A modification of the factorization method for scatterers with different physical properties
|
|
- Coral Brooks
- 5 years ago
- Views:
Transcription
1 A modification of the factorization method for scatterers with different physical properties Takashi FURUYA arxiv: v2 [math.ap] 25 Oct 2018 Abstract We study an inverse acoustic scattering problem by the Factorization Method when the unknown scatterer consists of two objects with different physical properties. Especially, we consider the following two cases: One is the case when each object has the different boundary condition, and the other one is when different penetrability. Our idea here is to modify the far field operator depending on the cases to avoid unnecessary a priori assumptions. 1 Introduction Sampling methods are proposed for reconstruction of shape and location in inverse acoustic scattering problems. In the last twenty years, sampling methods such as the Linear Sampling method of Colton and Kress [4], the Singular Sources Method of Potthast [16], the Factorization Method of Kirsch [5], have been introduced and intensively studied. As an advantage of these sampling methods, the numerical implementation are so simple and fast. However, as disadvantage of sampling methods except the Factorization Method, only sufficient conditions are given for the identification of unknown scatterers. To overcome this drawback, that is, to provide necessary and sufficient conditions, the Factorization Method was introduced and developed by a lot of researchers. However, for rigorous justification of the original Factorization Method, we have to assume that the wave number of the incident wave is not an eigenvalue of the Laplacian on an obstacle with respect to the boundary condition of the scattering problem. Kirsch and Liu [9] eliminated this problem for the case of a single obstacle by assuming that a small ball is in the interior of the unknown obstacle. They modified the original far field operator by adding the far field operator corresponding to a small ball so that the Factorization Method can be applied to it. On the other hands, in the case of a scatterer consisting of two objects with different physical properties, this problem has been still open. For recent works discussing this case, we refer to [1, 2, 6, 11, 17]. In this paper, we study the Factorization Method for a scatterer consisting of two objects with different physical properties. Especially, we consider 1
2 the following two cases: One is the case when each object has the different boundary condition, and the other one is when different penetrability. For recent works discussing such a scatterer, we refer to [8, 10, 13]. We remark that these works have to assume that the wave number of the incident wave is not an eigenvalue of the Laplacian on impenetrable obstacles included in a scatterer. Our aim of this paper is to eliminate this restriction by developing the idea of [9]. We begin with the formulations of the scattering problems. Let k > 0 be the wave number and for θ S 2 be incident direction. Here, S 2 = {x R 3 : x = 1} denotes the unit spherer in R 3. We set u i (x := e ikθ x, x R 3, (1.1 where i in the left hand side stands for incident plane wave. Let Ω R 3 be a boundedopen set and let its exterior R 3 \Ω beconnected. We assume that Ω consists of two bounded domains, i.e., Ω = Ω 1 Ω 2 such that Ω 1 Ω 2 =. We consider the following two cases. The first case. Ω 1 is an impenetrable obstacle with Dirichlet boundary condition, and Ω 2 with Neumann boundary condition. Find u s H 1 loc (R3 \Ω such that u s +k 2 u s = 0 in R 3 \Ω, (1.2 u s = u i on Ω 1, (1.3 u s = ui on Ω 2, (1.4 ν Ω2 ν Ω2 ( u s lim r r r ikus = 0, (1.5 where r = x, and (1.5 is the Sommerfeld radiation condition. Here, H 1 loc (R3 \ Ω = {u : R 3 \ Ω C : u B H 1 (B for all open balls B} denotes the local Sobolov space of one order. ν Ω2 (x denotes the unit normal vector at x Ω 2. We refer to Theorem 7.15 in [15] for the well posedness of the problem (1.2 (1.5, and refer to [8] and [13] for the factorization method in this case. The second case. Ω 1 is a penetrable medium modeled by a contrast function q L (Ω 1 (that is, Ω 1 = suppq, and Ω 2 is an impenetrable obstacle with Dirichlet boundary condition. Find u s H 1 loc (R3 \Ω 2 such that u s +k 2 (1+qu s = k 2 qu i in R 3 \Ω 2, (1.6 2
3 u s = u i on Ω 2, (1.7 ( u s lim r r r ikus = 0. (1.8 Note that weextendq byzero outsideω 1. Thewell posednessoftheproblem (1.6 (1.8 and its factorization method was shown in [10]. In both cases, it is well known that the scattered wave u s has the following asymptotic behavior: ( u s (x,θ = eik x 1 4π x u (ˆx,θ+O x 2, x, ˆx := x x. (1.9 The function u is called the far field pattern of u s. With the far field pattern u, we define the far field operator F : L 2 (S 2 L 2 (S 2 by Fg(ˆx := u (ˆx,θg(θds(θ, ˆx S 2. (1.10 S 2 We write the far field operator of the problem (1.2 (1.5 as F = FΩ Mix 1,Ω 2, and(1.6 (1.8as F = FΩ Mix 1 q,ω 2, respectively. Theinversescattering problem we consider is to reconstruct Ω from the far field pattern u (ˆx,θ for all ˆx,θ S 2. In other words, given the far field operator F, reconstruct Ω. Our contribution in this paper is, in both cases, to give the characterization of Ω 1 without a priori assumptions for the wave number k > 0. But we have to know the topological properties of Ω. More precisely, an inner domain B 1 of Ω 1 (based on [9], and an outer domain B 2 of Ω 2 ([8], have to be a priori known. Furthermore, we take an additional domain B 3 in the interior of B 2. By adding artificial far field operators corresponding to B 1, B 2, and B 3, we modify the original far field operator F. In the first case, we give the following characterization: Assumption 1.1. Let bounded domain B 1 and B 2 be a prior known. Assume that B 1 Ω 1, Ω 2 B 2, Ω 1 B 2 =. B 1 B 3 Ω 2 Ω 1 Neumann Dirichlet B 2 Figure 1: 3
4 Theorem 1.2. For ˆx S 2, z R 3, define φ z (ˆx := e ikz ˆx. (1.11 Let Assumption 1.1 hold. Take a positive number λ 0 > 0, and a bounded domain B 3 with B 3 B 2. (See Figure 1. Then, for z R 3 \B 2 z Ω 1 (φ z,ϕ n L 2 (S 2 2 <, (1.12 λ n n=1 where (λ n,ϕ n is a complete eigensystem of F # given by F # := ReF + ImF, (1.13 where F := FΩ Mix 1,Ω 2 + FB Dir 2 + F Imp B 1 B 3,iλ 0. Here, FB Dir 2 and F Imp B 1 B 3,iλ 0 are the far field operators for the pure Dirichlet boundary condition on B 2, and for the pure impedance boundary condition on B 1 B 3 with an impedance function iλ 0, respectively. Latter, we explain artificial far field operators FB Dir 2 and F Imp B 1 B 3,iλ 0 in Section 2, and prove Theorem 1.2 in Section 3. In the second case, we give the following characterization: Assumption 1.3. Let a bounded domain B 2 be a priori known. Assume the following assumptions: (i q L (Ω 1 with Imq 0 in Ω 1. (ii q is locally bounded below in Ω 1, i.e., for every compact subset M Ω 1, there exists c > 0 (depend on M such that q c in M. (iii Ω 2 B 2, Ω 1 B 2 =. (iv There exists t (π/2,3π/2 and C > 0 such that Re(e it q C q a.e. in Ω 1. Theorem 1.4. Let Assumption 1.3 hold. Take a positive number λ 0 > 0, and a bounded domain B 3 with B 3 B 2. (See Figure 2. Then, for z R 3 \B 2 (φ z,ϕ n L z Ω 1 2 (S 2 2 <, (1.14 λ n n=1 4
5 Ω 1 Ω 2 B 2 B 3 Obstacle Medium Figure 2: where (λ n,ϕ n is a complete eigensystem of F # given by F # := Re ( e it F + ImF, (1.15 where F := FΩ Mix 1 q,ω 2 + FB Dir 2 ( F Imp B 3,iλ 0. Here, the function φ z is given by We prove Theorem 1.4 in Section. We can also give the characterization by replacing (iv in Assumption 1.3 with (iv There exists t [0,π/2 (3π/2,2π] and C > 0 such that Re(e it q C q a.e. in Ω 1. For details, see Assumption 4.5 and Theorem 4.6. Let us compare our works (Theorems 1.2 and 1.4 with previous works from the mathematical point of view of a priori assumptions. For Theorem 1.2werefertoTheorem2.5of[13], andfortheorems1.4werefertotheorem 3.9 (b of [10]. These previous works also gave the characterization of Ω 1 by assuming the existence of outer domain B 2 of Ω 2 and that the wave number k 2 is not an eigenvalue on an obstacle, while, in our work we can choose arbitrary wave number k > 0 by introducing extra artificial domains such as B 1, B 2, and B 3, which are not so difficult topological assumptions. This paper is organized as follows. In Section 2, we recall a factorization of the far field operator and its properties. In Section 3 and Section 4, we prove Theorems 1.2 and 1.4, respectively. 2 A factorization for the far field operator In Section 2, we briefly recall a factorization for the far field operators and its properties. First, we consider a factorization of the far field operator for the pure boundary condition. Let B be a bounded open set and let R 3 \B be connected. Later, we will use the result of this section by regarding B as 5
6 auxiliary domains, like B 1, B 2, and B 3 in Theorems 1.2 and 1.4. We define G Dir B : H1/2 ( B L 2 (S 2 by G Dir B f := v, (2.1 where v is the far field pattern of a radiating solution v (that is, v satisfies the Sommerfeld radiation condition such that v +k 2 v = 0 in R 3 \B, (2.2 v = f on B. (2.3 Let λ 0 > 0. We also define G Imp B,iλ 0 : H 1/2 ( B L 2 (S 2 in the same way as G Dir B by replacing (2.3 with v ν B +iλ 0 v = f on B. (2.4 We define the boundary integral operators S B : H 1/2 ( B H 1/2 ( B and N B : H 1/2 ( B H 1/2 ( B by S B ϕ(x := ϕ(yφ(x, yds(y, x B, (2.5 N B ψ(x := B ν B (x B ψ(y Φ(x,y ds(y, x B, (2.6 ν B (y where Φ(x,y := eik x y 4π x y. We also define S B,i and N B,i by the boundary integral operators (2.5 and (2.6, respectively, corresponding to the wave number k = i. It is well known that S B,i is self-adjoint and positive coercive, and N B,i is self-adjoint and negative coercive. For details of the boundary integral operators, we refer to [7] and [15]. The following properties of far field operators FB Dir and F Imp B,iλ 0 are given by previous works in [7] and [9]: Lemma 2.1 (Lemma 1.14 in [7], Theorem 2.1 and Lemma 2.2 in [9]. (a The far field operators FB Dir and F Imp B,iλ 0 have a factorization of the form F Dir B = G Dir B S B GDir B, F Imp B,iλ 0 = G Imp B,iλ 0 T Imp B,iλ 0 G Imp B,iλ 0. (2.7 (b The operators S B : H 1/2 ( B H 1/2 ( B and T Imp B,iλ 0 : H 1/2 ( B H 1/2 ( B is of the form S B = S B,i +K, where K and K are some compact operators. 6 T Imp B,iλ 0 = N B,i +K, (2.8
7 (c Im ϕ,s B ϕ 0 for all ϕ H 1/2 ( B. Furthermore, if we assume that k 2 is not a Dirichlet eigenvalue of in B, then Im ϕ,s B ϕ < 0 for all ϕ H 1/2 ( B with ϕ 0. (d Im T Imp B,iλ 0 ϕ,ϕ > 0 for all ϕ H 1/2 ( B with ϕ 0. Secondly, we consider the far field operator FΩ Mix 1,Ω 2 for the problem (1.2 (1.5. Recall that Ω = Ω 1 Ω 2, and Ω 1 is an impenetrable obstacle with Dirichlet boundary condition, and Ω 2 with Neumann boundary condition. We define G Mix : H 1/2 ( Ω 1 H 1/2 ( Ω 2 L 2 (S 2 by ( G Mix f := v, (2.9 g where v is the far field pattern of a radiating solution v such that v +k 2 v = 0 in R 3 \Ω, (2.10 v = f on Ω 1, v ν Ω2 = g on Ω 2. (2.11 The following properties of F Mix are given by previous works in [7]: Lemma 2.2 (Theorem 3.4 in [7]. (a The far field operator F Mix has a factorization of the form F Mix = G Mix T Mix G Mix. (2.12 (b The middle operator TΩ Mix 1,Ω 2 : H 1/2 ( Ω 1 H 1/2 ( Ω 2 H 1/2 ( Ω 1 H 1/2 ( Ω 2 is of the form T Mix = ( SΩ1,i 0 where K is some compact operator. 0 N Ω2,i +K, (2.13 (c Im T Mix ϕ,ϕ 0 for all ϕ H 1/2 ( Ω 1 H 1/2 ( Ω 2. Thirdly, we consider the far field operator FΩ Mix 1 q,ω 2 for the problem (1.6 (1.8. Here, Ω 1 is a penetrable medium modeled by a contrast function q L (Ω 1, and Ω 2 is an impenetrable obstacle with Dirichlet boundary condition. We define G Mix : L 2 (Ω 1 H 1/2 ( Ω 2 L 2 (S 2 by ( G Mix f := v, (2.14 g 7
8 where v is the far field pattern of a radiating solution v such that v +k 2 (1+qv = k 2 q q f in R 3 \Ω 2, (2.15 v = g on Ω 2. (2.16 The following properties of F Mix are given by previous works in [10]: Lemma 2.3 (Theorem 3.2 and Theorem 3.3 in [10]. (a The far field operator F Mix has a factorization of the form F Mix = G Mix M Mix G Mix. (2.17 (b The middle operator MΩ Mix 1 q,ω 2 : L 2 (Ω 1 H 1/2 ( Ω 2 L 2 (Ω 1 H 1/2 ( Ω 2 is of the form M Mix = where K is some compact operator. ( q k 2 q 0 0 S Ω2,i +K, (2.18 (c Im ϕ,mω Mix 1 q,ω 2 ϕ 0 for all ϕ L 2 (Ω 1 H 1/2 ( Ω 2. ( (d If MΩ Mix ϕ1 1 q,ω 2 ϕ = 0, ϕ = L 2 (Ω 1 H 1/2 ( Ω 2, then ϕ 1 = 0. ϕ 2 Finally, we give the following functional analytic theorem behind the factorization method. The proof is completely analogous to previous works, e.g., Theorem 2.15 in [7], Theorem 2.1 in [12], and Theorem 2.1 in [13]. Theorem 2.4. Let X U X be a Gelfand triple with a Hilbert space U and a reflexive Banach space X such that the imbedding is dense. Furthermore, let Y be a second Hilbert space and let F : Y Y, G : X Y, T : X X be linear bounded operators such that We make the following assumptions: (1 G is compact with dense range in Y. F = GTG. (2.19 (2 There exists t [0,2π] such that Re(e it T has the form Re(e it T = C+ K with some compact operator K and some self-adjoint and positive coercive operator C, i.e., there exists c > 0 such that ϕ,cϕ c ϕ 2 for all ϕ X. (2.20 8
9 (3 Im ϕ,tϕ 0 or Im ϕ,tϕ 0 for all ϕ X. Furthermore, we assume that one of the following assumptions: (4 T is injective. (5 Im ϕ,tϕ > 0 or Im ϕ,tϕ < 0 for all ϕ Ran(G with ϕ 0. Then, the operator F # := Re(e it F + ImF is positive, and the ranges of G : X Y and F 1/2 # : Y Y coincide with each other. Remark that, in this paper, the real part and the imaginary part of an operator A are self-adjoint operators given by Re(A = A+A 2 and Im(A = A A. (2.21 2i 3 The first case In section 3, we prove Theorem 1.2. Let Assumption 1.1 hold. We define R 1 : H 1/2 ( Ω 1 H 1/2 ( Ω 2 H 1/2 ( Ω 1 H 1/2 ( B 2 by R 1 ( f1 g 1 := where v 1 is a radiating solution such that ( f1 v 1 B2, (3.1 v 1 +k 2 v 1 = 0 in R 3 \Ω, (3.2 v 1 = f 1 on Ω 1, Then, from the definition of R 1, we obtain v 1 ν Ω2 = g 1 on Ω 2. (3.3 G Mix = G Dir Ω 1,B 2 R 1, (3.4 where G Dir Ω 1,B 2 : H 1/2 ( Ω 1 H 1/2 ( B 2 L 2 (S 2 is also defined for the pure Dirichlet boundary condition on Ω 1 and B 2 in the same way as G Mix. (See (2.9. Next, we define R 2 : H 1/2 ( B 2 H 1/2 ( Ω 1 H 1/2 ( B 2 by R 2 f 2 := ( v2 Ω1 f 2 where v 2 is a radiating solution such that 9, (3.5
10 Then, from the definition of R 2, we obtain v 2 +k 2 v 2 = 0 in R 3 \B 2, (3.6 v 2 = f 2 on B 2, (3.7 G Dir B 2 = G Dir Ω 1,B 2 R 2. (3.8 Here, take a positive number λ 0 > 0, and a bounded domain B 3 with B 3 B 2. We define R 3 : H 1/2 ( B 1 B 3 H 1/2 ( Ω 1 H 1/2 ( B 2 by ( v3 Ω1 R 3 f 3 := v B2, (3.9 3 where v 3 is a radiating solution such that v 3 +k 2 v 3 = 0 in R 3 \B 1 B 3, (3.10 v 3 ν B1 B 3 +iλ 0 v 3 = f 3 on B 1 B 3. (3.11 Then, from the definition of R 3, we obtain G Imp B 1 B 3,iλ 0 = G Dir Ω 1,B 2 R 3. (3.12 By (3.4, (3.8, (3.12, and the factorization of the far field operator in Section 2, we have FΩ Mix 1,Ω 2 +FB Dir 2 +F Imp B 1 B 3,iλ 0 = G Dir Ω 1,B 2 TG Dir Ω 1,B 2, (3.13 [ ] where T := R 1 TΩ Mix 1,Ω 2 R1 R 2SB 2 R2 R 3T Imp B 1 B 3,iλ 0 R3. The following properties of G Dir Ω 1,B 2 are given by the same argument in Theorem 1.12 and Lemma 1.13 in [7]: Lemma 3.1. (a The operator G Dir Ω 1,B 2 : H 1/2 ( Ω 1 H 1/2 ( B 2 L 2 (S 2 is compact with dense range in L 2 (S 2. (b For z R 3 \B 2 z Ω 1 φ z Ran(G Dir Ω 1,B 2, (3.14 where the function φ z is given by (1.11. To prove Theorem 1.2, we apply Theorem 2.4 to this case. First of all, we show the following lemma: 10
11 ( I 0 Lemma 3.2. (a R 1 0 0, R 2 P 2, R 3 are compact. Here, P 2 : H 1/2 ( B 2 H 1/2 ( Ω 1 H 1/2 ( B 2 is defined by P 2 h := ( 0 h. (3.15 (b R3 is injective. ( I 0 Proof. (a The mappings R 1 : H 0 0 1/2 ( Ω 1 H 1/2 ( Ω 2 H 1 ( Ω 1 H 1 ( B 2, R 2 P 2 : H 1/2 ( B 2 H 1 ( Ω 1 H 1 ( B 2, and R 3 : H 1/2 ( B 1 B 3 H 1 ( Ω 1 H 1 ( B 2 are bounded since they are ( ( ( f1 0 given by v2 Ω1 ( v3 Ω1 g 1 v B2, f 2, and f v B2, 3 respectively. By Rellich theorem, they are compact. ( φ (bletφ H 1/2 ( Ω 1 andψ H 1/2 ( B 2. AssumethatR3 = ψ 0. Using the same argument as done in Theorem 2.5 in [14], one knows the existence of a radiating solution w such that w +k 2 w = 0 in R 3 \Ω 1 B 2, (3.16 w +k 2 w = 0 in Ω 1 \B 1, in B 2 \B 3, (3.17 w + w = 0, w + w = 0, w + ν Ω1 w ν Ω1 = φ on Ω 1, (3.18 w + ν B2 w ν B2 = ψ on B 2, (3.19 w ν B1 +iλ 0 w = 0 on B 1, w ν B3 +iλ 0 w = 0 on B 3, (3.20 wherethe subscripts+and denote the trace from theexterior and interior, respectively. (See Figure 3. 11
12 B 1 B 3 Ω 1 B 2 Figure 3: By using the boundary conditions (3.11, (3.18, (3.19, (3.20, and Green s theorem, we have ( 0 = f 3,R3 φ ( v Ω1 ( 3 = φ ψ v B2, 3 ψ = v 3 φds+ v 3 ψds Ω 1 B 2 ( w+ = v 3 Ω 1 B 2 ν w v 3 ds ν Ω 1 B 2 ν (w + w ds [ ] [ ] v3 = Ω 1 B 2 ν w w v3 v 3 ds ν Ω 1 B 2 ν w w + + v 3 ds ν [ ] [ ] v3 w v3 w = w v 3 ds+ w v 3 ds B 1 ν B1 ν B1 B 3 ν B3 ν B3 = f 3 wds, (3.21 B 1 B 3 which proves that w = 0 in B 1 B 3. Holmgren s uniqueness theorem (See e.g., Theorem 2.3 in [4] implies that w vanishes in Ω 1 \ B 1 and B 2 \ B 3. Equations (3.18 and (3.19 yield w + = 0 on Ω 1 B 2 which implies that w vanishes alsooutsideof Ω 1 andb 2 by theuniquenessof theexterior Dirichlet problem. Therefore, equations (3.18 and (3.19 yield φ = 0 and ψ = 0. By Lemma 3.2, the middle operator T of (3.13 has the following properties: Lemma 3.3. (a Re ( e iπ T has the form Re ( e iπ T = C+K with some selfadjoint and positive coercive operator C and some compact operator K. (b Im ϕ,tϕ < 0 for all ϕ H 1/2 ( Ω 1 H 1/2 ( B 2 with ϕ 0. 12
13 Proof. (a By Lemma 2.1 (b, Lemma 2.2 (b, and Lemma 3.2 (a, Re ( e iπ T ( = Re R 1 TΩ Mix 1,Ω 2 R1 +R 2 SB 2 R2 +R 3 T Imp B 1 B 3,iλ 0 R3 ( SΩ1,i 0 = R 1 R1 +R 0 N 2 S B2,iR2 +K Ω2,i ( ( ( I 0 SΩ1,i 0 I 0 = +P N Ω2,i S B2,iP2 +K ( SΩ1,i 0 = +K, ( S B2,i where K and K are some compact operators. Since the boundary integral operators S Ω1,i and S B2,i are self-adjoint and positive coercive, (a holds. (b By Lemma2.1 (c (d, Lemma2.2 (c, andlemma3.2(b, especially, by the strictly positivity of the operator ImT Imp B 1 B 3,iλ 0, and the injectivity of R 3, for all ϕ H 1/2 ( Ω 1 H 1/2 ( B 2 with ϕ 0, we have Im ϕ,tϕ = Im T Mix R 1ϕ,R 1ϕ +Im R 2ϕ,S B2 R 2ϕ Im T Imp B 1 B 3,iλ 0 R 3ϕ,R 3ϕ < 0. (3.23 Therefore, by Lemma 3.3, we can apply Theorem 2.4 to this case. From Lemma 3.1 (b, and applying Theorem 2.4, we obtain Theorem 1.2. Remark 3.4. Unknown obstacle Ω 2 may consist of finitely many connected components whose closures are mutually disjoint. Furthermore, the boundary condition on Ω 2 can notbeonly Neumannbutalso Dirichlet, impedance, and not only impenetrable obstacles but also penetrable mediums, and their mixed situations by the same argument in Theorem 1.2. In all cases, we can choose arbitrary wave numbers k > 0. Remark 3.5. If we assume that k 2 is not a Dirichlet eigenvalue of in artificial domains B 1, B 2, then we do not need to take an additional domain B 3. In such a case, we only use FB Dir 1 B 2 as artificial far field operators since FB Dir 1 B 2 has a role to keep the strictly positivity of the imaginary part of the middle operator of F. (See Lemma 2.1 (c. That is, we can give the following characterization by the same argument in Theorem 1.2: Theorem 3.6. In addition to Assumption 1.1, we assume that k 2 is not a Dirichlet eigenvalue of in B 1, B 2. Take a positive number λ 0 > 0. 13
14 Then, for z R 3 \B 2 z Ω 1 (φ z,ϕ n L 2 (S 2 2 <, (3.24 λ n n=1 where (λ n,ϕ n is a complete eigensystem of F # given by F # := ReF + ImF, (3.25 where F := F Mix +F Dir B 1 B 2. Here, the function φ z is given by (1.11. Remark 3.7. We can also give the characterization of the Neumann part Ω 2 if we assume Ω 1 B 1, B 2 Ω 2, B 1 Ω 2 = by the same argument in Theorem 1.2 (See Figure 4. B 1 B 2 Ω 1 Dirichlet Ω 2 Neumann Figure 4: 4 The second case In Section 4, we prove Theorem 1.4. Let Assumption 1.3 hold. We define G Mix Ω 1 0,B 2 : L 2 (Ω 1 H 1/2 ( B 2 L 2 (S 2 by ( G Mix f Ω 1 0,B 2 := v, (4.1 g where v is the far field pattern of a radiating solution v such that v +k 2 v = k 2 q q f in R 3 \B 2, (4.2 v = g on B 2. (4.3 Note that we extend q by zero outside Ω 1. Next, we define R 1 : L 2 (Ω 1 H 1/2 ( Ω 2 L 2 (Ω 1 H 1/2 ( B 2 by ( ( f1 f R 1 := 1 + q v 1 g 1 v B2, (
15 where v 1 is a radiating solution such that v 1 +k 2 (1+qv 1 = k 2 q q f 1 in R 3 \Ω 2, (4.5 Then, from the definition of R 1, we obtain v 1 = g 1 on Ω 2. (4.6 G Mix = G Mix Ω 1 0,B 2 R 1. (4.7 We define R 2 : H 1/2 ( B 2 L 2 (Ω 1 H 1/2 ( B 2 by ( 0 R 2 f 2 :=. (4.8 Then, from the definition of R 2, we obtain f 2 G Dir B 2 = G Mix Ω 1 0,B 2 R 2. (4.9 Here, take a positive number λ 0 > 0, and a bounded domain B 3 with B 3 B 2. We define R 3 : H 1/2 ( B 3 H 1/2 ( B 2 by where v 3 is a radiating solution such that R 3 f 3 := v 3 B2, (4.10 v 3 +k 2 v 3 = 0 in R 3 \B 3, (4.11 v 3 ν B3 +iλ 0 v 3 = f 3 on B 3. (4.12 Then, from the definition of R 3, and (4.9, we obtain G Imp B 3,iλ 0 = G Dir B 2 R 3 = G Mix Ω 1 0,B 2 R 2 R 3. (4.13 By (4.7, (4.9, (4.13, and the factorization of the far field operator in Section 2, we have where M := F Mix +F Dir B 2 +F Imp B 3,iλ 0 = G Mix Ω 1 0,B 2 MG Mix Ω 1 0,B 2, (4.14 [ R 1 M Mix R 1 R 2S B 2 R 2 R 2R 3 T Imp B 3,iλ 0 R 3 R 2 The following properties are given by the same argument in Theorem 3.2 (c in [10]: 15 ].
16 Lemma 4.1. (a The operator G Mix Ω 1 0,B 2 : L 2 (Ω 1 H 1/2 ( B 2 L 2 (S 2 is compact with dense range in L 2 (S 2. (b For z R 3 \B 2 z Ω 1 φ z Ran(G Mix Ω 1 0,B 2, (4.15 where the function φ z is given by (1.11. To prove Theorem 1.4, we apply Theorem 2.4 to this case with F = FΩ Mix 1 q,ω 2 +FB Dir 2 +F Imp B 3,iλ 0. First, we show the following lemma: ( I 0 Lemma 4.2. (a R 1, R are compact. (b R 1 is injective. (c R3 is injective. ( I 0 Proof. (a Themappings R 1 : L (Ω 1 H 1/2 ( Ω 2 H 1 (Ω 1 H 1 ( B 2, and R 3 : H 1/2 ( B 3 H 1 ( B 2 are bounded since they are ( ( f1 q v1 given by g 1 v B2, and f 3 v B2 3, respectively. By Rellich 1 theorem, they are compact. (b Assume that ( ( f1 f R 1 = 1 + q v 1 g 1 v B2 = 0. ( Equation (4.5 yields that v 1 +k 2 v 1 = 0 in R 3 \B 2, (4.17 v 1 = 0 on B 2. (4.18 By the uniqueness of the exterior Dirichlet problem, v 1 vanishes outside of B 2. Therefore, f 1 = 0. Furthermore, the analyticity of v 1 yields that v 1 also vanishes in B 2 \Ω 2, which implies that g 1 = 0. (c The injectivity of R3 follows from the same argument as done in the proof of Lemma 3.2 in [9]. By Lemma 4.2, the middle operator M of (4.14 has the following properties: 16
17 Lemma 4.3. (a Re ( e it M has the form Re ( e it M = C +K with some self-adjoint and positive coercive operator C, and some compact operator K. (b Im ϕ,m ϕ 0 for all ϕ L 2 (Ω 1 H 1/2 ( B 2. (c M is injective. Proof. (a By Lemma 2.1 (b, Lemma 2.3 (b, and Lemma 4.2 (a, Re ( e it M ( = Re e it R 1 MΩ Mix 1 q,ω 2 R1 eit R 2 S B2 R2 eit R 2 R 3 T Imp B 3,iλ 0 R3 R 2 ( Re( eit q = R 1 k 2 q 0 R1 R 2 (cos ts B2,iR2 +K 0 (cos ts Ω2,i ( ( I 0 Re( eit q ( = k 2 q 0 I (cos ts Ω2,i 0 0 R 2 (cos ts B2,iR 2 +K = ( Re( eit q k 2 q 0 0 ( cos ts B2,i +K, (4.19 where K and K are some compact operators. The first term of the right hand side in (4.19 is self-adjoint and positive coercive since ( cos t > 0 when t (π/2,3π/2, and Assumption 1.3 (iv yields ϕ,re ( e it q k 2 q ϕ = ϕ 2Re(e it q Ω 1 k 2 dx q ϕ 2 C q Ω 1 k 2 q dx = C k 2 ϕ 2 L 2 (Ω 1. (4.20 (bbylemma2.1(c, Lemma2.3(c(d, forallϕ L 2 (Ω 1 H 1/2 ( B 2 Im ϕ,m ϕ = Im R 1ϕ,M Mix R 1ϕ Im R 2ϕ,S B2 R 2ϕ +Im T Imp B 3,iλ 0 R 3R 2ϕ,R 3R 2ϕ 0. (
18 ( φ (c Let φ L 2 (Ω 1 and ψ H 1/2 ( B 2. Assume that M = 0. ψ Inequality (4.21 yields that ( ( Im T Imp B 3,iλ 0 R3R 2 φ,r ψ 3R2 φ = 0, (4.22 ψ ( φ which implies that R3 R 2 = 0 from Lemma 2.1 (d. By Lemma 4.2 ψ (c, and the definition of R 2, we have ψ = 0. Therefore, ( ( M φ = R 0 1 MΩ Mix 1 q,ω 2 R1 φ = 0. ( From Lemma 4.2 (b and Lemma 2.3 (d, we obtain ( ( R1 φ 0 =. ( Finally, we will show φ = 0. Let f 1 L 2 (Ω 1. Take radiating solutions v 1 and w such that v 1 +k 2 (1+qv 1 = k 2 q q f 1 in R 3 \Ω 2, (4.25 By (4.24, 0 = = ( f 1 0 By (4.25 and (4.27, v 1 = 0 on Ω 2, (4.26 w +k 2 (1+qw = q φ in R 3 \Ω 2, (4.27 Ω 1 f 1 φdx+ Ω 1 v 1 q φdx = (,R1 φ 0 w = 0 on Ω 2. (4.28 ( f 1 + q v 1 = v B2 1 ( φ, 0 Ω 1 v 1 q φdx. (4.29 ( v 1 w +k 2 (1+qw dx Ω 1 ( v 1 +k 2 (1+qv 1 +k 2 q f 1 wdx q Ω 1 = k 2 q f 1 wdx Ω 1 q + ( wv 1 w( v 1 dx. (4.30 Ω 1 18
19 By using Green s theorem, (4.26, and (4.28, ( wv 1 w( v 1 dx = ( wv 1 w( v 1 dx Ω 1 R 3 \Ω 2 [ w = v 1 w v ] ds Ω 2 ν Ω2 ν Ω2 = 0. (4.31 By (4.29 (4.31, φ = k 2 q q w in Ω 1. (4.32 From (4.32, (4.27, and (4.28, we obtain w+k 2 w = 0 in R 3 \Ω 2, (4.33 w = 0 on Ω 2, (4.34 which proves that w vanishes in R 3 \Ω 2 by the uniqueness of the exterior Dirichlet problem. Therefore, equation (4.32 yields that φ = 0. Therefore, by Lemma 4.3, we can apply Theorem 2.4 to this case with F = FΩ Mix 1 q,ω 2 +FB Dir 2 +F Imp B 3,iλ 0. From Lemma4.1 (b, andapplyingtheorem 2.4, we obtain Theorem 1.4. Remark 4.4. We can also consider various situations on Ω 2 like Remark 3.4, and replace the assumption of taking B 3 with that k 2 is not a Dirichlet eigenvalue of in an artificial domain B 2 like Remark 3.5. We can also give the characterization by replacing (iv in Assumption 1.3 with (iv There exists t [0,π/2 (3π/2,2π] and C > 0 such that Re(e it q C q a.e. in Ω 1. by the same argument in Theorem 1.4: Assumption 4.5. Let a bounded domain B 2 be a priori known. Assume the following assumptions: (i q L (Ω 1 with Imq 0 in Ω 1. (ii q is locally bounded below in Ω 1, i.e., for every compact subset M Ω 1, there exists c > 0 (depend on M such that q c in M. 19
20 (iii Ω 2 B 2, Ω 1 B 2 =. (iv There exists t [0,π/2 (3π/2,2π] and C > 0 such that Re(e it q C q a.e. in Ω 1. Theorem 4.6. Let Assumption 4.5 hold. Take a positive number λ 0 > 0. Then, for z R 3 \B 2 z Ω 1 (φ z,ϕ n L 2 (S 2 2 <, (4.35 λ n n=1 where (λ n,ϕ n is a complete eigensystem of F # given by F # := Re ( e it F + ImF, (4.36 where F := F Mix +F Imp B 2,iλ 0. Here, the function φ z is given by (1.11. Conclusion In this paper, we give the characterization of the unknown domain Ω 1 in a scatterer consisting of two objects with different physical properties without the assumption of the wave number k > 0. To realize it, we modify the original far field operator F by adding artificial far field operators corresponding to an inner domain B 1, an outer domain B 2, and an additional domain B 3. This idea is mainly based on [9], which treats only a scattering by an obstacle with the pure Dirichlet or Neumann boundary condition. In Section 4 of [9], numerical examples are given to compare modification method (which use the artificial far field operator corresponding to an inner domain with previous method numerically, where we find that the modification method provides numerically a better reconstruction than previous one. Therefore, we expect that even in a scatterer consisting of two objects with different physical properties, our modification method (which use several artificial far field operators would also provide a better reconstruction than previous ones such as [10, 13]. Acknowledgments First, the author would like to express his deep gratitude to Professor Mitsuru Sugimoto, who always supports him in his study. Secondly, he thanks to Professor Masaru Ikehata and Professor Sei Nagayasu, who read this paper carefully and gave him many helpful comments. The author also thanks 20
21 to Professor Andreas Kirsch, and Professor Xiaodong Liu, and the referees who gave him valuable comments which helped to improve this paper. References [1] K. A. Anagnostopoulos and A. Charalambopoulos and A. Kleefeld, The factorization method for the acoustic transmission problem, Inverse Problems 29, (2013, [2] O. Bondarenko and A. Kirsch and X. Liu, The factorization method for inverse acoustic scattering in a layered medium, Inverse Problems 29, (2013, [3] D. Colton and A. Kirsch, A simple method for solving inverse scattering problems in the resonance region, Inverse Problems 12, (1996, [4] D. Colton and R. Kress, Inverse acoustic and electromagnetic scattering theory, Third edition. Applied Mathematical Sciences, 93 Springer, New York, (2013. [5] A. Kirsch, Characterization of the shape of a scattering obstacle using the spectral data of the far field operator, Inverse Problems 14, (1998, [6] A. Kirsch and A. Kleefeld, The factorization method for a conductive boundary condition, J. Integral Equations Appl. 24, (2012, [7] A. Kirsch and N. Grinberg, The factorization method for inverse problems, Oxford University Press, (2008. [8] A. Kirsch and N. Grinberg, The factorization method for obstacles with a priori separated sound-soft and sound-hard parts, Math. Comput. Simulation 66 (2004, [9] A. Kirsch and X. Liu, A modification of the factorization method for the classical acoustic inverse scattering problems, Inverse Problems 30, (2014, [10] A. Kirsch and X. Liu, Direct and inverse acoustic scattering by a mixedtype scatterer, Inverse Problems 29 (2013, [11] A. Kirsch and X. Liu, The factorization method for inverse acoustic scattering by a penetrable anisotropic obstacle, Math. Methods Appl. Sci. 37, (2014,
22 [12] A. Lechleiter, The factorization method is independent of transmission eigenvalues, Inverse Probl. Imaging 3 (2009, [13] X. Liu, The factorization method for scatterers with different physical properties, Discrete Contin. Dyn. Syst. Ser. S 8, (2015, [14] X. Liu and B. Zhang and G. Hu, Uniqueness in the inverse scattering problem in a piecewise homogeneous medium, Inverse Problems 26 (2010, [15] W. McLean, Strongly elliptic systems and boundary integral equations, Cambridge University Press, Cambridge, (2000. [16] R. Potthast, Stability estimates and reconstructions in inverse acoustic scattering using singular sources, J. Comput. Appl. Math. 114, (2000, [17] J. Yang and B. Zhang and H. Zhang, The factorization method for reconstructing a penetrable obstacle with unknown buried objects, SIAM J. Appl. Math. 73, (2013, Graduate School of Mathematics, Nagoya University, Furocho, Chikusaku, Nagoya, , Japan takashi.furuya0101@gmail.com 22
The Factorization Method for Inverse Scattering Problems Part I
The Factorization Method for Inverse Scattering Problems Part I Andreas Kirsch Madrid 2011 Department of Mathematics KIT University of the State of Baden-Württemberg and National Large-scale Research Center
More informationFactorization method in inverse
Title: Name: Affil./Addr.: Factorization method in inverse scattering Armin Lechleiter University of Bremen Zentrum für Technomathematik Bibliothekstr. 1 28359 Bremen Germany Phone: +49 (421) 218-63891
More informationThe factorization method for a cavity in an inhomogeneous medium
Home Search Collections Journals About Contact us My IOPscience The factorization method for a cavity in an inhomogeneous medium This content has been downloaded from IOPscience. Please scroll down to
More informationON THE MATHEMATICAL BASIS OF THE LINEAR SAMPLING METHOD
Georgian Mathematical Journal Volume 10 (2003), Number 3, 411 425 ON THE MATHEMATICAL BASIS OF THE LINEAR SAMPLING METHOD FIORALBA CAKONI AND DAVID COLTON Dedicated to the memory of Professor Victor Kupradze
More informationA Direct Method for reconstructing inclusions from Electrostatic Data
A Direct Method for reconstructing inclusions from Electrostatic Data Isaac Harris Texas A&M University, Department of Mathematics College Station, Texas 77843-3368 iharris@math.tamu.edu Joint work with:
More informationThe Factorization Method for a Class of Inverse Elliptic Problems
1 The Factorization Method for a Class of Inverse Elliptic Problems Andreas Kirsch Mathematisches Institut II Universität Karlsruhe (TH), Germany email: kirsch@math.uni-karlsruhe.de Version of June 20,
More informationInverse Scattering Theory: Transmission Eigenvalues and Non-destructive Testing
Inverse Scattering Theory: Transmission Eigenvalues and Non-destructive Testing Isaac Harris Texas A & M University College Station, Texas 77843-3368 iharris@math.tamu.edu Joint work with: F. Cakoni, H.
More informationAn eigenvalue method using multiple frequency data for inverse scattering problems
An eigenvalue method using multiple frequency data for inverse scattering problems Jiguang Sun Abstract Dirichlet and transmission eigenvalues have important applications in qualitative methods in inverse
More informationarxiv: v3 [math.ap] 4 Jan 2017
Recovery of an embedded obstacle and its surrounding medium by formally-determined scattering data Hongyu Liu 1 and Xiaodong Liu arxiv:1610.05836v3 [math.ap] 4 Jan 017 1 Department of Mathematics, Hong
More informationInverse Obstacle Scattering
, Göttingen AIP 2011, Pre-Conference Workshop Texas A&M University, May 2011 Scattering theory Scattering theory is concerned with the effects that obstacles and inhomogenities have on the propagation
More informationON THE EXISTENCE OF TRANSMISSION EIGENVALUES. Andreas Kirsch1
Manuscript submitted to AIMS Journals Volume 3, Number 2, May 29 Website: http://aimsciences.org pp. 1 XX ON THE EXISTENCE OF TRANSMISSION EIGENVALUES Andreas Kirsch1 University of Karlsruhe epartment
More informationarxiv: v1 [math.ap] 21 Dec 2018
Uniqueness to Inverse Acoustic and Electromagnetic Scattering From Locally Perturbed Rough Surfaces Yu Zhao, Guanghui Hu, Baoqiang Yan arxiv:1812.09009v1 [math.ap] 21 Dec 2018 Abstract In this paper, we
More informationInverse wave scattering problems: fast algorithms, resonance and applications
Inverse wave scattering problems: fast algorithms, resonance and applications Wagner B. Muniz Department of Mathematics Federal University of Santa Catarina (UFSC) w.b.muniz@ufsc.br III Colóquio de Matemática
More informationUniqueness in determining refractive indices by formally determined far-field data
Applicable Analysis, 2015 Vol. 94, No. 6, 1259 1269, http://dx.doi.org/10.1080/00036811.2014.924215 Uniqueness in determining refractive indices by formally determined far-field data Guanghui Hu a, Jingzhi
More informationA coupled BEM and FEM for the interior transmission problem
A coupled BEM and FEM for the interior transmission problem George C. Hsiao, Liwei Xu, Fengshan Liu, Jiguang Sun Abstract The interior transmission problem (ITP) is a boundary value problem arising in
More informationDiscreteness of Transmission Eigenvalues via Upper Triangular Compact Operators
Discreteness of Transmission Eigenvalues via Upper Triangular Compact Operators John Sylvester Department of Mathematics University of Washington Seattle, Washington 98195 U.S.A. June 3, 2011 This research
More informationEstimation of transmission eigenvalues and the index of refraction from Cauchy data
Estimation of transmission eigenvalues and the index of refraction from Cauchy data Jiguang Sun Abstract Recently the transmission eigenvalue problem has come to play an important role and received a lot
More informationNotes on Transmission Eigenvalues
Notes on Transmission Eigenvalues Cédric Bellis December 28, 2011 Contents 1 Scattering by inhomogeneous medium 1 2 Inverse scattering via the linear sampling method 2 2.1 Relationship with the solution
More informationTHE INTERIOR TRANSMISSION PROBLEM FOR REGIONS WITH CAVITIES
THE INTERIOR TRANSMISSION PROBLEM FOR REGIONS WITH CAVITIES FIORALBA CAKONI, AVI COLTON, AN HOUSSEM HAAR Abstract. We consider the interior transmission problem in the case when the inhomogeneous medium
More informationMonotonicity-based inverse scattering
Monotonicity-based inverse scattering Bastian von Harrach http://numerical.solutions Institute of Mathematics, Goethe University Frankfurt, Germany (joint work with M. Salo and V. Pohjola, University of
More informationSome Old and Some New Results in Inverse Obstacle Scattering
Some Old and Some New Results in Inverse Obstacle Scattering Rainer Kress Abstract We will survey on uniqueness, that is, identifiability and on reconstruction issues for inverse obstacle scattering for
More informationDIRECT SAMPLING METHODS FOR INVERSE SCATTERING PROBLEMS
Michigan Technological University Digital Commons @ Michigan Tech Dissertations, Master's Theses and Master's Reports 2017 DIRECT SAMPLING METHODS FOR INVERSE SCATTERING PROBLEMS Ala Mahmood Nahar Al Zaalig
More informationThe Inside-Outside Duality for Scattering Problems by Inhomogeneous Media
The Inside-Outside uality for Scattering Problems by Inhomogeneous Media Andreas Kirsch epartment of Mathematics Karlsruhe Institute of Technology (KIT) 76131 Karlsruhe Germany and Armin Lechleiter Center
More informationSTEKLOFF EIGENVALUES AND INVERSE SCATTERING THEORY
STEKLOFF EIGENVALUES AND INVERSE SCATTERING THEORY David Colton, Shixu Meng, Peter Monk University of Delaware Fioralba Cakoni Rutgers University Research supported by AFOSR Grant FA 9550-13-1-0199 Scattering
More informationCoercivity of high-frequency scattering problems
Coercivity of high-frequency scattering problems Valery Smyshlyaev Department of Mathematics, University College London Joint work with: Euan Spence (Bath), Ilia Kamotski (UCL); Comm Pure Appl Math 2015.
More informationUniqueness in an inverse acoustic obstacle scattering problem for both sound-hard and sound-soft polyhedral scatterers
INSTITUTE OF PHYSICS PUBLISHING Inverse Problems 22 (2006) 515 524 INVERSE PROBLEMS doi:10.1088/0266-5611/22/2/008 Uniqueness in an inverse acoustic obstacle scattering problem for both sound-hard and
More informationThe Factorization method applied to cracks with impedance boundary conditions
The Factorization method applied to cracks with impedance boundary conditions Yosra Boukari, Houssem Haddar To cite this version: Yosra Boukari, Houssem Haddar. The Factorization method applied to cracks
More informationThe Helmholtz Equation
The Helmholtz Equation Seminar BEM on Wave Scattering Rene Rühr ETH Zürich October 28, 2010 Outline Steklov-Poincare Operator Helmholtz Equation: From the Wave equation to Radiation condition Uniqueness
More informationOrthogonality Sampling for Object Visualization
Orthogonality ampling for Object Visualization Roland Potthast October 31, 2007 Abstract The goal of this paper is to propose a new sampling algorithm denoted as orthogonality sampling for the detection
More informationHomogenization of the Transmission Eigenvalue Problem for a Periodic Media
Homogenization of the Transmission Eigenvalue Problem for a Periodic Media Isaac Harris Texas A&M University, Department of Mathematics College Station, Texas 77843-3368 iharris@math.tamu.edu Joint work
More informationOn spherical-wave scattering by a spherical scatterer and related near-field inverse problems
IMA Journal of Applied Mathematics (2001) 66, 539 549 On spherical-wave scattering by a spherical scatterer and related near-field inverse problems C. ATHANASIADIS Department of Mathematics, University
More informationThe Imaging of Anisotropic Media in Inverse Electromagnetic Scattering
The Imaging of Anisotropic Media in Inverse Electromagnetic Scattering Fioralba Cakoni Department of Mathematical Sciences University of Delaware Newark, DE 19716, USA email: cakoni@math.udel.edu Research
More informationWhen is the error in the h BEM for solving the Helmholtz equation bounded independently of k?
BIT manuscript No. (will be inserted by the editor) When is the error in the h BEM for solving the Helmholtz equation bounded independently of k? I. G. Graham M. Löhndorf J. M. Melenk E. A. Spence Received:
More informationNEW RESULTS ON TRANSMISSION EIGENVALUES. Fioralba Cakoni. Drossos Gintides
Inverse Problems and Imaging Volume 0, No. 0, 0, 0 Web site: http://www.aimsciences.org NEW RESULTS ON TRANSMISSION EIGENVALUES Fioralba Cakoni epartment of Mathematical Sciences University of elaware
More informationReconstructing inclusions from Electrostatic Data
Reconstructing inclusions from Electrostatic Data Isaac Harris Texas A&M University, Department of Mathematics College Station, Texas 77843-3368 iharris@math.tamu.edu Joint work with: W. Rundell Purdue
More informationInverse scattering problem from an impedance obstacle
Inverse Inverse scattering problem from an impedance obstacle Department of Mathematics, NCKU 5 th Workshop on Boundary Element Methods, Integral Equations and Related Topics in Taiwan NSYSU, October 4,
More informationTransmission eigenvalues with artificial background for explicit material index identification
Transmission eigenvalues with artificial background for explicit material index identification Lorenzo Audibert 1,, Lucas Chesnel, Houssem Haddar 1 Department STEP, EDF R&D, 6 quai Watier, 78401, Chatou
More informationThe linear sampling method for three-dimensional inverse scattering problems
ANZIAM J. 42 (E) ppc434 C46, 2 C434 The linear sampling method for three-dimensional inverse scattering problems David Colton Klaus Giebermann Peter Monk (Received 7 August 2) Abstract The inverse scattering
More informationLECTURE 5 APPLICATIONS OF BDIE METHOD: ACOUSTIC SCATTERING BY INHOMOGENEOUS ANISOTROPIC OBSTACLES DAVID NATROSHVILI
LECTURE 5 APPLICATIONS OF BDIE METHOD: ACOUSTIC SCATTERING BY INHOMOGENEOUS ANISOTROPIC OBSTACLES DAVID NATROSHVILI Georgian Technical University Tbilisi, GEORGIA 0-0 1. Formulation of the corresponding
More informationTransmission Eigenvalues in Inverse Scattering Theory
Transmission Eigenvalues in Inverse Scattering Theory Fioralba Cakoni Department of Mathematical Sciences University of Delaware Newark, DE 19716, USA email: cakoni@math.udel.edu Jointly with D. Colton,
More informationOn the Spectrum of Volume Integral Operators in Acoustic Scattering
11 On the Spectrum of Volume Integral Operators in Acoustic Scattering M. Costabel IRMAR, Université de Rennes 1, France; martin.costabel@univ-rennes1.fr 11.1 Volume Integral Equations in Acoustic Scattering
More informationRecent progress on the factorization method for electrical impedance tomography
Recent progress on the factorization method for electrical impedance tomography Bastian von Harrach harrach@math.uni-stuttgart.de Chair of Optimization and Inverse Problems, University of Stuttgart, Germany
More informationLooking Back on Inverse Scattering Theory
Looking Back on Inverse Scattering Theory David Colton and Rainer Kress History will be kind to me for I intend to write it Abstract Winston Churchill We present an essay on the mathematical development
More informationTransmission Eigenvalues in Inverse Scattering Theory
Transmission Eigenvalues in Inverse Scattering Theory David Colton Department of Mathematical Sciences University of Delaware Newark, DE 19716, USA email: colton@math.udel.edu Research supported by a grant
More informationNew Helmholtz-Weyl decomposition in L r and its applications to the mathematical fluid mechanics
New Helmholtz-Weyl decomposition in L r and its applications to the mathematical fluid mechanics Hideo Kozono Mathematical Institute Tohoku University Sendai 980-8578 Japan Taku Yanagisawa Department of
More informationThe Interior Transmission Eigenvalue Problem for Maxwell s Equations
The Interior Transmission Eigenvalue Problem for Maxwell s Equations Andreas Kirsch MSRI 2010 epartment of Mathematics KIT University of the State of Baden-Württemberg and National Large-scale Research
More informationThe Factorization Method for Maxwell s Equations
The Factorization Method for Maxwell s Equations Andreas Kirsch University of Karlsruhe Department of Mathematics 76128 Karlsruhe Germany December 15, 2004 Abstract: The factorization method can be applied
More informationA new method for the solution of scattering problems
A new method for the solution of scattering problems Thorsten Hohage, Frank Schmidt and Lin Zschiedrich Konrad-Zuse-Zentrum Berlin, hohage@zibde * after February 22: University of Göttingen Abstract We
More informationIncreasing stability in an inverse problem for the acoustic equation
Increasing stability in an inverse problem for the acoustic equation Sei Nagayasu Gunther Uhlmann Jenn-Nan Wang Abstract In this work we study the inverse boundary value problem of determining the refractive
More informationSurvey of Inverse Problems For Hyperbolic PDEs
Survey of Inverse Problems For Hyperbolic PDEs Rakesh Department of Mathematical Sciences University of Delaware Newark, DE 19716, USA Email: rakesh@math.udel.edu January 14, 2011 1 Problem Formulation
More informationRECENT DEVELOPMENTS IN INVERSE ACOUSTIC SCATTERING THEORY
RECENT DEVELOPMENTS IN INVERSE ACOUSTIC SCATTERING THEORY DAVID COLTON, JOE COYLE, AND PETER MONK Abstract. We survey some of the highlights of inverse scattering theory as it has developed over the past
More informationMonotonicity arguments in electrical impedance tomography
Monotonicity arguments in electrical impedance tomography Bastian Gebauer gebauer@math.uni-mainz.de Institut für Mathematik, Joh. Gutenberg-Universität Mainz, Germany NAM-Kolloquium, Georg-August-Universität
More informationIntroduction to the Boundary Element Method
Introduction to the Boundary Element Method Salim Meddahi University of Oviedo, Spain University of Trento, Trento April 27 - May 15, 2015 1 Syllabus The Laplace problem Potential theory: the classical
More informationStrong Stabilization of the System of Linear Elasticity by a Dirichlet Boundary Feedback
To appear in IMA J. Appl. Math. Strong Stabilization of the System of Linear Elasticity by a Dirichlet Boundary Feedback Wei-Jiu Liu and Miroslav Krstić Department of AMES University of California at San
More informationWeak Formulation of Elliptic BVP s
Weak Formulation of Elliptic BVP s There are a large number of problems of physical interest that can be formulated in the abstract setting in which the Lax-Milgram lemma is applied to an equation expressed
More informationThe Asymptotic of Transmission Eigenvalues for a Domain with a Thin Coating
The Asymptotic of Transmission Eigenvalues for a Domain with a Thin Coating Hanen Boujlida, Houssem Haddar, Moez Khenissi To cite this version: Hanen Boujlida, Houssem Haddar, Moez Khenissi. The Asymptotic
More informationShape design problem of waveguide by controlling resonance
DD3 Domain Decomposition 3, June 6-10, 015 at ICC-Jeju, Jeju Island, Korea Shape design problem of waveguide by controlling resonance KAKO, Takashi Professor Emeritus & Industry-academia-government collaboration
More informationA Parallel Schwarz Method for Multiple Scattering Problems
A Parallel Schwarz Method for Multiple Scattering Problems Daisuke Koyama The University of Electro-Communications, Chofu, Japan, koyama@imuecacjp 1 Introduction Multiple scattering of waves is one of
More informationFactorization Method for Electromagnetic Inverse Scattering from Biperiodic Structures
Factorization Method for Electromagnetic Inverse Scattering from Biperiodic Structures Armin Lecheiter, inh Liem Nguyen To cite this version: Armin Lecheiter, inh Liem Nguyen. Factorization Method for
More informationReverse Time Migration for Extended Obstacles: Acoustic Waves
Reverse Time Migration for Extended Obstacles: Acoustic Waves Junqing Chen, Zhiming Chen, Guanghui Huang epartment of Mathematical Sciences, Tsinghua University, Beijing 8, China LSEC, Institute of Computational
More informationVolume and surface integral equations for electromagnetic scattering by a dielectric body
Volume and surface integral equations for electromagnetic scattering by a dielectric body M. Costabel, E. Darrigrand, and E. H. Koné IRMAR, Université de Rennes 1,Campus de Beaulieu, 35042 Rennes, FRANCE
More informationSHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction
SHARP BOUNDARY TRACE INEQUALITIES GILES AUCHMUTY Abstract. This paper describes sharp inequalities for the trace of Sobolev functions on the boundary of a bounded region R N. The inequalities bound (semi-)norms
More informationFrequency functions, monotonicity formulas, and the thin obstacle problem
Frequency functions, monotonicity formulas, and the thin obstacle problem IMA - University of Minnesota March 4, 2013 Thank you for the invitation! In this talk we will present an overview of the parabolic
More informationAnalytic extention and reconstruction of obstacles from few measurements for elliptic second order operators
www.oeaw.ac.at Analytic extention and reconstruction of obstacles from few measurements for elliptic second order operators N. Honda, G. Nakamura, M. Sini RICAM-Report 008-05 www.ricam.oeaw.ac.at Analytic
More informationLECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES. Sergey Korotov,
LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES Sergey Korotov, Institute of Mathematics Helsinki University of Technology, Finland Academy of Finland 1 Main Problem in Mathematical
More informationA Factorization Method for Multifrequency Inverse Source Problems with Sparse Far Field Measurements
SIAM J. IMAGING SCIENCES Vol. 1, No. 4, pp. 2119 2139 c 217 Society for Industrial and Applied Mathematics A Factorization Method for Multifrequency Inverse Source Problems with Sparse Far Field Measurements
More informationBEHAVIOR OF THE REGULARIZED SAMPLING INVERSE SCATTERING METHOD AT INTERNAL RESONANCE FREQUENCIES
Progress In Electromagnetics Research, PIER 38, 29 45, 2002 BEHAVIOR OF THE REGULARIZED SAMPLING INVERSE SCATTERING METHOD AT INTERNAL RESONANCE FREQUENCIES N. Shelton and K. F. Warnick Department of Electrical
More informationProceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005
Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005 SOME INVERSE SCATTERING PROBLEMS FOR TWO-DIMENSIONAL SCHRÖDINGER
More information44 CHAPTER 3. CAVITY SCATTERING
44 CHAPTER 3. CAVITY SCATTERING For the TE polarization case, the incident wave has the electric field parallel to the x 3 -axis, which is also the infinite axis of the aperture. Since both the incident
More informationNumerical Solutions to Partial Differential Equations
Numerical Solutions to Partial Differential Equations Zhiping Li LMAM and School of Mathematical Sciences Peking University Sobolev Embedding Theorems Embedding Operators and the Sobolev Embedding Theorem
More informationA note on the MUSIC algorithm for impedance tomography
A note on the MUSIC algorithm for impedance tomography Martin Hanke Institut für Mathematik, Johannes Gutenberg-Universität, 55099 Mainz, Germany E-mail: hanke@math.uni-mainz.de Abstract. We investigate
More informationWeak Convergence Methods for Energy Minimization
Weak Convergence Methods for Energy Minimization Bo Li Department of Mathematics University of California, San Diego E-mail: bli@math.ucsd.edu June 3, 2007 Introduction This compact set of notes present
More informationAsymptotic distribution of eigenvalues of Laplace operator
Asymptotic distribution of eigenvalues of Laplace operator 23.8.2013 Topics We will talk about: the number of eigenvalues of Laplace operator smaller than some λ as a function of λ asymptotic behaviour
More informationA method for creating materials with a desired refraction coefficient
This is the author s final, peer-reviewed manuscript as accepted for publication. The publisher-formatted version may be available through the publisher s web site or your institution s library. A method
More informationTransmission eigenvalues and non-destructive testing of anisotropic magnetic materials with voids
Transmission eigenvalues and non-destructive testing of anisotropic magnetic materials with voids Isaac Harris 1, Fioralba Cakoni 1 and Jiguang Sun 2 1 epartment of Mathematical Sciences, University of
More informationA Concise Course on Stochastic Partial Differential Equations
A Concise Course on Stochastic Partial Differential Equations Michael Röckner Reference: C. Prevot, M. Röckner: Springer LN in Math. 1905, Berlin (2007) And see the references therein for the original
More informationNONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS
Fixed Point Theory, Volume 9, No. 1, 28, 3-16 http://www.math.ubbcluj.ro/ nodeacj/sfptcj.html NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS GIOVANNI ANELLO Department of Mathematics University
More informationEMBEDDING OPERATORS AND BOUNDARY-VALUE PROBLEMS FOR ROUGH DOMAINS
EMBEDDING OPERATORS AND BOUNDARY-VALUE PROBLEMS FOR ROUGH DOMAINS Vladimir M. GOL DSHTEIN Mathematics Department, Ben Gurion University of the Negev P.O.Box 653, Beer Sheva, 84105, Israel, vladimir@bgumail.bgu.ac.il
More informationShort note on compact operators - Monday 24 th March, Sylvester Eriksson-Bique
Short note on compact operators - Monday 24 th March, 2014 Sylvester Eriksson-Bique 1 Introduction In this note I will give a short outline about the structure theory of compact operators. I restrict attention
More informationThe Linear Sampling Method and the MUSIC Algorithm
CODEN:LUTEDX/(TEAT-7089)/1-6/(2000) The Linear Sampling Method and the MUSIC Algorithm Margaret Cheney Department of Electroscience Electromagnetic Theory Lund Institute of Technology Sweden Margaret Cheney
More informationComplex geometrical optics solutions for Lipschitz conductivities
Rev. Mat. Iberoamericana 19 (2003), 57 72 Complex geometrical optics solutions for Lipschitz conductivities Lassi Päivärinta, Alexander Panchenko and Gunther Uhlmann Abstract We prove the existence of
More informationOn m-accretive Schrödinger operators in L p -spaces on manifolds of bounded geometry
On m-accretive Schrödinger operators in L p -spaces on manifolds of bounded geometry Ognjen Milatovic Department of Mathematics and Statistics University of North Florida Jacksonville, FL 32224 USA. Abstract
More informationSTOKES PROBLEM WITH SEVERAL TYPES OF BOUNDARY CONDITIONS IN AN EXTERIOR DOMAIN
Electronic Journal of Differential Equations, Vol. 2013 2013, No. 196, pp. 1 28. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu STOKES PROBLEM
More informationA far-field based T-matrix method for three dimensional acoustic scattering
ANZIAM J. 50 (CTAC2008) pp.c121 C136, 2008 C121 A far-field based T-matrix method for three dimensional acoustic scattering M. Ganesh 1 S. C. Hawkins 2 (Received 14 August 2008; revised 4 October 2008)
More informationOn the discrete boundary value problem for anisotropic equation
On the discrete boundary value problem for anisotropic equation Marek Galewski, Szymon G l ab August 4, 0 Abstract In this paper we consider the discrete anisotropic boundary value problem using critical
More informationA REMARK ON MINIMAL NODAL SOLUTIONS OF AN ELLIPTIC PROBLEM IN A BALL. Olaf Torné. 1. Introduction
Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 24, 2004, 199 207 A REMARK ON MINIMAL NODAL SOLUTIONS OF AN ELLIPTIC PROBLEM IN A BALL Olaf Torné (Submitted by Michel
More informationRobustness for a Liouville type theorem in exterior domains
Robustness for a Liouville type theorem in exterior domains Juliette Bouhours 1 arxiv:1207.0329v3 [math.ap] 24 Oct 2014 1 UPMC Univ Paris 06, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris,
More informationElectric potentials with localized divergence properties
Electric potentials with localized divergence properties Bastian Gebauer bastian.gebauer@oeaw.ac.at Johann Radon Institute for Computational and Applied Mathematics (RICAM) Austrian Academy of Sciences,
More informationMath The Laplacian. 1 Green s Identities, Fundamental Solution
Math. 209 The Laplacian Green s Identities, Fundamental Solution Let be a bounded open set in R n, n 2, with smooth boundary. The fact that the boundary is smooth means that at each point x the external
More informationStrong stabilization of the system of linear elasticity by a Dirichlet boundary feedback
IMA Journal of Applied Mathematics (2000) 65, 109 121 Strong stabilization of the system of linear elasticity by a Dirichlet boundary feedback WEI-JIU LIU AND MIROSLAV KRSTIĆ Department of AMES, University
More informationSingular boundary value problems
Department of Mathematics, Faculty of Science, Palacký University, 17. listopadu 12, 771 46 Olomouc, Czech Republic, e-mail: irena.rachunkova@upol.cz Malá Morávka, May 2012 Overview of our common research
More information4.2 Green s representation theorem
4.2. REEN S REPRESENTATION THEOREM 57 i.e., the normal velocity on the boundary is proportional to the ecess pressure on the boundary. The coefficient χ is called the acoustic impedance of the obstacle
More informationA CAUCHY PROBLEM OF SINE-GORDON EQUATIONS WITH NON-HOMOGENEOUS DIRICHLET BOUNDARY CONDITIONS 1. INTRODUCTION
Trends in Mathematics Information Center for Mathematical Sciences Volume 4, Number 2, December 21, Pages 39 44 A CAUCHY PROBLEM OF SINE-GORDON EQUATIONS WITH NON-HOMOGENEOUS DIRICHLET BOUNDARY CONDITIONS
More informationPartial Differential Equations
Part II Partial Differential Equations Year 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2015 Paper 4, Section II 29E Partial Differential Equations 72 (a) Show that the Cauchy problem for u(x,
More informationEIGENFUNCTIONS OF DIRAC OPERATORS AT THE THRESHOLD ENERGIES
EIGENFUNCTIONS OF DIRAC OPERATORS AT THE THRESHOLD ENERGIES TOMIO UMEDA Abstract. We show that the eigenspaces of the Dirac operator H = α (D A(x)) + mβ at the threshold energies ±m are coincide with the
More informationOn Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma. Ben Schweizer 1
On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma Ben Schweizer 1 January 16, 2017 Abstract: We study connections between four different types of results that
More informationNotes on Integrable Functions and the Riesz Representation Theorem Math 8445, Winter 06, Professor J. Segert. f(x) = f + (x) + f (x).
References: Notes on Integrable Functions and the Riesz Representation Theorem Math 8445, Winter 06, Professor J. Segert Evans, Partial Differential Equations, Appendix 3 Reed and Simon, Functional Analysis,
More informationThe Dirichlet-to-Neumann operator
Lecture 8 The Dirichlet-to-Neumann operator The Dirichlet-to-Neumann operator plays an important role in the theory of inverse problems. In fact, from measurements of electrical currents at the surface
More informationA Multigrid Method for Two Dimensional Maxwell Interface Problems
A Multigrid Method for Two Dimensional Maxwell Interface Problems Susanne C. Brenner Department of Mathematics and Center for Computation & Technology Louisiana State University USA JSA 2013 Outline A
More informationDEFINABLE OPERATORS ON HILBERT SPACES
DEFINABLE OPERATORS ON HILBERT SPACES ISAAC GOLDBRING Abstract. Let H be an infinite-dimensional (real or complex) Hilbert space, viewed as a metric structure in its natural signature. We characterize
More information