Processing math: 95%
Research article

Identification of Source Terms in a Coupled Age-structured Population Model with Discontinuous Diffusion Coefficients

  • Received: 20 August 2016 Accepted: 17 December 2016 Published: 17 January 2017
  • This article concerns the inverse problem of the coupled age-structured population dynamics system with discontinuous diffusion coefficients. The internal observations with two measurements are allowed to obtain the stability result for the inverse problem consisting of simultaneously retrieving two space dependent source terms in the given parabolic system. The proof of the result relies on Carleman estimates and certain energy estimates for parabolic system.

    Citation: Varadharaj Dinakar, Natesan Barani Balan, Krishnan Balachandran. Identification of Source Terms in a Coupled Age-structured Population Model with Discontinuous Diffusion Coefficients[J]. AIMS Mathematics, 2017, 2(1): 81-95. doi: 10.3934/Math.2017.1.81

    Related Papers:

    [1] Yue Liu, Liming Chen, Liangting Lv, Pierre Failler . The impact of population aging on economic growth: a case study on China. AIMS Mathematics, 2023, 8(5): 10468-10485. doi: 10.3934/math.2023531
    [2] Jairo A. Angel, Francisco M.M. Rocha, Jorge I. Vélez, Julio M. Singer . A new test for detecting specification errors in Gaussian linear mixed-effects models. AIMS Mathematics, 2024, 9(11): 30710-30727. doi: 10.3934/math.20241483
    [3] Özlem Kaytmaz . The problem of determining source term in a kinetic equation in an unbounded domain. AIMS Mathematics, 2024, 9(4): 9184-9194. doi: 10.3934/math.2024447
    [4] Arivazhagan Anbu, Sakthivel Kumarasamy, Barani Balan Natesan . Lipschitz stability of an inverse problem for the Kawahara equation with damping. AIMS Mathematics, 2020, 5(5): 4529-4545. doi: 10.3934/math.2020291
    [5] M. Chandru, T. Prabha, V. Shanthi, H. Ramos . An almost second order uniformly convergent method for a two-parameter singularly perturbed problem with a discontinuous convection coefficient and source term. AIMS Mathematics, 2024, 9(9): 24998-25027. doi: 10.3934/math.20241219
    [6] Xiao-Long Gao, Hao-Lu Zhang, Xiao-Yu Li . Research on pattern dynamics of a class of predator-prey model with interval biological coefficients for capture. AIMS Mathematics, 2024, 9(7): 18506-18527. doi: 10.3934/math.2024901
    [7] Eminugroho Ratna Sari, Lina Aryati, Fajar Adi-Kusumo . An age-structured SIPC model of cervical cancer with immunotherapy. AIMS Mathematics, 2024, 9(6): 14075-14105. doi: 10.3934/math.2024685
    [8] Berhail Amel, Rezzoug Imad . Identification of the source term in Navier-Stokes system with incomplete data. AIMS Mathematics, 2019, 4(3): 516-526. doi: 10.3934/math.2019.3.516
    [9] Asaf Khan, Gul Zaman, Roman Ullah, Nawazish Naveed . Optimal control strategies for a heroin epidemic model with age-dependent susceptibility and recovery-age. AIMS Mathematics, 2021, 6(2): 1377-1394. doi: 10.3934/math.2021086
    [10] Aida Villalba, Luis E. Vila, Jose Miguel Carot . Analyzing patterns of accessibility to schools: A gravitational metrics study in València. AIMS Mathematics, 2025, 10(1): 809-825. doi: 10.3934/math.2025038
  • This article concerns the inverse problem of the coupled age-structured population dynamics system with discontinuous diffusion coefficients. The internal observations with two measurements are allowed to obtain the stability result for the inverse problem consisting of simultaneously retrieving two space dependent source terms in the given parabolic system. The proof of the result relies on Carleman estimates and certain energy estimates for parabolic system.


    1. Introduction

    Population dynamics is the branch of life sciences that studies short-term and long-term changes in the size and age composition of populations, and the biological and environmental processes influencing those changes. To study the basic ideas of modeling a population dynamics system, one can refer to [5]. In [10,15], the authors studied the existence and uniqueness results along with regularity results of population dynamics model with age-dependent diffusion coefficient. Several studies were made on controllability of the model in the past. For instance, Ainseba [1] proved the exact and approximate controllability for a linear age-dependent and spatially structured population dynamics problem. Ainseba and Anitha [3] discussed the local exact controllability of a linear age and space population dynamics model where the birth process is nonlocal, whereas in [2], the authors studied internal exact controllability of a linear age and space structured population model. The null controllability of a linear age-structured model with degenerate dispersion coefficient in population dynamics was studied in [4,19]. Uesaka and Yamamoto [25] considerd a time-dependent structured population model equation and established unique continuation results using Carleman estimate. As for as inverse problems for a population model is concerned, only fewer works were done in the past. One such noted work was done by Blasio and Lorenzi [10].

    In this paper we focus on an inverse problem of reconstructing the source terms in the coupled age-structured population model from the partial knowledge of a solution of the system. These kind of inverse problems for the reaction diffusion system with discontinuous coefficients has already been investigated by several authors [8,9,17,18,24]. In this context, we consider the following linear coupled age-structured model:

    Du=div(k(x)u)+μ(x)u+α(x)v+h1(t,a,x),  (t,a,x)QDv=div(˜k(x)v)+˜μ(x)u+˜α(x)v+h2(t,a,x),  (t,a,x)Q} (1.1)

    with the initial/boundary conditions

    u(θ1,a,x):=u(θ1)(a,x), v(θ1,a,x):=v(θ1)(a,x),  (a,x)QAu(t,θ2,x):=u(θ2)(t,x), v(t,θ2,x):=v(θ2)(t,x),  (t,x)QTu(t,a,x)=v(t,a,x)=0 on Σ

    and transmission conditions

    u|(0,T)×(0,A)×B+=u|(0,T)×(0,A)×Bv|(0,T)×(0,A)×B+=v|(0,T)×(0,A)×B

    where u(t,a,x) and v(t,a,x) be the densities of individuals at time t with age a and at a point x, A be the life expectancy of an individual and T be a positive constant, k and ˜k represent the diffusivity of the species u and v, μ and ˜μ represents the natural growth rate of the species u corresponding to the species u and v, α and ˜α represents the natural growth rate of v corresponding to the species u and v, h1 and h2 represent the corresponding source terms. We have used the notations Du:=ut+ua, Q=(0,T)×(0,A)×Ω, QT=(0,T)×Ω, QA=(0,A)×Ω and Σ=(0,T)×(0,A)×Γ for some bounded, connected open subset Ω of Rn, for n3, with boundary Γ of class C2 and some fixed θ1(0,T) and θ2(0,A). we use the notations, Q=(0,T)×(0,A)×Ω, QT=(0,T)×Ω, QA=(0,A)×Ω and Σ=(0,T)×(0,A)×Γ. Further let ωΩ be a nonempty open subset of Ω. Let Ω0 and Ω1 be a partition of Ω into two nonempty open sets such that ¯Ω0Ω , Ω1=Ω¯Ω0.

    We denote by B=¯Ω0¯Ω1, the interface, which will be supposed of class C2 and by n, the outward unit normal to Ω1 at the points of B and also the outward unit normal to Ω at the points of Γ. Let B+ and B, respectively, be the parts of B corresponding to the positive and negative direction of the normal n.

    The diffusion coefficients k,˜k are assumed to be piecewise regular such that

    k(x)={k0(x)ifxΩ0k1(x)ifxΩ1˜k(x)={˜k0(x)ifxΩ0˜k1(x)ifxΩ1 (1.2)

    Let μ,˜μ,α,˜αL(Ω) and where Q0=(0,T)×(0,A)×Ω0 and Q1=(0,T)×(0,A)×Ω1. hi's be decomposed as h1(t,a,x)=f(x)R(t,a,x) and h2(t,a,x)=g(x)R(t,a,x). Further assume that

    |hit(t,a,x)||gi(t)||hi(θ1,a,x)|,  |hia(t,a,x)||ji(a)||hi(t,θ2,x)|, i=1,2 (1.3)

    for all (t,a,x)[0,T]×[0,A]ׯΩ, where gi(t)L2(0,T) and ji(a)L2(0,A),i=1,2.

    Now, let us give some assumptions on the parameters involved in (1.1).

    Assumption: 1.1. The coefficients ki,˜ki,i=0,1 satisfy the following:

    ki,˜kiC2(¯Ωi),  i=0,1

    k0|B+k1|B, ˜k0|B+˜k1|B

    Assumption: 1.1. The coefficients k,˜k,μ,˜μ,α,˜α satisfy the following:

    • Suppose 0r0k(x), 0r2˜k(x) in Ω exists and the functions k(x),˜k(x) and all their first derivatives are respectively bounded by the positive constants r1 and r3. And suppose 0μ0μ(x)μ1, 0μ2˜μ(x)μ3, 0α0α(x)α1, 0α2˜α(x)α3 a.e. in Ω

    The inverse problems will be studied in the following context:

    Is it possible to determine the space dependent source terms f(x) and g(x) from the measurements of Du and Dv on a nonempty open subset ω of Ω along with the measurements of the solutions u,v and its derivatives at some fixed time θ1 and fixed age θ2?

    Population dynamics is the branch of life sciences that studies short-term and long-term changes in the size and age composition of populations, and the biological and environmental processes influencing those changes.

    In order to get the basic ideas about bounded estimates, one can refer [20]. As far as the stability estimate of an inverse problems for parabolic equations via Carleman estimates is concerned, there exist a vast number of publications [6,11,12]. Referencing all these works is beyond the scope of this paper. So let us first recall briefly the initial results based on Carleman estimates. The theory of Carleman inequality is one of the fastest developing areas of partial differential equations(PDEs); in particular, after the pioneering work of Carleman in 1939, the theory of inequalities of Carleman type has been rapidly developed and now many general results are available for partial differential equations. For the first time, the method of Carleman estimates was introduced in the field of inverse problems by Bukhgeim and Klibanov [13,14,22]. The paper by Klibanov [23] presents a brief review of the applications of Carleman estimates to inverse problems for PDEs with respect to three fundamental issues, namely, uniqueness, stability and numerical methods. After these fundamental contributions to the study of inverse problems there have been abundant papers appearing in various dimensions of scope. Secondly, let us recall some interesting results based on the carleman estimates for partial differential equations with discontinuous diffusion coefficients. Benabdallah et al. [9] gave uniqueness and stability results for both the diffusion coefficients and the initial condition for the heat equation with a discontinuous diffusion coefficient. Doubova et al. [18] found an exact controllability result for a semi-linear heat equation with discontinuous diffusion coefficient. Golgeleyen [21] discussed the inverse problems for source term and coefficient of a potential term in a transport equation. Poisson [24] considered the heat equation with a discontinuous coefficient in three connected situations and gave the uniqueness and stability results for the diffusion coefficient in the main case from measurements of the solution on an arbitrary part of the boundary and at a fixed time in the whole spatial domain. Baudouin and Mercado [7] established the inverse problem of retrieving a stationary potential for the Schrödinger equation in a bounded domain with Dirichlet data and discontinuous principal coefficient from a single time-dependent Neumann boundary measurement.

    The main objective of our work can be briefly described as follows. Let (u,v) be the solution of (1.1) associated with zero Dirichlet boundary conditions and the known semi-initial conditions u(θ1)(a,x),u(θ2)(t,x), v(θ1)(a,x), v(θ2)(t,x) = (A0β(t,a,x)u(t,a,x)da,A0β(t,a,x)v(t,a,x)da) with the discontinuous diffusion coefficient k(x),˜k(x) and unknown source terms f(x) and g(x). Then for sufficiently smooth u(θi),v(θi), i=1,2 there exists a constant C>0 depending on Ω,ω,r0,r1,r2,r3,μ1,μ3,α1,α3,p1,p2,l1 and l2 (p1,p2,l1 and l2 will be defined later) satisfying

    f2L2(Ω)+g2L2(Ω)C(A(ω)+B(θ1)+E(θ2)) (1.4)

    where

    A(ω)=s3λ4Qωe2sηϕ3(|Du|2+|Dv|2)dQB(θ1)=sQAe2sη(θ1)(|div(ku(θ1))|2+|div(˜kv(θ1))|2+|u(θ1)|2+|v(θ1)|2)dQAE(θ2)=sQTe2sη(θ2)(|div(ku(θ2))|2+|div(˜kv(θ2))|2+|u(θ2)|2+|v(θ2)|2)dQT

    It should be emphasized that to the best of our knowledge, as far as the inverse problem of a system of parabolic equations with discontinuous coefficients is concerned, there are few papers appeared; for instance see, Cristofol et al. [17] in which they have discussed the simultaneous reconstruction of the discontinuous diffusion coefficients for the parabolic equations and Baudouin and Mercado [7] established the inverse problem of retrieving a stationary potential for the Schröodinger equation with discontinuous principal coefficient from a single measurement whereas our work establishes the simultaneous identification of two source terms in a coupled age-structured population system with discontinuous diffusion coefficients from the knowledge of solutions on an arbitrary interior domain and at some arbitrary positive time and age. Further, it should be noted that, as far as the inverse problems for a system of age-structured model is concerned, there is no paper available in the literature for discontinuous diffusion coefficients.

    The outline of this paper is as follows: In Section 2 we deduce a Carleman estimate for the system (1.1) with two observation which can be obtained from the classical Carleman estimates for parabolic system [18]. This estimate is applied successfully in Section 3 to derive an estimate for the source terms with the known observations.


    2. Carleman Estimate

    In this section, we quote a Carleman type estimate which is useful for further proceedings. But to get such a estimate, it is necessary to multiply the solution by some suitable weight functions, thus we need to introduce the following functions to express the Carleman estimate in the desired form. Let ω0ωΩ0. Let us define a function ˜βC2(¯Ω), ~βi=˜β|Ωi,  i=0,1, such that

    ˜β>0 in Ω,  ˜β=0 on Γn˜β0 on Γ,  ˜β=1 on Bn˜β0>0,  partialn˜β1>0 on Bk0n˜β0=k1n˜β1 on B|˜β|>0 in ¯Ωω0} (2.1)

    The existence of such a function is referred in [18].

    Let us consider the functions

    β=˜β+K, and ¯β=54 max¯Ω β (2.2)

    with K>0 such that K5 max¯Ω ˜β. and ˜β is given above.

    Let λ be a sufficiently large positive constant that depends only on Ω and ω and will be defined later. For t(0,T), a(0,A), let us define

    ϕ(t,a,x)=eλβ(x)t(Tt)a(Aa),η(t,a,x)=eλ¯βeλβ(x)t(Tt)a(Aa). (2.3)

    Observe that the function ϕ and η are positive and we have the following relations

    ϕ=λϕβ,   η=λϕβ. (2.4)

    Now, let us define

    Zk:={q:qC2([0,T]×[0,A]ׯΩi),   i=0,1,   q|(0,T)×(0,A)×B+=q|(0,T)×(0,A)×B,k0nq|(0,T)×(0,A)×B+=k1nq|(0,T)×(0,A)×B,   q=0 on Σ}

    As a first step in our analysis, we apply the classical Carleman estimates [18] derived for general parabolic type equations with discontinuous coefficient to the following operator

    Lq:=Dqdiv(k(x)q),  (t,a,x)Q (2.5)

    Theorem: 2.1. (Carleman estimate) Let β,ϕ and η be defined as in (2.2)-(2.3) and assume that ωΩ0 is nonempty. Suppose that Assumptions 1.1, 1.2 on the coefficient k(x) holds. Then there exist parameters λ0>0 and s0>0 and a positive constant C that only depends on Ω,ω,r0 and r1 such that, for all λ>λ0 and for all ss0, the following inequality holds

    I(q;k)C(s3λ4Qωe2sηϕ3|q|2dQ+Qe2sη|Lq|2dQ) (2.6)

    where

    I(q;k)=(sλ)1Qϕ1e2sη(|Dq|2+|div(k(x)q)|2)dQ+sλ2Qϕe2sη|q|2dQ+s3λ4Qϕ3e2sη|q|2dQ. 

    for all qZk, where s0 and λ0 will be defined later.

    Proof. Now let us make the change of variable for the unknown function q(t,a,x)=esηψ(t,a,x) in (2.5) along with the conditions ψ(0,,)=ψ(T,,)=ψ(,0,)=ψ(,A,)=0. Then we write the resulting equation in terms of the two operators M1ψ and M2ψ as

    M1ψ+M2ψ=fs (2.7)

    where

    M1ψ=div(kψ)s2λ2ϕ2|β|2kψ+sηtψ+sηaψ,M2ψ=ψt+ψa+2sλϕkβψ+sλ2ϕ|β|2kψ,fs=esηLqsλϕdiv(kβ)ψ.

    Then we have

    M1ψ22+M2ψ22+2(M1ψ,M2ψ)=fs22 (2.8)

    where (,) denote the scalar product in L2(Q) and the norms are defined in L2(Q). Now let us estimate all the terms appearing in the inner product. As a first step, let us split the inner product as a sum of the terms Iij, i,j=1,2,3,4, where Iij is the inner product of the ith term in the expression of M1ψ with jth term in the expression of M2ψ above. Now we shall simplify and estimate each of these integrals by using Green's theorem and usual integration by parts.

    Now the terms I1j, j=1,2,3,4 become, with an integration by parts

    I11=0, and similarly I12 = 0I13=sλΣϕ|knψ|2 (nβ)dΣ+sλQBϕ|knψ|2 [nβ]BdQB+sλ2Qϕk2|β|2|ψ|2dQ+sλQϕk2Δβ|ψ|2dQI14=sλ2QBϕ(knβ)(knψ) [nβ]B ψdQB+sλ2Qϕk div(k|β|2)ψ ψdQ+sλ2Qϕk2|β|2|ψ|2dQ+sλ3Qϕk2β|β|2ψ ψdQ

    where QB:=(0,T)×(0,A)×B. Computations corresponding to the scalar product of the second term in M1ψ with M2ψ gives

    I21=s2λ2Qϕ ϕtk|β|2|ψ|2dQI22=s2λ2Qϕ ϕak|β|2|ψ|2dQI23=s3λ3QBϕ3|knβ|2 [nβ]B |ψ|2dQB+s3λ3Qϕ3div(k2β|β|2) |ψ|2dQ+3s3λ4Qϕ3k2|β|4|ψ|2dQI24=s3λ4Qϕ3k2|β|4|ψ|2dQ

    Calculating the scalar products I3j and I4j, j=1,2,3,4,

    I31=s2Qηtt|ψ|2dQ and similarlyI41=s2Qηaa|ψ|2dQI32=I42 = s2Qηta|ψ|2dQI33=s2λ2Qϕ ϕtk|β|2|ψ|2dQs2λ2Qϕ ηtk|β|2|ψ|2dQs2λQϕηt div(kβ)|ψ|2dQI43=s2λ2Qϕ ϕak|β|2|ψ|2dQs2λ2Qϕ ηak|β|2|ψ|2dQs2λQϕηa div(kβ)|ψ|2dQI34=s2λ2Qϕηtk|β|2|ψ|2dQI44=s2λ2Qϕηak|β|2|ψ|2dQ

    where we have used the notation []B to denote the jump on B and [k]B=k0k10 on B and [nβ]B=nβ0nβ10 on B, where n is the outward unit normal to Ω1 and also nβ0 on Γ, using (2.1) and (2.2). Also note that k0nβ0|B+k1nβ1|B=0.

    Substituting all the preceding equalities in (2.8), we obtain

    M1ψ22+M2ψ22+2s3λ3QBϕ3|knβ|2 [nβ]B |ψ|2dQB+2sλQBϕ|knψ|2 [nβ]BdQB2sλΣϕ|knψ|2 (nβ)dΣ+3s3λ4Qϕ3k2|β|4|ψ|2dQ+2sλ2Qϕk2|β|2|ψ|2dQ=fs222X (2.9)

    where

    X=sλQϕk2Δβ|ψ|2dQ+sλ2QBϕ(knβ)(knψ) [nβ]B ψdQB+sλ2Qϕk div(k|β|2)ψ ψdQ+sλ3Qϕk2β|β|2ψ ψdQ+s3λ3Qϕ3div(k2β|β|2) |ψ|2dQ+2s2λ2QϕDϕk|β|2|ψ|2dQs2λQϕDη div(kβ)|ψ|2dQs2QD2η|ψ|2dQ

    Making use of the estimates (2.3) and (2.4), we have

    |X|s2λ4Qϕ3|ψ|2dQ+Cs3λ3Qϕ3|ψ|2dQ+sλQϕ|ψ|2dQ+CsλQϕ|ψ|2dQ+ϵsλ2Qϕ|ψ|2dQ+ϵsλQBϕ|knψ|2[nβ]BdQB+Cϵsλ3A4T4QBϕ3|knβ|2[nβ]B|ψ|2dQB

    for any ss1=C(Ω,r1)(A2T2(A2+T2+A2T2+A+T)+AT(T2+A2)) and for any λλ1=C(Ω,r1)(AT+TA+3A6T+3T6A).

    On the other hand, from (2.7), we have

    fs22esηLq22+C(Ω,r1,μ1)(s2λ2A2T2Qϕ3|ψ|2dQ) (2.10)

    for any λ1. Further, note that all the integrals in the left hand side of (2.9) are non-negative. Moreover, we know that (2.1) and (2.2) hold. Then, for some λ01, we have

    λ2ϕ|kβ|2C(Ω,r0)λ2ϕλ4ϕ3k2|β|4C(Ω,r0)λ4ϕ3} (2.11)

    for all (t,a,x)(0,T)×(0,A)×(Ωω0) and λλ0.

    Using the estimates (2.10) and (2.11) in (2.9), we obtain

    M1ψ22+M2ψ22+Cs3λ4T0A0Ωω0ϕ3|ψ|2dxdadt+Csλ2T0A0Ωω0ϕ|ψ|2dxdadt+2s3λ3QBϕ3|knβ|2[nβ]B|ψ|2dQB+2sλQBϕ|knψ|2[nβ]BdQBfs22+|X|

    for any λ1 and ss2=C((A+T)4+(A+T)3).

    For any sufficiently large λλ1 and for any ss3=max{s1,s2}, all the upper bounds of X will be absorbed by one of the dominating term in the left hand side of the above inequality. For ϵ small enough, there exists a constant C>0 such that

    M1ψ22+M2ψ22+sλ2Qϕ|ψ|2dQ+s3λ4Qϕ3|ψ|2dQC[esηLq22+sλ2Qω0ϕ|ψ|2dQ+s3λ4Qω0ϕ3|ψ|2dQ] (2.12)

    In order to obtain the Carleman estimate, it remains to obtain the first order derivative in time, age and second order derivative in space of the variable ψ in the left hand side. First one can be done using the expressions of Miψ (i=1,2). Indeed, from (2.7), we have

    (sλ)1Qϕ1|Dψ|2dQC(sλQϕ|ψ|2dQ+sλ3Qϕ|ψ|2dQ+M2ψ22)(sλ)1Qϕ1|ψa|2dQC(sλQϕ|ψ|2dQ+sλ3Qϕ|ψ|2dQ+M2ψ2L2(Q))

    and

    (sλ)1Qϕ1|div(kψ)|2dQC(s3λ3Qϕ3|ψ|2d+M1ψ22)

    for any ss4=C(Ω,r1)(AT(AT+A+T)) and λ1. Thus we get

    (sλ)1Qϕ1(|Dψ|2+|div(kψ)|2)dQC[Qe2sη|Lq|2dQ+sλ2Qω0ϕ|ψ|2dQ+s3λ4Qω0ϕ3|ψ|2dQ]   (2.13)

    for any ss5=max{s3,s4} and λλ0=max{1,λ1}.

    Finally we turn back to our original variable by using the transformation ψ=esηq. Noting that

    e2sη|q|2=|ψ|2,e2sη|q|2=|ψ+sηψ|22|ψ|2+2s2|η|2|ψ|2,
    e2sη|Dq|22|Dψ|2+2s2|Dη|2|ψ|2,   ande2sη|div(kq)|24|div(kψ)|2+4s2|div(kη)|2|ψ|2+8s2|η|2|k|2|ψ|2+4s2|η|4|k|2|ψ|2,

    we have

    (sλ)1Qe2sηϕ1(|Dq|2+|div(kq)|2)dQ+s3λ4Qe2sηϕ3|q|2dQ+sλ2Qϕ|q|2dQC[Qe2sη|Lq|2dQ+sλ2Qω0e2sηϕ|q|2dQ+s3λ4Qω0e2sηϕ3|q|2dQ]   (2.14)

    In order to conclude the proof of the Carleman estimate it is sufficient to derive the first order term in the right hand side of the above equation in terms of the zeroth order term of q in Qω.

    In order to obtain, consider a function ρC0(ω) such that ρ1 in ω0 and ρ0. We consider ω0ω and the estimates obtained below remain true for larger ω.

    Now multiplying the equation (2.5) by sλ2e2sηρϕq and integrating over Qω:=(0,T)×(0,A)×ω, we obtain

    sλ2Qωe2sηρϕq DqdQsλ2Qωe2sηρϕqdiv(kq)dQ+sλ2Qωe2sηρϕμ|q|2dQ=sλ2Qωe2sηρϕLqqdQ

    Using the definition of ρ along with the estimates (2.4), after some usual calculations, we finally obtain

    sλ2Qω0e2sηϕ|q|2dQC(Qe2sη|Lq|2dQ+s3λ4Qωe2sηϕ3|q|2dQ) (2.15)

    for any ss6=σ1((A+T)4+(A+T)3+(A+T)8/3) and for any λ1. Substituting (2.15) in (2.14), we get

    I(q;k)C[Qe2sη|Lq|2dQ+s3λ4Qωϕ3e2sη|q|2dQ]

    for all ss0=max{s5,s6} and λλ0. This completes the proof.

    Now we apply the above Carleman estimates derived for age-dependent diffusion model with discontinuous coefficient to the first equation in(1.1)(referred as (1.1a)). Let u be the solution of (1.1a) and suppose Assumptions 1.1, 1.2 hold true. Then for any λ˜λ0>0 and s˜s0(Ω,A,T)>0, there exists a constant C(Ω,ω,r0,r1)>0 satisfying

    I(u;k)C(s3λ4Qωe2sηϕ3|u|2dQ+Qe2sη|Dudiv(ku)|2dQ) (2.16)

    where I(u;k) is same as defined in (2.6).From (1.1b), we obtain for any λ¯λ0>0 and s¯s0(Ω,A,T), there exists a constant C(Ω,ω,r2,r3)>0 satisfying

    I(v;˜k)C(s3λ4Qωe2sηϕ3|v|2dQ+Qe2sη|Dvdiv(˜kv)|2dQ) (2.17)

    Now coupling the estimates (2.16)-(2.17), we get

    I(u;k)+I(v;˜k)C(s3λ4Qωe2sηϕ3(|u|2+|v|2)dQ+Qe2sη(|h1|2+|h2|2)dQ) (2.18)

    for sufficiently large enough s˜s=max{˜s0,¯s0,CA2T2} and λ˜λ=max{˜λ0,¯λ0} with C=C(Ω,ω,r0,r1,r2,r3,μ1,μ3,α1,α3)>0.


    3. Stability Results

    In this section, we establish a stability estimate using certain ideas from [9]. More precisely, we obtain an inequality which estimates the space dependent source terms f(x) and g(x) with an upper bound given by some Sobolev norm of the solution u,v and its derivative with respect to the time, age and certain spatial derivatives of u,v at time θ1(0,T) and at age θ2(0,A). In proving these kinds of stability estimates, the Carleman estimate obtained in the previous section will play a crucial part along with certain energy estimates.

    Theorem: 3.1. Suppose all the assumptions of Theorem 2.1 hold true with s˜s and λ˜λ. Assume that R,RH1(0,T;L(QA))H1(0,A;L(QT)) and |R(θ1,a,x)|l1>0,|R(θ1,a,x)|l2>0 a.e. in QA, |R(t,θ2,x)|p1>0,|R(t,θ2,x)|p2>0 a.e. in QT, Then there exists a constant C=C(Ω,ω,T,A,r0,r1,r2,r3,α1,α3,μ1,μ3,l1,l2,p1,p2)>0 such that

    f2L2(Ω)+g2L2(Ω)C(s3λ4Qωe2sηϕ3(|Du|2+|Dv|2)dQ+B(θ1)+E(θ2)).

    where B(θ1) and E(θ2) are already defined in (1.4).

    Proof. Let us set y=Du and z=Dv. Then we have

    {Dy=div(ky)+μy+αz+Dh1, in QDz=div(˜kz)+˜μy+˜αz+Dh2, in Qy(t,a,x)=0,z(t,a,x)=0 on Σy(θ1,a,x)=y(θ1), z(θ1,a,x)=z(θ1),  in QAy(t,θ2,x)=y(θ2), z(t,θ2,x)=z(θ2),   in QTU(t,a,x)=0,V(t,a,x)=0 on ΣU(0,a,x)=au0(a,x),V(0,a,x)=av0(a,x) in QAu(t,0,x)=A0β(t,a,x)u(t,a,x)da in QTv(t,0,x)=A0β(t,a,x)v(t,a,x)da in QT (3.1)

    where

    y(θ1)=h1(θ1)+div(ku)(θ1)μ(x)u(θ1)α(x)v(θ1),z(θ1)=h2(θ1)+div(˜kv)(θ1)˜μ(x)u(θ1)˜α(x)v(θ1),y(θ2)=h1(θ2)+div(ku)(θ2)μ(x)u(θ2)α(x)v(θ2),and  z(θ2)=h2(θ2)+div(˜kv)(θ2)˜μ(x)u(θ2)˜α(x)v(θ2),

    Let θ1 and θ2 be some fixed points in (0,T) and (0,A) respectively, that is, a point at which 1/(t(Tt)) and 1/(a(Aa)) has its minimum value. In view of (3.1) and the estimate (2.18), we have

    I(y;k)+I(z;˜k)C(s3λ4Qωe2sηϕ3(|y|2+|z|2)dQ+Qe2sη(|Dh1|2+|Dh2|2)dQ) (3.2)

    On the other hand, we have

    QAsy(θ1,a,x)2e2sη(θ1,a,x)dQA=θ10t(QAsy(t,a,x)2e2sη(t,a,x)dQA)dtQ2s2e2sηηt|y|2dQ+Q2syyte2sηdQ

    Similarly, for any θ2(0,A),

    QTsy(t,θ2,x)2e2sη(t,θ2,x)dQT=θ20a(QTsy(t,a,x)2e2sη(t,a,x)dQT)dtQ2s2e2sηηa|y|2dQ+Q2syyae2sηdQ

    Coupling the estimates

    QAsy(θ1,a,x)2e2sη(θ1,a,x)dQA+QTsy(t,θ2,x)2e2sη(t,θ2,x)dQTQ2s2e2sηDη|y|2dQ+Q2syDye2sηdQC(TA2+AT2)s2Qϕ2e2sη|y|2dQ+2Q(ssλϕyesη)(1sλϕDyesη)dQC((T3A4+A3T4)s2+T4A4s3λQϕ3e2sη|y|2dQ+Q1sλϕe2sη|Dy|2dQ)C(s3λ4Qϕ3e2sη|y|2dQ+Q(sλϕ)1e2sη|Dy|2dQ)CI(y;k). (3.3)

    for any λC(Ω)AT(T13A13+T14+A14) and s1. Similarly,

    QAsz(θ1)2e2sη(θ1)dQA+QTsz(θ2)2e2sη(θ2)dQTCI(z;˜k). (3.4)

    And also, it is easy to see that, from (3.1)

    sQAe2sη(θ1)2i=1hi(θ1)2dQA+sQTe2sη(θ2)2i=1hi(θ2)2dQTC(QAs(y(θ1)2+z(θ1)2)e2sη(θ1)dQA+QTs(y(θ2)2+z(θ2)2)e2sη(θ2)dQT+B(θ1)+E(θ2)). (3.5)

    where B(θ1),E(θ2) are defined in (1.4) and C depends on Ω,μ1,μ3,α1,α3.

    sQAe2sη(θ1)2i=1hi(θ1)2dQA+sQTe2sη(θ2)2i=1hi(θ2)2dQTC(I(y;k)+I(z;˜k)+B(θ1)+E(θ2)). (3.6)

    From the Carleman estimate derived in the previous section, we have

    sQAe2sη(θ1)2i=1hi(θ1)2dQA+sQTe2sη(θ2)2i=1hi(θ2)2dQTC(s3λ4Qωe2sηϕ3(|y|2+|z|2)dQ+Qe2sη(|Dh1|2+|Dh2|2)dQ+B(θ1)+E(θ2)). (3.7)

    Now from the definition of the source terms (1.3) h1(t,a,x)=f(x)R(t,a,x) and h2(t,a,x)=g(x)R(t,a,x) and also R,RH1(0,T;L(QA))H1(0,A;L(QT)) further |R(θ1,a,x)|r1>0,|R(θ1,a,x)|r2>0 a.e. in ˉΩ×[0,A], and |R(t,θ2,x)|r3>0,|R(t,θ2,x)|r4>0 a.e. in ˉΩ×[0,T], we deduce that: there exist giL2(0,T) and jiL2(0,A), i=1,2 so that

    |DR(t,a,x)|g1(t)|R(θ1,a,x)|+j1(a)|R(t,θ2,x)|,  (t,a,x)Q.
    |R(t,a,x)|g2(t)|R(θ1,a,x)|+g4(a)|R(t,θ2,x)|,  (t,a,x)Q.

    Making use of the definition of the source terms, we get

    sQA(|f|2|R(θ1)|2+|g|2|R(θ1)|2)e2sη(θ1)dQA+sQT(|f|2|R(θ2)|2+|g|2|R(θ2)|2)e2sη(θ2)dQTCQe2sη(|f|2|g1|2|R(θ1)|2+|g|2|g2|2|R(θ1)|2+|f|2|j1|2|R(θ2)|2+|g|2|j2|2|R(θ2)|2)dQ+C(s3λ4Qωe2sηϕ3(|y|2+|z|2)dQ+B(θ1)+E(θ2)) (3.8)

    Then, by virtue of the properties of η and ϕ, there exist m0,m1 and n0,n1 such that

    infQAe2sη(θ1)m0>0 and supQAe2sη(θ1)m1,  (a,x)QA,

    and

    infQTe2sη(θ2)n0>0 and supQTe2sη(θ2)n1,  (t,x)QT,

    But the functions giL2(0,T) and jiL2(0,A), i=1,2 implying that

    T0|gi|2dtGi,A0|ji|2dtKi, i=1,2

    For the choice of ss0=max{˜s,C(m1,n1)(G1+G2+K1+K2)} and any λ˜λ, we have

    QA(|f|2|R(θ1)|2+|g|2|R(θ1)|2)dQA+QT(|f|2|R(θ2)|2+|g|2|R(θ2)|2)dQTC(s3λ4Qωe2sηϕ3(|y|2+|z|2)dQ+B(θ1)+E(θ2)) (3.9)

    where we have used the fact that e2sηe2sη(θ1) and e2sηe2sη(θ2) for all (t,a,x)Q.

    Taking into account |R(\theta_1, a, x)|\geq l_1>0, |{\mathcal R}(\theta_1, a, x)|\geq l_2>0 a.e. in Q_A, |R(t, \theta_2, x)|\geq p_1>0, |{\mathcal R}(t, \theta_2, x)|\geq p_2>0 a.e. in Q_T, and set r^2=\min\{l_1^2, l_2^2\} and p^2=\min\{p_1^2, p_2^2\}, we have

    \label{3f7} \|f\|_{L^2(\Omega)}^2+\|g\|_{L^2(\Omega)}^2 \leq \frac{C}{(Ar^2+Tp^2)}\left(s^3\lambda^4\int_{Q_{\omega}}e^{-2s\eta}\phi^3\left(|y|^2+|z|^2\right)\: dQ +{\mathcal B}(\theta_1)+{\mathcal E}(\theta_2)\right). (3.10)

    Thus going back to the original variable y=Du and z=Dv one can complete the proof.


    4. Conclusion

    In this paper we have proved the stability analysis of reconstructing the two space dependent source terms in the age-structured population model of two equations with discontinuous diffusion coefficients by two observations. It is observed that the results can be extended to the system consisting of {m} species and the reconstruction of {m} space dependent source term with {m} observations are possible. The reconstruction of all the source terms by a single observation (in general, reconstruction of {m} source terms with {m-1} observations) would be an interesting work and as far as we know, it is very complicated due to the presence of source term.


    Acknowledgments

    The work of first and second author is supported by the UGC (Grant No.: F.25-1/2014-15(BSR)/7-27/2007(BSR)) and NBHM, Department of Atomic Energy, India (Grant No: 2/48(2)/2015/NBHM(R.P.)/R&D-II/14183) respectively.


    Conflict of Interest

    All authors declare no conflicts of interest in this paper.


    [1] B. Ainseba, Exact and approximate controllability of the age and space population dynamics structured model, J. Math. Anal. Appl., 275 (2002), 562-574.
    [2] B. Ainseba and S. Anita, Internal exact controllability of the linear population dynamics with diffusion, Electron. J. Differ. Eq., 2004 (2004), no.112, 1-11.
    [3] B. Ainseba and S. Anita, Local exact controllability of the age-dependent population dynamics with diffusion, Abstr. Appl. Anal., 6 (2001), 357-368.
    [4] B. Ainseba, Y. Echarroudi and L. Maniar, Null controllability of population dynamics with degenerate dffusion, Differ. Integral Equ., 26 (2013), 1397-1410.
    [5] S. Anita, Analysis and Control of Age-Dependent population Dynamics, Kluwer Academic Publisher, Dordrecht, 2000.
    [6] V. Barbu, M. Iannelli and M. Martcheva, On the controllability of the Lotka-McKendrick model of population dynamics, J. Math. Anal. Appl., 253 (2001), 142-165.
    [7] L. Baudouin and A. Mercado, An inverse problem for Schr¨odinger equations with discontinuous main coefficient, Appl. Anal., 87 (2008), 1145-1165.
    [8] K. Beauchard, P. Cannarsa and M. Yamamoto, Inverse source problem and null controllability for mulitdimensional parabolic operators of Grushin type, Inverse Probl., 30 (2014), 025006.
    [9] A. Benabdallah, P. Gaitan and J. Le Rousseau, Stability of discontinuous diffusion coefficients and initial conditions in an inverse problem for the heat equation, SIAM J. Control Optim., 46 (2007), 1849-1881.
    [10] G. D. Blasio and A. Lorenzi, An identification problem in age-dependent population dynamics, Numer. Func. Anal. Opt., 34 (2013), 36-73.
    [11] I. Boutaayamou, A. Hajjaj and L. Maniar, Lipschitz stability for degenerate parabolic systems, Electron. J. Differ. Eq., 2014 (2014), no.149, 1-15.
    [12] I. Boutaayamou, G. Fragnelli and L. Maniar, Lipschitz stability for linear parabolic systems with interior degeneracy, Electron. J. Differ. Eq., 2014 (2014), no.167, 1-26.
    [13] A.L.Bukhgeim, Carleman estimates for Volterra operators and uniqueness of inverse problems, In: Non-classical Problems of Mathematical Physics, Computing Center of Siberian Branch of Soviet Academy of Sciences, Novosibirsk, 1981, 56-69.
    [14] A.L.Bukhgeim and M.V.Klibanov, Uniqueness in the large class of multidimensional inverse problems, Sovi. Math. Dokl., 24 (1981), 244-247.
    [15] S. Busenberg and M. Iannelli, A Class of nonlinear diffusion problems in age-dependent population dynamics, Nonlinear Anal. Theory Methods Appl., 7 (1983), 501-529.
    [16] P. Cannarsa, J. Tort and M. Yamamoto, Determination of source terms in a degenerate parabolic equation, Inverse Probl., 26 (2010), 105003 (20pp).
    [17] M. Cristofol, P. Gaitan, K. Niinim¨aki and O. Poisson, Inverse problems for a coupled parabolic system with discontinuous conductivities: one dimensional case, Inverse Probl. Imaging, 7 (2013), 159-182.
    [18] A. Doubova, A. Osses and J. -P. Puel, Exact controllability to trajectories for semilinear heat equations with discontinuous diffusion coefficients, ESAIM Contr. Optim. Calc. Var., 8 (2002), 621-661.
    [19] Y. Echarroudi and L. Maniar, Null controllability of a model in population dynamics, Electron. J.Differ. Eq., 2014 (2014), no.240, 1-20.
    [20] L. C. Evans, Partial Differential Equations, AMS, Providence, 1998.
    [21] S. Golgeleyen and M. Yamamoto, Stability for some inverse problems for transport equations, SIAM J. Control and Optim., 48 (2015), 2319-2344.
    [22] M.V.Klibanov, Uniqueness in the large of some multidimensional inverse problems, In: Non-Classical Problems of Mathematical Physics, Computing Center of Siberian Branch of Soviet Academy of Sciences, Novosibirsk, 1981, 101-114.
    [23] M.V.Klibanov, Carleman estimates and inverse problems in the last two decades, In: Surveys on solution methods for inverse problems, Springer, Vienna, 2000, 119-146.
    [24] O. Poisson, Carleman estimates for the heat equation with discontinuous diffusion coefficients, Appl. Anal., 87 (2008), 1129-1144.
    [25] M. Uesaka and M. Yamamoto, Carleman estimate and unique continuation for a structured population model, Appl. Anal., 95 (2016), 599-614.
  • This article has been cited by:

    1. F. Achab, A. Hafdallah, I. Rezzoug, Identification of the local changes in age-structured population dynamics with missing initial condition, 2024, 2076-4626, 3, 10.26907/0021-3446-2024-8-3-19
    2. F. Achab, A. Hafdallah, I. Rezzoug, Identification of the Local Changes in Age-Structured Population Dynamics with Missing Initial Condition, 2024, 68, 1066-369X, 1, 10.3103/S1066369X24700646
  • Reader Comments
  • © 2017 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(5168) PDF downloads(1163) Cited by(2)

Article outline

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog