
This paper aims to explore and examine a fractional differential equation in the fuzzy conformable derivative sense. To achieve this goal, a novel analytical algorithm is formulated based on the Laplace-residual power series method to solve the fuzzy conformable fractional differential equations. The methodology being used to discover the fuzzy solutions depends on converting the desired equations into two fractional crisp systems expressed in ℘-cut form. The main objective of our algorithm is to transform the systems into fuzzy conformable Laplace space. The transformation simplifies the system by reducing its order and turning it into an easy-to-solve algorithmic equation. The solutions of three important applications are provided in a fuzzy convergent conformable fractional series. Both the theoretical and numerical implications of the fuzzy conformable concept are explored about the consequential outcomes. The convergence analysis and theorems of the developed algorithm are also studied and analyzed in this regard. Additionally, this article showcases a selection of results through the use of both two-dimensional and three-dimensional graphs. Ultimately, the findings of this study underscore the efficacy, speed, and ease of the Laplace-residual power series algorithm in finding solutions for uncertain models that arise in various physical phenomena.
Citation: Tareq Eriqat, Rania Saadeh, Ahmad El-Ajou, Ahmad Qazza, Moa'ath N. Oqielat, Ahmad Ghazal. A new analytical algorithm for uncertain fractional differential equations in the fuzzy conformable sense[J]. AIMS Mathematics, 2024, 9(4): 9641-9681. doi: 10.3934/math.2024472
[1] | Farzaneh Alizadeh, Samad Kheybari, Kamyar Hosseini . Exact solutions and conservation laws for the time-fractional nonlinear dirac system: A study of classical and nonclassical lie symmetries. AIMS Mathematics, 2025, 10(5): 11757-11782. doi: 10.3934/math.2025532 |
[2] | Ziying Qi, Lianzhong Li . Lie symmetry analysis, conservation laws and diverse solutions of a new extended (2+1)-dimensional Ito equation. AIMS Mathematics, 2023, 8(12): 29797-29816. doi: 10.3934/math.20231524 |
[3] | Yuqiang Feng, Jicheng Yu . Lie symmetry analysis of fractional ordinary differential equation with neutral delay. AIMS Mathematics, 2021, 6(4): 3592-3605. doi: 10.3934/math.2021214 |
[4] | Amjad Hussain, Muhammad Khubaib Zia, Kottakkaran Sooppy Nisar, Velusamy Vijayakumar, Ilyas Khan . Lie analysis, conserved vectors, nonlinear self-adjoint classification and exact solutions of generalized (N+1)-dimensional nonlinear Boussinesq equation. AIMS Mathematics, 2022, 7(7): 13139-13168. doi: 10.3934/math.2022725 |
[5] | Alessandra Jannelli, Maria Paola Speciale . On the numerical solutions of coupled nonlinear time-fractional reaction-diffusion equations. AIMS Mathematics, 2021, 6(8): 9109-9125. doi: 10.3934/math.2021529 |
[6] | Miguel Vivas-Cortez, Yasir Masood, Absar Ul Haq, Imran Abbas Baloch, Abdul Hamid Kara, F. D. Zaman . Symmetry analysis and conservation laws of time fractional Airy type and other KdV type equations. AIMS Mathematics, 2023, 8(12): 29569-29576. doi: 10.3934/math.20231514 |
[7] | A. Tomar, H. Kumar, M. Ali, H. Gandhi, D. Singh, G. Pathak . Application of symmetry analysis and conservation laws to a fractional-order nonlinear conduction-diffusion model. AIMS Mathematics, 2024, 9(7): 17154-17170. doi: 10.3934/math.2024833 |
[8] | Tamara M. Garrido, Rafael de la Rosa, Elena Recio, Almudena P. Márquez . Conservation laws and symmetry analysis of a generalized Drinfeld-Sokolov system. AIMS Mathematics, 2023, 8(12): 28628-28645. doi: 10.3934/math.20231465 |
[9] | Huizhang Yang, Wei Liu, Yunmei Zhao . Lie symmetry reductions and exact solutions to a generalized two-component Hunter-Saxton system. AIMS Mathematics, 2021, 6(2): 1087-1100. doi: 10.3934/math.2021065 |
[10] | Youness Chatibi, El Hassan El Kinani, Abdelaziz Ouhadan . Lie symmetry analysis of conformable differential equations. AIMS Mathematics, 2019, 4(4): 1133-1144. doi: 10.3934/math.2019.4.1133 |
This paper aims to explore and examine a fractional differential equation in the fuzzy conformable derivative sense. To achieve this goal, a novel analytical algorithm is formulated based on the Laplace-residual power series method to solve the fuzzy conformable fractional differential equations. The methodology being used to discover the fuzzy solutions depends on converting the desired equations into two fractional crisp systems expressed in ℘-cut form. The main objective of our algorithm is to transform the systems into fuzzy conformable Laplace space. The transformation simplifies the system by reducing its order and turning it into an easy-to-solve algorithmic equation. The solutions of three important applications are provided in a fuzzy convergent conformable fractional series. Both the theoretical and numerical implications of the fuzzy conformable concept are explored about the consequential outcomes. The convergence analysis and theorems of the developed algorithm are also studied and analyzed in this regard. Additionally, this article showcases a selection of results through the use of both two-dimensional and three-dimensional graphs. Ultimately, the findings of this study underscore the efficacy, speed, and ease of the Laplace-residual power series algorithm in finding solutions for uncertain models that arise in various physical phenomena.
In the past few decades, fractional partial differential equations (FPDEs) have received extensive attention in studies of nonlinear fields such as physics, science, biology, chemistry, mathematics, electronics, viscoelasticity, signal processing and soft materials. Obtaining the exact solutions of nonlinear FPDEs is one of the most significant goals of the research process for FPDEs. A large number of papers have presented many effective methods for constructing explicit solutions of FPDEs, such as Lie symmetry analysis [1,2,3,4,5], the Laplace transform [6], the Adomian decomposition method [7], the variational iteration method [8], the homotopy analysis method [9], the separation of variables method [10], the invariant subspace method [11], the extended direct algebraic method [12], Chebyshev series method [13], etc.
Lie symmetry analysis is a very useful tool in constructing exact solutions for nonlinear partial differential equations (PDEs). As a result of applying the Lie symmetry method, many kinds of exact solutions for integer-order PDEs have been obtained, such as similarity solutions, fundamental solutions and traveling wave solutions [14,15]. Inspired by the Lie symmetry of integer-order PDEs, researchers have extended and applied the Lie symmetry method to investigate FPDEs and constructed the group invariant solutions for numerous FPDEs. For example, Hu et al. [16] studied the exact solutions for the time-fractional KdV-type equation. Leo et al. [17] provided a general theoretical framework to extend the classical Lie theory for PDEs to the case of equations of fractional order. Wang et al. [18] performed Lie symmetry analysis on the time-fractional Harry Dym equation and constructed group invariant solutions. Lashkarian et al. [19] considered the Lie group analysis and obtained the explicit solutions of the time-fractional cylindrical Burgers equation. In addition, Erdélyi-Kober (E-K) fractional differential operators [17] can be used to establish the exact solutions for FPDEs; for instance, Cheng and Wang [20] constructed the power-series solutions to (2+1)-dimensional time-fractional Navier-Stokes equation by using an E-K fractional differential operator. In [21], Zhang and Li achieved explicit solutions to the time-fractional b-family peakon equations, which contain the mixed derivative that encompasses the time-fractional derivative and integer-order x-derivative.
Conservation laws play an important role in mathematical physics as a means to study some properties of solutions to nonlinear PDEs, and they can describe the invariable properties of the values of some physical models in nature, such as momentum, energy, mass, potential energy, electric charge and so on. It is well-known that Noether's theorem establishes a close connection between Lie symmetries and the conservation laws of PDEs [22]. Ibragimov presented a new conservation theorem in [23], and he obtained the conservation laws for PDEs without classical Lagrange equations. In recent years, Lie symmetry analysis and the conservation laws for many PDEs have been discussed, such as those for various wave equations [24], reaction-diffusion equations [25], the Rosenau-KdV-RLW equation [26], time-fractional Cahn-Allen and Klein-Gordon equations [27] and the time-fractional Caudrey-Dodd-Gibbon-Sawada-Kotera equation [28].
Nonlinear equations take the form
∑(i)ai(u,ux,⋯)DitL[u]=∑(j)bj(u,ux,⋯)DjxL[u], |
with arbitrary coefficients ai(⋅), bj(⋅) and annihilating operator L=I+d2dx2, and they are called tautological PDEs [29], which are also referred to as multi-term time-fractional differential equations. Motivated by [21], in this paper, we focus on the study of multi-term time-fractional equations, particularly the time-fractional Benjamin-Bona-Mahony-Peregrine (BBMP) equation and time-fractional Novikov equation, respectively. The BBMP equation first proposed by Peregrine [30] was derived from the Korteweg-de Vries equation. The BBMP equation is commonly used to study long waves in the shallow water of ocean beaches, drift waves in plasma and the Rossby waves in rotating fluids [31]. The BBMP equation is also known as the regularized long-wave equation. This paper focuses on the time-fractional BBMP equation, which has the following form:
∂αtu−∂αt(uxx)−uux=0, | (1.1) |
where 0<α<1, u=u(x,t) is the unknown function, x∈R is a space variable and t>0 is the time variable. In particular, when α=1, Eq (1.1) reduces to the classical BBMP equation, which has a wide range of applications in the development of optical equipment, semiconductors [32], etc. Khalique [33] utilized Lie group analysis to obtain the periodic solutions and soliton solutions and derived the conservation laws for the classical BBMP equation.
The Novikov equation is an extremely classical integrable evolution equation, which is thought to be a generalization of the Camassa-Holm equation and originally discovered by Vladimir Novikov [34], who has used it to describe fluid motion in shallow water environments. In [34], Novikov discovered the first few symmetries and studied a scalar Lax pair of the equation. In this paper, we pay attention to the time-fractional Novikov equation, which is given by
∂αtu−∂αt(uxx)+4u2ux−3uuxuxx−u2uxxx=0, | (1.2) |
where 0<α<1 and u=u(x,t) is the unknown function of space variable x and time variable t.
In view of the non-locality property of fractional derivatives, time-fractional PDEs can be used to describe problems with memory effects and genetic characteristics in real life. Thus, there is practical significance in a study of the time-fractional equations given by Eqs (1.1) and (1.2). To our knowledge, equations containing a time fractional-order mixed derivative and spatial integer-order derivative have rarely been studied, while Eqs (1.1) and (1.2) are such equations. Therefore, in this paper, we will construct the exact solutions of Eqs (1.1) and (1.2) through the use of Lie symmetry analysis and symmetry reduction. Moreover, in view of the difficulty in solving ordinary differential equations (ODEs), we introduce the E-K fractional differential operator to transform Eqs (1.1) and (1.2) into ODEs with only a single variable, and we obtain their power series solutions. In addition, the q-homotopy analysis method and invariant subspace method may be used to discuss the exact solutions of the time-fractional equations given by Eqs (1.1) and (1.2), while, in this paper, we take no account of these methods.
This paper is organized as follows. In Section 2, we will give some basic knowledge and properties of fractional calculus. Section 3 is fully dedicated to obtaining the Lie symmetry groups and exact solutions of the time-fractional BBMP equation and time-fractional Novikov equation. First, we will introduce the Lie symmetry method for general time-fractional PDEs with the Riemann-Liouville derivative. Next, infinitesimal generators for Eqs (1.1) and (1.2) will be constructed, respectively. Then, based on the obtained Lie algebras, we perform symmetry reduction and obtain the group-invariant solutions of the equations under consideration. In addition, by using the E-K fractional differential operator, the power-series solutions for Eqs (1.1) and (1.2) is also constructed. In Section 4, conservation laws for the time-fractional BBMP equation are obtained. At last, we will show the conclusion of this paper.
The purpose of this section is to review some basic properties of the Riemann-Liouville fractional integral and derivative [35], which will be used throughout this paper. Meanwhile, we will give the definition of the E-K fractional differential operator [17].
Definition 2.1. [35] The αth-order Riemann-Liouville integral operator of v(t) is defined by
Iαtv(t)=1Γ(α)∫t0(t−s)α−1v(s)ds, | (2.1) |
where Γ(x)=∫∞0e−zzx−1dz is the gamma function.
Definition 2.2. [35] The symbol ∂αtu represents the αth-order Riemann-Liouville derivative, denoted as
∂αtu={∂nu∂tn,α=n,1Γ(n−α)∂n∂tn∫t0(t−s)n−α−1u(x,s)ds,0<n−1<α<n, | (2.2) |
where u=u(x,t) is the function of the space variable x and time variable t, and ∂n∂tn is the nth-order integer derivative. Moreover, the Riemann-Liouville derivative can be expressed as
∂αtu=Dn(In−αt)u, | (2.3) |
where D is the differential operator and n=[α]+1.
Definition 2.3. [35] The adjoint operator (∂αt)∗ of the Riemann-Liouville fractional differential operator ∂αt is given by
(∂αt)∗f(t)=(−1)nIn−αdndtnf(t)=(−1)nΓ(n−α)∫t0(t−s)n−α−1dndsnf(s)ds, | (2.4) |
where In−α denotes the Riemann-Liouville integral operator.
Definition 2.4. [17] The E-K fractional differential operator Pτ,αβ of order α is defined by
(Pτ,αβF)(ξ)=m−1∏j=0(τ+j−1βξddξ)(Kτ+α,m−αβF)(ξ), | (2.5) |
where
m={[α]+1,α∉N,α,α∈N, |
and
(Kτ,αβF)(ξ)={1Γ(α)∫∞1(v−1)α−1v−(τ+α)F(ξv1β)dv,α>0,F(ξ),α=0. | (2.6) |
Lemma 2.1. [36] Let 0<γ≤1 and k1∈R. The solution of the fractional ODE
∂γtg(t)=0 |
is given by
g(t)=k1tγ−1. |
Consider the symmetry group for a time-fractional PDE of the following form:
F(∂αtu,∂αt(uxx),t,x,u,ux,uxx,⋯)=0,0<α<1, | (3.1) |
where u=u(x,t) denotes the unknown function of the space variable x and time variable t. Suppose that Eq (3.1) remains invariant under the one-parameter Lie group of infinitesimal transformations given by
{x∗=x+ϵξ(x,t,u)+o(ϵ2),t∗=t+ϵτ(x,t,u)+o(ϵ2),u∗=u+ϵη(x,t,u)+o(ϵ2), |
where ϵ≪1 is the group parameter and ξ, τ and η are smooth functions called infinitesimal generators. The admitted one-parameter Lie group of infinitesimal transformation has the following form:
V=ξ(x,t,u)∂∂x+τ(x,t,u)∂∂t+η(x,t,u)∂∂u. | (3.2) |
The Lie invariance criterion for time-fractional PDE (3.1) is
Pr(α,n)V(Δ)|Δ=0=0, | (3.3) |
where Δ=F(∂αtu,∂αt(uxx),t,x,u,ux,uxx,⋯) and n is a nonnegative integer.
The operator Pr(α,n)V denotes the prolongation of field vector V, and it is defined by
Pr(α,n)V=V+ηα,t∂∂(∂αtu)+ηα,xx∂∂(∂αtuxx)+ηx∂∂ux+ηxx∂∂uxx+⋯, | (3.4) |
where
ηα,t=Dαt(η)+ξDαt(ux)−Dαt(ξux)+Dαt(u(Dtτ))−Dα+1t(τu)+τDα+1t(u),ηα,xx=Dαt(D2x(η−ξux−τut))+ξ∂αt(uxxx)+τ∂αt(utxx),ηx=Dx(η−ξux−τut)+ξuxx+τutx,ηxx=Dxx(η−ξux−τut)+ξuxxx+τutxx,⋮ | (3.5) |
In Eq (3.5), Dt and Dx represent the total derivatives, respectively given by
Dt=∂∂t+ut∂∂u+utt∂∂ut+uxt∂∂ux+⋯,Dx=∂∂x+ux∂∂u+uxx∂∂ux+utx∂∂ut+⋯. | (3.6) |
The αth-order extended infinitesimal ηα,t given by Eq (3.5) can be expressed as follows [37]:
ηα,t=∂αtη+(ηu−αDt(τ))∂αtu−u∂αtηu−∞∑n=1(αn)Dnt(ξ)Dα−nt(ux)+∞∑n=1((αn)∂αtηu−(αn+1)Dn+1t(τ))Dα−nt(u)+μα, | (3.7) |
where
μα=∞∑n=2n∑m=2m∑k=2k−1∑r=0(αn)(nm)(kr)1k!tn−αΓ(n+1−α)(−u)r×∂m∂tm(uk−r)∂n−m+kη∂tn−m∂uk | (3.8) |
and
(nk)=n(n−1)⋯(n−k+1)k!. |
Similarly, the expression of ηα,xx is defined by [21]
ηα,xx=∂αt(ηxx+(2ηux−ξxx)ux−τxxut+(ηuu−2ξux)u2x−ξuuu3x−2τuxuxut−τuuu2xut)+∂αt(uxx)(ηu−αDt(τ)−2ξx−τuut−3ξuux)+∞∑n=1((αn)Dnt(ηu−2ξx−τuut−3ξuux)−(αn+1)Dn+1t(τ))∂α−nt(uxx)−2∞∑n=0(αn)DntDx(τ)∂α−nt(uxt)−∞∑n=1(αn)Dnt(ξ)∂α−nt(uxx). | (3.9) |
In this subsection, through the Lie symmetry analysis given in Section 3.1, we obtain the Lie symmetry group and infinitesimal generators of the time-fractional BBMP equation given by Eq (1.1).
Theorem 3.1. The Lie point symmetries admitted by Eq (1.1) are
V1=∂∂x,V2=t∂∂t−αu∂∂u. | (3.10) |
Proof. In view of the Lie symmetry analysis given in Section 3.1, the Lie invariance criterion for Eq (1.1) is
(ηα,t−ηα,xx−uηx−uxη)|(1.1)=0. | (3.11) |
Inserting Eqs (3.5), (3.7) and (3.9) into the invariance condition given by Eq (3.11) and equating the coefficients of the partial derivatives ut,ux,uxx,⋯, fractional derivatives ∂α−ntu,∂α−ntux, ∂αtuxx⋯ and powers of u, we can obtain the following over determined equations:
{ξx=ξt=ξu=τx=τu=0,(αn)∂ntηu−(αn+1)Dn+1tτ=0,∀n∈N,η+αuDtτ=0,∂αtη−u∂αtηu−uηx=0. | (3.12) |
Solving Eq (3.12), the infinitesimal generators can be expressed as follows:
ξ=C1,τ=C2t+C3,η=−αuC2, | (3.13) |
where Ci(i=1,2,3) are arbitrary constants. Moreover, noticing that the initial condition
τ(t,x,u)|t=0=0 | (3.14) |
holds for all time-fractional PDEs, the vector fields of Eq (1.1) can be expressed in the form of Eq (3.10).
This subsection is devoted to the investigation of Lie point symmetry of the time-fractional Novikov equation given by Eq (1.2).
Theorem 3.2. Lie algebras admitted by the fractional Novikov equation expressed as Eq (1.2) are spanned by the following vector fields:
V1=∂∂x,V2=2t∂∂t−αu∂∂u. | (3.15) |
Proof. The invariance criterion given by Eq (3.3) of Eq (1.2) can be represented in the following form:
(ηα,t−ηα,xx+(4u2−3uuxx)ηx−3uuxηxx−u2ηxxx+(8uux−3uxuxx−2uuxxx)η)|(1.2)=0, | (3.16) |
where ηα,t,ηα,xx,ηx,ηxx and ηxxx are defined by Eqs (3.5), (3.7) and (3.9).
Equating the coefficients of fractional derivatives, partial derivatives and various powers of u to be zero, the over determined equations can be constructed as follows:
{ξx=ξt=ξu=τx=τu=0,(αn)∂ntηu−(αn+1)Dn+1tτ=0,∀n∈N,∂αtη−u∂αtηu+4u2ηx−u2ηxxx=0,αuτt+2η=0. | (3.17) |
Solving the above over determined equation given by Eq (3.17), we can deduce that
ξ=C1,τ=2tC2+C3,η=−αuC2, | (3.18) |
where C1, C2 and C3 are arbitrary parameters.
In view of the initial condition τ(t,x,u)|t=0=0, the infinitesimal generators of Eq (1.2) are given by Eq (3.15).
In the previous section, we obtained the infinitesimal generators for the time-fractional BBMP equation and Novikov equation. In this section, we are ready to perform symmetry reductions and construct their exact solutions. Moreover, the power-series solutions are also obtained through the use of the E-K fractional differential operator.
In this subsection, we perform the similarity reduction of the time-fractional BBMP equation given by Eq (1.1), and then the exact solutions are calculated correspondingly.
Case1. V1=∂∂x. According to the characteristic equation of Eq (1.1), i.e.,
dt0=dx1=du0, |
we deduce two independent similarity variables t and u. Thus we get the group-invariant solution of Eq (1.1) with the form u(x,t)=g(t), where g(t) satisfies the fractional ODE
∂αtg(t)=0. |
By virtue of Lemma 2.1, we obtain
g(t)=k1tα−1. | (3.19) |
Therefore, the group-invariant solution of Eq (1.1) is
u(x,t)=k1tα−1. | (3.20) |
Case2. V2=t∂∂t−αu∂∂u. Considering the characteristic equation
dtt=dx0=du−αu, |
the similarity variables x and tαu are obtained. Thus the group-invariant solution of Eq (1.1) is
u(x,t)=t−αg(x), | (3.21) |
where g(x) satisfies the equation
gg′g−g″=Γ(1−α)Γ(1−2α). |
Solving the above equation, we find that
g(x)=C+Γ(1−α)Γ(1−2α)x | (3.22) |
and C is an arbitrary constant.
Plugging Eq (3.22) into Eq (3.21) yields the following exact solution of Eq (1.1):
u(x,t)=Ct−α+Γ(1−α)Γ(1−2α)t−αx. | (3.23) |
Case3. V3=ρV1+V2=ρ∂∂x+t∂∂t−αu∂∂u, where ρ is a nonzero constant. In this case, we consider the power-series solution with the help of E-K fractional operators for Eq (1.1). Solving the characteristic equation
dtt=dxρ=du−αu |
leads to the similarity variables
ξ=ext−ρ,u=t−αg(ξ), | (3.24) |
where g is an undetermined function with a new independent variable ξ=ext−ρ. Thus, one can obtain the following theorem.
Theorem 3.3. The similarity transformations given by Eq (3.24) reduce the BBMP equation given by Eq (1.1) to the following form:
(P1−2α,α1ρg)(ξ)−ξ(P1−2α−ρ,α1ρg′)(ξ)−ξ2(P1−2α−2ρ,α1ρg″)(ξ)−ξgg′=0. | (3.25) |
Proof. Based on the definition of the Riemann-Liouville derivative given by Eq (2.2), we have
∂αtu=1Γ(1−α)∂∂t∫t0(t−s)−αs−αg(exs−ρ)ds. | (3.26) |
Setting v=ts, and due to Eqs (2.5) and (2.6), Eq (3.26) can be written as
∂αtu=∂∂t[t1−2α1Γ(1−α)∫∞1(v−1)−αv2α−2g(ξvρ)dξ]=∂∂t[t1−2α(K1−α,1−α1ρg)(ξ)]=t−2α(1−2α−ρξddξ)(K1−α,1−α1ρg)(ξ)=t−2α(P1−2α,α1ρg)(ξ). | (3.27) |
As for ∂αt(uxx), we have
∂αtuxx=∂αt(t−αξg′(ξ))+∂αt(t−αξ2g″(ξ)). | (3.28) |
On one hand, similar to Eqs (3.26) and (3.27), one obtains
∂αt(t−αξg′(ξ))=∂∂t[exΓ(1−α)∫t0(t−s)−αs−α−ρg′(exs−ρ)ds]=∂∂t[1Γ(1−α)t1−2αξ∫∞1(v−1)−αv2α+ρ−2g′(ξvρ)dv]=∂∂t[t1−2αξ(K1−α−ρ,1−α1ρg′)(ξ)]=t−2αξ(1−2α−ρ−ρξddξ)(K1−α−ρ,1−α1ρg′)(ξ)=t−2αξ(P1−2α−ρ,α1ρg′)(ξ). | (3.29) |
On the other hand, we obtain
∂αt(t−αξ2g″(ξ))=∂∂t[e2xΓ(1−α)∫t0(t−s)−αs−α−2ρg″(exs−ρ)ds]=∂∂t[1Γ(1−α)t1−2αξ2∫∞1(v−1)−αv2α+2ρ−2g″(ξvρ)dv]=∂∂t[t1−2αξ2(K1−α−2ρ,1−α1ρg″)(ξ)]=t−2αξ2(1−2α−2ρ−ρξddξ)(K1−α−2ρ,1−α1ρg″)(ξ)=t−2αξ2(P1−2α−2ρ,α1ρg″)(ξ). | (3.30) |
Therefore, combine Eqs (3.28) and (3.29) with Eq (3.30) to get
∂αtuxx=t−2αξ(P1−2α−ρ,α1ρg′)(ξ)+t−2αξ2(P1−2α−2ρ,α1ρg″)(ξ). | (3.31) |
Substituting Eqs (3.27) and (3.31) into Eq (1.1) yields that Eq (3.25) holds to be true.
In what follows, we intend to use the power-series method to construct the exact solutions for Eq (3.25). Suppose that Eq (3.25) admits the power-series solution
g(ξ)=∞∑n=0anξn, | (3.32) |
where an(n=0,1,2,⋯) are constants which will be determined later. Then, we have
g′(ξ)=∞∑n=1nanξn−1,g″(ξ)=∞∑n=2(n−1)nanξn−2. | (3.33) |
Next, with the help of Eq (3.33), we consider the following E-K fractional differential operator:
(P1−2α,α1ρg)(ξ)=(1−2α−ρξddξ)(K1−α,1−α1ρg)(ξ)=(1−2α−ρξddξ)1Γ(1−α)∫∞1(v−1)−αv2α−2∞∑n=0an(ξvρ)ndv=∞∑n=0Γ(1−α−ρn)Γ(1−2α−ρn)anξn. | (3.34) |
Similar to Eq (3.34), we can also obtain
(P1−2α−ρ,α1ρg′)(ξ)=(1−2α−ρ−ρξddξ)(K1−α−ρ,1−α1ρg′)(ξ)=∞∑n=0Γ(1−α−ρn)Γ(1−2α−ρn)nanξn−1 | (3.35) |
and
(P1−2α−2ρ,α1ρg″)(ξ)=(1−2α−2ρ−ρξddξ)(K1−α−2ρ,1−α1ρg″)(ξ)=∞∑n=0Γ(1−α−ρn)Γ(1−2α−ρn)n(n−1)anξn−2. | (3.36) |
Therefore, inserting Eqs (3.32)–(3.36) into Eq (3.25) yields that
∞∑n=0Γ(1−α−ρn)Γ(1−2α−ρn)(1−n2)anξn−∞∑n=1n∑m=1maman−mξn=0. | (3.37) |
When n=1, by comparing coefficients of ξ, we obtain
a0=0,a1isanarbitraryconstant. | (3.38) |
When n≥2, we have
an=11−n2Γ(1−2α−ρn)Γ(1−α−ρn)n∑m=1maman−m. | (3.39) |
Consequently, the power series solution for Eq (3.25) can be derived as follows:
g(ξ)=a1ξ+∞∑n=211−n2Γ(1−2α−ρn)Γ(1−α−ρn)n∑m=1maman−mξn,n=2,3,4,⋯ | (3.40) |
Substituting Eq (3.40) into Eq (3.24) leads to the exact solution of the BBMP equation given by Eq (1.1):
u(x,t)=a1ext−α−ρ+∞∑n=211−n2Γ(1−2α−ρn)Γ(1−α−ρn)n∑m=1maman−menxt−α−ρn. | (3.41) |
This subsection derives the similarity variables and their reduction equations and presents the exact solutions of the time-fractional equation given by Eq (1.2).
Case1. V1=∂∂x. We find that the group-invariant solution of Eq (1.2) is u(x,t)=g(t), where g(t) is given by ∂αtg(t)=0. Then we observe that the exact solution to Eq (1.2) is the same as that presented as Eq (3.20).
Case2. V2=2t∂∂t−αu∂∂u. The similarity variables of this infinitesimal generator are x and tα2u. Substituting u(x,t)=t−α2g(x) into Eq (1.2) yields the following reduction equation:
Γ(1−α2)Γ(1−32α)g−Γ(1−α2)Γ(1−32α)g″+4g2g′−3gg′g″−g2g‴=0. |
Case3. V3=λV1+V2=λ∂∂x+2t∂∂t−αu∂∂u, where λ is a nonzero constant. We can also obtain the following reduced equation for the field vector V3.
Theorem 3.4. Induced by the general infinitesimal generator V3=λV1+V2, Eq (1.2) can be reduced to the following form:
(P1−32α,α2λg)(z)−z(P1−32α−λ2,α2λg′)(z)−z2(P1−32α−λ,α2λg″)(z)+z(3g2g′−3zg(g′)2−3z2gg′g″−3zg2g″−z2g2g‴)=0, | (3.42) |
where z=ext−λ2, g=utα2 and 0<α<1.
Proof. For the infinitesimal generator V3=λV1+V2=λ∂∂x+2t∂∂t−αu∂∂u, the characteristic equation is given by
dxλ=dt2t=du−αu. |
Solving the above equation yields the corresponding similarity variables ext−λ2 and tα2u; then, we obtain the similarity transformation
u=t−α2g(z), | (3.43) |
where z=ext−λ2 and g is the function of z to be determined later. Thus, we get
ux=t−α2zg′(z),uxx=t−α2(zg′(z)+z2g″(z)),uxxx=t−α2(zg′(z)+3z2g″(z)+z3g‴(z)). | (3.44) |
In the sequel, we consider the time-fractional derivatives ∂αtu and ∂αt(uxx) in Eq (1.2) with 0<α<1, respectively. According to the definition of the Riemann-Liouville fractional derivative, one can obtain
∂αtu=1Γ(1−α)∂∂t∫t0(t−s)−αs−α2g(exs−λ2)ds. | (3.45) |
Letting v=ts, and in view of Eq (2.6), Eq (3.45) can be converted to the following form:
∂αtu=∂∂t[t1−32α1Γ(1−α)∫∞1(v−1)−αv32α−2g(zvλ2)dv]=∂∂t[t1−32α(K1−α2,1−α2λg)(z)]=t−32α(1−32α−λ2zddz)(K1−α2,1−α2λg)(z). | (3.46) |
Then, utilizing the E-K fractional differential operator given by Eq (2.5), we obtain
∂αtu=t−32α(P1−32α,α2λg)(z). | (3.47) |
As for ∂αt(uxx), similar to Eqs (3.28), (3.29) and (3.30) in the last section, one obtains
∂αtuxx=∂αt(t−α2zg′(z))+∂αt(t−α2z2g″(z))=t−32αz(1−32α−λ2−λ2zddz)(K1−α2−λ2,1−α2λg′)(z)+t−32αz2(1−32α−λ−λ2zddz)(K1−α2−λ,1−α2λg″)(z)=t−32α[z(P1−32α−λ2,α2λg′)(z)+z2(P1−32α−λ,α2λg″)(z)]. | (3.48) |
Therefore, inserting Eqs (3.44), (3.47) and (3.48) into Eq (1.2), we verify Eq (3.42).
In what follows, we are ready to obtain the explicit analytic solution for Eq (3.42) by using the power-series method. We first assume that Eq (3.42) has the power-series solution
g(z)=1za0+∞∑n=1anzn, | (3.49) |
where an(n=1,2,3,⋯) are constants which will be determined later.
Then, we have
g′(z)=−1z2a0+∞∑n=1nanzn−1,g″(z)=2z3a0+∞∑n=2(n−1)nanzn−2,g‴(z)=−6z4a0+∞∑n=3(n−2)(n−1)nanzn−3. | (3.50) |
Next, we calculate the E-K fractional differential operator. Analogous to Eqs (3.34), (3.35) and (3.36), one respectively obtains
(P1−32α,α2λg)(z)=a0zΓ(1−α2+λ2)Γ(1−32α+λ2)+∞∑n=1Γ(1−α2−λ2n)Γ(1−32α−λ2n)anzn, | (3.51) |
(P1−32α−λ2,α2λg′)(z)=−a0z2Γ(1−α2+λ2)Γ(1−32α+λ2)+∞∑n=1Γ(1−α2−λ2n)Γ(1−32α−λ2n)nanzn−1, | (3.52) |
and
(P1−32α−λ,α2λg″)(z)=2a0z3Γ(1−α2+λ2)Γ(1−32α+λ2)+∞∑n=2Γ(1−α2−λ2n)Γ(1−32α−λ2n)(n−1)nanzn−2. | (3.53) |
Thus, substituting Eqs (3.50)–(3.53) into Eq (3.42), we have the following formula:
∞∑n=2Γ(1−α2−λ2n)Γ(1−32α−λ2n)(1−n2)anzn+(1za0+∞∑n=1anzn)2(−3a0z+∞∑n=1(4−n2)nanzn)+(1za0+∞∑n=1anzn)(−1za0+∞∑n=1nanzn)(−3za0−∞∑n=13n2anzn)=0. | (3.54) |
Then, in view of the Cauchy product formula, Eq (3.54) can be converted to
∞∑n=2Γ(1−α2−λ2n)Γ(1−32α−λ2n)(1−n2)anzn+a20∞∑n=0(1−n2)(3+n)an+2zn+a0∞∑n=0n+1∑m=1m(2m2−3mn−3m+4)aman+1−mzn+a0∞∑n=1n∑m=1m(4−m2)am+1an−mzn+∞∑n=1n∑k=1k∑m=1m(2m2−3mk+4)amak−man−kzn=0. | (3.55) |
Hence, by vanishing the coefficients of different powers of z in Eq (3.55), we deduce that a0 and a3 are arbitrary constants, and that a2=−a1. When n≥2, one obtains
an+2=1(n2−1)(n+3)[Γ(1−α2−λ2n)Γ(1−32α−λ2n)a20(1−n2)an+1a0n∑m=0(m3+3m2+8m−3n(m+1)2+3)am+1an−m+1a20n∑k=1k∑m=1m(2m2−3mk+4)amak−man−k]. | (3.56) |
Insert Eq (3.56) into Eq (3.49) to obtain the power-series solution of Eq (3.42) as follows:
g(z)=1za0+a1z−a1z2+a3z3+∞∑n=21(n2−1)(n+3)[Γ(1−α2−λ2n)Γ(1−32α−λ2n)a20(1−n2)an+1a0n∑m=0(m3+3m2+8m−3n(m+1)2+3)am+1an−m+1a20n∑k=1k∑m=1m(2m2−3mk+4)amak−man−k]zn+2. | (3.57) |
As a consequence, substituting Eq (3.57) into Eq (3.43), we can construct the explicit solution to Eq (1.2) as follows:
u(x,t)=a0e−xtλ−α2+a1ext−λ+α2−a1e2xt−2λ+α2+a3e3xt−3λ+α2+∞∑n=21(n2−1)(n+3)[Γ(1−α2−λ2n)Γ(1−32α−λ2n)a20(1−n2)an+1a0n∑m=0(m3+3m2+8m−3n(m+1)2+3)am+1an−m+1a20n∑k=1k∑m=1m(2m2−3mk+4)amak−man−k]e(n+2)xt−(n+2)λ+α2. | (3.58) |
Remark 3.1. In accordance with the method introduced in [38] and the explicit function theorem in [39], the power-series solutions given by Eqs (3.41) and (3.58) are convergent, and we omit the details of the proof.
In this section, the conservation laws for the time-fractional BBMP equation given by Eq (1.1) will be investigated by using the new conservation theorem [23,40]. The vector (Ct,Cx) for Eq (1.1) that satisfies the equation
(Dt(Ct)+Dx(Cx))|(1.1)=0 | (4.1) |
is called the conserved vector, where Ct=Ct(t,x,u,⋯), Cx=Cx(t,x,u,⋯).
The formal Lagrangian of Eq (1.1) can be represented as
L=v(x,t)(∂αtu−∂αt(uxx)−uux), | (4.2) |
where v(x,t) is a new dependent variable.
The adjoint equation is given by
F∗=δLδu=0; | (4.3) |
here, δδu symbolizes the Euler-Lagrange operator defined by
δδu=(∂αt)∗∂∂(∂αtu)+(∂αt)∗D2x∂∂(∂αtuxx)+∂∂u−Dx∂∂ux+D2x∂∂uxx+⋯, | (4.4) |
where (∂αt)∗ is the adjoint operator of ∂αt that is defined by Eq (2.4).
In view of Eqs (4.2) and (4.3), we can derive the adjoint equation of Eq (1.1) with the following form:
(∂αt)∗v−(∂αt)∗D2xv−uxv+Dx(uv)=0. | (4.5) |
Regarding the nonlinear self-adjointness of Eq (1.1), Eq (4.5) must be satisfied for all solutions of Eq (1.1) with the substitution
v(x,t)=ψ(x,t,u),ψ(x,t,u)≠0. | (4.6) |
The derivatives of Eq (4.6) are given as
vx=ψx+ψuux,vxx=ψxx+2ψuxux+ψuuxx+ψuuu2x. | (4.7) |
Substituting Eqs (4.6) and (4.7) into Eq (4.5), we obtain the following nonlinear self-adjointness expression:
(∂αt)∗(ψ−ψxx−2ψuxux−ψuuxx−ψuuu2x)+uψx+uψuux=0. | (4.8) |
Solving the above Eq (4.8), we conclude that
ψ(x,t,u)=C, | (4.9) |
where C is a constant. Then, taking C=1, according to the vector fields described by Eq (3.10), as admitted by Eq (1.1), and the formulas of Lie characteristic functions Wi=ηi−ξiux−τiut(i=1,2), the characteristic functions can be expressed as follows
W1=−ux,W2=−αu−tut. | (4.10) |
The fractional Noether operator for the variable t is defined by [21]
Cti=I1−αt(Wi)∂L∂(∂αtu)−I1−αt(DxWi)Dx∂L∂(∂αtuxx)+J(Wi,Dt∂L∂(∂αtu))−J(DxWi,DxDt∂L∂(∂αtuxx)), | (4.11) |
where the operator J(f,g) is given by
J(f,g)=1Γ(1−α)∫t0∫Ttf(x,s)g(x,r)(r−s)αdrds. | (4.12) |
Equivalently, the fractional Noether operator for the component x of the conserved vector is introduced as follows:
Cxi=DαtDx(Wi)∂L∂(∂αtuxx)−Wi(∂αt)∗Dx∂L∂(∂αtuxx)+Wi(∂L∂ux−Dx∂L∂uxx+D2x∂L∂uxxx)+Dx(Wi)(∂L∂uxx−Dx∂L∂uxxx)+D2x(Wi)∂L∂uxxx. | (4.13) |
Therefore, with the help of Eqs (4.11) and (4.13), we construct the conservation laws for Eq (1.1), whose components of the conserved vectors are as follows:
{Cx1=Dαt(uxx)+uux,Cx2=αDαt(ux)+Dαt(tuxt)+u(αu+tut), | (4.14) |
and
{Ct1=−I1−αt(ux),Ct2=−αI1−αt(u)−I1−αt(tut). | (4.15) |
In this section, we provide the 3-D graphical interpretations of the exact solutions given by Eqs (3.23), (3.41) and (3.58) for the time-fractional BBMP equation and Novikov equation, respectively. Moreover, we will discuss the influence of the parameter α in Eqs (1.1) and (1.2) on solutions.
Figure 1 shows the influence of fractional parameter α on u(x,t) in Eq (3.23) (i.e., a solution) of Eq (1.1). From Figure 1, we can observe that the maximum value of solution u(x,t) decreases as α increases when the constant C=1 and the points (x,t) are fixed. Particularly, the solution u(x,t) approaches zero with the increase of the parameter α from 0.25 to 0.9 when the points (x,t) are near the point (0, 0).
Figure 2 displays the effect of fractional parameter α on u(x,t) in Eq (3.23) (i.e., a solution) of Eq (1.1). The graphs show that the curvature of the graphs decreases as the fractional parameter α increases from 0.1 to 0.9.
Figure 3 shows the influence of fractional parameter α on u(x,t) in Eq (3.41) (i.e., a solution) of Eq (1.1). From Figure 3, we can find that the value of the solution u(x,t) increases as the fractional parameter α increases. In particular, the curvature of the plots increases as the fractional parameter α increases from 0.1 to 0.9 near the point (0, 0).
Figure 4 displays the effect of fractional parameter α on u(x,t) in Eq (3.58) (i.e., a solution) of Eq (1.2). The plots show that the value of the solution u(x,t) decreases as the fractional parameter α increases from 0.1 to 0.9.
In this paper, in accordance with Lie symmetry analysis and the power-series method, the explicit solutions of the time-fractional BBMP equation and time-fractional Novikov equation have been successfully constructed. More specifically, we have established the Lie algebra admitted by Eqs (1.1) and (1.2) and obtained the group-invariant solutions by means of symmetry reductions. By using the fractional E-K operator, we have transformed Eqs (1.1) and (1.2) into ODEs (3.25) and (3.42) with only one variable, respectively, and constructed their power-series solutions. Moreover, the conservation laws for the time-fractional BBMP equation have been obtained by using the new Noether's theorem. In addition, we have constructed the 3-D graphs of corresponding exact solutions by using Maple software. In the future, we will devote ourselves to constructing exact solutions of Eqs (1.1) and (1.2) with the help of other methods, such as the q-homotopy analysis method, invariant subspace method, extended direct algebraic method, Chebyshev series method, etc.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
The author would like to thank the editor and the anonymous referees for their valuable suggestions and comments, which have improved the presentation of this paper. This work was supported by the National Natural Science Foundation of China (Grant No. 12271433).
All authors declare no conflict of interest.
[1] |
L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338–353. http://doi.org/10.1016/S0019-9958(65)90241-X doi: 10.1016/S0019-9958(65)90241-X
![]() |
[2] |
A. Qazza, R. Saadeh, On the analytical solution of fractional SIR epidemic model, Appl. Comput. Intell. S., 2023 (2023), 6973734. https://doi.org/10.1155/2023/6973734 doi: 10.1155/2023/6973734
![]() |
[3] |
M. Sanchez-Roger, M. D. Oliver-Alfonso, C. Sanchis-Pedregosa, Fuzzy logic and its uses in finance: a systematic review exploring its potential to deal with banking crises, Mathematics, 7 (2019), 1091. http://doi.org/10.3390/math7111091 doi: 10.3390/math7111091
![]() |
[4] |
M. Guo, X. Xue, R. Li, Impulsive functional differential inclusions and fuzzy population models, Fuzzy Set. Syst., 138 (2003), 601–615. https://doi.org/10.1016/S0165-0114(02)00522-5 doi: 10.1016/S0165-0114(02)00522-5
![]() |
[5] |
O. Kaleva, Fuzzy differential equations, Fuzzy Set. Syst., 24 (1987), 301–317. https://doi.org/10.1016/0165-0114(87)90029-7 doi: 10.1016/0165-0114(87)90029-7
![]() |
[6] |
M. Al-Smadi, O. A. Arqub, D. Zeidan, Fuzzy fractional differential equations under the Mittag-Leffler kernel differential operator of the ABC approach: theorems and applications, Chaos Soliton. Fract., 146 (2021), 110891. https://doi.org/10.1016/j.chaos.2021.110891 doi: 10.1016/j.chaos.2021.110891
![]() |
[7] | A. Kandel, Fuzzy mathematical techniques with applications, Boston: Addison-Wesley, 1986. |
[8] |
P. Narayana, Rao, K. Reddy, S. Sangam, C. S. E. Sreenidhi, Application of fuzzy logic in financial markets for decision making, International Journal of Advanced Research in Computer Science, 8 (2017), 382–386. https://doi.org/10.26483/IJARCS.V8I3.3020 doi: 10.26483/IJARCS.V8I3.3020
![]() |
[9] |
Y. Chalco-Cano, H. Roman-Flores, On new solutions of fuzzy differential equations, Chaos Soliton. Fract., 38 (2008), 112–119. https://doi.org/10.1016/j.chaos.2006.10.043 doi: 10.1016/j.chaos.2006.10.043
![]() |
[10] |
S. Hasan, M. Al-Smadi, A. El-Ajou, S. Momani, S. Hadid, Z. Al-Zhour, Numerical approach in the Hilbert space to solve a fuzzy Atangana-Baleanu fractional hybrid system, Chaos Soliton. Fract., 143 (2021), 110506. https://doi.org/10.1016/j.chaos.2020.110506 doi: 10.1016/j.chaos.2020.110506
![]() |
[11] |
D. Dubois, H. Prade, Towards fuzzy differential calculus part 1: Integration of fuzzy mappings, Fuzzy Set. Syst., 8 (1982), 1–17. https://doi.org/10.1016/0165-0114(82)90025-2 doi: 10.1016/0165-0114(82)90025-2
![]() |
[12] |
R. P. Agarwal, V. Lakshmikantham, J. J. Nieto, On the concept of solution for fractional differential equations with uncertain, Nonlinear Anal. Theor., 72 (2010), 2859–2862. https://doi.org/10.1016/j.na.2009.11.029 doi: 10.1016/j.na.2009.11.029
![]() |
[13] |
O. S. Fard, M. Salehi, A survey on fuzzy fractional variational problems, J. Comput. Appl. Math., 271 (2014), 71–82. https://doi.org/10.1016/j.cam.2014.03.019 doi: 10.1016/j.cam.2014.03.019
![]() |
[14] | J. Soolaki, O. S. Fard, A. H. Borzabadi, Generalized Euler-Lagrange equations for fuzzy fractional variational calculus, Math. Commun., 21 (2016), 199–218. |
[15] |
J. Zhang, G. Wang, X. Zhi, C. Zhou, Generalized Euler-Lagrange equations for fuzzy fractional variational problems under gH-Atangana-Baleanu differentiability, J. Funct. Space., 2018 (2018), 2740678. http://doi.org/10.1155/2018/2740678 doi: 10.1155/2018/2740678
![]() |
[16] |
A. K. Das, T. K. Roy, Solving some system of linear fuzzy fractional differential equations by Adomian decomposition method, Intern. J. Fuzzy Mathematical Archive, 12 (2017), 83–92. http://doi.org/10.22457/ijfma.v12n2a5 doi: 10.22457/ijfma.v12n2a5
![]() |
[17] |
S. Salahshour, T. Allahviranloo, S. Abbasbandy, Solving fuzzy fractional differential equations by fuzzy Laplace transforms, Commun. Nonlinear Sci., 17 (2012), 1372–1381. https://doi.org/10.1016/j.cnsns.2011.07.005 doi: 10.1016/j.cnsns.2011.07.005
![]() |
[18] |
B. Bede, S. G. Gal, Almost periodic fuzzy-number-valued functions, Fuzzy Set. Syst., 147 (2004), 385–403. https://doi.org/10.1016/j.fss.2003.08.004 doi: 10.1016/j.fss.2003.08.004
![]() |
[19] |
S. S. Behzadi, B. Vahdani, T. Allahviranloo, S. Abbasbandy, Application of fuzzy Picard method for solving fuzzy quadratic Riccati and fuzzy Painlevé I equations, Appl. Math. Model., 40 (2016), 8125–8137. https://doi.org/10.1016/j.apm.2016.05.003 doi: 10.1016/j.apm.2016.05.003
![]() |
[20] |
R. Khalil, M. A. Horani, A. Yousef, M. Sababheh, A new definition of fractional derivative, J. Comput. Appl. Math., 264 (2014), 65–70. https://doi.org/10.1016/j.cam.2014.01.002 doi: 10.1016/j.cam.2014.01.002
![]() |
[21] |
A. Qazza, A. Burqan, R. Saadeh, Application of ARA-Residual power series method in solving systems of fractional differential equations, Math. Probl. Eng., 2022 (2022), 6939045. https://doi.org/10.1155/2022/6939045 doi: 10.1155/2022/6939045
![]() |
[22] |
P. D. Spanos, A. D. Matteo, Y. Cheng, A. Pirrotta, J. Li, Galerkin scheme-based determination of survival probability of oscillators with fractional derivative elements, J. Appl. Mech., 83 (2016), 121003. https://doi.org/10.1115/1.4034460 doi: 10.1115/1.4034460
![]() |
[23] |
Y. Luo, P. D. Spanos, J. Chen, Stochastic response determination of multi-dimensional nonlinear systems endowed with fractional derivative elements by the GE-GDEE, Int. J. Nonlin. Mech., 147 (2022), 104247. https://doi.org/10.1016/j.ijnonlinmec.2022.104 doi: 10.1016/j.ijnonlinmec.2022.104
![]() |
[24] |
Y. Luo, M. Z. Lyu, J. B. Chen, P. D. Spanos, Equation governing the probability density evolution of multi-dimensional linear fractional differential systems subject to Gaussian white noise, Theor. Appl. Mech. Lett., 13 (2023), 100436. https://doi.org/10.1016/j.taml.2023.100436 doi: 10.1016/j.taml.2023.100436
![]() |
[25] |
A. B. M. Alzahrani, M. A. Abdoon, M. Elbadri, M. Berir, D. E. Elgezouli, A comparative numerical study of the symmetry chaotic jerk system with a hyperbolic sine function via two different methods, Symmetry, 15 (2023), 1991. https://doi.org/10.3390/sym15111991 doi: 10.3390/sym15111991
![]() |
[26] | R. Edwan, R. Saadeh, S. Hadid, M. Al-Smadi, M. Momani, Solving time-space-fractional Cauchy problem with constant coefficients by finite-difference method, In: Computational mathematics and applications, Singapore: Springer, 25–64. https://doi.org/10.1007/978-981-15-8498-5_2 |
[27] |
A. M. Qazza, R. M. Hatamleh, N. A. Alodat, About the solution stability of volterra integral equation with random kernel, Far East Journal Of Mathematical Sciences, 100 (2016), 671–680, https://doi.org/10.17654/ms100050671 doi: 10.17654/ms100050671
![]() |
[28] |
O. A. Arqub, M. Al-Smadi, Fuzzy conformable fractional differential equations: novel extended approach and new numerical solutions, Soft Comput., 24 (2020), 12501–12522. https://doi.org/10.1007/s00500-020-04687-0 doi: 10.1007/s00500-020-04687-0
![]() |
[29] |
A. Harir, S. Melliani, L. S. Chadli, Analytic solution method for fractional fuzzy conformable Laplace transforms, SeMA J., 78 (2021), 401–414. https://doi.org/10.1007/s40324-021-00240-7 doi: 10.1007/s40324-021-00240-7
![]() |
[30] |
N. B. Sadabadi, F. Maheri, Fuzzy fractional conformable Laplace transforms, Honam Math. J., 43 (2021), 359–371. https://doi.org/10.5831/HMJ.2021.43.2.359 doi: 10.5831/HMJ.2021.43.2.359
![]() |
[31] |
M. Bataineh, M. Alaroud, S. Al-Omari, P. Agarwal, Series representations for uncertain fractional IVPs in the fuzzy conformable fractional sense, Entropy, 23 (2021), 1646. https://doi.org/10.3390/e23121646 doi: 10.3390/e23121646
![]() |
[32] |
Z. Al-Zhour, A. El-Ajou, M. Oqielat, O. Al-Oqily, S. Salem, M. Imran, Effective approach to construct series solutions for uncertain fractional differential equations, Fuzzy Information and Engineering, 14 (2022), 182–211. http://doi.org/10.1080/16168658.2022.2119041 doi: 10.1080/16168658.2022.2119041
![]() |
[33] |
T. Eriqat, A. El-Ajou, M. N. Oqielat, Z. Al-Zhour, S. Momani, A new attractive analytic approach for solutions of linear and nonlinear neutral fractional pantograph equations, Chaos Solition. Fract., 138 (2020), 109957. http://doi.org/10.1016/j.chaos.2020.109957 doi: 10.1016/j.chaos.2020.109957
![]() |
[34] |
M. N. Oqielat, T. Eriqat, Z. Al-Zhour, O. Ogilat, A. El-Ajou, I. Hashim, Construction of fractional series solutions to nonlinear fractional reaction–diffusion for bacteria growth model via Laplace residual power series method, Int. J. Dynam. Control, 11 (2023), 520–527. https://doi.org/10.1007/s40435-022-01001-8 doi: 10.1007/s40435-022-01001-8
![]() |
[35] |
M. Oqielat, T. Eriqat, Z. Al-Zhour, A. El-Ajou, S. Momani, Numerical solutions of time-fractional nonlinear water wave partial differential equation via Caputo fractional derivative: An effective analytical method and some applications, Appl. Comput. Math., 21 (2022), 207–222. http://doi.org/10.30546/1683-6154.21.2.2022.207 doi: 10.30546/1683-6154.21.2.2022.207
![]() |
[36] |
T. Eriqat, M. N. Oqielat, Z. Al-Zhour, G. S. Khammash, A. El-Ajou, H. Alrabaiah, Exact and numerical solutions of higher-order fractional partial differential equations: A new analytical method and some applications, Pramana, 96 (2022), 207. https://doi.org/10.1007/s12043-022-02446-4 doi: 10.1007/s12043-022-02446-4
![]() |
[37] |
A. El-Ajou, Z. Al-Zhour, A vector series solution for a class of hyperbolic system of Caputo-time-fractional partial differential equations with variable coefficients, Front. Phys., 9 (2021), 267. https://doi.org/10.3389/fphy.2021.525250 doi: 10.3389/fphy.2021.525250
![]() |
[38] |
M. N. Oqielat, T. Eriqat, O. Ogilat, A. El-Ajou, S. E. Alhazmi, S. Al-Omari, Laplace-residual power series method for solving time-fractional reaction-diffusion model, Fractal Fract., 7 (2023), 309. https://doi.org/10.3390/fractalfract7040309 doi: 10.3390/fractalfract7040309
![]() |
[39] |
A. El-Ajou, Adapting the Laplace transform to create solitary solutions for the nonlinear time-fractional dispersive PDEs via a new approach, Eur. Phys. J. Plus, 136 (2021), 229. https://doi.org/10.1140/epjp/s13360-020-01061-9 doi: 10.1140/epjp/s13360-020-01061-9
![]() |
[40] |
T. Eriqat, M. N. Oqielat, Z. Al-Zhour, A. El-Ajou, A. S. Bataineh, Revisited Fisher's equation and logistic system model: A new fractional approach and some modifications, Int. J. Dynam. Control, 11 (2023), 555–563. https://doi.org/10.1007/s40435-022-01020-5 doi: 10.1007/s40435-022-01020-5
![]() |
[41] |
M. N. Oqielat, A. El-Ajou, Z. Al-Zhour, T. Eriqat, M. Al-Smadi, A new approach to solving fuzzy quadratic Riccati differential equations, Int. J. Fuzzy Log. Inte., 22 (2022), 23–47. http://doi.org/10.5391/IJFIS.2022.22.1.23 doi: 10.5391/IJFIS.2022.22.1.23
![]() |
[42] |
M. N. Oqielat, T. Eriqat, O. Ogilat, Z. Odibat, Z. Al-Zhour, I. Hashim, Approximate solutions of fuzzy fractional population dynamics model, Eur. Phys. J. Plus, 137 (2022), 982. https://doi.org/10.1140/epjp/s13360-022-03188-3 doi: 10.1140/epjp/s13360-022-03188-3
![]() |
[43] |
A. Qazza, R. Saadeh, E. Salah, Solving fractional partial differential equations via a new scheme, AIMS Mathematics, 8 (2023), 5318–5337. http://doi.org/10.3934/math.2023267 doi: 10.3934/math.2023267
![]() |
[44] |
R. Saadeh, M. Abu-Ghuwaleh, A. Qazza, E. Kuffi, A fundamental criteria to establish general formulas of integrals, J. Appl. Math., 2022 (2022), 6049367. https://doi.org/10.1155/2022/6049367 doi: 10.1155/2022/6049367
![]() |
[45] |
R.Saadeh, O. Ala'yed, A. Qazza, Analytical solution of coupled Hirota-Satsuma and KdV equations, Fractal Fract., 6 (2022), 694. https://doi.org/10.3390/fractalfract6120694 doi: 10.3390/fractalfract6120694
![]() |
[46] |
A. Qazza, M. Abdoon, R. Saadeh, M. Berir, A new scheme for solving a fractional differential equation and a Chaotic system, Eur. J. Pure Appl. Math., 16 (2023), 1128–1139. https://doi.org/10.29020/nybg.ejpam.v16i2.4769 doi: 10.29020/nybg.ejpam.v16i2.4769
![]() |
[47] |
R. Saadeh, M. A. Abdoon, A. Qazza, M. Berir, A numerical solution of generalized Caputo fractional initial value problems, Fractal Fract., 7 (2023), 332. https://doi.org/10.3390/fractalfract7040332 doi: 10.3390/fractalfract7040332
![]() |
[48] |
E. Salah, R. Saadeh, A. Qazza, R. Hatamleh, Direct power series approach for solving nonlinear initial value problems, Axioms, 12 (2023), 111. https://doi.org/10.3390/axioms12020111 doi: 10.3390/axioms12020111
![]() |
[49] |
M. Abu-Ghuwaleh, R. Saadeh, A. Qazza, General master theorems of integrals with applications, Mathematics, 10 (2022), 3547. https://doi.org/10.3390/math10193547 doi: 10.3390/math10193547
![]() |
[50] |
A. Qazza, R. Hatamleh, The existence of a solution for semi-linear abstract differential equations with infinite B-chains of the characteristic sheaf, Int. J. Appl. Math., 31 (2018), 611–620. https://doi.org/10.12732/ijam.v31i5.7 doi: 10.12732/ijam.v31i5.7
![]() |
[51] |
A. Amourah, A. Alsoboh, O. Ogilat, G. M. Gharib, R. Saadeh, A. A. Soudi, A generalization of gegenbauer polynomials and Bi-univalent functions, Axioms, 12 (2023), 128. http://doi.org/10.3390/axioms12020128 doi: 10.3390/axioms12020128
![]() |
[52] |
J. Nieto, R. Rodriguez-Lopez, M. Villanueva-Pesqueira, Exact solution to the periodic boundary value problem for a first-order linear fuzzy differential equation with impulses, Fuzzy Optim. Decis. Making, 10 (2011), 323–339. https://doi.org/10.1007/s10700-011-9108-3 doi: 10.1007/s10700-011-9108-3
![]() |
[53] |
A. El-Ajou, O. A. Arqub, Z. A. Zhour, S. Momani, New results on fractional power series: theories and applications, Entropy, 15 (2023), 5305–5323. http://doi.org/10.3390/e15125305 doi: 10.3390/e15125305
![]() |
1. | Farzaneh Alizadeh, Kamyar Hosseini, Sekson Sirisubtawee, Evren Hincal, Classical and nonclassical Lie symmetries, bifurcation analysis, and Jacobi elliptic function solutions to a 3D-modified nonlinear wave equation in liquid involving gas bubbles, 2024, 2024, 1687-2770, 10.1186/s13661-024-01921-8 | |
2. | Qiongya Gu, Lizhen Wang, Invariant analysis, invariant subspace method and conservation laws of the (2+1)-dimensional mixed fractional Broer–Kaup–Kupershmidt system, 2024, 91, 05779073, 895, 10.1016/j.cjph.2024.08.001 |