TRANSPORT IN POROUS MEDIA

Size: px
Start display at page:

Download "TRANSPORT IN POROUS MEDIA"

Transcription

1 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 of bounded domains Ecole CEA-EDF-INRIA, Décembre 20

2 2 -I- INTRODUCTION Based on a joint work with A. Mikelic and A. Piatnitski. Infinite porous medium: (connected) fluid part Ω f, solid part Ω s = R n \ Ω f. Saturated incompressible single phase flow in Ω f and a single solute. The unknown is the concentration u in the fluid. convection diffusion in the fluid: u τ + b yu div y (D y u) = 0 in Ω f (0, T ), Given incompressible and steady-state velocity: div b = 0 in Ω f no-flux boundary condition on the pore boundaries: b n = 0 and D y u n = 0 on Ω f (0, T ),

3 3 Scaling We want to upscale this model, so we define a large macroscopic scale ǫ 1 and we choose a long time scale of order ǫ 2 (parabolic or diffusion scaling) x = ǫy and t = ǫ 2 τ. We define u ǫ (t, x) = u(τ, y) which is a solution of u ǫ t + 1 ǫ b ǫ x u ǫ div x (D ǫ x u ǫ ) = 0 in Ω ǫ (0, T) with T = ǫ 2 T. u ǫ (x, 0) = u 0 (x), x Ω ǫ, D ǫ x u ǫ n = 0 on Ω ǫ (0, T)

4 4 Periodicity assumption ε Ω Periodic unit cell Y = (0, 1) n = Y O with fluid part Y Periodic (infinite) porous media x Ω ǫ y Y ( x ) Stationary incompressible periodic flow b ǫ (x) = b ǫ Y and b n = 0 on O ( x ) Periodic symmetric coercive diffusion D ǫ (x) = D ǫ with div y b = 0 in

5 5 Another approach to scaling: dimensional analysis We write the same equations with dimensional constants denoted by * : c t + b x c div x (D x c ) = 0 in Ω f (0, T ), D x c n = 0 on Ω f (0, T ),

6 6 Dimensional analysis (ctd.) We adimensionalize the equations as follows: Characteristic lengthscale L R and timescale T R. Period l << L R : we introduce a small parameter ǫ = l L R. Characteristic velocity b R. Characteristic concentration c R. Characteristic diffusivity D R. New adimensionalized variables and functions: x = x, t = t, b ǫ (x, t) = b (x, t ), D = D, u ǫ = c L R T R b R D R c R

7 7 Dimensional analysis (ctd.) Dimensionless equation u ǫ t + b RT R b ǫ x u ǫ D RT R L R L 2 div x (D x u ǫ ) = 0 in Ω ǫ (0, T) R and D x u ǫ n = 0 on Ω ǫ (0, T). We choose a diffusion timescale, i.e., we assume T R = L2 R D R. Péclet number: Pe = L Rb R D R. We assume Pe = ǫ 1. u ǫ t + Pe b ǫ x u ǫ div x (D x u ǫ ) = 0 in Ω ǫ (0, T)

8 8 Microscopic model u ǫ t + 1 ǫ b ǫ x u ǫ div x (D ǫ x u ǫ ) = 0 in Ω ǫ (0, T) u ǫ (x, 0) = u 0 (x), x Ω ǫ, D ǫ x u ǫ n = 0 on Ω ǫ (0, T) Assumptions: Stationary incompressible periodic flow div y b = 0 in Y, b n = 0 on O Periodic symmetric coercive diffusion D Goal of homogenization: find the effective diffusion tensor.

9 9 -II- MAIN RESULT Theorem. The solution u ǫ satisfies u ǫ (t, x) u (t, x b ǫ ) t with the effective drift b = 1 Y b(y) dy Y and u the solution of the homogenized problem u t div (A u) = 0 in R n (0, T) u(t = 0, x) = u 0 (x) in R n

10 10 Precise convergence u ǫ (t, x) = u (t, x b ǫ ) t + r ǫ (t, x) with T lim ǫ 0 0 R n r ǫ (t, x) 2 dt dx = 0,

11 11 Homogenized diffusion tensor A ij = D(e i + y χ i ) (e j + y χ j )dy Y where χ i (y), 1 i n, are solutions of the cell problems b(y) y χ i div y (D(y) ( y χ i + e i )) = (b b(y)) e i D(y) ( y χ i + e i ) n = 0 on O y χ i (y) Y -periodic in Y Remark that the value of b is exactly the compatibility condition for the existence of χ i.

12 12 Define ũ ǫ (t, x) = u Equivalent homogenized equation (t, x b ǫ t ). Then, it is solution of ũ ǫ t + 1 ǫ b ũ ǫ div (A ũ ǫ ) = 0 in R n (0, T) ũ ǫ (t = 0, x) = u 0 (x) in R n

13 13 -III- TWO-SCALE ANSATZ WITH DRIFT To motivate our result, let us start with a formal process. Standard two-scale asymptotic expansions should be modified to introduce an unknown large drift b R n u ǫ (t, x) = + i=0 ( ǫ i u i t, x b t ǫ, x ), ǫ with u i (t, x, y) a function of the macroscopic variable x and of the periodic microscopic variable y Y = (0, 1) n.

14 14 We plug these ansatz in the system of equations and use the usual chain rule derivation ( (u i t, x b t ǫ, x )) = ( ) ( ǫ 1 y u i + x u i t, x b t ǫ ǫ, x ), ǫ plus a new contribution t ( (u i t, x b t ǫ, x )) ǫ = u i t ǫ 1 b x u }{{} i ( t, x, x ǫ new term )

15 15 Fredholm alternative in the unit cell Lemma. The boundary value problem b(y) y χ div y (D(y) y χ) = f D(y) y χ n + g = 0 on O y χ(y) Y -periodic in Y admits a unique solution χ H 1 (Y )/R (up to an additive constant), if and only if f(y) dy + g(y) ds = 0. Y O

16 16 Variational formulation of the cell problem b(y) y χ(y)φ(y) dy + D y χ(y) y φ(y) dy = Y Y f(y)φ(y) dy + g(y)φ(y) ds Y O for any test function φ H 1 (Y ). Coercive bilinear form on the orthogonal subspace to its kernel R.

17 17 Cascade of equations Equation of order ǫ 2 : b(y) y u 0 div y (D(y) y u 0 ) = 0 in Y D(y) y u 0 n = 0 on O y u 0 (t, x, y) Y -periodic We deduce u 0 (t, x, y) u(t, x)

18 18 Equation of order ǫ 1 : b x u 0 + b(y) ( x u 0 + y u 1 ) div y (D(y) ( x u 0 + y u 1 )) = 0 in Y D ( x u 0 + y u 1 ) n = 0 on O y u 1 (t, x, y) Y -periodic We deduce u 1 (t, x, y) = n i=1 u 0 x i (t, x)χ i (y)

19 19 Cell problem b(y) y χ i div y (D(y) ( y χ i + e i )) = (b b(y)) e i in Y D(y) ( y χ i + e i ) n = 0 on O y χ i (y) Y -periodic The compatibility condition (Fredholm alternative) for the existence of χ i is b = 1 Y b(y) dy Y

20 20 Equation of order ǫ 0 : u t b x u 1 + b ( x u 1 + y u 2 ) div y (D ( x u 1 + y u 2 )) div x (D( y u 1 + x u)) = 0 in Y D ( x u 1 + y u 2 ) n = 0 on O y u 2 (t, x, y) Y -periodic Compatibility condition for the existence of u 2 homogenized problem. (Recall that u 1 is linear in x u.) u t div (A u) = 0 in R n (0, T) u(t = 0, x) = u 0 (x) in R n,

21 21 -IV- RIGOROUS PROOF The proof is made of 3 steps 1. A priori estimates. 2. Passing to the limit by two-scale convergence with drift. 3. Strong convergence.

22 22 A priori estimates Assume u 0 L 2 (R n ). For any final time T > 0, there exists a constant C > 0 that does not depend on ǫ such that u ǫ L (0,T;L 2 (Ω ǫ )) + u ǫ L 2 ((0,T) Ω ǫ ) C Proof. Multiply the fluid equation by u ǫ and integrate by parts to get the usual parabolic estimates.

23 23 Usual two-scale convergence Proposition. Let w ǫ be a bounded sequence in L 2 (R n ). Up to a subsequence, there exist a limit w(x, y) L 2 (R n T n ) such that w ǫ two-scale converges to w in the sense that ( lim w ǫ (x)φ x, x ) dx = ǫ 0 R ǫ n for all functions φ(x, y) L 2 (R n ; C(T n )). R n T n w(x, y)φ(x, y) dxdy

24 24 Two-scale convergence with drift Proposition (Marusic-Paloka, Piatnitski). Let V R N be a given drift velocity. Let w ǫ be a bounded sequence in L 2 ((0, T) R n ). Up to a subsequence, there exist a limit w 0 (t, x, y) L 2 ((0, T) R n T n ) such that w ǫ two-scale converges with drift weakly to w 0 in the sense that T ( lim w ǫ (t, x)φ t, x + V ǫ 0 0 R ǫ t, x ) dt dx = ǫ n T w 0 (t, x, y)φ(t, x, y) dt dxdy 0 R n T n for all functions φ(t, x, y) L 2 ((0, T) R n ; C(T n )).

25 25 Lemma. Let φ(t, x, y) L 2 ( (0, T) T N ; C c (R N ) ). Then T lim ǫ 0 0 R N (t, φ x + V ( x ) ) 2 ǫ t, dt dx = ǫ T 0 R N T N φ(t, x, y) 2 dt dxdy. Proof. Change of variables x = x + V ǫ t T 0 R N (t, φ x + V ( x ǫ t, ǫ ) ) 2 dt dx = T 0 R N ( φ t, x, x ǫ V ) 2 ǫ 2 t dt dx We mesh R N with cubes of size ǫ, R N = i Z Yi ǫ with Yi ǫ = x ǫ i R N ( φ t, x, x = i Z ǫ V ) 2 ǫ 2 t dx = i Y ǫ i ǫ N T N φ (x ǫ i, y) 2 dy + o(1) = + (0, ǫ)n ( φ t, x ǫ i, x ǫ V ) 2 ǫ 2 t dx + o(1) Ω Y φ (x, y) 2 dxdy + o(1)

26 26 Passing to the limit We multiply the equation by an oscillating test function with drift V = b Ψ ǫ = φ (t, x + Vǫ ) ( t + ǫ φ 1 t, x + V ǫ t, x ) ǫ and we use the two-scale convergence with drift to get the homogenized equation.

27 27 STRONG CONVERGENCE We use the notion of strong two-scale convergence with drift. Proposition. If w ǫ (t, x) two-scale converges with drift weakly to w 0 (t, x, y) (assumed to be smooth enough) and lim w ǫ L2 ((0,T) R ǫ 0 n ) = w 0 L2 ((0,T) R n T n ), then it converges strongly in the sense that w ǫ(t, x) w 0 (t, x b ǫ t, x ) ǫ lim ǫ 0 L 2 ((0,T) R n ) = 0

28 28 -V- NUMERICAL RESULTS Numerical computations done with FreeFem++ in 2-d for circular obstacles. The velocity b(y) is generated by solving the following filtration problem in the fluid part Y of the unit cell Y y p y b = e i in Y ; div y b = 0 in Y ; b = 0 p, b are Y periodic. on O;

29 29

30 Log-log plot of the longitudinal dispersion A 11 as a function of the local Péclet s number (asymptotic slope 1.7).

31 31 -VI- THE CASE OF BOUNDED DOMAINS Consider now a bounded domain Ω with a Dirichlet boundary condition on Ω. To study the long time behavior we consider the eigenvalue problem 1 ( x ) ( x ) ǫ b u ǫ div(d u ǫ ) = λ ǫ u ǫ in Ω ǫ ǫ ǫ u ǫ = 0 on Ω Ω ǫ, ( x ) D u ǫ n = 0 on Ω ǫ \ Ω ǫ where λ ǫ and u ǫ are the first eigenvalue and eigenfunction (which exists by the Krein-Rutman theorem). Assumptions: Stationary incompressible periodic flow div y b = 0 in Y, b n = 0 on O Periodic symmetric coercive diffusion D

32 Typical expected behavior of the first eigenfunction: because of the large drift it behaves like a boundary layer.

33 33 Following Bensoussan-Lions-Papanicolaou and Capdeboscq, for θ R N, we introduce the spectral cell problem div y (D(y) y ψ θ ) + b(y) y ψ θ = λ(θ)ψ θ in Y D(y) y ψ θ n = 0 on O y ψ θ (y)e θ y Y -periodic where λ(θ) and ψ θ are the first eigenvalue and eigenfunction. We also introduce the adjoint spectral cell problem div y (D(y) y ψθ) div y (b(y)ψθ) = λ(θ)ψθ D(y) y ψθ n = 0 on O y ψθ (y)e+θ y Y -periodic in Y The first eigenfunctions ψ θ and ψθ can be chosen positive and normalized by ψ θ (y)e θ y 2 dy = 1 and ψ θ (y)ψθ(y) dy = 1 T N T N

34 34 Lemma. The function θ λ(θ) is strictly concave from R N into R and admits a maximum λ which is obtained for a unique θ = θ. Denoting ψ = ψ θ and ψ = ψ θ, the vector field b(y) = ψ ψ b(y) + ψ D y ψ (y) ψ D y ψ (y) satisfies div y b = 0 in T N, T N b(y) dy = 0.

35 35 Change of unknown Define a new unknown function ũ ǫ (x) = u ǫ(x) ( ψ x ) ǫ ( and multiply the equation by ψ x ) ǫ. We obtain 1 x ) ũ ǫ div( ǫ b( ǫ D ( x ) ( x ) ũ ǫ ) = µ ǫ (ψ ψ ǫ ) ǫ ũ ǫ = 0 on Ω Ω ǫ, ( x ) D ũ ǫ n = 0 on Ω ǫ \ Ω ǫ ũ ǫ in Ω ǫ with D(y) = ψ (y)ψ (y)d(y) and µ ǫ = λ ǫ λ(θ ) ǫ 2

36 36 Homogenization Theorem 1. Since the new velocity b is divergence-free and has zero average, classical periodic homogenization can be applied lim µ ǫ = µ, ǫ 0 ũ ǫ ũ weakly in H 1 0(Ω) where (µ, ũ) is the first eigencouple of div( D ũ) = µũ ũ = 0 on Ω in Ω with D the usual homogenized matrix for D.

37 37 Conclusion Theorem 2. The asymptotic behavior of the first eigencouple of the original problem is λ ǫ = λ(θ ( ) ǫ 2 + µ + o(1), u ǫ (x) e + θ x x ) ǫ φ ũ(x) ǫ where φ (y) = ψ θ (y)e θ y is a Y -periodic function. Remark. The direction of concentration θ is different from the drift b = Y b(y) dy!

38 38 (a) t=0 (b) t=0. (c) t=0.02 (d) t=0.03 (e) t=0.04 (f) t=0.05 Isovalues of u ǫ for various t in the parabolic case (computations by I. Pankratova)

39 39 (g) t=0 (h) t=0.1 (i) t=0.2 (j) t=0.3 (k) t=0.4 (l) t=0.5 Rescaled isovalues of u ǫ for larger times t in the parabolic case (computations by I. Pankratova)

CONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence

CONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence 1 CONVERGENCE THEOR G. ALLAIRE CMAP, Ecole Polytechnique 1. Maximum principle 2. Oscillating test function 3. Two-scale convergence 4. Application to homogenization 5. General theory H-convergence) 6.

More information

Periodic homogenization and effective mass theorems for the Schrödinger equation

Periodic homogenization and effective mass theorems for the Schrödinger equation Periodic homogenization and effective mass theorems for the Schrödinger equation Grégoire Allaire September 5, 2006 Abstract The goal of this course is to give an introduction to periodic homogenization

More information

HOMOGENIZATION OF A CONVECTIVE, CONDUCTIVE AND RADIATIVE HEAT TRANSFER PROBLEM

HOMOGENIZATION OF A CONVECTIVE, CONDUCTIVE AND RADIATIVE HEAT TRANSFER PROBLEM Homogenization of a heat transfer problem 1 G. Allaire HOMOGENIZATION OF A CONVECTIVE, CONDUCTIVE AND RADIATIVE HEAT TRANSFER PROBLEM Work partially supported by CEA Grégoire ALLAIRE, Ecole Polytechnique

More information

Homogenization of reactive flows in porous media

Homogenization of reactive flows in porous media Homogenization of reactive flows in porous media HUTRIDURGA RAMAIAH Harsha Abstract In this article we study reactive flows through porous media. We use the method of two-scale asymptotic expansions with

More information

A BRIEF INTRODUCTION TO HOMOGENIZATION AND MISCELLANEOUS APPLICATIONS

A BRIEF INTRODUCTION TO HOMOGENIZATION AND MISCELLANEOUS APPLICATIONS ESAIM: PROCEEDINGS, September 22, Vol. 37, p. 1-49 E. Cancès and S. Labbé, Editors A BRIEF INTRODUCTION TO HOMOGENIZATION AND MISCELLANEOUS APPLICATIONS Grégoire Allaire 1 Abstract. This paper is a set

More information

HOMOGENIZATION OF ELECTROKINETIC FLOWS IN POROUS MEDIA: THE ROLE OF NON-IDEALITY.

HOMOGENIZATION OF ELECTROKINETIC FLOWS IN POROUS MEDIA: THE ROLE OF NON-IDEALITY. Ion transport in porous media 1 G. Allaire HOMOGENIZATION OF ELECTROKINETIC FLOWS IN POROUS MEDIA: THE ROLE OF NON-IDEALITY. Grégoire ALLAIRE, Robert BRIZZI, CMAP, Ecole Polytechnique Jean-François DUFRECHE,

More information

TWO-SCALE CONVERGENCE ON PERIODIC SURFACES AND APPLICATIONS

TWO-SCALE CONVERGENCE ON PERIODIC SURFACES AND APPLICATIONS TWO-SCALE CONVERGENCE ON PERIODIC SURFACES AND APPLICATIONS Grégoire ALLAIRE Commissariat à l Energie Atomique DRN/DMT/SERMA, C.E. Saclay 91191 Gif sur Yvette, France Laboratoire d Analyse Numérique, Université

More information

Homogenization of micro-resonances and localization of waves.

Homogenization of micro-resonances and localization of waves. Homogenization of micro-resonances and localization of waves. Valery Smyshlyaev University College London, UK July 13, 2012 (joint work with Ilia Kamotski UCL, and Shane Cooper Bath/ Cardiff) Valery Smyshlyaev

More information

LINEAR FLOW IN POROUS MEDIA WITH DOUBLE PERIODICITY

LINEAR FLOW IN POROUS MEDIA WITH DOUBLE PERIODICITY PORTUGALIAE MATHEMATICA Vol. 56 Fasc. 2 1999 LINEAR FLOW IN POROUS MEDIA WITH DOUBLE PERIODICITY R. Bunoiu and J. Saint Jean Paulin Abstract: We study the classical steady Stokes equations with homogeneous

More information

THE STOKES SYSTEM R.E. SHOWALTER

THE STOKES SYSTEM R.E. SHOWALTER THE STOKES SYSTEM R.E. SHOWALTER Contents 1. Stokes System 1 Stokes System 2 2. The Weak Solution of the Stokes System 3 3. The Strong Solution 4 4. The Normal Trace 6 5. The Mixed Problem 7 6. The Navier-Stokes

More information

Introduction to Aspects of Multiscale Modeling as Applied to Porous Media

Introduction to Aspects of Multiscale Modeling as Applied to Porous Media Introduction to Aspects of Multiscale Modeling as Applied to Porous Media Part III Todd Arbogast Department of Mathematics and Center for Subsurface Modeling, Institute for Computational Engineering and

More information

Homogenization of reactive flows in porous media and competition between bulk and surface diffusion

Homogenization of reactive flows in porous media and competition between bulk and surface diffusion Homogenization of reactive flows in porous media and competition between bulk and surface diffusion G. Allaire, H. Hutridurga Abstract In this work, we study the convection and diffusion of a solute in

More information

TWO-SCALE ASYMPTOTIC EXPANSION : BLOCH-FLOQUET THEORY IN PERIODIC STRUCTURES

TWO-SCALE ASYMPTOTIC EXPANSION : BLOCH-FLOQUET THEORY IN PERIODIC STRUCTURES TWO-SCALE ASYMPTOTIC EXPANSION : BLOCH-FLOQUET THEORY IN PERIODIC STRUCTURES JACK ARBUNICH 1. Setting of Periodic Structures Our aim is to study an application of Bloch-Floquet Theory in the multiscale

More information

Colloids transport in porous media: analysis and applications.

Colloids transport in porous media: analysis and applications. Colloids transport in porous media: analysis and applications. Oleh Krehel joint work with Adrian Muntean and Peter Knabner CASA, Department of Mathematics and Computer Science. Eindhoven University of

More information

Continuous dependence estimates for the ergodic problem with an application to homogenization

Continuous dependence estimates for the ergodic problem with an application to homogenization Continuous dependence estimates for the ergodic problem with an application to homogenization Claudio Marchi Bayreuth, September 12 th, 2013 C. Marchi (Università di Padova) Continuous dependence Bayreuth,

More information

Lecture Notes on PDEs

Lecture Notes on PDEs Lecture Notes on PDEs Alberto Bressan February 26, 2012 1 Elliptic equations Let IR n be a bounded open set Given measurable functions a ij, b i, c : IR, consider the linear, second order differential

More information

HT HT HOMOGENIZATION OF A CONDUCTIVE AND RADIATIVE HEAT TRANSFER PROBLEM, SIMULATION WITH CAST3M

HT HT HOMOGENIZATION OF A CONDUCTIVE AND RADIATIVE HEAT TRANSFER PROBLEM, SIMULATION WITH CAST3M Proceedings of HT2005 2005 ASME Summer Heat Transfer Conference July 17-22, 2005, San Francisco, California, USA HT2005-72193 HT2005-72193 HOMOGENIZATION OF A CONDUCTIVE AND RADIATIVE HEAT TRANSFER PROBLEM,

More information

ECOLE POLYTECHNIQUE. Two Asymptotic Models for Arrays of Underground Waste Containers CENTRE DE MATHÉMATIQUES APPLIQUÉES UMR CNRS 7641

ECOLE POLYTECHNIQUE. Two Asymptotic Models for Arrays of Underground Waste Containers CENTRE DE MATHÉMATIQUES APPLIQUÉES UMR CNRS 7641 ECOLE POLYTECHNIQUE CENTRE DE MATHÉMATIQUES APPLIQUÉES UMR CNRS 764 928 PALAISEAU CEDEX FRANCE. Tél: 69 33 46. Fax: 69 33 46 46 http://www.cmap.polytechnique.fr/ Two Asymptotic Models for Arrays of Underground

More information

Free energy estimates for the two-dimensional Keller-Segel model

Free energy estimates for the two-dimensional Keller-Segel model Free energy estimates for the two-dimensional Keller-Segel model dolbeaul@ceremade.dauphine.fr CEREMADE CNRS & Université Paris-Dauphine in collaboration with A. Blanchet (CERMICS, ENPC & Ceremade) & B.

More information

Durham Research Online

Durham Research Online Durham Research Online Deposited in DRO: 23 April 2018 Version of attached le: Accepted Version Peer-review status of attached le: Peer-reviewed Citation for published item: Cooper, S. (2018 'Quasi-periodic

More information

Homogenization of a Conductive, Convective and Radiative Heat Transfer Problem in a Heterogeneous Domain

Homogenization of a Conductive, Convective and Radiative Heat Transfer Problem in a Heterogeneous Domain Homogenization of a Conductive, Convective and Radiative Heat Transfer Problem in a Heterogeneous Domain Grégoire Allaire, Zakaria Habibi To cite this version: Grégoire Allaire, Zakaria Habibi. Homogenization

More information

Homogenization of the Schrodinger equation with a time oscillating potential

Homogenization of the Schrodinger equation with a time oscillating potential Homogenization of the Schrodinger equation with a time oscillating potential Grégoire Allaire, M. Vanninathan To cite this version: Grégoire Allaire, M. Vanninathan. Homogenization of the Schrodinger equation

More information

Lecture 12: Detailed balance and Eigenfunction methods

Lecture 12: Detailed balance and Eigenfunction methods Lecture 12: Detailed balance and Eigenfunction methods Readings Recommended: Pavliotis [2014] 4.5-4.7 (eigenfunction methods and reversibility), 4.2-4.4 (explicit examples of eigenfunction methods) Gardiner

More information

Homogenization and Multiscale Modeling

Homogenization and Multiscale Modeling Ralph E. Showalter http://www.math.oregonstate.edu/people/view/show Department of Mathematics Oregon State University Multiscale Summer School, August, 2008 DOE 98089 Modeling, Analysis, and Simulation

More information

Second Order Elliptic PDE

Second Order Elliptic PDE Second Order Elliptic PDE T. Muthukumar tmk@iitk.ac.in December 16, 2014 Contents 1 A Quick Introduction to PDE 1 2 Classification of Second Order PDE 3 3 Linear Second Order Elliptic Operators 4 4 Periodic

More information

Transport equations with disparate advection fields. Application to the gyrokinetic models in plasma physics

Transport equations with disparate advection fields. Application to the gyrokinetic models in plasma physics Transport equations with disparate advection fields. Application to the gyrokinetic models in plasma physics Mihai Bostan (July 22, 2 Abstract The subject matter of this paper concerns the asymptotic regimes

More information

Lecture No 1 Introduction to Diffusion equations The heat equat

Lecture No 1 Introduction to Diffusion equations The heat equat Lecture No 1 Introduction to Diffusion equations The heat equation Columbia University IAS summer program June, 2009 Outline of the lectures We will discuss some basic models of diffusion equations and

More information

Uniform estimates for Stokes equations in domains with small holes and applications in homogenization problems

Uniform estimates for Stokes equations in domains with small holes and applications in homogenization problems Uniform estimates for Stokes equations in domains with small holes and applications in homogenization problems Yong Lu Abstract We consider the Dirichlet problem for the Stokes equations in a domain with

More information

Second order corrector in the homogenization of a conductive-radiative heat transfer problem

Second order corrector in the homogenization of a conductive-radiative heat transfer problem Second order corrector in the homogenization of a conductive-radiative heat transfer problem Grégoire Allaire, Zakaria Habibi To cite this version: Grégoire Allaire, Zakaria Habibi. Second order corrector

More information

Smilansky-Solomyak model with a δ -interaction

Smilansky-Solomyak model with a δ -interaction Smilansky-Solomyak model with a δ -interaction Jiří Lipovský University of Hradec Králové, Faculty of Science jiri.lipovsky@uhk.cz joint work with P. Exner Ostrava, April 6, 2018 Jiří Lipovský Smilansky-Solomyak

More information

Allen Cahn Equation in Two Spatial Dimension

Allen Cahn Equation in Two Spatial Dimension Allen Cahn Equation in Two Spatial Dimension Yoichiro Mori April 25, 216 Consider the Allen Cahn equation in two spatial dimension: ɛ u = ɛ2 u + fu) 1) where ɛ > is a small parameter and fu) is of cubic

More information

OPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS

OPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS PORTUGALIAE MATHEMATICA Vol. 59 Fasc. 2 2002 Nova Série OPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS J. Saint Jean Paulin and H. Zoubairi Abstract: We study a problem of

More information

1 The Stokes System. ρ + (ρv) = ρ g(x), and the conservation of momentum has the form. ρ v (λ 1 + µ 1 ) ( v) µ 1 v + p = ρ f(x) in Ω.

1 The Stokes System. ρ + (ρv) = ρ g(x), and the conservation of momentum has the form. ρ v (λ 1 + µ 1 ) ( v) µ 1 v + p = ρ f(x) in Ω. 1 The Stokes System The motion of a (possibly compressible) homogeneous fluid is described by its density ρ(x, t), pressure p(x, t) and velocity v(x, t). Assume that the fluid is barotropic, i.e., the

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

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 Numerical Methods for Partial Differential Equations Finite Difference Methods

More information

MATH 425, FINAL EXAM SOLUTIONS

MATH 425, FINAL EXAM SOLUTIONS MATH 425, FINAL EXAM SOLUTIONS Each exercise is worth 50 points. Exercise. a The operator L is defined on smooth functions of (x, y by: Is the operator L linear? Prove your answer. L (u := arctan(xy u

More information

SOME PROBLEMS IN SCALING UP THE SOURCE TERMS IN AN UNDERGROUND WASTE REPOSITORY. A.Bourgeat

SOME PROBLEMS IN SCALING UP THE SOURCE TERMS IN AN UNDERGROUND WASTE REPOSITORY. A.Bourgeat SOME PROBLEMS IN SCALING UP THE SOURCE TERMS IN AN UNDERGROUND WASTE REPOSITORY A.Bourgeat Oberwolfach Conference - October 31, November 4; 2005 - Reactive Flow and Transport in Complex Systems Alain Bourgeat

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

and finally, any second order divergence form elliptic operator

and finally, any second order divergence form elliptic operator Supporting Information: Mathematical proofs Preliminaries Let be an arbitrary bounded open set in R n and let L be any elliptic differential operator associated to a symmetric positive bilinear form B

More information

Exit times of diffusions with incompressible drifts

Exit times of diffusions with incompressible drifts Exit times of diffusions with incompressible drifts Andrej Zlatoš University of Chicago Joint work with: Gautam Iyer (Carnegie Mellon University) Alexei Novikov (Pennylvania State University) Lenya Ryzhik

More information

Quantitative Homogenization of Elliptic Operators with Periodic Coefficients

Quantitative Homogenization of Elliptic Operators with Periodic Coefficients Quantitative Homogenization of Elliptic Operators with Periodic Coefficients Zhongwei Shen Abstract. These lecture notes introduce the quantitative homogenization theory for elliptic partial differential

More information

IV. Transport Phenomena Lecture 18: Forced Convection in Fuel Cells II

IV. Transport Phenomena Lecture 18: Forced Convection in Fuel Cells II IV. Transport Phenomena Lecture 18: Forced Convection in Fuel Cells II MIT Student (and MZB) As discussed in the previous lecture, we are interested in forcing fluid to flow in a fuel cell in order to

More information

Homogenization limit for electrical conduction in biological tissues in the radio-frequency range

Homogenization limit for electrical conduction in biological tissues in the radio-frequency range Homogenization limit for electrical conduction in biological tissues in the radio-frequency range Micol Amar a,1 Daniele Andreucci a,2 Paolo Bisegna b,2 Roberto Gianni a,2 a Dipartimento di Metodi e Modelli

More information

KPP Pulsating Traveling Fronts within Large Drift

KPP Pulsating Traveling Fronts within Large Drift KPP Pulsating Traveling Fronts within Large Drift Mohammad El Smaily Joint work with Stéphane Kirsch University of British olumbia & Pacific Institute for the Mathematical Sciences September 17, 2009 PIMS

More information

THE L 2 -HODGE THEORY AND REPRESENTATION ON R n

THE L 2 -HODGE THEORY AND REPRESENTATION ON R n THE L 2 -HODGE THEORY AND REPRESENTATION ON R n BAISHENG YAN Abstract. We present an elementary L 2 -Hodge theory on whole R n based on the minimization principle of the calculus of variations and some

More information

Math The Laplacian. 1 Green s Identities, Fundamental Solution

Math The Laplacian. 1 Green s Identities, Fundamental Solution Math. 209 The Laplacian Green s Identities, Fundamental Solution Let be a bounded open set in R n, n 2, with smooth boundary. The fact that the boundary is smooth means that at each point x the external

More 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

Chapter 13. Eddy Diffusivity

Chapter 13. Eddy Diffusivity Chapter 13 Eddy Diffusivity Glenn introduced the mean field approximation of turbulence in two-layer quasigesotrophic turbulence. In that approximation one must solve the zonally averaged equations for

More information

DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS

DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS ADILBEK KAIRZHAN, DMITRY E. PELINOVSKY, AND ROY H. GOODMAN Abstract. When the coefficients of the cubic terms match the coefficients in the boundary

More information

Scientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1

Scientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1 Scientific Computing WS 2018/2019 Lecture 15 Jürgen Fuhrmann juergen.fuhrmann@wias-berlin.de Lecture 15 Slide 1 Lecture 15 Slide 2 Problems with strong formulation Writing the PDE with divergence and gradient

More information

TOPICS IN HOMOGENIZATION OF DIFFERENTIAL EQUATIONS 7

TOPICS IN HOMOGENIZATION OF DIFFERENTIAL EQUATIONS 7 TOPICS IN HOMOGENIZATION OF DIFFERENTIAL EQUATIONS 7. Two-scale asymptotic epansions method We will illustrate this method by applying it to an elliptic boundary value problem for the unknown u : æ R given

More information

MATH 425, HOMEWORK 3 SOLUTIONS

MATH 425, HOMEWORK 3 SOLUTIONS MATH 425, HOMEWORK 3 SOLUTIONS Exercise. (The differentiation property of the heat equation In this exercise, we will use the fact that the derivative of a solution to the heat equation again solves the

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

Diffusion on the half-line. The Dirichlet problem

Diffusion on the half-line. The Dirichlet problem Diffusion on the half-line The Dirichlet problem Consider the initial boundary value problem (IBVP) on the half line (, ): v t kv xx = v(x, ) = φ(x) v(, t) =. The solution will be obtained by the reflection

More information

A Variational Analysis of a Gauged Nonlinear Schrödinger Equation

A Variational Analysis of a Gauged Nonlinear Schrödinger Equation A Variational Analysis of a Gauged Nonlinear Schrödinger Equation Alessio Pomponio, joint work with David Ruiz Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari Variational and Topological

More information

Mathematical Methods for Neurosciences. ENS - Master MVA Paris 6 - Master Maths-Bio ( )

Mathematical Methods for Neurosciences. ENS - Master MVA Paris 6 - Master Maths-Bio ( ) Mathematical Methods for Neurosciences. ENS - Master MVA Paris 6 - Master Maths-Bio (2014-2015) Etienne Tanré - Olivier Faugeras INRIA - Team Tosca November 26th, 2014 E. Tanré (INRIA - Team Tosca) Mathematical

More information

Stability of an abstract wave equation with delay and a Kelvin Voigt damping

Stability of an abstract wave equation with delay and a Kelvin Voigt damping Stability of an abstract wave equation with delay and a Kelvin Voigt damping University of Monastir/UPSAY/LMV-UVSQ Joint work with Serge Nicaise and Cristina Pignotti Outline 1 Problem The idea Stability

More information

GLOBAL ATTRACTIVITY IN A CLASS OF NONMONOTONE REACTION-DIFFUSION EQUATIONS WITH TIME DELAY

GLOBAL ATTRACTIVITY IN A CLASS OF NONMONOTONE REACTION-DIFFUSION EQUATIONS WITH TIME DELAY CANADIAN APPLIED MATHEMATICS QUARTERLY Volume 17, Number 1, Spring 2009 GLOBAL ATTRACTIVITY IN A CLASS OF NONMONOTONE REACTION-DIFFUSION EQUATIONS WITH TIME DELAY XIAO-QIANG ZHAO ABSTRACT. The global attractivity

More information

1 Introduction We will consider traveling waves for reaction-diusion equations (R-D) u t = nx i;j=1 (a ij (x)u xi ) xj + f(u) uj t=0 = u 0 (x) (1.1) w

1 Introduction We will consider traveling waves for reaction-diusion equations (R-D) u t = nx i;j=1 (a ij (x)u xi ) xj + f(u) uj t=0 = u 0 (x) (1.1) w Reaction-Diusion Fronts in Periodically Layered Media George Papanicolaou and Xue Xin Courant Institute of Mathematical Sciences 251 Mercer Street, New York, N.Y. 10012 Abstract We compute the eective

More information

Problem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx.

Problem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx. Problem set 3: Solutions Math 27B, Winter 216 1. Suppose that u(x) is a non-zero solution of the eigenvalue problem u = λu < x < 1, u() =, u(1) =. Show that λ = (u ) 2 dx u2 dx. Deduce that every eigenvalue

More information

Homogenization of the compressible Navier Stokes equations in domains with very tiny holes

Homogenization of the compressible Navier Stokes equations in domains with very tiny holes Homogenization of the compressible Navier Stokes equations in domains with very tiny holes Yong Lu Sebastian Schwarzacher Abstract We consider the homogenization problem of the compressible Navier Stokes

More information

ON A PRIORI ERROR ANALYSIS OF FULLY DISCRETE HETEROGENEOUS MULTISCALE FEM

ON A PRIORI ERROR ANALYSIS OF FULLY DISCRETE HETEROGENEOUS MULTISCALE FEM MULTISCALE MODEL. SIMUL. Vol. 4, No. 2, pp. 447 459 c 2005 Society for Industrial and Applied Mathematics ON A PRIORI ERROR ANALYSIS OF FULLY DISCRETE HETEROGENEOUS MULTISCALE FEM ASSYR ABDULLE Abstract.

More information

The KPP minimal speed within large drift in two dimensions

The KPP minimal speed within large drift in two dimensions The KPP minimal speed within large drift in two dimensions Mohammad El Smaily Joint work with Stéphane Kirsch University of British Columbia & Pacific Institute for the Mathematical Sciences Banff, March-2010

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

Introduction to Partial Differential Equations

Introduction to Partial Differential Equations Introduction to Partial Differential Equations Partial differential equations arise in a number of physical problems, such as fluid flow, heat transfer, solid mechanics and biological processes. These

More information

Uniform estimates for Stokes equations in domains with small holes and applications in homogenization problems

Uniform estimates for Stokes equations in domains with small holes and applications in homogenization problems Uniform estimates for Stokes equations in domains with small holes and applications in homogenization problems Yong Lu Abstract We consider the Dirichlet problem for the Stokes equations in a domain with

More information

Formal Asymptotic Homogenization

Formal Asymptotic Homogenization September 21 25, 2015 Formal asymptotic homogenization Here we present a formal asymptotic technique (sometimes called asymptotic homogenization) based on two-spatial scale expansions These expansions

More information

4.7 Dispersion in an oscillatory shear flow

4.7 Dispersion in an oscillatory shear flow Lecture notes in Fluid ynamics.63j/.0j) by Chiang C. Mei, MIT, Spring, 007 4-6dispersion.tex March, 007 [Refs]:. Aris:. Fung, Y. C. Biomechanics 4.7 ispersion in an oscillatory shear flow Relevant to the

More information

ADJOINT METHODS FOR OBSTACLE PROBLEMS AND WEAKLY COUPLED SYSTEMS OF PDE. 1. Introduction

ADJOINT METHODS FOR OBSTACLE PROBLEMS AND WEAKLY COUPLED SYSTEMS OF PDE. 1. Introduction ADJOINT METHODS FOR OBSTACLE PROBLEMS AND WEAKLY COPLED SYSTEMS OF PDE F. CAGNETTI, D. GOMES, AND H.V. TRAN Abstract. The adjoint method, recently introduced by Evans, is used to study obstacle problems,

More information

In this chapter we study elliptical PDEs. That is, PDEs of the form. 2 u = lots,

In this chapter we study elliptical PDEs. That is, PDEs of the form. 2 u = lots, Chapter 8 Elliptic PDEs In this chapter we study elliptical PDEs. That is, PDEs of the form 2 u = lots, where lots means lower-order terms (u x, u y,..., u, f). Here are some ways to think about the physical

More information

Krein-Rutman Theorem and the Principal Eigenvalue

Krein-Rutman Theorem and the Principal Eigenvalue Chapter 1 Krein-Rutman Theorem and the Principal Eigenvalue The Krein-Rutman theorem plays a very important role in nonlinear partial differential equations, as it provides the abstract basis for the proof

More information

Real Variables # 10 : Hilbert Spaces II

Real Variables # 10 : Hilbert Spaces II randon ehring Real Variables # 0 : Hilbert Spaces II Exercise 20 For any sequence {f n } in H with f n = for all n, there exists f H and a subsequence {f nk } such that for all g H, one has lim (f n k,

More information

Introduction LECTURE 1

Introduction LECTURE 1 LECTURE 1 Introduction The source of all great mathematics is the special case, the concrete example. It is frequent in mathematics that every instance of a concept of seemingly great generality is in

More information

Boundary conditions. Diffusion 2: Boundary conditions, long time behavior

Boundary conditions. Diffusion 2: Boundary conditions, long time behavior Boundary conditions In a domain Ω one has to add boundary conditions to the heat (or diffusion) equation: 1. u(x, t) = φ for x Ω. Temperature given at the boundary. Also density given at the boundary.

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

Nonlinear and Nonlocal Degenerate Diffusions on Bounded Domains

Nonlinear and Nonlocal Degenerate Diffusions on Bounded Domains Nonlinear and Nonlocal Degenerate Diffusions on Bounded Domains Matteo Bonforte Departamento de Matemáticas, Universidad Autónoma de Madrid, Campus de Cantoblanco 28049 Madrid, Spain matteo.bonforte@uam.es

More information

STRUCTURAL OPTIMIZATION BY THE LEVEL SET METHOD

STRUCTURAL OPTIMIZATION BY THE LEVEL SET METHOD Shape optimization 1 G. Allaire STRUCTURAL OPTIMIZATION BY THE LEVEL SET METHOD G. ALLAIRE CMAP, Ecole Polytechnique with F. JOUVE and A.-M. TOADER 1. Introduction 2. Setting of the problem 3. Shape differentiation

More information

Local smoothing and Strichartz estimates for manifolds with degenerate hyperbolic trapping

Local smoothing and Strichartz estimates for manifolds with degenerate hyperbolic trapping Local smoothing and Strichartz estimates for manifolds with degenerate hyperbolic trapping H. Christianson partly joint work with J. Wunsch (Northwestern) Department of Mathematics University of North

More information

REACTION-DIFFUSION EQUATIONS FOR POPULATION DYNAMICS WITH FORCED SPEED II - CYLINDRICAL-TYPE DOMAINS. Henri Berestycki and Luca Rossi

REACTION-DIFFUSION EQUATIONS FOR POPULATION DYNAMICS WITH FORCED SPEED II - CYLINDRICAL-TYPE DOMAINS. Henri Berestycki and Luca Rossi Manuscript submitted to Website: http://aimsciences.org AIMS Journals Volume 00, Number 0, Xxxx XXXX pp. 000 000 REACTION-DIFFUSION EQUATIONS FOR POPULATION DYNAMICS WITH FORCED SPEED II - CYLINDRICAL-TYPE

More information

Exit times of diffusions with incompressible drift

Exit times of diffusions with incompressible drift Exit times of diffusions with incompressible drift Gautam Iyer, Carnegie Mellon University gautam@math.cmu.edu Collaborators: Alexei Novikov, Penn. State Lenya Ryzhik, Stanford University Andrej Zlatoš,

More information

Homogenization Theory

Homogenization Theory Homogenization Theory Sabine Attinger Lecture: Homogenization Tuesday Wednesday Thursday August 15 August 16 August 17 Lecture Block 1 Motivation Basic Ideas Elliptic Equations Calculation of Effective

More information

Kramers formula for chemical reactions in the context of Wasserstein gradient flows. Michael Herrmann. Mathematical Institute, University of Oxford

Kramers formula for chemical reactions in the context of Wasserstein gradient flows. Michael Herrmann. Mathematical Institute, University of Oxford eport no. OxPDE-/8 Kramers formula for chemical reactions in the context of Wasserstein gradient flows by Michael Herrmann Mathematical Institute, University of Oxford & Barbara Niethammer Mathematical

More information

REMARKS ON THE VANISHING OBSTACLE LIMIT FOR A 3D VISCOUS INCOMPRESSIBLE FLUID

REMARKS ON THE VANISHING OBSTACLE LIMIT FOR A 3D VISCOUS INCOMPRESSIBLE FLUID REMARKS ON THE VANISHING OBSTACLE LIMIT FOR A 3D VISCOUS INCOMPRESSIBLE FLUID DRAGOŞ IFTIMIE AND JAMES P. KELLIHER Abstract. In [Math. Ann. 336 (2006), 449-489] the authors consider the two dimensional

More information

LECTURE 3 NUMERICAL METHODS OF HOMOGENIZATION

LECTURE 3 NUMERICAL METHODS OF HOMOGENIZATION CEA-EDF-INRIA school on homogenization, 13-16 December 20 LECTURE 3 NUMERICAL METHODS OF HOMOGENIZATION Grégoire ALLAIRE Ecole Polytechnique CMAP 91128 Palaiseau, France The goal of this lecture is to

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

Lecture 12: Detailed balance and Eigenfunction methods

Lecture 12: Detailed balance and Eigenfunction methods Miranda Holmes-Cerfon Applied Stochastic Analysis, Spring 2015 Lecture 12: Detailed balance and Eigenfunction methods Readings Recommended: Pavliotis [2014] 4.5-4.7 (eigenfunction methods and reversibility),

More information

Analysis of PDE models of molecular motors. Benoît Perthame based on works with P. E. Souganidis

Analysis of PDE models of molecular motors. Benoît Perthame based on works with P. E. Souganidis Analysis of PDE models of molecular motors Benoît Perthame based on works with P. E. Souganidis Asymmetry and motion Except human constructions movement always uses asymmetry Asymmetry and motion See M.

More information

Section 12.6: Non-homogeneous Problems

Section 12.6: Non-homogeneous Problems Section 12.6: Non-homogeneous Problems 1 Introduction Up to this point all the problems we have considered are we what we call homogeneous problems. This means that for an interval < x < l the problems

More information

Some Notes on Elliptic Regularity

Some Notes on Elliptic Regularity Some Notes on Elliptic Regularity Here we consider first the existence of weak solutions to elliptic problems of the form: { Lu = f, u = 0, (1) and then we consider the regularity of such solutions. The

More information

Some recent results on controllability of coupled parabolic systems: Towards a Kalman condition

Some recent results on controllability of coupled parabolic systems: Towards a Kalman condition Some recent results on controllability of coupled parabolic systems: Towards a Kalman condition F. Ammar Khodja Clermont-Ferrand, June 2011 GOAL: 1 Show the important differences between scalar and non

More information

CRYSTAL DISSOLUTION AND PRECIPITATION IN POROUS MEDIA: L 1 -CONTRACTION AND UNIQUENESS

CRYSTAL DISSOLUTION AND PRECIPITATION IN POROUS MEDIA: L 1 -CONTRACTION AND UNIQUENESS DSCRETE AND CONTNUOUS Website: www.amsciences.org DYNAMCAL SYSTEMS SUPPLEMENT 2007 pp. 1013 1020 CRYSTAL DSSOLUTON AND PRECPTATON N POROUS MEDA: L 1 -CONTRACTON AND UNQUENESS T. L. van Noorden,. S. Pop

More information

Mathematical modelling of collective behavior

Mathematical modelling of collective behavior Mathematical modelling of collective behavior Young-Pil Choi Fakultät für Mathematik Technische Universität München This talk is based on joint works with José A. Carrillo, Maxime Hauray, and Samir Salem

More information

Conservation Laws of Surfactant Transport Equations

Conservation Laws of Surfactant Transport Equations Conservation Laws of Surfactant Transport Equations Alexei Cheviakov Department of Mathematics and Statistics, University of Saskatchewan, Saskatoon, Canada Winter 2011 CMS Meeting Dec. 10, 2011 A. Cheviakov

More information

ON THE SPECTRUM OF THE DIRICHLET LAPLACIAN IN A NARROW STRIP

ON THE SPECTRUM OF THE DIRICHLET LAPLACIAN IN A NARROW STRIP ON THE SPECTRUM OF THE DIRICHLET LAPLACIAN IN A NARROW STRIP LEONID FRIEDLANDER AND MICHAEL SOLOMYAK Abstract. We consider the Dirichlet Laplacian in a family of bounded domains { a < x < b, 0 < y < h(x)}.

More information

Lubrication and roughness

Lubrication and roughness Lubrication and roughness Laurent Chupin 1 & Sébastien Martin 2 1 - Institut Camille Jordan - Lyon 2 - Laboratoire de Mathématiques - Orsay GdR CHANT - August 2010 Laurent Chupin (ICJ Lyon) Lubrication

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

On Schrödinger equations with inverse-square singular potentials

On Schrödinger equations with inverse-square singular potentials On Schrödinger equations with inverse-square singular potentials Veronica Felli Dipartimento di Statistica University of Milano Bicocca veronica.felli@unimib.it joint work with Elsa M. Marchini and Susanna

More information

On quasi-richards equation and finite volume approximation of two-phase flow with unlimited air mobility

On quasi-richards equation and finite volume approximation of two-phase flow with unlimited air mobility On quasi-richards equation and finite volume approximation of two-phase flow with unlimited air mobility B. Andreianov 1, R. Eymard 2, M. Ghilani 3,4 and N. Marhraoui 4 1 Université de Franche-Comte Besançon,

More information

Enhanced resolution in structured media

Enhanced resolution in structured media Enhanced resolution in structured media Eric Bonnetier w/ H. Ammari (Ecole Polytechnique), and Yves Capdeboscq (Oxford) Outline : 1. An experiment of super resolution 2. Small volume asymptotics 3. Periodicity

More information

Composite Membranes. 8th August 2006

Composite Membranes. 8th August 2006 Composite Membranes Aldo Lopes UFMG, aldoelopes@hotmail.com Russell E. Howes, Brigham Young University rhowes@byu.edu Cynthia Shepherd, California State University - Northridge Cynthia.Shepherd.87@csun.edu

More information