Abstract
Until now the reader has been introduced only to the scattering of time-harmonic electromagnetic waves by an imperfect conductor. We will now consider the scattering of electromagnetic waves by a penetrable orthotropic inhomogeneity embedded in a homogeneous background. As in the previous chapter, we will confine ourselves to the scalar case that corresponds to the scattering of electromagnetic waves by an orthotropic infinite cylinder. The direct scattering problem is now modeled by a transmission problem for the Helmholtz equation outside the scatterer and an equation with nonconstant coefficients inside the scatterer. This chapter is devoted to the analysis of the solution to the direct problem.
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Until now the reader has been introduced only to the scattering of time-harmonic electromagnetic waves by an imperfect conductor. We will now consider the scattering of electromagnetic waves by a penetrable orthotropic inhomogeneity embedded in a homogeneous background. As in the previous chapter, we will confine ourselves to the scalar case that corresponds to the scattering of electromagnetic waves by an orthotropic infinite cylinder. The direct scattering problem is now modeled by a transmission problem for the Helmholtz equation outside the scatterer and an equation with nonconstant coefficients inside the scatterer. This chapter is devoted to the analysis of the solution to the direct problem.
After a brief discussion of the derivation of the equations that govern the scattering of electromagnetic waves by an orthotropic infinite cylinder, we proceed to the solution to the corresponding transmission problem. The integral equation method used by Piana [136] and Potthast [137] to solve the forward problem in this case is only valid under restrictive assumptions. Hence, following [81], we propose here a variational method and find a solution to the problem in a larger space than the space of twice continuously differentiable functions. To build the analytical frame work for this variational method, we first extend the discussion of Sobolev spaces and weak solutions initiated in Sects. 1.5 and 3.3. This is followed by a proof of the celebrated Lax–Milgram lemma and an investigation of the Dirichlet-to-Neumann map. Included are several simple examples of the use of variational methods for solving boundary value problems. We conclude our chapter with a solvability result for the direct problem.
5.1 Maxwell Equations for an Orthotropic Medium
We begin by considering electromagnetic waves propagating in an inhomogeneous anisotropic medium in \({\mathbb{R}}^{3}\) with electric permittivity \( \epsilon \) = \( \epsilon \) (x), magnetic permeability μ = μ(x), and electric conductivity σ = σ(x). As the reader knows from Chap. 3, the electromagnetic wave is described by the electric field \(\mathcal{E}\) and the magnetic field H satisfying the Maxwell equations
For time-harmonic electromagnetic waves of the form
with frequency ω > 0, we deduce that the complex-valued space-dependent parts \(\tilde{E}\) and \(\tilde{H}\) satisfy
Now let us suppose that the inhomogeneity occupies an infinitely long conducting cylinder. Let D be the cross section of this cylinder having a C 2 boundary ∂ D, with ν being the unit outward normal to ∂ D. We assume that the axis of the cylinder coincides with the z-axis. We further assume that the conductor is imbedded in a nonconducting homogeneous background, i.e., the electric permittivity \( \epsilon \) 0 > 0, and the magnetic permeability μ 0 > 0 of the background medium is a positive constants, while the conductivity σ 0 = 0. Next we define
where \(\tilde{{E}}^{ext},\tilde{{H}}^{ext}\) and \(\tilde{{E}}^{int},\tilde{{H}}^{int}\) denote the electric and magnetic fields in the exterior medium and inside the conductor, respectively. For an orthotropic medium we have that the matrices \(\mathcal{A}\) and \(\mathcal{N}\) are independent of the z-coordinate and are of the form
In particular, the field E int, H int inside the conductor satisfies
and the field E ext, H ext outside the conductor satisfies
Across the boundary of the conductor we have the continuity of the tangential component of both the electric and magnetic fields. Assuming that \(\mathcal{A}\) is invertible, and using \(ik{E}^{int} = {\mathcal{A}}^{-1}\mbox{ curl}\,{H}^{int}\) and ikE ext = curl H ext, the Maxwell equations become
for the magnetic field inside the conductor and
for the magnetic field outside the conductor. If the scattering is due to a given time-harmonic incident field E i, H i, then we have that
where E s, H s denotes the scattered field. In general the incident field E i, H i is an entire solution to (5.2). In particular, in the case of incident plane waves, E i, H i is given by (3.4). The scattered field E s, H s satisfies the Silver–Müller radiation condition
uniformly in \(\hat{x} = x/\vert x\vert \) and r = | x |.
Now let us assume that the incident wave propagates perpendicular to the axis of the cylinder and is polarized perpendicular to the axis of the cylinder such that
By elementary vector analysis, it can be seen that (5.3) is equivalent to
where
Analogously, (5.4) is equivalent to the Helmholtz equation
The transmission conditions \(\nu \times ({H}^{s} + {H}^{i}) =\nu \times {H}^{int}\) and \(\nu \times \mbox{ curl}\,({H}^{s} + {H}^{i}) =\nu \times {\mathcal{A}}^{-1}\mbox{ curl}\,{H}^{int}\) on the boundary of the conductor become
Finally, the \({\mathbb{R}}^{2}\) analog of the Silver–Müller radiation condition is the Sommerfeld radiation condition
which holds uniformly in \(\hat{x} = x/\vert x\vert \).
Summarizing the foregoing discussion we have that the scattering of incident time-harmonic electromagnetic waves by an orthotropic cylindrical conductor is modeled by the following transmission problem in \({\mathbb{R}}^{2}\). Let \(D \subset {\mathbb{R}}^{2}\) be a nonempty, open, and bounded set having C 2 boundary ∂ D such that the exterior domain \({\mathbb{R}}^{2}\setminus \bar{D}\) is connected. The unit normal vector to ∂ D, which is directed into the exterior of D, is denoted by ν. On \(\bar{D}\) we have a matrix-valued function \(A:\bar{ D} \rightarrow {\mathbb{C}}^{2\times 2}\), \(A = (a_{jk})_{j,k=1,2}\), with continuously differentiable functions \(a_{jk} \in {C}^{1}(\bar{D})\). By \(\mbox{ Re}(A)\) we mean the matrix-valued function having as entries the real parts Re(a jk ), and we define Im(A) similarly. We suppose that Re(A(x)) and Im(A(x)), \(x \in \bar{ D}\), are symmetric matrices that satisfy \(\bar{\xi }\cdot \mbox{ Im}(A)\,\xi \, \leq 0\) and \(\bar{\xi }\cdot \mbox{ Re}(A)\,\xi \geq \gamma \vert \xi {\vert }^{2}\) for all \(\xi \in {\mathbb{C}}^{3}\) and \(x \in \overline{D}\), where γ is a positive constant. Note that due to the symmetry of A, \(\mbox{ Im}\left (\,\bar{\xi }\cdot A\,\xi \,\right ) =\bar{\xi } \cdot \mbox{ Im}(A)\,\xi\) and \(\mbox{ Re}\left (\,\bar{\xi }\cdot A\,\xi \,\right ) =\bar{\xi } \cdot \mbox{ Re}(A)\,\xi\). We further assume that \(n \in C(\bar{D})\), with Im(n) ≥ 0.
For functions \(u \in {C}^{1}({\mathbb{R}}^{2}\setminus D)\) and \(v \in {C}^{1}(\bar{D})\) we define the normal and conormal derivative by
and
respectively. Then the scattering of a time-harmonic incident field u i by an orthotropic inhomogeneity in \({\mathbb{R}}^{2}\) can be mathematically formulated as the problem of finding v, u such that
The aim of this chapter is to establish the existence of a unique solution to the scattering problem (5.8)–(5.12). In most applications the material properties of the inhomogeneity do not change continuously to those of the background medium, and hence the integral equation methods used in [136] and [137] are not applicable. Therefore, we will introduce a variational method to solve our problem. Since variational methods are well suited to Hilbert spaces, in the next section we reformulate our scattering problem in appropriate Sobolev spaces. To this end, we need to extend the discussion on Sobolev spaces given in Sect. 1.5.
5.2 Mathematical Formulation of Direct Scattering Problem
In the context of variational methods, one naturally seeks a solution to a linear second-order elliptic boundary value problem in the space of functions that are square integrable and have square integrable first partial derivatives. Let D be an open, nonempty, bounded, simply connected subset of \({\mathbb{R}}^{2}\) with smooth boundary ∂ D. In Sect. 1.5 we introduced the Sobolev spaces H 1(D), \({H}^{\frac{1} {2} }(\partial D)\), and \({H}^{-\frac{1} {2} }(\partial D)\). The reader has already encountered the connection between \({H}^{\frac{1} {2} }(\partial D)\) and H 1(D), that is, \({H}^{\frac{1} {2} }(\partial D)\) is the trace space of H 1(D). More specifically, for functions defined in \(\bar{D}\) the values on the boundary are defined and the restriction of the function to the boundary ∂ D is called the trace. The operator mapping a function onto its trace is called the trace operator. Theorem 1.38 states that the trace operator can be extended as a continuous mapping \(\gamma _{0}: {H}^{1}(D) \rightarrow {H}^{\frac{1} {2} }(\partial D)\), and this extension has a continuous right inverse (see also Theorem 3.37 in [127]). The latter means that for any \(f \in {H}^{\frac{1} {2} }(\partial D)\) there exists a u ∈ H 1(D) such that γ 0 u = f and \(\|u\|_{{H}^{1}(D)} \leq C\|f\|_{{ H}^{\frac{1} {2} }(\partial D)}\), where C is a positive constant independent of f. (Map D in a one-to-one manner onto the unit disk, and use separation of variables to determine u as a solution to the Dirichlet problem for Laplace’s equation. Then map back to D.)
For any integer r ≥ 0 we let
and put
In Sect. 1.5, H 1(D) is naturally defined as the completion of \({C}^{1}(\bar{D})\) with respect to the norm
Note that H 1(D) is a Hilbert space with the inner product
It can be shown that \({C}^{\infty }(\bar{D})\) is dense in H 1(D). The proof of this result can be found in [127].
Since H 1(D) is a subspace of L 2(D), we can consider the embedding map \(\mathcal{I}: {H}^{1}(D) \rightarrow {L}^{2}(D)\) defined by \(\mathcal{I}(u) = u \in {L}^{2}(D)\) for u ∈ H 1(D). Obviously, \(\mathcal{I}\) is a bounded linear operator. The following two lemmas are particular cases of the well-known Rellich compactness theorem.
Lemma 5.1.
The embedding \(\mathcal{I}: {H}^{1}(D) \rightarrow {L}^{2}(D)\) is compact.
In the sequel, we also need to consider the Sobolev space H 2(D), which is the space of functions u ∈ H 1(D) such that u x and u y are also in H 1(D). Similarly, H 2(D) can be defined as the completion of \({C}^{2}(\bar{D})\) [or \({C}^{\infty }(\bar{D})\)] with respect to the norm
Lemma 5.2.
The embedding \(\mathcal{I}: {H}^{2}(D) \rightarrow {H}^{1}(D)\) is a compact operator.
The proof of the Rellich compactness theorem can be found, for instance, in [72] or [127]. For the special case of H p[0, 2π] this result is proved in Theorem 1.32.
We now define
where
and the support of u, denoted by supp u, is the closure in D of the set {x ∈ D: u(x) ≠ 0}. The completion of C 0 ∞(D) in H 1(D) is denoted by H 0 1(D) and can be characterized by
where u| ∂D is understood in the sense of the trace operator γ 0 u. This space equipped with the inner product of H 1(D) is also a Hilbert space. The following inequality, known as Poincaré’s inequality, holds for functions in H 0 1(D).
Theorem 5.3 (Poincaré’s Inequality).
There exists a positive constant M such that for every u ∈ H 0 1 (D) we have
where M is independent of u but depends on D.
Proof.
We first assume that u ∈ C 0 1(D). Since D is bounded, it can be enclosed in a square \(\varGamma:=\{ \vert x_{i}\vert \leq a,i = 1,2\}\), and u will continue to be identically zero outside D. Then for any x = (x 1, x 2) ∈ Γ we have, using the Cauchy–Schwarz inequality, that
and hence
Now integrate with respect to x 2 from − a to a to obtain
The theorem now follows from the fact that C 0 1(D) is dense in H 0 1(D).
Remark 5.4.
It can be shown that the optimal constant M in the preceding Poincaré’s inequality is equal to 1∕λ 0(D), where λ 0(D) is the first Dirichlet eigenvalue for −Δ in D (cf. [95]).
Remark 5.5.
Our presentation of Sobolev spaces is by no means complete. A systematic treatment of Sobolev spaces requires the use of the Fourier transform and distribution theory, and we refer the reader to Chap. 3 in [127] for this material.
For later use we recall the following classical result from real analysis.
Lemma 5.6.
Let G be a closed subset of \({\mathbb{R}}^{2}\) . For each \( \epsilon \) > 0 there exists a \(\chi _{\epsilon } \in {C}^{\infty }({\mathbb{R}}^{2})\) satisfying
where dist(x,G) denotes the distance of x from G.
The function \( \chi \epsilon \)(x) defined in the preceding lemma is called a cutoff function for G. It is used to smooth out the characteristic function of a set.
Keeping in mind the solution to the scattering problem in Sect. 5.1, we now extend the definition of the conormal derivative ∂ u∕∂ ν A to functions u ∈ H 1(D, Δ A ), where
equipped with the graph norm
In particular, we have the following trace theorem.
Theorem 5.7.
The mapping \(\gamma _{1}: u \rightarrow \partial u/\partial \nu _{A}:=\nu \cdot A\nabla u\) defined in \({C}^{\infty }(\bar{D})\) can be extended by continuity to a linear and continuous mapping, still denoted by γ 1 , from H 1 (D,Δ A ) to \({H}^{-\frac{1} {2} }(\partial D)\) .
Proof.
Let \(\phi \in {C}^{\infty }(\bar{D})\) and \(u \in {C}^{\infty }(\bar{D})\). The divergence theorem then becomes
Because \({C}^{\infty }(\bar{D})\) is dense in H 1(D), this equality is still valid for ϕ ∈ H 1(D) and \(u \in {C}^{\infty }(\bar{D})\). Therefore,
where C is a positive constant independent of ϕ and u but dependent on A and D. Now let f be an element of \({H}^{\frac{1} {2} }(\partial D)\). There exists a ϕ ∈ H 1(D) such that γ 0 ϕ = f, where γ 0 is the trace operator on ∂ D. Then the preceding inequality implies that
Therefore, the mapping
defines a continuous linear functional and
Thus, the linear mapping γ 1: u → ν ⋅ A∇u defined on \({C}^{\infty }(\bar{D})\) is continuous with respect to the norm of H 1(D, Δ A ). Since \({C}^{\infty }(\bar{D})\) is dense in H 1(D, Δ A ), γ 1 can be extended by continuity to a bounded linear mapping (still called γ 1) from H 1(D, Δ A ) to \({H}^{-\frac{1} {2} }(\partial D)\).
As a consequence of the preceding theorem we can now extend the divergence theorem to a wider space of functions.
Corollary 5.8.
Let u ∈ H 1 (D) such that ∇⋅ A∇u ∈ L 2 (D) and v ∈ H 1 (D). Then
Remark 5.9.
With the help of a cutoff function for a neighborhood of ∂ D we can, in a way similar to that in Theorem 5.7, define ∂ u∕∂ ν A for \(u \in H_{loc}^{1}({\mathbb{R}}^{2}\setminus \bar{D})\) such that \(\nabla \cdot A\nabla v \in L_{loc}^{2}({\mathbb{R}}^{2}\setminus \bar{D})\) (see Sect. 3.3 for the definition of H loc 1-spaces).
Remark 5.10.
Setting A = I in Theorem 5.7 and Corollary 5.8 we have that ∂ u∕∂ ν is well defined in \({H}^{-\frac{1} {2} }(\partial D)\) for functions \(u \in {H}^{1}(D,\varDelta ):=\{ u \in {H}^{1}(D):\;\varDelta u \in {L}^{2}(D)\}\). Furthermore, the following Green’s identity holds:
In particular, Theorem 3.1 and Eq. (3.41) are valid for H 1-solutions to the Helmholtz equation.
We are now ready to formulate the direct scattering problem for an orthotropic medium in \({\mathbb{R}}^{2}\) in suitable Sobolev spaces. Assume that A, n, and D satisfy the assumptions of Sect. 5.1. Given \(f \in {H}^{\frac{1} {2} }(\partial D)\) and \(h \in {H}^{-\frac{1} {2} }(\partial D)\), find \(u \in H_{loc}^{1}({\mathbb{R}}^{2}\setminus \overline{D})\) and v ∈ H 1(D) such that
The scattering problem (5.8)–(5.12) is a special case of (5.13)–(5.17). In particular, the scattered field u s and the interior field v satisfy (5.13)–(5.17) with u = u s, f = u i| ∂D , and \(h:= \left.\frac{\partial {u}^{i}} {\partial \nu } \right \vert _{\partial D}\), where the incident wave u i is such that
Note that the boundary conditions (5.15) and (5.16) are assumed in the sense of the trace operator, as discussed previously, and u and v satisfy (5.13) and (5.14), respectively, in the weak sense. The reader already encountered in Sect. 3.3 the concept of a weak solution in the context of the impedance boundary value problem for the Helmholtz equation. In the next section we provide a more systematic discussion of weak solutions and variational methods for finding weak solutions of boundary value problems.
5.3 Variational Methods
We will start this section with an important result from functional analysis, namely, the Lax–Milgram lemma. Let X be a Hilbert space with norm \(\|\cdot \|\) and inner product (⋅, ⋅).
Definition 5.11.
A mapping \(a(\cdot,\,\cdot ): X \times X \rightarrow \mathbb{C}\) is called a sesquilinear form if
with the bar denoting the complex conjugation.
Definition 5.12.
A mapping \(F: X \rightarrow \mathbb{C}\) is called a conjugate linear functional if
As will be seen later, we will be interested in solving the following problem:
given a conjugate linear functional \(F: X \rightarrow \mathbb{C}\) and a sesquilinear form a(⋅, ⋅) on X × X, find u ∈ X such that
The solution to this problem is provided by the following lemma.
Theorem 5.13 (Lax–Milgram Lemma).
Assume that \(a: X \times X \rightarrow \mathbb{C}\) is a sesquilinear form (not necessarily symmetric) for which there exist constants α, β > 0 such that
and
Then for every bounded conjugate linear functional \(F: X \rightarrow \mathbb{C}\) there exists a unique element u ∈ X such that
Furthermore, \(\|u\| \leq C\|F\|\) , where C > 0 is a constant independent of F.
Proof.
For each fixed element u ∈ X the mapping v → a(u, v) is a bounded conjugate linear functional on X, and hence the Riesz representation theorem asserts the existence of a unique element w ∈ X satisfying
Thus we can define an operator A: X → X mapping u to w such that
-
1.
We first claim that A: X → X is a bounded linear operator. Indeed, if \(\lambda _{1},\lambda _{2} \in \mathbb{C}\) and u 1, u 2 ∈ X, then we see, using the properties of the inner product in a Hilbert space, that for each v ∈ X we have
$$\displaystyle\begin{array}{rcl} \left (A(\lambda _{1}u_{1} +\lambda _{2}u_{2}),v\right )& =& a((\lambda _{1}u_{1} +\lambda _{2}u_{2}),v) {}\\ & =& \lambda _{1}a(u_{1},v) +\lambda _{2}a(u_{2},v) {}\\ & =& \lambda _{1}(Au_{1},v) +\lambda _{2}(Au_{2},v) {}\\ & =& \left (\lambda _{1}Au_{1} +\lambda _{2}Au_{2},v\right ). {}\\ \end{array}$$Since this holds for arbitrary u 1, u 2, v ∈ X, and \(\lambda _{1},\lambda _{2} \in \mathbb{C}\), we have established linearity. Furthermore,
$$\displaystyle{\|A{u\|}^{2} = (Au,Au) = a(u,Au) \leq \alpha \| u\|\;\|Au\|.}$$Consequently, \(\|Au\| \leq \alpha \| u\|\) for all u ∈ X, and so A is bounded.
-
2.
Next we show that A is one-to-one and the range of A is equal to X. To prove this, we compute
$$\displaystyle{\beta \|{u\|}^{2} \leq \vert a(u,u)\vert = \vert (Au,u)\vert \leq \| Au\|\;\|u\|.}$$Hence, \(\beta \|u\| \leq \| Au\|\). This inequality implies that A is one-to-one and the range of A is closed in X. Now let w ∈ A(X)⊥, and observe that \(\beta \|{w\|}^{2} \leq a(w,w) = (Aw,w) = 0\), which implies that w = 0. Since A(X) is closed, we can now conclude that A(X) = X.
-
3.
Next, once more from the Riesz representation theorem, there exists a unique \(\tilde{w} \in X\) such that
$$\displaystyle{F(v) = (\tilde{w},v)\qquad \mbox{ for all}\quad v \in X}$$and \(\|\tilde{w}\| =\| F\|\). We then use part 2 of this proof to find a u ∈ X satisfying \(Au =\tilde{ w}\). Then
$$\displaystyle{a(u,v) = (Au,v) = (\tilde{w},v) = F(v)\qquad \mbox{ for all}\quad v \in X,}$$which proves the solvability of (5.21). Furthermore, we have that
$$\displaystyle{\|u\| \leq \frac{1} {\beta } \|Au\| = \frac{1} {\beta } \|\tilde{w}\| = \frac{1} {\beta } \|F\|.}$$ -
4.
Finally, we show that there is at most one element u ∈ X satisfying (5.21). If there exist u ∈ X and \(\tilde{u} \in X\) such that
$$\displaystyle{a(u,v) = F(v)\quad \mbox{ and}\quad a(\tilde{u},v) = F(v)\qquad \mbox{ for all}\quad v \in X,}$$then
$$\displaystyle{a(u -\tilde{ u},v) = 0\qquad \mbox{ for all}\quad v \in X.}$$Hence, setting \(v = u -\tilde{ u}\) we obtain
$$\displaystyle{\beta \|u -\tilde{ {u}\|}^{2} \leq a(u -\tilde{ u},u -\tilde{ u}) = 0,}$$whence \(u =\tilde{ u}\).
⊓⊔
Remark 5.14.
If a sesquilinear form a(⋅, ⋅) satisfies (5.19), then it is said that a(⋅, ⋅) is continuous. A sesquilinear form a(⋅, ⋅) satisfying (5.20) is called strictly coercive.
Example 5.15.
As an example of an application of the Lax–Milgram lemma we consider the existence of a unique weak solution to the Dirichlet problem for the Poisson equation: given \(f \in {H}^{\frac{1} {2} }(\partial D)\) and ρ ∈ L 2(D), find u ∈ H 1(D) such that
To motivate the definition of a H 1(D) weak solution to the preceding Dirichlet problem, let us consider first \(u \in {C}^{2}(D) \cap {C}^{1}(\bar{D})\) satisfying \(\varDelta u = -\rho\). Multiplying \(\varDelta u = -\rho\) by \(\bar{v} \in C_{0}^{\infty }(D)\) and using Green’s first identity we obtain
which makes sense for u ∈ H 1(D) and v ∈ H 0 1(D) as well. Note that the boundary terms disappear when we apply Green’s identity due to the fact that v = 0 on ∂ D. Now we will use (5.23) to define a weak solution. To this end, we set X = H 0(D) and define
In particular, it is clear that
Furthermore, from Poincaré’s inequality there exists a constant C > 0 depending only on D such that
whence a(⋅, ⋅) satisfies the assumptions of the Lax–Milgram lemma.
Now let u 0 ∈ H 1(D) be such that u 0 = f on ∂ D and \(\|u_{0}\|_{{H}^{1}(D)} \leq C\|f\|_{{ H}^{\frac{1} {2} }(\partial D)}\). If u = f on ∂ D, then \(u - u_{0} \in H_{0}^{1}(D)\). Next we examine the following problem.
Find u ∈ H 1 (D) such that
A solution to (5.24) is called a weak solution of the Dirichlet problem (5.22), and (5.24) is called the variational form of (5.22).
Since a(⋅, ⋅) is continuous, the mapping \(F: v \rightarrow -a(u_{0},v) + (\rho,v)_{{L}^{2}(D)}\) is a bounded conjugate linear functional on H 0 1(D). Therefore, from the Lax–Milgram lemma, (5.24) has a unique solution u ∈ H 1(D) that satisfies
where the constant \(\tilde{C} > 0\) is independent of f and ρ.
Obviously, any \({C}^{2}(D) \cap {C}^{1}(\bar{D})\) solution to the Dirichlet problem is a weak solution. Conversely, if the weak solution u is smooth enough (which depends on the smoothness of ∂ D, f, and ρ – see [127]), then the weak solution satisfies (5.22) pointwise. Indeed, taking a function v ∈ C 0 ∞(D) in (5.24) we see that
and hence \(\varDelta u = -\rho\) almost everywhere in D. Furthermore, \(u - u_{0} \in H_{0}^{1}(D)\) if and only if u = u 0 on ∂ D, whence u = f on ∂ D.
We now return to the abstract variational problem (5.18) and consider it in the following form: find u ∈ X such that
where X is a Hilbert space, \(a,b: X \times X \rightarrow \mathbb{C}\) are two continuous sesquilinear forms, and F is a bounded conjugate linear functional on X. In addition:
-
1.
Assume that the continuous sesquilinear form a(⋅, ⋅) is strictly coercive, i.e., \(a_{1}(u,u) \geq \alpha \| {u\|}^{2}\) for some positive constant α. From the Lax–Milgram lemma we then have that there exists a bijective bounded linear operator A: X → X with bounded inverse satisfying
$$\displaystyle{a(u,v) = (Au,v)\qquad \mbox{ for all}\quad v \in X.}$$ -
2.
Let us denote by B the bounded linear operator from X to X defined by
$$\displaystyle{b(u,v) = (Bu,v)\qquad \mbox{ for all}\quad v \in X.}$$The existence and the continuity of B are guaranteed by the Riesz representation theorem (see also the first part of the proof of the Lax–Milgram lemma). We further assume that the operator B is compact.
-
3.
Finally, let w ∈ X be such that
$$\displaystyle{F(v) = (w,v)\qquad \mbox{ for all}\quad v \in X,}$$which is uniquely provided by the Riesz representation theorem.
Under assumptions 1–3, (5.25) equivalently reads as follows:
Theorem 5.16.
Let X and Y be two Hilbert spaces, and let A: X → Y be a bijective bounded linear operator with bounded inverse A −1 : Y → X, and B: X → Y a compact linear operator. Then A + B is injective if and only if it is surjective. If A + B is injective (and hence bijective), then the inverse \({(A + B)}^{-1}: Y \rightarrow X\) is bounded.
Proof.
Since A −1 exists, we have that \(A + B = A(I - (-{A}^{-1})B)\). Furthermore, since A is a bijection, \((I - (-{A}^{-1})B)\) is injective and surjective if and only if A + B is injective and surjective. Next we observe that \((-{A}^{-1})B\) is a compact operator since it is the product of a compact operator and a bounded operator. The result of the theorem now follows from Theorem 1.21 and the fact that \({(A + B)}^{-1} = {(I - (-{A}^{-1})B)}^{-1}{A}^{-1}\).
Example 5.17.
Consider now the Dirichlet problem for the Helmholtz equation in a bounded domain D: Given \(f \in {H}^{\frac{1} {2} }(\partial D)\), find u ∈ H 1(D) such that
where k is real. Following Example 5.15, we can write this problem in the following variational form: find u ∈ H 1 (D) such that
where u 0 is a function in H 1(D) such that u 0 = f on ∂ D and \(\|u_{0}\|_{{H}^{1}(D)} \leq C\|f\|_{{ H}^{\frac{1} {2} }(\partial D)}\), and the sesquilinear form a(⋅, ⋅) is defined by
Obviously, a(⋅, ⋅) is continuous but not strictly coercive. Defining
and
we have that
where now a 1(⋅, ⋅) is strictly coercive in \(H_{0}^{1}(D) \times H_{0}^{1}(D)\) (Example 5.15). Let \(A: H_{0}^{1}(D) \rightarrow H_{0}^{1}(D)\) and \(B: H_{0}^{1}(D) \rightarrow H_{0}^{1}(D)\) be bounded linear operators defined by (Au, v) = a 1(u, v) and
respectively. In particular, A is bounded and has a bounded inverse. We claim that \(B: H_{0}^{1}(D) \rightarrow H_{0}^{1}(D)\) is compact. To see this, we first note that
and hence \(\|Bu\|_{{H}^{1}(D)} \leq \| u\|_{{L}^{2}(D)}\). Now let \(\{u_{j}\} \subset H_{0}^{1}(D)\) be such that \(\|u_{j}\|_{H_{0}^{1}(D)} \leq C\) for some positive constant C independent of j. Then, since by Rellich’s theorem H 1(D), and hence H 0 1(D), is compactly embedded in L 2(D), we have that there exists a subsequence, still denoted by {u j }, such that {u j } is strongly convergent in L 2(D), i.e., {u j } is a Cauchy sequence in L 2(D). Since \(\|Bu\|_{{H}^{1}(D)}\) is bounded by \(\|u\|_{{L}^{2}(D)}\), we have that \(\left \{Bu_{j}\right \}\) is a Cauchy sequence in H 0 1(D), and hence \(\left \{Bu_{j}\right \}\) is strongly convergent. This now implies that B is compact, as claimed.
We can now apply Theorem 5.16 to (5.28). In particular, the injectivity of A − k 2 B implies the existence of a unique solution to (5.28). The injectivity of A − k 2 B is equivalent to the fact that the only function u ∈ H 0 1(D) that satisfies
is u ≡ 0. This is the uniqueness question for a weak solution to the Dirichlet boundary value problem for the Helmholtz equation. The values of k 2 for which there exists a nonzero function u ∈ H 0 1(D) satisfying
(in the weak sense) are called the Dirichlet eigenvalues of −Δ and the corresponding nonzero solutions are called the eigensolutions for −Δ. Note that the zero boundary condition is incorporated in the space H 0 1(D).
Summarizing the preceding analysis, we have shown that if k 2 is not a Dirichlet eigenvalue for −Δ, then (5.27) has a unique solution in H 1(D).
Theorem 5.18.
There exists an orthonormal basis u j for H 0 1 (D) consisting of eigensolutions for −Δ. The corresponding eigenvalues k 2 are all positive and accumulate only at + ∞.
Proof.
In Example 5.17 we showed that u ∈ H 0 1(D) satisfies
if and only if u is a solution to the operator equation \(Au - {k}^{2}Bu = 0\), where \(A: H_{0}^{1}(D) \rightarrow H_{0}^{1}(D)\) and \(B: H_{0}^{1}(D) \rightarrow H_{0}^{1}(D)\) are the bijective operator and compact operator, respectively, constructed in Example 5.17. Since A is a positive definite operator, the equation \(Au - {k}^{2}Bu = 0\) can be written as (see [115] for the existence of the operator \({A}^{\frac{1} {2} }\))
It is easily verified that A (and hence \({A}^{-\frac{1} {2} }\)) is self-adjoint. Since B is self-adjoint, we can conclude that \({A}^{-\frac{1} {2} }B{A}^{-\frac{1} {2} }\) is self-adjoint. Now noting that \({A}^{-\frac{1} {2} }B{A}^{-\frac{1} {2} }: H_{0}^{1}(D) \rightarrow H_{0}^{1}(D)\) is compact since it is a product of a compact operator and bounded operators, the result follows from the Hilbert–Schmidt theorem.
Remark 5.19.
The results of Examples 5.15 and 5.17 are valid as well if D is not simply connected, i.e., \({\mathbb{R}}^{2}\setminus \bar{D}\) is not connected.
The boundary value problems arising in scattering theory are formulated in unbounded domains. To solve such problems using variational techniques developed in this section, we need to write them as equivalent problems in a bounded domain. In particular, introducing a large open disk Ω R centered at the origin that contains \(\bar{D}\), where D is the support of the scatterer, we first solve the problem in \(\varOmega _{R}\setminus \bar{D}\) (or in Ω R in the case of transmission problems) using variational methods. Having solved this problem, we then want to extend the solution outside Ω R to a solution to the original problem. The main question here is what boundary condition should we impose on the artificial boundary ∂ Ω R to enable such an extension. To find the appropriate boundary conditions on ∂ Ω R , we introduce the Dirichlet-to-Neumann map. We first formalize the definition of a radiating solution to the Helmholtz equation.
Definition 5.20.
A solution u to the Helmholtz equation whose domain of definition contains the exterior of some disk is called radiating if it satisfies the Sommerfeld radiation condition
where r = | x | and the limit is assumed to hold uniformly in all directions x∕ | x |.
Definition 5.21.
The Dirichlet-to-Neumann map T is defined by
where w is a radiating solution to the Helmholtz equation \(\varDelta w + {k}^{2}w = 0\), ∂ Ω R is the boundary of some disk of radius R, and ν is the outward unit normal to ∂ Ω R .
Taking advantage of the fact that Ω R is a disk, by separating variables as in Sect. 3.2 we can find a solution to the exterior Dirichlet problem outside Ω R in the form of a series expansion involving Hankel functions. Making use of this expansion we can establish the following important properties of the Dirichlet-to-Neumann map.
Theorem 5.22.
The Dirichlet-to-Neumann map T is a bounded linear operator from \({H}^{\frac{1} {2} }(\partial \varOmega _{R})\) to \({H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) . Furthermore, there exists a bounded operator \(T_{0}: {H}^{\frac{1} {2} }(\partial \varOmega _{R}) \rightarrow {H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) satisfying
for some constant C > 0 such that \(T - T_{0}: {H}^{\frac{1} {2} }(\partial \varOmega _{R}) \rightarrow {H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) is compact.
Proof.
Let w be a radiating solution to the Helmholtz equation outside Ω R , and let (r, θ) denote polar coordinates in \({\mathbb{R}}^{2}\). Then from Sect. 3.2 we have that
where H n (1)(kr) are the Hankel functions of the first kind of order n. Hence T maps the Dirichlet data of \(w\vert _{\partial \varOmega _{R}}\) given by
with coefficients \(a_{n}:=\alpha _{n}H_{n}^{(1)}(kR)\) onto the corresponding Neumann data given by
where
The Hankel functions and their derivatives do not have real zeros since otherwise the Wronskian (3.22) would vanish. From this we observe that T is bijective. In view of the asymptotic formulas for the Hankel functions developed in Sect. 3.2 we see that
and some constants 0 < c 1 < c 2. From this the boundness of \(T: {H}^{\frac{1} {2} }(\partial \varOmega _{R}) \rightarrow {H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) is obvious since from Theorem 1.33 for \(p \in \mathbb{R}\) the norm on H p(∂ Ω R ) can be described in terms of the Fourier coefficients
For the limiting operator \(T_{0}: {H}^{\frac{1} {2} }(\partial \varOmega _{R}) \rightarrow {H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) given by
we clearly have
with the integral to be understood as the duality pairing between \({H}^{\frac{1} {2} }(\partial \varOmega _{R})\) and \({H}^{-\frac{1} {2} }(\partial \varOmega _{R})\). Hence
for some constant C > 0. Finally, from the series expansions for the Bessel and Neumann functions (Sect. 3.2) for fixed k we derive
This implies that T − T 0 is compact from \({H}^{\frac{1} {2} }(\partial \varOmega _{R})\) into \({H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) since it is bounded from \({H}^{\frac{1} {2} }(\partial \varOmega _{R})\) into \({H}^{\frac{1} {2} }(\partial \varOmega _{R})\) and the embedding from \({H}^{\frac{1} {2} }(\partial \varOmega _{R})\) into \({H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) is compact by Rellich’s Theorem 1.32. This proves the theorem.
Example 5.23.
We consider the problem of finding a weak solution to the exterior Dirichlet problem for the Helmholtz equation: given \(f \in {H}^{\frac{1} {2} }(\partial D)\), find \(u \in H_{loc}^{1}({\mathbb{R}}^{2}\setminus \bar{D})\) such that
Instead of (5.30) we solve an equivalent problem in the bounded domain \(\varOmega _{R}\setminus \bar{D}\), that is, we find \(u \in {H}^{1}(\varOmega _{R}\setminus \bar{D})\) such that
where \(f \in {H}^{\frac{1} {2} }(\partial D)\) is the given boundary data, T is the Dirichlet-to-Neumann map, and Ω R is a large disk containing \(\bar{D}\).
Lemma 5.24.
Problems (5.30) and (5.31) are equivalent.
Proof.
First let \(u \in H_{loc}^{1}({\mathbb{R}}^{2}\setminus \bar{D})\) be a solution to (5.30). Then the restriction of u to \(\varOmega _{R}\setminus \bar{D}\) is in \({H}^{1}(\varOmega _{R}\setminus \bar{D})\) and is a solution to (5.31). Conversely, let \(u \in {H}^{1}(\varOmega _{R}\setminus \bar{D})\) be a solution to (5.31). To define u in all of \({\mathbb{R}}^{2}\setminus \bar{D}\), we construct the radiating solution \(\tilde{u}\) of the Helmholtz equation outside Ω R such that \(\tilde{u} = u\) on ∂ Ω R . This solution can be constructed in the form of a series expansion in terms of Hankel functions in the same way as in the proof of Theorem 5.22. Hence we have that \(Tu = \frac{\partial \tilde{u}} {\partial \nu }\). Using Green’s second identity for the radiating solution \(\tilde{u}\) and the fundamental solution Φ(x, y) (which is also a radiating solution) we obtain that
Consequently, the representation formula (3.41) (Remark 6.29) and the fact that \(\frac{\partial u} {\partial \nu } = Tu\) imply
Therefore, u coincides with the radiating solution to the Helmholtz equation in the exterior of \(\bar{D}\). Hence a solution of (5.30) can be derived from a solution to (5.31).
Next we formulate (5.31) as a variational problem. To this end, we define the Hilbert space
and the sesquilinear from a(⋅, ⋅) by
which is obtained by multiplying the Helmholtz equation in (5.31) by a test function v ∈ X, integrating by parts, and using the boundary condition \(\partial u/\partial \nu = Tu\) on ∂ Ω R and the zero boundary condition on ∂ D. Now let \(u_{0} \in {H}^{1}(\varOmega _{R}\setminus \bar{D})\) be such that u 0 = f on ∂ D. Then the variational formulation of (5.31) reads: find \(u \in {H}^{1}(\varOmega _{R}\setminus \bar{D})\) such that
To analyze (5.32) we define
and
where T 0 is the operator defined in Theorem 5.22, and write the equation in (5.32) as
with F(v): = a(u 0, v). Since T is a bounded operator from \({H}^{\frac{1} {2} }(\partial \varOmega _{R})\) to \({H}^{-\frac{1} {2} }(\partial \varOmega _{R})\), F is a bounded conjugate linear functional on X and both a 1(⋅, ⋅) and a 2(⋅, ⋅) are continuous on X × X. In addition, using (5.29), we see that
Note that including a L 2-inner product term in a 1(⋅, ⋅) is important since the Poincaré inequality no longer holds in X. Furthermore, due to the compact embedding of \({H}^{1}(\varOmega _{R}\setminus \bar{D})\) into \({L}^{2}(\varOmega _{R}\setminus \bar{D})\) and the fact that \(T - T_{0}: {H}^{\frac{1} {2} }(\partial \varOmega _{R}) \rightarrow {H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) is compact, a 2(⋅, ⋅) gives rise to a compact operator B: X → X (Example 5.17). Hence from Theorem 5.16 we conclude that the uniqueness of a solution to (5.31) implies the existence of a solution to (5.31) and, consequently, from Lemma 5.24 the existence of a weak solution to (5.30). To prove the uniqueness of a solution to (5.31) we first observe that according to Lemma 5.24 a solution to the homogeneous problem (5.31) (f = 0) can be extended to a solution to the homogeneous problem (5.30). Now let u be a solution to the homogeneous problem (5.30). Then Green’s first identity and the boundary condition imply
whence
From Theorem 3.6 we conclude that u = 0 in \({\mathbb{R}}^{2}\setminus \bar{D}\), which proves the uniqueness and, therefore, the existence of a unique weak solution to the exterior Dirichlet problem for the Helmholtz equation. Note that in the preceding proof of uniqueness we have used the fact that off the boundary a \(H_{loc}^{1}({\mathbb{R}}^{2}\setminus \bar{D})\) solution to the Helmholtz equation is real-analytic. This can be seen from the Green representation formula as in Theorem 3.2, which is also valid for radiating solutions to the Helmholtz equation in \(H_{loc}^{1}({\mathbb{R}}^{2}\setminus \bar{D})\) (Remark 6.29).
In this section we have developed variational techniques for finding weak solutions to boundary value problems for partial differential equations. As the reader has already seen, in scattering problems the boundary conditions are typically the traces of real-analytic solutions, for example, plane waves. Hence, provided that the boundary of the scattering object is smooth, one would expect that the scattered field would not, in fact, be smooth. It can be shown that if the boundary, the boundary conditions, and the coefficients of the equations are smooth enough, then a weak solution is in fact C 2 inside the domain and C 1 up to the boundary. This general statement falls in the class of so-called regularity results for the solutions of boundary value problems for elliptic partial differential equations. Precise formulation of such results can be found in any classic book of partial differential equations (cf. [72] and [127]).
5.4 Solution of Direct Scattering Problem
We now turn our attention to the main goal of this chapter, the solution to the scattering problem (5.13)–(5.17). Following Hähner [81], we shall use the variational techniques developed in Sect. 5.3 to find a solution to this problem. To arrive at a variational formulation of (5.13)–(5.17), we introduce a large open disk Ω R centered at the origin containing \(\bar{D}\) and consider the following problem: given \(f \in {H}^{\frac{1} {2} }(\partial D)\) and \(h \in {H}^{-\frac{1} {2} }(\partial D)\), find \(u \in {H}^{1}(\varOmega _{R}\setminus \bar{D})\) and v ∈ H 1(D) such that
where T is the Dirichlet-to-Neumann operator defined in Definition 5.21.
We note that exactly in the same way as in the proof of Lemma 5.24 one can show that a solution u, v to (5.35)–(5.39) can be extended to a solution to the scattering problem (5.13)–(5.17) and, conversely, a solution u, v to the scattering problem (5.13)–(5.17) is such that v and u restricted to \(\varOmega _{R}\setminus \bar{D}\) solve (5.35)–(5.39).
Next let \(u_{f} \in {H}^{1}(\varOmega _{R}\setminus \bar{D})\) be the unique solution to the following Dirichlet boundary value problem:
The existence of a unique solution to this problem is shown in Example 5.17 (see also Remark 5.19). Note that we can always choose Ω R such that k 2 is not a Dirichlet eigenvalue for −Δ in \(\varOmega _{R}\setminus \bar{D}\). An equivalent variational formulation of (5.35)–(5.39) is as follows: find w ∈ H 1(Ω R ) such that
for all ϕ ∈ H 1(Ω R ). With the help of Green’s first identity (Corollary 5.8 and Remark 6.29) it is easy to see that v: = w| D and \(u:= w\vert _{\varOmega _{R}\setminus \bar{D}} - u_{f}\) satisfy (5.35)–(5.39). Conversely, multiplying the equations in (5.35)–(5.39) by a test function and using the transmission conditions one can show that w = v in D and \(w = u + u_{f}\) in \(\varOmega _{R}\setminus \bar{D}\) is such that w ∈ H 1(Ω R ) and satisfies (6.68), where v, u solve (5.35)–(5.39).
Next we define the following continuous sesquilinear forms on \({H}^{1}(\varOmega _{R}) \times {H}^{1}(\varOmega _{R})\):
and
where the operator T 0 is the operator defined in Theorem 5.22. Furthermore, we define the bounded conjugate linear functional F on H 1(Ω R ) by
Then (6.68) can be written as the problem of finding w ∈ H 1(Ω R ) such that
From the assumption \(\bar{\xi }\cdot \mbox{ Re}(A)\,\xi \geq \gamma \vert \xi {\vert }^{2}\) for all \(\xi \in {\mathbb{C}}^{3}\) and \(x \in \overline{D}\) and (5.29) we can conclude that the sesquilinear form a 1(⋅, ⋅) is strictly coercive. Hence, as a consequence of the Lax–Milgram lemma, the operator \(A: {H}^{1}(\varOmega _{R}) \rightarrow {H}^{1}(\varOmega _{R})\) defined by \(a_{1}(w,\phi ) = (Aw,\phi )_{{H}^{1}(\varOmega _{R})}\) is invertible with bounded inverse. Furthermore, due to the compact embedding of H 1(Ω R ) into L 2(Ω R ) and the fact that \(T - T_{0}: {H}^{\frac{1} {2} }(\partial \varOmega _{R}) \rightarrow {H}^{-\frac{1} {2} }(\partial \varOmega _{R})\) is compact (Theorem 5.22), we can show exactly in the same way as in Example 5.17 that the operator \(B: {H}^{1}(\varOmega _{R}) \rightarrow {H}^{1}(\varOmega _{R})\) defined by \(a_{2}(w,\phi ) = (Bw,\phi )_{{H}^{1}(\varOmega _{R})}\) is compact. Finally, by Theorem 5.16, the uniqueness of a solution to (5.35)–(5.39) implies that a solution exists.
Lemma 5.25.
The problems (5.35)–(5.39) and (5.13)–(5.17) have at most one solution.
Proof.
According to our previous remarks, a solution to the homogeneous problem (5.35)–(5.39) (\(f = h = 0\)) can be extended to a solution v ∈ H 1(D) and \(u \in H_{loc}^{1}({\mathbb{R}}^{2}\setminus \bar{D})\) to the homogeneous problem (5.13)–(5.17). Therefore, it suffices to prove uniqueness for (5.13)–(5.17). Green’s first identity and the transmission conditions imply that
Now since \(\bar{\xi }\cdot \mbox{ Im}(A)\,\xi \leq 0\) for all \(\xi \in {\mathbb{C}}^{2}\) and Im(n) > 0 for \(x \in \overline{D}\), we conclude that
which from Theorem 3.6 implies that u = 0 in \({\mathbb{R}}^{2}\setminus \bar{D}\). From the transmission conditions we can now conclude that v = 0 and \(\partial v/\partial \nu _{A} = 0\) on ∂ D.
To conclude that v = 0 in D, we employ a unique continuation principle. To this end, we extend Re(A) to a real, symmetric, positive definite, and continuously differentiable matrix-valued function in \(\overline{\varOmega }_{R}\) and Im(A) to a real, symmetric, continuously differentiable, matrix-valued function that is compactly supported in Ω R . We also choose a continuously differentiable extension of n into \(\overline{\varOmega }_{R}\) and define v = 0 in \(\varOmega _{R}\setminus \bar{D}\). Since v = 0 and \(\partial v/\partial \nu _{A} = 0\) on ∂ D, then v ∈ H 1(Ω R ) and satisfies \(\nabla \cdot A\nabla v + {k}^{2}nv = 0\) in Ω R . Then, by the regularity result in the interior of Ω R (Theorem 5.27), v is smooth enough to apply the unique continuation principle (Theorem 17.2.6 in [89]). In particular, since v = 0 in \(\varOmega _{R}\setminus \bar{D}\), then v = 0 in Ω R . This proves the uniqueness.
Summarizing the preceding analysis, we have proved the following theorem on the existence, uniqueness, and continuous dependence on the data of a solution to the direct scattering problem for an orthotropic medium in \({\mathbb{R}}^{2}\).
Theorem 5.26.
Assume that D, A, and n satisfy the assumptions in Sect. 5.1 , and let \(f \in {H}^{\frac{1} {2} }(\partial D)\) and \(h \in {H}^{-\frac{1} {2} }(\partial D)\) be given. Then the transmission problem (5.13)–(5.17) has a unique solution v ∈ H 1 (D) and \(u \in H_{loc}^{1}({\mathbb{R}}^{2}\setminus \bar{D})\), which satisfy
with C > 0 a positive constant independent of f and h.
Note that the a priori estimate (5.41) is obtained using the fact that by a duality argument \(\|F\|\) is bounded by \(\|h\|_{{ H}^{-\frac{1} {2} }(\partial D)}\) and \(\|u_{f}\|_{{H}^{1}(\varOmega _{R}\setminus \bar{D})}\), which in turn is bounded by \(\|f\|_{{ H}^{\frac{1} {2} }(\partial D)}\) (Example 5.17).
We end this section by stating two regularity results from the general theory of partial differential equations formulated for our transmission problem. The proofs of these results are rather technical and beyond the scope of this book.
Let D 1 and D 2 be bounded, open subsets of \({\mathbb{R}}^{2}\) such that \(\bar{D}_{1} \subset D_{2}\), and assume that A is a matrix-valued function with continuously differentiable entries \(a_{jk} \in {C}^{1}(\bar{D}_{2})\) and \(n \in {C}^{1}(\bar{D}_{2})\). Furthermore, suppose that A is symmetric and satisfies \(\bar{\xi }\cdot \mbox{ Re}(A)\,\xi \geq \gamma \vert \xi {\vert }^{2}\) for all \(\xi \in {\mathbb{C}}^{3}\) and \(x \in \overline{D}_{2}\) for some constant γ > 0.
Theorem 5.27.
If u ∈ H 1 (D 2 ) and q ∈ L 2 (D 2 ) satisfy
then u ∈ H 2 (D 1 ) and
where C > 0 depends only on γ, D 1 and D 2 .
For a proof of this theorem in a more general formulation see Theorem 4.16 in [127] or Theorem 15.1 in [70]. Note also that a more general interior regularity theorem shows that if the entries of A and n are smoother than C 1 and q is smoother than L 2, then one can improve the regularity of u, and this eventually leads to a C 2 solution in the interior of D 2.
For later use, in the next theorem we state a local boundary regularity result for the solution to the transmission problem (5.13)–(5.17). By Ω \( \epsilon \) (z) we denote an open ball centered at \(z \in {\mathbb{R}}^{2}\) of radius \( \epsilon \).
Theorem 5.28.
Assume z ∈ ∂D, and let u i ∈ H 1 (D) such that Δu i ∈ L 2 (D). Define f:= u i and \(h:= \partial {u}^{i}/\partial \nu\) on ∂D.
-
1.
If for some \( \epsilon \) > 0 the incident wave u i is also defined in \( \it{\Omega}_{2}\) \( \epsilon \) (z) and the restriction of u i to \( \it{\Omega}_{2 \epsilon}\) (z) is in H 2 (Ω \( \it{\Omega}_{2 \epsilon}\) (z)), then the solution u to(5.13)–(5.17)satisfies \(u \in {H}^{2}(({\mathbb{R}}^{2}\setminus \overline{D}) \cap \varOmega _{\epsilon }(z))\) and there is a positive constant C such that
$$\displaystyle{\|u\|_{{H}^{2}(({\mathbb{R}}^{2}\setminus \overline{D})\cap \varOmega _{\epsilon }(z))} \leq C\left (\|{u}^{i}\|_{{ H}^{2}(\varOmega _{2\epsilon }(z))} +\| {u}^{i}\|_{{ H}^{1}(D)}\right ).}$$ -
2.
If for some \( \epsilon \) > 0 the incident wave u i is also defined in Ω R ∖Ω \( \epsilon \) (z) and the restriction of u i to Ω R ∖Ω \( \epsilon \) (z) is in \({H}^{2}(\varOmega _{R}\setminus \varOmega _{\epsilon }(z))\) , then the solution u to (5.13)–(5.17) satisfies \(u \in {H}^{2}({\mathbb{R}}^{2}\setminus (\overline{D} \cup \varOmega _{2\epsilon }(z)))\) and there is a positive constant C such that
$$\displaystyle{\|u\|_{{H}^{2}({\mathbb{R}}^{2}\setminus (\overline{D}\cup \varOmega _{ 2\epsilon }(z)))} \leq C\left (\|{u}^{i}\|_{{ H}^{2}(\varOmega _{R}\setminus \varOmega _{\epsilon }(z))} +\| {u}^{i}\|_{{ H}^{1}(D)}\right ).}$$
This result is proved in Theorem 2 in [81]. The proof employs the interior regularity result stated in Theorem 5.27 and techniques from Theorem 8.8 in [72].
References
Aktosun T, Gintides D, Papanicolaou V (2011) The uniqueness in the inverse problem for transmission eigenvalues for the spherically symmetric variable-speed wave equation. Inverse Problems 27:115004.
Aktosun T, Papanicolaou V (2013) Reconstruction of the wave speed from transmission eigenvalues for the spherically symmetric variable-speed wave equation. Inverse Problems 29:065007.
Angell T, Kirsch A (1992) The conductive boundary condition for Maxwell’s equations. SIAM J. Appl. Math. 52:1597–1610.
Angell T, Kirsch A (2004) Optimization Methods in Electromagnetic Radiation. Springer, New York.
Arens T (2001) Linear sampling methods for 2D inverse elastic wave scattering. Inverse Problems 17:1445–1464.
Arens T (2004) Why linear sampling works. Inverse Problems 20:163–173.
Arens T, Lechleiter A(2009) The linear sampling method revisited. J. Integral Equations Appl. 21:179–203.
Boas Jr, Ralph P (1954) Entire Functions. Academic, New York.
Bonnet-BenDhia AS, Chesnel L, Haddar H (2011) On the use of t-coercivity to study the interior transmission eigenvalue problem. C. R. Acad. Sci., Ser. I 340:647–651.
Bonnet-BenDhia AS, Ciarlet P, Maria Zwölf C (2010) Time harmonic wave diffraction problems in materials with sign-shifting coefficients. J. Comput. Appl. Math 234:1912–1919.
Bressan A (2013) Lecture Notes on Functional Analysis with Applications to Linear Partial Differential Equations. American Mathematical Society, Providence, RI.
Buchanan JL, Gilbert RP, Wirgin A, Xu Y (2004) Marine Acoustics. Direct and Inverse Problems. SIAM, Philadelphia.
Cakoni F, Colton D (2003) A uniqueness theorem for an inverse electomagnetic scattering problem in inhomogeneous anisotropic media. Proc. Edinb. Math. Soc. 46:293–314.
Cakoni F, Colton D (2003) On the mathematical basis of the linear sampling method. Georgian Math. J. 10/3:411–425.
Cakoni F, Colton D (2003) The linear sampling method for cracks. Inverse Problems 19:279–295.
Cakoni F, Colton D (2003) Combined far field operators in electromagnetic inverse scattering theory. Math. Methods Appl. Sci. 26:413–429.
Cakoni F, Colton D (2004) The determination of the surface impedance of a partially coated obstacle from far field data. SIAM J. Appl. Math. 64:709–723.
Cakoni F, Colton D (2005) Open problems in the qualitative approach to inverse electromagnetic scattering theory. Eur. J. Appl. Math. to appear.
Cakoni F, Colton D, Gintides D (2010) The interior transmission eigenvalue problem. SIAM J. Math. Anal. 42:2912–2921.
Cakoni F, Colton D, Haddar H (2002) The linear sampling method for anisotropic media. J. Comp. Appl. Math. 146:285–299.
Cakoni F, Colton D, Haddar H (2009) The computation of lower bounds for the norm of the index of refraction in an anisotropic media. J. Integral Equations Appl. 21(2):203–227.
Cakoni F, Colton D, Haddar H (2010) On the determination of Dirichlet or transmission eigenvalues from far field data. C. R. Math. Acad. Sci. Paris, Ser I 348(7–8):379–383.
Cakoni F, Colton D, Monk P (2001) The direct and inverse scattering problems for partially coated obstacles. Inverse Problems 17:1997–2015.
Cakoni F, Colton D, Monk P (2004) The electromagnetic inverse scattering problem for partly coated Lipschitz domains. Proc. R. Soc. Edinb. 134A:661–682.
Cakoni F, Colton D, Monk P (2010) The determination of boundary coefficients from far field measurements. J. Int. Equations Appl. 42(2):167–191.
Cakoni F, Colton D, Monk P (2011) The Linear Sampling Method in Inverse Electromagnetic Scattering. CBMS-NSF Regional Conference Series in Applied Mathematics 80, SIAM, Philadelphia.
Cakoni F, Colton D, Monk P (2005) The determination of the surface conductivity of a partially coated dielectric. SIAM J. Appl. Math. 65:767–789.
Cakoni F, Colton D, Monk P, Sun J (2010) The inverse electromagnetic scattering problem for anisotropic media. Inverse Problems 26:074004.
Cakoni F, Darrigrand E (2005) The inverse electromagnetic scattering problem for a mixed boundary value problem for screens. J. Comp. Appl. Math. 174:251–269.
Cakoni F, Fares M, Haddar H (2006) Anals of two linear sampling methods applied to electromagnetic imaging of buried objects. Inverse Problems 42:237–255.
Cakoni F, Gintides D, Haddar H (2010) The existence of an infinite discrete set of transmission eigenvalues. SIAM J. Math. Anal. 42:237–255.
Cakoni F, Haddar H (2013) Transmission eigenvalues in inverse scattering theory Inverse Problems and Applications, Inside Out 60, MSRI Publications, Berkeley, CA.
Cakoni F, Haddar H (2008), On the existence of transmission eigenvalues in an inhomogeneous medium. Applicable Anal. 88(4):475–493.
Cakoni F, Haddar H (2003) Interior transmission problem for anisotropic media. Mathematical and Numerical Aspects of Wave Propagation (Cohen et al., eds.), Springer, 613–618.
Cakoni F, Kirsch A (2010) On the interior transmission eigenvalue problem (2010) Int. J. Comp. Sci. Math. 3:142–167.
Chanillo S, Helffer B, Laptev A (2004) Nonlinear eigenvalues and analytic hypoellipticity. J. Functional Analysis 209:425–443.
Charalambopoulos A, Gintides D, Kiriaki K (2002) The linear sampling method for the transmission problem in three-dimensional linear elasticity. Inverse Problems 18:547–558.
Charalambopoulos A, Gintides D, Kiriaki K (2003) The linear sampling method for non-absorbing penetrable elastic bodies. Inverse Problems 19:549–561.
Chesnel L (2012) Étude de quelques problémes de transmission avec changement de signe. Application aux métamatériaux. Ph.D. thesis. École Doctorale de l’École Polytechnique, France.
Chesnel L (2012) Interior transmission eigenvalue problem for Maxwell’s equations: the T-coercivity as an alternative approach. Inverse Problems 28:065005.
Cheng J, Yamamoto M (2003) Uniqueness in an inverse scattering problem within non-trapping polygonal obstacles with at most two incoming waves. Inverse Problems 19:1361–1384.
Collino F, Fares M, Haddar H (2003) Numerical and analytical studies of the linear sampling method in electromagnetic inverse scattering problems. Inverse Problems 19:1279–1298.
Colton D (2004) Partial Differential Equations: An Introduction. Dover, New York.
Colton D, Coyle J, Monk P (2000) Recent developments in inverse acoustic scattering theory. SIAM Rev. 42:369–414.
Colton D (1980) Analytic Theory of Partial Differential Equations. Pitman Advanced Publishing Program, Boston.
Colton D, Erbe C (1996) Spectral theory of the magnetic far field operator in an orthotropic medium, in Nonlinear Problems in Applied Mathematics, SIAM, Philadelphia.
Colton D, Haddar H (2005) An application of the reciprocity gap functional to inverse scattering theory. Inverse Problems 21:383–398.
Colton D, Haddar H, Monk P (2002) The linear sampling method for solving the electromagnetic inverse scattering problem. SIAM J. Sci. Comput. 24:719–731.
Colton D, Haddar H, Piana P (2003) The linear sampling method in inverse electromagnetic scattering theory. Inverse Problems 19:S105–S137.
Colton D, Kirsch A (1996) A simple method for solving inverse scattering problems in the resonance region. Inverse Problems 12:383–393.
Colton D, Kress R (1983) Integral Equation Methods in Scattering Theory. Wiley, New York.
Colton D, Kress R (1995) Eigenvalues of the far field operator and inverse scattering theory. SIAM J. Math. Anal. 26:601–615.
Colton D, Kress R (1995) Eigenvalues of the far field operator for the Helmholtz equation in an absorbing medium. SIAM J. Appl. Math. 55:1724–35.
Colton D, Kress R (2013) Inverse Acoustic and Electromagnetic Scattering Theory, 3rd edn. Springer, New York.
Colton D, Kress R (2001) On the denseness of Herglotz wave functions and electromagnetic Herglotz pairs in Sobolev spaces. Math. Methods Appl. Sci. 24:1289–1303.
Colton D, Leung YJ (2013) Complex eigenvalues and the inverse spectral problem for transmission eigenvalues. Inverse Problems. 29:104008.
Colton D, Kress R, Monk P. (1997) Inverse scattering from an orthotropic medium. J. Comp. Appl. Math. 81:269–298.
Colton D, Monk P. (1999) A linear sampling method for the detection of leukemia using microwaves. II. SIAM J. Appl. Math. 69, 241–255.
Colton D, Päivarinta L (1992) The uniqueness of a solution to an inverse scattering problem for electromagnetic wave. Arch. Rational Mech. Anal. 119:59–70.
Colton D, Päivärinta L, Sylvester J (2007) The interior transmission problem. Inverse Problems Imag. 1:13–28.
Colton D, Piana M, Potthast R (1997) A simple method using Morozov’s discrepancy principle for solving inverse scattering problems. Inverse Problems 13:1477–1493.
Colton D, Sleeman BD (1983) Uniqueness theorems for the inverse problem of acoustic scattering. IMA J. Appl. Math. 31:253–59.
Colton D, Sleeman BD (2001) An approximation property of importance in inverse scattering theory. Proc. Edinb. Math. Soc. 44:449–454.
Costabel M, Dauge M (2002) Crack singularities for general elliptic systems. Math. Nachr. 235:29–49.
Costabel M, Dauge M (1996) A singularly perturbed mixed boundary value problem. Comm. Partial Differential Equations 21:1919–1949.
Cossonnière A, Haddar H (2011) The electromagnetic interior transmission problem for regions with cavities. SIAM J. Math. Anal. 43:1698–1715.
Coyle J (2000) An inverse electromagnetic scattering problem in a two-layered background. Inverse Problems 16:275–292.
Engl HW, Hanke M, Neubauer A (1996) Regularization of Inverse Problems. Kluwer, Dordrecht.
Fredholm I (1903) Sur une classe d’équations fonctionelles. Acta Math. 27:365–390.
Friedman A (1969) Partial Differential Equations. Holt, Rinehart and Winston, New York.
Ghosh Roy DN, Couchman LS (2002) Inverse Problems and Inverse Scattering of Plane Waves. Academic, London.
Gilbarg D, Trudinger NS (1983) Elliptic Partial Differential Equations of Second Order, 2nd edn. Springer, Berlin.
Gintides D, Kiriaki K (2001) The far-field equations in linear elasticity – an inversion scheme. Z. Angew. Math. Mech. 81:305–316.
Griesmaier R, Hanke M, Sylvester J (to appear) Far field splitting for the Helmholtz equation.
Grinberg NI, Kirsch A (2002) The linear sampling method in inverse obstacle scattering for impedance boundary conditions. J. Inv. Ill-Posed Problems 10:171–185.
Grinberg NI, Kirsch A (2004) The factorization method for obstacles with a-priori separated sound-soft and sound-hard parts. Math. Comput. Simulation 66:267–279
Gylys-Colwell F (1996) An inverse problem for the Helmholtz equation. Inverse Problems 12:139–156.
Haddar H (2004) The interior transmission problem for anisotropic Maxwell’s equations and its applications to the inverse problem. Math. Methods Appl. Sci. 27:2111–2129.
Haddar H, Joly P (2002)Stability of thin layer approximation of electromagnetic waves scattering by linear and nonlinear coatings. J. Comp. Appl. Math. 143:201–236.
Haddar H, Monk P (2002) The linear sampling method for solving the electromagnetic inverse medium problem. Inverse Problems 18:891–906.
Hähner P (2000) On the uniqueness of the shape of a penetrable, anisotropic obstacle. J. Comp. Appl. Math. 116:167–180.
Hähner P (2002) Electromagnetic wave scattering: theory. in Scattering (Pike and Sabatier, eds.) Academic, New York.
Hartman P, Wilcox C (1961) On solutions of the Helmholtz equation in exterior domains. Math. Zeit. 75:228–255.
Hitrik M, Krupchyk K, Ola P, Päivärinta L (2010) Transmission eigenvalues for operators with constant coefficients. SIAM J. Math. Anal. 42:2965–2986.
Hitrik M, Krupchyk K, Ola P and Päivärinta L (2011) The interior transmission problem and bounds on transmission eigenvalues. Math Res. Lett. 18:279–293.
Hitrik M, Krupchyk K, Ola P, Päivärinta L (2011) Transmission eigenvalues for elliptic operators. SIAM J. Math. Anal. 43:2630–2639.
Hochstadt H (1973) Integral Equations. Wiley, New York.
Hooper AE, Hambric HN (1999) Unexploded ordinance (UXO): The problem. Detection and Identification of Visually Obscured Targets (Baum, ed.), Taylor and Francis, Philadelphia.
Hörmander L (1985) The Analysis of Linear Partial Differential Operators III. Springer, Berlin.
Hsiao G, Wendland WL (2008) Boundary Integral Equations. Springer, Berlin.
Ikehata M (1998) Reconstruction of the shape of an obstacle from scattering amplitude at a fixed frequency. Inverse Problems 14:949–954.
Ikehata M (1999) Reconstructions of obstacle from boundary measurements. Waves Motion 30:205–223.
Isakov V (1988) On the uniqueness in the inverse transmission scattering problem. Comm. Partial Differential Equations 15:1565–1587.
Isakov V (1998) Inverse Problems for Partial Differential Equations. Springer, New York.
John F (1982) Partial Differential Equations, 4th ed. Springer Verlag, New York.
Jones DS (1974) Integral equations for the exterior acoustic problem. Q. J. Mech. Appl. Math. 27:129–142.
Y. Katznelson (9168) An Introduction to Harmonic Analysis. Wiley, New York.
Kirsch A (2011) An Introduction to the Mathematical Theory of Inverse Problems, 2nd edn. Springer, New York.
Kirsch A (1998) Characterization of the shape of a scattering obstacle using the spectral data of the far field operator. Inverse Problems 14:1489–1512.
Kirsch A (1999) Factorization of the far field operator for the inhomogeneous medium case and an application in inverse scattering theory. Inverse Problems 15:413–29.
Kirsch A (2002) The MUSIC-algorithm and the factorization method in inverse scattering theory for inhomogeneous media. Inverse Problems 18:1025–1040.
Kirsch A (2004) The factorization method for Maxwell’s equations. Inverse Problems 20:S117-S134.
Kirsch A (2005) The factorization method for a class of inverse elliptic problems. Math. Nachr. 278:258–277.
Kirsch A (2008) An integral equation for the scattering problem for an anisotropic medium and the factorization method. Advanced Topics in Scattering and Biomedical Engineering, Proceedings of the 8th International Workshop on Mathematical Methods in Scattering Theory and Biomedical Engineering. World Scientific, New Jersey.
Kirsch A (2009) On the existence of transmission eigenvalues. Inverse Problems Imag. 3:155–172.
Kirsch A, Kress R (1993) Uniqueness in inverse obstacle scattering. Inverse Problems 9:81–96.
Kirsch A, Grinberg N (2008) The Factorization Method for Inverse Problems. Oxford University Press, Oxford.
Kirsch A, Ritter S (2000) A linear sampling method for inverse scattering from an open arc. Inverse Problems 16:89–105.
Kleinman RE, Roach GF (1982) On modified Green’s functions in exterior problems for the Helmholtz equation. Proc. R. Soc. Lond. A383:313–332.
Kress R (1995) Inverse scattering from an open arc. Math. Methods Appl. Sci. 18:267–293.
Kress R (1999) Linear Integral Equations, 2nd edn. Springer, New York.
Kress R, Lee KM (2003) Integral equation methods for scattering from an impedance crack. J. Comp. Appl. Math. 161:161–177.
Kress R, Rundell W (2001) Inverse scattering for shape and impedance. Inverse Problems 17:1075–1085.
Kress R, Serranho P (2005) A hybrid method for two-dimensional crack reconstruction. Inverse Problems 21:773–784.
Kreyszig E (1978) Introductory Functional Analysis with Applications. Wiley, New York.
Kusiak S, Sylvester J (2003) The scattering support. Comm. Pure Appl. Math. 56:1525–1548.
Kusiak S, Sylvester J (2005) The convex scattering support in a background medium. SIAM J. Math. Anal. 36:1142–1158.
Lakshtanov E, Vainberg B (2012) Bounds on positive interior transmission eigenvalues. Inverse Problems 28:105005.
Lakshtanov E, Vainberg B (2012) Remarks on interior transmission eigenvalues, Weyl formula and branching billiards. J. Phys. A 25 12:125202.
Lakshtanov E, Vainberg B (2012) Ellipticity in the interior transmission problem in anisotropic media. SIAM J. Math. Anal. 44 2:1165–1174.
Lebedev NN (1965) Special Functions and Their Applications. Prentice-Hall, Englewood Cliffs, NJ.
Leung YJ, Colton D (2012) Complex transmission eigenvalues for spherically stratified media. Inverse Problems 28:2944956.
Levin B Y (1996) Lectures on Entire Functions. American Mathematical Society. Providence, RI.
Lions J, Magenes E (1972) Non-homogeneous Boundary Value Problems and Applications. Springer, New York.
Magnus W (1949) Fragen der Eindeutigkeit und des Verhattens im Unendlichen für Lösungen von Δ u + k 2 u = 0. Abh. Math. Sem. Hamburg 16:77–94.
McLaughlin JR, Polyakov PL (1994) On the uniqueness of a spherically symmetric speed of sound from transmission eigenvalues. J. Differential Equations 107:351–382.
McLean W (2000) Strongly Elliptic Systems and Boundary Integral Equations. Cambridge University Press, Cambridge.
Mönch L (1997) On the inverse acoustic scattering problem by an open arc: the sound-hard case. Inverse Problems 13:1379–1392
Monk P (2003) Finite Element Methods for Maxwell’s Equations. Oxford University Press, Oxford.
Morozov VA (1984) Methods for Solving Incorrectly Posed Problems. Springer, New York.
Müller C (1952) Über die ganzen Lösungen der Wellengleichung. Math. Annalen 124:235–264
Nintcheu Fata S, Guzina BB (2004) A linear sampling method for near-field inverse problems in elastodynamics. Inverse Problems 20:713–736.
Norris AN (1998) A direct inverse scattering method for imaging obstacles with unknown surface conditions. IMA J. Applied Math. 61:267–290.
Päivärinta L, Sylvester J. (2008) Transmission eigenvalues. SIAM J. Math. Anal. 40 738–753.
Pelekanos G, Sevroglou V (2003) Inverse scattering by penetrable objects in two-dimensional elastodynamics. J. Comp. Appl. Math. 151:129–140.
Piana M (1998) On uniqueness for anisotropic inhomogeneous inverse scattering problems. Inverse Problems 14:1565–1579.
Potthast R (1999) Electromagnetic scattering from an orthotropic medium. J. Integral Equations Appl. 11:197–215.
Potthast R (2000) Stability estimates and reconstructions in inverse acoustic scattering using singular sources. J. Comp. Appl. Math. 114:247–274.
Potthast R (2001) Point Sourse and Multipoles in Inverse Scattering Theory. Research Notes in Mathematics, Vol 427, Chapman and Hall/CRC, Boca Raton, FL.
Potthast R (2004) A new non-iterative singular sources method for the reconstruction of piecewise constant media. Numer. Math. 98:703–730.
Potthast R, Sylvester J, Kusiak S (2003) A ’range test’ for determining scatterers with unknown physical properties. Inverse Problems 19:533–47.
Pöschel J, Trubowitz E (1987) Inverse Spectral Theory. Academic, Boston.
Rellich F (1943) Über das asymptotische Verhalten der Lösungen von △ u +λ u = 0 im unendlichen Gebieten. Jber. Deutsch. Math. Verein. 53:57–65.
Riesz F (1918) Über lineare Funktionalgleichungen. Acta Math. 41:71–98.
Robert D (2004) Non-linear eigenvalue problems. Mat. Contemp. 26:109–127.
Rondi L (2003) Unique determination of non-smooth sound-soft scatteres by finitely many far field measurements. Indiana University Math. J. 52:1631–62.
Rundell W, Sacks P (1992) Reconstruction techniques for classical inverse Sturm-Liouville problems. Math. Comput. 58:161–183.
Rynne BP, Sleeman BD (1991) The interior transmission problem and inverse scattering from inhomogeneous media. SIAM J. Math. Anal. 22:1755–1762.
Schechter M (2002) Principles of Functional Analysis, 2nd edn. American Mathematical Society, Providence, RI.
Sevroglou V (2005) The far-field operator for penetrable and absorbing obstacles in 2D inverse elastic scattering. Inverse Problems 21:717–738.
Stefanov P, Uhlmann G (2004) Local uniqueness for the fixed energy fixed angle inverse problem in obstacle scattering. Proc. Am. Math. Soc. 132:1351–54.
Stephan EP (1987) Boundary integral equations for screen problems in ℝ 3. Integral Equations Operator Theory 10:236–257.
Stephan EP, Wendland W (1984) An augmented Galerkin procedure for the boundary integral method applied to two-dimensional screen and crack problems. Appl. Anal. 18:183–219.
Sylvester J (2012) Discreteness of transmission eigenvalues via upper triangular compact operator. SIAM J. Math. Anal. 44:341–354.
Tacchino A, Coyle J, Piana M (2002) Numerical validation of the linear sampling method. Inverse Problems 18:511–527.
Ursell F (1978) On the exterior problems of acoustics II. Proc. Cambridge Phil. Soc. 84:545–548.
Vekua IN (1943) Metaharmonic functions. Trudy Tbilisskogo Matematichesgo Instituta 12:105–174.
Xu Y, Mawata C, Lin W (2000) Generalized dual space indicator method for underwater imaging. Inverse Problems 16:1761–1776.
You YX, Miao GP (2002) An indicator sampling method for solving the inverse acoustic scattering problem from penetrable obstacles. Inverse Problems 18:859–880.
You YX, Miao GP, Liu YZ (2000) A fast method for acoustic imaging of multiple three-dimensional objects. J. Acoust. Soc. Am. 108:31–37.
Young RM (2001) An Introduction to Nonharmonic Fourier Series. Academic, San Diego.
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Cakoni, F., Colton, D. (2014). Scattering by Orthotropic Media. In: A Qualitative Approach to Inverse Scattering Theory. Applied Mathematical Sciences, vol 188. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-8827-9_5
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