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
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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)×B−v|(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 n≤3, 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 ω⊂Ω be a nonempty open subset of Ω. Let Ω0 and Ω1 be a partition of Ω into two nonempty open sets such that ¯Ω0⊂Ω , 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)ifx∈Ω0k1(x)ifx∈Ω1˜k(x)={˜k0(x)ifx∈Ω0˜k1(x)ifx∈Ω1 | (1.2) |
Let μ,˜μ,α,˜α∈L∞(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
|∂hi∂t(t,a,x)|≤|gi(t)||hi(θ1,a,x)|, |∂hi∂a(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,˜ki∈C2(¯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 0<r0≤k(x), 0<r2≤˜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 0<μ0≤μ(x)≤μ1<∞, 0<μ2≤˜μ(x)≤μ3<∞, 0<α0≤α(x)≤α1<∞, 0<α2≤˜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
‖f‖2L2(Ω)+‖g‖2L2(Ω)≤C(A(ω)+B(θ1)+E(θ2)) | (1.4) |
where
A(ω)=s3λ4∫Qωe−2sηϕ3(|Du|2+|Dv|2)dQB(θ1)=s∫QAe−2sη(θ1)(|div(k∇u(θ1))|2+|div(˜k∇v(θ1))|2+|u(θ1)|2+|v(θ1)|2)dQAE(θ2)=s∫QTe−2sη(θ2)(|div(k∇u(θ2))|2+|div(˜k∇v(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.
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 ω0⋐ω⋐Ω0. Let us define a function ˜β∈C2(¯Ω), ~βi=˜β|Ωi, i=0,1, such that
˜β>0 in Ω, ˜β=0 on Γ∂→n˜β<0 on Γ, ˜β=1 on B∂→n˜β0>0, partial→n˜β1>0 on Bk0∂→n˜β0=k1∂→n˜β1 on B|∇˜β|>0 in ¯Ω∖ω0} | (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 K≥5 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(T−t)a(A−a),η(t,a,x)=eλ¯β−eλβ(x)t(T−t)a(A−a). | (2.3) |
Observe that the function ϕ and η are positive and we have the following relations
∇ϕ=λϕ∇β, ∇η=−λϕ∇β. | (2.4) |
Now, let us define
Zk:={q:q∈C2([0,T]×[0,A]ׯΩi), i=0,1, q|(0,T)×(0,A)×B+=q|(0,T)×(0,A)×B−,k0∂→nq|(0,T)×(0,A)×B+=k1∂→nq|(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:=Dq−div(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 ω∩Ω0 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 s≥s0, the following inequality holds
I(q;k)≤C(s3λ4∫Qωe−2sηϕ3|q|2dQ+∫Qe−2sη|Lq|2dQ) | (2.6) |
where
I(q;k)=(sλ)−1∫Qϕ−1e−2sη(|Dq|2+|div(k(x)∇q)|2)dQ+sλ2∫Qϕe−2sη|∇q|2dQ+s3λ4∫Qϕ3e−2sη|q|2dQ. |
for all q∈Zk, 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(k∇ψ)−s2λ2ϕ2|∇β|2kψ+sηtψ+sηaψ,M2ψ=ψt+ψa+2sλϕk∇β⋅∇ψ+sλ2ϕ|∇β|2kψ,fs=e−sηLq−sλϕdiv(k∇β)ψ. |
Then we have
‖M1ψ‖22+‖M2ψ‖22+2(M1ψ,M2ψ)=‖fs‖22 | (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=−sλ∫Σϕ|k∂→nψ|2 (∂→nβ)dΣ+sλ∫QBϕ|k∂→nψ|2 [∂→nβ]BdQB+sλ2∫Qϕk2|∇β|2|∇ψ|2dQ+sλ∫Qϕk2Δβ|∇ψ|2dQI14=sλ2∫QBϕ(k∂→nβ)(k∂→nψ) [∂→nβ]B ψdQB+sλ2∫Qϕk div(k|∇β|2)∇ψ ψdQ+sλ2∫Qϕk2|∇β|2|∇ψ|2dQ+sλ3∫Qϕk2∇β|∇β|2∇ψ ψdQ |
where QB:=(0,T)×(0,A)×B. Computations corresponding to the scalar product of the second term in M1ψ with M2ψ gives
I21=s2λ2∫Qϕ ϕtk|∇β|2|ψ|2dQI22=s2λ2∫Qϕ ϕak|∇β|2|ψ|2dQI23=s3λ3∫QBϕ3|k∂→nβ|2 [∂→nβ]B |ψ|2dQB+s3λ3∫Qϕ3div(k2∇β|∇β|2) |ψ|2dQ+3s3λ4∫Qϕ3k2|∇β|4|ψ|2dQI24=−s3λ4∫Qϕ3k2|∇β|4|ψ|2dQ |
Calculating the scalar products I3j and I4j, j=1,2,3,4,
I31=−s2∫Qηtt|ψ|2dQ and similarlyI41=−s2∫Qηaa|ψ|2dQI32=I42 = −s2∫Qηta|ψ|2dQI33=s2λ2∫Qϕ ϕtk|∇β|2|ψ|2dQ−s2λ2∫Qϕ ηtk|∇β|2|ψ|2dQ−s2λ∫Qϕηt div(k∇β)|ψ|2dQI43=s2λ2∫Qϕ ϕak|∇β|2|ψ|2dQ−s2λ2∫Qϕ ηak|∇β|2|ψ|2dQ−s2λ∫Qϕηa div(k∇β)|ψ|2dQI34=s2λ2∫Qϕηtk|∇β|2|ψ|2dQI44=s2λ2∫Qϕηak|∇β|2|ψ|2dQ |
where we have used the notation [⋅]B to denote the jump on B and [k]B=k0−k1≤0 on B and [∂→nβ]B=∂→nβ0−∂→nβ1≥0 on B, where →n is the outward unit normal to Ω1 and also ∂→nβ≤0 on Γ, using (2.1) and (2.2). Also note that k0∂→nβ0|B+−k1∂→nβ1|B−=0.
Substituting all the preceding equalities in (2.8), we obtain
‖M1ψ‖22+‖M2ψ‖22+2s3λ3∫QBϕ3|k∂→nβ|2 [∂→nβ]B |ψ|2dQB+2sλ∫QBϕ|k∂→nψ|2 [∂→nβ]BdQB−2sλ∫Σϕ|k∂→nψ|2 (∂→nβ)dΣ+3s3λ4∫Qϕ3k2|∇β|4|ψ|2dQ+2sλ2∫Qϕk2|∇β|2|∇ψ|2dQ=‖fs‖22−2X | (2.9) |
where
X=sλ∫Qϕk2Δβ|∇ψ|2dQ+sλ2∫QBϕ(k∂→nβ)(k∂→nψ) [∂→nβ]B ψdQB+sλ2∫Qϕk div(k|∇β|2)∇ψ ψdQ+sλ3∫Qϕk2∇β|∇β|2∇ψ ψdQ+s3λ3∫Qϕ3div(k2∇β|∇β|2) |ψ|2dQ+2s2λ2∫QϕDϕk|∇β|2|ψ|2dQ−s2λ∫QϕDη div(k∇β)|ψ|2dQ−s2∫QD2η|ψ|2dQ |
Making use of the estimates (2.3) and (2.4), we have
|X|≤s2λ4∫Qϕ3|ψ|2dQ+Cs3λ3∫Qϕ3|ψ|2dQ+sλ∫Qϕ|∇ψ|2dQ+Csλ∫Qϕ|∇ψ|2dQ+ϵsλ2∫Qϕ|∇ψ|2dQ+ϵsλ∫QBϕ|k∂→nψ|2[∂→nβ]BdQB+Cϵsλ3A4T4∫QBϕ3|k∂→nβ|2[∂→nβ]B|ψ|2dQB |
for any s≥s1=C(Ω,r1)(A2T2(A2+T2+A2T2+A+T)+AT(T2+A2)) and for any λ≥λ1=C(Ω,r1)(A√T+T√A+3√A6√T+3√T6√A).
On the other hand, from (2.7), we have
‖fs‖22≤‖e−sηLq‖22+C(Ω,r1,μ1)(s2λ2A2T2∫Qϕ3|ψ|2dQ) | (2.10) |
for any λ≥1. 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 λ0≥1, we have
λ2ϕ|k∇β|2≥C(Ω,r0)λ2ϕλ4ϕ3k2|∇β|4≥C(Ω,r0)λ4ϕ3} | (2.11) |
for all (t,a,x)∈(0,T)×(0,A)×(Ω∖ω0) and λ≥λ0.
Using the estimates (2.10) and (2.11) in (2.9), we obtain
‖M1ψ‖22+‖M2ψ‖22+Cs3λ4∫T0∫A0∫Ω∖ω0ϕ3|ψ|2dxdadt+Csλ2∫T0∫A0∫Ω∖ω0ϕ|∇ψ|2dxdadt+2s3λ3∫QBϕ3|k∂→nβ|2[∂→nβ]B|ψ|2dQB+2sλ∫QBϕ|k∂→nψ|2[∂→nβ]BdQB≤‖fs‖22+|X| |
for any λ≥1 and s≥s2=C((A+T)4+(A+T)3).
For any sufficiently large λ≥λ1 and for any s≥s3=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
‖M1ψ‖22+‖M2ψ‖22+sλ2∫Qϕ|∇ψ|2dQ+s3λ4∫Qϕ3|ψ|2dQ≤C[‖e−sηLq‖22+sλ2∫Qω0ϕ|∇ψ|2dQ+s3λ4∫Qω0ϕ3|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)−1∫Qϕ−1|Dψ|2dQ≤C(sλ∫Qϕ|∇ψ|2dQ+sλ3∫Qϕ|ψ|2dQ+‖M2ψ‖22)(sλ)−1∫Qϕ−1|ψa|2dQ≤C(sλ∫Qϕ|∇ψ|2dQ+sλ3∫Qϕ|ψ|2dQ+‖M2ψ‖2L2(Q)) |
and
(sλ)−1∫Qϕ−1|div(k∇ψ)|2dQ≤C(s3λ3∫Qϕ3|ψ|2d+‖M1ψ‖22) |
for any s≥s4=C(Ω,r1)(AT(AT+A+T)) and λ≥1. Thus we get
(sλ)−1∫Qϕ−1(|Dψ|2+|div(k∇ψ)|2)dQ≤C[∫Qe−2sη|Lq|2dQ+sλ2∫Qω0ϕ|∇ψ|2dQ+s3λ4∫Qω0ϕ3|ψ|2dQ] | (2.13) |
for any s≥s5=max{s3,s4} and λ≥λ0=max{1,λ1}.
Finally we turn back to our original variable by using the transformation ψ=e−sηq. Noting that
e−2sη|q|2=|ψ|2,e−2sη|∇q|2=|∇ψ+s∇ηψ|2≤2|∇ψ|2+2s2|∇η|2|ψ|2, |
e−2sη|Dq|2≤2|Dψ|2+2s2|Dη|2|ψ|2, ande−2sη|div(k∇q)|2≤4|div(k∇ψ)|2+4s2|div(k∇η)|2|ψ|2+8s2|∇η|2|k|2|∇ψ|2+4s2|∇η|4|k|2|ψ|2, |
we have
(sλ)−1∫Qe−2sηϕ−1(|Dq|2+|div(k∇q)|2)dQ+s3λ4∫Qe−2sηϕ3|q|2dQ+sλ2∫Qϕ|∇q|2dQ≤C[∫Qe−2sη|Lq|2dQ+sλ2∫Qω0e−2sηϕ|∇q|2dQ+s3λ4∫Qω0e−2sηϕ3|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 ρ∈C∞0(ω) such that ρ≡1 in ω0 and ρ≥0. We consider ω0⊂ω and the estimates obtained below remain true for larger ω.
Now multiplying the equation (2.5) by sλ2e−2sηρϕq and integrating over Qω:=(0,T)×(0,A)×ω, we obtain
sλ2∫Qωe−2sηρϕq DqdQ−sλ2∫Qωe−2sηρϕqdiv(k∇q)dQ+sλ2∫Qωe−2sηρϕμ|q|2dQ=sλ2∫Qωe−2sηρϕLqqdQ |
Using the definition of ρ along with the estimates (2.4), after some usual calculations, we finally obtain
sλ2∫Qω0e−2sηϕ|∇q|2dQ≤C(∫Qe−2sη|Lq|2dQ+s3λ4∫Qωe−2sηϕ3|q|2dQ) | (2.15) |
for any s≥s6=σ1((A+T)4+(A+T)3+(A+T)8/3) and for any λ≥1. Substituting (2.15) in (2.14), we get
I(q;k)≤C[∫Qe−2sη|Lq|2dQ+s3λ4∫Qωϕ3e−2sη|q|2dQ] |
for all s≥s0=max{s5,s6} and λ≥λ0. 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(s3λ4∫Qωe−2sηϕ3|u|2dQ+∫Qe−2sη|Du−div(k∇u)|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(s3λ4∫Qωe−2sηϕ3|v|2dQ+∫Qe−2sη|Dv−div(˜k∇v)|2dQ) | (2.17) |
Now coupling the estimates (2.16)-(2.17), we get
I(u;k)+I(v;˜k)≤C(s3λ4∫Qωe−2sηϕ3(|u|2+|v|2)dQ+∫Qe−2sη(|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.
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,R∈H1(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
‖f‖2L2(Ω)+‖g‖2L2(Ω)≤C(s3λ4∫Qωe−2sηϕ3(|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(k∇y)+μy+αz+Dh1, in QDz=div(˜k∇z)+˜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(k∇u)(θ1)−μ(x)u(θ1)−α(x)v(θ1),z(θ1)=h2(θ1)+div(˜k∇v)(θ1)−˜μ(x)u(θ1)−˜α(x)v(θ1),y(θ2)=h1(θ2)+div(k∇u)(θ2)−μ(x)u(θ2)−α(x)v(θ2),and z(θ2)=h2(θ2)+div(˜k∇v)(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(T−t)) and 1/(a(A−a)) has its minimum value. In view of (3.1) and the estimate (2.18), we have
I(y;k)+I(z;˜k)≤C(s3λ4∫Qωe−2sηϕ3(|y|2+|z|2)dQ+∫Qe−2sη(|Dh1|2+|Dh2|2)dQ) | (3.2) |
On the other hand, we have
∫QAsy(θ1,a,x)2e−2sη(θ1,a,x)dQA=∫θ10∂∂t(∫QAsy(t,a,x)2e−2sη(t,a,x)dQA)dt≤∫Q−2s2e−2sηηt|y|2dQ+∫Q2syyte−2sηdQ |
Similarly, for any θ2∈(0,A),
∫QTsy(t,θ2,x)2e−2sη(t,θ2,x)dQT=∫θ20∂∂a(∫QTsy(t,a,x)2e−2sη(t,a,x)dQT)dt≤∫Q−2s2e−2sηηa|y|2dQ+∫Q2syyae−2sηdQ |
Coupling the estimates
∫QAsy(θ1,a,x)2e−2sη(θ1,a,x)dQA+∫QTsy(t,θ2,x)2e−2sη(t,θ2,x)dQT≤∫Q−2s2e−2sηDη|y|2dQ+∫Q2syDye−2sηdQ≤C(TA2+AT2)s2∫Qϕ2e−2sη|y|2dQ+2∫Q(s√sλϕye−sη)(1√sλϕDye−sη)dQ≤C((T3A4+A3T4)s2+T4A4s3λ∫Qϕ3e−2sη|y|2dQ+∫Q1sλϕe−2sη|Dy|2dQ)≤C(s3λ4∫Qϕ3e−2sη|y|2dQ+∫Q(sλϕ)−1e−2sη|Dy|2dQ)≤CI(y;k). | (3.3) |
for any λ≥C(Ω)AT(T13A13+T−14+A−14) and s≥1. Similarly,
∫QAsz(θ1)2e−2sη(θ1)dQA+∫QTsz(θ2)2e−2sη(θ2)dQT≤CI(z;˜k). | (3.4) |
And also, it is easy to see that, from (3.1)
s∫QAe−2sη(θ1)∑2i=1hi(θ1)2dQA+s∫QTe−2sη(θ2)∑2i=1hi(θ2)2dQT≤C(∫QAs(y(θ1)2+z(θ1)2)e−2sη(θ1)dQA+∫QTs(y(θ2)2+z(θ2)2)e−2sη(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.
s∫QAe−2sη(θ1)2∑i=1hi(θ1)2dQA+s∫QTe−2sη(θ2)2∑i=1hi(θ2)2dQT≤C(I(y;k)+I(z;˜k)+B(θ1)+E(θ2)). | (3.6) |
From the Carleman estimate derived in the previous section, we have
s∫QAe−2sη(θ1)∑2i=1hi(θ1)2dQA+s∫QTe−2sη(θ2)∑2i=1hi(θ2)2dQT≤C(s3λ4∫Qωe−2sηϕ3(|y|2+|z|2)dQ+∫Qe−2sη(|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,R∈H1(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 gi∈L2(0,T) and ji∈L2(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
s∫QA(|f|2|R(θ1)|2+|g|2|R(θ1)|2)e−2sη(θ1)dQA+s∫QT(|f|2|R(θ2)|2+|g|2|R(θ2)|2)e−2sη(θ2)dQT≤C∫Qe−2sη(|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(s3λ4∫Qωe−2sηϕ3(|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
infQAe−2sη(θ1)≥m0>0 and supQAe−2sη(θ1)≤m1<∞, ∀(a,x)∈QA, |
and
infQTe−2sη(θ2)≥n0>0 and supQTe−2sη(θ2)≤n1<∞, ∀(t,x)∈QT, |
But the functions gi∈L2(0,T) and ji∈L2(0,A), i=1,2 implying that
∫T0|gi|2dt≤Gi<∞,∫A0|ji|2dt≤Ki<∞, i=1,2 |
For the choice of s≥s0=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)dQT≤C(s3λ4∫Qωe−2sηϕ3(|y|2+|z|2)dQ+B(θ1)+E(θ2)) | (3.9) |
where we have used the fact that e−2sη≤e−2sη(θ1) and e−2sη≤e−2sη(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.
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.
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.
All authors declare no conflicts of interest in this paper.
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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 |