Lubrication and roughness

Size: px
Start display at page:

Download "Lubrication and roughness"

Transcription

1 Lubrication and roughness Laurent Chupin 1 & Sébastien Martin Institut Camille Jordan - Lyon 2 - Laboratoire de Mathématiques - Orsay GdR CHANT - August 2010 Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 1 / 19

2 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 1 / 19

3 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 1 / 19

4 Anisotropy and shear Anisotropic domain Ω ε = { } (x, y) R d+1 ; 0 < y < εh + (x) { (u, v) = (s, 0) on the bottom y = 0, Shear velocity (u, v) = (0, 0) on the top y = εh + (x). Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 2 / 19

5 Asymptotic behavior x u 2 y u + xp = 0 on Ω ε x v 2 y v + y p = 0 on Ω ε div x u + y v = 0 on Ω ε Denoting (u 0, v 0, p 0 ) the equivalent obtained when ε tends to 0, we obtain p 0 only depends on x div x ( h xp 0 ) = div x ( h 2 s ) on R d (u 0, v 0 ) are explicit fonctions of p 0 and Z = y ε References: Reynolds (1886) Bayada-Chambat (1986) Wilkening (2009) Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 3 / 19

6 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 3 / 19

7 Roughness-induced eective boundary conditions u(x, y) = u 0 (x, y) + ε ũ 1 ( x ε, y ε ) + ε u 1 (x, y) + First order estimates u u 0 L2 (Ω ε) ε and u u 0 H 1 (Ω ε) ε. Next order: justication of the law u + εα y u = 0 on y = 0. References: Navier (1827) Jäger-Mikelic (2001) Gérard Varet (2008) Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 4 / 19

8 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 4 / 19

9 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 4 / 19

10 Proposition of development u(x, y) = v(x, y) = p(x, y) = N j=0 N j=0 N j=0 [ ( ε j u j x, y ) + ε ũ j+1 (x, x ε ε, y )] + R(x, y), 2 ε 2 [ ( ε j+1 v j x, y ) + ṽ j+1 (x, x ε ε, y )] + S(x, y), 2 ε 2 [ ( ε j 2 p j x, y ) + ε p j+1 (x, x ε ε, y )] + Q(x, y). 2 ε 2 Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 5 / 19

11 Proposition of development u(x, y) = v(x, y) = p(x, y) = N j=0 N j=0 N j=0 [ ( ε j u j x, y ) + ε ũ j+1 (x, x ε ε, y )] + R(x, y), 2 ε 2 [ ( ε j+1 v j x, y ) + ṽ j+1 (x, x ε ε, y )] + S(x, y), 2 ε 2 [ ( ε j 2 p j x, y ) + ε p j+1 (x, x ε ε, y )] + Q(x, y). 2 ε 2 1 Put this development in the Stokes system 2 Identify the same order with respect to ε 3 Separate the variables x, Z = y ε, X = x ε 2 and Y = y ε 2 4 Treat the boundary conditions Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 5 / 19

12 Systems satised at each order Stokes system for the unknowns (ũ j, ṽ j, p j ) on the cell ω bl : (S (j) ) Example of source term X ũ j 2 Y ũj + X p j = F j on ω bl, X ṽ j 2 Y ṽj + Y p j = G j on ω bl, div X ũ j + Y ṽ j = H j on ω bl, ũ j = Ũ j on γ bl, ṽ j = Ṽj on γ bl, (ũ j, ṽ j, p j ) is X periodic. H j : (X, Y ) C j 2 div x ũ j 2 (, X, Y ) Boundary terms Ũ j : X h (X) Z u j 1 (x, 0) Ṽ j : X h (X) Z v j 2 (x, 0) Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 6 / 19

13 Systems satised at each order Reynolds system for the unknowns (u j, v j, p j ) on the domain ω R : 2 Z u j + x p j = F j on ω R, Z p j = G j on ω R, div x u j + Z v j = H j on ω R, (u j, v j ) = (0, 0) on γ 0, (u j, v j ) = (α j, β j+1 ) on γ +. (R (j) ) Example of source term H j : x C j (x). Boundary term α j (x) = β j+1 (x) = lim Y + ]0,1[d ũj(x, X, Y ) d X lim Y + ]0,1[d ṽj+1(x, X, Y ) d X Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 7 / 19

14 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 7 / 19

15 Analysis of the Stokes problems Proposition 1 There exists constants A j 2, B j 1 and C j 2 such that the solution of S (j) satises, for all X ]0, 1[ d and Y > 0 ũ j (X, Y ) α j and ṽ j (X, Y ) β j and p j (X, Y ) e Y Proof: 1 Induction for j 2 Fourier analysis Note that for j N, we have choosen C j = div x α j. Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 8 / 19

16 Analysis of the Stokes problems One important remark: Lemma 1 If we dene L v : ( ]0,1[d H, Ũ, Ṽ) ṽ(x, 0) d X R, where ṽ is a function X periodic satisfying { div X ũ + Y ṽ = H on ω bl, (ũ, ṽ) = (Ũ, Ṽ) on γ bl, then ( ) L v H, c h (X), c h (X) = {Y <0} H(X, Y ) d XdY c ]0,1[d h (X) d X. Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 9 / 19

17 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 9 / 19

18 Analysis of the Reynolds problems Proposition 2 For j N the problem R (j) admits a unique regular solution (u j, v j, p j ). Proof - Due to the fact that C j = div x α j, the system R (j) implies that u j + α j, v j + β j+1 and p j verify the following Reynolds-type problems: 2 Z u + xp = F on ω R, Z p = G on ω R, div x u + Z v = 0 on ω R, (u, v) = (U 0, V 0 ) on γ 0, (u, v) = (0, 0) on γ +. where U 0 = α j and V 0 = β j+1. Compatibility condition: Td V0 (x) dx = 0. Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 10 / 19

19 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 10 / 19

20 Algorithm 2 Z u 0 + x p 0 = 0 on ω R, Z p 0 = 0 on ω R, div x u 0 + Z v 0 = 0 on ω R, X ũ 1 2 Y ũ1 + X p 1 = 0 on ω bl, X ṽ 1 2 Y ṽ1 + Y p 1 = 0 on ω bl, div X ũ 1 + Y ṽ 1 = 0 on ω bl, (u 0, v 0 ) = (s, 0) on γ 0, (u 0, v 0 ) = (0, 0) on γ +. ũ 1 = h (X) Z u 0 (x, 0) on γ bl, ṽ 1 = 0 on γ bl. This corrector produce an error in the macroscopic domain Ω + ε α 1 (x) := lim Y + ]0,1[d ũ1(x, X, Y ) d X 0. 2 Z (u 1 + α 1 ) + x p 1 = 0 on ω R, Z p 1 = 0 on ω R, div x (u 1 + α 1 ) + Z v 1 = 0 on ω R, since (u 1 + α 1, v 1 ) = (α 1, 0) on γ 0, (u 1 + α 1, v 1 ) = (0, 0) on γ +. Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 11 / 19

21 Algorithm X ũ 2 2 Y ũ2 + X p 2 = 0, X ṽ 2 2 Y ṽ2 + Y p 2 = 0, div X ũ 2 + Y ṽ 2 = 0, ũ 2 = h (X) Z u 1 (x, 0) on γ bl, ṽ 2 = h (X) Z v 0 (x, 0) on γ bl. This corrector produce an error in the macroscopic domain Ω + ε α 2 (x) := lim Y + ]0,1[d ũ2(x, X, Y ) d X. since 2 Z (u 2 + α 2 ) + x p 2 = x u 0, Z p 2 = 2 Z v 0, div x (u 2 + α 2 ) + Z (v 2 + β 3 ) = 0, (u 2 + α 2, v 2 + β 3 ) = (α 2, β 3 ) on γ 0, (u 2 + α 2, v 2 + β 3 ) = (0, 0) on γ +. The function β 3 can be evaluate using the result of lemma 1: β 3 (x) = L v ( H 3, Z u 2 (x, 0) h, Z v 1 (x, 0) h ) ( ) = div x ũ 1 (x, X, Y ) d XdY. Y <0 Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 12 / 19

22 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 12 / 19

23 Stokes system satised by the residue x R 2 y R + x Q = F ε (N) on Ω ε, x S 2 y S + y Q = G ε (N) on Ω ε, div x R + y S = H ε (N) on Ω ε, R = U ε (N) on Γ + ε, S = V ε (N) R = 0 on Γ + ε, on Γ ε, S = W ε (N) on Γ ε. Example of source term: ( F (N) ε (x, y) = F R ε x, y ) + F bl ε (x, x ε ε, y ) 2 ε 2 with F R ε :=ε N 1( ) ε x u N + x u N 1 and F bl ε :=ε N 2( ε 3 x ũ N+1 + ε 2 x ũ N + ε x ũ N 1 + x ũ N 2 + 2ε x X ũ N x X ũ N ε x p N+1 x p N ). Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 13 / 19

24 Lift velocity: Bogovskii formulae 1 Lift velocity for the boundary condition (easy and explicit) 2 Lift velocity for the divergence condition: Proposition 3 (Bogovskii) If H Ḣ m (Ω ε ) then there exists a solution ( R, S) H m+1 (Ω ε ) of { div x R + y S = H on Ωε, ( R, S) = (0, 0) on Γ ε Γ + ε, such that x,y ( R, S) H m (Ωε) 1 ε H Hm (Ωε). Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 14 / 19

25 Classical estimates The unknowns (R := R R, S := S S, Q) satisfy x R 2 y R + x Q = F ε on Ω ε, x S 2 y S + y Q = G ε on Ω ε, div x R + y S = 0 on Ω ε, (R, S) = (0, 0) on Γ ε Γ + ε. Proposition 4 i) Estimates in the L 2 norm: (R, S) L2 (Ω ε) ε 2 (F ε, G ε ) L2 (Ω ε), Q L2 (Ω ε) ε (F ε, G ε ) L2 (Ω ε). ii) Estimates in the H 1 norm: (R, S) H 1 (Ω ε) ε (F ε, G ε ) L2 (Ω ε), Q H 1 (Ω ε) (F ε, G ε ) L2 (Ω ε). Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 15 / 19

26 Control with respect to ε Lemma 2 Let f C 1 (T d ω bl ) such that f (,, Y ) = O(e Y ) for Y +. ( f x, x ε, y ) 2 ε 2 L 2 (Ω ε and f ε) (x, x ε, y ) 2 ε 2 H 1 (Ω 1 ε) ε. Lemma 3 Let g C 0 (ω R ) dened on {(x, Z), Z < 0} by a regular extension. ( g x, y ) ε L 2 (Ω ε) ε. Using the denition of the source terms F ε, G ε and H ε, we obtain F ε L2 (Ω ε) ε N 1, G ε L2 (Ω ε) ε N 3/2, H ε H 1 (Ω ε) ε N 1... Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 16 / 19

27 Control with respect to ε Proposition 5 i) Estimates in the L 2 norm: (R, S) L2 (Ω ε) ε N 1/2, Q L2 (Ω ε) ε N 3/2. ii) Estimates in the H 1 norm: (R, S) H 1 (Ω ε) ε N 3/2, Q H 1 (Ω ε) ε N 5/2. Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 17 / 19

28 Summary 1 Thin lms: lubrication 2 Roughness: wall laws 3 Lubrication and roughness Ansatz Stokes problems Reynolds problems Algorithm Error analysis Two particular cases Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 17 / 19

29 Contribution of the rugosities in the thin lm approximation Without rugosities: h = 0 Then the asymptotic expansion reduces to u (x, y) = v (x, y) = p (x, y) = [N/2] j=0 [N/2] j=0 [N/2] j=0 ( ε 2j u 2j x, y ) + R(x, y), ε ( ε 2j+1 v 2j x, y ) + S(x, y), ε ( ε 2j 2 p 2j x, y ) + Q(x, y). ε Only the sequence of Reynolds problems R (2j) is considered. Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 18 / 19

30 Scale eects due to the curvature of the lm thickness Without curvature: h + = constant 1 (u 0, v 0, p 0 ) explicit and simple (in particular x u 0 = 0 and v 0 = 0). 2 (ũ 1, ṽ 1, p 1 ) solution of S (1) (does not depend on x). 3 For j > 0, we obtain (case d = 1) u j + α j = α j ũ j = α j s ũ1, s u 0, v j = 0, p j = α j s p 0 ṽ j = α j s ṽ1, p j = α j s p 1 and α j s ( = α1 ) j. s 4 We deduce the following approximate solution (error e h+ /ε ) s u = s + (u 0 s) + ε α 1 ũ 1, s ε α 1 s ε α 1 v = ε α 1 ṽ 1, s ε α 1 p = 1 s ε 2 p α 1 p 1. s ε α 1 ε s ε α 1 Laurent Chupin (ICJ Lyon) Lubrication and roughness GdR CHANT 19 / 19

On a coupled free boundary problem for a piezoviscous fluid in thin film

On a coupled free boundary problem for a piezoviscous fluid in thin film On a coupled free boundary problem for a piezoviscous fluid in thin film G. Bayada, L. Chupin, B. Grec 1 Institut Camille Jordan, Lyon, France 1 berenice.grec@insa-lyon.fr International Conference on Mathematical

More information

Effective slip law for general viscous flows over oscillating surface

Effective slip law for general viscous flows over oscillating surface Talk at the conference Enjeux de Modélisation et Analyse Liés aux Problèmes de Surfaces Rugueuses et de Défauts, Vienna, AUSTRIA, August 23 - August 27, 2010 p. 1/5 Effective slip law for general viscous

More information

Convergence to the Reynolds approximation with a double effect of roughness

Convergence to the Reynolds approximation with a double effect of roughness Convergence to the Reynolds approximation with a double effect of roughness Catherine Choquet, Laurent Chupin, Marguerite Gisclon 3 Key Words - Boundary conditions, upscaling, two-scale convergence, micro-fluidic,

More information

Asymptotic Analysis of the Lubrication Problem with Nonstandard Boundary Conditions for Microrotation

Asymptotic Analysis of the Lubrication Problem with Nonstandard Boundary Conditions for Microrotation Filomat :8 6, 47 DOI.98/FIL68P Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Asymptotic Analysis of the Lubrication Problem with

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

Boundary layers for Navier-Stokes equations with slip boundary conditions

Boundary layers for Navier-Stokes equations with slip boundary conditions Boundary layers for Navier-Stokes equations with slip boundary conditions Matthew Paddick Laboratoire Jacques-Louis Lions Université Pierre et Marie Curie (Paris 6) Séminaire EDP, Université Paris-Est

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

On the well-posedness of the Prandtl boundary layer equation

On the well-posedness of the Prandtl boundary layer equation On the well-posedness of the Prandtl boundary layer equation Vlad Vicol Department of Mathematics, The University of Chicago Incompressible Fluids, Turbulence and Mixing In honor of Peter Constantin s

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

On convergence criteria for incompressible Navier-Stokes equations with Navier boundary conditions and physical slip rates

On convergence criteria for incompressible Navier-Stokes equations with Navier boundary conditions and physical slip rates On convergence criteria for incompressible Navier-Stokes equations with Navier boundary conditions and physical slip rates Yasunori Maekawa Department of Mathematics, Graduate School of Science, Kyoto

More information

NAVIER-STOKES EQUATIONS IN THIN 3D DOMAINS WITH NAVIER BOUNDARY CONDITIONS

NAVIER-STOKES EQUATIONS IN THIN 3D DOMAINS WITH NAVIER BOUNDARY CONDITIONS NAVIER-STOKES EQUATIONS IN THIN 3D DOMAINS WITH NAVIER BOUNDARY CONDITIONS DRAGOŞ IFTIMIE, GENEVIÈVE RAUGEL, AND GEORGE R. SELL Abstract. We consider the Navier-Stokes equations on a thin domain of the

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

Asymptotic Derivation of Shallow Water equations for Non Newtonian Free Surface Flow

Asymptotic Derivation of Shallow Water equations for Non Newtonian Free Surface Flow Asymptotic Derivation of Shallow Water equations for Non Newtonian Free Surface Flow Jean Paul Vila Institut de Mathématiques de Toulouse. Mathématiques pour l Industrie et la Physique. Joint Work with

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

ASYMPTOTIC STRUCTURE FOR SOLUTIONS OF THE NAVIER STOKES EQUATIONS. Tian Ma. Shouhong Wang

ASYMPTOTIC STRUCTURE FOR SOLUTIONS OF THE NAVIER STOKES EQUATIONS. Tian Ma. Shouhong Wang DISCRETE AND CONTINUOUS Website: http://aimsciences.org DYNAMICAL SYSTEMS Volume 11, Number 1, July 004 pp. 189 04 ASYMPTOTIC STRUCTURE FOR SOLUTIONS OF THE NAVIER STOKES EQUATIONS Tian Ma Department of

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

On the (multi)scale nature of fluid turbulence

On the (multi)scale nature of fluid turbulence On the (multi)scale nature of fluid turbulence Kolmogorov axiomatics Laurent Chevillard Laboratoire de Physique, ENS Lyon, CNRS, France Laurent Chevillard, Laboratoire de Physique, ENS Lyon, CNRS, France

More information

Archivum Mathematicum

Archivum Mathematicum Archivum Mathematicum Antonija Duvnjak; Eduard Marušić-Paloka Derivation of the eynolds equation for lubrication of a rotating shaft Archivum Mathematicum, Vol. 36 (2), No. 4, 239--253 Persistent UL: http://dml.cz/dmlcz/17738

More information

EXISTENCE AND REGULARITY OF SOLUTIONS FOR STOKES SYSTEMS WITH NON-SMOOTH BOUNDARY DATA IN A POLYHEDRON

EXISTENCE AND REGULARITY OF SOLUTIONS FOR STOKES SYSTEMS WITH NON-SMOOTH BOUNDARY DATA IN A POLYHEDRON Electronic Journal of Differential Equations, Vol. 2017 (2017), No. 147, pp. 1 10. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu EXISTENCE AND REGULARITY OF SOLUTIONS FOR

More information

ME 509, Spring 2016, Final Exam, Solutions

ME 509, Spring 2016, Final Exam, Solutions ME 509, Spring 2016, Final Exam, Solutions 05/03/2016 DON T BEGIN UNTIL YOU RE TOLD TO! Instructions: This exam is to be done independently in 120 minutes. You may use 2 pieces of letter-sized (8.5 11

More information

Techinical Proofs for Nonlinear Learning using Local Coordinate Coding

Techinical Proofs for Nonlinear Learning using Local Coordinate Coding Techinical Proofs for Nonlinear Learning using Local Coordinate Coding 1 Notations and Main Results Denition 1.1 (Lipschitz Smoothness) A function f(x) on R d is (α, β, p)-lipschitz smooth with respect

More information

UNIVERSITY of LIMERICK

UNIVERSITY of LIMERICK UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH Faculty of Science and Engineering END OF SEMESTER ASSESSMENT PAPER MODULE CODE: MA4607 SEMESTER: Autumn 2012-13 MODULE TITLE: Introduction to Fluids DURATION OF

More information

Topological Derivatives in Shape Optimization

Topological Derivatives in Shape Optimization Topological Derivatives in Shape Optimization Jan Sokołowski Institut Élie Cartan 28 mai 2012 Shape optimization Well posedness of state equation - nonlinear problems, compressible Navier-Stokes equations

More information

Math 5588 Final Exam Solutions

Math 5588 Final Exam Solutions Math 5588 Final Exam Solutions Prof. Jeff Calder May 9, 2017 1. Find the function u : [0, 1] R that minimizes I(u) = subject to u(0) = 0 and u(1) = 1. 1 0 e u(x) u (x) + u (x) 2 dx, Solution. Since the

More information

From the Phan-Thien Tanner / Oldroyd-B non-newtonian model to the double shear thining Rabinowisch thin film model

From the Phan-Thien Tanner / Oldroyd-B non-newtonian model to the double shear thining Rabinowisch thin film model From the Phan-Thien Tanner / Oldroyd-B non-newtonian model to the double shear thining Rabinowisch thin film model Guy Bayada, Laurent Chupin, Sébastien Martin To cite this version: Guy Bayada, Laurent

More information

arxiv: v1 [math-ph] 22 Apr 2015

arxiv: v1 [math-ph] 22 Apr 2015 On the Beavers-Joseph-Saffman boundary condition for curved interfaces Sören Dobberschütz March 1, 18 arxiv:154.568v1 [math-ph] Apr 15 Abstract This document is an extended version of the results presented

More information

Rigorous derivation of a sixth order thin film equation

Rigorous derivation of a sixth order thin film equation Rigorous derivation of a sixth order thin film equation Boris Muha Department of Mathematics, Faculty of Science, University of Zagreb Waves in Flows, Prague, August 2018 Joint work with M. Bukal, University

More information

where c R and the content of f is one. 1

where c R and the content of f is one. 1 9. Gauss Lemma Obviously it would be nice to have some more general methods of proving that a given polynomial is irreducible. The first is rather beautiful and due to Gauss. The basic idea is as follows.

More information

An Example of Self Acceleration for Incompressible Flows. Key Words: incompressible flows, Euler equation, Navier-Stokes equation, self-acceleration

An Example of Self Acceleration for Incompressible Flows. Key Words: incompressible flows, Euler equation, Navier-Stokes equation, self-acceleration Bol. Soc. Paran. Mat. (3s.) v. 31 2 (213): 149 159. c SPM ISSN-2175-1188 on line ISSN-378712 in press SPM: www.spm.uem.br/bspm doi:1.5269/bspm.v31i2.1738 An Example of Self Acceleration for Incompressible

More information

ON SINGULAR PERTURBATION OF THE STOKES PROBLEM

ON SINGULAR PERTURBATION OF THE STOKES PROBLEM NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING BANACH CENTER PUBLICATIONS, VOLUME 9 INSTITUTE OF MATHEMATICS POLISH ACADEMY OF SCIENCES WARSZAWA 994 ON SINGULAR PERTURBATION OF THE STOKES PROBLEM G. M.

More information

Formulation of the problem

Formulation of the problem TOPICAL PROBLEMS OF FLUID MECHANICS DOI: https://doi.org/.43/tpfm.27. NOTE ON THE PROBLEM OF DISSIPATIVE MEASURE-VALUED SOLUTIONS TO THE COMPRESSIBLE NON-NEWTONIAN SYSTEM H. Al Baba, 2, M. Caggio, B. Ducomet

More information

Variational Assimilation of Discrete Navier-Stokes Equations

Variational Assimilation of Discrete Navier-Stokes Equations Variational Assimilation of Discrete Navier-Stokes Equations Souleymane.Kadri-Harouna FLUMINANCE, INRIA Rennes-Bretagne Atlantique Campus universitaire de Beaulieu, 35042 Rennes, France Outline Discretization

More information

arxiv: v1 [math.ap] 15 Nov 2018

arxiv: v1 [math.ap] 15 Nov 2018 A SMALL SOLID BODY WITH LARGE DENSITY IN A PLANAR FLUID IS NEGLIGIBLE JIAO HE AND DRAGOȘ IFTIMIE arxiv:1811.06344v1 [math.ap] 15 Nov 018 Abstract. In this article, we consider a small rigid body moving

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master Degree in Mechanical Engineering Numerical Heat and Mass Transfer 15-Convective Heat Transfer Fausto Arpino f.arpino@unicas.it Introduction In conduction problems the convection entered the analysis

More information

Week 6 Notes, Math 865, Tanveer

Week 6 Notes, Math 865, Tanveer Week 6 Notes, Math 865, Tanveer. Energy Methods for Euler and Navier-Stokes Equation We will consider this week basic energy estimates. These are estimates on the L 2 spatial norms of the solution u(x,

More information

Euler Equations: local existence

Euler Equations: local existence Euler Equations: local existence Mat 529, Lesson 2. 1 Active scalars formulation We start with a lemma. Lemma 1. Assume that w is a magnetization variable, i.e. t w + u w + ( u) w = 0. If u = Pw then u

More information

INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES

INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES A rigorous derivation of the stationary compressible Reynolds equation via the Navier Stokes equations Ionel S. Ciuperca Eduard Feireisl Mohammed

More information

LEAST-SQUARES FINITE ELEMENT MODELS

LEAST-SQUARES FINITE ELEMENT MODELS LEAST-SQUARES FINITE ELEMENT MODELS General idea of the least-squares formulation applied to an abstract boundary-value problem Works of our group Application to Poisson s equation Application to flows

More information

MTH310 EXAM 2 REVIEW

MTH310 EXAM 2 REVIEW MTH310 EXAM 2 REVIEW SA LI 4.1 Polynomial Arithmetic and the Division Algorithm A. Polynomial Arithmetic *Polynomial Rings If R is a ring, then there exists a ring T containing an element x that is not

More information

TD 1: Hilbert Spaces and Applications

TD 1: Hilbert Spaces and Applications Université Paris-Dauphine Functional Analysis and PDEs Master MMD-MA 2017/2018 Generalities TD 1: Hilbert Spaces and Applications Exercise 1 (Generalized Parallelogram law). Let (H,, ) be a Hilbert space.

More information

Bernoulli problem for rough domains

Bernoulli problem for rough domains Bernoulli problem for rough domains François Bouchon, Laurent Chupin To cite this version: François Bouchon, Laurent Chupin. Bernoulli problem for rough domains. Methods and Applications of Analysis, International

More information

The effective slip length and vortex formation in laminar flow over a rough surface

The effective slip length and vortex formation in laminar flow over a rough surface The effective slip length and vortex formation in laminar flow over a rough surface Anoosheh Niavarani and Nikolai V. Priezjev Movies and preprints @ http://www.egr.msu.edu/~niavaran A. Niavarani and N.V.

More information

Ensemble averaged dynamic modeling. By D. Carati 1,A.Wray 2 AND W. Cabot 3

Ensemble averaged dynamic modeling. By D. Carati 1,A.Wray 2 AND W. Cabot 3 Center for Turbulence Research Proceedings of the Summer Program 1996 237 Ensemble averaged dynamic modeling By D. Carati 1,A.Wray 2 AND W. Cabot 3 The possibility of using the information from simultaneous

More information

TD M1 EDP 2018 no 2 Elliptic equations: regularity, maximum principle

TD M1 EDP 2018 no 2 Elliptic equations: regularity, maximum principle TD M EDP 08 no Elliptic equations: regularity, maximum principle Estimates in the sup-norm I Let be an open bounded subset of R d of class C. Let A = (a ij ) be a symmetric matrix of functions of class

More information

INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES. Note on the fast decay property of steady Navier-Stokes flows in the whole space

INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES. Note on the fast decay property of steady Navier-Stokes flows in the whole space INSTITUTE OF MATHEMATICS THE CZECH ACADEMY OF SCIENCES Note on the fast decay property of stea Navier-Stokes flows in the whole space Tomoyuki Nakatsuka Preprint No. 15-017 PRAHA 017 Note on the fast

More information

On nonlinear instability of Prandtl s boundary layers: the case of Rayleigh s stable shear flows

On nonlinear instability of Prandtl s boundary layers: the case of Rayleigh s stable shear flows On nonlinear instability of Prandtl s boundary layers: the case of Rayleigh s stable shear flows Emmanuel Grenier Toan T. Nguyen June 4, 217 Abstract In this paper, we study Prandtl s boundary layer asymptotic

More information

COUNTEREXAMPLES TO THE COARSE BAUM-CONNES CONJECTURE. Nigel Higson. Unpublished Note, 1999

COUNTEREXAMPLES TO THE COARSE BAUM-CONNES CONJECTURE. Nigel Higson. Unpublished Note, 1999 COUNTEREXAMPLES TO THE COARSE BAUM-CONNES CONJECTURE Nigel Higson Unpublished Note, 1999 1. Introduction Let X be a discrete, bounded geometry metric space. 1 Associated to X is a C -algebra C (X) which

More information

Proof of the existence (by a contradiction)

Proof of the existence (by a contradiction) November 6, 2013 ν v + (v )v + p = f in, divv = 0 in, v = h on, v velocity of the fluid, p -pressure. R n, n = 2, 3, multi-connected domain: (NS) S 2 S 1 Incompressibility of the fluid (divv = 0) implies

More information

Investigating platelet motion towards vessel walls in the presence of red blood cells

Investigating platelet motion towards vessel walls in the presence of red blood cells Investigating platelet motion towards vessel walls in the presence of red blood cells (Complex Fluids in Biological Systems) Lindsay Crowl and Aaron Fogelson Department of Mathematics University of Utah

More information

Feedback Control of Turbulent Wall Flows

Feedback Control of Turbulent Wall Flows Feedback Control of Turbulent Wall Flows Dipartimento di Ingegneria Aerospaziale Politecnico di Milano Outline Introduction Standard approach Wiener-Hopf approach Conclusions Drag reduction A model problem:

More information

PART IV Spectral Methods

PART IV Spectral Methods PART IV Spectral Methods Additional References: R. Peyret, Spectral methods for incompressible viscous flow, Springer (2002), B. Mercier, An introduction to the numerical analysis of spectral methods,

More information

Divergence-free Wavelets for Navier-Stokes

Divergence-free Wavelets for Navier-Stokes Divergence-free Wavelets for Navier-Stokes Erwan Deriaz, Valérie Perrier To cite this version: Erwan Deriaz, Valérie Perrier. Divergence-free Wavelets for Navier-Stokes. 17 - M. novembre 4. 5.

More information

Contractive metrics for scalar conservation laws

Contractive metrics for scalar conservation laws Contractive metrics for scalar conservation laws François Bolley 1, Yann Brenier 2, Grégoire Loeper 34 Abstract We consider nondecreasing entropy solutions to 1-d scalar conservation laws and show that

More information

CALCULUS JIA-MING (FRANK) LIOU

CALCULUS JIA-MING (FRANK) LIOU CALCULUS JIA-MING (FRANK) LIOU Abstract. Contents. Power Series.. Polynomials and Formal Power Series.2. Radius of Convergence 2.3. Derivative and Antiderivative of Power Series 4.4. Power Series Expansion

More information

Decay in Time of Incompressible Flows

Decay in Time of Incompressible Flows J. math. fluid mech. 5 (23) 231 244 1422-6928/3/3231-14 c 23 Birkhäuser Verlag, Basel DOI 1.17/s21-3-79-1 Journal of Mathematical Fluid Mechanics Decay in Time of Incompressible Flows Heinz-Otto Kreiss,

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

Representation of the polar cone of convex functions and applications

Representation of the polar cone of convex functions and applications Representation of the polar cone of convex functions and applications G. Carlier, T. Lachand-Robert October 23, 2006 version 2.1 Abstract Using a result of Y. Brenier [1], we give a representation of the

More information

Two-scale homogenization of a hydrodynamic Elrod-Adams model

Two-scale homogenization of a hydrodynamic Elrod-Adams model March 2004 1 Two-scale homogenization of a hydrodynamic Elrod-Adams model G. Bayada MAPLY CNRS UMR-5585 / LAMCOS CNRS UMR-5514, INSA Lyon, 69621 Villeurbanne cedex, France S. Martin MAPLY CNRS UMR-5585,

More information

Navier-Stokes equations in thin domains with Navier friction boundary conditions

Navier-Stokes equations in thin domains with Navier friction boundary conditions Navier-Stokes equations in thin domains with Navier friction boundary conditions Luan Thach Hoang Department of Mathematics and Statistics, Texas Tech University www.math.umn.edu/ lhoang/ luan.hoang@ttu.edu

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

Markov processes Course note 2. Martingale problems, recurrence properties of discrete time chains.

Markov processes Course note 2. Martingale problems, recurrence properties of discrete time chains. Institute for Applied Mathematics WS17/18 Massimiliano Gubinelli Markov processes Course note 2. Martingale problems, recurrence properties of discrete time chains. [version 1, 2017.11.1] We introduce

More information

Influence of wall roughness on the slip behavior of viscous fluids

Influence of wall roughness on the slip behavior of viscous fluids Influence of wall roughness on the slip behavior of viscous fluids Dorin Bucur Eduard Feireisl Šárka Nečasová Laboratoire de Mathématiques, CNRS UMR 5127, Université de Savoie Campus Scientifique, 73376

More information

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

MATHEMATICAL JUSTIFICATION OF A SHALLOW WATER MODEL

MATHEMATICAL JUSTIFICATION OF A SHALLOW WATER MODEL METHODS AND APPLICATIONS OF ANALYSIS. c 7 International Press Vol. 14, No., pp. 87 118, June 7 1 MATHEMATICAL JUSTIFICATION OF A SHALLOW WATER MODEL DIDIER BRESCH AND PASCAL NOBLE Abstract. The shallow

More information

2 Ben Schweizer As Hocking describes in [5], a discussion focused on the following question: Can one assume that the dynamic contact angle is a consta

2 Ben Schweizer As Hocking describes in [5], a discussion focused on the following question: Can one assume that the dynamic contact angle is a consta A well-posed model for dynamic contact angles Ben Schweizer February 27, 1998 Abstract We consider uid systems with a free boundary and with a point of contact of the free boundary with a solid wall. We

More information

Sobolev Spaces. Chapter 10

Sobolev Spaces. Chapter 10 Chapter 1 Sobolev Spaces We now define spaces H 1,p (R n ), known as Sobolev spaces. For u to belong to H 1,p (R n ), we require that u L p (R n ) and that u have weak derivatives of first order in L p

More information

Decay profiles of a linear artificial viscosity system

Decay profiles of a linear artificial viscosity system Decay profiles of a linear artificial viscosity system Gene Wayne, Ryan Goh and Roland Welter Boston University rwelter@bu.edu July 2, 2018 This research was supported by funding from the NSF. Roland Welter

More information

UNIVERSITY OF EAST ANGLIA

UNIVERSITY OF EAST ANGLIA UNIVERSITY OF EAST ANGLIA School of Mathematics May/June UG Examination 2007 2008 FLUIDS DYNAMICS WITH ADVANCED TOPICS Time allowed: 3 hours Attempt question ONE and FOUR other questions. Candidates must

More information

L 3, -Solutions to the Navier-Stokes Equations and Backward Uniqueness

L 3, -Solutions to the Navier-Stokes Equations and Backward Uniqueness L 3, -Solutions to the Navier-Stokes Equations and Backward Uniqueness L. Escauriaza, G. Seregin, V. Šverák Dedicated to Olga Alexandrovna Ladyzhenskaya Abstract We show that L 3, -solutions to the Cauchy

More information

Getting started: CFD notation

Getting started: CFD notation PDE of p-th order Getting started: CFD notation f ( u,x, t, u x 1,..., u x n, u, 2 u x 1 x 2,..., p u p ) = 0 scalar unknowns u = u(x, t), x R n, t R, n = 1,2,3 vector unknowns v = v(x, t), v R m, m =

More information

Asymptotics and stability for global solutions to the Navier-Stokes equations

Asymptotics and stability for global solutions to the Navier-Stokes equations Asymptotics and stability for global solutions to the Navier-Stokes equations Isabelle Gallagher a Drago³ Iftimie a,b Fabrice Planchon c Abstract We consider an a priori global strong solution to the Navier-Stokes

More information

Stochastic homogenization 1

Stochastic homogenization 1 Stochastic homogenization 1 Tuomo Kuusi University of Oulu August 13-17, 2018 Jyväskylä Summer School 1 Course material: S. Armstrong & T. Kuusi & J.-C. Mourrat : Quantitative stochastic homogenization

More information

Existence, uniqueness and non-regularity of the solution to the Neumann problem for the mono-dimensional compressible Reynolds equation

Existence, uniqueness and non-regularity of the solution to the Neumann problem for the mono-dimensional compressible Reynolds equation Mathematical Communications 12(27), 95-1 95 Existence, uniqueness and non-regularity of the solution to the Neumann problem for the mono-dimensional compressible Reynolds equation Sanja Marušić Abstract.

More information

Pressure jump interface law for the Stokes-Darcy coupling: Confirmation by direct numerical simulations

Pressure jump interface law for the Stokes-Darcy coupling: Confirmation by direct numerical simulations Under consideration for publication in J. Fluid Mech. Pressure jump interface law for the Stokes-Darcy coupling: Confirmation by direct numerical simulations C a r r a r o T., G o l l C., M a r c i n i

More information

Note on the analysis of Orr-Sommerfeld equations and application to boundary layer stability

Note on the analysis of Orr-Sommerfeld equations and application to boundary layer stability Note on the analysis of Orr-Sommerfeld equations and application to boundary layer stability David Gerard-Varet Yasunori Maekawa This note is about the stability of Prandtl boundary layer expansions, in

More information

Irrationality exponent and rational approximations with prescribed growth

Irrationality exponent and rational approximations with prescribed growth Irrationality exponent and rational approximations with prescribed growth Stéphane Fischler and Tanguy Rivoal June 0, 2009 Introduction In 978, Apéry [2] proved the irrationality of ζ(3) by constructing

More information

Homogenization in Elasticity

Homogenization in Elasticity uliya Gorb November 9 13, 2015 uliya Gorb Homogenization of Linear Elasticity problem We now study Elasticity problem in Ω ε R 3, where the domain Ω ε possess a periodic structure with period 0 < ε 1 and

More information

Candidates must show on each answer book the type of calculator used. Only calculators permitted under UEA Regulations may be used.

Candidates must show on each answer book the type of calculator used. Only calculators permitted under UEA Regulations may be used. UNIVERSITY OF EAST ANGLIA School of Mathematics May/June UG Examination 2011 2012 FLUID DYNAMICS MTH-3D41 Time allowed: 3 hours Attempt FIVE questions. Candidates must show on each answer book the type

More information

On Smoothness of Suitable Weak Solutions to the Navier-Stokes Equations

On Smoothness of Suitable Weak Solutions to the Navier-Stokes Equations On Smoothness of Suitable Weak Solutions to the Navier-Stokes Equations G. Seregin, V. Šverák Dedicated to Vsevolod Alexeevich Solonnikov Abstract We prove two sufficient conditions for local regularity

More information

Constrained Leja points and the numerical solution of the constrained energy problem

Constrained Leja points and the numerical solution of the constrained energy problem Journal of Computational and Applied Mathematics 131 (2001) 427 444 www.elsevier.nl/locate/cam Constrained Leja points and the numerical solution of the constrained energy problem Dan I. Coroian, Peter

More information

Asymptotic analysis of the glass fibres shape

Asymptotic analysis of the glass fibres shape Lecture at the CIME-EMS School Mathematical models in the manufacturing of glass, polymers and textiles, Montecatini Terme, Italy, September 10, 2008 p. 1/5 Asymptotic analysis of the glass fibres shape

More information

Mixed exterior Laplace s problem

Mixed exterior Laplace s problem Mixed exterior Laplace s problem Chérif Amrouche, Florian Bonzom Laboratoire de mathématiques appliquées, CNRS UMR 5142, Université de Pau et des Pays de l Adour, IPRA, Avenue de l Université, 64000 Pau

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

On 2 d incompressible Euler equations with partial damping.

On 2 d incompressible Euler equations with partial damping. On 2 d incompressible Euler equations with partial damping. Wenqing Hu 1. (Joint work with Tarek Elgindi 2 and Vladimir Šverák 3.) 1. Department of Mathematics and Statistics, Missouri S&T. 2. Department

More information

Dangerous and Illegal Operations in Calculus Do we avoid differentiating discontinuous functions because it s impossible, unwise, or simply out of

Dangerous and Illegal Operations in Calculus Do we avoid differentiating discontinuous functions because it s impossible, unwise, or simply out of Dangerous and Illegal Operations in Calculus Do we avoid differentiating discontinuous functions because it s impossible, unwise, or simply out of ignorance and fear? Despite the risks, many natural phenomena

More information

u(0) = u 0, u(1) = u 1. To prove what we want we introduce a new function, where c = sup x [0,1] a(x) and ɛ 0:

u(0) = u 0, u(1) = u 1. To prove what we want we introduce a new function, where c = sup x [0,1] a(x) and ɛ 0: 6. Maximum Principles Goal: gives properties of a solution of a PDE without solving it. For the two-point boundary problem we shall show that the extreme values of the solution are attained on the boundary.

More information

Theoretical and numerical results for a chemo-repulsion model with quadratic production

Theoretical and numerical results for a chemo-repulsion model with quadratic production Theoretical and numerical results for a chemo-repulsion model with quadratic production F. Guillén-Gonzalez, M. A. Rodríguez-Bellido & and D. A. Rueda-Gómez Dpto. Ecuaciones Diferenciales y Análisis Numérico

More information

Variable Exponents Spaces and Their Applications to Fluid Dynamics

Variable Exponents Spaces and Their Applications to Fluid Dynamics Variable Exponents Spaces and Their Applications to Fluid Dynamics Martin Rapp TU Darmstadt November 7, 213 Martin Rapp (TU Darmstadt) Variable Exponent Spaces November 7, 213 1 / 14 Overview 1 Variable

More information

SINGULAR PERTURBATION PROBLEM FOR THE INCOMPRESSIBLE REYNOLDS EQUATION

SINGULAR PERTURBATION PROBLEM FOR THE INCOMPRESSIBLE REYNOLDS EQUATION Electronic Journal of Differential Equations, Vol. 20062006), No. 83, pp. 1 19. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu login: ftp) SINGULAR

More information

UCLA Chemical Engineering. Process & Control Systems Engineering Laboratory

UCLA Chemical Engineering. Process & Control Systems Engineering Laboratory Constrained Innite-Time Nonlinear Quadratic Optimal Control V. Manousiouthakis D. Chmielewski Chemical Engineering Department UCLA 1998 AIChE Annual Meeting Outline Unconstrained Innite-Time Nonlinear

More information

Phenomena in high dimensions in geometric analysis, random matrices, and computational geometry Roscoff, France, June 25-29, 2012

Phenomena in high dimensions in geometric analysis, random matrices, and computational geometry Roscoff, France, June 25-29, 2012 Phenomena in high dimensions in geometric analysis, random matrices, and computational geometry Roscoff, France, June 25-29, 202 BOUNDS AND ASYMPTOTICS FOR FISHER INFORMATION IN THE CENTRAL LIMIT THEOREM

More information

PDEs in Image Processing, Tutorials

PDEs in Image Processing, Tutorials PDEs in Image Processing, Tutorials Markus Grasmair Vienna, Winter Term 2010 2011 Direct Methods Let X be a topological space and R: X R {+ } some functional. following definitions: The mapping R is lower

More information

Ordinary Differential Equations II

Ordinary Differential Equations II Ordinary Differential Equations II February 23 2017 Separation of variables Wave eq. (PDE) 2 u t (t, x) = 2 u 2 c2 (t, x), x2 c > 0 constant. Describes small vibrations in a homogeneous string. u(t, x)

More information

Properties of some nonlinear partial dynamic equations on time scales

Properties of some nonlinear partial dynamic equations on time scales Malaya Journal of Matematik 4)03) 9 Properties of some nonlinear partial dynamic equations on time scales Deepak B. Pachpatte a, a Department of Mathematics, Dr. Babasaheb Ambedekar Marathwada University,

More information

Separation for the stationary Prandtl equation

Separation for the stationary Prandtl equation Separation for the stationary Prandtl equation Anne-Laure Dalibard (UPMC) with Nader Masmoudi (Courant Institute, NYU) February 13th-17th, 217 Dynamics of Small Scales in Fluids ICERM, Brown University

More information

ISABELLE GALLAGHER AND MARIUS PAICU

ISABELLE GALLAGHER AND MARIUS PAICU REMARKS ON THE BLOW-UP OF SOLUTIONS TO A TOY MODEL FOR THE NAVIER-STOKES EQUATIONS ISABELLE GALLAGHER AND MARIUS PAICU Abstract. In [14], S. Montgomery-Smith provides a one dimensional model for the three

More information

VORTICITY LAYERS OF THE 2D NAVIER-STOKES EQUATIONS WITH A SLIP TYPE BOUNDARY CONDITION

VORTICITY LAYERS OF THE 2D NAVIER-STOKES EQUATIONS WITH A SLIP TYPE BOUNDARY CONDITION VORTICITY LAYERS OF THE 2D NAVIER-STOKES EQUATIONS WITH A SLIP TYPE BOUNDARY CONDITION GUNG-MIN GIE 1 AND CHANG-YEOL JUNG 2 Abstract. We study the asymptotic behavior, at small viscosity ε, of the Navier-

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

C.7. Numerical series. Pag. 147 Proof of the converging criteria for series. Theorem 5.29 (Comparison test) Let a k and b k be positive-term series

C.7. Numerical series. Pag. 147 Proof of the converging criteria for series. Theorem 5.29 (Comparison test) Let a k and b k be positive-term series C.7 Numerical series Pag. 147 Proof of the converging criteria for series Theorem 5.29 (Comparison test) Let and be positive-term series such that 0, for any k 0. i) If the series converges, then also

More information

Recall that the Fourier transform (also known as characteristic function) of a random variable always exists, given by. e itx f(x)dx.

Recall that the Fourier transform (also known as characteristic function) of a random variable always exists, given by. e itx f(x)dx. I am going to talk about algebraic calculations of random variables: i.e. how to add, subtract, multiply, divide random variables. A main disadvantage is that complex analysis is used often, but I will

More information