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Spectral stability analysis of the Dirichlet-to-Neumann map for fractional diffusion equations with a reaction coefficient

  • This paper focused on the stability analysis of the Dirichlet-to-Neumann (DN) map for the fractional diffusion equation with a reaction coefficient q. The main result provided a Hölder-type stability estimate for the map, which was formulated in terms of the Dirichlet eigenvalues and normal derivatives of eigenfunctions of the operator Aq:=Δ+q.

    Citation: Ridha Mdimagh, Fadhel Jday. Spectral stability analysis of the Dirichlet-to-Neumann map for fractional diffusion equations with a reaction coefficient[J]. AIMS Mathematics, 2024, 9(3): 5394-5406. doi: 10.3934/math.2024260

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  • This paper focused on the stability analysis of the Dirichlet-to-Neumann (DN) map for the fractional diffusion equation with a reaction coefficient q. The main result provided a Hölder-type stability estimate for the map, which was formulated in terms of the Dirichlet eigenvalues and normal derivatives of eigenfunctions of the operator Aq:=Δ+q.



    In this paper, our focus lies on studying the stability of the Dirichlet-to-Neumann (DN) map for the fractional diffusion equation with respect to the reaction coefficient represented by the symbol q. This equation serves as a mathematical model that describes abnormal diffusion in various physical phenomena. Examples include the scattering field data problem in soil [1], material diffusion in heterogeneous media, fluid flow diffusion in inhomogeneous and anisotropic porous media, turbulent plasma behavior, carrier diffusion in amorphous photoconductors, diffusion in turbulent medium flows, percolation models in porous media, biological phenomena, and finance problems (see [2]). More about the applications of fractional derivatives can be found in [3,4,5].

    In mathematical terms, we consider a smooth bounded domain Ω in Rd (d1) with a smooth boundary denoted by Ω. Our investigation revolves around the initial boundary value problem, formulated as follows:

    {αtuΔu+q(x)u=0,inΩT:=Ω×(0,T),u(x,0)=0,inΩ,u=f,onΣT:=Ω×(0,T). (1.1)

    Here, T>0 is a fixed real number, the diffusion potential q belongs to the space L(ˉΩ), and the Dirichlet data f is taken from the space Ξ defined as

    Ξ:={hC1([0,T];H32(Ω));h(,0)=0,onΩ}. (1.2)

    In the above equations, αtu denotes the fractional Caputo time derivative, which is defined as

    αtg(t):=1Γ(nα)t0(ts)nα1g(n)(s)ds.

    Here, n:=[α]+1, where [] represents the integer part function, Γ is the Euler-Gamma function, and Δ:=dj=12x2j stands for the Laplacian operator with respect to the spatial coordinates.

    To establish the existence and uniqueness of a solution to the problem described in (1.1), we rely on a proposition given by Kian et al. in [6]:

    Proposition 1.1. [6] Let α(0,1), ρL(Ω), aC1(ˉΩ), qL(Ω) satisfy the conditions

    ρ(x)c,a(x)c,q(x)0,

    for some positive constant c, and let fC1([0,T];H32(Ω)) satisfy f(,0)=0 on Ω, then there exists a unique solution uC([0,T];L2(Ω)) to the following boundary value problem:

    {ραtudiv(au)+qu=0,inΩT,u(x,0)=0,inΩ,u=f,onΣT. (1.3)

    Moreover, we have uC([0,T];L2(Ω))C((0,T];H2γ(Ω)), for any γ(0,1).

    Let us introduce the DN operator, denoted as Hq,α, associated with the problem described in (1.1). This operator is defined as follows:

    Hq,α:fC1([0,T];H32(Ω))uνC([0,T];H2γ32(Ω)). (1.4)

    Here, ν represents the outward unit normal vector to Ω and u denotes the solution to the problem given in (1.1). According to Proposition 1.1, when γ(34,1), the operator Hq,α is well-defined in the space C((0,T];L2(Ω)).

    In this study, our objective is to establish a spectral stability estimate of Hölder type for the DN map Hq,α, with respect to the Dirichlet eigenvalues (λk,q)k and the normal derivatives of associated eigenfunctions (νφk,q)k of the operator Aq:=Δ+q. Previous works have explored related stability estimates in different settings. Alessandrini et al. in [7] demonstrated a spectral stability of Hölder type for the DN map associated with a wave diffusion equation using certain approximate spectral data. In [8], the authors established stability estimates for a partial hyperbolic DN map, specifically in cases where measurements are made at the intersection of the domain's boundary with a half-space. They obtained a Hölder type stability estimate in three dimensions and a logarithmic type stability estimate in two dimensions. These results have found applications in various works, such as [9,10], where log-type stability estimates were proved for the DN map restricted to a specific part of the boundary. These estimates were then used to identify the potential q in the wave equation based on boundary observations. Additionally, in [11], the authors provided Hölder stability results for the DN map and established a stability estimate linked to the multidimensional Borg-Levinson theorem for determining a potential from spectral data.

    The structure of this paper is organized as follows: In Section 2, we present fundamental properties related to the spectrum of the operator Aq and state the main result, which can be found in Theorem 2.1. Section 3 is dedicated to the proof of Theorem 2.1.

    In this section, we introduce the necessary notations to present our main stability result. We denote by Λq the DN map associated with the operator Aq:=Δ+q defined on the domain D(Aq)=H10(Ω)H2(Ω). The map Λq is defined as follows:

    Λq:ψνu,

    where u represents the solution of

    {Aqu=0,inΩ,u=ψ,onΩ.

    Here, σ(Aq)=λk,q denotes the spectrum of Aq and ρ(Aq)=Cσ(Aq) represents the resolvent set of Aq.

    For any λρ(Aq) and ψH32(Ω), the problem

    {Δu+quλu=0,inΩ,u=ψ,onΩ

    has a unique solution u:=u(q,ψ,λ)H2(Ω). Furthermore, the operator Λq(λ):ψνu is bounded from H32(Ω) to H12(Ω) (see [12]).

    It is a well-known fact that the spectrum of Aq comprises a sequence of eigenvalues, where each eigenvalue is counted according to its multiplicity. The eigenvalues are ordered as follows:

    0λ1,qλ2,qλk,q.

    The associated sequence of eigenfunctions is denoted by φk,q, and we can assume that this sequence forms an orthonormal basis of L2(Ω) for the solution φk,q of the problem

    {(Δ+q)φ=λk,qφ,inΩ,φ=0,onΩ.

    From the classical H2(Ω) a priori estimates, we derive

    φk,qH2(Ω)Cλk,qφk,qL2(Ω)=Cλk,q. (2.1)

    For more details, see [9,13]. Therefore, from trace theorem (see [12]), we obtain

    νφk,qH12(Ω)Cλk,q. (2.2)

    Additionally, there exists a positive constant K1 such that

    K1k2dλk,qKk2d, (2.3)

    where the constant K can be chosen uniformly in q within the range 0q(x)M for xΩ. Consequently, we obtain the estimates

    νφk,qH12(Ω)Ck2d, (2.4)

    and from [7] (Lemma 2.5), we have

    νφk,qHp(Ω)C(λk,q+1)p2+34,0p12. (2.5)

    These estimates provide insights into the behavior of φk,q and its normal derivatives in different function spaces. We can conclude that the sequence (k2mdνφk,qH12(Ω))k belongs to 1 if m>d2+1. Here, 1 is the standard Banach space of real-valued sequences for which the corresponding series are absolutely convergent. It is defined as

    1={(xn)nR,n=1|xn|<}

    equipped with its natural norm given by

    (xn)n1=n=1|xn|.

    Let us fix ζ such that d2+1<ζd+1. It follows that (k2ζdνφk,qH12(Γ))k belongs to 1.

    Let r:=(rk) be the sequence defined by rk=k2ζd, k1. We introduce the Banach space

    1(H12(Γ),r):={g=(gk)k1H12(Γ),and(rkgkH12(Γ))k1}

    equipped with the norm:

    g1(H12(Γ),r)=k1rkgkH12(Γ).

    Furthermore, let μ=(μk) be the sequence of eigenvalues of A0 (which corresponds to Aq with q=0). As a consequence of the min-max formula (e.g., [14]), we have

    |λk,qμk|qL(Ω),k1

    which implies that λqμqL(Ω), where λq:=(λk,q)k, and denotes the standard Banach space of bounded real-valued sequences. In other words, λq belongs to the affine space ˜=μ+. We equip ˜ with the distance function:

    d(β1,β2)=(β1μ)(β2μ)=β1β2,βj˜,j=1,2. (2.6)

    Let us define Nα:=[α(d+2)]+1 and Ξ0 as the set

    Ξ0:=ΞifNα=1,Ξ0={gHNα(0,T;H32(Ω));jtg(,0)=0,j=0,,Nα1},ifNα2, (2.7)

    where Ξ is the set defined by (1.2).

    Instead of considering Hq,α directly as an operator from Ξ to C([0,T];L2(Ω)), we will focus on its restriction, denoted by Hq,α, to the subspace Ξ0 of Ξ. Furthermore, we denote |Hq1,αHq2,α|p as the norm of the operator Hq1,αHq2,α in the space L(HNα(0,T;H32(Ω));L2(0,T;Hp(Ω))). Here, HNα represents the L2-based Sobolev space of order Nα, and L2(0,T;Hp(Ω)) represents the space of square integrable maps from the interval (0,T] to Hp(Ω). With these notations established, we are now able to state the main result.

    Theorem 2.1. Let qiL(Ω) and let there be a constant M such that qiL(Ω)M,i=1,2, then there exists a constant C such that

    |Hq1,αHq2,α|pC(δ+δθ),

    where δ=d(λq1,λq2)+νφq1νφq21(H12(Ω),r), νφqi=(νφk,qi)k,i=1,2, θ(0,1), 0p<12, and d is defined in (2.6).

    This section aims to establish the stability of the DN map Hq,α with respect to the spectrum (λk,q,φk,q)k of the operator Aq. The proof of Theorem 2.1 relies on two key propositions: Propositions 3.1 and 3.2. Proposition 3.1 extends the results from [7,9,13] to the fractional case (α(0,1)), which originally dealt with the classical case α=2. The extension is made possible by leveraging the properties of the Mittag-Leffler function [15,16]. Proposition 3.2 establishes the stability of the term Bαq under small perturbations of the potential q in L(Ω). The norm of the difference between Bαq1 and Bαq2 is bounded by a constant times the value of δ. This proposition is an essential component in the proof of Theorem 2.1, as it ensures the stability of the additional term Bαq in the representation of the operator Hq,α. The following lemmas, whose proofs can be found in [7,13], are instrumental in the proof. Alessandrini et al. in [7] used these Lemmas to give an explicit representation of the DN map for the wave equation, which was used in [7,9,13] to establish estimates for the DN map and to give stability results for the inverse problem of identifying the potential q according to these estimations. We adapt this technique to establish a spectral stability estimate to the DN map for the fractional diffusion equation.

    Lemma 3.1. ([13], Proposition 2.30, p. 64)

    (1) For λρ(Aq), we set Rq(λ):=(Aqλ)1. For hL2(Ω), we have

    Rq(λ)h=k11λk,qλ(h,φk,q)φk,q,

    where (,) represents the inner product in L2(Ω).

    (2) For λρ(Aq), there exists δ0 and C such that

    Rq(λ+μ)Rq(λ)μRq(λ)2L(L2(Ω),H2(Ω))C|μ|2,μC,|μ|δ0.

    In particular, λρ(Aq)Rq(λ)L(L2(Ω),H2(Ω)) is a holomorphic function.

    Lemma 3.2. [7,13] Let qL(Ω), m>d2, fH32(Ω), and λρ(Aq), and we have

    dmdλmΛq(λ)f=m!k11(λk,qλ)m+1f,νφk,qνφk,q|Ω,

    where , represents the inner product in L2(Ω).

    Lemma 3.3. [7,13] For nonnegative integer N and q1,;q2L(Ω) with 0q1,;q2M. There exists a positive constant C, depending only on Ω and M, such that

    djdλj(Λq1(λ)Λq2(λ))pC|λ|j+12p4,λ0and0jN,

    where p denotes the norm in L(H32(Ω),Hp(Ω)), 0p<12.

    Lemma 3.4. [9,13] Let F(λ):=Λq1(λ)Λq2(λ). We have

    F(d+1)(λ)pCδ.

    In particular, for 0jd,

    F(j)(0)pCδθ,

    where θ(0,1).

    These lemmas, with the two following propositions, provide the necessary tools to establish the stability result presented in Theorem 2.1.

    Proposition 3.1. For each fΞ0, we have

    Hq,αf=d+1j=0[1j!djdλj(Λq(λ)]|λ=0(αt)jf+Bαqf, (3.1)

    where

    Bαqf=n=11λd+2n,q(t0(αs)d+2f,νφn,q(ts)α1Eα,α(λn,q(ts)α)ds)νφn,q,

    and

    Eμ,β(z):=k=0zkΓ(μk+β),zC,μ>0,βR (3.2)

    is the Mittag-Leffler function.

    Proof. We set u=d+1j=0uj+h as the solution of the problem (1.1), where, for a fixed t0, u0:=u0(,t) is the solution of

    {Δxu0+q(x)u0=0,inΩ,u0=f,onΣ, (3.3)

    and for j=1,,d+1,uj is the solution of

    {Δxuj+q(x)uj=αtuj1,inΩ,uj=0,onΣ, (3.4)
    {αthΔxh+q(x)h=αtud+1,inΩT,h(x,0)=0,inΩ,h=0,onΣT. (3.5)

    Note that each uj has zero initial values. In fact, we remark that for any gΞ, limt0αtg(,t)=0. Indeed, using integration by parts, we obtain

    αtg(,t)=1Γ(1α)t0(ts)αgs(,s)ds,t>0.

    Since the function sgs(,s) is continuous on [0,T], then it is bounded on [0,T], and there exists m,MR such that

    mt0(ts)αdst0(ts)αgs(,s)dsMt0(ts)αds

    which implies that

    mΓ(2α)t1ααtg(,t)MΓ(1α)t1α,

    and since 1α>0, limt0αtg(,t)=0.

    Taking t=0 in Eq (3.3), and since f(,0)=0, we deduce that u0(,0)=0; and from the previous remark, αtu0(,0)=0. In the same way, we prove that uj(,0)=0 for j=1,,d+1.

    In the following, we show that νuj=1j!djdλj(Λq(λ)|λ=0[(αt)jf]. Indeed, for j=0, we have νu0=Λqf. For j=1,,d+1, let w be the solution of

    {Δxw+q(x)wλw=αtuj1,inΩT,w=0,onΣT, (3.6)

    then uj is the solution of (3.6) for λ=0. We have

    Aq(λ)|λ=0uj=αtuj1

    which implies that

    uj=Rq(λ)|λ=0(αtuj1)==Rq(λ)j|λ=0[(αt)ju0].

    From Lemma 3.1, we have

    Rq(λ)=k=11λk,qλ(,φk,q)φk,q

    which implies that

    Rq(λ)j=k=11(λk,qλ)j(,φk,q)φk,q

    and

    uj=k=11λjk,q((αt)ju0,φk,q)φk,q,j=1,,d+1. (3.7)

    (αt)ju0 and φk,q are, respectively, the solutions of

    {Δx(αt)ju0+q(x)(αt)ju0=0,inΩT,(αt)ju0=(αt)jf,onΣT (3.8)

    and

    {Δxφk,q+q(x)φk,q=λk,qφk,q,inΩ,φk,q=0,onΩ. (3.9)

    Applying Green's identity to (3.8) and (3.9),

    Ω(Δ[(αt)ju0]φk,q[(αt)ju0]Δφk,q)dx=Ω([ν(αt)ju0]φk,q[(αt)ju0]νφk,q)dx. (3.10)

    When one obtains

    ((αt)ju0,φk,q)=1λk,q(αt)jf,νφk,q, (3.11)

    then

    uj=k11λj+1k,q(αt)jf,νφk,qφk,q

    and

    νuj=k11λj+1k,q(αt)jf,νφk,qνφk,q.

    Then, using Lemma 3.2, we deduce

    νuj=1j!djdλj(Λq(λ)|λ=0[(αt)jf]. (3.12)

    Now, we will show that

    νh=n=11λd+2n,q(t0(αs)d+2f,νφn,q(ts)α1Eα,α(λn,q(ts)α)ds)νφn,q.

    From Theorem 2.2 [17], the solution h of (3.5) is given by

    h=n=1(t0(αtud+1,φn,q)(ts)α1Eα,α(λn,q(ts)α)ds)φn,q. (3.13)

    Using (3.7) for j=d+1, we obtain

    ud+1=k=11λd+1k,q((αt)d+1u0,φk,q)φk,q

    which implies that

    (αt)ud+1=k=11λd+1k,q((αt)d+2u0,φk,q)φk,q. (3.14)

    Using the same way for the proof of (3.11), we have

    ((αt)d+2u0,φk,q)=1λk,q(αt)d+2f,νφk,q

    and

    (αt)ud+1=k=11λd+2k,q(αt)d+2f,νφk,qφk,q. (3.15)

    Substituting (3.15) into (3.13), we obtain

    h=n=11λd+2n,q(t0(αs)d+2f,νφk,q(ts)α1Eα,α(λk,q(ts)α)ds)φn,q

    which implies that

    Bαqf=νh=n=11λd+2n,q(t0(αs)d+2f,νφk,q(ts)α1Eα,α(λk,q(ts)α)ds)νφn,q. (3.16)

    Since u=d+1j=1uj+h, νu=d+1j=1νuj+νh and from Eqs (3.12) and (3.16), we obtain (3.1).

    Proposition 3.2. For any q1,q2L(Ω) such that |qi|L(Ω)M for i=1,2. There exists a constant C such that

    |Bαq1Bαq2|pCδ,

    where δ is defined in Theorem 2.1 and ||p represents the norm in the corresponding function space.

    Proof.

    (Bαq1Bαq2)f=J1+J2+J3+J4,

    where

    J1=k=1[1λd+2k,q11λd+2k,q2]νφk,q1t0(ts)α1Eα,α(λk,q1(ts)α)ck,q1(s)ds,
    J2=k=11λd+2k,q2[νφk,q1νφk,q2]t0(ts)α1Eα,α(λk,q1(ts)α)ck,q1(s)ds,
    J3=k=11λd+2k,q2νφk,q2t0(ts)α1(Eα,α(λk,q1(ts)α)Eα,α(λk,q2(ts)α))ck,q1ds,
    J4=k=11λd+2k,q2νφk,q2t0(ts)α1Eα,α(λk,q2(ts)α)(ck,q1(s)ck,q2(s))ds

    and ck,qi(s)=(αs)d+2f,νφk,qi,i=1,2.

    We have the following estimates:

    J1L2(0,T;Hp(Ω))d(λq1,λq2)fΞ0k11k2(d+2)dCd(λq1,λq2)fΞ0, (3.17)
    J2L2(0,T;Hp(Ω))+J4L2(0,T;Hp(Ω))CfΞ0k11k2(d+2)dνφk,q1νφk,q2H12(Ω)CfΞ0νφq1νφq21(H12(Ω),r). (3.18)

    The estimation of J3L2(0,T;Hp(Ω)):

    First, we set E:=Eα,α(λk,q1(ts)α)Eα,α(λk,q2(ts)α), and from (3.2) we have

    E=n=0(1)n(ts)αnΓ(αn+α)(λnk,q1λnk,q2)=(λk,q1λk,q2)n=0(1)n(ts)αnΓ(αn+α)n1j=0λjk,q1λn1jk,q2. (3.19)

    From (2.3), there exists two constants C1 and C2 such that

    C1k2d(n1)λjk,q1λn1jk,q2C2k2d(n1)

    which implies that

    ˜C1ak,n(1)n(ts)αnΓ(αn+α)n1j=0λjk,q1λn1jk,q2˜C2ak,n,

    where ak,n:=(1)n(ts)αnΓ(αn+α)nk2d(n1).

    Using the definition of the Mittag-Leffler function, we can prove easily that

    n=1nxnΓ(αn+α)=n=0nxnΓ(αn+α)=1αEα,α1(x)α1αEα,α(x),

    then

    n=0ak,n=1k2d[1αEα,α1((ts)αk2d)α1αEα,α((ts)αk2d)].

    From [16] (Theorem 1.6, p. 35), there exists a constant C>0 such that

    |Eα,β(z)|C1+|z|,zC,γarg(z)π, (3.20)

    then

    |E|Ck2d|λk,q1λk,q2|.

    Using (2.3)–(2.5), we obtain

    J3Hp(Ω)Cd(λq1,λq2)fΞ0. (3.21)

    From the estimations (3.17), (3.18), and (3.21), we conclude that for all fΞ0,

    (Bαq1Bαq2)fHp(Ω)CδfΞ0,

    and then

    |Bαq1Bαq2|pCδ. (3.22)

    Proof of Theorem 2.1. We have

    |Hq1,αHq2,α|pd+1j=0F(j)(0)p+|Bαq1Bαq2|p.

    From the estimation (3.22) and Lemma 3.4, we obtain

    |Hq1,αHq2,α|pC(δ+δθ).

    Therefore,

    |Hq1,αHq2,α|pCδθ

    for δ sufficiently small.

    This paper presented a spectral stability estimate for the DN map associated with the fractional diffusion equation. The estimate was formulated in terms of the Dirichlet eigenvalues and normal derivatives of the eigenfunctions of the operator Aq:Δ+q. The obtained stability result was of Hölder type. The result is novel and interesting, and it has significant implications for the inverse problems of finding the coefficient q in a bounded domain. In future work, the stability estimate will be used as a crucial tool to prove logarithmic stability for this inverse problem, and numerical results will be presented. Overall, this paper contributes to the understanding of the spectral properties and stability analysis of the fractional diffusion equation, paving the way for further investigations in the field of inverse problems and coefficient identification.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This work was funded by the University of Jeddah, Jeddah, Saudi Arabia, under grant No. (UJ-02-049-DR). The authors, therefore, acknowledge with thanks the University of Jeddah technical and financial support.

    The authors declare no conflicts of interest.



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