Research article Special Issues

On the solutions of certain fractional kinetic matrix equations involving Hadamard fractional integrals

  • Currently, matrix fractional differential equations have several applications in diverse fields, including mathematical analysis, control systems, economics, optimization theory, physics, astrophysics and engineering. In this line of research, we introduce generalized fractional kinetic equations including extended k-Hurwitz-Lerch zeta-matrix functions. By applying the Hadamard fractional integral properties and via the Mellin integral transform, we present the solution of fractional kinetic matrix equations involving families of Hurwitz-Lerch zeta matrix functions. In addition, we consider a number of specific instances of our key results.

    Citation: Mohamed Akel, Muajebah Hidan, Salah Boulaaras, Mohamed Abdalla. On the solutions of certain fractional kinetic matrix equations involving Hadamard fractional integrals[J]. AIMS Mathematics, 2022, 7(8): 15520-15531. doi: 10.3934/math.2022850

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  • Currently, matrix fractional differential equations have several applications in diverse fields, including mathematical analysis, control systems, economics, optimization theory, physics, astrophysics and engineering. In this line of research, we introduce generalized fractional kinetic equations including extended k-Hurwitz-Lerch zeta-matrix functions. By applying the Hadamard fractional integral properties and via the Mellin integral transform, we present the solution of fractional kinetic matrix equations involving families of Hurwitz-Lerch zeta matrix functions. In addition, we consider a number of specific instances of our key results.



    In mathematical analysis, mathematical physics, mathematical modelings and engineering processes, fractional calculus is able to work requisitely in solving certain boundary value problems or certain integral equations. Although there exist in the literature many definitions for fractional integral operators, the Riemann-Liouville and Caputo are the most common for fractional integrals. Among the many fractional integrals operators is the Hadamard fractional integral, the definition of which goes back to the works of Hadamard in 1892 [1]. Recently, many studies on the Hadamard fractional integral and its applications in various fields have been achieved, including those by Butzer et al. [2,3], Pooseh et al. [4], Farid and Habibullah [5], Azam et al. [6], Abbas et al. [7], Boutiara et al. [8] and Ahmed et al. [9].

    On the contrary, the mainstream and, perhaps, the most effective approach to the field of differential equations is fractional calculus approach, which has been recently discussed in fundamental works (for instance, see [10,11,12]). It is known that fractional differential equations are generalizations of differential equations in an arbitrary non-integer-order setting. Among the many fractional differential equations are the fractional kinetic equations (FKEs). The kinetic (reaction-type) equations have prime importance as a mathematical tool widely used to describe several astrophysical and physical phenomena [13]. In [14], the authors considered the FKE involving the Riemann-Liouville fractional integral. Recently, using various integral transforms, FKEs comprising a large array of special functions have been extensively applied to elucidate and solve many significant problems of physical phenomenons (see, e.g., [15,16,17,18,19,20]).

    Nowadays, owing to the significance of the earlier work on FKEs and other important fractional differential equations, one should note that many researchers became interested in analyzing the scalar classic cases of the differential equations in a matrix setting. The use of matrix fractional differential equations (MFDEs) has been applied in several fields such as those related to statistics, physical phenomena, simulating reduction problems, communication systems and allied sciences; for instance, see [21,22,23,24,25,26] and the references cited therein.

    In consideration of the aforementioned works, the current study was designed to highlight establishing an extensive form of the fractional kinetic matrix equation (FKME) involving families of the Hurwitz-Lerch zeta matrix functions by using the technique of the Hadamard fractional integral operator via the Mellin integral transform. In addition to these, solutions of the FKMEs under special conditions of the families of the Hurwitz-Lerch zeta matrix functions have been reported. It is also worth noting that this work is primarily analytical and designed to develop new properties using the proposed algorithm, which are needed for future applications.

    In this section, we recall some definitions and terminologies that will be used to prove the main results. Throughout our present work, let N, R+, Z0, and C be the sets of positive integers, positive real numbers, non-positive integers, and complex numbers, respectively, and let N0:=N{0} and R+0:=R+{0}. In addition, let Cm×m be the vector space of all of the square matrices of order mN with entries contained in C. Further, let I and 0 denote the identity and zero matrices corresponding to a square matrix of any order, respectively.

    If TCm×m, the spectrum σ(T) is the set of all eigenvalues of T for which we denote

     μ(T)=max{Re(ξ):ξσ(T)}and˜μ(T)=min{Re(ξ):ξσ(T)}, (2.1)

    where μ(T) refers to the spectral abscissa of T and for which ˜μ(T)=μ(T). A matrix T is said to be a positive stable if and only if ˜μ(T)>0.

    Definition 2.1. If T is a positive stable matrix in Cm×m and kR+, then the k- gamma matrix function Γk(T) is well-defined as follows (cf. [27]):

    Γk(T)=0vTIevkkdv,vTI:=exp((TI)lnv). (2.2)

    If T is a matrix in Cm×m such that T+kI is an invertible matrix for every N0 and kR+, then Γk(T) is invertible, its inverse is Γ1k(T), and the k-Pochhammer matrix symbol is defined by

    (T),k=T(T+kI)(T+(1)kI)=Γk(T+kI)Γ1k(T)(N0,kR+). (2.3)

    Definition 2.2. [24,28] (Fractional matrix power)

    For a nonsingular matrix T in Cm×m we define Tν a for an arbitrary real number ν by Tν=exp(νlogT), where the logarithm is the principal matrix logarithm.

    In general, it is not true that (Tν)μ=(Tμ)ν for real ν and μ, although for symmetric positive definite matrices this identity does hold because the eigenvalues are real and positive.

    If X=Tν, does it follow that T=X1ν? Clearly, the answer is no in general because, for example X=T2, does not imply T=X1/2. Using the matrix unwinding function it can be shown that (Tν)1ν=T for ν[1,1]. Hence the function G(T)=T1ν is the inverse function of F(T)=Tν for ν[1,1].

    Definition 2.3. Let T be a positive stable matrix in Cm×m. The generalized Riemann ζ matrix function [29] is defined by

    ζ(T,β)=n=0(β+n)T,βC. (2.4)

    In particular, by setting β=1, (2.4) turns into a matrix analogue of the Riemann ζ function.

    Definition 2.4. Let T be a positive stable matrix in Cm×m. Then, an extension of the k-gamma function of a matrix argument (2.2) is defined in [27] as follows:

    Γϑk(T)=0vTIe(vkkϑkkvk)dv(ϑR+0,kR+). (2.5)

    Definition 2.5. [30] Let T, D, E and F be positive stable matrices in Cm×m, such that T+I and F+I are invertible for all N0, σR+0,kR+, and αCZ0. Then, for |w|<1, the generalized extended k-Hurwitz-Lerch ζ matrix function is defined by:

    2ΘT;k,α;σ1[D,EF;w]=n=0(n+α)T(D;σ)n,k(E)n,k[(F)n,k]1wnn!, (2.6)

    where (D;σ)n,k is the generalized k-Pochhammer matrix symbols, which are defined as

    (D;σ)n,k={Γσk(D+nI)Γ1k(D),(˜μ(D)>0,σ,kR+,nN)(D)n,k,(σ=0,kR+,nN)I,(n=0,σ=0,k=1) (2.7)

    Remark 2.1. Some particular cases of (2.6) are in the following representations:

    i- For k=1 in (2.6), we get the matrix version of the result in [31] as follows

    2ΘT;α;σ1[D,EF;w]=n=0(n+α)T(D;σ)n(E)n[(F)n)]1wnn!, (2.8)

    where T,D,E,FCm×m,αCZ0 and σR+0when|w|<1and˜μ(T+FDE)>1when|w|=1.

    ii- If we set σ=0 in (2.6), it reduces to the following k-analogue of the generalized Hurwitz-Lerch ζ matrix function:

    2ΘT;k,α1[D,EF;w]=n=0(n+α)T(D)n,k(E)n,k[(F)n,k)]1wnn!, (2.9)

    where T,D,E,FCm×m,αCZ0 and kR+when|w|<1and˜μ(T+FDE)>1when|w|=1.

    iii- When k=1 and σ=0 we obtain the matrix version of the definition in [32] as follows

    2ΘT;α1[D,EF;w]=n=0(n+α)T(D)n(E)n[(F)n)]1wnn!, (2.10)

    where T,D,E,FCm×mandαCZ0when|w|<1and˜μ(T+FDE)>1when|w|=1.

    iv- Further, when k=1 and E=F of (2.6) can be easily seen to yield the following matrix version of the result in [33]

    1ΘT;α;σ0(D;w)=n=0(n+α)T(D;σ)nwnn!, (2.11)

    where T,DCm×m,σ,αCZ0,when|w|<1and˜μ(TD)>1when|w|=1.

    v- Further, when σ=0 in (2.11), it is easily seen to yield the following k- Hurwitz-Lerch ζ matrix function which is a generalization of the result in [34]

    1ΘT;k;α0(D;w)=n=0(n+α)T(D)n,kwnn!, (2.12)

    where T,DCm×mandαCZ0,when|w|<1and˜μ(TD)>1when|w|=1.

    vi- We can easily retrieve the classical Hurwitz-Lerch ζ function defined in [31] from (2.12), when T=μC1×1 and D=1C1×1.

    Definition 2.6. The Mellin transform of a suitable integrable function G(t) is defined [35], as usual, by

    G(δ)=M{G(t):tδ}=0tδ1G(t)dt(δC), (2.13)

    provided that the improper integral in (2.13) exists. And the inverse Mellin transform is

    G(t)=M1{G(δ):δt}=12πic+icitδG(δ)dδ(c=Reδ). (2.14)

    Further, the Mellin convolution of two functions θ(t) and ϕ(t) is defined as

    (θϕ)(t)=t0θ(tx)ϕ(x)dxx. (2.15)

    Lemma 2.1. [30]For a matrix RCm×m, σR+0, and k,δR+; then, we have

    M{Γσk(R):δ}=Γk(δI)Γk(R+δI)(˜μ(R+δI)>0whenk=1), (2.16)

    where Γσk(R) is the extended k-gamma of thematrix argument defined in (2.5).

    Theorem 2.1. [30] Under the conditions of the hypothesis in Definition 2.5, the Mellin transform of theextended k-Hurwitz-Lerch ζ matrix function is given by

    M{2ΘT;k,α;σ1[D,EF;w]:σδ}=Γk(δ)(D)δ,k2ΘT;k,α;σ1[D+δI,EF;w], (2.17)

    where (δ)>0 and ˜μ(D+δI)>0 whenσ=0 and k=1.

    Definition 2.7. [35] Let Re(γ)>0. The left-sided and the right-sided Hadamard fractional integrals of order γC are defined, respectively as

    (HIγ+f)(t)=1Γ(γ)t0(logtτ)γ1f(τ)τdτ,t>0,

    and

    (HIγf)(t)=1Γ(γ)t(logτt)γ1f(τ)τdτ,t>0.

    Lemma 2.2. [35] If Re(γ)>0, τC, and the Mellin transform M(f)(τ) exists for afunction f, then the following holds true:

    M(HIγ+f)(τ)=(τ)γ(Mf)(τ),Re(τ)<0,

    and

    M(HIγf)(τ)=(τ)γ(Mf)(τ),Re(τ)>0.

    Theorem 2.2. [36] For t[0,ξ]

    M[f(t)](τ)=F(τ)=ξ0ξτtτ1f(t)dt

    and

    f(t)=M1[F(τ)](t)=12πic+icitττF(τ)dτ.

    In this section we are going to study FKEs involving Hadamard fractional integrals associated with a generalized extended k-Hurwitz-Lerch ζ matrix functions.

    Theorem 3.1. Let Tμ, Dμ, Eμ, Fμ and C be positive stable matrices in Cm×m such that Tμ+I and Fμ+I are invertible for all μN, N0 δ,σR+0,d,k,ξR+ and αμCZ0. Then, for γCZ0, t[0,ξ] and 2ΘTμ;kμ,αμ;σ1 is generalized from (2.6); the generalized FKME

    N(t)IN0tδ1nμ=12ΘTμ;kμ,αμ;σ1[Dμ,EμFμ;dγtγ]=CγHIγtN(t) (3.1)

    is solvable. The solution to (3.1) is given by

    N(t)I=N0ξδ1log(t)nμ=1s=0(s+αμ)Tμ(Dμ;σ)n,kμ(Eμ)n,kμ[(Fμ)n,kμ]1×(dγsξγss!)μr=0=0[(logtC)γ]r[logt(γμs+δ1)]Γ[1(γr++2)]. (3.2)

    Proof. According to Lemma 2.2, if N(z) is the Mellin transform of N(t) we have

    M[HIγtN(t)](z)=zγN(z).

    Applying the Mellin transform to (3.1), gives

    N(z)[I+zγCγ]=N0nμ=1s=0(s+αμ)Tμ(Dμ;σ)s,kμ(Eμ)s,kμ[(Fμ)s,kμ]1×(dγss!)μM[tγμs+δ1](z).

    But, for t[0,ξ]

    M[tγμs+δ1](z)=ξγμs+δ1z+γμs+δ1,zC.

    Hence,

    N(z)I=N0nμ=1s=0(s+αμ)Tμ(Dμ;σ)s,kμ(Eμ)s,kμ[(Fμ)s,kμ]1×(dγss!)μξγμs+δ1r=0(1)rCγrzγrz+γμs+δ1. (3.3)

    Since

    M1[zγrz+γμs+δ1](t)=0tzzzγrz+γμs+δ1dz==0[(γμs+δ1)]0tzz(γr++2)dz==0[(γμs+δ1)][logt]γr++1Γ[1(γr++2)],

    taking the inverse Mellin transform on both sides of (3.3), yields

    N(z)I=N0nμ=1s=0(s+αμ)Tμ(Dμ;σ)s,kμ(Eμ)s,kμ[(Fμ)s,kμ]1×(dγss!)μξγμs+δ1r=0(1)rCγr=0[(γμs+δ1)]×[logt]γr++1Γ[1(γr++2)],

    which is the targeted result of (3.2).

    Continuing the same process, we obtain the following corollaries.

    Corollary 3.1. Let Tμ, Dμ, Eμ, Fμ and C be positive stable matrices in Cm×m such that Tμ+I and Fμ+I are invertible for all μN, N0, σR+0,d,k,ξR+ and αμCZ0. Then, for γCZ0 and t[0,ξ] the generalized FKE

    N(t)IN0nμ=12ΘTμ;kμ,αμ;σ1[Dμ,EμFμ;dγtγ]=CγHIγtN(t) (3.4)

    is solvable. The solution to (3.4) is given by

    N(t)I=N0log(t)nμ=1s=0(s+αμ)Tμ(Dμ;σ)n,kμ(Eμ)n,kμ[(Fμ)n,kμ]1×(dγsξγss!)μr=0=0[(logtC)γ]r[logt(γμs)]Γ[1(γr++2)]. (3.5)

    Corollary 3.2. Let T, D, E, F and C be positive stable matrices in Cm×m such that T+I and F+I are invertible for all N0, δ,σR+0,d,k,ξR+ and αCZ0. Then, for γCZ0 and t[0,ξ] the generalized FKE

    N(t)IN0tδ12ΘT;k,α;σ1[D,EF;dγtγ]=CγHIγtN(t) (3.6)

    is solvable, and 2ΘT;k,α;σ1 is as defined in (2.6). The solution to (3.7) is given by

    N(t)I=N0ξδ1log(t)s=0(s+α)T(D;σ)n,k(E)n,k[(F)n,k]1×(dγsξγss!)μr=0=0[(logtC)γ]r[logt(γμs+δ1)]Γ[1(γr++2)]. (3.7)

    Corollary 3.3. Let T, D, E, F and C be positive stable matrices in Cm×m such that T+I and F+I are invertible for all N0, σR+0,d,k,ξR+, and αCZ0. Then, for γCZ0 and t[0,ξ] the generalized FKE

    N(t)IN02ΘT;k,α;σ1[D,EF;dγtγ]=CγHIγtN(t) (3.8)

    is solvable, and 2ΘT;k,α;σ1 as defined (2.6). The solution to (3.8) is given by

    N(t)I=N0log(t)s=0(s+α)T(D;σ)n,k(E)n,k[(F)n,k]1×(dγsξγss!)μr=0=0[(logtC)γ]r[logt(γμs)]Γ[1(γr++2)]. (3.9)

    Theorem 3.2. Let T, D, E, F and C be positive stable matrices in Cm×m such that T+I and F+I are invertible for all N0, σR+0,k,ξR+ and αCZ0. Then, for γCZ0 and 2ΘT;k,α;σ1 as defined in (2.6) the generalized FKE

    N(σ)IN02ΘT;k,α;σ1[D,EF;w]=CγHIγσN(σ) (3.10)

    is solvable and its solution is given by

    N(z)I=N0n=0r=0(1)rCγr(n+α)T{(D;σ)n,k(logσ)γr1}(E)n,k[(F)n,k]1wnn!, (3.11)

    where refers to (2.15).

    Proof. Applying the Mellin transform to (3.10) gives

    N(z)[I+Cγzγ]=N0n=0(n+α)TΓ1k(D)M[Γσk(D+nI)]×(E)n,k[(F)n,k]1wnn!,

    which can be rewritten as

    N(z)I=N0n=0r=0(1)rCγr(n+α)TΓ1k(D){zγrM[Γσk(D+nI)]}××(E)n,k[(F)n,k]1wnn!.

    Applying the Mellin convolution theorem (2.15), we get

    N(z)I=N0n=0r=0(1)rCγr(n+α)TΓ1k(D){Γσk(D+nI)(logσ)γr1}×(E)n,k[(F)n,k]1wnn!,

    which is the targeted result of (3.11).

    Using the same argument, we obtain the following corollaries.

    Corollary 3.4. Let T, D, E, F and C be positive stable matrices in Cm×m such that T+I and F+I are invertible for all N0, σR+0 and αCZ0. Then, for γCZ0 and 2ΘT;α;σ1 as defined by (2.8) the generalized FKE

    N(σ)IN02ΘT;α;σ1[D,EF;w]=CγHIγσN(σ) (3.12)

    is solvable and its solution is given by

    N(z)I=N0n=0r=0(1)rCγr(n+α)T{(D;σ)n(logσ)γr1}(E)n[(F)n]1wnn!, (3.13)

    where refers to (2.15).

    Corollary 3.5. Let T, D and C be positive stable matrices in Cm×m such that T+I is invertible for all N0, σR+0,ξR+ and αCZ0. Then, for γCZ0 and 1ΘT;α;σ0 as defined by (2.11) the generalized FKE

    N(σ)IN01ΘT;α;σ0[D;w]=CγHIγσN(σ) (3.14)

    is solvable and its solution is given by

    N(z)I=N0n=0r=0(1)rCγr(n+α)T{(D;σ)n(logσ)γr1}wnn!. (3.15)

    where refers to (2.15).

    Remark 3.1. Similarly, and using special cases in Remark 2.1, we can indicate other results similar to Theorem 3.1 and Theorem 3.2.

    Considering the efficiency and high significance of FKEs in various fields of applied science and engineering, and as motivated by recent studies [19,20,30], we employed the Hadamard fractional integral operator via the Mellin integral transform to discuss the generalization of some FKEs including families of Hurwitz-Lerch zeta matrix functions. Solutions to certain FKMEs involving families of Hurwitz-Lerch zeta matrix functions have also been established. Further, our main findings under suitable matrix parametric constraints, yielded numerous known and new results through the use of zeta matrix functions that may prove to be very useful for applications in various fields of physics, engineering and technology.

    The fourth-named author extends their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Larg Groups [grant number R.G.P.2/11/43].

    This work does not have any conflict of interest.



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