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 (d≥1) with a smooth boundary denoted by ∂Ω. Our investigation revolves around the initial boundary value problem, formulated as follows:
{∂αtu−Δu+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:={h∈C1([0,T];H32(∂Ω));h(⋅,0)=0,on∂Ω}. | (1.2) |
In the above equations, ∂αtu denotes the fractional Caputo time derivative, which is defined as
∂αtg(t):=1Γ(n−α)∫t0(t−s)n−α−1g(n)(s)ds. |
Here, n:=[α]+1, where [⋅] represents the integer part function, Γ is the Euler-Gamma function, and Δ:=d∑j=1∂2∂x2j 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), ρ∈L∞(Ω), a∈C1(ˉΩ), q∈L∞(Ω) satisfy the conditions
ρ(x)≥c,a(x)≥c,q(x)≥0, |
for some positive constant c, and let f∈C1([0,T];H32(∂Ω)) satisfy f(⋅,0)=0 on ∂Ω, then there exists a unique solution u∈C([0,T];L2(Ω)) to the following boundary value problem:
{ρ∂αtu−div(a∇u)+qu=0,inΩT,u(x,0)=0,inΩ,u=f,onΣT. | (1.3) |
Moreover, we have u∈C([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:f∈C1([0,T];H32(∂Ω))↦∂u∂ν∈C([0,T];H2γ−32(∂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:ψ↦∂νu, |
where u represents the solution of
{Aqu=0,inΩ,u=ψ,on∂Ω. |
Here, σ(Aq)=λk,q denotes the spectrum of Aq and ρ(Aq)=C∖σ(Aq) represents the resolvent set of Aq.
For any λ∈ρ(Aq) and ψ∈H32(∂Ω), the problem
{−Δu+qu−λu=0,inΩ,u=ψ,on∂Ω |
has a unique solution u:=u(q,ψ,λ)∈H2(Ω). Furthermore, the operator Λq(λ):ψ↦∂νu 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:
0≤λ1,q≤λ2,q≤…≤λk,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,on∂Ω. |
From the classical H2(Ω) a priori estimates, we derive
‖φk,q‖H2(Ω)≤Cλk,q‖φk,q‖L2(Ω)=Cλk,q. | (2.1) |
For more details, see [9,13]. Therefore, from trace theorem (see [12]), we obtain
‖∂νφk,q‖H12(∂Ω)≤Cλk,q. | (2.2) |
Additionally, there exists a positive constant K≥1 such that
K−1k2d≤λk,q≤Kk2d, | (2.3) |
where the constant K can be chosen uniformly in q within the range 0≤q(x)≤M for x∈Ω. Consequently, we obtain the estimates
‖∂νφk,q‖H12(∂Ω)≤Ck2d, | (2.4) |
and from [7] (Lemma 2.5), we have
‖∂νφk,q‖Hp(∂Ω)≤C(λk,q+1)p2+34,0≤p≤12. | (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 (k−2md‖∂νφk,q‖H12(∂Ω))k belongs to ℓ1 if m>d2+1. Here, ℓ1 is the standard Banach space of real-valued sequences for which the corresponding series are absolutely convergent. It is defined as
ℓ1={(xn)n⊂R,∞∑n=1|xn|<∞} |
equipped with its natural norm given by
‖(xn)n‖ℓ1=∞∑n=1|xn|. |
Let us fix ζ such that d2+1<ζ≤d+1. It follows that (k−2ζd‖∂νφk,q‖H12(Γ))k belongs to ℓ1.
Let r:=(rk) be the sequence defined by rk=k−2ζd, k≥1. We introduce the Banach space
ℓ1(H12(Γ),r):={g=(gk)k≥1⊂H12(Γ),and(rk‖gk‖H12(Γ))k∈ℓ1} |
equipped with the norm:
‖g‖ℓ1(H12(Γ),r)=∑k≥1rk‖gk‖H12(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,q−μk|≤‖q‖L∞(Ω),k≥1 |
which implies that ‖λq−μ‖ℓ∞≤‖q‖L∞(Ω), where λq:=(λk,q)k, and ℓ∞ denotes the standard Banach space of bounded real-valued sequences. In other words, λq belongs to the affine space ˜ℓ∞=μ+ℓ∞. We equip ˜ℓ∞ with the distance function:
d∞(β1,β2)=‖(β1−μ)−(β2−μ)‖ℓ∞=‖β1−β2‖ℓ∞,βj∈˜ℓ∞,j=1,2. | (2.6) |
Let us define Nα:=[α(d+2)]+1 and Ξ0 as the set
Ξ0:=ΞifNα=1,Ξ0={g∈HNα(0,T;H32(∂Ω));∂jtg(⋅,0)=0,j=0,…,Nα−1},ifNα≥2, | (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,α−Hq2,α|‖p as the norm of the operator Hq1,α−Hq2,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 qi∈L∞(Ω) and let there be a constant M such that ‖qi‖L∞(Ω)≤M,i=1,2, then there exists a constant C such that
‖|Hq1,α−Hq2,α|‖p≤C(δ+δθ), |
where δ=d∞(λq1,λq2)+‖∂νφq1−∂νφq2‖ℓ1(H12(∂Ω),r), ∂νφqi=(∂νφk,qi)k,i=1,2, θ∈(0,1), 0≤p<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 λ∈ρ(Aq), we set Rq(λ):=(Aq−λ)−1. For h∈L2(Ω), we have
Rq(λ)h=∑k≥11λk,q−λ(h,φk,q)φk,q, |
where (⋅,⋅) represents the inner product in L2(Ω).
(2) For λ∈ρ(Aq), there exists δ0 and C such that
‖Rq(λ+μ)−Rq(λ)−μRq(λ)2‖L(L2(Ω),H2(Ω))≤C|μ|2,∀μ∈C,|μ|≤δ0. |
In particular, λ∈ρ(Aq)↦Rq(λ)∈L(L2(Ω),H2(Ω)) is a holomorphic function.
Lemma 3.2. [7,13] Let q∈L∞(Ω), m>d2, f∈H32(∂Ω), and λ∈ρ(Aq), and we have
dmdλmΛq(λ)f=−m!∑k≥11(λk,q−λ)m+1⟨f,∂νφk,q⟩∂νφk,q|∂Ω, |
where ⟨⋅,⋅⟩ represents the inner product in L2(∂Ω).
Lemma 3.3. [7,13] For nonnegative integer N and q1,;q2∈L∞(Ω) with 0≤q1,;q2≤M. There exists a positive constant C, depending only on Ω and M, such that
‖djdλj(Λq1(λ)−Λq2(λ))‖p≤C|λ|j+1−2p4,λ≤0and0≤j≤N, |
where ‖⋅‖p denotes the norm in L(H32(∂Ω),Hp(∂Ω)), 0≤p<12.
Lemma 3.4. [9,13] Let F(λ):=Λq1(λ)−Λq2(λ). We have
‖F(d+1)(λ)‖p≤Cδ. |
In particular, for 0≤j≤d,
‖F(j)(0)‖p≤Cδθ, |
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 f∈Ξ0, we have
Hq,αf=d+1∑j=0[1j!djdλj(Λq(λ)]|λ=0(−∂αt)jf+Bαqf, | (3.1) |
where
Bαqf=−∞∑n=11λd+2n,q(∫t0⟨(−∂αs)d+2f,∂νφn,q⟩(t−s)α−1Eα,α(−λn,q(t−s)α)ds)∂νφn,q, |
and
Eμ,β(z):=∞∑k=0zkΓ(μk+β),z∈C,μ>0,β∈R | (3.2) |
is the Mittag-Leffler function.
Proof. We set u=d+1∑j=0uj+h as the solution of the problem (1.1), where, for a fixed t≥0, 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=−∂αtuj−1,inΩ,uj=0,onΣ, | (3.4) |
{∂αth−Δxh+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 g∈Ξ, limt→0∂αtg(⋅,t)=0. Indeed, using integration by parts, we obtain
∂αtg(⋅,t)=1Γ(1−α)∫t0(t−s)−α∂g∂s(⋅,s)ds,t>0. |
Since the function s↦∂g∂s(⋅,s) is continuous on [0,T], then it is bounded on [0,T], and there exists m,M∈R such that
m∫t0(t−s)−αds≤∫t0(t−s)−α∂g∂s(⋅,s)ds≤M∫t0(t−s)−αds |
which implies that
mΓ(2−α)t1−α≤∂αtg(⋅,t)≤MΓ(1−α)t1−α, |
and since 1−α>0, limt→0∂αtg(⋅,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)w−λw=−∂αtuj−1,inΩT,w=0,onΣT, | (3.6) |
then uj is the solution of (3.6) for λ=0. We have
Aq(λ)|λ=0uj=−∂αtuj−1 |
which implies that
uj=Rq(λ)|λ=0(−∂αtuj−1)=…=Rq(λ)j|λ=0[(−∂αt)ju0]. |
From Lemma 3.1, we have
Rq(λ)=∞∑k=11λk,q−λ(⋅,φk,q)φk,q |
which implies that
Rq(λ)j=∞∑k=11(λk,q−λ)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,on∂Ω. | (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=−∑k≥11λj+1k,q⟨(−∂αt)jf,∂νφk,q⟩φk,q |
and
∂νuj=−∑k≥11λj+1k,q⟨(−∂αt)jf,∂νφk,q⟩∂νφk,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⟩(t−s)α−1Eα,α(−λn,q(t−s)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)(t−s)α−1Eα,α(−λn,q(t−s)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,q⟩φk,q. | (3.15) |
Substituting (3.15) into (3.13), we obtain
h=−∞∑n=11λd+2n,q(∫t0⟨(−∂αs)d+2f,∂νφk,q⟩(t−s)α−1Eα,α(−λk,q(t−s)α)ds)φn,q |
which implies that
Bαqf=∂νh=−∞∑n=11λd+2n,q(∫t0⟨(−∂αs)d+2f,∂νφk,q⟩(t−s)α−1Eα,α(−λk,q(t−s)α)ds)∂νφn,q. | (3.16) |
Since u=d+1∑j=1uj+h, ∂νu=d+1∑j=1∂νuj+∂νh and from Eqs (3.12) and (3.16), we obtain (3.1).
Proposition 3.2. For any q1,q2∈L∞(Ω) such that |qi|L∞(Ω)≤M for i=1,2. There exists a constant C such that
‖|Bαq1−Bαq2|‖p≤Cδ, |
where δ is defined in Theorem 2.1 and ‖|⋅|‖p represents the norm in the corresponding function space.
Proof.
(Bαq1−Bαq2)f=J1+J2+J3+J4, |
where
J1=∞∑k=1[1λd+2k,q1−1λd+2k,q2]∂νφk,q1∫t0(t−s)α−1Eα,α(−λk,q1(t−s)α)ck,q1(s)ds, |
J2=∞∑k=11λd+2k,q2[∂νφk,q1−∂νφk,q2]∫t0(t−s)α−1Eα,α(−λk,q1(t−s)α)ck,q1(s)ds, |
J3=∞∑k=11λd+2k,q2∂νφk,q2∫t0(t−s)α−1(Eα,α(−λk,q1(t−s)α)−Eα,α(−λk,q2(t−s)α))ck,q1ds, |
J4=∞∑k=11λd+2k,q2∂νφk,q2∫t0(t−s)α−1Eα,α(−λk,q2(t−s)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:
‖J1‖L2(0,T;Hp(∂Ω))≤d∞(λq1,λq2)‖f‖Ξ0∑k≥11k2(d+2)d≤Cd∞(λq1,λq2)‖f‖Ξ0, | (3.17) |
‖J2‖L2(0,T;Hp(∂Ω))+‖J4‖L2(0,T;Hp(∂Ω))≤C‖f‖Ξ0∑k≥11k2(d+2)d‖∂νφk,q1−∂νφk,q2‖H12(∂Ω)≤C‖f‖Ξ0‖∂νφq1−∂νφq2‖ℓ1(H12(∂Ω),r). | (3.18) |
The estimation of ‖J3‖L2(0,T;Hp(∂Ω)):
First, we set E:=Eα,α(−λk,q1(t−s)α)−Eα,α(−λk,q2(t−s)α), and from (3.2) we have
E=∞∑n=0(−1)n(t−s)αnΓ(αn+α)(λnk,q1−λnk,q2)=(λk,q1−λk,q2)∞∑n=0(−1)n(t−s)αnΓ(αn+α)n−1∑j=0λjk,q1λn−1−jk,q2. | (3.19) |
From (2.3), there exists two constants C1 and C2 such that
C1k2d(n−1)≤λjk,q1λn−1−jk,q2≤C2k2d(n−1) |
which implies that
˜C1ak,n≤(−1)n(t−s)αnΓ(αn+α)n−1∑j=0λjk,q1λn−1−jk,q2≤˜C2ak,n, |
where ak,n:=(−1)n(t−s)αnΓ(αn+α)nk2d(n−1).
Using the definition of the Mittag-Leffler function, we can prove easily that
∞∑n=1nxnΓ(αn+α)=∞∑n=0nxnΓ(αn+α)=1αEα,α−1(x)−α−1αEα,α(x), |
then
∞∑n=0ak,n=1k2d[1αEα,α−1(−(t−s)αk2d)−α−1αEα,α(−(t−s)αk2d)]. |
From [16] (Theorem 1.6, p. 35), there exists a constant C>0 such that
|Eα,β(z)|≤C1+|z|,z∈C,γ≤arg(z)≤π, | (3.20) |
then
|E|≤Ck2d|λk,q1−λk,q2|. |
Using (2.3)–(2.5), we obtain
‖J3‖Hp(∂Ω)≤Cd∞(λq1,λq2)‖f‖Ξ0. | (3.21) |
From the estimations (3.17), (3.18), and (3.21), we conclude that for all f∈Ξ0,
‖(Bαq1−Bαq2)f‖Hp(∂Ω)≤Cδ‖f‖Ξ0, |
and then
‖|Bαq1−Bαq2|‖p≤Cδ. | (3.22) |
Proof of Theorem 2.1. We have
‖|Hq1,α−Hq2,α|‖p≤d+1∑j=0‖F(j)(0)‖p+‖|Bαq1−Bαq2|‖p. |
From the estimation (3.22) and Lemma 3.4, we obtain
‖|Hq1,α−Hq2,α|‖p≤C(δ+δθ). |
Therefore,
‖|Hq1,α−Hq2,α|‖p≤Cδθ |
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.
[1] |
E. E. Adams, L. W. Gelhar, Field study of dispersion in a heterogeneous aquifer: 2. Spatial moments analysis, Water Resour. Res., 28 (1992), 3293–3307. https://doi.org/10.1029/92WR01757 doi: 10.1029/92WR01757
![]() |
[2] |
J. M. Carcione, F. J. Sanchez-Sesma, F. Luzon, J. J. P. Gavilan, Theory and simulation of time-fractional fluid diffusion in porous media, J. Phys. A, 46 (2013), 345501. https://doi.org/10.1088/1751-8113/46/34/345501 doi: 10.1088/1751-8113/46/34/345501
![]() |
[3] |
A. Ghanmi, R. Mdimagh, I. B. Saad, Identification of points sources via time fractional diffusion equation, Filomat, 32 (2018), 6189–6201. https://doi.org/10.2298/FIL1818189G doi: 10.2298/FIL1818189G
![]() |
[4] |
F. Jday, R. Mdimagh, Uniqueness result for a fractional diffusion coeffcient identification problem, Bound. Value Probl., 2019 (2019), 1–13. https://doi.org/10.1186/s13661-019-1278-x doi: 10.1186/s13661-019-1278-x
![]() |
[5] |
B. Tang, L. J. Qiao, D. Xu, An ADI orthogonal spline collocation method for a new two-dimensional distributed-order fractional integro-differential equation, Comput. Math. Appl., 132 (2023), 104–118. https://doi.org/10.1016/j.camwa.2022.12.006 doi: 10.1016/j.camwa.2022.12.006
![]() |
[6] |
Y. Kian, L. Oksanen, E. Soccorsi, M. Yamamoto, Global uniqueness in an inverse problem for time fractional diffusion equations, J. Differ. Equ., 264 (2018), 1146–1170. https://doi.org/10.1016/j.jde.2017.09.032 doi: 10.1016/j.jde.2017.09.032
![]() |
[7] |
G. Alessandrini, J. Sylvester, Z. Sun, Stability for a multidimensional inverse spectral theorem, Commun. Partial Differ. Equ., 15 (1990), 711–736. http://dx.doi.org/10.1080/03605309908820705 doi: 10.1080/03605309908820705
![]() |
[8] |
V. Isakov, Z. Sun, Stability estimates for hyperbolic inverse problems with local boundary data, Inverse Probl., 8 (1992), 193. https://doi.org/10.1088/0266-5611/8/2/003 doi: 10.1088/0266-5611/8/2/003
![]() |
[9] |
M. Bellassoued, M. Choulli, M. Yamamoto, Stability estimate for an inverse wave equation and a multidimensional Borg-Levinson theorem, J. Differ. Equ., 247 (2009), 465–494. https://doi.org/10.1016/j.jde.2009.03.024 doi: 10.1016/j.jde.2009.03.024
![]() |
[10] |
M. Choulli, Y. Kian, Stability of the determination of a time-dependent coefficient in parabolic equations, Math. Control Related Fields, 3 (2013), 143–160. https://doi.org/10.3934/mcrf.2013.3.143 doi: 10.3934/mcrf.2013.3.143
![]() |
[11] |
M. Choulli, P. Stefanov, Stability for the multi-dimensional Borg-Levinson theorem with partial spectral data, Commun. Partial Differ. Equ., 38 (2013), 455–476. https://doi.org/10.1080/03605302.2012.747538 doi: 10.1080/03605302.2012.747538
![]() |
[12] | J. L. Lions, E. Magenes, Non-homogeneous boundary value problems and applications, Berlin, Heidelberg: Springer, 1972. https://doi.org/10.1007/978-3-642-65161-8 |
[13] | M. Choulli, Une introduction aux problèmes inverses elliptiques et paraboliques, Berlin, Heidelberg: Springer, 2009. https://doi.org/10.1007/978-3-642-02460-3 |
[14] | R. Dautray, J. L. Lions, Mathematical analysis and numerical methods for science and technology: Volume 3 Spectral theory and applications, Berlin, Heidelberg: Springer, 1999. |
[15] | A. A. Kilbas, H. M. Srivastava, J. J. Trujillo, Theory and applications of fractional differential equations, Elsevier, 2006. |
[16] | I. Podlubny, Fractional differential equations, Academic Press, 1999. |
[17] |
K. Sakamoto, M. Yamamoto, Initial value/boundary value problems for fractional diffusion-wave equations and applications to some inverse problems, J. Math. Anal. Appl., 382 (2011), 426–447. https://doi.org/10.1016/j.jmaa.2011.04.058 doi: 10.1016/j.jmaa.2011.04.058
![]() |