High frequency wave propagation in non-uniform regular discrete media

Size: px
Start display at page:

Download "High frequency wave propagation in non-uniform regular discrete media"

Transcription

1 High frequency wave propagation in non-uniform regular discrete media Aurora MARICA BCAM - Basque Center for Applied Mathematics Derio, Basque Country, Spain Workshop of the ESF project OPTIMIZATION WITH PDE CONSTRAINTS Prague, Charles University December 09, 2011 joint work with Enrique Zuazua zuazua@bcamath.org Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

2 Problem formulation Transport and wave equation on R: ϱ(yu t(y, t u y (y, t = 0, y R, t > 0, u(y, 0 = u 0 (y. (1 ρ(yu tt(y, t (σ(yu y y (y, t = 0, y R, u(y, 0 = u 0 (y, u t(y, 0 = u 1 (y, y R. (2 Energy conserved in time: E ϱ(u 0 := 1 u(y, t 2 ϱ(y dy and E ρ,σ(u 0, u 1 := 1 (ρ(y u t(y, t 2 + σ(y u y (y, t 2 dy. 2 2 R R ϱ C 0,1 (R, (1 can be uniquely solved as u(y(t, t = u 0 (y, where ẏ(t = 1, t > 0, y(0 = y R. (3 ϱ(y(t ũ(ỹ, t = u(y, t, with ỹ = H(y and H (y = ϱ(y, (1 becomes ũ t(ỹ, t ũỹ (ỹ, t = 0, ỹ R, t > 0, ũ(ỹ, 0 = ũ 0 (ỹ := u 0 (H 1 (ỹ, (4 for which the solution is ũ(ỹ, t = ũ 0 (ỹ + t = u 0 (H 1 (ỹ + t and then the solution of (1 is given by u(y, t = u 0 (H 1 (H(y + t. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

3 Finite difference approximations Let h > 0 be the mesh size parameter, g : R R be an increasing function on R, G h := {x j := jh, j Z} and G h g := {g j := g(x j, j Z} the uniform grid of size h of R and the non-uniform one obtained by transforming the uniform one through the map g. Finite difference semi-discretization of (1 and (2 on the non-uniform grid G h g : and ϱ(g j u j,t (t u j+1(t u j 1 (t g j+1 g j 1 = 0, j Z, u j (0 = u 0 j, j Z (5 ρ(g j u j,tt (t σ(g j+1/2 u j+1(t u j (t g j+1 g j Energy is conserved in time σ(g j 1/2 u j (t u j 1 (t g j g j 1 g j+1 g j 1 2 = 0, u j (0 = u 0 j, u j,t(0 = u 1 j. (6 E h ϱ,g (u h,0 := h j R ϱ(g j h g j u j (t 2 and E h ρ,σ,g (u h,0, u h,1 := h [ h g j ρ(g j u j,t (t 2 + σ(g j+1/2 2 h,+ h,+ u j (t 2]. g j Z j Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

4 ( u h (t u(g(x h, t, u h t (t ut(g(xh, t l 2 hc(t, g, ρ, σ, u 0, u 1. (8 Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24 Convergence result Proposition ϱ C 1 (R s.t. 0 < ϱ ϱ(y ϱ + and ϱ (y ϱ +, u 0 Cc 2 (R in (1, g C 1 (R s.t. 0 < g g (x g + <, (5 with data u 0,h := (u 0 (g j j Z is convergent of order O(h for the transport equation u h (t u(g(x h, t l 2 Cth. (7 h Proposition ρ C 1 (R, σ C 2 (R s.t. 0 < ρ ρ(y ρ +, ρ (y ρ + d, 0 < σ σ(y σ +, σ (y σ + dd, (u 0, u 1 H k H k 1 (R, with k 3 + 1/2, in (2 g C 2 (R s.t. 0 < g d g (x g + d and g (x g + dd (6 with data (u h,0, u h,1 := (u 0 (g j, u 1 (g j j Z is convergent of order O(h for the wave equation

5 Aim: analyze the discrete versions of the observability inequality for (2: T E σ,ρ(u 0, u 1 C(T E σ,ρ,ω (u(, t, u t(, t dt, (9 0 for all solutions u of (2 with initial data (u 0, u 1 H := Ḣ 1 L 2 (R. Here Ω := R \ ( 1, 1 and E ρ,σ,ω (f 0, f 1 is the energy concentrated in Ω given below: E ρ,σ,ω (f 0, f 1 := 1 (σ(y fy 0 (y 2 + ρ(y f 1 (y 2 dy. 2 Ω Pathologies and remedies for numerical approximations of waves on uniform media Ervedoza, Zuazua, The wave equation: control and numerics, CIME Subseries, Springer. M., Zuazua, Localized solutions and filtering mechanisms for the DG semi-discretizations of the 1 d wave equation, CRAS, Rays of Geometric Optics: Bardos, Lebeau, Rauch, Sharp sufficient conditions for observation, control and stabilization of waves from the boundary, SIAM J. Cont. Optim., Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

6 Rays of GO - continuous and discrete on uniform meshes cases Continuous rays: x(t = x ± t Discrete rays on uniform meshes: x(t = x ± tω h (ξ 0, where ω h (ξ := 2 sin(ξh/2/h. (a continuous (b discrete, ξ 0 = π/2h (c discrete, ξ 0 = 2π/3h Nπ 0 0 N (d Continuous (blue and discrete (red dispersion relations Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

7 Known facts on non-uniform meshes I RESOLVENT ESTIMATES Ervedoza, Spectral conditions for admissibility and observability of wave systems, Numer. Mathematik, The observability inequality for general finite element semi-discretizations of the wave equation corresponding to a convergent approximation of order h θ of the Laplacian holds uniformly as h 0 in a class of truncated solutions generated by eigenvalues of order (ɛ/h θ 2, for some ɛ > 0, which does not include the critical scale 1/h 2 appearing in the numerical approximations on uniform meshes. MIXED FINITE ELEMENTS METHODS Ervedoza, On the mixed finite element method for the 1 d wave equation on non-uniform meshes, ESAIM:COCV, The numerical scheme: g j+1 g j (u j+1 4 (t+u j (t+ g j g j 1 4 (u j (t+u j 1 (t u j+1(t u j (t g j+1 g j u j (t u j 1 (t g j g j 1 = 0. Eigenvalues λ: kπ N 2 = arctan λ(g j+1 g j, 1 k N. 2 j=0 Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

8 Known facts on non-uniform meshes II SPECTRAL DISTRIBUTION OF LOCALLY TOEPLITZ SEQUENCE MATRICES Beckerman, Serra-Capizzano, On the asymptotic spectrum of FEM matrix sequences, SINUM, Tilli, Locally Toeplitz sequences: spectral properties and applications, Lin. Alg. Appl., (a(xu x x = b(x, x (0, 1 Szegö Theorem. Uniform mesh + constant coefficients. T N (ω = Toeplitz matrix whose diagonals are Fourier coefficients ω j (0 j N of ω : ( π, π C and (λ j 1 j N are the eigenvalues of T N (ω. Then F C b c (R: 1 lim N N N F (λ j = 1 π F (ω(ξ dξ. 2π j=1 π Uniform mesh + variable coefficients. T N (ω, a = locally Toeplitz matrix, a : (0, 1 R, then 1 N lim F (λ j = 1 π 1 F (ω(ξa(x dx dξ. N N 2π j=1 π 0 Non-uniform mesh + variable coefficients. Scheme generating a Toeplitz matrix whose diagonals are generated by ω and on a non-uniform mesh g locally Toeplitz matrix T N (ω, a, y s.t. 1 lim N N N F (λ j = 1 π 1 2π j=1 π 0 ( a(g(x F g (x 2 ω(ξ dx dξ. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

9 Wigner transform Continuous Wigner transform at the scale ɛ of f : W ɛ [f ](x, ξ := 1 f (x ɛz/2f (x + ɛz/2 exp(iξz dz. (10 2π R Singular phenomena: Concentration: f k (x = k 1/2 a(k(x x 0 Oscillation in the direction ξ 0 : g k (x = a(x exp(ikxξ 0. Defect measure: ν[f k ](x = a 2 2 δx 0 and ν[g k ](x = a(x 2 dx. Wigner measure: w ɛ [f k ](x, ξ a 2 2 δx 0 (x δ 0(ξ and w ɛ [g k ](x, ξ a(x 2 dx δ 0 (ξ for ɛk << 1 w ɛ [f k ](x, ξ δ x0 (x 1 2π â(ξ 2 dξ and w ɛ [g k ](x, ξ a(x 2 dx δ ξ0 (ξ as ɛk = 1 in S (R x R ξ. Discrete Wigner transform at scale ɛ: ( W ɛ [f h xm ] 2, ξ := 1 2π n m f m n f m+n exp(iξx n. 2 2 Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

10 Theorem ϱ in (1 s.t. 1/ϱ C 1,1 (R and u 0 = u 0,ɛ in (1 depending on the parameter ɛ > 0 s.t. E ϱ(u 0,ɛ is bounded as ɛ 0, a positive Radon measure µ = µ(x, t, ξ s.t. w ɛ [v ɛ ](y, t, ξ µ(y, t, ξ weakly star in S (R y R ξ uniformly in t. Moreover, µ satisfies the equation µ t(y, t, ξ = (1/ϱ(yµ y (y, t, ξ (1/ϱ (yξµ ξ (y, t, ξ, µ(y, 0, ξ = µ 0 (y, ξ. (11 Here, v ɛ (y, t := ϱ(yu ɛ (y, t. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

11 Proof of Theorem 1 Step I. Weak convergence of the Wigner transforms w ɛ [v ɛ ]: w ɛ (y, t, ξ µ(y, t, ξ weakly star in S (R y R ξ as ɛ 0, t 0, (12 where µ is a positive Radon measure. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

12 Proof of Theorem 1 Step I. Weak convergence of the Wigner transforms w ɛ [v ɛ ]: w ɛ (y, t, ξ µ(y, t, ξ weakly star in S (R y R ξ as ɛ 0, t 0, (12 where µ is a positive Radon measure. Step II. Equation satisfied by the Wigner transform w ɛ : { w ɛ t (y, t, ξ = K ɛ 1,c (y, w ɛ (y, t, ξ + K ɛ 1,c (y, w ɛ y (y, t, ξ + K ɛ 2,c (y, ( iξw ɛ (y, t, ξ, w ɛ (y, 0, ξ = w ɛ [v 0,ɛ ](y, ξ, where c(y := 1/ϱ(y. (13 Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

13 Proof of Theorem 1 Step I. Weak convergence of the Wigner transforms w ɛ [v ɛ ]: w ɛ (y, t, ξ µ(y, t, ξ weakly star in S (R y R ξ as ɛ 0, t 0, (12 where µ is a positive Radon measure. Step II. Equation satisfied by the Wigner transform w ɛ : { w ɛ t (y, t, ξ = K ɛ 1,c (y, w ɛ (y, t, ξ + K ɛ 1,c (y, w ɛ y (y, t, ξ + K ɛ 2,c (y, ( iξw ɛ (y, t, ξ, w ɛ (y, 0, ξ = w ɛ [v 0,ɛ ](y, ξ, where c(y := 1/ϱ(y. (13 Step III. Let us multiply equation (13 by a smooth function a S(R y R ξ, integrate in R 2, use Parseval identity in the ξ variable to obtain ɛ t (y, t, ξa(y, ξ dy dξ = (14 R 2 w = 1 [ K 2π 1,c ɛ (y, zŵ ɛ (y, t, z + K 1,c ɛ (y, z y ŵ ɛ (y, t, z + K 2,c ɛ (y, z z ŵ ɛ (y, t, z ] â(y, z dy dz. R 2 Here, denotes the Fourier transform in the ξ variable. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

14 Equation (14 can be written as: ɛ wt (y, t, ξa(y, ξ dy dξ = where (a c ɛ (y, ξ = 1 2π R 2 R R 2 w ɛ (y, t, ξ(a c ɛ (y, ξ dy dξ, (15 [ K ɛ 1,c (y, zâ(y, z y ( K ɛ 1,c (y, zâ(y, z z ( K ɛ 2,c (y, zâ(y, z] exp(iξz dz. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

15 Equation (14 can be written as: ɛ wt (y, t, ξa(y, ξ dy dξ = where (a c ɛ (y, ξ = 1 2π R 2 R R 2 w ɛ (y, t, ξ(a c ɛ (y, ξ dy dξ, (15 [ K ɛ 1,c (y, zâ(y, z y ( K ɛ 1,c (y, zâ(y, z z ( K ɛ 2,c (y, zâ(y, z] exp(iξz dz. (a c ɛ (y, ξ (a c 0 (y, ξ = y (c(ya(y, ξ + c (y ξ (ξa(y, ξ (16 strongly in S(R y R ξ as ɛ 0. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

16 Equation (14 can be written as: ɛ wt (y, t, ξa(y, ξ dy dξ = where (a c ɛ (y, ξ = 1 2π R 2 R R 2 w ɛ (y, t, ξ(a c ɛ (y, ξ dy dξ, (15 [ K ɛ 1,c (y, zâ(y, z y ( K ɛ 1,c (y, zâ(y, z z ( K ɛ 2,c (y, zâ(y, z] exp(iξz dz. (a c ɛ (y, ξ (a c 0 (y, ξ = y (c(ya(y, ξ + c (y ξ (ξa(y, ξ (16 strongly in S(R y R ξ as ɛ 0. Indeed, y α ( K α,c ɛ (y, zâ(y, z = y α K ɛ α,c (y, zâ(y, z + K α,c ɛ (y, z y α â(y, z, for all α {1, 2}, with y 1 = y and y 2 = z. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

17 Equation (14 can be written as: ɛ wt (y, t, ξa(y, ξ dy dξ = where (a c ɛ (y, ξ = 1 2π R 2 R R 2 w ɛ (y, t, ξ(a c ɛ (y, ξ dy dξ, (15 [ K ɛ 1,c (y, zâ(y, z y ( K ɛ 1,c (y, zâ(y, z z ( K ɛ 2,c (y, zâ(y, z] exp(iξz dz. (a c ɛ (y, ξ (a c 0 (y, ξ = y (c(ya(y, ξ + c (y ξ (ξa(y, ξ (16 strongly in S(R y R ξ as ɛ 0. Indeed, y α ( K α,c ɛ (y, zâ(y, z = y α K ɛ α,c (y, zâ(y, z + K α,c ɛ (y, z y α â(y, z, for all α {1, 2}, with y 1 = y and y 2 = z. Moreover y K ɛ 1,c = K ɛ 1,c, z K ɛ 2,c = K ɛ 1,c, Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

18 Equation (14 can be written as: ɛ wt (y, t, ξa(y, ξ dy dξ = where (a c ɛ (y, ξ = 1 2π R 2 R R 2 w ɛ (y, t, ξ(a c ɛ (y, ξ dy dξ, (15 [ K ɛ 1,c (y, zâ(y, z y ( K ɛ 1,c (y, zâ(y, z z ( K ɛ 2,c (y, zâ(y, z] exp(iξz dz. (a c ɛ (y, ξ (a c 0 (y, ξ = y (c(ya(y, ξ + c (y ξ (ξa(y, ξ (16 strongly in S(R y R ξ as ɛ 0. Indeed, y α ( K α,c ɛ (y, zâ(y, z = y α K ɛ α,c (y, zâ(y, z + K α,c ɛ (y, z y α â(y, z, for all α {1, 2}, with y 1 = y and y 2 = z. Moreover y K ɛ 1,c = K 1,c ɛ, z K ɛ 2,c = K 1,c ɛ, 1 K 1, c ɛ (y, zâ(y, z exp(iξz dz c(ya(y, ξ 2π R Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

19 Equation (14 can be written as: ɛ wt (y, t, ξa(y, ξ dy dξ = where (a c ɛ (y, ξ = 1 2π R 2 R R 2 w ɛ (y, t, ξ(a c ɛ (y, ξ dy dξ, (15 [ K ɛ 1,c (y, zâ(y, z y ( K ɛ 1,c (y, zâ(y, z z ( K ɛ 2,c (y, zâ(y, z] exp(iξz dz. (a c ɛ (y, ξ (a c 0 (y, ξ = y (c(ya(y, ξ + c (y ξ (ξa(y, ξ (16 strongly in S(R y R ξ as ɛ 0. Indeed, y α ( K α,c ɛ (y, zâ(y, z = y α K ɛ α,c (y, zâ(y, z + K α,c ɛ (y, z y α â(y, z, for all α {1, 2}, with y 1 = y and y 2 = z. Moreover y K ɛ 1,c = K 1,c ɛ, z K ɛ 2,c = K 1,c ɛ, 1 K 1, c ɛ (y, zâ(y, z exp(iξz dz c(ya(y, ξ 2π R and 1 K 2, c ɛ 2π (y, zâz (y, z exp(iξz dz c (y ξ (ξa(y, ξ, R for all enough regular function c. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

20 Gérard, Markowich, Mauser, Poupaud, Homogenization limits and Wigner transforms, Comm. Pure Appl. Math., Lions P.-L., Paul, Sur les mesures de Wigner, Rev. Matemática Iberoamericana, Schrödinger equation with potential ihψ h t = h2 ψ h xx + V (xψh, (x, t R R, is transformed into Liouville equation w t + ξw x V x w ξ = 0, which needs V C 1,1 (R for uniqueness. (y(t, ξ(t is the solution of the following Hamiltonian system: y (t = (1/ϱ(y(t, ξ (t = (1/ϱ (y(tξ(t, y(0 = y, ξ(0 = ξ. (17 p(y, t, ξ, τ := ϱ(yτ + ξ - the Hamiltonian associated to (1 whose null bi-characteristic lines are the solutions of { Ẏ (s = ξ p(y (s, t(s, Ξ(s, τ(s = 1, ṫ(s = τ p(y (s, t(s, Ξ(s, τ(s = ϱ(y (s, Ξ(s = y p(y (s, t(s, Ξ(s, τ(s = τϱ (Y (s, τ(s = tp = 0 (y(t, ξ(t = (Y (s, Ξ(s. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

21 High frequency wave propagation for the transport equation ϱ(g(x g(x + h g(x h ṽt h (x, t ṽ h (x + h, t ṽ h (x h, t = 0, ṽ h (x, 0 = ṽ 0,h (x. 2h 2h (18 ϱ h g (x := ϱ(g(x(g(x + h g(x h/2h ϱg (x := ϱ(g(xg (x. v h (x, t = ϱ h g (xṽ h (x, t satisfies the equation: v h t (x, t = Theorem v h (x+h,t ϱ h v (x h,t h g (x+h ϱ h g ϱ (x h g (x 2h ϱ h g (x h, v h (x, 0 = v 0,h (x := ϱ h g (xṽ 0,h (x. (19 For all ϱ in (1 and all g s.t. 1/ϱ g C 1,1 (R and all bounded v 0,h, there exists a positive Radon measure µ = µ(x, t, ξ defined on R R + R such that w h [v h ](x, t, ξ µ(x, t, ξ weakly star in S (R x D ([ π, π] uniformly in t. The measure µ satisfies the equation µ t = (1/ϱ g (xcos(ξµ x (1/ϱ g (xsin(ξµ ξ, µ(x, 0, ξ = µ 0 (x, ξ := lim h 0 w h [v 0,h ](x, ξ. (20 Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

22 (x(t, ξ(t is the solution of the following Hamiltonian system: x (t = (1/ϱ g (x(tcos(ξ(t, ξ (t = (1/ϱ g (x(tsin(ξ(t, x(0 = x, ξ(0 = ξ. (21 p(x, t, ξ, τ := ϱ g (xτ + sin(ξ - the Hamiltonian associated to the solution of (5 whose null bi-characteristic lines are the solutions of the following system Ẋ (s = ξ p(x (s, t(s, Ξ(s, τ(s = cos(ξ(s, ṫ(s = τ p(x (s, t(s, Ξ(s, τ(s = ϱ g (X (s, Ξ(s = x p(x (s, t(s, Ξ(s, τ(s = τϱ g (X (s, τ(s = tp(x (s, t(s, Ξ(s, τ(s = 0. (22 Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

23 Wigner measures for the continuous wave equation (w(y, t, w(y, t := ( ρ(yu t(y, t, σ(yu y (y, t satisfies: ( ( ( wt(y, t w(y, t 0 c(y = A, A := y + d(y w t(y, t w(y, t c(y y + e(y 0 σ(y c(y := ρ(y, d(y := σ (y σ(yρ 2 (y and e(y := σ(yρ(y Theorem 2ρ(y ρ(y,, (23 For each coefficient c C 1,1 (R and each initial data (w ɛ,0, w ɛ,0 in (23 bounded in (L 2 (R 2 as ɛ 0, there exists a positive Radon measure W(y, t, ξ defined on R R + R such that W ɛ [w ɛ ](y, t, ξ + W ɛ [ w ɛ ](y, t, ξ W(y, t, ξ weakly star in S (R y R ξ. Moreover, W can be split into two positive Radon measures as W = W + + W, where W ± := lim W ɛ,± is the Wigner ɛ 0 measures of w ɛ,± solving (25 with initial data w ɛ,0,± := (w ɛ,0 ± w ɛ,0 / 2. Each Wigner measure W ± satisfies the transport equation W ± t (y, t, ξ = c(yw± y (y, t, ξ ± c (yξw ± ξ (y, t, ξ, W± (y, 0, ξ = lim ɛ 0 W ɛ,± (y, 0, ξ. (24 w ± (y, t = (w(y, t ± w(y, t/ 2 satisfies: ( w + ( t (y, t w wt = (y, t à + ( (y, t c(y y + 1 w, à := 2 c (y 1 2 c(y (y, t 1 2 c(y c(y y 1 2 c (y (25 Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

24 Given a d d - matrix valued function Θ(y, ξ, define the pseudo-differential operator Θ(y, ɛ y : Θ(y, ɛ y f(y := 1 Θ(y, ɛξ f(ξ exp(iξy dξ. (26 2π R Set w(y, t := (w(y, t, w(y, t and Θ(y, ξ := Θ 1 (y, ξ + ɛθ 0 (y, ξ, where ( ( 0 c(yiξ 0 d(y Θ 1 (y, ξ := and Θ c(yiξ 0 0 (y, ξ := e(y 0 Using this notation, system (23 can be written as w t(y, t = 1 ( 1 ɛ Θ(y, ɛ y w(y, t = ɛ Θ 1(y, ɛ y + Θ 0 (y, ɛ y w(y, t. (27 The matrix Θ 1 (y, ξ admits the Fourier decomposition Θ 1 (y, ξ = i (y, ξλ(y, ξ( (y, ξ, where ( λ + c,ξ (y, ξ 0 Λ(y, ξ := 0 λ, (y, ξ := 1 ( 1 1, (28 c,ξ (y, ξ and λ ± c,ξ (y, ξ := ±c(yξ. Define the projectors ± = ± (y, ξ ( := 0 0 = 1 ( ( 1 1 and = 0 1 In this way, the matrix Θ 1 (y, ξ can be decomposed as Moreover, the following identities hold:. = 1 ( Θ 1 (y, ξ = iλ + c,ξ (y, ξ + + iλ c,ξ (y, ξ. (29 ± ± = ±, ± = 0, + + = I 2. (30 Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24.

25 Expression of the Fourier transform in ξ of W ɛ [w ɛ ](y, t, ξ, Ŵɛ [w ɛ ](y, t, z: Ŵ ɛ t [w ɛ ](y, t, z = 1 ɛ Θ(y, ɛ y wɛ( y ɛz ( 2, t w ɛ( y + ɛz 2, t (31 + w ɛ( y ɛz 2, t 1 ( Θ(y, ɛ y w ɛ( y + ɛz. ɛ 2, t Multiply (31 by â(y, z/2π: where A ɛ = 1 2 (2π 2 ɛ R 4 and B ɛ = 1 2 (2π 2 ɛ R 4 1 2π Ŵɛ t [wɛ ], â S (R 2,S(R 2 = Aɛ + B ɛ, (32 1 ɛ Θ(2y x ɛz, ζwɛ (x, t (w ɛ (2y x, t exp ( 2iζ ɛ ( y x ɛz â(2y x ɛz 2 2, z w ɛ (x, t (w ɛ (2y x, t ( 1 ( 2iζ ( ɛ Θ(x+ɛz, ζ exp y x ɛz â(x+ ɛz ɛ 2 2, z dx dy 2y x ɛz = y + y 1, x + ɛz = y y 1, 2y x ɛz/2 = y + y 2 and x + ɛz/2 = y y 2, with y 1 = y x ɛz and y 2 = y x ɛz/2. Taylor expansions of Θ(y ± y 1, ζ and â(y ± y 2, z Θ(y ± y 1, ζ = Θ(y, ζ ± y 1 Θ y (y, ζ + y 2 1 R± Θ and â(y ± y 2, z = â(y, z ± y 2 â y (y, z + y 2 2 R± a. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

26 W ɛ t [w ɛ ] = Θ 1W ɛ [w ɛ ] W ɛ [w ɛ ]Θ 1 + Θ 0 W ɛ [w ɛ ] + W ɛ [w ɛ ]Θ 0 ɛ + 1 2i ({Θ 1, W ɛ [w ɛ ]} {W ɛ [w ɛ ], Θ 1 } (33 1 2i (Θ 1,yζW ɛ [w ɛ ] + W ɛ [w ɛ ]Θ 1,yζ + ɛr ɛ, where R ɛ is bounded in (S (R 2 4. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

27 The principal symbol associated to numerical scheme for the wave equation: ( (x, t, ξ, τ := g (xρ(g(xτ sin 2 ξ σ(g(x 2 g (x. (34 The null bi-characteristic lines associated to this principal symbol are the solutions of Ẋ (s = ξ = 2 sin(ξ(s σ(g(x (s g (X (s Ξ(s = x = (g ( ρ(g( (X (s 4 sin 2 ( Ξ(s 2, ṫ(s = τ = g (X (sρ(g(x (sτ, (X (s, τ(s = t = 0, ( σ(g( g ( subjected to the initial data (X (0, t(0, Ξ(0, τ(0 = (x 0, 0, ξ 0, τ 0 s.t. (x 0, 0, ξ 0, τ 0 = 0. (x ± (t, ξ ± (t := (X (s, Ξ(s is solution of (35 for τ ± 0 = ±2 sin(ξ(s/2c g (X (s, with c g (x := σ(g(x/ρ(g(x/g (x. (x ± (t, ξ ± (t is the solution of the following Hamiltonian system: ( ξ (x ± (t = c g (x ± ± (t (t cos, (ξ ± (t = ±c g 2 (x± (t2 sin ( ξ ± (t α h 1 (x := h g(xρ(g(x 1 ρ(g(xg (x, σ(g(x + h/2 βh (x := h,+ g(x γ h (x := α h (xβ h (x c g (x := 1 σ(g(x g (x ρ(g(x, δ h,+ (x c g (x and δ h, (x σ(g(x g (x 2 (35, x(0 = x 0, ξ(0 = ξ 0. σ(g(x g (x, δh,± (x := β h (x h,+ α h (x±α h (x h, β h (x. ( 1 (x. ρ(gσ(g Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

28 Set w j (t := v j (t/α j and w j (t := β j h,+ v j (t. (w h (t, w h (t are the solution of w j (t = γ j h, w j (t + α j ( h, β j w j 1 (t, w j (t = γ j h,+ w j (t + β j ( h,+ α j w j+1, (36 (36 can be also written in terms of the two pseudo-differential operators Θ h 1 (x, h x and Θ h 0 (x, h x generated by the matrices ( 0 γ Θ 1 (x, ξ := h (x(1 exp( iξ γ h (x(exp(iξ 1 0 and as follows ( Θ 0 (x, ξ := ( w h t (t w h t (t 0 α h (x h, β h (x exp( iξ β h (x h,+ α h (x exp(iξ 0 = 1 h Θh 1 (x, h x ( w h (t w h (t + Θ h 0 (x, h x ( w h (t w h (t. (37 The matrix Θ 1 (x, ξ admits the spectral decomposition Θ 1 (x, ξ = i (x, ξλ(x, ξ (x, ξ, where ( λ + (x, ξ 0 γ Λ(x, ξ := h,ω 0 λ, (x, ξ := 1 ( 1 1, (x, ξ γ h,ω 2 exp(iξ/2 exp(iξ/2 with λ ± γ h,ω (x, ξ = ±γh (x2 sin(ξ/2. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

29 Set ( w h,+ (t w h, (t ( =,h w (x, h x h (t w h (t. (38 Theorem For coefficient ρ, σ and non-uniform grids obtained by transformations g s.t. c g C 1,1 (R and for each initial data (w h,0, w h,0 in (36 bounded in l 2 as h 0, there exists a positive Radon measure W = W(x, t, ξ defined on R R + [ π, π] such that W h [w h ](x, t, ξ + W h [ w h ](x, t, ξ W(x, t, ξ weakly star in S (R x D ([ π, π]. Moreover, the measure W can be decomposed as W = W + + W, where W ± = lim h 0 W h [w h,± ] satisfies: W ± t (x, t, ξ = cg (xcos(ξ/2w± x (x, t, ξ ± c g (x2 sin(ξ/2w± ξ (x, t, ξ. (39 Macìa, Propagación y control de vibraciones en medios discretos y continuos, PhD. Thesis, Macìa, Wigner measures in the discrete setting: high frequency analysis of sampling and reconstruction operators, SIAM J. Math. Anal., Macìa, Zuazua, On the lack of observability for wave equations: a Gaussian beam approach, Asympt. Anal., Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

30 Numerical simulations Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

31 Conclusions and open problems In this talk: We give a meaning to the notion of rays of Geometric Optics by constructing appropriate transport equations. Open problems: To solve the Hamiltonian systems, we need ρ(g(xg (x C 1,1 (R. Study the case when the non-homogeneity of the grid is less regular. Adapt the multiplier techniques to prove the observability inequality for the non-uniform mesh case (a posteriori error estimates techniques. Adapt the filtering techniques (the bi-grid ones to remedy the pathological effects of the high-frequency spurious solutions. Study more sophisticated methods for the wave equation (DG ones, higher order ones on non-uniform meshes. The multi-d case. Dispersive estimates for the Schrödinger equation on non-uniform meshes. Meshes which are given randomly. Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

32 Conclusions and open problems In this talk: We give a meaning to the notion of rays of Geometric Optics by constructing appropriate transport equations. Open problems: To solve the Hamiltonian systems, we need ρ(g(xg (x C 1,1 (R. Study the case when the non-homogeneity of the grid is less regular. Adapt the multiplier techniques to prove the observability inequality for the non-uniform mesh case (a posteriori error estimates techniques. Adapt the filtering techniques (the bi-grid ones to remedy the pathological effects of the high-frequency spurious solutions. Study more sophisticated methods for the wave equation (DG ones, higher order ones on non-uniform meshes. The multi-d case. Dispersive estimates for the Schrödinger equation on non-uniform meshes. Meshes which are given randomly. Thank you very much for your attention! Aurora Marica (BCAM Wave propagation heterogeneous media OPTPDE, Prague - 09/12/ / 24

Wave propagation in discrete heterogeneous media

Wave propagation in discrete heterogeneous media www.bcamath.org Wave propagation in discrete heterogeneous media Aurora MARICA marica@bcamath.org BCAM - Basque Center for Applied Mathematics Derio, Basque Country, Spain Summer school & workshop: PDEs,

More information

The effect of Group Velocity in the numerical analysis of control problems for the wave equation

The effect of Group Velocity in the numerical analysis of control problems for the wave equation The effect of Group Velocity in the numerical analysis of control problems for the wave equation Fabricio Macià École Normale Supérieure, D.M.A., 45 rue d Ulm, 753 Paris cedex 5, France. Abstract. In this

More information

Numerical dispersion and Linearized Saint-Venant Equations

Numerical dispersion and Linearized Saint-Venant Equations Numerical dispersion and Linearized Saint-Venant Equations M. Ersoy Basque Center for Applied Mathematics 11 November 2010 Outline of the talk Outline of the talk 1 Introduction 2 The Saint-Venant equations

More information

Dispersive numerical schemes for Schrödinger equations

Dispersive numerical schemes for Schrödinger equations Dispersive numerical schemes for Schrödinger equations Enrique Zuazua joint work with L. Ignat zuazua@bcamath.org Basque Center for Applied Mathematics (BCAM), Bilbao, Basque Country, Spain IMA Workshop:

More information

Hilbert Uniqueness Method and regularity

Hilbert Uniqueness Method and regularity Hilbert Uniqueness Method and regularity Sylvain Ervedoza 1 Joint work with Enrique Zuazua 2 1 Institut de Mathématiques de Toulouse & CNRS 2 Basque Center for Applied Mathematics Institut Henri Poincaré

More information

Third part: finite difference schemes and numerical dispersion

Third part: finite difference schemes and numerical dispersion Tird part: finite difference scemes and numerical dispersion BCAM - Basque Center for Applied Matematics Bilbao, Basque Country, Spain BCAM and UPV/EHU courses 2011-2012: Advanced aspects in applied matematics

More information

Control of Waves: Theory and Numerics

Control of Waves: Theory and Numerics BCAM, October, 2010 Control of Waves: Theory and Numerics Enrique Zuazua BCAM Basque Center for Applied Mathematics E-48160 Derio - Basque Country - Spain zuazua@bcamath.org www.bcamath.org/zuazua THE

More information

Z. Zhou On the classical limit of a time-dependent self-consistent field system: analysis. computation

Z. Zhou On the classical limit of a time-dependent self-consistent field system: analysis. computation On the classical limit of a time-dependent self-consistent field system: analysis and computation Zhennan Zhou 1 joint work with Prof. Shi Jin and Prof. Christof Sparber. 1 Department of Mathematics Duke

More information

Evolution problems involving the fractional Laplace operator: HUM control and Fourier analysis

Evolution problems involving the fractional Laplace operator: HUM control and Fourier analysis Evolution problems involving the fractional Laplace operator: HUM control and Fourier analysis Umberto Biccari joint work with Enrique Zuazua BCAM - Basque Center for Applied Mathematics NUMERIWAVES group

More information

Velocity averaging a general framework

Velocity averaging a general framework Outline Velocity averaging a general framework Martin Lazar BCAM ERC-NUMERIWAVES Seminar May 15, 2013 Joint work with D. Mitrović, University of Montenegro, Montenegro Outline Outline 1 2 L p, p >= 2 setting

More information

Numerical control of waves

Numerical control of waves Numerical control of waves Convergence issues and some applications Mark Asch U. Amiens, LAMFA UMR-CNRS 7352 June 15th, 2012 Mark Asch (GT Contrôle, LJLL, Parris-VI) Numerical control of waves June 15th,

More information

in Bounded Domains Ariane Trescases CMLA, ENS Cachan

in Bounded Domains Ariane Trescases CMLA, ENS Cachan CMLA, ENS Cachan Joint work with Yan GUO, Chanwoo KIM and Daniela TONON International Conference on Nonlinear Analysis: Boundary Phenomena for Evolutionnary PDE Academia Sinica December 21, 214 Outline

More information

Numerics for the Control of Partial Differential

Numerics for the Control of Partial Differential Springer-Verlag Berlin Heidelberg 2015 Björn Engquist Encyclopedia of Applied and Computational Mathematics 10.1007/978-3-540-70529-1_362 Numerics for the Control of Partial Differential Equations Enrique

More information

A space-time Trefftz method for the second order wave equation

A space-time Trefftz method for the second order wave equation A space-time Trefftz method for the second order wave equation Lehel Banjai The Maxwell Institute for Mathematical Sciences Heriot-Watt University, Edinburgh & Department of Mathematics, University of

More information

MATH 220: MIDTERM OCTOBER 29, 2015

MATH 220: MIDTERM OCTOBER 29, 2015 MATH 22: MIDTERM OCTOBER 29, 25 This is a closed book, closed notes, no electronic devices exam. There are 5 problems. Solve Problems -3 and one of Problems 4 and 5. Write your solutions to problems and

More information

Numerical Analysis of Differential Equations Numerical Solution of Parabolic Equations

Numerical Analysis of Differential Equations Numerical Solution of Parabolic Equations Numerical Analysis of Differential Equations 215 6 Numerical Solution of Parabolic Equations 6 Numerical Solution of Parabolic Equations TU Bergakademie Freiberg, SS 2012 Numerical Analysis of Differential

More information

Partial Differential Equations

Partial 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 information

Piecewise Smooth Solutions to the Burgers-Hilbert Equation

Piecewise Smooth Solutions to the Burgers-Hilbert Equation Piecewise Smooth Solutions to the Burgers-Hilbert Equation Alberto Bressan and Tianyou Zhang Department of Mathematics, Penn State University, University Park, Pa 68, USA e-mails: bressan@mathpsuedu, zhang

More information

NONLINEAR PROPAGATION OF WAVE PACKETS. Ritsumeikan University, and 22

NONLINEAR PROPAGATION OF WAVE PACKETS. Ritsumeikan University, and 22 NONLINEAR PROPAGATION OF WAVE PACKETS CLOTILDE FERMANIAN KAMMERER Ritsumeikan University, 21-1 - 21 and 22 Our aim in this lecture is to explain the proof of a recent Theorem obtained in collaboration

More information

A space-time Trefftz method for the second order wave equation

A space-time Trefftz method for the second order wave equation A space-time Trefftz method for the second order wave equation Lehel Banjai The Maxwell Institute for Mathematical Sciences Heriot-Watt University, Edinburgh Rome, 10th Apr 2017 Joint work with: Emmanuil

More information

Controllability of linear PDEs (I): The wave equation

Controllability of linear PDEs (I): The wave equation Controllability of linear PDEs (I): The wave equation M. González-Burgos IMUS, Universidad de Sevilla Doc Course, Course 2, Sevilla, 2018 Contents 1 Introduction. Statement of the problem 2 Distributed

More information

Propagation of Monokinetic Measures with Rough Momentum Profiles I

Propagation of Monokinetic Measures with Rough Momentum Profiles I with Rough Momentum Profiles I Ecole Polytechnique Centre de Mathématiques Laurent Schwartz Quantum Systems: A Mathematical Journey from Few to Many Particles May 16th 2013 CSCAMM, University of Maryland.

More information

The heat equation for the Hermite operator on the Heisenberg group

The heat equation for the Hermite operator on the Heisenberg group Hokkaido Mathematical Journal Vol. 34 (2005) p. 393 404 The heat equation for the Hermite operator on the Heisenberg group M. W. Wong (Received August 5, 2003) Abstract. We give a formula for the one-parameter

More information

Solutions of Math 53 Midterm Exam I

Solutions of Math 53 Midterm Exam I Solutions of Math 53 Midterm Exam I Problem 1: (1) [8 points] Draw a direction field for the given differential equation y 0 = t + y. (2) [8 points] Based on the direction field, determine the behavior

More information

The Density Matrix for the Ground State of 1-d Impenetrable Bosons in a Harmonic Trap

The Density Matrix for the Ground State of 1-d Impenetrable Bosons in a Harmonic Trap The Density Matrix for the Ground State of 1-d Impenetrable Bosons in a Harmonic Trap Institute of Fundamental Sciences Massey University New Zealand 29 August 2017 A. A. Kapaev Memorial Workshop Michigan

More information

Magnetic wells in dimension three

Magnetic wells in dimension three Magnetic wells in dimension three Yuri A. Kordyukov joint with Bernard Helffer & Nicolas Raymond & San Vũ Ngọc Magnetic Fields and Semiclassical Analysis Rennes, May 21, 2015 Yuri A. Kordyukov (Ufa) Magnetic

More information

Optimal and Approximate Control of Finite-Difference Approximation Schemes for the 1D Wave Equation

Optimal and Approximate Control of Finite-Difference Approximation Schemes for the 1D Wave Equation Optimal and Approximate Control of Finite-Difference Approximation Schemes for the 1D Wave Equation May 21, 2004 Enrique Zuazua 1 Departmento de Matemáticas Universidad Autónoma 28049 Madrid, Spain enrique.zuazua@uam.es

More information

Reproducing formulas associated with symbols

Reproducing formulas associated with symbols Reproducing formulas associated with symbols Filippo De Mari Ernesto De Vito Università di Genova, Italy Modern Methods of Time-Frequency Analysis II Workshop on Applied Coorbit space theory September

More information

Wave operators with non-lipschitz coefficients: energy and observability estimates

Wave operators with non-lipschitz coefficients: energy and observability estimates Wave operators with non-lipschitz coefficients: energy and observability estimates Institut de Mathématiques de Jussieu-Paris Rive Gauche UNIVERSITÉ PARIS DIDEROT PARIS 7 JOURNÉE JEUNES CONTRÔLEURS 2014

More information

Fundamentals of Unconstrained Optimization

Fundamentals of Unconstrained Optimization dalmau@cimat.mx Centro de Investigación en Matemáticas CIMAT A.C. Mexico Enero 2016 Outline Introduction 1 Introduction 2 3 4 Optimization Problem min f (x) x Ω where f (x) is a real-valued function The

More information

Control, Stabilization and Numerics for Partial Differential Equations

Control, Stabilization and Numerics for Partial Differential Equations Paris-Sud, Orsay, December 06 Control, Stabilization and Numerics for Partial Differential Equations Enrique Zuazua Universidad Autónoma 28049 Madrid, Spain enrique.zuazua@uam.es http://www.uam.es/enrique.zuazua

More information

x x2 2 + x3 3 x4 3. Use the divided-difference method to find a polynomial of least degree that fits the values shown: (b)

x x2 2 + x3 3 x4 3. Use the divided-difference method to find a polynomial of least degree that fits the values shown: (b) Numerical Methods - PROBLEMS. The Taylor series, about the origin, for log( + x) is x x2 2 + x3 3 x4 4 + Find an upper bound on the magnitude of the truncation error on the interval x.5 when log( + x)

More information

The Wave Equation: Control and Numerics

The Wave Equation: Control and Numerics The Wave Equation: Control and Numerics Sylvain Ervedoza and Enrique Zuazua Abstract In these Notes we make a self-contained presentation of the theory that has been developed recently for the numerical

More information

Hardy inequalities, heat kernels and wave propagation

Hardy inequalities, heat kernels and wave propagation Outline Hardy inequalities, heat kernels and wave propagation Basque Center for Applied Mathematics (BCAM) Bilbao, Basque Country, Spain zuazua@bcamath.org http://www.bcamath.org/zuazua/ Third Brazilian

More information

Asymptotic Behavior of a Hyperbolic-parabolic Coupled System Arising in Fluid-structure Interaction

Asymptotic Behavior of a Hyperbolic-parabolic Coupled System Arising in Fluid-structure Interaction International Series of Numerical Mathematics, Vol. 154, 445 455 c 2006 Birkhäuser Verlag Basel/Switzerland Asymptotic Behavior of a Hyperbolic-parabolic Coupled System Arising in Fluid-structure Interaction

More information

McGill University Department of Mathematics and Statistics. Ph.D. preliminary examination, PART A. PURE AND APPLIED MATHEMATICS Paper BETA

McGill University Department of Mathematics and Statistics. Ph.D. preliminary examination, PART A. PURE AND APPLIED MATHEMATICS Paper BETA McGill University Department of Mathematics and Statistics Ph.D. preliminary examination, PART A PURE AND APPLIED MATHEMATICS Paper BETA 17 August, 2018 1:00 p.m. - 5:00 p.m. INSTRUCTIONS: (i) This paper

More information

Application of wave packet transform to Schrödinger equations with a subquadratic potential

Application of wave packet transform to Schrödinger equations with a subquadratic potential Application of wave packet transform to Schrödinger equations with a subquadratic potential Keiichi Kato(Tokyo University of Science) January 21, 2012 1 Introduction In this talk, we consider the following

More information

conditional cdf, conditional pdf, total probability theorem?

conditional cdf, conditional pdf, total probability theorem? 6 Multiple Random Variables 6.0 INTRODUCTION scalar vs. random variable cdf, pdf transformation of a random variable conditional cdf, conditional pdf, total probability theorem expectation of a random

More information

Dispersive numerical schemes for Schrödinger equations

Dispersive numerical schemes for Schrödinger equations Dispersive numerical schemes for Schrödinger equations Enrique Zuazua joint work with L. Ignat & A. Marica zuazua@bcamath.org Basque Center for Applied Mathematics (BCAM), Bilbao, Basque Country, Spain

More information

p 1 ( Y p dp) 1/p ( X p dp) 1 1 p

p 1 ( Y p dp) 1/p ( X p dp) 1 1 p Doob s inequality Let X(t) be a right continuous submartingale with respect to F(t), t 1 P(sup s t X(s) λ) 1 λ {sup s t X(s) λ} X + (t)dp 2 For 1 < p

More information

PH.D. PRELIMINARY EXAMINATION MATHEMATICS

PH.D. PRELIMINARY EXAMINATION MATHEMATICS UNIVERSITY OF CALIFORNIA, BERKELEY SPRING SEMESTER 207 Dept. of Civil and Environmental Engineering Structural Engineering, Mechanics and Materials NAME PH.D. PRELIMINARY EXAMINATION MATHEMATICS Problem

More information

Switching, sparse and averaged control

Switching, sparse and averaged control Switching, sparse and averaged control Enrique Zuazua Ikerbasque & BCAM Basque Center for Applied Mathematics Bilbao - Basque Country- Spain zuazua@bcamath.org http://www.bcamath.org/zuazua/ WG-BCAM, February

More information

ASYMPTOTIC THEORY FOR WEAKLY NON-LINEAR WAVE EQUATIONS IN SEMI-INFINITE DOMAINS

ASYMPTOTIC THEORY FOR WEAKLY NON-LINEAR WAVE EQUATIONS IN SEMI-INFINITE DOMAINS Electronic Journal of Differential Equations, Vol. 004(004), No. 07, pp. 8. ISSN: 07-669. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp) ASYMPTOTIC

More information

Decay rates for partially dissipative hyperbolic systems

Decay rates for partially dissipative hyperbolic systems Outline Decay rates for partially dissipative hyperbolic systems Basque Center for Applied Mathematics Bilbao, Basque Country, Spain zuazua@bcamath.org http://www.bcamath.org/zuazua/ Numerical Methods

More information

Further Mathematical Methods (Linear Algebra)

Further Mathematical Methods (Linear Algebra) Further Mathematical Methods (Linear Algebra) Solutions For The 2 Examination Question (a) For a non-empty subset W of V to be a subspace of V we require that for all vectors x y W and all scalars α R:

More information

Spectrum and Exact Controllability of a Hybrid System of Elasticity.

Spectrum and Exact Controllability of a Hybrid System of Elasticity. Spectrum and Exact Controllability of a Hybrid System of Elasticity. D. Mercier, January 16, 28 Abstract We consider the exact controllability of a hybrid system consisting of an elastic beam, clamped

More information

HJB equations. Seminar in Stochastic Modelling in Economics and Finance January 10, 2011

HJB equations. Seminar in Stochastic Modelling in Economics and Finance January 10, 2011 Department of Probability and Mathematical Statistics Faculty of Mathematics and Physics, Charles University in Prague petrasek@karlin.mff.cuni.cz Seminar in Stochastic Modelling in Economics and Finance

More information

Numerical methods for a fractional diffusion/anti-diffusion equation

Numerical methods for a fractional diffusion/anti-diffusion equation Numerical methods for a fractional diffusion/anti-diffusion equation Afaf Bouharguane Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux 1, France Berlin, November 2012 Afaf Bouharguane Numerical

More information

NONLOCAL DIFFUSION EQUATIONS

NONLOCAL DIFFUSION EQUATIONS NONLOCAL DIFFUSION EQUATIONS JULIO D. ROSSI (ALICANTE, SPAIN AND BUENOS AIRES, ARGENTINA) jrossi@dm.uba.ar http://mate.dm.uba.ar/ jrossi 2011 Non-local diffusion. The function J. Let J : R N R, nonnegative,

More information

BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs

BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs Yuri A. Kuznetsov August, 2010 Contents 1. Solutions and orbits. 2. Equilibria. 3. Periodic orbits and limit cycles. 4. Homoclinic orbits.

More information

Discontinuous Galerkin methods for fractional diffusion problems

Discontinuous Galerkin methods for fractional diffusion problems Discontinuous Galerkin methods for fractional diffusion problems Bill McLean Kassem Mustapha School of Maths and Stats, University of NSW KFUPM, Dhahran Leipzig, 7 October, 2010 Outline Sub-diffusion Equation

More information

analysis for transport equations and applications

analysis for transport equations and applications Multi-scale analysis for transport equations and applications Mihaï BOSTAN, Aurélie FINOT University of Aix-Marseille, FRANCE mihai.bostan@univ-amu.fr Numerical methods for kinetic equations Strasbourg

More information

Regularity and approximations of generalized equations; applications in optimal control

Regularity and approximations of generalized equations; applications in optimal control SWM ORCOS Operations Research and Control Systems Regularity and approximations of generalized equations; applications in optimal control Vladimir M. Veliov (Based on joint works with A. Dontchev, M. Krastanov,

More information

Numerical Solutions to Partial Differential Equations

Numerical Solutions to Partial Differential Equations Numerical Solutions to Partial Differential Equations Zhiping Li LMAM and School of Mathematical Sciences Peking University The Implicit Schemes for the Model Problem The Crank-Nicolson scheme and θ-scheme

More information

Uniformly accurate averaging numerical schemes for oscillatory evolution equations

Uniformly accurate averaging numerical schemes for oscillatory evolution equations Uniformly accurate averaging numerical schemes for oscillatory evolution equations Philippe Chartier University of Rennes, INRIA Joint work with M. Lemou (University of Rennes-CNRS), F. Méhats (University

More information

New phenomena for the null controllability of parabolic systems: Minim

New phenomena for the null controllability of parabolic systems: Minim New phenomena for the null controllability of parabolic systems F.Ammar Khodja, M. González-Burgos & L. de Teresa Aix-Marseille Université, CNRS, Centrale Marseille, l2m, UMR 7373, Marseille, France assia.benabdallah@univ-amu.fr

More information

SINC PACK, and Separation of Variables

SINC PACK, and Separation of Variables SINC PACK, and Separation of Variables Frank Stenger Abstract This talk consists of a proof of part of Stenger s SINC-PACK computer package (an approx. 400-page tutorial + about 250 Matlab programs) that

More information

Hamilton-Jacobi theory on Lie algebroids: Applications to nonholonomic mechanics. Manuel de León Institute of Mathematical Sciences CSIC, Spain

Hamilton-Jacobi theory on Lie algebroids: Applications to nonholonomic mechanics. Manuel de León Institute of Mathematical Sciences CSIC, Spain Hamilton-Jacobi theory on Lie algebroids: Applications to nonholonomic mechanics Manuel de León Institute of Mathematical Sciences CSIC, Spain joint work with J.C. Marrero (University of La Laguna) D.

More information

Bohr Sommerfeld Quantization Condition Derived by a Microlocal WKB Method

Bohr Sommerfeld Quantization Condition Derived by a Microlocal WKB Method Vietnam Journal of Mathematics 32: SI (2004) 153 160 9LHWQDP -RXUQDO RI 0$7+(0$7,&6 9$67 Bohr Sommerfeld Quantization Condition Derived by a Microlocal WKB Method Setsuro Fujiié 1 and Maher Zerzeri 2 1

More information

Local null controllability of the N-dimensional Navier-Stokes system with N-1 scalar controls in an arbitrary control domain

Local null controllability of the N-dimensional Navier-Stokes system with N-1 scalar controls in an arbitrary control domain Local null controllability of the N-dimensional Navier-Stokes system with N-1 scalar controls in an arbitrary control domain Nicolás Carreño Université Pierre et Marie Curie-Paris 6 UMR 7598 Laboratoire

More information

Finite difference method for heat equation

Finite difference method for heat equation Finite difference method for heat equation Praveen. C praveen@math.tifrbng.res.in Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore 560065 http://math.tifrbng.res.in/~praveen

More information

Laplace s Equation. Chapter Mean Value Formulas

Laplace s Equation. Chapter Mean Value Formulas Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic

More information

A Survey of Computational High Frequency Wave Propagation II. Olof Runborg NADA, KTH

A Survey of Computational High Frequency Wave Propagation II. Olof Runborg NADA, KTH A Survey of Computational High Frequency Wave Propagation II Olof Runborg NADA, KTH High Frequency Wave Propagation CSCAMM, September 19-22, 2005 Numerical methods Direct methods Wave equation (time domain)

More information

Inégalités spectrales pour le contrôle des EDP linéaires : groupe de Schrödinger contre semigroupe de la chaleur.

Inégalités spectrales pour le contrôle des EDP linéaires : groupe de Schrödinger contre semigroupe de la chaleur. Inégalités spectrales pour le contrôle des EDP linéaires : groupe de Schrödinger contre semigroupe de la chaleur. Luc Miller Université Paris Ouest Nanterre La Défense, France Pde s, Dispersion, Scattering

More information

Evolution of semiclassical Wigner function (the higher dimensio

Evolution of semiclassical Wigner function (the higher dimensio Evolution of semiclassical Wigner function (the higher dimensional case) Workshop on Fast Computations in Phase Space, WPI-Vienna, November 2008 Dept. Appl. Math., Univ. Crete & IACM-FORTH 1 2 3 4 5 6

More information

The wave equation. Paris-Sud, Orsay, December 06

The wave equation. Paris-Sud, Orsay, December 06 Paris-Sud, Orsay, December 06 The wave equation Enrique Zuazua Universidad Autónoma 28049 Madrid, Spain enrique.zuazua@uam.es http://www.uam.es/enrique.zuazua Work in collaboration with: C. Castro, M.

More information

Finite Differences for Differential Equations 28 PART II. Finite Difference Methods for Differential Equations

Finite Differences for Differential Equations 28 PART II. Finite Difference Methods for Differential Equations Finite Differences for Differential Equations 28 PART II Finite Difference Methods for Differential Equations Finite Differences for Differential Equations 29 BOUNDARY VALUE PROBLEMS (I) Solving a TWO

More information

CUTOFF RESOLVENT ESTIMATES AND THE SEMILINEAR SCHRÖDINGER EQUATION

CUTOFF RESOLVENT ESTIMATES AND THE SEMILINEAR SCHRÖDINGER EQUATION CUTOFF RESOLVENT ESTIMATES AND THE SEMILINEAR SCHRÖDINGER EQUATION HANS CHRISTIANSON Abstract. This paper shows how abstract resolvent estimates imply local smoothing for solutions to the Schrödinger equation.

More information

The PML Method: Continuous and Semidiscrete Waves.

The PML Method: Continuous and Semidiscrete Waves. Intro Continuous Model. Finite difference. Remedies. The PML Method: Continuous and Semidiscrete Waves. 1 Enrique Zuazua 2 1 Laboratoire de Mathématiques de Versailles. 2 Universidad Autónoma, Madrid.

More information

The first order quasi-linear PDEs

The first order quasi-linear PDEs Chapter 2 The first order quasi-linear PDEs The first order quasi-linear PDEs have the following general form: F (x, u, Du) = 0, (2.1) where x = (x 1, x 2,, x 3 ) R n, u = u(x), Du is the gradient of u.

More information

Differential equations, comprehensive exam topics and sample questions

Differential equations, comprehensive exam topics and sample questions Differential equations, comprehensive exam topics and sample questions Topics covered ODE s: Chapters -5, 7, from Elementary Differential Equations by Edwards and Penney, 6th edition.. Exact solutions

More information

Eigenvalues and eigenfunctions of the Laplacian. Andrew Hassell

Eigenvalues and eigenfunctions of the Laplacian. Andrew Hassell Eigenvalues and eigenfunctions of the Laplacian Andrew Hassell 1 2 The setting In this talk I will consider the Laplace operator,, on various geometric spaces M. Here, M will be either a bounded Euclidean

More information

Good reasons to study Euler equation.

Good reasons to study Euler equation. Good reasons to study Euler equation. Applications often correspond to very large Reynolds number =ratio between the strenght of the non linear effects and the strenght of the linear viscous effects. R

More information

Deterministic Dynamic Programming

Deterministic Dynamic Programming Deterministic Dynamic Programming 1 Value Function Consider the following optimal control problem in Mayer s form: V (t 0, x 0 ) = inf u U J(t 1, x(t 1 )) (1) subject to ẋ(t) = f(t, x(t), u(t)), x(t 0

More information

Semiclassical computational methods for quantum dynamics with bandcrossings. Shi Jin University of Wisconsin-Madison

Semiclassical computational methods for quantum dynamics with bandcrossings. Shi Jin University of Wisconsin-Madison Semiclassical computational methods for quantum dynamics with bandcrossings and uncertainty Shi Jin University of Wisconsin-Madison collaborators Nicolas Crouseilles, Rennes Mohammed Lemou, Rennes Liu

More information

EDP with strong anisotropy : transport, heat, waves equations

EDP with strong anisotropy : transport, heat, waves equations EDP with strong anisotropy : transport, heat, waves equations Mihaï BOSTAN University of Aix-Marseille, FRANCE mihai.bostan@univ-amu.fr Nachos team INRIA Sophia Antipolis, 3/07/2017 Main goals Effective

More information

Model Specification Testing in Nonparametric and Semiparametric Time Series Econometrics. Jiti Gao

Model Specification Testing in Nonparametric and Semiparametric Time Series Econometrics. Jiti Gao Model Specification Testing in Nonparametric and Semiparametric Time Series Econometrics Jiti Gao Department of Statistics School of Mathematics and Statistics The University of Western Australia Crawley

More information

Applications of the periodic unfolding method to multi-scale problems

Applications of the periodic unfolding method to multi-scale problems Applications of the periodic unfolding method to multi-scale problems Doina Cioranescu Université Paris VI Santiago de Compostela December 14, 2009 Periodic unfolding method and multi-scale problems 1/56

More information

Nonlinear stabilization via a linear observability

Nonlinear stabilization via a linear observability via a linear observability Kaïs Ammari Department of Mathematics University of Monastir Joint work with Fathia Alabau-Boussouira Collocated feedback stabilization Outline 1 Introduction and main result

More information

Applied and Computational Harmonic Analysis

Applied and Computational Harmonic Analysis Appl. Comput. Harmon. Anal. 8 010) 313 319 Contents lists available at ScienceDirect Applied and Computational Harmonic Analysis www.elsevier.com/locate/acha Smoothed affine Wigner transform A. Athanassoulis

More information

Discretization of SDEs: Euler Methods and Beyond

Discretization of SDEs: Euler Methods and Beyond Discretization of SDEs: Euler Methods and Beyond 09-26-2006 / PRisMa 2006 Workshop Outline Introduction 1 Introduction Motivation Stochastic Differential Equations 2 The Time Discretization of SDEs Monte-Carlo

More information

Some lecture notes for Math 6050E: PDEs, Fall 2016

Some lecture notes for Math 6050E: PDEs, Fall 2016 Some lecture notes for Math 65E: PDEs, Fall 216 Tianling Jin December 1, 216 1 Variational methods We discuss an example of the use of variational methods in obtaining existence of solutions. Theorem 1.1.

More information

Chapter Two: Numerical Methods for Elliptic PDEs. 1 Finite Difference Methods for Elliptic PDEs

Chapter Two: Numerical Methods for Elliptic PDEs. 1 Finite Difference Methods for Elliptic PDEs Chapter Two: Numerical Methods for Elliptic PDEs Finite Difference Methods for Elliptic PDEs.. Finite difference scheme. We consider a simple example u := subject to Dirichlet boundary conditions ( ) u

More information

An introduction to Birkhoff normal form

An introduction to Birkhoff normal form An introduction to Birkhoff normal form Dario Bambusi Dipartimento di Matematica, Universitá di Milano via Saldini 50, 0133 Milano (Italy) 19.11.14 1 Introduction The aim of this note is to present an

More information

Chemistry 532 Practice Final Exam Fall 2012 Solutions

Chemistry 532 Practice Final Exam Fall 2012 Solutions Chemistry 53 Practice Final Exam Fall Solutions x e ax dx π a 3/ ; π sin 3 xdx 4 3 π cos nx dx π; sin θ cos θ + K x n e ax dx n! a n+ ; r r r r ˆL h r ˆL z h i φ ˆL x i hsin φ + cot θ cos φ θ φ ) ˆLy i

More information

Numerical Analysis Comprehensive Exam Questions

Numerical Analysis Comprehensive Exam Questions Numerical Analysis Comprehensive Exam Questions 1. Let f(x) = (x α) m g(x) where m is an integer and g(x) C (R), g(α). Write down the Newton s method for finding the root α of f(x), and study the order

More information

8 Singular Integral Operators and L p -Regularity Theory

8 Singular Integral Operators and L p -Regularity Theory 8 Singular Integral Operators and L p -Regularity Theory 8. Motivation See hand-written notes! 8.2 Mikhlin Multiplier Theorem Recall that the Fourier transformation F and the inverse Fourier transformation

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

Recent result on porous medium equations with nonlocal pressure

Recent result on porous medium equations with nonlocal pressure Recent result on porous medium equations with nonlocal pressure Diana Stan Basque Center of Applied Mathematics joint work with Félix del Teso and Juan Luis Vázquez November 2016 4 th workshop on Fractional

More information

Introduction to multiscale modeling and simulation. Explicit methods for ODEs : forward Euler. y n+1 = y n + tf(y n ) dy dt = f(y), y(0) = y 0

Introduction to multiscale modeling and simulation. Explicit methods for ODEs : forward Euler. y n+1 = y n + tf(y n ) dy dt = f(y), y(0) = y 0 Introduction to multiscale modeling and simulation Lecture 5 Numerical methods for ODEs, SDEs and PDEs The need for multiscale methods Two generic frameworks for multiscale computation Explicit methods

More information

A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE. 1.

A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE. 1. A LOWER BOUND ON BLOWUP RATES FOR THE 3D INCOMPRESSIBLE EULER EQUATION AND A SINGLE EXPONENTIAL BEALE-KATO-MAJDA ESTIMATE THOMAS CHEN AND NATAŠA PAVLOVIĆ Abstract. We prove a Beale-Kato-Majda criterion

More information

TRANSPORT IN POROUS MEDIA

TRANSPORT IN POROUS MEDIA 1 TRANSPORT IN POROUS MEDIA G. ALLAIRE CMAP, Ecole Polytechnique 1. Introduction 2. Main result in an unbounded domain 3. Asymptotic expansions with drift 4. Two-scale convergence with drift 5. The case

More information

Photo-Acoustic imaging in layered media

Photo-Acoustic imaging in layered media Photo-Acoustic imaging in layered media Faouzi TRIKI Université Grenoble-Alpes, France (joint works with Kui Ren, Texas at Austin, USA.) 4 juillet 2016 Photo-Acoustic effect Photo-Acoustic effect (Bell,

More information

From the N-body problem to the cubic NLS equation

From the N-body problem to the cubic NLS equation From the N-body problem to the cubic NLS equation François Golse Université Paris 7 & Laboratoire J.-L. Lions golse@math.jussieu.fr Los Alamos CNLS, January 26th, 2005 Formal derivation by N.N. Bogolyubov

More information

Hyperbolic inverse problems and exact controllability

Hyperbolic inverse problems and exact controllability Hyperbolic inverse problems and exact controllability Lauri Oksanen University College London An inverse initial source problem Let M R n be a compact domain with smooth strictly convex boundary, and let

More information

Averaged control and observation of parameter-depending wave equations

Averaged control and observation of parameter-depending wave equations Averaged control and observation of parameter-depending wave equations Martin Lazar a, Enrique Zuazua b,c a University of Dubrovnik, Department of Electrical Engineering and Computing, Ćira Carića 4, 2

More information

CONTROLLABILITY OF FAST DIFFUSION COUPLED PARABOLIC SYSTEMS

CONTROLLABILITY OF FAST DIFFUSION COUPLED PARABOLIC SYSTEMS CONTROLLABILITY OF FAST DIFFUSION COUPLED PARABOLIC SYSTEMS FELIPE WALLISON CHAVES-SILVA, SERGIO GUERRERO, AND JEAN PIERRE PUEL Abstract. In this work we are concerned with the null controllability of

More information

HOW TO APPROXIMATE THE HEAT EQUATION WITH NEUMANN BOUNDARY CONDITIONS BY NONLOCAL DIFFUSION PROBLEMS. 1. Introduction

HOW TO APPROXIMATE THE HEAT EQUATION WITH NEUMANN BOUNDARY CONDITIONS BY NONLOCAL DIFFUSION PROBLEMS. 1. Introduction HOW TO APPROXIMATE THE HEAT EQUATION WITH NEUMANN BOUNDARY CONDITIONS BY NONLOCAL DIFFUSION PROBLEMS CARMEN CORTAZAR, MANUEL ELGUETA, ULIO D. ROSSI, AND NOEMI WOLANSKI Abstract. We present a model for

More information

Global Carleman inequalities and theoretical and numerical control results for systems governed by PDEs

Global Carleman inequalities and theoretical and numerical control results for systems governed by PDEs Global Carleman inequalities and theoretical and numerical control results for systems governed by PDEs Enrique FERNÁNDEZ-CARA Dpto. E.D.A.N. - Univ. of Sevilla joint work with A. MÜNCH Lab. Mathématiques,

More information

Integro-differential equations: Regularity theory and Pohozaev identities

Integro-differential equations: Regularity theory and Pohozaev identities Integro-differential equations: Regularity theory and Pohozaev identities Xavier Ros Oton Departament Matemàtica Aplicada I, Universitat Politècnica de Catalunya PhD Thesis Advisor: Xavier Cabré Xavier

More information