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Research article

Inverse source problems for multi-parameter space-time fractional differential equations with bi-fractional Laplacian operators

  • Received: 31 August 2024 Revised: 21 October 2024 Accepted: 25 October 2024 Published: 19 November 2024
  • MSC : 35R30, 35K10, 35A09, 35A01, 35A02

  • Two inverse source problems for a space-time fractional differential equation involving bi-fractional Laplacian operators in the spatial variable and Caputo time-fractional derivatives of different orders between 1 and 2 are studied. In the first inverse source problem, the space-dependent term along with the diffusion concentration is recovered, while in the second inverse source problem, the time-dependent term along with the diffusion concentration is identified. Both inverse source problems are ill-posed in the sense of Hadamard. The existence and uniqueness of solutions for both inverse source problems are investigated. Finally, several examples are presented to illustrate the obtained results for the inverse source problems.

    Citation: M. J. Huntul. Inverse source problems for multi-parameter space-time fractional differential equations with bi-fractional Laplacian operators[J]. AIMS Mathematics, 2024, 9(11): 32734-32756. doi: 10.3934/math.20241566

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  • Two inverse source problems for a space-time fractional differential equation involving bi-fractional Laplacian operators in the spatial variable and Caputo time-fractional derivatives of different orders between 1 and 2 are studied. In the first inverse source problem, the space-dependent term along with the diffusion concentration is recovered, while in the second inverse source problem, the time-dependent term along with the diffusion concentration is identified. Both inverse source problems are ill-posed in the sense of Hadamard. The existence and uniqueness of solutions for both inverse source problems are investigated. Finally, several examples are presented to illustrate the obtained results for the inverse source problems.



    Fractional calculus broadens the scope of traditional calculus by extending the concepts of differentiation and integration to non-integer, arbitrary orders. This mathematical framework is particularly valuable for describing systems that exhibit memory and hereditary properties, transcending the limitations of classical differential and integral calculus. Fractional derivatives, which form the cornerstone of fractional calculus, offer a nuanced approach to capturing the dynamics of processes where the past influences the present, a feature not adequately addressed by integer-order derivatives [1,2,3]. These derivatives are instrumental in formulating fractional differential equations (FDEs), which effectively model complex phenomena across various domains, including engineering, physics, biology, and finance [4,5]. The adoption of FDEs allows for a more accurate representation of behaviors such as viscoelastic material response, anomalous diffusion, and memory effects, underscoring the relevance of fractional calculus in complex system analysis [6,7,8,9,10,11].

    This paper addresses two inverse source problems (ISPs) defined for the following space-time PDE:

    CDξ00+,tu(x,t)+m1j=1ajCDξj0+,tu(x,t)=(Δ)η1/2u(x,t)+(Δ)η2/2u(x,t)+F(x,t),(x,t)ΩT, (1.1)

    subject to boundary conditions

    u(1,t)=0=u(1,t),t(0,T), (1.2)

    with non-homogeneous initial conditions

    u(x,0)=ρ(x),x(1,1), (1.3)
    ut(x,0)=ν(x),x(1,1), (1.4)

    where CDξj0+,t stands for the Caputo fractional derivatives in time variable of order ξj,1<ξm1<...<ξ1<ξ0<2, and is defined by

    CDξj0+,th(t):=J2ξj0+,td2dt2h(t)=1Γ(2ξj)t0d2dτ2h(τ)(tτ)ξj1dτ,t>0,

    where ΩT:=Ω×(0,T), Ω(1,1), and aj,j=1,2,...,m1,mN are positive real constants. The Riemann-Liouville fractional integral of order ξj>0 in time is considered here and is defined as:

    Jξj0+,th(t):=1Γ(ξj)t0(tτ)ξj1h(τ)dτξj>0.

    Here, (Δ)η1/2 and (Δ)η2/2 denote the fractional Laplacian operators of orders 1<η1η2<2 in the spatial domain. These operators are defined through the spectral decomposition of the Laplacian. Consider {¯λn,ψn} as the eigenvalues and eigenfunctions, respectively, associated with the Helmholtz equation for the Laplacian operator in domain Ω, subject to Dirichlet boundary conditions on Ω:

    {ΔXn=ˉλnψn,inΩ,ψn=0,onΩ. (1.5)

    A straightforward calculation shows that ˉλn=(nπ2)2. Consequently, it follows that

    ψn(x)=sin(nπ2(x+1)),n0.

    Define the operator

    Qη1,η2Ω:=(Δ)η1/2(Δ)η2/2,1<η1η2<2,

    on Ω for

    hDom(Qη1,η2Ω)={h=n=1cnψnL2(Ω):n=1c2nλ2n<}:=˙Hη1,η2,

    and

    Qη1,η2Dh(x)=n=1cnλnψn(x)withλn=¯λnη1/2+¯λnη2/2n=1,2,.... (1.6)

    Note that the set ψn(x)n=1 constitutes an orthonormal basis for L2(Ω). It is evident that ˙Hη1,η2, a Hilbert space, is a subset of L2(Ω). This Hilbert space is equipped with the inner product ,, which denotes the conventional inner product in L2(Ω):

    u,v˙Hη1,η2=Qη1,η2Du,Qη1,η2Dv,

    and induced norms

    v˙Hη1,η2=Qη1,η2DvL2(Ω)=(n=1λ2nv,ψn(x)2)1/2.

    For instance, ˙H0,0=L2(Ω), ˙H1,1=H10(D), and ˙H2,2=H2(D)H10(D), all of which have equivalent norms. The dual space of ˙Hη1,η2 for η1,η2>0 is denoted as ˙Hη1,η2, which corresponds to the dual space (˙Hη1,η2). The notation h,ψ represents the action of h on a bounded linear functional ψ within ˙Hη1,η2. It is found that ˙Hη1,η2 is also a Hilbert space, characterized by the norm

    ψ˙Hη1,η2=(n=1λ2n|h,ψn(x)|2)1/2.

    Additionally, if hL2(Ω) and ψ˙Hη1,η2, then h,ψ=h,ψ, as illustrated in ([12], Chap. V). Now, we are going to discuss two ISPs for the given system (1.1)–(1.4).

    In this ISP-Ⅰ, we focus on a source term defined as F(x,t)=f(x). To thoroughly analyze the space-dependent source term f(x) alongside u(x,t), we require additional information commonly referred to as an over-specified condition, presented as

    u(x,T)=Φ(x),xΩ. (1.7)

    A classical solution to the ISP-Ⅰ, namely a pair of functions {u(x,t),f(x)}, satisfies the conditions that Tξ0+ξj1f(x)C(ˉΩ), ˉΩT:=ˉΩ×[0,T], ˉΩ[1,1], tξ0+ξj1u(x,t)C(ˉΩT), Qη1,η2Ωu(,t)C(ˉΩ), t2ξ0+ξj1CDξ00+,tu(x,)C([0,T]), and t2ξ0+ξj1CDξj0+,tu(x,)C([0,T]),j=1,2,...,m1mN. Our investigation will cover the existence and uniqueness results for the solution of the ISP-Ⅰ under specific assumptions about the given data.

    In this ISP-Ⅱ, we examine a source term defined as F(x,t)=q(t)f(x,t). To fully reconstruct the pair of functions u(x,t),q(t), additional information, commonly referred to as an over-specified condition, is required and is provided by

    11u(x,t)dx=E(t),t[0,T]. (1.8)

    We define a classical solution for the ISP-Ⅱ as the set {u(x,t),q(t)}, where

    q(t)C[0,T],tξ0+ξj1u(x,t)C(ˉΩT),Qη1,η2Ωu(,t)C(ˉΩ),t2ξ0+ξj1CDξ00+,tu(x,)C([0,T])

    and

    t2ξ0+ξj1CDξj0+,tu(x,)C([0,T]),j=1,2,...,m1,mN.

    We aim to demonstrate that, under specific conditions applied to the given data, a unique classical solution for the ISP-Ⅱ exists.

    The ISPs involving FDEs are a significant area of research in applied mathematics and physics. These problems aim to determine unknown parameters or inputs in a system governed by fractional derivatives, which generalize classical integer-order derivatives to non-integer orders. FDEs are particularly useful in modeling processes with memory effects and anomalous diffusion. Solving ISPs in this context involves techniques to reconstruct hidden information from observable data, often leading to applications in fields such as engineering, finance, and biology. Huntul et al. [13,14] considered the IP of recovering the time-dependent source term for time fractional pseudoparabolic equation. The two ISPs for the time FDEs are studied in [15,16]. Direct and ISPs involving the estimation of specific parameters using numerical techniques for a multi-term time FDE are examined in [17]. Li et al. [18] investigated the well-posedness and long-term asymptotic behavior of initial-boundary value problems for multi-term time FDEs. Lin et al. [19] studied the three dimensional meshfree analysis for time-Caputo and space-Laplacian fractional diffusion equation. The governing equation under consideration involves a linear combination of Caputo derivatives in time with decreasing orders in the interval (0,1) and includes positive constant coefficients. The discussion focuses on ISPs involving the determination of a time-dependent source term for higher-order multi-term FDEs that incorporate the Caputo-Fabrizio derivative [20]. The direct and ISPs for integro-differential equations involving generalized fractional derivatives, along with appropriate over-specified conditions, are discussed in [21,22,23]. The ISP for a class of multi-term time FDEs with non-local boundary conditions is examined in [24]. Ilyas et al. [25] focused on examining two ISPs related to a multi-term time-fractional evolution equation that includes an involution term, bridging the characteristics of both the heat and wave equations. Suhaib et al. [26] examined an ISP to identify a time-dependent source term in a multi-term FDE, incorporating a non-local dynamic boundary condition and an integral-type overdetermination condition. The ISP of determining both diffusion and source terms simultaneously in a multi-term FDE is studied in [27]. Ilyas et al. [28] considered an ISP for a diffusion equation involving a fractional Laplacian operator in space and Hilfer fractional derivatives in time with Dirichlet zero boundary conditions.

    The rest of the paper is organized as follows: in this section, we provide the definition of the multinomial Prabhakar and Mittag-Leffler functions and describe several of their properties. In Section 3, we formulate the solution of ISP-Ⅰ, investigate the existence and uniqueness results for ISP-Ⅰ, and present the ill-posedness of ISP-Ⅰ. In Section ref{ISPII}, we present the solution of ISP-Ⅱ, discuss the existence and uniqueness results for ISP-Ⅱ, and also discuss the ill-posedness of ISP-Ⅱ. We also provide some examples related to ISP-Ⅰ and ISP-Ⅱ. In the last section, we present the conclusion.

    In this section, we will define the multinomial Prabhakar and Mittag-Leffler functions and discuss some of their important properties.

    Definition 1. [29] For γ>0, ηi>0, ziC,i=1,2,...,m, mN, the multinomial Prabhakar function is defined as

    Eδ(η1,η2,...,ηm),γ(z1,z2,...,zm):=k=0l1+l2+...+lm=kl10,...,lm0(δ)kl1!...lm!mi=1zliiΓ(γ+mi=1ηili),

    where (δ)k denotes the Pochhammer symbol

    (δ)k=δ(δ+1)...(δ+k1),kN,δ0=1.

    Theorem 1. [30] Let 1η1>η2>...>ηm>0, 0<η1δγ1, and zi>0,i=1,2,...,m. Then

    Eδ(η1,η2,...,ηm),γ(z1,z2,...,zm)CMF,

    where CMF represents the complete monotone function.

    In the special case δ=1, the Pochhammer symbol yields (1)k=k! and Definition 1 is the multinomial Mittag-Leffler function which is defined as follows:

    Definition 2. [31] For γ>0, ηi>0, ziC,i=1,2,...,m, mN, the multinomial Mittag-Leffler function is defined as:

    E(η1,η2,...,ηm),γ(z1,z2,...,zm):=k=0l1+l2+...+lm=kl10,...,lm0(k;l1,...,lm)mi=1zliiΓ(γ+mi=1ηili),

    where (k;l1,...,lm)=k!l1!×...×lm!.

    Moreover, note that

    E(ξ1,ξ2,...,ξm),γ(z1,z2,...,zm)=E(ξm,...,ξ2,ξ1),γ(zm,...,z2,z1). (2.1)

    Remark 1. For z10 and z2=Z3=...=zm=0, mN, the multinomial Mittag-Leffler function reduces to

    E(η1,η2,...,ηm),γ(z1,0,...,0)=k=0zk1Γ(γ+η1k):=Eη1,γ(z1). (2.2)

    Lemma 1. [18] Let 0<γ<2 and 0<ηm<...<η1<1 be given. Assume that η1π/2<μ<η1π, μ|arg(m2τη1)|π, and there exist K>0 such that Km1τη1η2<0 and Km2τη1<0. Then there exists a constant C0>0 depending only on μ,K,ηi,i=1,2,...,m, and γ such that

    |E(η1ηm,...,η1η2,η1),γ(zm,...,z2,z1)|C01+|zm|.

    For convenience, we use the following notation:

    E(η1,η2,...,ηm),γ(τ;μ1,μ2,...,μm):=τγ1E(η1,η2,...,ηm),γ(μ1τη1,μ2τη2,...,μmτηm), (2.3)

    where μi>0,i=1,2,...,m,mN.

    Lemma 2. [32] For ηi,γ,τ,μi>0, i=1,2,...,m, mN the Laplace transform of the multinomial Mittag-Leffler function is given by

    £{E(η1,η2,...,ηm),γ(τ;μ1,...,μm)}=sγ1+mi=1μisηi,if|mi=1μisηi|<1.

    Lemma 3. [25] For ηi,β,γ,τ,μi>0,i=1,2,...,m, the Mittag-Leffler-type functions have the following properties:

    cDγ0+,τ(E(η1,η2,...,ηm),1(τ;μ1,μ2,...,μm))=τγE(η1,η2,...,ηm),1γ(τ;μ1,μ2,...,μm),

    cDγ0+,τ(tγβE(η1,η2,...,ηm),γβ+1(τ;μ1,μ2,...,μm))=τβE(η1,η2,...,ηm),1β(τ;μ1,μ2,...,μm),

    RLDγ0+,τ(τγ1E(η1,η2,...,ηm),γ(τ;μ1,μ2,...,μm))=τβE(η1,η2,...,ηm),1β(τ;μ1,μ2,...,μm),

    J1γ0+,τ(τγ1E(η1,η2,...,ηm),γ(τ;μ1,μ2,...,μm))=E(η1,η2,...,ηm),1(τ;μ1,μ2,...,μm).

    Lemma 4. [32] For gC1([a,b]) and ηi,μi>0, for i=1,2,...,m, we have

    |g(τ)E(η1,η2,...,ηm),η1(τ;μ1,μ2,...,μm)|Cμ1gC1([0,T]),

    where represents the Laplace convolution and gC1[0,T]=supt[0,T]|g(t)|+supt[0,T]|g(t)|.

    Lemma 5. [32] For ηi,γ,β,τ,μi>0,i=1,2,...,m, mN, we have the following relation:

    τγE(η1,η2,...,ηm),β(τ;μ1,μ2,...,μm)=Γ(γ+1)E(η1,η2,...,ηm),β+γ+1(τ;μ1,μ2,...,μm).

    Proposition 1. [32] The following identities hold for Mittag-Leffler functions:

    Eη1,3(τ;μ1)=τ2Γ(3)μ1Eη1,3+η1(τ;μ1),

    E(η1,η1η2),3η2(τ;μ1,μ2)+μ2E(η1,η1η2),3+η12η2(τ;μ1,μ2)=τ2η2Γ(3η2)μ1E(η1,η1η2),3+η1η2(τ;μ1,μ2),

    The solution of the ISP-Ⅰ (1.1)–(1.4) and (1.7) can be written by using Fourier's method:

    u(t,x)=n=1Tn(t)ψn(x),f(x)=n=1fnψn(x),

    where Tn(t) and fn are the unknowns and satisfy the following fractional differential equation:

    CDξ10+,tTn(t)+m1j=1ajCDξj0+,tTn(t)=λnTn(t)+f(x),ψn(x), (3.1)

    where λn=(ˉλn)η1/2+(ˉλn)η2/2. Applying the Laplace transform and incorporating the initial conditions (1.3) and (1.4), we obtain

    L{Tn(t);s}=s(ξ01)ρ(x),ψn(x)sξ0+m1j=1ajsξjλn+m1j=1ajs(ξj1)ρ(x),ψn(x)sξ0+m1j=1ajsξjλn+s(ξ01)ν(x),ψn(x)sξ0+m1j=1μjsξjλn+m1j=1ajs(ξj1)ν(x),ψn(x)sξ0+m1j=1μjsξjλn+fns(sξ0+m1j=1μjsξjλn).

    Due to Lemma 2, we obtain

    Tn(t)= Eξ,1(..r..)ρ(x),ψn(x)+m1j=1ajEξ,ξ0ξj+1(..r..)ρ(x),ψn(x)+Eξ,2(..r..)ν(x),ψn(x)+m1j=1ajEξ,ξ0ξj+2(..r..)ν(x),ψn(x)+Eξ,ξ0+1(..r..)f(x),ψn(x), (3.2)

    where ξ and (..r..) are defined as

    ξ=(ξ0,ξ0ξ2,...,ξ0ξm1)and(..r..)=(t;λn,a1,a2,...,am1),

    where fn=f(x),ψn(x). To calculate the space-dependent source term fn, we will employ the over-specified condition (1.7), which leads to the following expression:

    fn=1Eξ,ξ0+1(..r..)|t=T{Φ(x),ψn(x)(Eξ,1(..r..)|t=Tρ(x),ψn(x)+m1j=1ajEξ,ξ0ξj+1(..r..)|t=Tρ(x),ψn(x)+Eξ,2(..r..)|t=Tν(x),ψn(x)+m1j=1ajEξ,ξ0ξj+2(..r..)|t=Tν(x),ψn(x))}. (3.3)

    Consequently, the solution to the ISP-Ⅰ, specifically {u(x,t),f(x)}, is provided by

    u(x,t)=n=1(Eξ,1(..r..)ρ(x),ψn(x)+m1j=1ajEξ,ξ0ξj+1(..r..)ρ(x),ψn(x)+Eξ,2(..r..)ν(x),ψn(x)+m1j=1ajEξ,ξ0ξj+2(..r..)ν(x),ψn(x)+Eξ,ξ0+1(..r..)f(x),ψn(x))ψn(x), (3.4)

    and

    f(x)=n=11Eξ,ξ0+1(..r..)|t=T{Φ(x),ψn(x)(Eξ,1(..r..)|t=Tρ(x),ψn(x)+m1j=1ajEξ,ξ0ξj+1(..r..)|t=Tρ(x),ψn(x)+Eξ,2(..r..)|t=Tν(x),ψn(x)+m1j=1ajEξ,ξ0ξj+2(..r..)|t=Tν(x),ψn(x))}ψn(x). (3.5)

    Lemma 6. For g(.,t)C2([1,1) satisfying g(1,t)=0=g(1,t), we have

    |gn(t)| D1|λn|2g(ii)(x,t),

    where

    gn(t)= g(x,t),Xn(x). (3.6)

    Proof. From the expression of gn(t) given by (3.6) and integration by parts, we obtain

    gn=1|λn|2g(ii)(x,t),Xn(x).

    Using the Cauchy-Schwarz inequality, we have

    |gn|1|λn|2g(ii)(x,t)Xn(x),

    which implies

    |gn|D1|λn|2g(ii)(x,t),

    where Xn(x)D1.

    In this subsection, we will describe the classical solution of the ISP-Ⅰ under the given data. Before proceeding further, we present the following lemma, which will be used to determine the continuity of the series obtained by taking the Caputo fractional derivative of the series solution.

    Lemma 7. (Lemma 15.2 [33], page 278) Let the fractional derivative CDη0+,xgn(x) exist for all nN and for every ϵ>0, the series n=1gn(x) and n=1CDη0+,xgn(x) are uniformly convergent on the subinterval [ϵ,b]. Then

    CDη0+,x(n=1gn(x))=n=1CDη0+,xgn(x),η>0,0<x<1.

    Theorem 2. Let ρ(x),ν(x), and Φ(x) satisfy the following conditions:

    (1) ρC2(Ω) such that ρ(1)=0=ρ(1).

    (2) νC2(Ω) such that ν(1)=0=ν(1).

    (3) ΦC2(Ω) such that Φ(1)=0=Φ(1).

    Then, there exists a classical solution of the ISP-I.

    Proof. To establish the existence of a solution for the ISP-Ⅰ, it is necessary to demonstrate the uniform convergence of the infinite series related to the functions f(x), u(x,t), CDξ00+,tu(x,t), and CDξj0+,tu(x,t),j=1,2,...,m1,mN. Initially, we demonstrate that Tξ0+ξj1|f(x)| denotes a continuous function. By utilizing Lemma 1 and Eq (3.5), we derive

    |f(x)|n=1|λn|C0{|Φn|C0|λn|(|ρn|Tξ0+m1j=1aj|ρn|Tξj+|νn|T1ξ0+m1j=1aj|νn|T1ξj)}.

    By Lemma 6, we obtain

    Tξ0+ξj1|f(x)|n=1D0|λn|{|λn|C0ΦTξ0+ξi1(ρTξj1+m1j=1ajρTξ01+νTξj+m1j=1ajνTξ0)}. (3.7)

    Since, λn=(nπ2)η1+(nπ2)η2 and 1<η1η2<2, by (3.7), we can conclude that the series Tξ0+ξj1|f(x)| converges uniformly for xΩT. Consequently, by the Weierstrass M-test, the series Tξ0+ξj1|f(x)| represents a continuous function. Subsequently, we demonstrate that tξ0+ξj1|u(x,t)| denotes a continuous function. Utilizing Lemma 1 and Eq (3.4), we derive the ensuing inequality:

    |u(x,t)|n=1C0|λn|(|ρn|tξ0+m1j=1aj|ρn|tξj+|νn|t1ξ0+m1j=1aj|νn|t1ξj+|fn|).

    Due to Lemma 6, we obtain

    tξ0+ξj1|u(x,t)|n=1C0|λn|3(ρtξj1+m1j=1ajρtξ01+νtξj+m1j=1ajνtξ0+ftξ0+ξj1). (3.8)

    Based on (3.8), the uniform convergence of the tξ0+ξj1|u(x,t)| is guaranteed due to the Weierstrass M-test. Hence, we can say that the series tξ0+ξj1|u(x,t)| represents a continuous function.

    Next, we will discuss the convergence of Qη1,η2Ωu(x,t). Due to (1.6), we have

    Qη1,η2Ωu(x,t)=n=1¯λnρ/2Tn(t)Xn(x),λn=λn+¯λnη2/2. (3.9)

    From (3.8) and under the assumption of Theorem 4, we can concluded that the uniform convergence of Qη1,η2Ωu(x,t) is ensured. Next, we will investigate the uniform convergence of the corresponding infinite series t2ξ0+ξj1|CDξ00+,tu(x,t)| and t2ξ0+ξj1|CDξj0+,tu(x,t)|. Due to Lemma 7, we have

    CDξ00+,tu(x,t)=n=1CDξ00+,tTn(t)ψn(x).

    In order to prove the uniform convergence of t2ξ0+ξj1|CDξ00+,tu(x,t)|, we need to show that t2ξ0+ξj1|CDξ00+,tTn(t)| is uniformly convergent. By Lemma 3 and Eq (3.2), we obtain the following expression:

    CDξ00+,tTn(t)= Eξ,1ξ0(..r..)ρ(x),ψn(x)+m1j=1ajEξ,1ξj(..r..)ρ(x),ψn(x)+ Eξ,2ξ0(..r..)ν(x),ψn(x)+m1j=1ajEξ,2ξj(..r..)ν(x),ψn(x)+ Eξ,1(..r..)f(x),ψn(x).

    By using Lemmas 1 and 6, we obtain

    t2ξ0+ξj1|CDξ00+,tTn(t)|n=1C0|λn|3(ρ(x)tξj1+m1j=1ajρ(x)tξ01+ν(x)tξj+m1j=1ajν(x)tξ0+f(x)t2ξ0+ξj1).

    The series t2ξ0+ξj1|CDξ00+,tTn(t)| is bounded above. Hence, t2ξ0+ξj1|CDξ00+,tu(x,t)| is uniformly continuous by the Weierstrass M-test. In a similar way, we can find that the series corresponding to t2ξ0+ξj1|CDξj0+,tu(x,t)|,j=1,2,3,...,m1, represents a continuous function.

    In this subsection, the uniqueness of the solution of the ISP-Ⅰ is discussed.

    Theorem 3. Let {u(x,t),f(x)} and {˜u(x,t),˜f(x)} be two regular solution sets of the ISP-I. If u(x0,t)=˜u(x0,t) for some x0(π,π), then

    u(x,t)=˜u(x,t)f(x)=˜f(x),x(π,π)and(x,t)ΩT.

    Proof. Consider the following functions:

    Tn(t)=11u(x,t)ψn(x)dx,and˜Tn(t)=11˜u(x,t)ψn(x)dx. (3.10)

    Applying CDξj0+,t,j=0,1,2,...,m1, to both sides of the second equation in (3.10), we obtain

    CDξi0+,t˜Tn(t)=11CDξi0+,t˜u(x,t)ψn(x)dx.

    From (1.1), we obtain the following fractional differential equations:

    CDξi0+,t˜Tn(t)=λn˜Tn(t)+˜fn. (3.11)

    Using the Laplace transform and initial conditions (1.3) and (1.4), we have

    ˜Tn(t)= ˜Tn(0)(Eξ,1(..r..)+m1j=1ajEξ,ξ0ξj+1(..r..))+˜Tn(0)(Eξ,2(..r..)+m1j=1ajEξ,ξ0ξj+2(..r..))+˜fnEξ,ξ0+1(..r..).

    Similarly, the following expressions of Tn(t) from the first equations in (3.10) is obtained:

    Tn(t)= Tn(0)(Eξ,1(..r..)+m1j=1ajEξ,ξ0ξj+1(..r..))+Tn(0)(Eξ,2(..r..)+m1j=1ajEξ,ξ0ξj+2(..r..))+fnEξ,ξ0+1(..r..).

    By using the assumption u(x,t)=˜u(x,t), we have Tn(t)=˜Tn(t) and hence

    fnEξ,ξ0+1(..r..)= ˜fnEξ,ξ0+1(..r..),(fn˜fn)Eξ,ξ0+1(..r..)=0.

    Taking the Laplace transform, we get

    (fn˜fn)sξ0+m1j=1μisαiλn=0,Re s>0,fn˜fnω+λn=0, (3.12)

    where sα0+mi=1μisαi=ω. By taking a suitable disk D1 which includes only λ1,1 and using the Cauchy integral theorem, integrating (3.12) along the disk, we have

    fk,1=˜fk,1,fork=0.

    In a similar way, by taking different disks, we can find that

    fk,1=˜fk,1,for allkN.

    Similarly, we can find that

    fk,2=˜fk,2,for allkN.

    Hence, we have f(x)=˜f(x).

    In this subsection, we present an example to demonstrate the ill-posedness of ISP-Ⅰ. Before delving into the example, it is important to summarize a few pertinent observations.

    Lemma 8. For λn>0, the following result holds:

    ddtEξ,1(..r..)=λntξ01Eξ,ξ0(..r..). (3.13)

    Moreover, for T>0 the following estimate holds true:

    T0tξ01Eξ,ξ0(..r..)|r=τdτC1λn, (3.14)

    where C1 is a positive constant.

    Proof. From Lemma 2, Eq (3.13) can be proved. To obtain the estimate of (3.14), we consider

    T0Eξ,ξ0(..r..)|r=τdτ=1λnT0ddτEξ,1(..r..)|r=τdτ=1λn(1Eξ,1(..r..)|r=T).

    This implies

    T0Eξ,ξ0(..r..)|r=τdτ=1λn(1λntξ0Eξ,ξ0+1(..r..)|r=T).

    Due to Lemma 1, we obtain

    T0Eξ,ξ0(..r..)|r=τdτC1λn.

    The above inequality can be written as

    Eξ,ξ0+1(..r..)|t=TC1λn.

    The following example addresses the result concerning the ill-posedness of ISP-Ⅰ. Considering the initial conditions to be ˜ρ(x)=0 and ˜ν(x)=0, and the final condition as

    ˜Φ(x)=1λksin(kπ2(x+1)),

    where kN, the following expression for ˜f(x) is obtained:

    ˜f(x)=1λkEξ,ξ0+1(..r..)|t=Tsin(kπ2(x+1)).

    By considering another final data Φ(x)=0 and fixing the initial conditions as ˜ρ(x)=0 and ˜ν(x)=0, we obtain f(x)=0. The two input final data have the following error in the L2-norm:

    ˜ΦΦL2((1,1))=1λksin(kπ2(x+1))L2((1,1))=1λk.

    Hence,

    limk+˜ΦΦL2((1,1))=limk+1λk=0. (3.15)

    Additionally, the difference between corresponding source terms in the L2-norm is

    ˜ffL2((1,1))=1λkEξ,ξ0+1(..r..)|t=Tsin(kπ2(x+1))L2((1,1))=1λkEξ,ξ0+1(..r..)|t=T.

    Using estimate (3.14), we obtain

    ˜ffL2((1,1))λkC1,

    which leads us to

    limk+˜ffL2((1,1))>limk+λkC1=+. (3.16)

    Hence, based on Eqs (3.15) and (3.16), we conclude that ISP-Ⅰ is ill-posed.

    The solution of the inverse problems (1.1)–(1.4) and (1.8) can be written by using Fourier's method:

    u(t,x)=n=1Tn(t)ψn(x),

    where Tn(t) are the unknowns and satisfy the following fractional differential equation:

    CDξ10+,tTn(t)+m1j=1ajCDξj0+,tTn(t)=λnTn(t)+q(t)f(x,t),ψn(x). (4.1)

    By using the Laplace transform and the initial conditions (1.3) and (1.4), we get

    L{Tn(t);s}= s(ξ01)ρ(x),ψn(x)sξ0+m1j=1ajsξj+λn+m1j=1ajs(ξj1)ρ(x),ψn(x)sξ0+m1j=1ajsξj+λn+s(ξ01)ν(x),ψn(x)sξ0+m1j=1μjsξj+λn+m1j=1ajs(ξj1)ν(x),ψn(x)sξ0+m1j=1μjsξj+λn+L{q(t)f(x,t),ψn(x);s}sξ0+m1j=1μjsξj+λn.

    Due to Lemma 2, we obtain

    Tn(t)= Eξ,1(..r..)ρ(x),ψn(x)+m1j=1ajEξ,ξ0ξj+1(..r..)ρ(x),ψn(x)+Eξ,2(..r..)ν(x),ψn(x)+m1j=1ajEξ,ξ0ξj+2(..r..)ν(x),ψn(x)+Eξ,ξ0(..r..)q(t)f(x,t),ψn(x). (4.2)

    Hence, the solution u(x,t) is given by

    u(x,t)=n=1(Eξ,1(..r..)ρ(x),ψn(x)+m1j=1ajEξ,ξ0ξj+1(..r..)ρ(x),ψn(x)+ Eξ,2(..r..)ν(x),ψn(x)+m1j=1ajEξ,ξ0ξj+2(..r..)ν(x),ψn(x)+ Eξ,ξ0(..r..)q(t)f(x,t),ψn(x))ψn(x), (4.3)

    where q(t) is still to be determined.

    In this section, we will discuss the main results for the solution of the ISP-Ⅱ.

    In this subsection, we will present the existence of the solution of the ISP-Ⅱ under certain assumptions of the following theorem.

    Theorem 4. Let the following conditions hold:

    (1) ρC2)(Ω) such that ρ(1)=0=ρ(1).

    (2) νC2(Ω) such that ν(1)=0=ν(1).

    (3) f(,t)C2(Ω) such that f(1,t)=0=f(1,t). Furthermore 11f(x,t)dx0, and

    (11f(x,t)dx)1M1,

    for some positive constant M1,

    (4) EAC([0,T]) and E(t) satisfies the following consistency condition:

    11ρ(x)dx=E(t).

    Then, there exists a unique regular solution of the ISP-II.

    Proof. To prove the unique existence of the time-dependent source term q(t), we will use the over-specified condition (1.8), and then we have the following relation:

    11(CDξ10+,tu(x,t)+m1j=1ajCDξj0+,tu(x,t))dx=(CDξ10+,t+m1j=1ajCDξj0+,t)E(t).

    From (1.1), we have

    11((Δ)η1/2u(x,t)+(Δ)η2/2u(x,t)+q(t)f(x,t))dx=CDξ10+,tE(t)+m1j=1ajCDξj0+,tE(t),

    which yields the following expression:

    q(t)=[11f(x,t)dx]1[CDξ10+,tE(t)+m1j=1ajCDξj0+,tE(t)+n=1nπ{Eξ,1(..r..)ρ(x),ψn(x)+m1j=1ajEξ,ξ0ξj+1(..r..)ρ(x),ψn(x)+Eξ,2(..r..)ν(x),ψn(x)+m1j=1ajEξ,ξ0ξj+2(..r..)ν(x),ψn(x)+t0(tτ)ξ11Eξ,ξ1(..r..)|t=tτq(τ)f(x,τ),ψn(x)dτ}(cos(nπ)1)]. (5.1)

    We let

    T(t)=n=1nπ{Eξ,1(..r..)ρ(x),ψn(x)+m1j=1ajEξ,ξ0ξj+1(..r..)ρ(x),ψn(x)+ Eξ,2(..r..)ν(x),ψn(x)+m1j=1ajEξ,ξ0ξj+2(..r..)ν(x),ψn(x)}(cos(nπ)1), (5.2)

    and

    K(t,τ)=n=1nπEξ,ξ1(..r..)|t=tτf(x,τ),ψn(x)(cos(nπ)1). (5.3)

    Hence, (5.1) becomes

    q(t)=[11f(x,t)dx]1[CDξ00+,tE(t)+m1j=1ajCDξj0+,tE(t)+T(t)+t0q(τ)K(t,τ)dτ]. (5.4)

    Define the mapping S:C([0,T])C([0,T]) by

    S(q(t)):=q(t), (5.5)

    where q(t) is given by (5.1). First, we will show that for q(t)C([0,T]), the mapping S(q(t)) is well-defined and then, second, we will show that the mapping is a contraction.

    Due to Lemmas 1 and 6, and Eqs (5.2) and (5.3), we have

    tξ0+ξj1|T(t)|n=1C0|λn|3(ρ(x)tξj1+m1j=1ajρ(x)tξ01+ν(x)tξj+m1j=1ajν(x)tξ0), (5.6)
    (tτ)|K(t,τ)|n=1C0|λn|3f(τ). (5.7)

    From Eqs (5.6) and (5.7), we conclude that the series tξ0+ξj1|T(t)| and (tτ)|K(t,τ)| are bounded above. Hence, by virtue of the Weierstrass M-test, tξ0+ξj1|T(t)| and (tτ)K(t,τ) represent continuous functions. Furthermore, we can have M2>0 such that

    |K(t,τ)|M2.

    Hence, the mapping defined by (5.5) is well-defined.

    Next, we will show that the mapping S(q(t)) is a contraction. By virtue of Eq (5.4), we have

    |q1(τ)q2(τ)|=[11(x,t)dx]1{t0K(t,τ)|q1(τ)q2(τ)|dτ}. (5.8)

    By the assumptions of Theorem 4, we obtain

    max0tT|S(q1(t))S(q2(t))|M1M2Tmax0tT|q1(τ)q2(τ)|.

    For T<1M1M2, where M1 and M2 are positive constant independent of n,

    max0tTS(q1(t))S(q2(t))C([0,T])M1M2Tmax0tTq1q2C([0,T]),

    which implies that the mapping S(.) is a contraction. Hence, the unique existence is guarenteed by using the Banach fixed point theorem.

    Next, we will prove that the regular solution u(x,t) given by (4.3), Qη1,η2Ωu(x,t), t2ξ0+ξj1|CDξ00+,tu(x,t)|, and t2ξ0+ξj1|CDξj0+,tu(x,t)|,j=1,2,...,m1,mN, represent continuous functions. From Eq (4.3), we have

    |u(x,t)|n=1(|Eξ,1(..r..)ρ(x),ψn(x)|+|m1j=1ajEξ,ξ0ξj+1(..r..)ρ(x),ψn(x)|+ |Eξ,2(..r..)ν(x),ψn(x)|+|m1j=1ajEξ,ξ0ξj+2(..r..)ν(x),ψn(x)|+ |Eξ,ξ0(..r..)q(t)f(x,t),ψn(x)|)|ψn(x)|.

    By Lemmas 1 and 4, we have

    |u(x,t)|n=1C0|λn|(ρ(x)tξ0+m1j=1ajρ(x)tξj+ν(x)t1ξ0+m1j=1ajν(x)t1ξj+qf),

    which yields to

    tξ0+ξj1|u(x,t)|n=1C0|λn|(ρ(x)tξj1+m1j=1ajρ(x)tξ01+ν(x)tξj+m1j=1ajρ(x)tξ0+M3ftξ0+ξj1). (5.9)

    The uniform convergence of the series involved in (5.9) is ensured by using the Weierstrass M-test. Hence, we deduce that the series tξ0+ξj1|u(x,t) represents a continuous function.

    Next, due to (1.6), (3.8), and under the assumption of Theorem 4, we can show the uniform convergence of Qη1,η2Ωu(x,t).

    Similarly, we will show that the convergence of t2ξ0+ξj1|CDξ00+,tu(x,t)| and t2ξ0+ξj1|CDξj0+,tu(x,t)|,j=1,2,...,m1,mN, represent continuous functions.

    In this subsection, we will discuss the uniqueness of the solution of the ISP-Ⅱ (1.1)–(1.4) and (1.8).

    Theorem 5. The regular solution of the ISP-II is unique by satisfying the assumptions of Theorem 4.

    Proof. We have already proved the uniqueness of the time-dependent source term q(t) by using the Banach fixed point theorem. It remains to prove the uniqueness of u(x,t). Let ˉu(x,t)=u1(x,t)u2(x,t), where u1(x,t) and u2(x,t) are two solution sets of the ISP-Ⅱ (1.1)–(1.4) and (1.8). Then, we have the following relation:

    CDξ00+,t˜u(x,t)+m1j=1ajCDξj0+,t˜u(x,t)=(Δ)η1/2˜u(x,t)+(Δ)η2/2˜u(x,t),xΩT,

    with boundary conditions (1.2) and initial conditions:

    ˜u(x,0)=0,˜ut(x,0)=0,x(1,1). (5.10)

    Consider the following function:

    ˜Tn(t)=11˜u(x,t)ψn(x)dx. (5.11)

    Taking the Caputo fractional derivatives CDξ0+,t(.), we obtain the following fractional differential equation:

    CDξ00+,t˜Tn(t)+m1j=1ajCDξj0+,t˜Tn(t)=λn˜Tn(t)+ˉq(t)fn(t).

    By using the Laplace transform technique, we obtain

    ˜Tn(t)=˜Tn(0)(Eξ,1(..r..)+m1j=1ajEξ,ξ0ξj+1(..r..))+~Tn(0)(Eξ,2(..r..)+m1j=1ajEξ,ξ0ξj+2(..r..))+Eξ,ξ0(..r..)˜q(t)f(x,t),ψn(x).

    By using the uniqueness of q(t) and the initial conditions (5.10), we get

    \begin{align*} \tilde{T}_{n}(t) & = 0, \quad t \in [0,T]. \end{align*}

    Hence, we have

    u_{1}(x,t) = u_{2}(x,t).

    In this subsection, we will demonstrate the ill-posedness of the ISP-Ⅱ. We present the following example to illustrate the ill-posedness of ISP-Ⅱ. In Equation (1.1), we consider two fractional derivatives, that is, a_{i} = 0 , i = 2, 3, ..., m-1, and

    \begin{equation*} \tilde{f}(x,t) = \lambda_{k}\Bigg(\frac{\Gamma(3-\xi_{1})}{\Gamma(3-\xi_{0}-\xi_{1})}+a_{1}\frac{\Gamma(3-\xi_{1})}{\Gamma(3-2\xi_{1})}t^{\xi_{0}-\xi_{1}}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) t^{\xi_{0}}\Bigg)\sin\Big(\frac{\pi}{2}(x+1)\Big). \end{equation*}

    The initial conditions (1.3) and (1.4) are taken to be zero and the over-specified condition is given by

    \begin{equation*} \int_{-1}^{1}\tilde{u}(x,t)dx = \frac{4\lambda_{k}t^{2-\xi_{1}}}{\pi}. \end{equation*}

    Using Lemma 5 and Proposition 1, we obtain

    \begin{equation*} \tilde{u}(x,t) = \lambda_{k}t^{2-\xi_{1}} \sin\Big(\frac{\pi}{2}(x+1)\Big). \end{equation*}

    The implicit expression for q(t) has the following form:

    \begin{align*} q(t) = & \left[ \int_{-1}^{1}f(x,t)dx\right]^{-1}\biggl[{}^{C}D_{0_+,t}^{\xi_0}E(t)+a_{1} {}^{C}D_{0_+,t}^{\xi_1}E(t) +\mathcal{T}(t)+ \int_{0}^{t} q(\tau)K(t,\tau)d\tau\bigg], \end{align*}

    where

    \begin{align*} \int_{0}^{1}f(x,t)dx = \ &\frac{4\lambda_{k}}{\pi}\Bigg(\frac{\Gamma(3-\xi_{1})}{\Gamma(3-\xi_{0}-\xi_{1})}+a_{1}\frac{\Gamma(3-\xi_{1})}{\Gamma(3-2\xi_{1})}t^{\xi_{0}-\xi_{1}}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) t^{\xi_{0}}\Bigg),\\ {}^{C}D_{0_+,t}^{\xi_0}E(t) = \ &\frac{4\lambda_{k}\Gamma(3-\xi_{1})}{\Gamma(3-\xi_{0}-\xi_{1})}t^{2-\xi_{0}-\xi_{1}},\qquad {}^{C}D_{0_+,t}^{\xi_1}E(t) = \frac{4\lambda_{k}\Gamma(3-\xi_{1})}{\pi \Gamma(3-2\xi_{1})}t^{2-2\xi_{1}}, \qquad \mathcal{T}(t) = 0, \end{align*}
    K(t,\tau) = \frac{4\lambda_{k}}{\pi}\Bigg(\frac{\Gamma(3-\xi_{1})}{\Gamma(3-\xi_{0}-\xi_{1})}+a_{1}\frac{\Gamma(3-\xi_{1})}{\Gamma(3-2\xi_{1})}t^{\xi_{0}-\xi_{1}}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) t^{\xi_{0}}\Bigg)\mathcal{E}_{\boldsymbol{\xi},\xi_{1}}(..r..)|_{t = t-\tau}.

    Consequently, we get

    q(t) = t^{3-\xi_{0}-\xi_{1}}.

    Now, assume that we have another source term, i.e., f(x, t) . Hence, the solution related to f(x, t) is u(x, t).

    An error in L^{2}({\Omega}_{T}) between two corresponding solutions is:

    \begin{align*} \|\tilde{u}-u\|_{L^{2}({\Omega}_{T})}& = \int_{0}^{T}\|\tilde{u}-u\|_{L^{2}(-1,1)}dt\;\; \leq \; \frac{4\lambda_{k}}{\pi} \int_{0}^{T}t^{2-\xi_{1}} \;dt. \end{align*}

    This yields

    \begin{align*} \|\tilde{u}-u\|_{L^{2}({\Omega}_{T})}& = \frac{4\lambda_{k}{T}^{3-\xi_{1}}}{\pi(3-\xi_{1})}. \end{align*}

    Taking the limit as k\rightarrow \infty , one gets the ill-posedness of the ISP-Ⅱ:

    \begin{equation*} \label{uillposed} \lim\limits_{k \to \infty}\|\tilde{u}-u\|_{L^{2}({\Omega}_{T})} = \frac{4{T}^{3-\xi_{1}}}{\pi(3-\xi_{1})} \lim\limits_{k \to \infty} \lambda_{k} = +\infty. \end{equation*}

    In this section, we will present some examples for the ISPs.

    Example 1. As a specific example of ISP-I, we consider

    \rho(x) = \cos \big(\frac{x}{2}\big),\quad \nu(x) = \frac{t^{\xi_{0}}}{\Gamma(5+\xi_{0})}\cos \big(\frac{\pi x}{2}\big),\quad {and}\quad \varPhi(x) = T^{\xi_{0}}\sin\Big(\frac{ \pi}{2}(x+1)\Big).

    The coefficients of the series expansion of \rho(x) , \nu(x) , and \varPhi(x) for n = 1 are given by

    \rho_{1} = \frac{4\pi\cos\big(\frac{x}{2}\big)}{\pi^{2}-1}, \quad \nu_{1} = \frac{t^{\xi_{0}}}{\Gamma(5+\xi_{0})}, \quad {and} \quad \varPhi_{1} = T^{\xi_{0}}.

    By plugging a_i = 0 for i = 1, 2, 3, ..., m-1 and using (3.3), we obtain

    \begin{equation} f_{1} = \frac{1}{ \mathcal{E}_{\xi_{0}, \xi_{0}+1}(T;\lambda_{1})}\Bigg(T^{\xi_{0}}-\frac{4\pi\cos\big(\frac{x}{2}\big)}{\pi^{2}-1}\mathcal{E}_{\xi_{0}, 1}(T;\lambda_{1})-\frac{t^{\xi_{0}}}{\Gamma(5+\xi_{0})}\mathcal{E}_{\xi_{0}, 2}(T;\lambda_{1})\Bigg). \end{equation} (6.1)

    Equation (3.2) yields the following expressions:

    \begin{align} T_{1}(t) = &\frac{4\pi\cos\big(\frac{x}{2}\big)}{\pi^{2}-1}\mathcal{E}_{\xi_{0}, 1}(T;\lambda_{1})+\frac{t^{\xi_{0}}}{\Gamma(5+\xi_{0})}\mathcal{E}_{\xi_{0}, 2}(T;\lambda_{1})+f_{1} \mathcal{E}_{\xi_{0}, \xi_{0}+1}(T;\lambda_{1}), \end{align} (6.2)

    where f_{1} is given in Eq (6.1). By substituting the previously derived expressions for f_{1} and T_{1}(t) , we obtain the solution to the inverse source problem, namely f(x) and u(x, t) , as follows:

    \begin{eqnarray*} f(x)& = &\frac{\sin\Big(\frac{ \pi}{2}(x+1)\Big)}{ \mathcal{E}_{\xi_{0}, \xi_{0}+1}(T;\lambda_{1})}\Bigg(T^{\xi_{0}}-\frac{4\pi\cos\big(\frac{x}{2}\big)}{\pi^{2}-1}\mathcal{E}_{\xi_{0}, 1}(T;\lambda_{1})-\frac{t^{\xi_{0}}}{\Gamma(5+\xi_{0})}\mathcal{E}_{\xi_{0}, 2}(T;\lambda_{1})\Bigg), \end{eqnarray*}
    \begin{align*} u(x,t) = \ &\Bigg(\frac{4\pi\cos\big(\frac{x}{2}\big)}{\pi^{2}-1}\mathcal{E}_{\xi_{0}, 1}(T;\lambda_{1})+\frac{t^{\xi_{0}}}{\Gamma(5+\xi_{0})}\mathcal{E}_{\xi_{0}, 2}(T;\lambda_{1})+f_{1} \mathcal{E}_{\xi_{0}, \xi_{0}+1}(T;\lambda_{1})\Bigg)\sin\Big(\frac{ \pi}{2}(x+1)\Big). \end{align*}

    Example 2. In this second example, the solution set u(x, t) and f(x) of the ISP-I is obtained by setting a_1 = 1 and a_i = 0 , i = 2, 3, ..., m-1 :

    \begin{align*} f(x) = &\frac{\sin\Big(\frac{ \pi}{2}(x+1)\Big)}{ \mathcal{E}_{(\xi_{0},\xi_{0}-\xi_{1}), \xi_{0}+1}(T;\lambda_{1})}\Bigg(T^{\xi_{0}}-\frac{4\pi\cos\big(\frac{x}{2}\big)}{\pi^{2}-1}\mathcal{E}_{(\xi_{0},\xi_{0}-\xi_{1}), 1}(T;\lambda_{1})-\frac{t^{\xi_{0}}}{\Gamma(5+\xi_{0})}\mathcal{E}_{(\xi_{0},\xi_{0}-\xi_{1}), 2}(T;\lambda_{1})\Bigg), \end{align*}
    \begin{align*} u(x,t) = \ &\Bigg(\frac{4\pi\cos\big(\frac{x}{2}\big)}{\pi^{2}-1}\mathcal{E}_{(\xi_{0},\xi_{0}-\xi_{1}), 1}(T;\lambda_{1})+\frac{t^{\xi_{0}}}{\Gamma(5+\xi_{0})}\mathcal{E}_{(\xi_{0},\xi_{0}-\xi_{1}), 2}(T;\lambda_{1})\nonumber\\+&f_{1} \mathcal{E}_{(\xi_{0},\xi_{0}-\xi_{1}), \xi_{0}+1}(T;\lambda_{1})\Bigg)\sin\Big(\frac{ \pi}{2}(x+1)\Big). \end{align*}

    Example 3. For the specific case of ISP-II, we consider only one fractional derivative in Eq (1.1), where a_{i} = 0 for i = 1, 2, ..., m-1. The function f(x, t) is given by

    f(x,t) = \Big(\frac{\Gamma(3)}{\Gamma(3-\xi_{0})}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) t^{\xi_{0}}\Big)\sin\Big(\frac{ \pi}{2}(x+1)\Big),\qquad n = 1,

    and the initial conditions in (1.3) and (1.4) are set to zero. The over-specified condition is \int_{-1}^{1}u(x, t)dx = \frac{4t^{2}}{\pi}. Using Lemma 5 and Proposition 1, we obtain

    \begin{equation*} u(x,t) = t^{2} \sin\Big(\frac{ \pi}{2}(x+1)\Big). \end{equation*}

    The expression for q(t) given by (5.1) takes the form

    \begin{align*} q(t) = & \left[ \int_{-1}^{1}f(x,t)dx\right]^{-1}\biggl[{}^{C}D_{0_+,t}^{\xi_0}E(t) +\mathcal{T}(t)+ \int_{0}^{t} q(\tau)K(t,\tau)d\tau\bigg], \end{align*}

    where

    \begin{align*} \int_{-1}^{1}f(x,t)dx = \ &\frac{4}{\pi}\Big(\frac{\Gamma(3)}{\Gamma(3-\xi_{0})}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) t^{\xi_{0}}\Big),\\ {}^{C}D_{0_+,t}^{\xi_0}E(t) = \ &\frac{4\Gamma(3)}{\pi\Gamma(3-\xi_{0})}t^{2-\xi_{0}}, \qquad\quad \mathcal{T}(t) = 0,\\ K(t,\tau) = \ &\Big(\frac{\Gamma(3)}{\Gamma(3-\xi_{0})}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) \tau^{\xi_{0}}\Big)\mathcal{E}_{{\xi_{0}},\xi_{0}}(t-\tau;\lambda_{1}). \end{align*}

    In this case, we can find an explicit expression for q(t) given by

    q(t) = t^{2-\xi_0}.

    Example 4. In this example of ISP-II, we take two fractional derivatives in Eq (1.1), where a_{i} = 0 , i = 2, 3, ..., m-1. Consider

    \begin{equation*} {f}(x,t) = \Bigg(\frac{\Gamma(3-\xi_{1})}{\Gamma(3-\xi_{0}-\xi_{1})}+a_{1}\frac{\Gamma(3-\xi_{1})}{\Gamma(3-2\xi_{1})}t^{\xi_{0}-\xi_{1}}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) t^{\xi_{0}}\Bigg)\sin\Big(\frac{\pi}{2}(x+1)\Big). \end{equation*}

    The initial conditions (1.3) and (1.4) are taken to be zero and the over-specified condition is \int_{-1}^{1}u(x, t)dx = \frac{4t^{2-\xi_{1}}}{\pi}. Due to Lemma 5 and Proposition 1, we obtain

    \begin{equation*} {u}(x,t) = t^{2-\xi_{1}} \sin\Big(\frac{\pi}{2}(x+1)\Big). \end{equation*}

    The implicit expression for q(t) has the following form:

    \begin{align*} q(t) = & \left[ \int_{-1}^{1}f(x,t)dx\right]^{-1}\biggl[{}^{C}D_{0_+,t}^{\xi_0}E(t)+a_{1} {}^{C}D_{0_+,t}^{\xi_1}E(t) +\mathcal{T}(t)+ \int_{0}^{t} q(\tau)K(t,\tau)d\tau\bigg], \end{align*}

    where

    \begin{align*} \int_{0}^{1}f(x,t)dx = \ &\frac{4}{\pi}\Bigg(\frac{\Gamma(3-\xi_{1})}{\Gamma(3-\xi_{0}-\xi_{1})}+a_{1}\frac{\Gamma(3-\xi_{1})}{\Gamma(3-2\xi_{1})}t^{\xi_{0}-\xi_{1}}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) t^{\xi_{0}}\Bigg),\\ {}^{C}D_{0_+,t}^{\xi_0}E(t) = \ &\frac{4\Gamma(3-\xi_{1})}{\Gamma(3-\xi_{0}-\xi_{1})}t^{2-\xi_{0}-\xi_{1}},\quad {}^{C}D_{0_+,t}^{\xi_1}E(t) = \frac{4\Gamma(3-\xi_{1})}{\pi \Gamma(3-2\xi_{1})}t^{2-2\xi_{1}}, \quad \mathcal{T}(t) = 0, \end{align*}
    K(t,\tau) = \frac{4}{\pi}\Bigg(\frac{\Gamma(3-\xi_{1})}{\Gamma(3-\xi_{0}-\xi_{1})}+a_{1}\frac{\Gamma(3-\xi_{1})}{\Gamma(3-2\xi_{1})}t^{\xi_{0}-\xi_{1}}+\big(\big({\pi}/{2}\big)^{\eta_1}+\big({\pi}/{2}\big)^{\eta_2}\big) t^{\xi_{0}}\Bigg)\mathcal{E}_{\boldsymbol{\xi},\xi_{1}}(..r..)|_{t = t-\tau}.

    Consequently, we get

    q(t) = t^{3-\xi_{0}-\xi_{1}}.

    In this article, two ISPs for a multi-term space-time fractional differential equation (FDE) incorporating Caputo fractional derivatives with respect to time and a bi-fractional Laplacian operator with respect to space are considered. The series solution for the ISPs is constructed by using the eigenfunction expansion method. First, ISP-Ⅰ is addressed, which determines a space-varying source term from the over-specified condition, i.e., the given data at a specific time T , along with the solution. The series solutions, obtained through the eigenfunction expansion method using an orthonormal set of eigenfunctions of the associated spectral problem, involve multinomial Mittag-Leffler functions. The regularity of the solution is ensured under certain assumptions about the given data and by utilizing results related to multinomial Mittag-Leffler functions. Additionally, the uniqueness and stability of the solution concerning the given data are guaranteed in a similar manner. These ISPs are shown to be ill-posed in the sense of Hadamard. The ISP-Ⅱ is focused on recovering a time-dependent source term from the over-determined condition of integral type, along with the solution. The unique existence of a continuous source term in ISP-Ⅱ is established using the Banach fixed point theorem. Furthermore, the uniqueness of the solution is demonstrated using the completeness of the eigenfunctions.

    The authors gratefully acknowledge the funding of the Deanship of Graduate Studies and Scientific Research, Jazan University, Saudi Arabia, through Project Number: GSSRD-24.

    The author declares that there is no conflict of interest.



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