The Asymptotic of Transmission Eigenvalues for a Domain with a Thin Coating

Size: px
Start display at page:

Download "The Asymptotic of Transmission Eigenvalues for a Domain with a Thin Coating"

Transcription

1 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 of Transmission Eigenvalues for a Domain with a Thin Coating. 27. <hal-6463> HAL Id: hal Submitted on 23 Nov 27 HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

2 THE ASYMPTOTIC OF TRANSMISSION EIGENVALUES FOR A DOMAIN WITH A THIN COATING by H. Boujlida, H. Haddar and M.Khenissi Abstract. We consider the transmission eigenvalue problem for a medium surrounded by a thin layer of inhomogeneous material with different refractive index. We derive explicit asymptotic expansion for the transmission eigenvalues with respect to the thickness of the thin layer. We prove error estimate for the asymptotic expansion up to order for simple eigenvalues. This expansion can be used to obtain explicit expressions for constant index of refraction.. Introduction This work is a contribution to the study of transmission eigenvalues [, 4, 6] and their relation to the shape and material properties of scatterers. These special frequencies are associated with the existence of an incident field that does not scatter. They can be equivalently defined as the eigenvalues of a system of two coupled partial differential equations posed on the inclusion domain. One of these equations refers to the equation satisfied by the total field and the other one is satisfied by the incident field. The two equations are coupled on the boundary by imposing that the Cauchy data coincide. This eigenvalue problem can then be formulated as the eigenvalue problem a non-selfadjoint compact operator. Although non intuitive, it can be shown that this problem admits an infinite discrete set of real eigenvalues without finite accumulation points [7, 26]. These special frequencies can be identified from farfield data as proved in [5, 9, 4]. Since they carry information on the material properties of the scatterer, transmission eigenvalues would then be of interest for the inverse problem of retrieving qualitative information on the material properties from measured multistatic data [4, 5]. In this perspective, it appears important to study the dependence of these eigenfrequencies with respect to the material properties and the geometry. Several works in the literature have addressed this issue by considering asymptotic regimes and quantifying the dependence of the first leading Key words and phrases. transmission eigenvalue, thin layer, inverse scattering.

3 2 H.BOUJLIDA, H. HADDAR AND M.KHENISSI terms in the asymptotic expansion of the transmission eigenvalue with respect to the small parameter [, 8, 2, 6]. We here consider the case of a scatterer made of a thin coating which corresponds to frequently encountered configurations in the stealth technology for instance. The goal is to characterize the dependence of the first order term on the material properties and the thickness of the coating. A first work on this topic was done in [] where the case of coated perfect scatterer is considered. One proves in particular for the latter case that the first order term depends only on the thickness. We here address the more complicated configuration of a coated penetrable media. The analysis indicates that the first order asymptotic resembles to the shape derivative for the buckling plate equation [7] and contain non trivial dependence on the material properties. more importantly, this expansion allows us to obtain explicit approximate expressions for the thin layer index of refraction. This indeed can be useful for the solution of the inverse problem. Although the formal derivation follows the systematic procedure using the classical scaled expansion method as in [3, 2, 3] for instance, the rigorous justification is much more involved. For instance the arguments in [] are hard to extend to the present case since special uniform estimates have to be obtained for the transmission problem. We restrict ourselves here to the justification of the first two terms in the asymptotic expansion using the abstract theory developed in [23, 2]. We follow the procedure developed in [8] for the case of small obstacles asymptotic. The main technical point in the proof is to obtain the corrector for the main operator, which is here the biharmonic operator. Our main result provide explicit expansion for simple transmission eigenvalues. We analyze the problem where the contrast in material properties affect only the lower order term in the Helmholtz equation. We finally indicate that although the problem is considered only in dimension 2, the results of the main theorem including the expression of the first order asymptotic term remain true for three dimensions up to more complicated technicalities in the proof related to differential geometry. The paper is organized as follows. We first introduce the transmission eigenvalues and write them as the eigenvalues of a non selfadjoint operator. We then explain the outline of a classical formal procedure to obtain the expression of the asymptotic expansion. We give the expression till the second order term to emphasize for instance that the expression of the second order derivative is too complicated to be exploited in practice. We then proceed with the main result of the paper that provides explicit expressions and an error estimate for the first two terms in the asymptotic expansion. 2. Problem statement Let Ω R 2 be a bounded domain with a smooth boundary Γ. We denote by Ω = {x Ω, dx, Γ > } and its boundary

4 ASYMPTOTIC EXPANSION OF T.E 3 Γ = {x Ω, dx, Γ = } = Ω, for > a small enough parameter, where dx, Γ denotes the distance of a point x to the boundary Γ. Let Ω = Ω\Ω be the layer of thickness around Ω see Figure. Figure. Stretch of the geometry We consider the following transmission eigenvalue problem: w + k 2 n xw = in Ω, v + k 2 v = in Ω, w = v on Γ, w ν = v on Γ, ν where k denotes the unknown eigenfrequency and ν the unitary normal to Γ directed to the interior of Ω. The index of refraction n is defined as follows : { n x in Ω n x =, n x in Ω, where n and n are non negative real valued functions L R 2 that are independent from. For the sake of simplicity, we assume that the restriction of n and n to Ω are constant functions along the normal coordinate to Γ for sufficiently small. We finally assume that the function / n is either positive definite or negative definite on Ω. We remark that this assumption also implies that / n is either positive definite or negative definite on Ω and that / n x γ > for a.e. x Ω 2 with γ being independent from sufficiently small. The main goal of this paper is to find the asymptotic expansion of eigenfrequencies k with respect to. Assuming that L Ω, the transmission eigenvalue problem can n

5 4 H.BOUJLIDA, H. HADDAR AND M.KHENISSI be reformulated as the nonlinear eigenvalue problem for λ := k 2 R and u := w v HΩ 2 such that + λ n + λ u = in Ω, n which in variational form, after integration by parts, is formulated as finding λ R and non-trivial function u HΩ 2 such that u + λ u φ + λ n φdx =, φ H n Ω. 2 3 Ω The space H 2 Ω denotes the closure in H 2 Ω of the set of regular compactly supported functions in Ω. We shall work with the reformulation of 3 as a linear eigenvalue problem for a non selfadjoint compact operator [4]. First observe that 3 can be written as where A u + λ B u + λ 2 C u = in H 2 Ω 4 A : H 2 Ω H 2 Ω, B : H 2 Ω H 2 Ω, C : H 2 Ω H 2 Ω are defined by the Riesz representation theorem as A u, φ H 2 Ω := u φdx, 5 Ω n B u, φ H 2 Ω := u φ + n u φdx, 6 Ω n and n C u, φ H 2 Ω := u φdx. 7 Ω n Note that A : HΩ 2 HΩ 2 is a bounded, self-adjoint and invertible operator thanks to 2, B : HΩ 2 HΩ 2 is a bounded, compact and self-adjoint operator and C : HΩ 2 HΩ 2 is a non negative or non positive bounded, compact and self-adjoint operator. Observe that since A is invertible, λ. In order to avoid distinguishing the cases of n being positive or negative we shall abusively set C 2 C 2 in the case where n non positive. Setting U = u, λ C 2 u, the transmission eigenvalue problem 4 can be transformed into the linear eigenvalue problem, τ R, U H 2 Ω H 2 Ω such that T τ IU =, with τ = λ, 8 for the compact non-selfadjoint operator T : HΩ 2 HΩ 2 HΩ 2 HΩ 2 defined by A T = B A C 2. 9 C 2

6 ASYMPTOTIC EXPANSION OF T.E 5 We set T = A B A C 2 C 2 where A, B and C are defined by 5, 6 and 7 respectively for n = n in Ω. We state here the main result of this paper which will be proven in Section 4. In the following a transmission eigenvalue λ is called simple if the corresponding τ = /λ has an algebraic multiplicity equal to. Theorem 2.. Assume that n, n C 4 Ω. Let λ R be a simple transmission eigenvalue of 3 with n = n in Ω and let u HΩ 2 be an associated eigenfunction. This implies in particular that β := λ 2 n n u 2 u dx 2. Ω If we suppose in addition that u and A u are in C 6 Ω, then, for sufficiently small >, there exists a transmission eigenvalue λ of 3 such that λ = λ + λ + O 3 2 where λ is given by the following expression λ := λ n n β n u 2 dsx. 2 Γ This theorem is an immediate consequence of Theorem 4.8 that is stated and proven in the last section of this paper. From the practical point of view, this theorem implies in particular that λ gives a measure for the contrast n n. For instance, if n is constant and n is constant on Γ, one can approximate the value of n using the identity n Γ = n Γ λ λ λ n u 2 u dx 2 + O 2 α n λ with Ω α := Γ u 2 n 2 dsx. For the inverse problem where one would like to determine n from multistatic measurements of scattered waves, the value of λ can be approximated using sampling methods as in [5, 4] see also [9] for an alternative approach. The values of λ and u can be computed numerically if one has a priori knowledge of n and Ω see for instance [2, 8, 2] for numerical methods to approximate λ and u. We finally indicate that, although not carefully checked, we conjecture that the expression for λ remains true in three dimensions corrections due to the curvature of Γ only affect higher order terms.

7 6 H.BOUJLIDA, H. HADDAR AND M.KHENISSI 3. Formal asymptotic expansion In this section, we derive the formal asymptotic expansion for transmission eigenvalues and give explicit formulas for the terms up to order 2. The idea here is to provide a systematic formal way to quickly obtain the explicit expression of λ in Theorem 2. and also higher order terms. The latter turn out to have complicated expressions that would be of marginal interest for the solution of the inverse problem mentioned above. This formal stage will also be helpful in establishing the rigorous proof based of Osborn s theorem [23]. It allows one to have an intuition for the expression of the corrector in the asymptotic of the main operator A. We assume the following expansions for the transmission eigenvalues : λ = j λ j, 2 j= and then follow a classical technique for thin layers asymptotics based on rescaling and asymptotic expansion with respect to the thickness. We shall mainly follow the approach in []. 3.. Scaling. We assume that the boundary Γ is C -smooth, although much less regularity is needed if we restrict ourselves to only few terms in the expansion. The issue of optimal regularity assumptions for Γ is not discussed here. However, one can check that at least a C 2 regularity is needed to get the expression of λ. We parametrize Γ as Γ = {x Γ s, s [, L[}, with L being the length of Γ and s is the curvilinear abscissa. At the point x Γ s, the unit tangent vector is τs := dx Γs, the curvature κs is defined by: ds dτs = κsνs or dνs = κsτs. ds ds Within these notations, the boundary of Ω is parametrized as Γ = {x Γ s + νs, s [, L[}. For a function u defined in Ω, we consider ũ defined on [, L[ ], [ by ũs, η = uϕs, η where ϕs, η := x Γ s + ηνs. 3 Then, the gradient and Laplace operators are expressed in the local coordinates as: u = + ηκs s τs + η νs ũ, u = + ηκ s + ηκ s + κ + ηκ η + 2 ũ. 4 η 2 To make the formal calculations, we need to separate the thin layer and scaled it with respect to the thickness so that the equation are posed on a domain independent from.

8 ASYMPTOTIC EXPANSION OF T.E 7 We therefore rewrite the transmission eigenvalue problem in the following equivalent form w + + k 2 n w + = in Ω, w + k 2 n w = in Ω, v + k 2 v = in Ω, w + = w w +, ν = w on Γ, 5 ν w + = v on Γ, w + ν = v on Γ. ν We denote by ξ = η the stretched normal variable inside Ω and define ϕ : G = [, L[ ], [ Ω s, ξ ϕ s, ξ = x Γ s + ξνs. Then the expression of the Laplace operator in the scaled layer is: u = + ξκ s + ξκ s + κ + ξκ ξ + 2 û =: 2 ξ 2 s,ξ û 6 for ûs, ξ := uϕ s, ξ. The next step is to write the equation for w + in the scaled domain and solve for the asymptotic expansion of w + in terms of the boundary values on Γ. These boundary values are given by the asymptotic expansion of v. More specifically, setting ŵ s, ξ := w + ϕ s, ξ, we have that together with the boundary conditions We assume that ŵ s, ξ = s,ξ ŵ + λ n ŵ = in G 7 ŵ s, = v x Γ s ŵ ξ s, = v ν x Γs j ŵ j s, ξ, s, ξ G and v x = j= s [, L[, s [, L[. 8 j v j x, x Ω 9 for some functions ŵ j defined on G and v j defined on Ω that are independent from. Multiplying 7 by 2 + ξκ 3 and using 2, we obtain 5 k A k ŵ =, k= j=

9 8 H.BOUJLIDA, H. HADDAR AND M.KHENISSI where A k k=...5 are differential operators of order 2 at maximum with the following expressions for the first fourth terms: A = 2 ξ 2, A =3ξκ 2 ξ 2 + κ ξ, A 2 = 2 s 2 + 3ξ2 κ 2 2 ξ 2 + 2ξκ2 ξ + λ n, A 3 =ξ 3 κ 3 2 ξ + 2 ξ2 κ 3 ξ ξ κ s s + ξκ 2 s 2 + 3λ n ξκ + λ n. Inserting the ansatz 9 in 7 and 8 we obtain after equating the terms of same order in and using the convention ŵ j = v j = for j <, 2 5 ξ 2 ŵj = A k ŵ j k in G, k= ŵ j s, = v j x Γ s s [, L[, 2 ŵ j ξ s, = v j ν x Γs s [, L[. These equations can be solved inductively to get the expressions of ŵ j boundary values of v l, l j. One gets for j =,, 2 and 3 ŵ s, ξ = v x Γ s, in terms of the ŵ s, ξ = v ν x Γsξ + v x Γ s, ŵ 2 s, ξ = ξ2 2 and ŵ 3 s, ξ = ξ3 6 + ξ3 3 v 6 κ w ν x Γs + 2 w s x Γs + λ 2 n w x Γ s 2κ 2 w ν x Γs 3κ 2 w s 2 ν x Γs κ w s x Γs + v ν x Γsξ + v 2 x Γ s, 2 s 2 x Γs κλ n w x Γ s + λ n v ν x Γs + ξ2 κ v 2 ν x Γs + λ n v x Γ s + λ n w x Γ s Now, we also postulate the following expansion for w : w x = j w j x 23 j= + v 2 ν x Γsξ + v 3 x Γ s. 22

10 ASYMPTOTIC EXPANSION OF T.E 9 with w j : Ω R are functions independent of. Then w j, v j solves j w j + λ n w j = λ l n w j l in Ω, v j + λ v j = l= j λ l v j l in Ω. l= Note that the functions w j are defined in all Ω and not only Ω and therefore 23 gives a extension of w to all Ω. The continuity conditions at Γ can be written as w s, = ŵ s, and w η s, = ŵ s, ξ where w is defined from w using the local change of variables 3 in a neighborhood of Γ. Using Taylor s expansion up to the second order, which is sufficient to compute the first three terms in the asymptotic expansion we get 24 and w s, = w s, + w η s, w 2 η s, + 2 o2 = ŵ s, 25 w η s, = w η s, + w 2 η s, w 2 2 η 3 s, + o2 = ŵ s,. 26 ξ Injecting 9 and 23 into 25 and 26, we respectively obtain the following continuity conditions on Γ, w x Γ s = ŵ s,, w x Γ s + w ν x Γs = ŵ s,, 27 and w2 x Γ s + w ν x Γs + 2 w 2 ν x Γs = ŵ 2 2 s,, = ŵ s,, ξ w ν x Γs = ŵ s,, 28 ξ w ν x Γs + 2 w ν x Γs = ŵ 2 s,. 2 ξ System 24 coupled with the boundary conditions 28 and 27 provide an inductive way to determine w j, v j. We obtain the set of equations satisfied by these terms after substituting the expressions of ŵ j s, given by 2,22. We hereafter summarize the set of equations obtained for w j, v j and how to use them to get the expressions of λ j,

11 H.BOUJLIDA, H. HADDAR AND M.KHENISSI j =,, 2. We first obtain that the couple w, v solves w + λ n w = in Ω, v + λ v = in Ω, w v = on Γ, w ν v = ν on Γ. This means in particular that λ is a transmission eigenvalue for the limiting problem where the thin layer is removed. We then obtain that the couple w, v satisfies w + λ n w = λ n w in Ω, v + λ v = λ v in Ω, w v = on Γ, w ν v ν = λ n n w on Γ. Since λ is an eigenvalue of the associated homogeneous system, this problem is solvable only if a compatibility condition is satisfied by the right hand sides. This compatibility condition can be obtained by multiplying the first equation with w and the second equation with v, taking the difference then integrating by parts and using 29. One ends up with λ n n w 2 dsx Γ λ = n w 2 v 2 dx Ω which coincides with the expression of given in Theorem 2. expressed in terms of u = w v. Although not covered by the analysis of convergence, we also provide the expression of the third term in the asymptotic expression. One get that the couple w 2, v 2 solves where w2 + λ n w2 = λ n w λ 2 n w in Ω, v 2 + λ v 2 = λ v λ 2 v in Ω, w2 v 2 = h on Γ, w2 ν v 2 ν = h 2 on Γ, h = 2 w 2 ν 2 2 λ n n w

12 ASYMPTOTIC EXPANSION OF T.E and h 2 = κ 2 w 7κ ν w + 2κ 2 + λ s 2 n + n λ 2n n + λ κ n 2 n w 2 ν 3κ 2 w 2 w ν 2 + κ w ν. w s w 2 ν s 2 Writing the compatibility condition for 3, we obtain the following formula for λ 2 λ 2 u 2 λ n u 2 dx = λ 2 u ū + u 2 dx Ω n λ Ω λ n λ u ū + n u ū + 2n λ u ū dx n + Γ Ω h ν + λ ū n dsx Γ h 2 + λ ū dsx. 32 n This complicated expression shows in particular a nonlinear dependence of λ 2 in terms of n. It suggests that the use of λ 2 for solutions to the inverse problem of determining n may not be appropriate. 4. Convergence analysis The main goal of this section is to prove Theorem 2. that provides a rigorous mathematical justification of the formal asymptotic expansion for simple real transmission eigenvalues up to the first order. The proof is split into several steps. The first one is to establish the convergence in norm of the operator T to T. This ensures the convergence of λ to λ. In order to get to the term of order in, we shall apply the Osborn theorem which requires for instance a characterization of the pointwise asymptotic expansion of T U up to order in for some given function U HΩ 2 HΩ. 2 The latter can be obtained from the asymptotic expansions of A u, B u and C u for some u HΩ. 2 The difficult part to get the expansion of A u since for the two others, the first order terms are vanishing. This critical result is provided by Lemma 4.5. In all the following we use the notation f, g := f, g H 2 Ω = f gdx and g := g, g 2 H 2Ω. Ω For an operator A : V V, A denotes the operator norm. To simplify the writing, C will denote a generic constant whose value may change but remains independent from as. 4.. Pointwise convergence of the spectrum of T. In this first step, we prove pointwise convergence of the spectrum of the operator T to the spectrum of T. This is a direct consequence of the following convergence in norm [23, 8].

13 2 H.BOUJLIDA, H. HADDAR AND M.KHENISSI Theorem 4.. Assume that n C 2 Ω. Let T and T be defined by 9 and respectively. Then T converges to T in the operator norm. Proof. The proof follows from Lemma 4.2 and Lemma 4.4 below, using the definition of T and T. In the first lemma we prove norm convergence for B and C. Lemma 4.2. Let B, C, B and C be the operators defined by 6 and 7. Then, for sufficiently small, B B C 2 and C 2 C 2 C. 33 Proof. From the definitions of B and B, we have that for u, φ HΩ 2 B B u, φ = u φ + n uφ dx u φ + n uφ dx Ω n Ω n = u φ + uφ dx. n n Therefore, Ω B B u, φ C u L Ω φ L Ω + φ L Ω u L Ω. Using the Sobolev embedding theorem and the Cauchy Schwartz inequality, we get By choosing φ = B B u, we get B B u, φ C 2 u H 2 Ω φ H 2 Ω. Ω B B u H 2 Ω C 2 u H 2 Ω. The proof is similar for the second inequality. For u, φ HΩ, 2 we have C C u, φ = uφdx C Ω u L n n Ω φ L Ω From the Sobolev embedding theorem, we obtain C C u, φ C u H 2 Ω φ H 2 Ω. By choosing φ = C C u, we have C C u H 2 Ω C u H 2 Ω. 34 Using the square root Lemma in [24] and the fact that C n converges to C n at the same order O, we conclude that C 2 converges to C 2 at the same order O. Hence we have C 2 C 2 u H 2 Ω C u H 2 Ω. 35

14 ASYMPTOTIC EXPANSION OF T.E 3 Now we show convergence in the HΩ 2 norm for A f assuming smoothness of f. This will be useful in the proof of Lemma 4.4 since the operators B and C are regularizing. Lemma 4.3. Let A and A be defined by 5 for > and =, respectively and f H 2 Ω. If A f C 2 Ω, then for sufficiently small, A f A f C Proof. For a fixed f HΩ, 2 define z and z in HΩ 2 as z = A f and z = A f. Since A z = A z = f, we have that for φ HΩ 2 A z z, φ = A z A z, φ = z φdx. 37 n n If z C 2 Ω, we get z φdx C z φdx C 2 φ H 2 Ω n n Ω. Ω Thus, we have shown that Ω A z z, φ C 2 φ H 2 Ω. By plugging in φ = z z, we obtain the desired convergence using the coercivity of A. Lemma 4.4. Assume that n C 2 Ω. Let A, B, C, A, B and C be defined by 5, 6 and 7 for > and =, respectively. Then for sufficiently small, A B A B and A C 2 A C 2. Proof. From 37, we have that for f, φ HΩ 2 and with z = A f and z = A f Furthermore, A z z, φ C A f L 2 Ω φ H 2 Ω. A B f A B f H 2 Ω A A B f H 2 Ω + A B B f H 2 Ω C A B f L 2 Ω + A B B f H 2 Ω. 38 For estimating A B f L 2 Ω, observe that B u H 2 Ω is the weak solution B u = n n u + n u in Ω. Classical regularity results [22, 25] and the fact that n C 2 Ω imply that B u H 4 Ω H 2 Ω and therefore A B f H Ω C f H 2 Ω. By the Sobolev embedding theorem, this implies that

15 4 H.BOUJLIDA, H. HADDAR AND M.KHENISSI A B f L p Ω C f H 2 Ω, for p > 2. Let p = p 2 > and q such that p + q =. From 33 we obtain A B f 2 L 2 Ω A B f 2 L Ω Ω p q C 2q f H 2 Ω. 39 Using 38, 39 and 4 we have that A B B f H 2 Ω C 2 f H 2 Ω. 4 A B A B. The second convergence result follows from similar arguments. Now we would like to obtain explicit formula for the correction term in the asymptotic expansion for the operator T. More precisely, we define explicit formula for the corrector term associated with A A Corrector term for A A. In this subsection, we construct a corrector function and use it to estimate the convergence rate of z = A u for u HΩ. 2 Let z = A u HΩ, 2 i.e z HΩ 2 solution of z = u in Ω. 4 n Inspired by the formal calculations on the previous section, namely problem 3, we define z solution of z = in Ω, n z = on Γ, 42 z ν = n z on Γ. n We expect that z = z + z + O 2 in Ω. We extend z in Ω as z defined by { z z in Ω =, 43 z ψ in Ω where ψ is a polynomial of order 3 and satisfying the boundary conditions: ψ ψ =, ν = n z on Γ, n ψ = ψ 44 ν = on Γ. This gives the following expression of ψ that plays the role ŵ 2 in the formal calculations ψx = ψϕs, ξ = ˆψs, n ξ = z ϕs, ξ ξ 2. n

16 ASYMPTOTIC EXPANSION OF T.E 5 The choice of ψ ensures in particular that z HΩ. 2 To simplify the notation we set m :=. n n Now we have the following Lemma. Lemma 4.5. Assume that n and n are in C 4 Ω. Let u HΩ 2 then set z = A u and z = A u. We define z as in 43 and assume that z C 6 Ω. Then we have, for sufficiently small, Proof. For any φ H 2 Ω we have that We recall that Furthermore, we have that A z, φ = z z z H 2 Ω C 3 2. A z z z, φ = A z z, φ A z, φ. 45 A z z, φ = z φdx. Ω n n Ω z φdx + z ψ φdx. 46 n Ω n Using the fact that z = and the Green formula yield, n A z, φ φ = m z Γ ν dsx + z z φdsx Γ ν n ν n + ψ φ Γ n ν dsx ψ φdsx ψφdx. Γ ν n Ω n Using the expression of ψ we have n ψ Γ = n s,ξ ψs, = 2 m z ϕs,, ν ψ Γ = n η ψ Γ = n n ξ ψs, s,ξ = 6 m z ϕs,. 2 We then get after substitution of these expressions A z, φ = m z ϕs, + 2 φ Γ z ϕs, ν dsx m Γ ν z ϕs, + 6 z ϕs, φdsx ψφdx 2 Ω n = φ φ Γ ν dsx φ 2φdsx ψφdx Γ Ω n where we have set

17 6 H.BOUJLIDA, H. HADDAR AND M.KHENISSI φ s := m z ϕs, + 2 m z ϕs,, φ 2s := m ν z ϕs, m z ϕs, using the parametrization of the curve Γ, s ϕs, with ϕ defined by 3. Using this parametrization and setting φs, η := φϕs, η in Ω we have φ L ν dsx = φ φ L s, + κds = φ 2 φ s, η + κdsdη. η η2 Γ φ From the definition of φ we then get for φ HΩ, 2 φ ν dsx = 2 L m z ϕs, 2 φ η s, ηdsdη + O 2 2 φ H 2 Ω. Γ φ Here and in all the following O r denotes a function such that O r C r for a constant C independent from the test function φ but that may depend on z C 6 Ω. Using Taylor s expansion we also get for φ HΩ, 2 φ 2φdsx = L φ 2 φ 2 Γ 2 η s, η + κdsdη + O φ H 2 Ω = 3 L m z ϕs, 2 φ η 2 s, ηdsdη + O 2 φ H 2 Ω where the last equality is obtained after substituting the expression of φ 2. One ends up with φ φ L Γ ν φ 2φdsx = m z ϕs, 2 φ η s, ηdsdη + O φ H 2 Ω. Equation 45 then gives A z z z, φ = m z φdx A z, φ Ω L = m z ϕs, η φϕs, η + ηκdsdη Ω n ψφdx + O 3 2 φ H 2 Ω. L We use the expression of the Laplacien in local coordinates + ηκ φϕs, η = s m z ϕs, 2 φ ϕs, ηdsdη η2 φ + ηκ s s, η + κ φ η s, η + + φ ηκ 2 s, η η2

18 ASYMPTOTIC EXPANSION OF T.E 7 to make the decomposition L L + m z ϕs, η φϕs, η + ηκdsdη = L m z ϕs, η κ φ η s, η + φ ηκ 2 η s, η + 2 m z ϕs, η s L To estimate the first term, we integrate by parts on [, L[, we obtain L m z ϕs, η φ s + ηκ s s, η dηds = = = L L L = O 3 2 φ H 2 Ω. + ηκ s m z ϕs, η φ s, ηdsdη s m + ξκ s z ϕs, ξ φ s, ξdsdξ s m ξ s z ϕs, For the last term we proceed similarly to obtain L = m z ϕs, η φ s, ηdsdη = η ξ m z ϕs, L L φ + ηκ s s, η m z ϕs, η 2 φ s, η. η2 2 φ η s s, ηdη dsdξ + O 2 φ H 2 Ω m z ϕs, ξ φ s, ξdsdξ η 2 φ η s, ηdη dsdξ + O 2 φ 2 H 2 Ω = O 3 2 φ H 2 Ω Observing in addition that one ends up with L A z z z, φ = ηκm z ϕs, η 2 φ η 2 s, ηdsdη = O 3 2 φ H 2 Ω, L 2 φ m z ϕs, η z ϕs, s, ηdsdη η2 Ω n fψ φdx + O 3 2 φ H 2 Ω. To conclude we just observe that the two remaining terms are also of the form O 3 2 φ H 2 Ω. For the first term, we simply use a Taylor expansion for z while for the second one we just use that, due to the regularity of n and n, n ψ L Ω.

19 8 H.BOUJLIDA, H. HADDAR AND M.KHENISSI In conclusion, A z z z, φ C 3 2 φ H 2 Ω. Choosing φ = z z z, since the coercivity constant associated with A is independent from, we get which ends the proof. z z z H 2 Ω C 3 2 Lemma 4.6. Assume that n and n are in C 4 Ω. If u C 6 Ω H 2 Ω, then for sufficiently small, B A where C independent of. A u H 2 Ω C and C 2 A A u H 2 Ω C 47 Proof. From the estimate of Lemma 4.5 we have that Since z L 2 Ω = O, then z z z L 2 Ω C 3 2. z z L 2 Ω C. Since B is two orders smoothing, we have that The same proof holds for C 2. B z z H 2 Ω z z L 2 Ω C Now to derive the eigenvalue expansion, we will apply the Theorem of Osborn [23], which we state here for reader s convenience. Suppose X is a Hilbert space with inner product denoted by, and K n : X X is a sequence of compact linear operators such that K n converge in the operator norm to K. It then follows that the adjoint operators also converges in norm. Let µ be a nonzero eigenvalue of K of algebraic multiplicity m. It is well known that for n large enough, there exist m eigenvalues of K n : µ n, µ n 2,..., µ n m such that µ n j µ pour tout j =,..., m. Let E be the spectral projection onto the generalized j eigenspace of K corresponding to eigenvalue µ. The space X can be decomposed in terms of the range and null space of E as X = RE NE. Then form the proof of Theorem 3 in [23], one can state the following theorem.

20 ASYMPTOTIC EXPANSION OF T.E 9 Theorem 4.7. Let φ, φ 2,..., φ m be a normalized basis for RE, and let φ, φ 2,..., φ m be the dual basis of RE such that v, φj = for all v NE. Then there exists a constant C such that : µ m µ n j m K K n φ j, φ m m j C K K n RE K Kn RE 48 j= j= In order to apply Theorem 4.7 obtain explicit expression for the first order asymptotic m j= K K nφ j, φ j, one has to construct the basis φ j. In the case of selfadjoint operators, one take φ j = φ j. Once easily check that φ j are necessarily eigenvalues of K associated with µ. Reciprocally, such eigenvalues are admissible for dual basis if they belong to RE. We now turn our attention to application of this theorem with K n T and K T and X HΩ 2 HΩ. 2 We already showed that T converges to T in the operator norm in Theorem 4.. In order to simplify the calculations we define the inner product on H 2 Ω H 2 Ω by: u v w, z := A u, w H2 Ω + v, z H 2 Ω. Let τ be a simple real eigenvalue of T, then for small enough, some eigenvalue τ of T is such that τ τ. Let U = u λ C 2 u be an eigenvector of T associated with τ. Using the expression of u T one easily observes that Ũ = λ C is an eigenvector of T 2 associated with τ. u Then this eigenvector is proportional to the dual basis of U if and only if β := U, Ũ = A u, u λ 2 C u, u. 49 We remark that the fact that τ is assumed to a simple eigenvalue i.e. with algebraic multiplicity equals, guarantees that 49 holds. We then can define the dual vector as U = β Ũ and apply Theorem 4.7 to get that τ τ T T U, U C T T U H 2 Ω T T U H 2 Ω. 5 We are now in position to prove the main result of Theorem of this paper. Theorem 4.8. Assume that n and n are in C 4 Ω. Let λ be a simple real transmission eigenvalue corresponding to n and let u H 2 Ω be the corresponding eigenvector. This implies in particular that 49 holds. Further assume that u and A u are in C 6 Ω.

21 2 H.BOUJLIDA, H. HADDAR AND M.KHENISSI Then, for > small enough, there exists a transmission eigenvalue λ corresponding to n such that = n n λ λ β λ n u 2 dsx + O Proof. Using estimate 5 with λ = τ, we have Γ T T U, U C T T U λ λ H 2 Ω T T U H 2 Ω 52 From the definition of 9 of T, we have A T U = B u λ A C 2 C 2 u C 2 u A B u λ A C 2 C 2 u = + C 2 u A A B B u λ A + A A B u + λ C u A C 2 C 2 C 2 u Using the definition of T, we obtain A B T T U = B u λ A C 2 C 2 C 2 u C 2 C 2 u A A B + u + λ C u + From 33 and 36, we have On the other hand, we have T A A B B u λ A A C 2 C 2 C 2 u T T U H 2 Ω = O T U = B B A u B A A u λ C 2 C 2 C 2 u β C 2 C 2 A u C 2 A A u B B A β C 2 C 2 A From estimates 33 and 47, we obtain T A u A u T U H 2 Ω = O. 54

22 ASYMPTOTIC EXPANSION OF T.E 2 Next, 52 implies Using the expression of U we see that λ λ = T T U, U + O 3 2. T T U, U = β B B u, u + β λ C 2 C 2 C 2 u, u + β A A A B u + λ C u, u + β C 2 C 2 u, λ C 2 u + O 3 2 Recall that, by definition of u Au + λbu + λ 2 C u =. 55 Since C 2 is self-adjoint, we have T T U, U = β B B u, u + 2 β λ C 2 C 2 C 2 u, u A A A u, A u + O 3 2. β λ We then deduce = B B u, u + 2 λ C 2 C 2 λ λ β β C 2 u, u A A A u, A u + O β λ In order to conclude, we use the results of the two lemmas below that treat the asymptotic for each term in 56. Applying Lemma 4.9 with u = u and φ = u we have and with u = u and φ = C 2 u, we obtain B B u, u C C 2 C 2 u, C 2 u C Applying Lemma 4. with u = A u therefore z = u and φ = u, we get, using the fact that A is selfadjoint, A A A u, A u = L n n n 2 u ϕs, u ϕs, ds + O 3 2

23 22 H.BOUJLIDA, H. HADDAR AND M.KHENISSI We finally obtain L = n n λ λ β λ n u ϕs, 2 ds + O which corresponds with the formula announced in the theorem and concludes the proof. Lemma 4.9. Under the assumptions of Theorem 4.8 one has B B u, φ C 3 2 φ H 2 Ω and C 2 for some C independent of and φ. C 2 u, φ C 2 φ H 2 Ω Proof. Since B B u, φ = Ω u φ + uφdx, n n Using the local coordinates in Ω, we obtain L uφdx = m uϕs, ξ n n φs, ξ + ξκdsdξ Ω = L C 3 2 φ H 2 Ω ξ 2 φ m uϕs, η s, ηdη + ξκdsdξ 2 Hence B B u, φ C 3 2 φ H 2 Ω. Similarly, we compute the asymptotic formula of C C u, φ = = L L n C 2 φ H 2 Ω n uϕs, ξφϕs, ξ + ξκdsdξ n ξ n ũ s, ηdη η ξ φ η s, ηdη + ξκdsdξ Using the square root Lemma in [24] and the fact that C n converges to C n at the same order O 2, we conclude that C 2 converges to C 2 at the same order O 2. Thus we have C 2 C 2 u, φ C 2 φ H 2 Ω Lemma 4.. Under the assumptions of Theorem 4.8 one has for any φ HΩ 2 C 4 Ω L A A A n n u, φ = n z ϕs, φϕs, ds + O where z := A u.

24 ASYMPTOTIC EXPANSION OF T.E 23 Proof. With z := A u, z z φdx = z φdx = m z φdx Ω n Ω n n Ω = m z z z φdx + m z + z φdx Ω Ω Applying Lemma 4.5 we obtain z z φdx = m z + z Ω n φdx + O 3 2 Ω = m z φdx m ψ φdx + O 3 2. Ω Ω Making use of the local coordinates we show L m z φdx = m z ϕs, ξ φϕs, ξ + ξκdsdξ Ω = L m z ϕs, φϕs, ds + O 3 2. For the second term m ψ φdx = ψ m φdx m ψ Ω Ω Γ ν φdsx + mψ φ Γ ν dsx Or ψ Γ = and ψ ν n Γ = z ϕs,. Then we have n m ψ φdx = ψ m φdx m ψ Ω Ω Γ η φdsx = = L L L Consequently z z φdx = n Ω which implies A A and concludes the proof. ψs, ξ m φϕs, ξ + ξκdsdξ n m z ϕs, φϕs, ξds n n m z ϕs, φϕs, ds + O 3 2 n L n n n 2 z ϕs, φϕs, ds + O 3 2 L A n n u, φ = n z ϕs, φϕs, ds + O 3 2 2

25 24 H.BOUJLIDA, H. HADDAR AND M.KHENISSI References [] L. Audibert, Qualitative Methods for Heterogeneous Media, PhD thesis, École Polytechnique, Palaiseau, France, 25. [2] B. Aslanyürek, H. Haddar, and H. Şahintürk. Generalized impedance boundary conditions for thin dielectric coatings with variable thickness. Wave Motion, 487:68 7, 2. [3] A. Bendali and K. Lemrabet. The effect of a thin coating on the scattering of a time-harmonic wave for the Helmholtz equation. SIAM J. Appl. Math., 566: , 996. [4] F. Cakoni, D. Colton, H. Haddar Inverse Scattering Theory and Transmission Eigenvalues SIAM publications, 88, CBMS Series 26. [5] F. Cakoni, D. Colton and H. Haddar, On the determination of dirichlet or transmission eigenvalues from farfield data. C. R. Acad. Sci. paris2 no. 7-8, [6] F. Cakoni, H. Haddar, Transmission eigenvalues in inverse scattering theory Inverse Problems and Applications, Inside Out 6, MSRI Publications, Berkeley, CA, 23. [7] F. Cakoni, D. Gintides, H. Haddar, The existence of an infinite discrete set of transmission eigenvalues, SIAM J. Math. Anal., 42: 2, pp [8] F. Cakoni and S. Moskow, Asymptotic expansions for transmission eigenvalues for media with small inhomogeneities. Inverse Problems no., 44, 8. [9] F. Cakoni, D. Ginitides, H. Haddar, The existence of an infinite discrete set of transmission eigenvalues. SIAM J. Math. Anal. 42, [] F. Cakoni, N.Chaulet and H. Haddar, Asymptotic analysis of transmission eigenvalue problem for a Dirichlet obstacle coated by a thin layer of a non-absorbing media. IMA Journal of Applied Mathematics258, [] D. Colton and R. Kress, Inverse Acoustic and Eletromagnetic Scattering Theory. 3rd edn 22 New York: Springer [2] F. Cakoni, P. Monk and J. Sun, Error analysis of the finite element approximation of transmission eigenvalues, Comput. Methods Appl. Math., Vol. 4 24, Iss. 4, [3] B. Delourme, H. Haddar, and P. Joly. Approximate models for wave propagation across thin periodic interfaces. J. Math. Pures Appl. 9, 98:28 7, 22. [4] G. Giorgi, H. Haddar, Computing estimates of material properties from transmission eigenvalues, Inverse Problems, 28: 5 22, pp [5] I. Harris, F. Cakoni and J. Sun, Transmission eigenvalues and non-destructive testing of anisotropic magnetic materials with voids. Inverse Problems, 3 paper [6] F. Cakoni, Harris and S. Moskow, The imaging of small perturbations in an anisotropic media, Computers and Mathematics with Applications, to appear, 27. [7] A. Henrot, Extremum Problems for Eigenvalues of Elliptic Operators, Birkhauser Verlag, 2. [8] X. Ji, J. Sun and T. Turner, A mixed finite element method for Helmholtz Transmission eigenvalues, ACM Transaction on Math. Soft., Vol , No.4, Algorithm 922 [9] A. Kirsch and A. Lechleiter, The inside-outside duality for scattering problems by inhomogeneous media. Inverse Problems 29 23, no., 4. [2] A. Kleefeld A numerical method to compute interior transmission eigenvalues Inverse Problems, Vol. 29 pages [2] S. Moskow, Nonlinear eigenvalue approximation for compacts operators. Journal of Mathematical Physics 56,

26 ASYMPTOTIC EXPANSION OF T.E 25 [22] J.L. Lions and E. Magenes, Problèmes aux limites non homogènes et applications. Dunod, 968. [23] JE Osborn, Spectral approximations for compacts operators. Mathematics of computations, 29, , 975. [24] M. Reed and B. Simon, Functional analysis. Academic Press, 98. [25] J. Wloka, Partial Differential Equations. Cambridge Univ. Press, 987. [26] L. Pavarinta and J. Sylvester, Transmission eigenvalues. SIAM J. Math. Anal, H.Boujlida, H. Haddar and M.Khenissi

Transmission eigenvalues with artificial background for explicit material index identification

Transmission 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 information

ON THE UNIQUENESS IN THE 3D NAVIER-STOKES EQUATIONS

ON THE UNIQUENESS IN THE 3D NAVIER-STOKES EQUATIONS ON THE UNIQUENESS IN THE 3D NAVIER-STOKES EQUATIONS Abdelhafid Younsi To cite this version: Abdelhafid Younsi. ON THE UNIQUENESS IN THE 3D NAVIER-STOKES EQUATIONS. 4 pages. 212. HAL Id:

More information

NEW RESULTS ON TRANSMISSION EIGENVALUES. Fioralba Cakoni. Drossos Gintides

NEW 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 information

Inverse Scattering Theory: Transmission Eigenvalues and Non-destructive Testing

Inverse 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 information

Discreteness of Transmission Eigenvalues via Upper Triangular Compact Operators

Discreteness 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 information

Analysis in weighted spaces : preliminary version

Analysis in weighted spaces : preliminary version Analysis in weighted spaces : preliminary version Frank Pacard To cite this version: Frank Pacard. Analysis in weighted spaces : preliminary version. 3rd cycle. Téhéran (Iran, 2006, pp.75.

More information

ON THE EXISTENCE OF TRANSMISSION EIGENVALUES. Andreas Kirsch1

ON 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 information

New estimates for the div-curl-grad operators and elliptic problems with L1-data in the half-space

New estimates for the div-curl-grad operators and elliptic problems with L1-data in the half-space New estimates for the div-curl-grad operators and elliptic problems with L1-data in the half-space Chérif Amrouche, Huy Hoang Nguyen To cite this version: Chérif Amrouche, Huy Hoang Nguyen. New estimates

More information

Finite volume method for nonlinear transmission problems

Finite volume method for nonlinear transmission problems Finite volume method for nonlinear transmission problems Franck Boyer, Florence Hubert To cite this version: Franck Boyer, Florence Hubert. Finite volume method for nonlinear transmission problems. Proceedings

More information

Estimation of transmission eigenvalues and the index of refraction from Cauchy data

Estimation 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 information

An eigenvalue method using multiple frequency data for inverse scattering problems

An 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 information

Influence of a Rough Thin Layer on the Potential

Influence of a Rough Thin Layer on the Potential Influence of a Rough Thin Layer on the Potential Ionel Ciuperca, Ronan Perrussel, Clair Poignard To cite this version: Ionel Ciuperca, Ronan Perrussel, Clair Poignard. Influence of a Rough Thin Layer on

More information

On Symmetric Norm Inequalities And Hermitian Block-Matrices

On Symmetric Norm Inequalities And Hermitian Block-Matrices On Symmetric Norm Inequalities And Hermitian lock-matrices Antoine Mhanna To cite this version: Antoine Mhanna On Symmetric Norm Inequalities And Hermitian lock-matrices 015 HAL Id: hal-0131860

More information

A proximal approach to the inversion of ill-conditioned matrices

A proximal approach to the inversion of ill-conditioned matrices A proximal approach to the inversion of ill-conditioned matrices Pierre Maréchal, Aude Rondepierre To cite this version: Pierre Maréchal, Aude Rondepierre. A proximal approach to the inversion of ill-conditioned

More information

Linear Quadratic Zero-Sum Two-Person Differential Games

Linear Quadratic Zero-Sum Two-Person Differential Games Linear Quadratic Zero-Sum Two-Person Differential Games Pierre Bernhard To cite this version: Pierre Bernhard. Linear Quadratic Zero-Sum Two-Person Differential Games. Encyclopaedia of Systems and Control,

More information

Self-inductance coefficient for toroidal thin conductors

Self-inductance coefficient for toroidal thin conductors Self-inductance coefficient for toroidal thin conductors Youcef Amirat, Rachid Touzani To cite this version: Youcef Amirat, Rachid Touzani. Self-inductance coefficient for toroidal thin conductors. Nonlinear

More information

Homogenization of the Transmission Eigenvalue Problem for a Periodic Media

Homogenization 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 information

Towards an active anechoic room

Towards an active anechoic room Towards an active anechoic room Dominique Habault, Philippe Herzog, Emmanuel Friot, Cédric Pinhède To cite this version: Dominique Habault, Philippe Herzog, Emmanuel Friot, Cédric Pinhède. Towards an active

More information

Low frequency resolvent estimates for long range perturbations of the Euclidean Laplacian

Low frequency resolvent estimates for long range perturbations of the Euclidean Laplacian Low frequency resolvent estimates for long range perturbations of the Euclidean Laplacian Jean-Francois Bony, Dietrich Häfner To cite this version: Jean-Francois Bony, Dietrich Häfner. Low frequency resolvent

More information

THE INTERIOR TRANSMISSION PROBLEM FOR REGIONS WITH CAVITIES

THE 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 information

The Interior Transmission Eigenvalue Problem for Maxwell s Equations

The 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 information

On Poincare-Wirtinger inequalities in spaces of functions of bounded variation

On Poincare-Wirtinger inequalities in spaces of functions of bounded variation On Poincare-Wirtinger inequalities in spaces of functions of bounded variation Maïtine Bergounioux To cite this version: Maïtine Bergounioux. On Poincare-Wirtinger inequalities in spaces of functions of

More information

Homogenization of the transmission eigenvalue problem for periodic media and application to the inverse problem

Homogenization of the transmission eigenvalue problem for periodic media and application to the inverse problem Homogenization of the transmission eigenvalue problem for periodic media and application to the inverse problem Fioralba Cakoni, Houssem Haddar, Isaac Harris To cite this version: Fioralba Cakoni, Houssem

More information

Transmission Eigenvalues in Inverse Scattering Theory

Transmission 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 information

Completeness of the Tree System for Propositional Classical Logic

Completeness of the Tree System for Propositional Classical Logic Completeness of the Tree System for Propositional Classical Logic Shahid Rahman To cite this version: Shahid Rahman. Completeness of the Tree System for Propositional Classical Logic. Licence. France.

More information

Transmission Eigenvalues in Inverse Scattering Theory

Transmission 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 information

The Imaging of Anisotropic Media in Inverse Electromagnetic Scattering

The 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 information

Holomorphic extension of the de Gennes function

Holomorphic extension of the de Gennes function Holomorphic extension of the de Gennes function Virginie Bonnaillie-Noël, Frédéric Hérau, Nicolas Raymond To cite this version: Virginie Bonnaillie-Noël, Frédéric Hérau, Nicolas Raymond. Holomorphic extension

More information

A Context free language associated with interval maps

A Context free language associated with interval maps A Context free language associated with interval maps M Archana, V Kannan To cite this version: M Archana, V Kannan. A Context free language associated with interval maps. Discrete Mathematics and Theoretical

More information

Tropical Graph Signal Processing

Tropical Graph Signal Processing Tropical Graph Signal Processing Vincent Gripon To cite this version: Vincent Gripon. Tropical Graph Signal Processing. 2017. HAL Id: hal-01527695 https://hal.archives-ouvertes.fr/hal-01527695v2

More information

Factorization method in inverse

Factorization 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 information

On Symmetric Norm Inequalities And Hermitian Block-Matrices

On Symmetric Norm Inequalities And Hermitian Block-Matrices On Symmetric Norm Inequalities And Hermitian lock-matrices Antoine Mhanna To cite this version: Antoine Mhanna On Symmetric Norm Inequalities And Hermitian lock-matrices 016 HAL Id: hal-0131860

More information

SPECTRAL APPROXIMATION TO A TRANSMISSION EIGENVALUE PROBLEM AND ITS APPLICATIONS TO AN INVERSE PROBLEM

SPECTRAL APPROXIMATION TO A TRANSMISSION EIGENVALUE PROBLEM AND ITS APPLICATIONS TO AN INVERSE PROBLEM SPECTRAL APPROXIMATIO TO A TRASMISSIO EIGEVALUE PROBLEM AD ITS APPLICATIOS TO A IVERSE PROBLEM JIG A JIE SHE 2,3 Abstract. We first develop an efficient spectral-galerkin method and an rigorous error analysis

More information

On constraint qualifications with generalized convexity and optimality conditions

On constraint qualifications with generalized convexity and optimality conditions On constraint qualifications with generalized convexity and optimality conditions Manh-Hung Nguyen, Do Van Luu To cite this version: Manh-Hung Nguyen, Do Van Luu. On constraint qualifications with generalized

More information

Norm Inequalities of Positive Semi-Definite Matrices

Norm Inequalities of Positive Semi-Definite Matrices Norm Inequalities of Positive Semi-Definite Matrices Antoine Mhanna To cite this version: Antoine Mhanna Norm Inequalities of Positive Semi-Definite Matrices 15 HAL Id: hal-11844 https://halinriafr/hal-11844v1

More information

On the uniform Poincaré inequality

On the uniform Poincaré inequality On the uniform Poincaré inequality Abdesslam oulkhemair, Abdelkrim Chakib To cite this version: Abdesslam oulkhemair, Abdelkrim Chakib. On the uniform Poincaré inequality. Communications in Partial Differential

More information

Confluence Algebras and Acyclicity of the Koszul Complex

Confluence Algebras and Acyclicity of the Koszul Complex Confluence Algebras and Acyclicity of the Koszul Complex Cyrille Chenavier To cite this version: Cyrille Chenavier. Confluence Algebras and Acyclicity of the Koszul Complex. Algebras and Representation

More information

On a series of Ramanujan

On a series of Ramanujan On a series of Ramanujan Olivier Oloa To cite this version: Olivier Oloa. On a series of Ramanujan. Gems in Experimental Mathematics, pp.35-3,, . HAL Id: hal-55866 https://hal.archives-ouvertes.fr/hal-55866

More information

Positive mass theorem for the Paneitz-Branson operator

Positive mass theorem for the Paneitz-Branson operator Positive mass theorem for the Paneitz-Branson operator Emmanuel Humbert, Simon Raulot To cite this version: Emmanuel Humbert, Simon Raulot. Positive mass theorem for the Paneitz-Branson operator. Calculus

More information

Existence of Pulses for Local and Nonlocal Reaction-Diffusion Equations

Existence of Pulses for Local and Nonlocal Reaction-Diffusion Equations Existence of Pulses for Local and Nonlocal Reaction-Diffusion Equations Nathalie Eymard, Vitaly Volpert, Vitali Vougalter To cite this version: Nathalie Eymard, Vitaly Volpert, Vitali Vougalter. Existence

More information

Widely Linear Estimation with Complex Data

Widely Linear Estimation with Complex Data Widely Linear Estimation with Complex Data Bernard Picinbono, Pascal Chevalier To cite this version: Bernard Picinbono, Pascal Chevalier. Widely Linear Estimation with Complex Data. IEEE Transactions on

More information

The Factorization Method for a Class of Inverse Elliptic Problems

The 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 information

Thermodynamic form of the equation of motion for perfect fluids of grade n

Thermodynamic form of the equation of motion for perfect fluids of grade n Thermodynamic form of the equation of motion for perfect fluids of grade n Henri Gouin To cite this version: Henri Gouin. Thermodynamic form of the equation of motion for perfect fluids of grade n. Comptes

More information

On infinite permutations

On infinite permutations On infinite permutations Dmitri G. Fon-Der-Flaass, Anna E. Frid To cite this version: Dmitri G. Fon-Der-Flaass, Anna E. Frid. On infinite permutations. Stefan Felsner. 2005 European Conference on Combinatorics,

More information

On the longest path in a recursively partitionable graph

On the longest path in a recursively partitionable graph On the longest path in a recursively partitionable graph Julien Bensmail To cite this version: Julien Bensmail. On the longest path in a recursively partitionable graph. 2012. HAL Id:

More information

Periodic solutions of differential equations with three variable in vector-valued space

Periodic solutions of differential equations with three variable in vector-valued space Periodic solutions of differential equations with three variable in vector-valued space Bahloul Rachid, Bahaj Mohamed, Sidki Omar To cite this version: Bahloul Rachid, Bahaj Mohamed, Sidki Omar. Periodic

More information

FORMAL TREATMENT OF RADIATION FIELD FLUCTUATIONS IN VACUUM

FORMAL TREATMENT OF RADIATION FIELD FLUCTUATIONS IN VACUUM FORMAL TREATMENT OF RADIATION FIELD FLUCTUATIONS IN VACUUM Frederic Schuller, Renaud Savalle, Michael Neumann-Spallart To cite this version: Frederic Schuller, Renaud Savalle, Michael Neumann-Spallart.

More information

On one class of permutation polynomials over finite fields of characteristic two *

On one class of permutation polynomials over finite fields of characteristic two * On one class of permutation polynomials over finite fields of characteristic two * Leonid Bassalygo, Victor A. Zinoviev To cite this version: Leonid Bassalygo, Victor A. Zinoviev. On one class of permutation

More information

On The Exact Solution of Newell-Whitehead-Segel Equation Using the Homotopy Perturbation Method

On The Exact Solution of Newell-Whitehead-Segel Equation Using the Homotopy Perturbation Method On The Exact Solution of Newell-Whitehead-Segel Equation Using the Homotopy Perturbation Method S. Salman Nourazar, Mohsen Soori, Akbar Nazari-Golshan To cite this version: S. Salman Nourazar, Mohsen Soori,

More information

Transmission eigenvalues and non-destructive testing of anisotropic magnetic materials with voids

Transmission 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 information

Methylation-associated PHOX2B gene silencing is a rare event in human neuroblastoma.

Methylation-associated PHOX2B gene silencing is a rare event in human neuroblastoma. Methylation-associated PHOX2B gene silencing is a rare event in human neuroblastoma. Loïc De Pontual, Delphine Trochet, Franck Bourdeaut, Sophie Thomas, Heather Etchevers, Agnes Chompret, Véronique Minard,

More information

Exact Comparison of Quadratic Irrationals

Exact Comparison of Quadratic Irrationals Exact Comparison of Quadratic Irrationals Phuc Ngo To cite this version: Phuc Ngo. Exact Comparison of Quadratic Irrationals. [Research Report] LIGM. 20. HAL Id: hal-0069762 https://hal.archives-ouvertes.fr/hal-0069762

More information

Solving the neutron slowing down equation

Solving the neutron slowing down equation Solving the neutron slowing down equation Bertrand Mercier, Jinghan Peng To cite this version: Bertrand Mercier, Jinghan Peng. Solving the neutron slowing down equation. 2014. HAL Id: hal-01081772

More information

Finite element computation of leaky modes in straight and helical elastic waveguides

Finite element computation of leaky modes in straight and helical elastic waveguides Finite element computation of leaky modes in straight and helical elastic waveguides Khac-Long Nguyen, Fabien Treyssede, Christophe Hazard, Anne-Sophie Bonnet-Ben Dhia To cite this version: Khac-Long Nguyen,

More information

A coupled BEM and FEM for the interior transmission problem

A 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 information

On size, radius and minimum degree

On size, radius and minimum degree On size, radius and minimum degree Simon Mukwembi To cite this version: Simon Mukwembi. On size, radius and minimum degree. Discrete Mathematics and Theoretical Computer Science, DMTCS, 2014, Vol. 16 no.

More information

Question order experimental constraints on quantum-like models of judgement

Question order experimental constraints on quantum-like models of judgement Question order experimental constraints on quantum-like models of judgement Patrick Cassam-Chenaï To cite this version: Patrick Cassam-Chenaï. Question order experimental constraints on quantum-like models

More information

On path partitions of the divisor graph

On path partitions of the divisor graph On path partitions of the divisor graph Paul Melotti, Eric Saias To cite this version: Paul Melotti, Eric Saias On path partitions of the divisor graph 018 HAL Id: hal-0184801 https://halarchives-ouvertesfr/hal-0184801

More information

Quasi-periodic solutions of the 2D Euler equation

Quasi-periodic solutions of the 2D Euler equation Quasi-periodic solutions of the 2D Euler equation Nicolas Crouseilles, Erwan Faou To cite this version: Nicolas Crouseilles, Erwan Faou. Quasi-periodic solutions of the 2D Euler equation. Asymptotic Analysis,

More information

DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS

DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS Issam Naghmouchi To cite this version: Issam Naghmouchi. DYNAMICAL PROPERTIES OF MONOTONE DENDRITE MAPS. 2010. HAL Id: hal-00593321 https://hal.archives-ouvertes.fr/hal-00593321v2

More information

A new simple recursive algorithm for finding prime numbers using Rosser s theorem

A new simple recursive algorithm for finding prime numbers using Rosser s theorem A new simple recursive algorithm for finding prime numbers using Rosser s theorem Rédoane Daoudi To cite this version: Rédoane Daoudi. A new simple recursive algorithm for finding prime numbers using Rosser

More information

Lower bound of the covering radius of binary irreducible Goppa codes

Lower bound of the covering radius of binary irreducible Goppa codes Lower bound of the covering radius of binary irreducible Goppa codes Sergey Bezzateev, Natalia Shekhunova To cite this version: Sergey Bezzateev, Natalia Shekhunova. Lower bound of the covering radius

More information

The Mahler measure of trinomials of height 1

The Mahler measure of trinomials of height 1 The Mahler measure of trinomials of height 1 Valérie Flammang To cite this version: Valérie Flammang. The Mahler measure of trinomials of height 1. Journal of the Australian Mathematical Society 14 9 pp.1-4.

More information

Beat phenomenon at the arrival of a guided mode in a semi-infinite acoustic duct

Beat phenomenon at the arrival of a guided mode in a semi-infinite acoustic duct Beat phenomenon at the arrival of a guided mode in a semi-infinite acoustic duct Philippe GATIGNOL, Michel Bruneau, Patrick LANCELEUR, Catherine Potel To cite this version: Philippe GATIGNOL, Michel Bruneau,

More information

The Factorization Method for Inverse Scattering Problems Part I

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 information

The sound power output of a monopole source in a cylindrical pipe containing area discontinuities

The sound power output of a monopole source in a cylindrical pipe containing area discontinuities The sound power output of a monopole source in a cylindrical pipe containing area discontinuities Wenbo Duan, Ray Kirby To cite this version: Wenbo Duan, Ray Kirby. The sound power output of a monopole

More information

The Factorization method applied to cracks with impedance boundary conditions

The 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 information

Dissipative Systems Analysis and Control, Theory and Applications: Addendum/Erratum

Dissipative Systems Analysis and Control, Theory and Applications: Addendum/Erratum Dissipative Systems Analysis and Control, Theory and Applications: Addendum/Erratum Bernard Brogliato To cite this version: Bernard Brogliato. Dissipative Systems Analysis and Control, Theory and Applications:

More information

Antipodal radiation pattern of a patch antenna combined with superstrate using transformation electromagnetics

Antipodal radiation pattern of a patch antenna combined with superstrate using transformation electromagnetics Antipodal radiation pattern of a patch antenna combined with superstrate using transformation electromagnetics Mark Clemente Arenas, Anne-Claire Lepage, Xavier Begaud To cite this version: Mark Clemente

More information

New estimates for the div-curl-grad operators and elliptic problems with L1-data in the whole space and in the half-space

New estimates for the div-curl-grad operators and elliptic problems with L1-data in the whole space and in the half-space New estimates for the div-curl-grad operators and elliptic problems with L1-data in the whole space and in the half-space Chérif Amrouche, Huy Hoang Nguyen To cite this version: Chérif Amrouche, Huy Hoang

More information

Posterior Covariance vs. Analysis Error Covariance in Data Assimilation

Posterior Covariance vs. Analysis Error Covariance in Data Assimilation Posterior Covariance vs. Analysis Error Covariance in Data Assimilation François-Xavier Le Dimet, Victor Shutyaev, Igor Gejadze To cite this version: François-Xavier Le Dimet, Victor Shutyaev, Igor Gejadze.

More information

Easter bracelets for years

Easter bracelets for years Easter bracelets for 5700000 years Denis Roegel To cite this version: Denis Roegel. Easter bracelets for 5700000 years. [Research Report] 2014. HAL Id: hal-01009457 https://hal.inria.fr/hal-01009457

More information

Hook lengths and shifted parts of partitions

Hook lengths and shifted parts of partitions Hook lengths and shifted parts of partitions Guo-Niu Han To cite this version: Guo-Niu Han Hook lengths and shifted parts of partitions The Ramanujan Journal, 009, 9 p HAL Id: hal-00395690

More information

On sl3 KZ equations and W3 null-vector equations

On sl3 KZ equations and W3 null-vector equations On sl3 KZ equations and W3 null-vector equations Sylvain Ribault To cite this version: Sylvain Ribault. On sl3 KZ equations and W3 null-vector equations. Conformal Field Theory, Integrable Models, and

More information

Optimized Schwarz Methods for Maxwell Equations with Discontinuous Coefficients

Optimized Schwarz Methods for Maxwell Equations with Discontinuous Coefficients Optimized Schwarz Methods for Maxwell Equations with Discontinuous Coefficients Victorita Dolean, Martin Gander, Erwin Veneros To cite this version: Victorita Dolean, Martin Gander, Erwin Veneros. Optimized

More information

Inverse Scattering Theory and Transmission Eigenvalues

Inverse Scattering Theory and Transmission Eigenvalues Inverse Scattering Theory and Transmission Eigenvalues David Colton Department of Mathematical Sciences University of Delaware Newark, DE 19716, USA email: colton@udel.edu Research supported a grant from

More information

Case report on the article Water nanoelectrolysis: A simple model, Journal of Applied Physics (2017) 122,

Case report on the article Water nanoelectrolysis: A simple model, Journal of Applied Physics (2017) 122, Case report on the article Water nanoelectrolysis: A simple model, Journal of Applied Physics (2017) 122, 244902 Juan Olives, Zoubida Hammadi, Roger Morin, Laurent Lapena To cite this version: Juan Olives,

More information

The Windy Postman Problem on Series-Parallel Graphs

The Windy Postman Problem on Series-Parallel Graphs The Windy Postman Problem on Series-Parallel Graphs Francisco Javier Zaragoza Martínez To cite this version: Francisco Javier Zaragoza Martínez. The Windy Postman Problem on Series-Parallel Graphs. Stefan

More information

Thomas Lugand. To cite this version: HAL Id: tel

Thomas Lugand. To cite this version: HAL Id: tel Contribution à la Modélisation et à l Optimisation de la Machine Asynchrone Double Alimentation pour des Applications Hydrauliques de Pompage Turbinage Thomas Lugand To cite this version: Thomas Lugand.

More information

Full-order observers for linear systems with unknown inputs

Full-order observers for linear systems with unknown inputs Full-order observers for linear systems with unknown inputs Mohamed Darouach, Michel Zasadzinski, Shi Jie Xu To cite this version: Mohamed Darouach, Michel Zasadzinski, Shi Jie Xu. Full-order observers

More information

Nel s category theory based differential and integral Calculus, or Did Newton know category theory?

Nel s category theory based differential and integral Calculus, or Did Newton know category theory? Nel s category theory based differential and integral Calculus, or Did Newton know category theory? Elemer Elad Rosinger To cite this version: Elemer Elad Rosinger. Nel s category theory based differential

More information

Dispersion relation results for VCS at JLab

Dispersion relation results for VCS at JLab Dispersion relation results for VCS at JLab G. Laveissiere To cite this version: G. Laveissiere. Dispersion relation results for VCS at JLab. Compton Scattering from Low to High Momentum Transfer, Mar

More information

ELASTIC WAVE PROPAGATION IN THREE-DIMENSIONAL PERIODIC COMPOSITE MATERIALS

ELASTIC WAVE PROPAGATION IN THREE-DIMENSIONAL PERIODIC COMPOSITE MATERIALS ELASTIC WAVE PROPAGATION IN THREE-DIMENSIONAL PERIODIC COMPOSITE MATERIALS B. Auld, Y. Shui, Y. Wang To cite this version: B. Auld, Y. Shui, Y. Wang. ELASTIC WAVE PROPAGATION IN THREE-DIMENSIONAL PERI-

More information

Sound intensity as a function of sound insulation partition

Sound intensity as a function of sound insulation partition Sound intensity as a function of sound insulation partition S. Cvetkovic, R. Prascevic To cite this version: S. Cvetkovic, R. Prascevic. Sound intensity as a function of sound insulation partition. Journal

More information

A modification of the factorization method for scatterers with different physical properties

A modification of the factorization method for scatterers with different physical properties A modification of the factorization method for scatterers with different physical properties Takashi FURUYA arxiv:1802.05404v2 [math.ap] 25 Oct 2018 Abstract We study an inverse acoustic scattering problem

More information

A Simple Model for Cavitation with Non-condensable Gases

A Simple Model for Cavitation with Non-condensable Gases A Simple Model for Cavitation with Non-condensable Gases Mathieu Bachmann, Siegfried Müller, Philippe Helluy, Hélène Mathis To cite this version: Mathieu Bachmann, Siegfried Müller, Philippe Helluy, Hélène

More information

A non-commutative algorithm for multiplying (7 7) matrices using 250 multiplications

A non-commutative algorithm for multiplying (7 7) matrices using 250 multiplications A non-commutative algorithm for multiplying (7 7) matrices using 250 multiplications Alexandre Sedoglavic To cite this version: Alexandre Sedoglavic. A non-commutative algorithm for multiplying (7 7) matrices

More information

Smart Bolometer: Toward Monolithic Bolometer with Smart Functions

Smart Bolometer: Toward Monolithic Bolometer with Smart Functions Smart Bolometer: Toward Monolithic Bolometer with Smart Functions Matthieu Denoual, Gilles Allègre, Patrick Attia, Olivier De Sagazan To cite this version: Matthieu Denoual, Gilles Allègre, Patrick Attia,

More information

On the Griesmer bound for nonlinear codes

On the Griesmer bound for nonlinear codes On the Griesmer bound for nonlinear codes Emanuele Bellini, Alessio Meneghetti To cite this version: Emanuele Bellini, Alessio Meneghetti. On the Griesmer bound for nonlinear codes. Pascale Charpin, Nicolas

More information

The Fate of the Landau Levels under Perturbations of Constant Sign

The Fate of the Landau Levels under Perturbations of Constant Sign The Fate of the Landau Levels under Perturbations of Constant Sign Frédéric Klopp, Georgi Raikov To cite this version: Frédéric Klopp, Georgi Raikov. The Fate of the Landau Levels under Perturbations of

More information

STOKES PROBLEM WITH SEVERAL TYPES OF BOUNDARY CONDITIONS IN AN EXTERIOR DOMAIN

STOKES 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 information

IMPROVEMENTS OF THE VARIABLE THERMAL RESISTANCE

IMPROVEMENTS OF THE VARIABLE THERMAL RESISTANCE IMPROVEMENTS OF THE VARIABLE THERMAL RESISTANCE V. Szekely, S. Torok, E. Kollar To cite this version: V. Szekely, S. Torok, E. Kollar. IMPROVEMENTS OF THE VARIABLE THERMAL RESIS- TANCE. THERMINIC 2007,

More information

A Direct Method for reconstructing inclusions from Electrostatic Data

A 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 information

A simple kinetic equation of swarm formation: blow up and global existence

A simple kinetic equation of swarm formation: blow up and global existence A simple kinetic equation of swarm formation: blow up and global existence Miroslaw Lachowicz, Henryk Leszczyński, Martin Parisot To cite this version: Miroslaw Lachowicz, Henryk Leszczyński, Martin Parisot.

More information

HARNACK AND SHMUL YAN PRE-ORDER RELATIONS FOR HILBERT SPACE CONTRACTIONS

HARNACK AND SHMUL YAN PRE-ORDER RELATIONS FOR HILBERT SPACE CONTRACTIONS HARNACK AND SHMUL YAN PRE-ORDER RELATIONS FOR HILBERT SPACE CONTRACTIONS Catalin Badea, Laurian Suciu To cite this version: Catalin Badea, Laurian Suciu. HARNACK AND SHMUL YAN PRE-ORDER RELATIONS FOR HILBERT

More information

Soundness of the System of Semantic Trees for Classical Logic based on Fitting and Smullyan

Soundness of the System of Semantic Trees for Classical Logic based on Fitting and Smullyan Soundness of the System of Semantic Trees for Classical Logic based on Fitting and Smullyan Shahid Rahman To cite this version: Shahid Rahman. Soundness of the System of Semantic Trees for Classical Logic

More information

The FLRW cosmological model revisited: relation of the local time with th e local curvature and consequences on the Heisenberg uncertainty principle

The FLRW cosmological model revisited: relation of the local time with th e local curvature and consequences on the Heisenberg uncertainty principle The FLRW cosmological model revisited: relation of the local time with th e local curvature and consequences on the Heisenberg uncertainty principle Nathalie Olivi-Tran, Paul M Gauthier To cite this version:

More information

A conformal mapping method in inverse obstacle scattering

A conformal mapping method in inverse obstacle scattering A conformal mapping method in inverse obstacle scattering Houssem Haddar, Rainer Kress To cite this version: Houssem Haddar, Rainer Kress. A conformal mapping method in inverse obstacle scattering. Complex

More information

ITERATIVE METHODS FOR TRANSMISSION EIGENVALUES

ITERATIVE METHODS FOR TRANSMISSION EIGENVALUES ITERATIVE METHODS FOR TRANSMISSION EIGENVALUES JIGUANG SUN Abstract. Transmission eigenvalues have important applications in inverse scattering theory. They can be used to obtain useful information of

More information