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Research article

On two backward problems with Dzherbashian-Nersesian operator

  • Received: 30 July 2022 Revised: 24 September 2022 Accepted: 30 September 2022 Published: 12 October 2022
  • MSC : 33E12, 34A08, 65M32, 65N21, 80A23

  • We investigate the initial-boundary value problems for a fourth-order differential equation within the powerful fractional Dzherbashian-Nersesian operator (FDNO). Boundary conditions considered in this manuscript are of the Samarskii-Ionkin type. The solutions obtained here are based on a series expansion using Riesz basis in a space corresponding to a non-self-adjoint spectral problem. Conditional to some regularity, consistency, alongside orthogonality dependence, the existence and uniqueness of the obtained solutions are exhibited by using Fourier method. Acquired results here are more general than those obtained by making use of conventional fractional operators such as fractional Riemann-Liouville derivative (FRLD), fractional Caputo derivative (FCD) and fractional Hilfer derivative (FHD).

    Citation: Anwar Ahmad, Dumitru Baleanu. On two backward problems with Dzherbashian-Nersesian operator[J]. AIMS Mathematics, 2023, 8(1): 887-904. doi: 10.3934/math.2023043

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  • We investigate the initial-boundary value problems for a fourth-order differential equation within the powerful fractional Dzherbashian-Nersesian operator (FDNO). Boundary conditions considered in this manuscript are of the Samarskii-Ionkin type. The solutions obtained here are based on a series expansion using Riesz basis in a space corresponding to a non-self-adjoint spectral problem. Conditional to some regularity, consistency, alongside orthogonality dependence, the existence and uniqueness of the obtained solutions are exhibited by using Fourier method. Acquired results here are more general than those obtained by making use of conventional fractional operators such as fractional Riemann-Liouville derivative (FRLD), fractional Caputo derivative (FCD) and fractional Hilfer derivative (FHD).



    A large number of their applications in real life is the major motivation behind the study of fractional differential equations (FDEs). Many problems dealing with anomalous diffusion [1,2], heat propagation[3,4], bioengineering [5,6], image processing [7], signal processing [8], control theory [9,10], theory of random walks [11,12], etc., cause the study of FDEs. Monographs [13,14,15] may be referred to for profound study of FDEs.

    Finding the generalized fractional operators is an important contemporary topic of the agenda of the researchers from the fractional calculus area. Recently it is shown that working with a general class of fractional operators leads us to interesting results from the mathematical view point. However, from the applied point of view the real data plays a crucial role in identifying which particular fractional operator gives better results for a given model.

    We examine the following fourth-order FDE

    ςm0+,tv(x,t)+vxxxx(x,t)=H(x,t),(x,t)Ω:=[0,1]×(0,T], (1.1)

    with initial conditions,

    ςr0+,tv(x,t)|t=0=ωr(x),r=0,...,m1,x[0,1], (1.2)

    and the nonlocal Samarskii-Ionkin type boundary conditions

    v(0,t)=0=vxx(1,t),vx(0,t)=vx(1,t),vxxx(0,t)=vxxx(1,t),t(0,T]. (1.3)

    Here ςm0+,t, which is defined in Section 2, denotes the FDNO of order ςm such that ςm:=mi=0ζi1>0, where ζi(0,1].

    We introduce σ, with dimension in seconds, as an auxiliary parameter to preserve the physical dimensions of fractional temporal operator (see [16])

    ddt1σ1ς1ς10+,t,0<ς11,

    and

    dmdtm1σmςmςm0+,t,0<ςmm.

    Without any loss of generality, we took σ=1, which gave rise to Eq (1.1).

    The basic objective of this paper is to investigate two backward problems. In the first backward problem, we make the assumption that H(x,t):=h(x), that is, source term depends only on the spatial variable. For the second backward problem, we assume that H(x,t):=a(t)h(x,t), where h(x,t) is known. We are going to determine {v(x,t),h(x)} and {v(x,t),a(t)} in connection with the following overdetermined conditions

    v(x,t)=ψ(x),t<T, (1.4)
    10xv(x,t)=E(t),t(0,T], (1.5)

    respectively.

    Originally presented in 1968 [17], the interesting FDNO has been rarely studied. The motivation of this article arises from the resurgence of FDNO of late. The merit goes to article [18] with English translation of the Russian version of [17] in which the aforementioned operator is introduced. In [19], authors have proved how specific fixing of values of parameters in FDNO leads to the recovery of FRLD, FCD and FHD. Moreover, there are some articles in the literature discussing FDEs involving special case of FDNO [20,21].

    In a forward problem, we solve an equation in a region with specific provided data. On the other hand, problem of recovering an unknown input which could be either certain coefficients, initial conditions, boundary conditions, or some source function from provided output is known as a backward problem. In comparison to the study of forward problems, the backward problems are attracting considerable amount of attention of many researchers. For example, see [22] and references therein.

    Boundary value problems theory for FDEs is one of the most rapidly growing areas of the theory of differential equations. In works [23,24] the backward problem related to a fourth-order FDE subject to the Samarskii-Ionkin type nonlocal boundary conditions are investigated. Over the years there has been a constant interest to the study of backward problems of FDEs usually in Caputo and Hilfer sense. See for instance [24,25,26,27,28].

    There are many applications of backward problems that involve FDEs. For instance, a stable algorithm using mollification techniques is established in Murio et al. [29] for the backward problem of boundary function for time fractional differential equation (TFDE) from a given noisy temperature distribution. In [30], authors have established a technique associated with regularization and proposed the uniqueness of the unknown terms. Li et al. [30] has derived methods for simultaneous recovery of order of nonlocal integrodifferential operator and a spatial component of coefficient of diffusion for a 1D TFDE proposed to solve a backward source problem for a space FDE in 1D space.

    However, backward problems involving FDNO are not researched at a great length. In fact only [19] and [31] investigated backward problems concerning this operator. In our work, nevertheless, we investigate both space dependent and temporal backward problems for a fourth-order FDE with the Samarskii-Ionkin type nonlocal boundary and nonhomogeneous initial conditions.

    A regular solution of Eq (1.1) is v(x,t) defined on a domain Ω is continuous together with terms entering the equation. The regular solution of space dependent backward problems (1.1)–(1.4), we refer to the pair {v(x,t),h(x)} such that tζ1v(.,t)C2(0,1), tζ1ςm0+,tv(x,.)C(0,T] and h(x)C(0,1). At the same time, for the time dependent backward problem i.e., (1.1)–(1.3) together with (1.5), the regular solution corresponds to pair {v(x,t),a(t)} satisfying tζ1v(.,t)C2(0,1), tζ1ςm0+,tv(x,.)C(0,T] and a(t)C[0,T].

    The remaining article is presented as follows. In Section 2, we recall the basic definitions of some fractional operators and Mittag-Leffler function. Furthermore, some properties of FDNO and Mittag-Leffler function are given. Section 3 is dedicated to the study of spectral problem and some useful estimates. Section 4 focuses the major findings concerning the existence and uniqueness of our problems. Section 5 contains the concluding remarks.

    This brief section covers some preliminary definitions, related notions and some useful results.

    Definition 2.1. [13,15] The fractional Riemann-Liouville integral Jα0+,t of order α>0 is defined as

    Jα0+,tg(z):=1Γ(α)z0g(τ)(zτ)1αdτ,α>0,

    where Γ() represents Euler integral of second kind.

    Definition 2.2. [13,15] The left sided FRLD Dα0+,t of order α(p1,p) is defined as

    Dα0+,tg(z):=dpdzpJpα0+,tg(z),R(α)0,p=[R(α)]+1,

    where [R(α)] means the greatest integer in R(α).

    Definition 2.3. [17] FDNO αp0+,t of order αp is defined as

    αp0+,tg(z):=J1βp0+,tDβp10+,tDβp20+,t...Dβ10+,tDβ00+,tg(z),pZ+,t>0, (2.1)

    where αp(0,p) is determined by

    αp=pj=0βj1>0,βj(0,1].

    Remark 2.1. [19] For β1=...=βp=1 and β0=1+αp, where β0(0,1), in Eq (2.1), FDNO interpolates FRLD of order α(p1,p), i.e.,

    αp0+,tg(z)=dpdtpJpα0+,tg(z)=Dα0+,tg(z).

    Remark 2.2. [19] For β0=...=βp1=1 and βp=1+αp, where βp(0,1), in Eq (2.1), FDNO operator redcues to FCD of order α(p1,p), i.e.,

    αp0+,tg(z)=Jpα0+,tdpdtpg(z)=:cDα0+,tg(z).

    Remark 2.3. [19] βp=1β(pα), β0=1(pα)(1β), where β0,βp(0,1) and βp1=...=β1=1, in Eq (2.1), FDNO interploates another famous FHD of order α(p1,p) and type β[0,1], i.e.,

    αp0+,tg(z)=Jβ(pα)0+,tdpdtpJ(pα)(1β)0+,tg(z)=:HDα,β0+,tg(z).

    Lemma 2.1. [19] Laplace transfom of FDNO represented by (2.1) having order αp(0,p) is given as

    L{αp0+,tg(z)}=sαpL{g(z)}pk=1sαpαpk1αpk0+,tg(z)|z=0.

    Lemma 2.2. [19] Let gi denote sequence containing functions with domain (0,b] for each iZ+, in such a way that the following conditions are satisfied:

    (1) fractional derivatives Dβ00+,tgi(z), Dβ10+,tDβ00+,tgi(z), ..., Dβp10+,t...Dβ00+,tgi(z) for pZ+,t(0,b] exist,

    (2) series represented by i=1gi(z) and i=1Dβ00+,tgi(z), i=1Dβ10+,tDζ00+,tgi(z), ...,

    i=1Dβp10+,t...Dβ10+,tDβ00+,tgi(z) exhibit uniform convergence on the interval [ϵ,b] for arbitrary ϵ>0.

    Then

    αp0+,ti=1gi(z)=i=1αp0+,tgi(z).

    Definition 2.4. [32] The classical Mittag-Leffler function (MLF) that was introduced by Magnus Gösta Mittag-Leffler is defined as

    Eα(z):=k=0zkΓ(αk+1),Re(α)>0,zC.

    The generalization of (2.4) was given by Wiman in [33] as follows

    Eα,β(z):=k=0zkΓ(αk+β),Re(α),Re(β)>0,zC.

    In addition, the Mittag-Leffler type function (MLFT) is defined as

    eα,β(t;λ):=tβ1Eα,β(λtα),Re(α),Re(β),t,λ>0.

    Lemma 2.3. [34] If α<2, βR, μ is such that πα/2<μ<min{π,πα}, zC such that |z|0, μ|arg(z)|π and C1 is a real constant, then

    |Eα,β(z)|C11+|z|.

    Lemma 2.4. [26] For g(t)C[0,T], we have

    |g(t)eα,α(t;λ)|C1λgt,α,t,λ>0,

    where .t denotes the Chebyshev norm and

    gt:=max0tT|g(t)|.

    Lemma 2.5. [25] The following condition is fulfilled for the MLFT eα,α+1(t;λ)

    eα,α+1(t;λ)=1λ(1eα,1(t; λ)),t,λ>0.

    Lemma 2.6. [25] The MLFT eα,1(T;λ) has the following property for α(0,1)

    11eα,1(T;λ)C2,T,λ>0,

    where C2 is a positive constant.

    In the section, a bi-orthogonal system of functions (BOSFs) comprising of eigenfunctions related to spectral problem of (1.1) and (1.3) and its adjoint problem is constructed. Some estimates which are useful in proofs of our main results are also given. However, at the first consideration, we will study the BOSFs.

    The spectral problem for (1.1) and (1.3) given below

    {W(iv)(x)=λW(x),x(0,1),W(0)=0=W(1),W(0)=W(1),W(0)=W(1), (3.1)

    is non-self adjoint (see [23]). The eigenfunctions {W0,W1k} for (3.1) corresponding to eigenvalues λ0=0 and λk=(2πk)4 and associated eigenfunction W2k (see [35]) are

    W0(x)=2x,W2k1(x)=2sin2πkx,W2k(x)=e2πkxe2πk(1x)e2πk1+cos2πkx,kZ+. (3.2)

    The adjoint problem for (3.1) is as follows

    {V(iv)(x)=λV(x),x(0,1),V(0)=V(1),V(0)=V(1),V(0)=V(1)=0. (3.3)

    The eigenfunctions {V0,V1k} for (3.1) corresponding to eigenvalues λ0=0 and λk=(2πk)4 and associated eigenfunction V2k (see [35]) are

    V0(x)=1,V2k1(x)=e2πkx+e2πk(1x)e2πk1+sin2πkx,V2k(x)=2cos2πkx,kZ+. (3.4)

    The systems of functions given by (3.2) and (3.4) form a BOSFs with respect to the one-to-one correspondence as follows [23],

    {W0(x),W2k1(x),W2k(x)},{V0(x),V2k1(x),V2k(x)}.

    Lemma 3.1. [23] The sets of functions {Wi(x):iZ+0} and {Vi(x):iZ+0}, represented by (3.2) and (3.4) respectively constitute Riesz basis for L2(0,1).

    Lemma 3.2. [23] Let gL2(0,1) and

    ak=g(x),eμk(x1),bk=g(x),eμkx,

    where μC such that Reμ>0 and .,. is defined as f,g:=10h(x)g(x)dx.

    Then the series,

    k=1|ak|2,k=1|bk|2,

    are convergent.

    Lemma 3.3. Let gL2(0,1) and gk=g(x),e2πkxe2πk(1x)e2πk1, then k=1|gk|2 converges.

    Proof. Consider gk=g(x),e2πkxe2πk(1x)e2πk1

    |g(x),e2πkxe2πk(1x)e2πk1|2=|g(x),e2πkxe2πk1+g(x),e2πk(1x)e2πk1|2.

    Taking into the account inequality (a+b)22(a2+b2), we may write

    k=1|g(x),e2πkxe2πk(1x)e2πk1|22k=1|g(x),e2πkxe2πk1|2+2k=1|g(x),e2πk(1x)e2πk1|2=I1+I2. (3.5)

    Consider I1, since

    g(x),e2πkxe2πk12=g(x),e2πke2πk1e2πk(x1)2,=g(x),(1+1e2πk1)e2πk(x1)2,4g(x),e2πk(x1)2.

    Hence

    I18k=1g(x),e2πk(x1)2=8k=1b2k,wherebk=g(x),e2πk(x1). (3.6)

    Similarly, we have

    I28k=1a2k,whereak=g(x),e2πkx. (3.7)

    In the view of Lemma 3.2 and (3.5)–(3.7), we have the required result.

    Lemma 3.4. Let g(x)C2(0,1) satisfying g(0)=0 and g(0)=g(1). Then the following condition holds:

    |gk|1k2gx,kZ+.

    Here .x represents norm in L2(0,1) and is defined by gx:=g,g.

    Proof. We will prove that g2k1 satisfies the desired relation. The proof of the relation for g2k will follow the same lines.

    Consider g2k1=g(x),V2k1(x),

    g2k1=g(x),(e2πkx+e2πk(1x)e2πk1+sin2πkx).

    Integration by part gives

    g2k1=2g(0)2πk12πkg(x),(e2πkxe2πk(1x)e2πk1cos2πkx).

    Using the condition g(0)=0 and integration by parts again yields

    g2k1=g(0)g(1)(2πk)2(e2πk+1e2πk1)+1(2πk)2g(x),(e2πkx+e2πk(1x)e2πk1sin2πkx).

    With the aid of the condition g(0)=g(1) and Cauchy-Bunyakovsky-Schwarz Inequality (CBSI), we have

    |g2k1|1(2πk)2gx.

    Lemma 3.5. Let g(x)C5(0,1) satisfying g(0)=0, g(0)=g(1), g(1)=0=g(iv)(0) and g(0)=g(1). Then the following hold:

    |g2k1|1(2πk)5|g(v)(x),e2πkxe2πk(1x)e2πk1cos2πkx|,|g2k|1(2πk)5|g(v)(x),2sin2πkx|.

    Proof. The lemma can be proved in the similar manner as Lemma 3.4.

    This section focuses on the key findings of our paper. We develop results concerning the existence and uniqueness of the solutions of backward source problems (1.1)–(1.4) and (1.1)–(1.3) together with (1.5).

    In this subsection, we will investigate the backward source problem depending on space (1.1)–(1.4). Solution is represented as infinite series in the form of MLFTs. Under certain conditions related to consistency and regularity on the provided datum, we will prove the existence and uniqueness of the solution of the backward problems (1.1)–(1.4) by using the Weierstrass M-test.

    Theorem 4.1. For ςm(0,1), and

    (1) ω(x)C2(0,1) satisfying ω(0)=0, ω(0)=ω(1),

    (2) ψ(x)C5(0,1) satisfying ψ(0)=0, ψ(0)=ψ(1), ψ(1)=0=ψ(iv)(0), ψ(0)=ψ(1),

    the backward problems (1.1)–(1.4) possess a unique regular solution.

    Proof. At first we build the solution for backward problems (1.1)–(1.4) and then in next steps we will prove its existence and uniqueness.

    Due to the reason that the set {Wi(x):iZ+{0}} forms the Riesz basis for the space L2(0,1) (see Lemma 3.1), we can expand v(x,t) and h(x) as follows

    v(x,t)=v0(t)W0(x)+k=1(v2k1(t)W2k1(x)+v2k(t)W2k(x)), (4.1)
    h(x)=h0W0(x)+k=1(h2k1W2k1(x)+h2kW2k(x)). (4.2)

    Substituting Eqs (4.1) and (4.2) in Eq (1.1) and using the fact that the sets {Wi(x):iZ+{0}} and {Vi(x):iZ+{0}} establish a BOSFs for the space L2(0,1), the following system of FDEs is obtained

    ςm0+,tv0(t)=h0, (4.3)
    ςm0+,tv2k1(t)+λkv2k1(t)=h2k1, (4.4)
    ςm0+,tv2k(t)+λkv2k(t)=h2k, (4.5)

    where v0(t),v2k1(t),v2k(t),h0,h2k1, and h2k are unknowns to be determined.

    Using Lemma 2.1 in Eqs (4.3)–(4.5), we have

    v0(t)=ω0tζ01Γ(ζ0)+h0tζ0+ζ11Γ(ζ0+ζ1), (4.6)
    v2k1(t)=ω2k1eζ0+ζ11,ζ0(t;λk)+h2k1eζ0+ζ11,ζ0+ζ1(t;λk), (4.7)
    v2k(t)=ω2keζ0+ζ11,ζ0(t;λk)+h2keζ0+ζ11,ζ0+ζ1(t;λk), (4.8)

    where ωi:=ω(x),Vi(x),iZ+{0}.

    Using the overdetermined condition (1.4), we obtain

    h0=Γ(ζ0+ζ1)Tζ0+ζ11(ψ0ω0Tζ01Γ(ζ0)), (4.9)
    h2k1=ψ2k1ω2k1eζ0+ζ11,ζ0(T;λk)eζ0+ζ11,ζ0+ζ1(T;λk), (4.10)
    h2k=ψ2kω2keζ0+ζ11,ζ0(T;λk)eζ0+ζ11,ζ0+ζ1(T;λk), (4.11)

    where ψi:=ψ(x),Vi(x),iZ+{0}.

    Using (4.6)–(4.11) in Eq (4.1), we have

    v(x,t)=(ω0tζ01Γ(ζ0)+tζ0+ζ11Tζ0+ζ11(ψ0ω0Tζ01Γ(ζ0)))2x+k=1(ω2k1eζ0+ζ11,ζ0(t;λk)+eζ0+ζ11,ζ0+ζ1(t;λk)eζ0+ζ11,ζ0+ζ1(T;λk)(ψ2k1ω2k1eζ0+ζ11,ζ0(T;λk)))2sin2πkx+k=1(ω2keζ0+ζ11,ζ0(t;λk)+eζ0+ζ11,ζ0+ζ1(t;λk)eζ0+ζ11,ζ0+ζ1(T;λk)(ψ2kω2keζ0+ζ11,ζ0(T;λk)))(e2πkxe2πk(1x)e2πk1+cos2πkx). (4.12)

    Using (4.9)–(4.11) in (4.2), we obtain

    h(x)=(Γ(ζ0+ζ1)Tζ0+ζ11(ψ0ω0Tζ01Γ(ζ0)))2x+k=1(ψ2k1ω2k1eζ0+ζ11,ζ0(T;λk)eζ0+ζ11,ζ0+ζ1(T;λk))2sin2πkx+k=1(ψ2kω2keζ0+ζ11,ζ0(T;λk)eζ0+ζ11,ζ0+ζ1(T;λk))(e2πkxe2πk(1x)e2πk1+cos2πkx). (4.13)

    With a focus to prove that the solution exists and is regular, we demonstrate that tζ1v(x,t), tζ1vxxxx(x,t), tζ1ςm0+,tv(x,t), and h(x) represent continuous functions.

    On using Eq (4.9), the CBSI and the fact that |V0(x)|=1, we have

    |h0|Γ(ζ0+ζ1)Tζ0+ζ11(Tζ01Γ(ζ0)ωx+ψx). (4.14)

    Making use of the Lemmas 2.3, 2.5, 2.6 and Eq (4.10), we obtain

    |h2k1|C1C2Tζ1|ω2k1|+C2λk|ψ2k1|. (4.15)

    Using Lemmas 3.4 and 3.5, we get

    |h2k1|C1C2(2πk)2Tζ1ωx+C2λk|1(2πk)5ψ(v)(x),e2πkxe2πk(1x)e2πk1cos2πkx|.

    Using the fact that aba2+b2, we have

    |h2k1|C1C2k2Tζ1ωx+C2(1(2πk)2+|ψ(v)(x),e2πkxe2πk(1x)e2πk1|2)+C2(1(2πk)2+12|ψ(v)(x),2cos2πkx|2).

    In the view of Lemma 3.3, there exists some finite C3>0. Thus we can write

    |h2k1|C1C2k2Tζ1|ω|x+C2(1(2πk)2+C3)+C2(1(2πk)2+12|ψ(v)(x),2cos2πkx|2).

    Since {2cos2πkx}k=1 forms an orthonormal basis for L2(0,1), therefore, by using Bessel's inequality, we have

    k=1|h2k1|k=1C1C2k2Tζ1ωx+k=1C2k2+C2C3+C2ψ(v)2x. (4.16)

    Likewise, from (4.11), we obtain

    k=1|h2k|k=1C1C2k2Tζ1ωx+k=1C2k2+C2ψ(v)2x. (4.17)

    By means of Eqs (4.2), (4.14), (4.16) and (4.17), sum of the series majorizing h(x) converges. Therefore, with the aid of Weierstrass M-test, h(x) exhibits a continuous function.

    By CBSI, (4.14) and the fact that |V0(x)|=1, we get

    tζ1|v0(t)|tζ0+ζ11Γ(ζ0)ωx+tζ0+ζ11Γ(ζ0)ωx+tζ0+ζ11Tζ01ψx. (4.18)

    On using Lemma 2.3, Eqs (4.7) and (4.15), we have

    |v2k1(t)|C1λktζ1|ω2k1|+C21C2λkTζ1|ω2k1|+C1C2|ψ2k1|.

    Using Lemma 3.4, CBSI and the fract 1λk1k4, we have

    tζ1k=1|v2k1(t)|k=1C1k4ωx+k=1C21C2k4ωx+k=1C1C2tζ1k2ψx. (4.19)

    Similarly,

    tζ1k=1|v2k(t)|k=1C1k4ωx+k=1C21C2k4ωx+k=1C1C2tζ1k2ψx. (4.20)

    On using Eqs (4.1), (4.18)–(4.20), Lemma 3.3 and the fact |Wk(x)|2 for kN, we see that tζ1v(x,t) is bounded above by a convergent sequence and thus is a continuous function.

    Similarly for vxxxx(x,t), we have

    tζ1|vxxxx(x,t)|k=14C1k2ωx+k=14C21C2k2ωx+k=14C1C2tζ1k2+2C1C3tζ1+4C1tζ1ψ(v)2x,

    which on using Weierstrass M-test converges.

    In order to establish the continuity of ςm0+,tv(x,t), according to the Lemma 2.2, we first need the series representations of v(x,t) and Dζ00+,tv(x,t) to be uniformly convergent. In view of (4.18)–(4.20), v(x,t) is already continuous. Therefore, we only need to show the contiuity of Dζ00+,tv(x,t).

    On using the Lemma 15.2 of [13], Lemmas 2.3, 2.5, 2.6, 3.4, 3.5 and the CBSI, we have

    t|Dζ00+,tv(x,t)|2tζ0Γ(ζ0)ωx+2Tζ0Γ(ζ0)ωx+2tψx+4C2tψ(v)2x+k=1(4C1k2ωx+4C21C2k2ωx+4C1C2tk2+2C2C3tk2). (4.21)

    Obviously, Dζ00+,tv(x,t) is majorized by series which are convergent and therefore it corresponds to a continuous function.

    Moreover, from Eqs (4.3)–(4.5), we have the following estimates

    tζ1|ςm0+,tv0(t)|Γ(ζ0+ζ1)Γ(ζ0)ωx+Γ(ζ0+ζ1)Tζ01ψx, (4.22)
    tζ1|k=1ςm0+,tv2k1(t)|k=1C1k2ωx+(1+C1)(k=1C1C2k2Tζ1ωx+k=1C2k2+C2C3))+(1+C1)C2ψ(v)2x, (4.23)
    \begin{align} t^{\zeta_{1}}\big|\sum\limits_{k = 1}^{\infty}\partial^{\varsigma_{m}}_{0_+, t}v_{2k}(t)\big|\leq &\sum\limits_{k = 1}^{\infty}\frac{C_{1}}{k^{2}}\|\omega''\|_{x}+{(1+C_{1})}\Big(\sum\limits_{k = 1}^{\infty}\frac{C_{1}C_{2}}{k^{2}T^{\zeta_{1}}}\|\omega''\|_{x} \\ &+\sum\limits_{k = 1}^{\infty}\frac{C_{2}}{k^{2}}\Big)+(1+C_{1})C_{2}\|\psi^{(v)}\|^{2}_{x}. \end{align} (4.24)

    By the virtue of Lemma 2.2, i.e., \partial^{\varsigma_{m}}_{0+, t} \sum_{k = i}^{\infty}g_{i}(t) = \sum_{k = i}^{\infty}\partial^{\varsigma_{m}}_{0+, t}g_{i}(t) , Lemma 3.3 and (4.22)–(4.24), we notice that t^{\zeta_{1}}\partial^{\varsigma_{m}}_{0_+, t}v(x, t) is continuous.

    Uniqueness. Uniqueness of the pair \{u(x, t), h(x)\} can be achieved by supposing two different solutions of the system (1.1)–(1.4) and along the same lines as in Theorem 4.1 of [36].

    Remark. By plugging \zeta_{0} = 1-(1-\alpha)(1-\beta) and \zeta_{1} = 1-\beta(1-\alpha) , where \zeta_{0}, \zeta_{1} \in (0, 1) , into Eqs (4.12) and (4.13), results for space dependent backward source problem of Aziz et al. [24] are recovered.

    This subsection is devoted to the study of backward source problem (1.1)–(1.3) together with integral overdetermined condition (1.5). Existence and uniqueness of solution, which like that in space dependent backward sorce problem, is represented as infinite series in the form of MLFTs, is proved using M-test proposed by Weierstrass along with fixed point theorem named after under specific consistency and regularity conditions on the provided datum.

    Theorem 4.2. For \varsigma_{m} \in (0, 1) , and

    (1) \omega(x)\in C^2(0, 1) satisfying \omega(0) = 0 , \omega'(0) = \omega'(1) .

    (2) h(\cdot, t)\in C^2(0, 1) satisfying h(0, t) = 0 , h_x(0, t) = h_x(1, t) . Furthermore

    0 < \frac{1}{M_{1}}\leq \Big|\int_0^1 xh(x, t)\, dx\Big|, \quad\mathit{{where}} M_{1} > 0,

    then the backward problem (1.1)–(1.3) with the condition (1.5) has a unique regular solution.

    Proof. We construct the solution of backward source problem (1.1)–(1.3) alongside integral overdetermined condition (1.5) and afterwards we demonstrate that the solution exists and is unique.

    Due to the reason that the set \{W_{i}(x): i\in \mathbb{Z^{+}}\cup \{0\} forms the Riesz basis for the space L^{2}(0, 1) (see Lemma 3.1), we can expand v(x, t) and h(x, t) as follows

    \begin{align} v(x, t)& = v_{0}(t)W_{0}(x)+\sum\limits_{k = 1}^{\infty}\Big(v_{2k-1}(t)W_{2k-1}(x)+v_{2k}(t)W_{2k}(x)\Big), \end{align} (4.25)
    \begin{align} h(x, t)& = h_{0}(t)W_{0}(x)+\sum\limits_{k = 1}^{\infty}\Big(h_{2k-1}(t) W_{2k-1}(x)+h_{2k}(t)W_{2k}(x)\Big). \end{align} (4.26)

    Substituting Eqs (4.25) and (4.26) in Eq (1.1) and due to the reason that the sets \{W_{i}(x): i\in \mathbb{Z^{+}}\cup \{0\} and \{V_{i}(x): i\in \mathbb{Z^{+}}\cup\{0\}\} constitute a BOSFs for the space L^{2}(0, 1) , the following system of FDEs is obtained

    \begin{align} \partial^{\varsigma_{m}}_{0_+, t}v_{0}(t)& = a(t)h_{0}(t), \end{align} (4.27)
    \begin{align} \partial^{\varsigma_{m}}_{0_+, t}v_{2k-1}(t)+\lambda_{k}v_{2k-1}(t) & = a(t)h_{2k-1}(t), \end{align} (4.28)
    \begin{align} \partial^{\varsigma_{m}}_{0_+, t}v_{2k}(t)+\lambda_{k}v_{2k}(t) & = a(t)h_{2k}(t). \end{align} (4.29)

    Using Lemma 2.1 in Eqs (4.27)–(4.29), we get

    \begin{align} v_{0}(t)& = \frac{t^{\zeta_{0}-1}}{\Gamma(\zeta_{0})}\omega_{0}+\frac{t^{\zeta_{0}+\zeta_{1}-2}}{\Gamma(\zeta_{0}+\zeta_{1}-1)}*a(t)h_{0}(t), \end{align} (4.30)
    \begin{align} v_{2k-1}(t)& = e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}}(t;\lambda_{k})\omega_{2k-1}+e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}+\zeta_{1}-1}(t;\lambda_{k})*a(t)h_{2k-1}(t), \end{align} (4.31)
    \begin{align} v_{2k}(t)& = e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}}(t;\lambda_{k})\omega_{2k}+e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}+\zeta_{1}-1}(t;\lambda_{k})*a(t)h_{2k}(t), \end{align} (4.32)

    where * denotes the Laplace convolution.

    Using (4.30)–(4.32) in (4.25), we obtain

    \begin{align} v(x, t) = &\Big( \frac{t^{\zeta_{0}-1}}{\Gamma(\zeta_{0})}\omega_{0}+\frac{t^{\zeta_{0}+\zeta_{1}-2}}{\Gamma(\zeta_{0}+\zeta_{1}-1)}*a(t)h_{0}(t)\Big)2x\\ &+\sum\limits_{k = 1}^{\infty}\Big( e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}}(t;\lambda_{k})\omega_{2k-1}\\ &+e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}+\zeta_{1}-1}(t;\lambda_{k})*a(t)h_{2k-1}(t)\Big)2\sin 2\pi k x\\ &+\sum\limits_{k = 1}^{\infty}\Big( e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}}(t;\lambda_{k})\omega_{2k}+e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}+\zeta_{1}-1}(t;\lambda_{k})*a(t)h_{2k}(t)\Big)\\ &\Big(\frac{e^{2\pi k x}-e^{2\pi k(1-x)}}{e^{2\pi k}-1}+\cos 2\pi kx\Big). \end{align} (4.33)

    Using (1.5) and Eq (1.1) results in the following Volterra integral equation

    \begin{align} a(t) = \Big(\int_{0}^{1}xh(x, t)dx \Big)^{-1}\Big(\partial^{\varsigma_{m}}_{0+, t}\mathcal{E}(t)+\Lambda(t)+\int_{0}^{t}\Upsilon(t, \tau)a(\tau)d\tau\Big), \end{align} (4.34)

    where

    \begin{align*} \Lambda(t) = &\sum\limits_{k = 1}^{\infty}\lambda_{k}\;e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}}(t;\lambda_{k})\Big(-\frac{1}{\pi k}\omega_{2k-1}+\Big(-\frac{1}{2\pi^{2} k^{2}}+\frac{e^{2\pi k}+1}{2\pi k (e^{2\pi k}-1)}\Big)\omega_{2k}\Big), \\ \Upsilon(t, \tau) = &\sum\limits_{k = 1}^{\infty}\lambda_{k}\;e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}+\zeta_{1}-1}(t-\tau;\lambda_{k})\notag\Big(-\frac{1}{\pi k}h_{2k-1}(\tau)+\Big(-\frac{1}{2\pi^{2} k^{2}}+\frac{e^{2\pi k}+1}{2\pi k (e^{2\pi k}-1)}\Big)h_{2k}(\tau)\Big). \end{align*}

    We introduce \wp(a(t)): = a(t) , where

    \begin{align*} \wp(a(t)) = \Big(\int_{0}^{1}xh(x, t)dx \Big)^{-1}\Big(\partial^{\varsigma_{m}}_{0+, t}\mathcal{E}(t)+\Lambda(t)+\int_{0}^{t}\Upsilon(t, \tau)a(\tau)d\tau\Big). \end{align*}

    We aim to show that \wp:C([0, T])\rightarrow C([0, T]) is a contraction map. In the first place, we will show that \wp(a(t))\in C([0, T]) for a(t)\in C([0, T]) , i.e., the series involved in \Lambda(t) and \Upsilon(t, \tau) exhibit the uniform convergence.

    Consider

    \begin{align*} |\Lambda(t)| = &\Big|\sum\limits_{k = 1}^{\infty}\lambda_{k}\;e_{\zeta_{0}+\zeta_{1}-1, \zeta_{0}}(t;\lambda_{k})\notag\Big(-\frac{1}{\pi k}\omega_{2k-1}+\Big(-\frac{1}{2\pi^{2} k^{2}}+\frac{e^{2\pi k}+1}{2\pi k (e^{2\pi k}-1)}\Big)\omega_{2k}\Big)\Big|. \end{align*}

    Using Lemma 2.3 and triangular inequality, we have

    \begin{align*} |\Lambda(t)|&\leq \sum\limits_{k = 1}^{\infty}\bigg(\frac{{C_{1}}}{\pi kt^{\zeta_{1}}}|\omega_{2k-1}|+\Big(\frac{1}{2\pi^{2} k^{2}}+\frac{1}{\pi k }\Big)\frac{C_{1}}{t^{\zeta_{1}}}|\omega_{2k}|\bigg). \end{align*}

    Using Lemma 3.4, we have

    \begin{align} t^{\zeta_{1}}|\Lambda(t)|\leq \sum\limits_{k = 1}^{\infty}\bigg(\frac{2C_{1}}{k^{3}}\|\omega''\|_{x}+\frac{C_{1}}{k^{2}}\|\omega\|_{x}\bigg). \end{align} (4.35)

    Similarly,

    \begin{align} (t-\tau)|\Upsilon(t, \tau)|\leq \sum\limits_{k = 1}^{\infty}\bigg(\frac{2C_{1}}{k^{3}}\|h_{xx}(x, t)\|_{x, t}+\frac{C_{1}}{k^{2}}\|h(x, t)\|_{t}\bigg). \end{align} (4.36)

    With aid of the M-Test proposed by Weierstrass, the series in (4.35) and (4.36) are convergent. Therefore, we have \wp(a(t))\in C([0, T]) for a(t)\in C([0, T]) . Therefore,

    \begin{align} \|\Upsilon(t, \tau)\|_{t \times t}\leq K, \quad K > 0. \end{align} (4.37)

    Now,

    \begin{align*} |\wp(a)-\wp(b)| \leq \Big(\int_{0}^{1}xh(x, t)dx \Big)^{-1} \int_{0}^{t}|a(\tau)-b(\tau)|\;|\Upsilon(t, \tau)|d\tau, \end{align*}

    on the basis of inequality (4.37), we have

    \begin{align*} |\wp(a)-\wp(b)| \leq TKM_{1}\max\limits_{0 \leq t \leq T}|a(\tau)-b(\tau)|. \end{align*}

    Accordingly, we have

    \begin{align*} \|\wp(a)-\wp(b)\|_{t} \leq TKM_{1}\|a-b\|_{t}. \end{align*}

    Making use of the fixed-point theorem, we see that \wp(\centerdot) is a contraction for T < 1/KM_{1} . This guarantees that a(\centerdot)\in C([0, T]) is uniquely determined.

    In order to demonstrate that the solution of backward source problems (1.1)–(1.3) with integral overdetermined data (1.5) exists, we need demonstrate that the series representations of a(t) , t^{\zeta_{1}}v(x, t) , t^{\zeta_{1}}v_{xxxx}(x, t) and t^{\zeta_{1}}\partial^{\varsigma_{m}}_{0_+, t}v(x, t) are continuous functions. Since a(t) already being proved to be continuous using Banach fixed point theorem, therefore, we only need to prove that the rest of the series represent continuous functions.

    As a(t)\in C([0, T]) , we can find M_{2} such that |a(t)|\leq M_{2} . Therefore, by the virtue of Lemmas 2.3, 3.4, 3.5, CBSI and the fact \frac{1}{\lambda_{k}}\leq \frac{1}{k^{4}} , estimates for t^{\zeta_{1}}v(x, t) , t^{\zeta_{1}}v_{xxxx}(x, t) , t^{\zeta_{1}}\partial^{\varsigma_{m}}_{0_+, t}v(x, t) are as under

    \begin{align*} t^{\zeta_{1}}|v(x, t)|\leq& \frac{2t^{\zeta_{0}+\zeta_{1}-1}}{\Gamma(\zeta_{0})}\|\omega\|_{x}+\frac{2M_{2}t^{\zeta_{0}+2\zeta_{1}-1}}{\Gamma(\zeta_{0}+\zeta_{1})}\|h(x, t)\|_{x, t}\notag\\ &+\sum\limits_{k = 1}^{\infty}\Big(\frac{4C_{1}}{k^{4}}\|\omega\|_{x}+\frac{4C_{1}M_{2}t^{\zeta_{1}}}{k^{4}}\|h(x, t)\|_{x, t}\Big), \\ t^{\zeta_{1}}|v_{xxxx}(x, t)|\leq&\sum\limits_{k = 1}^{\infty}\Big(\frac{4C_{1}}{k^{2}}\|\omega''\|_{x}+\frac{4C_{1}M_{2}t^{\zeta_{1}}}{k^{2}}\|h_{xx}(x, t)\|_{x, t}\Big), \\ t^{\zeta_{1}}|\partial^{\varsigma_{m}}_{0_+, t}v(x, t)|\leq & 2M_{2}t^{\zeta_{1}} \|h(x, t)\|_{x, t}+\sum\limits_{k = 1}^{\infty}\Big(\frac{4C_{1}}{k^{2}}\|\omega''\|_{x}\\ &+\frac{4(1+C_{1})M_{2}t^{\zeta_{1}}}{k^{2}}\|h_{xx}(x, t)\|_{x, t}\Big), \end{align*}

    respectively, which on using Weierstrass M-test represent the continuous functions.

    Uniqueness. It has been already proved that the source term a(t) is unique through the use of fixed-point theorem. The uniqueness of u(x, t) of the system can be achieved in the same way as in Ali et al. [27].

    Remark. The results for time dependent backward source problem of Aziz et al. [24] can be recovered by substituting \zeta_{0} = 1-(1-\alpha)(1-\beta) and \zeta_{1} = 1-\beta(1-\alpha) , where \zeta_{0}, \zeta_{1} \in (0, 1) , in Eqs (4.33) and (4.34).

    Samarskii-Ionkin type problems for a fourth-order FDE involving FDNO have been examined. Backward problems of recovering source terms depending on space and time dependent from final temperature distribution and integral type overdetermination datum respectively, have been the highlights of the paper. Solutions of both the backward source problems are expressed as infinite series in the form of MLFTs. Under certain conditions of consistency and regularity on the given data, existence and uniqueness of the backward source problems are demonstrated by using Laplace transform method, methods of the theory of integral equations and spectral method. Furthermore the general results of this paper contains as a particular case the ones from Aziz et al. [24] related to Hilfer operator.

    The authors declare no conflict of interest.



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    8. Marina Plekhanova, Elizaveta Izhberdeeva, Darya Melekhina, Angelina Sagimbaeva, GLOBAL SOLVABILITY OF NONLINEAR INVERSE PROBLEMS WITH DZHRBASHYAN–NERSESYAN DERIVATIVES AND SECTORIAL OPERATORS, 2025, 1072-3374, 10.1007/s10958-025-07570-1
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