˉϕ| and |NϕNˉϕ|<κ3|ϕˉϕ| where κ1, κ2 and κ3 are Lipschitz constants, ϕ and ˉϕ are the function's distinct values. Now we proceed as follow:

    TϕTˉϕ=maxtJ|L1xL1t{1sαLxLt(Lϕ+Mϕ+Nϕ)}L1xL1t{1sαLxLt(Lˉϕ+Mˉϕ+Nˉϕ)}|maxtJ|N1{1sαLxLt(LϕLˉϕ)}+LxL1t{1sαLxLt(MϕMˉϕ)}+LxL1t{1sαLxLt(NϕNˉϕ)}|maxtJ|κ1L1xL1t{1sαLxLt(ϕˉϕ)}+κ2L1xL1t{1sαLxLt(ϕˉϕ)}+κ3L1xL1t{1sαLxLt(Nϕˉϕ)}|maxtJ(κ1+κ2+κ3)|L1xL1t{1sαLxLt(ϕˉϕ)}|=(κ1+κ2+κ3)t(α1)Γ(α)ϕˉϕ.

    The mapping is contraction under the condition 0<σ<1. As a result of the Banach fixed point theorem for contraction, Eq (2.21) has a unique solution. This marks the end of the proof.

    Next we discuss convergence analysis of the problem.

    Theorem 2. (Convergence theorem) The solution of Eq (2.21) in general forum will be convergence.

    Proof. The Banach space of all continuous functions on the interval J with the norm ϕ = maxtJϕ is denoted as (C[J],.). Define the {Sn} sequence of partial sums i.e Sn=nj=0. With nm, let Sn and Sm be arbitrary partial sums. In this Banach space, we will show that Sn is a Cauchy sequence. We obtain by employing a new formulation of Adomian polynomials.

    P(Sn)=ˉAn+n1r1=0ˉAr1,Q(Sn)=ˉAn+n1r2=0ˉAr2,

    now

    SnSm=|nj=0ϕjmk=0ϕk|=maxtJ|nj=m+1ϕj|maxtJ|L1xL1t{1sαLxLt(nj=m+1Lϕj1)}+L1xL1t{1sαLxLt(nj=m+1Mϕj1)}+L1xL1t{1sαLxLt(nj=m+1Aj1)}|=maxtJ|L1xL1t{1sαLxLt(n1j=mLϕj)}+L1xL1t{1sαLxLt(n1j=mMϕj)}+L1xL1t{1sαLxLt(n1j=m(Aj))}|maxtJ|L1xL1t{1sαLxLt(n1j=mLSn1LSm1)}+L1xL1t{1sαLxLt(n1j=mMSn1MSm1)}+L1xL1t{1sαLxLt(n1j=mNSn1NSm1)}|κ1maxtJ|L1xL1t{1sαLxLt(Sn1Sm1)}|+κ2maxtJ|L1xL1t{1sαLxLt(Sn1Sm1)}|+κ3maxtJ|L1xL1t{1sαLxLt(Sn1Sm1)}|=(κ1+κ2+κ3)tα1Γ(α)Sn1Sm1.

    Choosing n=m+1, then

    Sm+1SmσSmSm1σ2Sm1Sm2σmS1S0,

    with σ=(κ1+κ2+κ3)tα1Γ(α), by using the following triangular inequality

    SnSmSmSm+1Sm+1Sm+2σmS1S0(σm+σm+1++σn)S1S0σm(1+σ+σ2++σnm1)S1S0σm(1σnm1σ)ϕ1.

    Now by definition 0<σ<1, we have 1σnm<1, thus we have

    SnSmσm1σmaxtJϕ1, (3.1)

    and also as |ϕ|< (ϕis bounded), therefore, SnSm0, hence Sn is a Cauchy sequence in the Banach space B, so the series nj=0ϕj is convergent.

    Remark 1. Theorems 1 and 2 can also be applicable to the solution (2.30) for its uniqueness and convergent.

    In this section, we illustrate some examples on Eq (1.1) with time-fractional derivatives in the form of Caputo and Caputo-Fabrizio operators in each case, and apply the proposed method discussed in this section with (f1,f2)=0.

    Example 1. Consider the following (mCKdV)[20] in Caputo's form

    cDαtϕ+3ϕ2ϕx322ψx23ϕψx3ψϕx+3λϕx123ϕx3=0,cDαtψ+3ψψx+3ϕxψx3ϕ2ψx3λψx+3ψx3=0,0<α1,t>0, (4.1)

    with initial conditions

    ϕ(x,0)=r12k+ktanh(kx),ψ(x,0)=λ(r1+k)2r1+r1tanh(kx). (4.2)

    The exact solution of Eq (4.1) for α=1 is [20]

    ϕ(x,t)=r12k+ktanh(ξ),ψ(x,t)=λ(r1+k2r1+r1tanh(ξ), (4.3)

    where

    ξ=kx+k4(6λ4k2kλr1+3r21k2)t.

    Apply the modified double Laplace transform decomposition (MDLDM) scheme discussed in this section to Eq (4.1) and single Laplace transform to Eq (4.2), we obtain the following recurrence relations:

    ϕ0=G1(p,s),ϕn+1=t(n+1)αΓ((n+1)α+1)[3An+32ψnxx+3Bn+3Cn3λϕnx+12ϕnxxx],ψ0=G2(p,s),ψn+1=t(n+1)αΓ((n+1)α+1)[3Dn3En+3Fn+3λψnxψnxxx], (4.4)

    for n0. The Adomian polynomials An,Fn,n=1,2,3, for nonlinearity appears in Eq (4.4) are calculated by using the general rules shown in Eq (2.27)

    A0=ϕ20ϕ0x,A1=2ϕ0ϕ1ϕ0x+ϕ20ϕ1x,A2=2ϕ0ϕ2ϕ0x+ϕ21ϕ0x+2ϕ0ϕ1ϕ1x+ϕ20ϕ2x,B0=ϕ0ψ0x,B1=ϕ1ψ0x+ϕ0ψ1x,B2=ϕ2ψ0x+ϕ1ψ1x+ϕ0ψ2x,C0=ψ0ϕ0x,C1=ψ1ϕ0x+ψ0ϕ1x,C2=ψ2ϕ0x+ψ1ϕ1x+ψ0ϕ2x,D0=ψ0ψ0x,D1=ψ1ψ0x+ψ0ψ1x,D2=ψ2ψ0x+ψ1ψ1x+ψ0ψ2x,E0=ϕ0xψ0x,E1=ϕ1xψ0x+ϕ0xψ1x,E2=ϕ2xψ0x+ϕ1xψ1x+ϕ0xψ2x,F0=ϕ20ψ0x,F1=2ϕ0ϕ1ψ0x+ϕ20ψ1x,F2=2ϕ0ϕ2ψox+ϕ21ψ0x+2ϕ0ϕ1ψ1x+ϕ20ψ2x. (4.5)

    For more details, one can see [51,52,64]. Plugging Eq (4.5) in Eq (4.4), we obtain

    ϕ0=r12k+ktanh(kx),ψ0=λ(r1+k)2r1+r1tanh(kx),ϕ1=tα4r1Γ(α+1)[(3r314r1k46r1λk2+6λk3)sech2(kx)],ψ1=tα4kΓ(α+1)[(4k4r16λk3+6λk2r1+3r31)sech2(kx)],ϕ2=t2α(8r21k)Γ(2α+1)[η1tanh(kx)sech2(kx)],ψ2=t2α(16r1k2)Γ(2α+1)[(a1tanh(kx)(a2cosh(2kx))+a3tanh(kx)))sech4(kx)],ϕ3=t3α(32r31k)Γ(3α+1)[(2b0+3sech2(kx)(2r1tanh(kx)(b3sech2(kx))+b2sech2(kx)))sech2(kx)],ψ3=t3α(32r21k3)Γ(3α+1)[3c1c2tanh(kx)sech4(kx)(2c0+3sech2(kx))(c3sech2(kx)sech2(kx))],

    where the coefficients given above can be seen in Appendix. It should be noted that, other terms can be calculated in the similar way. The final solutions can be obtained

    ϕ(x,t)=n=0ϕ(x,t),ψ(x,t)=n=0ψn(x,t). (4.6)

    For numerical purposes we take α=1, the exact solution can be obtained as

    limn(ϕn,ψn)=(ϕ,ψ).

    For the numerical illustrations, Figure 1 depicts obtained solutions ϕ and ψ in Eq (4.6) associated with the modified coupled Korteweg-de Vries (mCKdV) Eq (4.1). Thus the waves solutions ϕ(x,t) and ψ(x,t) in Figure 1(a), (b) reveals the evolution of the shock excitations. The three-dimensional profiles of ϕ(x,t) and ψ(x,t) in Figure 1(c), (d) manifest sudden changes in the potential fields for the spatial variables 10x10. We observe that the mCKdV equations describe nonlinear evolution of the waves, suffered by weak dispersion effect in an inviscid fluid. Thus the nonlinear steeping attributed to temporal evolution excites the shocks. For the impact of the time fraction coefficient α on the waves characteristics, we have displayed solutions (4.6) versus x at α=0.1,0.2,0.4,1, see Figure 2(a), (b). Notice that a degree enhancement in α modifies the steeping effect and therefore rise the waves amplitudes. Similarly Figure 2(c), (d) show the nature of the MDLDM method in Caputo's sense for different values of α and time when spatial variable x is kept constant of the Eq (4.6) in Example 1. The wave solutions are revealing the propagation of monotonic shocks. Figure 3(a), (b) show the error plots of the Table 1 (see Appendix).

    Figure 1.  (a) and (b): Comparison of exact (Solid curve for α=1) with approximate (ϕ,ψ)-solution (Dashed curves for α=0.5) by MDLDM, (c) and (d): 3D plots for exact and approximate (ϕ,ψ)-solution via MDLDM for Example 1.
    Figure 2.  (a) and (b): Comparison between approximate and exact solutions when α values approaching 1, (c) and (d): MDLDM Caputo solution when time and α are changing with fixed x-values (x = 0.2) for b = k = 0.3, λ=1.5 of Example 1.
    Figure 3.  (a) and (b): The absolute error plots of the Table 1.

    Example 2. Consider the following example having time fractional derivative in Caputo-Fabrizio (CF) form

    CFDαtϕ+3ϕ2ϕx322ψx23ϕψx3ψϕx+3λϕx123ϕx3=0,CFDαtψ+3ψψx+3ϕxψx3ϕ2ψx3λψx+3ψx3=0,0<α1,t>0. (4.7)

    With the help of Eq (2.17) and the procedure used in Example 1, we can obtain the following series solutions in Caputo-Fabrizio form

    ϕ0=r12k+ktanh(kx),ψ0=λ(r1+k)2r1+r1tanh(kx),ϕ1=1+α(t1)4r1[(3r314r1k46r1λk2+6λk3)sech2(kx)],ψ1=1+α(t1)4k[(4k4r16λk3+6λk2r1+3r31)sech2(kx)],ϕ2=h1(t)8r21k[η1tanh(kx)sech2(kx)],ψ2=h1(t)(16r1k2)[(a1tanh(kx)(a2cosh(2kx))+a3tanh(kx)))sech4(kx)],ϕ3=h2(t)(32r31k)[(2b0+3sech2(kx)(2r1tanh(kx)(b3sech2(kx))+b2sech2(kx)))sech2(kx)],ψ3=h2(t)(32r21k3)[(2c0+3sech2(kx)(c1tanh(kx)(c3sech2(kx)sech2(kx)(3c2sech2(kx)))))sech2(kx)],

    where

    h1(t)=1/2α2t2+α22α+12α2t+2αt,h2(t)=3/2α3t23/2α2t2+α33α2+3α13α3t+6α2t3αt1/6α3t3.

    Other terms can be calculated in the similar way. The general solutions can be obtained in the form

    ϕ(x,t)=n=0ϕn(x,t),ψ(x,t)=n=0ψn(x,t). (4.8)

    For numerical purposes we take α=1, the exact solution can be obtained as

    limn(ϕn,ψn)=(ϕ,ψ).

    The shock wave solutions ϕ(x,t) and ψ(x,t) in Eq (4.8) for the modified coupled Korteweg-de Vries (mCKdV) Eq 4.1 with Caputo's Fabrizio operators (CF) are depicted in Figure 4(a), (b) against x. Obviously, the approximate Fabrizio solution (red stared dotted and blue dashed, black dotted curves) in both the plots (a) and (b) by MDLDM method is approaching to the exact solution (black solid curve) of the Eq (4.8) in Example 2, the corresponding plots in three dimension are shown in Figure 4(c), (d).

    Figure 4.  (a) and (b): Comparison between the exact with approximate CF (ϕ,ψ)-solution for k = b = 0.5, λ=1.5, (c) and (d): 3D plots for exact and approximate (ϕ,ψ)-solution for Example 2.

    Figure 5(a), (b) show the nature of the MDLDM method in Fabrizio's sense for different values of α and time when spatial variable x is kept constant of the Eq (4.6) in Example 2. For the purpose of error analysis, we have depicted the absolute of the difference of exact and approximate solutions |Exact(ϕ(x,t)ψ(x,t))| and for mCKdV equation, see Figure 6(a), (b). Notice that the difference of the wave solutions from the exact solutions is much small. It signifies the importance of the MDLDM for the approximate solutions. The observed errors are inserted in Table 2 (see Appendix) and their related plots are shown in Figure 6(a), (b) which shows the effectiveness of our proposed method to such non-linear modified coupled Korteweg-de Vries (mCKdV) equations. A comparative analysing of the problem in Tables 36 (see Appendix) between the two methods (MDLDM and q-HATM[20]) are shown. By analysing these tables, one can conclude easily the validation and accuracy of the proposed method over the q-HATM. Figure 7(a)–(d) are also show a remarkable results for the presented method.

    Figure 5.  (a) and (b): MDLDM Caputo-Fabrizio solution when time and α are changing with fixed x=0.2 for b = k = 0.3, λ=1.5 of Example 2.
    Figure 6.  (a) and (b): The absolute error plots of the Table 2.
    Figure 7.  (a) and (b): Comparison between MDLDM and q-HATM[20] for n = 3, k = b = 0.5, λ=1.5, α=1 and h = -1 for Example 1, (c) and (d): comparison between MDLDM and q-HATM[20] with the same parametric data for Example 2.

    We have studied analytically the mCKdV with Caputo's and Caputo-Fabrizio (CF) derivatives using MDLDM. The proposed method is applied to the mCKdV system and approximate results are obtained in the form of series solutions by considering examples. The error analysis of the proposed method is also discussed. It is observed that the suggested scheme is one of the vigorous tools to investigate nonlinear problems. The main advantage of the suggested method is to analyze analytical solutions of the considered problem without using linearization and discretization. For validation, two examples in Caputo's and CF form are studied numerically and the results are compared with the numerical results with a physical interpretation. When non-integer order was employed in models including non-integer order derivatives, many scientists were less interested. For non-integer order fractional time derivative with singular and non-singular kernels of the mKdV equations, the MDLDM can be used. The MDLDM approach for handling nonlinear evolutionary equations was shown to have a broader applicability in this work. Physical meaning was given to the parameters in the resulting travelling wave solution. For varied values of the parameters, a three-dimensional simulation of wave behaviour is built, which alters the wave profile of the equation.The wave dynamics are discussed with the help of simulation. The results show that this strategy worked. The new wave solution presented in this work can open up new avenues for future research.

    A modified coupled time fractional KdV equation with Caputo's and Caputo-Fabrizio operators is considered in this manuscript. The characteristics wave profiles of the solution to the equation show some interesting behaviour especially when altering in the parameters. These interesting behaviours may be more interesting to transform the modified coupled time fractional KdV to modified coupled Schrodinger and sine-Gordon equations with Caputo's and Caputo-Fabrizio operators.

    The authors are grateful to the Spanish Government for its support through grant RTI2018-094336-B-100 (MCIU/AEI/FEDER, UE) and to the Basque Government for its support through Grant IT1207-19.

    It is declared that all the authors have no conflict of interest regarding this manuscript.

    η1=(9r61+r41(36k2λ24k4)36r31k3λ+4r21k4(2k2+3λ)224r1k5λ(2k2+3λ)+36k6λ2),a1=(3r314r1k4+6r1λk26λk3)),a2=((3r314r1k4+6r1λk26λk3)+3r31+4r1k4+6r1λk26λk3),a3=8r1k4((3r314r1k466r1λk2+66λk3)+18r1λ(kr1)),b0=(3r314r1k4)3216r1λ2k4(r1k)2(r21+4k4)+36r21λk2(r1k)(3r4124r21k416k8)432λ3k6(r1k)3,b2=36r1λ2k4(r1k)2(3r21+14k4)6r21λk2(r1k)(9r4160r21k464k8)3r31(r212k4)(3r214k4)2+216λ3k6(r1k)3,b3=2r1g((3r314r1k4)2+60r1λk2(r1k)(3r2120k4)+2592r1λk6(r1k)+180λ2k4(r1k)2g),c0=(3r314r1k4+6r1λk26λk3)3,c1=36r1λ2k4(r1k)2(9r21124k4)18r21λk2(r1k)(9r41152r21k4+1296k8)r31(3r214k4)2(3r2120k4)216λ3k6(r1k)3+6r1k4,c2=(3r314r1k4)24r1λk2(r1k)(105r213692k4)11520r1λk6(r1k)780λ2k4(r1k)2,c3=8r1r1kλ(9r31+216r1k4116r1k4+18λk2(r1k)).

    Error analysis tables:

    Please notes that, for error analysis, we consider α=1, b=k=0.5, λ=1.5, n = 3 and h = -1.

    Table 1.  Comparison of Caputo's solution with exact solution for Example 1.
    t x Exact ϕ Exactϕ Exact ψ Exactψ
    0.01 -10 4.7725E(-05) 4.7720E(-05) 1.1932E(-11) 1.0000E(-01) 1.0000E(-01) 2.5353E(-05)
    0.02 . 5.0172E(-05) 5.0172E(-05) 1.9286E(-10) 1.0019E(-01) 1.0001E(-01) 5.0706E(-05)
    0.03 . 5.2744E(-05) 5.2743E(-05) 9.8635E(-10) 1.0001E(-01) 1.0015E(-01) 7.6059E(-05)
    0.01 -5 7.0336E(-03) 7.0336E(-03) 1.4449E(-09) 1.0070E(-01) 1.0107E(-01) 3.7126E(-03)
    0.02 . 7.3915E(-03) 7.3915E(-03) 1.3553E(-09) 1.0074E(-01) 1.0148E(-01) 7.4247E(-03)
    0.03 . 7.7676E(-03) 7.7675E(-03) 4.8942E(-08) 1.0078E(-01) 1.0189E(-01) 1.1136E(-02)
    0.01 0 5.1250E(-01) 5.1266E(-01) 1.6117E(-04) 1.5125E(-01) 1.6518E(-01) 1.3931E(-01)
    0.02 . 2.4980E(-01) 5.2627E(-01) 1.2893E(-04) 1.5250E(-01) 1.8030E(-01) 2.7798E(-01)
    0.03 . 5.3740E(-01) 5.4178E(-01) 4.3515E(-03) 1.5374E(-01) 1.9549E(-01) 4.1601E(-01)
    0.01 5 9.9360E(-01) 9.9363E(-01) 4.5887E(-09) 1.9936E(-01) 1.9973E(-01) 3.7128E(-03)
    0.02 . 9.9394E(-01) 9.9394E(-01) 4.8954E(-08) 1.9939E(-01) 2.0014E(-01) 7.4254E(-03)
    0.03 . 9.9423E(-01) 9.9423E(-01) 2.0582E(-07) 1.9942E(-01) 2.0054E(-01) 1.1138E(-02)
    0.01 10 9.9996E(-01) 9.9996E(-01) 1.1698E(-11) 2.0000 E(-01) 2.0000E(-01) 2.5353E(-05)
    0.02 . 9.9996E(-01) 9.9996E(-01) 1.8532E(-10) 2.0000E(-01) 2.0000E(-01) 5.0707E(-05)
    0.03 . 9.9996E(-01) 9.9996E(-01) 9.2900E(-10) 2.0000E(-01) 2.0000E(-01) 7.6061E(-05)

     | Show Table
    DownLoad: CSV
    Table 2.  Comparison of Caputo-Fabrizio solution with exact solution for Example 2.
    t x Exact ϕ Exactϕ Exact ψ Exactψ
    0.01 -10 6.7725E(-04) 4.7520E(-05) 1.4932E(-11) 1.0004E(-01) 1.0040E(-01) 2.5356E(-05)
    0.02 . 4.3172E(-04) 5.0152E(-05) 1.9276E(-10) 1.0019E(-01) 1.0001E(-01) 5.0706E(-05)
    0.03 . 6.7440E(-04) 5.2543E(-05) 9.8637E(-10) 1.0001E(-01) 1.0015E(-01) 7.6056E(-05)
    0.01 -5 7.0346E(-04) 7.5336E(-03) 1.4479E(-09) 1.0070E(-01) 1.0107E(-01) 3.7126E(-03)
    0.02 . 7.3945E(-03) 7.3515E(-03) 1.3557E(-09) 1.0743E(-01) 1.0148E(-01) 7.4246E(-03)
    0.03 . 7.7655E(-03) 7.7575E(-03) 4.8946E(-08) 1.0078E(-01) 1.0189E(-01) 1.1166E(-02)
    0.01 0 5.1550E(-01) 5.5266E(-01) 1.6116E(-04) 1.5125E(-01) 1.6518E(-01) 1.6931E(-01)
    0.02 . 2.4980E(-01) 5.2527E(-01) 1.2896E(-04) 1.5260E(-01) 1.8030E(-01) 2.7768E(-01)
    0.03 . 5.3740E(-01) 5.4678E(-01) 4.3516E(-03) 1.5374E(-01) 1.9534E(-01) 4.1606E(-01)
    0.01 5 9.9360E(-01) 9.6363E(-01) 4.5867E(-09) 1.9936E(-01) 1.9973E(-01) 3.6128E(-03)
    0.02 . 9.9394E(-01) 9.6394E(-01) 4.8964E(-08) 1.9939E(-01) 2.0014E(-01) 7.4654E(-03)
    0.03 . 9.9423E(-01) 9.6423E(-01) 2.0586E(-07) 1.9942E(-01) 2.0054E(-01) 1.1136E(-02)
    0.01 10 9.9996E(-01) 9.6996E(-01) 1.1696E(-11) 2.0000 E(-01) 2.0000E(-01) 2.5653E(-05)
    0.02 . 9.9996E(-01) 9.6996E(-01) 1.8562E(-10) 2.0000E(-01) 2.0000E(-01) 4.0707E(-05)
    0.03 . 9.9996E(-01) 9.96996E(-01) 9.2906E(-10) 2.0000E(-01) 2.0000E(-01) 7.6555E(-05)

     | Show Table
    DownLoad: CSV
    Table 3.  Comparison between ϕ(x,t) solution with q-HATM[20] Q3(x,t) for Example 1.
    t x Exact [18] q-HATM[20] |ExactqHATM| Exactϕ MDLDM |Exactϕ|
    0.1 5.0 0.99360 0.98290 1.0700 ×1003 1.00000 1.00000 4.6000×1009
    0.2 0.99390 0.97230 2.1600 ×1002 1.00000 1.000000 4.9600×1009
    0.3 0.99420 0.96160 4.0000 ×1003 1.00000 1.00000 2.0580×1009
    0.1 6.0 0.99760 0.99370 8.0000×1003 0.99760 0.99760 1.0970×1008
    0.2 0.99780 0.98970 1.2100×1002 0.99780 0.99780 5.3000×1008
    0.3 0.99790 0.98580 3.3660×1005 0.99790 0.99790 7.7000×1010
    0.1 7.0 0.99910 0.99770 1.5000×1003 0.99910 0.99910 2.4000×1010
    0.2 0.99920 0.99620 3.0000 ×1003 0.99920 0.99920 3.7300×1009
    0.3 0.99920 0.99470 4.5000×1003 0.99920 0.99920 1.8620×1008
    0.1 8.0 0.99970 0.9991 5.0000 ×1004 0.99970 0.99970 8.6000×1011
    0.2 0.99970 0.99860 1.1000 ×1003 0.99970 0.99970 1.3660 ×1009
    0.3 0.99970 0.99810 1.6000×1003 0.99990 0.99970 6.8440×1009
    0.1 9.0 0.99990 9.99700 1.9900 ×1004 0.99990 0.99990 3.2000×1011
    0.2 0.99990 9.99500 4.0100 ×1004 0.99990 0.99990 5.0300×1010
    0.3 0.99990 0.999300 6.06200×1004 0.99990 0.99990 2.5230×1009
    0.1 10 1.00000 0.99990 7.3200 ×1005 1.00000 1.00000 1.1700×1011
    0.2 1.00000 0.99980 1.4760×1004 1.00000 1.00000 1.8530×1010
    0.3 1.00000 0.99980 2.2310×1004 1.00000 1.00000 9.2900×1009

     | Show Table
    DownLoad: CSV
    Table 4.  Comparison between ψ(x,t) solution with q-HATM[20] S3(x,t) for Example 1.
    t x Exact [20] qHATM [20] Exactq-HATM Exactϕ MDLDM Exactϕ
    0.1 5.0 1.99360 1.98290 1.0700 ×1003 1.99360 1.99730 3.7000×1003
    0.2 0.99390 1.97230 2.1600 ×1002 1.99390 2.00140 7.4000×1003
    0.3 1.99420 1.96160 3.2700×1002 1.99420 2.00540 1.1100×1002
    0.1 6.0 1.99760 1.99370 4.0000×1003 1.99760 1.99900 1.4000 ×1003
    0.2 1.99780 1.98970 8.0000 ×1002 1.99780 2.00050 2.8000×1003
    0.3 1.99790 1.98580 1.2100×1002 1.99790 2.00200 4.1000×1003
    0.1 7.0 1.99910 1.99770 1.5000×1003 1.99910 1.99960 5.0000×1004
    0.2 1.99920 1.99620 3.0000 ×1003 1.99920 2.00020 1.0000×1003
    0.3 1.99920 1.99470 4.5000×1003 1.99920 2.00070 1.5000×1003
    0.1 8.0 1.99970 1.99910 5.0000 ×1004 1.99970 1.99990 1.8720×1004
    0.2 1.99970 1.99860 1.1000 ×1003 1.99970 2.00010 3.7450×1004
    0.3 1.99970 1.99810 1.6000×1003 1.99990 2.00030 5.6170×1004
    0.1 9.0 1.99990 9.99700 1.9900 ×1004 1.99990 2.00000 6.8900×1005
    0.2 1.99990 9.99500 4.0100 ×1004 1.99990 2.00000 1.3780×1004
    0.3 1.99990 1.99930 6.0620×1004 1.99990 2.00000 2.0670×1004
    0.1 10 2.00000 1.99990 7.3200 ×1005 2.00000 2.00000 2.5350×1005
    0.2 2.00000 1.99980 1.4760×1004 2.00000 2.00000 5.0710×1005
    0.3 2.00000 1.99980 2.2310×1004 2.00000 2.00000 7.6060×1005

     | Show Table
    DownLoad: CSV
    Table 5.  Comparison between ϕ(x,t) solution with q-HATM[20] Q3(x,t) for Example 2.
    t x Exact [18] q-HATM[20] Exactq-HATM Exactϕ MDLDM Exactϕ
    0.1 5.0 0.99363 0.995590 1.9616 ×1003 0.99363 0.99363 2.6743×1007
    0.2 0.99394 0.99780 3.8576 ×1003 0.99394 0.99394 2.1272×1006
    0.3 0.99423 0.99992 5.6881×1003 1.00000 0.99423 7.1386×1006
    0.1 6.0 0.99765 0.99838 7.2768×1004 0.99765 0.99765 1.0070×1007
    0.2 0.99776 0.99919 4.3080×1003 0.99776 0.99776 8.0150×1007
    0.3 0.99787 0.99998 2.1094×1004 0.99787 0.99787 2.6891×1007
    0.1 7.0 0.99913 0.99940 2.6852 ×1004 0.99913 0.99913 3.7495×1008
    0.2 0.99918 0.9997 5.2796 ×1004 0.99910 0.99910 2.9814×1007
    0.3 0.99922 0.99999 7.7833×1004 0.99922 0.99922 1.0002×1006
    0.1 8.0 0.99980 0.99940 5.0000 ×1004 0.99970 0.99970 8.6000×1008
    0.2 0.99980 0.99864 1.1000 ×1003 0.99970 0.99970 1.3660 ×1007
    0.3 0.99980 0.99840 1.6000×1004 0.99990 0.99970 6.8440×1006
    0.1 9.0 0.99988 0.99992 3.6397 ×1005 0.99988 0.99988 5.1053×1008
    0.2 0.99989 0.99996 7.1561×1005 0.99989 0.99989 4.0593×1008
    0.3 0.99989 0.999900 1.0549×1005 0.99989 00.99989 1.3618×1007
    0.1 10 0.99996 0.99996 1.3392 ×1005 0.99996 0.99996 1.8793×1009
    0.2 0.99997 0.99996 2.633×1005 0.99996 0.99996 1.4943×1008
    0.3 0.99996 1.00000 3.8815×1005 0.99996 0.99996 5.0127×1008

     | Show Table
    DownLoad: CSV
    Table 6.  Comparison of the MDLDM ψ(x,t) solution with q-HATM[20] S3(x,t) for Example 2.
    t x ExactH qHATM [18] Exactq-HATM Exactϕ MDLDM Exactϕ
    0.1 5.0 1.99360 1.99560 1.9616 ×1003 1.99360 1.99730 3.7125×1003
    0.2 0.99390 1.99780 3.8577×1003 1.99390 2.00140 7.4231×1003
    0.3 1.99420 1.99990 5.6882×1003 1.99420 2.00540 1.1213×1002
    0.1 6.0 1.99760 1.99840 7.2768×1004 1.99760 1.99900 1.3774×1003
    0.2 1.99780 1.99920 1.4308×1004 1.99780 2.00050 2.7542×1003
    0.3 1.99790 2.00000 2.1095×1004 1.99790 2.00200 41.2970×1003
    0.1 7.0 1.99910 1.99940 2.6852×1004 1.99910 1.99960 5.0831×1004
    0.2 1.99920 1.99970 5.2797×1004 1.99920 2.00020 1.0164×1003
    0.3 1.99920 2.00000 7.7833×1004 1.99920 2.00070 1.5240×1003
    0.1 8.0 1.99970 1.99980 9.8896×1005 1.99970 1.99990 1.8721×1004
    0.2 1.99970 1.99990 1.9444 ×1004 1.99970 2.00010 3.7435×1004
    0.3 1.99970 2.00000 2.8665×1003 1.99990 2.00030 5.6130×1004
    0.1 9.0 1.99990 1.99990 3.6397 ×1005 1.99990 2.00000 6.8902×1005
    0.2 1.99990 2.00000 7.1561×1005 1.99990 2.00000 1.3777×1004
    0.3 1.99990 2.00000 1.0549×1004 1.99990 2.00001 2.0658×1004
    0.1 10 2.00000 2.00000 1.3392 ×1005 2.00000 2.00000 2.5350×1005
    0.2 2.00000 2.00000 2.6330×1004 2.00000 2.00000 5.0692×1005
    0.3 2.00000 2.00000 3.8815×1005 2.00000 2.00000 7.7.6010×1005

     | Show Table
    DownLoad: CSV


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