Homogenization of Stokes Systems with Periodic Coefficients

Size: px
Start display at page:

Download "Homogenization of Stokes Systems with Periodic Coefficients"

Transcription

1 University of Kentucky UKnowledge Theses and Dissertations--Mathematics Mathematics 2016 Homogenization of Stokes Systems with Periodic Coefficients Shu Gu University of Kentucky, Digital Object Identifier: Click here to let us know how access to this document benefits you. Recommended Citation Gu, Shu, "Homogenization of Stokes Systems with Periodic Coefficients" (2016). Theses and Dissertations--Mathematics This Doctoral Dissertation is brought to you for free and open access by the Mathematics at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Mathematics by an authorized administrator of UKnowledge. For more information, please contact

2 STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each thirdparty copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royaltyfree license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. I agree that the document mentioned above may be made available immediately for worldwide access unless an embargo applies. I retain all other ownership rights to the copyright of my work. I also retain the right to use in future works (such as articles or books) all or part of my work. I understand that I am free to register the copyright to my work. REVIEW, APPROVAL AND ACCEPTANCE The document mentioned above has been reviewed and accepted by the student s advisor, on behalf of the advisory committee, and by the Director of Graduate Studies (DGS), on behalf of the program; we verify that this is the final, approved version of the student s thesis including all changes required by the advisory committee. The undersigned agree to abide by the statements above. Shu Gu, Student Dr. Zhongwei Shen, Major Professor Dr. Peter Hislop, Director of Graduate Studies

3 Homogenization of Stokes Systems with Periodic Coefficients DISSERTATION A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the College of Arts and Sciences at the University of Kentucky By Shu Gu Lexington, Kentucky Director: Dr. Zhongwei Shen, Professor of Mathematics Lexington, Kentucky 2016 Copyright c Shu Gu 2016

4 ABSTRACT OF DISSERTATION Homogenization of Stokes Systems with Periodic Coefficients In this dissertation we study the quantitative theory in homogenization of Stokes systems. We study uniform regularity estimates for a family of Stokes systems with rapidly oscillating periodic coefficients. We establish interior Lipschitz estimates for the velocity and L estimates for the pressure as well as Liouville property for solutions in R d. We are able to obtain the boundary W 1,p estimates in a bounded C 1 domain for any 1 < p <. We also study the convergence rates in L 2 and H 1 of Dirichlet and Neumann problems for Stokes systems with rapidly oscillating periodic coefficients, without any regularity assumptions on the coefficients. KEYWORDS: Homogenization, Stokes systems, convergence rates, uniform regularity, Dirichlet problem, Neumann problem Author s signature: Shu Gu Date: July 25, 2016

5 Homogenization of Stokes Systems with Periodic Coefficients By Shu Gu Director of Dissertation: Director of Graduate Studies: Zhongwei Shen Peter Hislop Date: July 25, 2016

6 Dedicated to Jing Wei

7 ACKNOWLEDGMENTS My utmost thanks and deepest gratitude go to my advisor Professor Zhongwei Shen for his enormous patience, guidance, suggestions and encouragement during my Ph.D. years, without which the work would not be possible. His immense knowledge, enthusiasm and work ethic have influenced me remarkably and will continue to guide me throughout my life. Living in a different country was never easy, I am extremely grateful to Professor Shen and his wife Mrs. Liping Peng for their kindness and loads of invitations to their home. I extend my genuine thanks and gratitude to Professor John Lewis, Professor Russell Brown, Professor Yuan Liao and Professor Dong-Sheng Yang for helpful comments and for serving on my thesis committee. Special thanks go to Professor Russell Brown for his teaching of Real Analysis and Harmonic analysis, holding secret seminars, and for generous support throughout my graduate studies. I would like to Professor Qiang Ye and Professor Qun He for all their invaluable advise and help at various stages of my mathematical education. Most of all, I wish to thank my wife, Jing Wei. Her tremendous love and support have always been my guiding light. Finally, I thank my parents for their constant encouragement and support. iii

8 TABLE OF CONTENTS Acknowledgments Table of Contents iii iv Chapter 1 Introduction and Main Results Chapter 2 Notations and Definitions Notations Smoothing in Steklov s sense Chapter 3 Preliminaries Homogenization Theory of Stokes Systems Asymptotic Expansions Compactness Theorem Homogenization for Neumann problems Chapter 4 Convergence Rates of Dirichlet Problems in Homogenization of Stokes Systems Introduction Convergence rates for u ε in H Convergence rates for the pressure term Convergence rates for u ε in L Chapter 5 Convergence Rates of Neumann Problems in Homogenization of Stokes Systems Introduction Convergence rates for u ε in H Convergence rates of the pressure term Convergence rates for u ε in L Chapter 6 Uniform Regularity Estimates in Homogenization of Stokes Systems Introduction Interior Lipschitz estimates for u ε A Liouville property for Stokes systems L estimates for p ε and proof of Theorem Boundary Hölder estimates Interior W 1,p estimates Uniform Boundary W 1,p estimates and Proof of Theorem Bibliography Vita iv

9 Chapter 1 Introduction and Main Results The theory of homogenization was introduced in part to describe the behavior of composite materials in mechanics, physics, chemistry and engineering. Composite materials are usually characterized by two scales, the microscopic one, describing the heterogeneities, and the macroscopic one, describing the global behavior of the composite. In a composite, the heterogeneities are small compared to its global dimension, while from the macroscopic points of view, the composite looks like a homogeneous material. The intent of homogenization theory is to replace the microscopically heterogeneous material by a homogenized material, whose global characteristics are a good approximation of the initial ones. In the study of boundary value problems in media with periodic structure, if the period of the structure is small compared to the size of the region in which the system is to be studied, we will use a small parameter ε to denote the ratio of the period of the structure to a typical length in the region. In mathematics terms, a family of partial differential operators L ε with rapidly oscillating coefficients, depending on the small parameter ε, is given. In a domain, we have a boundary value problem { L ε (u ε ) = F in, u ε subject to appropriate boundary conditions. Homogenization theory has shown that u ε converges to u 0 as ε 0 (with suitable definition of weak type convergence), where u 0 is the solution of { L 0 (u 0 ) = F in, u 0 subject to the same kind of boundary conditions, where L 0 is a partial differential operator with constant coefficients, which is called the homogenized operator of the family L ε. Specifically in qualitative homogenization theory, for the standard elliptic system div(a(x/ε) u ε ) = F in a bounded domain in R d, the proof of homogenization theorem was first obtained by De Diorgi and Spagnolo [16 18,53,54]. Here A(y) is a matrix with periodic measurable coefficients satisfying ellipticity condition. Shortly thereafter, Bakhvalov [8,9] and then Lions [10,40] established the same result based on method of asymptotic expansions. Another approach to the homogenization theory, based on compensated compactness, was developed by Murat [43] and Tartar [57]. 1

10 Quantitative homogenization has been studied extensively in recent years, given these qualitative results in homogenization for various types of equations with various boundary conditions. There are two main and natural tasks in quantitative homogenization theory, 1. uniform regularity estimates of solutions, which are independent of the small parameter ε; 2. sharp convergence rates, which describe the speed of convergence. Uniform Regularity Estimates For uniform regularity estimates, we consider a family of standard second-order elliptic operator L ε in divergence form with rapidly oscillating coefficients, which are defined by L ε = div(a(x/ε) ) = x i [ a αβ ij ( x ε ) x j ], ε > 0. (1.0.1) with 1 i, j, α, β d, the summation convention is used throughout this thesis. The study of uniform regularity estimates in homogenization theory was initiated by M. Avellaneda and F. Lin in In a series of paper [3 7] from 1987 to 1991, Avellaneda and Lin established interior and boundary Lipschitz estimates and also W 1,p estimates for the standard elliptic system L ε (u ε ) = F with Dirichlet boundary condition u ε = g on for C 1,α domains, assuming the coefficient matrix A is elliptic, periodic and Hölder continuous. The approach called compactness method was used in [3] to prove Lipschitz estimates. We should mention that the Lipschitz estimates are sharp; in fact, even with C data, one cannot expect high-order uniform estimates for u ε, since u ε converges to u 0 only weakly. For standard second-order elliptic system L ε (u ε ) = F with Neumann boundary condition uε ν ε = g, Lipschitz estimates has been a longstanding open problem, as the boundary conditions are ε-dependent. It was only until in 2013, in [34] C. Kenig, F. Lin and Z. Shen were able to extend the boundary Lipschitz estimates to Neumann problems in C 1,α domains, with additional symmetry condition A = A. The breakthrough is based on the Rellich estimates obtained in [36,37] and nontangential maximal function estimates in [34]. Sharp W 1,p estimates for Neumann problem were also obtained. The symmetry condition was recently removed by S. Armstrong and Z. Shen. In [1], the uniform Lipschitz estimates and W 1,p estimates in C 1,α were obtained 2

11 for second-order elliptic system in divergence form with rapidly oscillating, almostperiodic coefficients, with either Dirichlet or Neumann data. In contrast to papers [3,34], the results were proved through constructive arguments, and thus the constants are in principle computable. In this thesis, we study the uniform regularity estimates for a family of Stokes systems with rapidly oscillating periodic coefficients. We establish interior Lipschitz estimates for the velocity and L estimates for the pressure as well as a Liouville property for solutions in R d. We also obtain the boundary W 1,p estimates in a bounded C 1 domain for any 1 < p <. More precisely, we consider the Stokes systems in fluid dynamics, { Lε (u ε ) + p ε = F, div(u ε ) = g, (1.0.2) in a bounded domain in R d, where ε > 0 and L ε is defined in (1.0.1). We will assume that the coefficient matrix A(y) = (a αβ ij (y)) is real, bounded measurable, satisfies the ellipticity condition: µ ξ 2 a αβ ij (y)ξα i ξ β j 1 µ ξ 2, for y R d and ξ = (ξ α i ) R d d, (1.0.3) where µ > 0, and the periodicity condition: A(y + z) = A(y) for y R d and z Z d. (1.0.4) We note that the system (1.0.2), which does not fit the standard framework of secondorder elliptic systems considered in [3,34], is used in the modeling of flows in porous media. The following is one of the main results we obtained in [30]. Theorem Suppose that A(y) satisfies the ellipticity condition (1.0.3) and periodicity condition (1.0.4). Let (u ε, p ε ) be a weak solution of the Stokes system (1.0.2) in B(x 0, R) for some x 0 R d and R > ε. Then, for any ε r < R, ( ) 1/2 ( ) 1/2 u ε 2 + p ε p ε 2 B(x 0,r) B(x 0,r) B(x 0,R) {( ) 1/2 C u ε 2 + g L (B(x 0,R)) + R ρ [g] C 0,ρ (B(x 0,R)) B(x 0,R) ( ) 1/q + CR F }, q B(x 0,R) (1.0.5) where 0 < ρ = 1 d q < 1, and the constant C depends only on d, µ, and ρ. 3

12 The scaling-invariant estimate (1.0.5) should be regarded as a Lipschitz estimate for the velocity and L estimate for the pressure down to the microscopic scale ε, even though no smoothness assumption is made on the coefficients A(y). In [30], we also obtain the following boundary W 1,p estimates. Theorem Let be a bounded C 1 domain in R d and 1 < q <. Suppose that A satisfies ellipticity (1.0.3) and periodicity (1.0.4) conditions. Also assume that A VMO(R d ). Let f = (f α i ) L q (; R d d ), g L q () and h B 1 1 q,q ( ; R d ) satisfy the compatibility condition g h n = 0, where n denotes the outward unit normal to. W 1,q (; R d ) L q () to Dirichlet problem L ε (u ε ) + p ε = div(f) in, div(u ε ) = g in, u ε = h on, satisfy the estimate u ε L q () + p ε where C q depends only on d, µ, A, and. Then the solutions (u ε, p ε ) in (1.0.6) { } p ε L q () C q f L q () + g L q () + h 1 1, (1.0.7) B q,q ( ) Sharp Convergence Rates As for the second task concerning sharp convergence rates, the primary purpose is to establish the optimal rate of convergence of solution u ε to homogenized solution u 0 in L 2 (; R d ) for both Dirichlet and Neumann problems. For Dirichlet problems, consider the scalar elliptic equation L ε (u ε ) = F in a Lipschitz domain with Dirichlet condition u ε = f on. By energy estimates and maximum principle, it is well known that u ε u 0 L 2 () Cε { 2 u 0 L 2 () + u 0 L ( )}. More recently, using the method of periodic unfolding, Griso [26, 27] was able to establish the much sharper estimate u ε u 0 L 2 () Cε u 0 H 2 (). (1.0.8) In the case of elliptic systems, the estimates (1.0.8) continue to hold under the additional assumption that A is Hölder continuous. The approach was based on the 4

13 uniform regularity estimates established in [3, 37] and do not apply to operators with bounded measurable coefficients. Recently, by using the Steklov smoothing operator, T.A. Suslina [55] was able to establish the O(ε) estimate (1.0.8) in L 2 for a broader class of elliptic operators in C 1,1 domains without any smoothness assumptions on the coefficient matrix A. There are relatively fewer known results for Neumann problems. Consider the Neumann problem for the scalar elliptic equation L ε (u ε ) = F in with uε ν ε = 0 on, the estimate u ε u 0 L 2 () Cε F H 2 () was proved by Griso [27] for C 1,1 domains with bounded measurable coefficients using the periodic unfolding method [14, 15]. The same result was also proved by Moskow and Vogelius [42] for curvilinear convex polygons in R 2. For the system case, consider elliptic systems L ε (u ε ) = F in with Neumann condition uε ν ε = g on, C. Kenig, F. Lin and Z. Shen [32] have shown that the estimate (1.0.8) holds in bounded Lipschitz domain, under additional assumption that A is Hölder continuous. Also recently, by using the Steklov smoothing operator, T. A. Suslina [56] was able to eliminate the smoothness condition on coefficients to establish the O(ε) estimate (1.0.8) in L 2 for a broader class of elliptic operators with Neumann data. In this thesis, we study the convergence rates in L 2 and H 1 of both Dirichlet and Neumann problems for Stokes systems with rapidly oscillating periodic coefficients in C 1,1 domains, without any smoothness assumptions on the coefficients. More precisely, by the homogenization theory of Stokes systems (see [10, 30]), under suitable conditions on F, g and h, suppose (u ε, p ε ) is a weak solution of Stokes system (1.0.2) with either Dirichlet u ε = h or Neumann uε ν ε p ε n = h boundary conditions on, it is known that u ε u 0 weakly in H 1 (; R d ) and p ε p ε p 0 p 0 weakly in L 2 (), where (u 0, p 0 ) H 1 (; R d ) L 2 () is the weak solution of the homogenized problem with constant coefficients, { L0 (u 0 ) + p 0 = F, in, div(u 0 ) = g, in, (1.0.9) satisfying the same Dirichlet u 0 = h or Neumann u 0 ν 0 p 0 n = h boundary condition on. Our primary purpose is to study the rate of convergence u ε u 0 L 2 () as ε 0. The following is the main result for Dirichlet problem we obtained in [28]. 5

14 Theorem Let be a bounded C 1,1 domain. Suppose that A satisfies the ellipticity condition (1.0.3) and periodicity condition (1.0.4). Given g H 1 () and h H 3/2 ( ; R d ) satisfying the Dirichlet compatibility condition g h n = 0, where n denotes the outward unit normal to. For F L 2 (; R d ), let (u ε, p ε ), (u 0, p 0 ) be weak solutions of Stokes systems (1.0.2), (1.0.9) respectively with Dirichlet boundary conditions u ε = u 0 = h on. Then where the constant C depends only on d, µ, and. u ε u 0 L 2 () Cε u 0 H 2 (), (1.0.10) The next theorem is our main result for Neumann problem in [29]. Theorem Let be a bounded C 1,1 domain. Suppose A satisfies ellipticity condition (1.0.3) and periodicity condition (1.0.4). Given F L 2 (; R d ) and h H 1/2 ( ; R d ) satisfying the Neumann compatibility condition F + h = 0, for g H 1 (), let (u ε, p ε ), (u 0, p 0 ) be weak solutions of Stokes systems (1.0.2), (1.0.9) respectively with Neumann boundary conditions uε ν ε p ε n = u 0 ν 0 p 0 n = h.then where the constant C depends only on µ, d, and. u ε u 0 L 2 () Cε u 0 H 2 (), (1.0.11) The organization of this thesis is as follows. Chapter 2 contains notations and definitions that will be used throughout the thesis. Chapter 3 is devoted to the homogenization theory of Stokes systems, including asymptotic expansions and compactness theorem. Our main results described above are presented in Chapter 4-6. In Chapter 4 and Chapter 5, we give the convergence results in L 2 and H 1 of Stokes system with Dirichlet and Neumann boundary conditions, respectively. Chapter 6 deals with uniform regularity estimates in homogenization of Stokes systems. Copyright c Shu Gu,

15 Chapter 2 Notations and Definitions In this chapter we first give basic notations and definitions that will be used throughout this thesis. Then we introduce the Steklov smoothing operator and its properties, as well as a lemma that plays an vital part in the study of convergence rates. 2.1 Notations - 1-periodic function. We call a function f 1-periodic if it satisfies the periodicity condition we defined in (1.0.4), i.e. f(y + z) = f(y) for a.e. y R d and z Z d. - Conormal derivative. We define the conormal derivative of Stokes system (1.0.2) on by ( uε ν ε ) α p ε n α = n i (x)a αβ ij (x/ε) uβ ε x j p ε (x)n α (x), (2.1.1) where n = (n 1,, n d ) is the outward unit normal to. - L 1 -average. We denote the L 1 average of f over the set E by f = 1 f. E - Hölder condition. We call A(y) Hölder continuous, if it satisfies where τ 0 and λ (0, 1]. E E A(x) A(y) τ x y λ for x, y R d, (2.1.2) - Rescaling property of Stokes systems. The technique of rescaling will be used routinely in the rest of the paper. Indeed, if (u ε, p ε ) is a weak solution of Stokes system (1.0.2) and v(x) = u ε (rx), then { L ε r (v) + q = F, div(v) = g, (2.1.3) where and g(x) = rg(rx), F (x) = r 2 F (rx), (2.1.4) q(x) = rp ε (rx). (2.1.5) 7

16 - r-neighborhood of the boundary. For r > 0, we let r and r to denote the r-neighborhood of as r = {x : dist(x, ) r}, r = {x R d : dist(x, ) r}. (2.1.6) k,λ - Hölder Space. The Hölder space C (Ē) consists of all functions u Ck (Ē) for which the norm u C k,λ (Ē) = D α u C( Ē) + [D α u] C 0,λ (Ē) (2.1.7) α k is finite, where the λ-th semi-norm of g is denoted by { } g(x) g(y) [g] C 0,λ (Ē) = sup : x, y x y Ē and x y, (2.1.8) λ α =k and C k (E) denotes the set of functions having all derivatives of order k continuous in E. - BMO Space. A locally integrable function f will be said to belong to BMO(R d ) if the following norm is finite. f BMO = sup f f dx (2.1.9) Q - VMO Space. A function f in BMO(R d ) is said to be VMO(R d ), the space of functions of vanishing mean oscillation, if lim f Q 0 Q 2.2 Smoothing in Steklov s sense Q Q Q f dx = 0. (2.1.10) We will use this section to introduce the Steklov smoothing operator as well as its properties, which play a crucial role in deriving convergence rates in the following chapters. More details about Steklov smoothing operator can be found in the literatures such as [45, 46, 55, 56, 59]. Let S ε be the operator on L 2 (R d ) given by (S ε u)(x) = u(x εz)dz (2.2.1) Y 8

17 and called the Steklov smoothing operator. Note that S ε u L 2 (R d ) u L 2 (R d ). Obviously, D α S ε u = S ε D α u for u H s (R d ) and any multi-index α such that α s. Therefore, S ε u H s (R d ) u H s (R d ). The following are a few properties of Steklov s operator; see [55, 56]. Proposition For any u H 1 (R d ) we have where C depends only on d. S ε u u L 2 (R d ) Cε u L 2 (R d ), For simplicity, we will use the notation f ε (x) = f(x/ε). And we let Y = [0, 1) d. Proposition Let f(x) be a 1-periodic function in R d such that f L 2 (Y ). Then for any u L 2 (R d ), f ε S ε u L 2 (R d ) f L 2 (Y ) u L 2 (R d ). The following lemma gives us an estimate for integrals near the boundary, see [55, 56] for example. Lemma Let R d be a bounded C 1 domain. Then, for any function u H 1 () and for any 0 < r diam(), ( ) 1/2 u 2 dx C r u 1/2 H 1 () u 1/2 L 2 (). (2.2.2) r Moreover, for any 1-periodic function f L 2 (Y ) and u H 1 (R d ), ( ) 1/2 f ε 2 S ε u 2 dx C ε f 1/2 L 2 (Y ) u 1/2 H 1 (R d ) u 1/2, (2.2.3) L 2 (R d ) 2ε where C depends only on and S ε is the Steklov smoothing operator defined in (2.2.1). Copyright c Shu Gu,

18 Chapter 3 Preliminaries In this chapter we will first give a brief introduction to the homogenization theory of Stokes systems, including the definition of correctors and the homogenization theorem. Then we will formally derive the asymptotic expansion of Stokes system, showing the intuition behind the definition of correctors and effective matrices. Then we prove a compactness theorem for a sequence of Stokes systems with periodic coefficient matrices satisfying the ellipticity condition (1.0.3) with the same µ. At last, we will describe the homogenization of Stokes system with Neumann boundary conditions. 3.1 Homogenization Theory of Stokes Systems In this section we will give a review of homogenization theory of Stokes systems with periodic coefficients. We refer the reader to [10, pp.76-81] for a detailed presentation. Let be a bounded Lipschitz domain in R d. For u, v H 1 (; R d ), we define the bilinear form as the following, a ε (u, v) = ( x ) u a αβ β v α ij dx. (3.1.1) ε x j x i For F H 1 (; R d ) and g L 2 (), we say that (u ε, p ε ) H 1 (; R d ) L 2 () is a weak solution of the Stokes system (1.0.2) { Lε (u ε ) + p ε = F, div(u ε ) = g in, if div(u ε ) = g in and for any ϕ C0(; 1 R d ), a ε (u ε, ϕ) p ε div(ϕ) = F, ϕ. The following theorem gives us the existence and uniqueness (up to constants) of weak solution of Stokes system with Dirichlet boundary condition. Theorem Let be a Lipschitz domain in R d. Suppose A satisfies the ellipticity condition (1.0.3). Let F H 1 (; R d ), g L 2 () and h H 1/2 ( ; R d ) satisfy the Dirichlet compatibility condition g 10 h n = 0, (3.1.2)

19 where n is the outward unit normal to. Then there exist a unique u ε H 1 (; R d ) and p ε L 2 () (unique up to constants) such that (u ε, p ε ) is a weak solution of (1.0.2) in and u ε = h on. Moreover, u ε H 1 () + p ε p ε L 2 () C { F H 1 () + h H 1/2 ( ) + g L ()} 2, (3.1.3) where C depends only on d, µ, and. Proof. This theorem is well known and does not use the periodicity condition of A. First, we choose h H 1 (; R d ) such that h = h on and h H 1 () C h H 1/2 ( ). By considering u ε h, we may assume that h = 0. Next, we choose a function U(x) in H 1 0(; R d ) such that div(u) = g in, and U H 1 () C g L 2 (), detailed proof of the existence of such functions can be found in [20]. By considering u ε U, we may further assume that g = 0. Finally, the case h = 0 and g = 0 may be proved by applying the Lax-Milgram Theorem to the bilinear form a ε (u, v) on the Hilbert space This completes the proof. V = {u H 1 0(; R d ) : div(u) = 0 in }. Remark If is C 1,1 and A is a constant matrix, the weak solution (u, p), given by Theorem 3.1.1, is in H 2 (; R d ) H 1 (), provided that F L 2 (; R d ), g H 1 () and h H 3/2 ( ; R d ). Moreover, u H 2 () + p L 2 () C { F L 2 () + g H 1 () + h H 3/2 ( )}, (3.1.4) where C depends only on d, µ, and (see e.g. [24]). Let Y = [0, 1) d. We denote by H 1 per(y ; R d ) the closure in H 1 (Y ; R d ) of C per(y ; R d ), the set of C 1-periodic and R d -valued functions in R d. Let a per (ψ, φ) = a αβ φ α ij (y) ψβ, y j y i Y where φ = (φ α ) and ψ = (ψ α ). By applying the Lax-Milgram Theorem to the bilinear form a per (ψ, φ) on the Hilbert space V per (Y ) = {u H 1 per(y ; R d ) : div(u) = 0 in Y and 11 Y u = 0},

20 it follows that for each 1 j, β d, there exists a unique χ β j V per(y ) such that a per (χ β j, φ) = a per(p β j, φ) for any φ V per(y ) where P β j = P β j (y) = y je β = y j (0,..., 1,..., 0) with 1 in the β th position. As a result, there exist 1-periodic functions (χ β j, πβ j ) H1 loc (Rd ; R d ) L 2 loc (Rd ), which are called the first-order correctors for the Stokes system (1.0.2), such that L 1 (χ β j + P β j ) + πβ j = 0 in Rd div(χ β j ) = 0 in Rd (3.1.5) = 0 and χ β j = 0. π β j Y Y Note that χ β j H 1 (Y ) + π β j L 2 (Y ) C, (3.1.6) where C depends only on d and µ. Let  = (âαβ ij ), where â αβ ij = a per (χ β j + P β j, χα i + P α i ) (3.1.7) The homogenized system for the Stokes system (1.0.2) is given by { L0 (u 0 ) + p 0 = F, div(u 0 ) = g, where L 0 = div(â ) is a second-order elliptic operator with constant coefficients. The constant matrix  is called the homogenized matrix or effective matrix, and satisfies the following two properties. Remark The homogenized matrix  satisfies the ellipticity condition µ ξ 2 â αβ ij ξα i ξ β j µ 1 ξ 2 (3.1.8) for any ξ = (ξ α i ) R d d, where µ 1 depends only on d and µ. The upper bound is a consequence of the estimate χ β j L 2 (Y ) C(d, µ), while the lower bound follows from â αβ ij ξα i ξ β j = a per((χ β j + P β j )ξβ j, (χα i + Pi α )ξi α ) µ (χ α i + Pi α )ξi α 2 Y µ ξ 2. 12

21 Remark Let χ = (χ β j ) denote the matrix of correctors for the system (1.0.2) with A replaced by its adjoint A. Note that by definition, χ β j V per (Y ) and a per(χ β j, φ) = a per(p β j, φ) where a per(ψ, φ) = a per (φ, ψ). It follows that â αβ ij = a per (χ β j + P β j, χα i + P α i ) = a per (χ β j + P β j, P α i ) = a per (χ β j + P β j, χ α i = a per(χ α i + Pi α ) = a per(χ α i + Pi α, χ β j + P β j ) + Pi α, P β j ) = a per(χ α i + Pi α, χ β j + P β j ). (3.1.9) This, in particular, shows that (Â) = Â. Now we are ready to give the following homogenization theorem of Stokes systems with Dirichlet boundary conditions. It shows that the limiting solutions are actually solutions of Stokes system associated with the homogenized operator L 0 with the same Dirichlet boundary condition. Theorem Suppose that A(y) satisfies ellipticity (1.0.3) and periodicity (1.0.4) conditions. Let be a bounded Lipschitz domain. Let (u ε, p ε ) H 1 (; R d ) L 2 () be a weak solution of the following Dirichlet problem of Stokes system L ε (u ε ) + p ε = F in, div(u ε ) = g in, (3.1.10) u ε = h on, where F H 1 (; R d ), g L 2 () and h H 1/2 ( ; R d ) satisfying the Dirichlet compatibility condition (3.1.2). Assume that p ε = 0, then as ε 0, u ε u 0 strongly in L 2 (; R d ), u ε u 0 weakly in H 1 (; R d ), p ε p 0 weakly in L 2 (), A(x/ε) u ε Â u 0 weakly in L 2 (; R d d ). Moreover, p 0 = 0 and (u 0, p 0 ) is the weak solution of the homogenized problem L 0 (u 0 ) + p 0 = F in, div(u 0 ) = g in, (3.1.11) u 0 = h on. Proof. This homogenization theorem of Stokes systems is more or less proved in [10], using Tartar s oscillating testing function method. We therefore omit the details. 13

22 3.2 Asymptotic Expansions In this section we will apply the multi-scale method to the study of Stokes system. As we mentioned earlier, two scales describe the model: the variable x is the macroscopic one, while x/ε describe the microscopic one. Indeed, this suggests looking for a formal asymptotic expansion of solution (u ε, p ε ) in the form: ( u ε (x) = u 0 x, x ) ( + εu 1 x, x ) ( + ε 2 u 2 x, x ) +, ( ε ε ε p ε (x) = p 0 x, x ) ( + εp 1 x, x ) +, ε ε (3.2.1) where the functions u j (x, y), p j (x, y) are defined on Y and 1-periodic in y, for any x. Note that if φ ε (x) = φ(x, y) with y = x/ε, then φ ε (x) = 1 φ (x, x ) + φ (x, x ). x j ε y j ε x j ε Now if we consider the divergence-free Stokes system { Lε (u ε ) + p ε = F, div(u ε ) = 0, (3.2.2) which may now be rewritten as the following [ ] ( (ε 2 L 0 + ε 1 L 1 + ε 0 L 2 )u ε x, x ) + [ ] ( (ε 1 y + x )p ε x, x ) = F, ε ε [ ] ( (ε 1 div y + div x )u ε x, x ) = 0, ε (3.2.3) where the operators L 0, L 1, L 2 are defined by [ L 0 (φ(x, y)) ] ( ) α = a αβ ij y (y) φβ, i y j [ L 1 (φ(x, y)) ] ( ) α = a αβ ij x (y) φβ i y j [ L 2 (φ(x, y)) ] ( ) α = a αβ ij x (y) φβ. i x j y i ( ) a αβ ij (y) φβ, x j We identify the coefficients of the powers ε 2, ε 1, ε 0. This gives the following systems to be solved. As of order O(ε 2 ), we have Of order O(ε 1 ), we have L 0 (u 0 ) = 0, (3.2.4) { L 0 (u 1 ) + y p 0 = L 1 (u 0 ), div y (u 0 ) = 0. (3.2.5) 14

23 And of order O(ε), we obtain { L 0 (u 2 ) + y p 1 = F L 1 (u 1 ) L 2 (u 0 ) x p 0, div y (u 1 ) = div x (u 0 ). (3.2.6) Using the fact that u 0 (x, y) is 1-periodic in y, we may derive from (3.2.4) that u 0 (x, y) is independent of y, i.e., u 0 (x, y) = u 0 (x). (3.2.7) Then (3.2.5) reduces to L 0 (u 1 ) + y p 0 = L 1 (u 0 ). The second condition in (3.2.6) implies [div y (u 1 ) + div x (u 0 )] dy = 0, and since the above integral equals Y div(u 0 ), one has Y div(u 0 ) = 0. (3.2.8) Then the second condition in (3.2.6) is equivalent to div y (u 1 ) = 0; i.e., finally for (u 1, p 0 ), we need to solve the following system (note that L 1 = L 0 ), L 0 (u 1 ) + y p 1 = L 0 (P β j ) uβ 0 x j div y (u 1 ) = 0 (3.2.9) Recalling that the correctors (χ β j, πβ j ) are solution to the cell problem (3.1.5), then the general solution of (3.2.9) is, and u 1 (x, y) = χ β j (y) uβ 0 x j (x) + ũ 1 (x), (3.2.10) p 0 (x, y) = π β j (y) uβ 0 x j (x) + p 0 (x), (3.2.11) where ũ 1 (x) and p 0 (x) are independent of y. We now use the equations (3.2.10) and (3.2.11) in the first equation in (3.2.6) to obtain ( L 0 (u 2 ) ) [ α p 1 + = F α (x) + a αβ ij (y) + aαγ ik y (y) χγβ j α y k π β j (y) 2 u β 0 x α x j p 0 x α ] { } 2 u β 0 + a αβ ij x i x j y (y) ũβ 1 i x j 15

24 The above equation can be solved in (u 2, p 1 ) if we integrate both sides in y over Y, [ ] F α (x) = a αβ ij (y) + aαγ ik (y) χγβ j 2 u β 0 dy + p 0, Y y k x i x j x α where we have used the fact that Y πβ j dy = 0. The above equation is nothing else than where L 0 = div(â ) and  = (âαβ ij [ â αβ ij = Y L 0 (u 0 ) + p 0 = F, ) defined the same as in (3.1.7) that ] a αβ ij (y) + aαγ ik (y) χγβ x k So far by this multi-scale method, if we denote p 0 (x) by p 0 (x) for simplicity, we have formally shown that the homogenization problem of Stokes system (3.2.2) is exactly { L0 (u 0 ) + p 0 = F, (3.2.12) div(u 0 ) = Compactness Theorem We now prove a compactness theorem for a sequence of Stokes systems with coefficient matrices satisfying the same conditions and should be regarded as a compactness property of the Stokes systems with periodic coefficients. Its proof follows the Tartar s oscillating testing function method found in [10] for the proof of Theorem 3.1.5, and also uses the following observation. Proposition Suppose that {φ k } be a sequence of 1-periodic functions with φ k L 2 (Y ) C and ε k 0, then φ k (x/ε k ) φ k 0 weakly in L 2 (), (3.3.1) as k. Proof. Let u k Hper(Y 2 ) such that u k = φ k φ k, in Y. Let U k = u k. Then div(u k ) = φ k Y φ k and U k L 2 (Y ) φ k φ k L 2 (Y ) C. Y Y 16 Y j dy.

25 Then for any ϕ C0(), 1 [ ] φk (x/ε k ) φ k ϕ(x) = εk U k (x/ε k ) ϕ(x) 0, (3.3.2) Y as ε k 0, since U k (x/ε k ) L 2 () C U k L 2 (Y ) C, where we have used the periodicity of U k. We may now conclude that φ k (x/ε k ) φ k 0 weakly in L 2 (), Y as similarly φ k (x/ε) L 2 () C φ k L 2 (Y ) C The proof is now complete. We are now ready to prove our interior compactness theorem of Stokes systems. Theorem Let {A k (y)} be a sequence of 1-periodic matrices satisfies the ellipticity condition (1.0.3) (with the same µ). Let (u k, p k ) H 1 (; R d ) L 2 () be a weak solution of { div(a k (x/ε k ) u k ) + p k = F k, div(u k ) = g k in, where ε k 0, F k H 1 (; R d ) and g k L 2 (). We further assume that as k, F k F 0 strongly in H 1 (; R d ), g k g 0 strongly in L 2 (), u k u 0 weakly in H 1 (; R d ), p k p 0 weakly in L 2 (), Â k A 0, where Âk is the coefficient matrix of the homogenized system for the Stokes system with coefficient matrix A k (x/ε). Then, A k (x/ε k ) u k A 0 u 0 weakly in L 2 (; R d d ), and (u 0, p 0 ) is a weak solution of { div(a 0 u 0 ) + p 0 = F 0, in. (3.3.3) div(u 0 ) = g 0 17

26 Proof. Let A k = (a kαβ ij ) and (ξ k ) α i = a kαβ ij ( x ε k ) u β k x j Note that (ξ k ) α i L 2 () C. It suffices to show that if {ξ k } is a subsequence of {ξ k } and {ξ k } converges weakly to ξ 0 in L 2 (; R d d ), then ξ 0 = A 0 u 0. This would imply that (u 0, p 0 ) is a weak solution of (3.3.3) in. It also implies that the whole sequence {ξ k } converges weakly to A 0 u 0 in L 2 (; R d d ). Without loss of generality we may assume that ξ k ξ 0 weakly in L 2 (; R d d ). Note that ξ k, φ = F k, φ + p k, div(φ) (3.3.4) for all φ H0(; 1 R d ). Fix 1 j, d d and ψ C0(). 1 Let ( ) φ k (x) = P β j (x) + ε kχ k β j (x/ε k ) ψ(x), where χ k β j (and π k β j used in the following) are the correctors for the Stokes systems with coefficient matrix (A k ) (x/ε), introduced in Remark A computation shows that ξ k, φ k = A k (x/ε k ) u k, ( P β j (x) + ε kχ k β j (x/ε k ) ) ψ Since ( div + A k (x/ε k ) u k, ( P β j (x) + ε kχ k β j (x/ε k ) ) ψ = ψ u k, (A k ) (x/ε k ) ( P β j (x) + ε kχ k β j (x/ε k ) ) + A k (x/ε k ) u k, ( P β j (x) + ε kχ k β j (x/ε k ) ) ψ = (ψu k ), (A k ) (x/ε k ) ( P β j (x) + ε kχ k β j (x/ε k ) ) ( ψ)u k, (A k ) (x/ε k ) ( P β j (x) + ε kχ k β j (x/ε k ) ) + ξ k, ( P β j (x) + ε kχ k β j (x/ε k ) ) ψ. (A k ) (x/ε k ) [ P β j (x) + ε kχ k β j (x/ε k ) ]) [ ] = π k β j (x/ε k ) in R d, (3.3.5) it follows that the first term in the right hand side of (3.3.5) equals π k β j (x/ε), div(ψu k ) = π k β j (x/ε) π k β j, div(ψu k ). Using the fact that Y div(ψu k ) = ψ u k + ψg k ψ u 0 + ψg 0 strongly in L 2 () 18

27 and by Proposition 3.3.1, π k β j (x/ε) π k β j 0 weakly in L 2 (), Y we see that first term in the right hand side of (3.3.5) goes to zero. In view of the estimate ε k χ k β j (x/ε k ) L 2 () Cε k χ k β j L 2 (Y ) C ε k, it is easy to see that for the third term in the right hand side of (3.3.5) goes to ξ 0, P β j ψ. To handle the second term in the right hand side of (3.3.5), we note that again by Proposition 3.3.1, P α i (A k ) (x/ε k ) ( P β j (x) + ε kχ k β j (x/ε k ) ) converges weakly in L 2 () to Pi α (A k ) (y) ( P β j + χk β lim k Y j (y) ) dy = lim â kβα ji = a 0βα ji, k where Âk = (â kαβ ij ), A 0 = (a 0αβ ij ), and we have used the definition of matrices of effective coefficients as well as the assumption that Âk A 0. This, together with the fact that u k u 0 strongly in L 2 (; R d ), shows that the second term in the right hand side of (3.3.5) goes to a 0βα ji where we have used integration by parts. k, ξ k, φ k ξ 0, P β j ψ u α 0 = a 0βα ji ψ uα 0, x i x i To summarize, we have proved that as ψ + a0βα ji ψ uα 0 x i. (3.3.6) Finally, since φ k P β j ψ weakly in H1 0(; R d ) and F k F 0 strongly in H 1 (; R d ), we have F k, φ k F 0, P β j ψ. Also, since div(χβ j ) = 0 in Rd, p k, div(φ k ) = p k, div(p β j ψ) + p k, ε k χ k β j (x/ε) ψ p 0, div(p β j ψ). Thus, the right hand side of (3.3.4) converges to F 0, P β j ψ + p 0, div(p β j ψ) = ξ 0, (P β j ψ) = ξ 0, P β j ψ + ξ 0, ψ P β j, where the first equality follows by taking the limit in (3.3.4) with φ = P β j ψ. In view of (3.3.6) we obtain a 0βα ji ψ uα 0 = ξ 0, ψ P β j x. i Since ψ C0() 1 is arbitrary, this gives (ξ 0 ) β j = a0βα u α 0 ji x i, i.e., ξ 0 = A 0 u 0. The proof is complete. 19

28 3.4 Homogenization for Neumann problems The homogenization theory can be extended to Neumann problem of Stokes systems, following by an analogous argument as in Section 3.1 for Dirichlet boundary value problems. Here we state the main results. The following theorem gives us the existence and uniqueness of weak solution for Neumann problem of Stokes systems. Theorem Let be a bounded Lipschitz domain in R d. Suppose A(y) satisfies the ellipticity condition (1.0.3). Let F H 1 (; R d ), g L 2 () and f H 1/2 ( ; R d ) satisfy the following Neumann compatibility condition F + h = 0. (3.4.1) Then there exist a unique (u ε, p ε ) H 1 (; R d ) L 2 () ( unique in the sense of up to constants), such that (u ε, p ε ) is a weak solution of (1.0.2) and uε ν ε p ε n = h on, where uε ν ε is defined in (2.1.1) and n is the outward unit normal. Moreover, u ε H 1 () + p ε p ε L 2 () C { F H 1 () + g L 2 () + h H ( )}, (3.4.2) 1/2 where C depends only on d, µ, and. Proof. The existence and uniqueness of weak solutions for Neumann problem of Stokes system can be proved again by applying the Lax-Milgram Theorem. skip the details here. Remark If is C 1,1 and A is a constant matrix, the weak solution (u, p), given by Theorem 3.4.1, is in H 2 (; R d ) H 1 (), provided that F L 2 (; R d ), g H 1 () and h H 1/2 ( ; R d ). Moreover, u H 2 () + p L 2 () C { F L 2 () + g H 1 () + h H 1/2 ( ) }, (3.4.3) where C depends only on d, µ, and (see e.g. [24]). The following homogenization theorem of Stokes systems with Neumann boundary condition also shows that the limiting solutions are solutions of Stokes system associated with effective coefficients with the same Neumann boundary condition. Theorem Suppose A(y) satisfies ellipticity condition (1.0.3) and periodicity condition (1.0.4). Let be a bounded Lipschitiz domain. Let (u ε, p ε ) H 1 (; R d ) We 20

29 L 2 () to be a weak solution of the following Neumann problem of Stokes system L ε (u ε ) + p ε = F in, div(u ε ) = g in, (3.4.4) u ε p ε n = h on, ν ε where F H 1 (; R d ), g L 2 () and h H 1/2 ( ; R d ) satisfying the Neumann compatibility condition (3.4.1). Assume that u ε = p ε = 0, then as ε 0, u ε u 0 strongly in L 2 (; R d ), u ε u 0 weakly in H 1 (; R d ), Moreover, problem p ε p 0 weakly in L 2 (), A(x/ε) u ε Â u 0 weakly in L 2 (; R d d ). u 0 = p 0 = 0 and (u 0, p 0 ) is the weak solution of the homogenized L 0 (u 0 ) + p 0 = F in, div(u 0 ) = g in, u 0 ν 0 p 0 n = h on. (3.4.5) Proof. The proof will use the same approach as in the proof of Theorem Let ξ ε = A(x/ε) u ε. Note that ξ ε L 2 () C. We say (u ε, p ε ) is a weak solution of Neumann problem (3.4.4), if ξ ε, φ = F, φ + p ε, div(φ) + h, φ H 1/2 ( ;R d ) H 1/2 ( ;R d ), (3.4.6) for any φ H 1 (; R d ). By Theorem 3.4.1, we can extract a subsequence, still denoted by {u ε }, {p ε } and {ξ ε } such that u ε u 0 weakly in H 1 (; R d ); p ε p 0 weakly in L 2 (); ξ ε ξ 0 weakly in L 2 (; R d d ). Similarly, as in (3.3.5) of the proof of Theorem 3.3.2, we choose ( ) φ(x) = P β j (x) + εχ β j (x/ε) ψ(x), where 1 j, d d and ψ(x) C 1 0() are fixed. Similarly, ξ ε, φ = (ψu ε ), A (x/ε) ( P β j ( ψ)u ε, A (x/ε) ( P β j + ξ ε, ( P β j (x) + εχ β j (x/ε)) (x) + εχ β j (x/ε)) ψ. (x) + εχ β j (x/ε)) (3.4.7) 21

30 Since ( div A (x/ε) [ P β j (x) + εχ β j (x/ε)]) = π β j (x/ε) in R d, it follows that the first term in the right hand side of (3.4.7) equals π β j (x/ε), div(ψu ε ) = π β j (x/ε) π β j, div(ψu ε ). Using the fact that Y div(ψu ε ) = ψ u ε + ψg ψ u 0 + ψg strongly in L 2 () and by Proposition 3.3.1, π β j (x/ε) π β j 0 weakly in L 2 (), Y we see that first term in the right hand side of (3.4.7) goes to zero. In view of the estimate εχ β j (x/ε) L 2 () Cε χ β j L 2 (Y ) C ε, it is easy to see that for the third term in the right hand side of (3.4.7) goes to ξ 0, P β j ψ. To handle the second term in the right hand side of (3.4.7), we note that again by Proposition 3.3.1, Y P α i A (x/ε) ( P β j (x) + εχ β j (x/ε)) converges weakly in L 2 () to Pi α A (y) ( P β j + χ β j (y)) dy = â βα ji, where we have used the definition of matrices of effective coefficients. This, together with the fact that u ε u 0 strongly in L 2 (; R d ), shows that the second term in the right hand side of (3.4.7) goes to â βα ji ψ u α 0 = â βα ji ψ uα 0, x i x i where we have used integration by parts. To summarize, we have proved that, ξ ε, φ ξ 0, P β j ψ + âβα ji ψ uα 0. (3.4.8) x i 22

31 Finally, since φ P β j ψ weakly in H1 0(; R d ), we have F, φ F, P β j ψ. Also, since div(χ β j ) = 0 in Rd, p ε, div(φ) = p ε, div(p β j ψ) + p ε, εχ β j (x/ε) ψ p 0, div(p β j ψ). Thus, the right hand side of (3.4.6) converges to F, P β j ψ + p 0, div(p β j ψ) = ξ 0, (P β j ψ) = ξ 0, P β j ψ + ξ 0, ψ P β j, where the first equality follows by taking the limit in (3.4.6) with φ = P β j ψ. In view of (3.4.8) we obtain â βα ji ψ uα 0 = ξ 0, ψ P β j x. i Since ψ C0() 1 is arbitrary, this gives (ξ 0 ) β j = âβα u α 0 ji x i, i.e. we have prove that Taking limit in (3.4.6), we see that ξ 0 = Â u 0. Â u 0, φ = F, φ + p 0, div(φ) + h, φ H 1/2 ( ;R d ) H 1/2 ( ;R d ), this implies that (u 0, p 0 ) is the unique solution of Neumann problem L 0 (u 0 ) + p 0 = F in, div(u 0 ) = g in, u 0 ν 0 p 0 n = h on. satisfying u 0 = p 0 = 0. As a result we conclude that the whole sequence u ε u 0 weakly in H 1 (; R d ) and p ε p 0 weakly in L 2 (). Copyright c Shu Gu,

32 Chapter 4 Convergence Rates of Dirichlet Problems in Homogenization of Stokes Systems In this chapter we study the convergence rates in L 2 and H 1 of Dirichlet problems for Stokes systems with rapidly oscillating periodic coefficient, without any regularity assumptions on the coefficients. 4.1 Introduction More precisely, we consider the following Dirichlet problem for Stokes systems L ε (u ε ) + p ε = F in, div u ε = g in, u ε = h on, with the Dirichlet compatibility condition g h n = 0. By homogenization theorem (Theorem 3.1.5), we have shown that and p ε u ε u 0 weakly in H 1 (; R d ), p ε p 0 p 0 weakly in L 2 (), where (u 0, p 0 ) H 1 (; R d ) L 2 () is the weak solution of the homogenized problem L 0 (u 0 ) + p 0 = F in, div(u 0 ) = g in, u 0 = h on. The main purpose of this chapter is to investigate the rate of convergence of u ε u 0 L 2 () as ε 0, which is stated in the following theorem. Theorem Let be a bounded C 1,1 domain. Suppose that A satisfies the ellipticity condition (1.0.3) and periodicity condition (1.0.4). Given g H 1 () and f H 3/2 ( ; R d ) satisfying the Dirichlet compatibility condition (3.1.2), for 24

33 F L 2 (; R d ), let (u ε, p ε ), (u 0, p 0 ) be weak solutions of Dirichlet problems (3.1.10), (3.1.11), respectively. Then u ε u 0 L 2 () Cε u 0 H 2 (), (4.1.1) where the constant C depends only on d, µ, and. Theorem gives the optimal O(ε) convergence rate for the inverses of the Stokes operators in L 2 operator norm. Indeed, let T ε : F L 2 σ() u ε, where L 2 σ() = { F L 2 (; R d ) : div(f ) = 0 in }, and u ε denotes the solution of (3.1.10) with F L 2 σ(; R d ) and g = 0, f = 0. Then it follows from (4.1.1) and the estimate u 0 H 2 () C F L 2 () that where T 0 : F L 2 σ() u 0. T ε T 0 L 2 σ () L 2 σ () Cε, In this chapter we also obtain O( ε) rates for a two-scale expansion of (u ε, p ε ) in H 1 L 2. Let (χ, π) denote the correctors associated with A, defined by (3.1.5), and S ε the Steklov smoothing operator defined by (2.2.1). Theorem Let be a bounded C 1,1 domain. Suppose that A satisfies ellipticity (1.0.3) and periodicity (1.0.4) conditions. Let (u ε, p ε ) and (u 0, p 0 ) be the same as in Theorem Then u ε u 0 εχ ε S ε ( ũ 0 ) H 1 () C ε u 0 H 2 (), (4.1.2) where χ ε (x) = χ(x/ε) and ũ 0 is the extension of u 0 defined as in (4.2.1). Moreover, if p ε = p 0 = 0, then { } p ε p 0 π ε S ε ( ũ 0 ) π ε S ε ( ũ 0 ) L 2 () C ε u 0 H 2 (), (4.1.3) where π ε (x) = π(x/ε). The constants C in (4.1.2) and (4.1.3) depend only on d, µ, and. For the known results, as we mentioned earlier, consider the Dirichlet problem for the scalar elliptic equation L ε (u ε ) = F in a Lipschitz domain with u ε = f on. It is well known that u ε u 0 L 2 () Cε { 2 u 0 L 2 () + u 0 L ( )}. (4.1.4) 25

34 To see (4.1.4), one considers the difference between u ε and its first order approximation u 0 + εχ ε u 0 and let v ε = u ε u 0 εχ ε u 0. (4.1.5) To correct the boundary data, one further introduces a function w ε, where w ε is the solution to the Dirichlet problem: L ε (w ε ) = 0 in and w ε = εχ ε u 0 on. Using energy estimates, one may show that v ε w ε H 1 0 () Cε 2 u 0 L 2 (). The estimate (4.1.4) follows from this and the estimate w ε L () Cε u 0 L ( ), which is obtained by the maximum principle (see e.g. [31]). More recently, Griso [26, 27] was able to establish the much sharper estimate (4.1.1), using the method of periodic unfolding. We mention that in the case of scalar elliptic equations with bounded measurable coefficients, one may also prove (4.1.1) by using the so-called Dirichlet corrector. In fact, it was shown in [33] that u ε u 0 { Φ ε x } u 0 H 1 0 () Cε u 0 H 2 (), (4.1.6) where Φ ε (x) is the solution of L ε (Φ ε ) = 0 in with Φ ε = x on. In the case of elliptic systems, the estimates (4.1.6) and thus (4.1.1) continue to hold under the additional assumption that A is Hölder continuous. continuous and symmetric, it was proved in [32] that Moreover, if A is Hölder v ε H 1/2 () Cε u 0 H 2 (). (4.1.7) The approaches used in [32, 33] rely on the uniform regularity estimates established in [3, 37] and do not apply to operators with bounded measurable coefficients. Recently, by using the Steklov smoothing operator, T. A. Suslina [55, 56] was able to establish the O(ε) estimate (4.1.1) in L 2 for a boarder class of elliptic operators, which, in particular, contains the elliptic systems L ε in divergence form with coefficients satisfying the ellipticity condition a αβ ij ξα i ξ β j µ ξ 2 for any ξ = ( ) ξi α R m d. Since the correctors χ may not be bounded in the case of non-smooth coefficients, the idea is to consider the two-scale expansion v ε = u ε u 0 εχ ε S ε ( ũ 0 ), (4.1.8) where S ε is a smoothing operator at scale ε defined in (2.2.1) and ũ 0 an extension of u 0 to R d (also see [45,46,59] and their references on the use of S ε in homogenization). This reduces the problem to the control of the L 2 norm of w ε, where w ε is the solution 26

35 to the Dirichlet problem: L ε (w ε ) = 0 in and w ε = εχ ε S ε (ũ 0 ) on. Next, one considers h ε = w ε εχ ε θ ε S ε ( ũ 0 ), where θ ε is a cutoff function supported in an ε neighborhood of. Note that h ε = 0 on and L ε (h ε ) is supported in an ε neighborhood of. This allows one to approximate h ε in the L 2 norm by h 0, using an O( ε) estimate in H 1 and a duality argument, where L 0 (h 0 ) = L ε (h ε ) in and h 0 = 0 on. Finally, one estimates the L 2 norm of h 0 by another duality argument. In this chapter we extend the approach of Suslina to the case of Stokes systems, which do not fit the standard framework of second-order elliptic systems in divergence form. As expected in the study of Stokes or Navies-Stokes systems, the main difficulty is caused by the pressure term p ε. By carefully analyzing the systems for the correctors (χ, π) as well as their dual (φ αβ kij, qβ ij ), we are able to establish the O( ε) error estimates, given in Theorem 4.1.2, for the two-scale expansions of (u ε, p ε ) in H 1 L 2. This allows us to use the idea of boundary cutoff and duality argument in a manner similar to that in [55]. 4.2 Convergence rates for u ε in H 1 From now on we will assume that is a bounded domain with boundary of class C 1,1, F L 2 (; R d ), g H 1 (), and h H 3/2 ( ; R d ). We fix a linear continuous extension operator E : H 2 (; R d ) H 2 (R d ; R d ), and let ũ 0 = E u 0, (4.2.1) so that ũ 0 = u 0 in and ũ 0 H 2 (R d ) C u 0 H 2 (), (4.2.2) where C depends on. We introduce a first order approximation of u ε, v ε = u 0 + εχ ε S ε ( ũ 0 ). Let (w ε, τ ε ) H 1 (; R d ) L 2 () be a weak solution of L ε (w ε ) + τ ε = 0 in, div(w ε ) = ε div ( ) χ ε S ε ũ 0 in, w ε = εχ ε S ε ( ũ 0 ) on. (4.2.3) 27

36 We will use w ε to approximate the difference between u ε and its first order approximation v ε. To this end, for 1 i, j, α, β d, we let Note that b αβ ij b αβ ij (y) = aαβ ij (y) + aαγ ik (y) ( ) χ γβ j â αβ ij y. (4.2.4) k is 1-periodic. By the definition of χ and and, for each 1 α, β, j d, y i ( b αβ ij (y)) = Y y i ( a αβ ij (y)) + y i = y i ( a αβ ij (y)) y i = y α (π β j ). b αβ ij (y) dy = 0. ( a αγ j Â, bαβ ij ) ik (y) χγβ y k ( ) γβ a αγ j ik (y) P y k L 2 (Y ) satisfies + y α (π β j ) Lemma There exist Φ αβ kij H1 per(y ) and q β ij H1 per(y ) such that Moreover, (4.2.5) b αβ ij = (Φ αβ kij y ) + (q β ij ) and Φαβ kij k y = Φαβ ikj. (4.2.6) α where C depends only on d and µ. Φ αβ kij L 2 (Y ) + q β ij L 2 (Y ) C, (4.2.7) Proof. Fix 1 i, j, β d. There exist f β αβ ij = (fij ) H2 per(y ; R d ) and q β ij H1 per(y ) satisfying the following Stokes system, f β ij + qβ ij = bβ ij in Y, div(f β ij ) = 0 in Y, (4.2.8) f β ij dy = 0, where b β ij = (bαβ ij ). We now define Y Φ αβ kij (y) = (f αβ ij y k ) y i (f αβ kj ). 28

Periodic Homogenization of Elliptic Problems (Draft)

Periodic Homogenization of Elliptic Problems (Draft) Periodic Homogenization of Elliptic Problems (Draft) Zhongwei Shen 1 Department of Mathematics University of Kentucky 1 Supported in part by NSF grant DMS-0855294 2 Contents 1 Elliptic Operators with Periodic

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

MAGNETIC PROPERTIES OF Nb/Ni SUPERCONDUCTING / FERROMAGNETIC MULTILAYERS

MAGNETIC PROPERTIES OF Nb/Ni SUPERCONDUCTING / FERROMAGNETIC MULTILAYERS University of Kentucky UKnowledge Theses and Dissertations--Physics and Astronomy Physics and Astronomy 2012 MAGNETIC PROPERTIES OF Nb/Ni SUPERCONDUCTING / FERROMAGNETIC MULTILAYERS Sergiy A. Kryukov University

More information

Lectures on Periodic Homogenization of Elliptic Systems. Zhongwei Shen

Lectures on Periodic Homogenization of Elliptic Systems. Zhongwei Shen Lectures on Periodic Homogenization of Elliptic Systems arxiv:1710.11257v1 [math.ap] 30 Oct 2017 Zhongwei Shen Department of Mathematics, University of Kentucky, Lexington, Kentucky 40506, USA E-mail address:

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

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

ESTIMATES FOR ELLIPTIC HOMOGENIZATION PROBLEMS IN NONSMOOTH DOMAINS. Zhongwei Shen

ESTIMATES FOR ELLIPTIC HOMOGENIZATION PROBLEMS IN NONSMOOTH DOMAINS. Zhongwei Shen W,p ESTIMATES FOR ELLIPTIC HOMOGENIZATION PROBLEMS IN NONSMOOTH DOMAINS Zhongwei Shen Abstract. Let L = div`a` x, > be a family of second order elliptic operators with real, symmetric coefficients on a

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

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

The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition

The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition The Dirichlet boundary problems for second order parabolic operators satisfying a Carleson condition Sukjung Hwang CMAC, Yonsei University Collaboration with M. Dindos and M. Mitrea The 1st Meeting of

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

Numerical computation of an optimal control problem with homogenization in one-dimensional case

Numerical computation of an optimal control problem with homogenization in one-dimensional case Retrospective Theses and Dissertations Iowa State University Capstones, Theses and Dissertations 28 Numerical computation of an optimal control problem with homogenization in one-dimensional case Zhen

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

On Estimates of Biharmonic Functions on Lipschitz and Convex Domains

On Estimates of Biharmonic Functions on Lipschitz and Convex Domains The Journal of Geometric Analysis Volume 16, Number 4, 2006 On Estimates of Biharmonic Functions on Lipschitz and Convex Domains By Zhongwei Shen ABSTRACT. Using Maz ya type integral identities with power

More information

Lecture 2: A Strange Term Coming From Nowhere

Lecture 2: A Strange Term Coming From Nowhere Lecture 2: A Strange Term Coming From Nowhere Christophe Prange February 9, 2016 In this lecture, we consider the Poisson equation with homogeneous Dirichlet boundary conditions { u ε = f, x ε, u ε = 0,

More information

R. M. Brown. 29 March 2008 / Regional AMS meeting in Baton Rouge. Department of Mathematics University of Kentucky. The mixed problem.

R. M. Brown. 29 March 2008 / Regional AMS meeting in Baton Rouge. Department of Mathematics University of Kentucky. The mixed problem. mixed R. M. Department of Mathematics University of Kentucky 29 March 2008 / Regional AMS meeting in Baton Rouge Outline mixed 1 mixed 2 3 4 mixed We consider the mixed boundary value Lu = 0 u = f D u

More information

THE DIRICHLET PROBLEM WITH BM O BOUNDARY DATA AND ALMOST-REAL COEFFICIENTS

THE DIRICHLET PROBLEM WITH BM O BOUNDARY DATA AND ALMOST-REAL COEFFICIENTS THE DIRICHLET PROBLEM WITH BM O BOUNDARY DATA AND ALMOST-REAL COEFFICIENTS ARIEL BARTON Abstract. It is known that a function, harmonic in a Lipschitz domain, is the Poisson extension of a BMO function

More information

Solutions to the L p Mixed Boundary Value Problem in C 1,1 Domains

Solutions to the L p Mixed Boundary Value Problem in C 1,1 Domains University of Kentucky UKnowledge Theses and Dissertations--Mathematics Mathematics 206 Solutions to the L p Mixed Boundary Value Problem in C, Domains Laura D. Croyle University of Kentucky, lauradcroyle@gmail.com

More information

ON THE ASYMPTOTIC BEHAVIOR OF ELLIPTIC PROBLEMS IN PERIODICALLY PERFORATED DOMAINS WITH MIXED-TYPE BOUNDARY CONDITIONS

ON THE ASYMPTOTIC BEHAVIOR OF ELLIPTIC PROBLEMS IN PERIODICALLY PERFORATED DOMAINS WITH MIXED-TYPE BOUNDARY CONDITIONS Bulletin of the Transilvania University of Braşov Series III: Mathematics, Informatics, Physics, Vol 5(54) 01, Special Issue: Proceedings of the Seventh Congress of Romanian Mathematicians, 73-8, published

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

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

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

Introduction. Christophe Prange. February 9, This set of lectures is motivated by the following kind of phenomena:

Introduction. Christophe Prange. February 9, This set of lectures is motivated by the following kind of phenomena: Christophe Prange February 9, 206 This set of lectures is motivated by the following kind of phenomena: sin(x/ε) 0, while sin 2 (x/ε) /2. Therefore the weak limit of the product is in general different

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

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

Frequency functions, monotonicity formulas, and the thin obstacle problem

Frequency functions, monotonicity formulas, and the thin obstacle problem Frequency functions, monotonicity formulas, and the thin obstacle problem IMA - University of Minnesota March 4, 2013 Thank you for the invitation! In this talk we will present an overview of the parabolic

More information

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability... Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................

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

A RELATIONSHIP BETWEEN THE DIRICHLET AND REGULARITY PROBLEMS FOR ELLIPTIC EQUATIONS. Zhongwei Shen

A RELATIONSHIP BETWEEN THE DIRICHLET AND REGULARITY PROBLEMS FOR ELLIPTIC EQUATIONS. Zhongwei Shen A RELATIONSHIP BETWEEN THE DIRICHLET AND REGULARITY PROBLEMS FOR ELLIPTIC EQUATIONS Zhongwei Shen Abstract. Let L = diva be a real, symmetric second order elliptic operator with bounded measurable coefficients.

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

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

Asymptotic Analysis of the Approximate Control for Parabolic Equations with Periodic Interface

Asymptotic Analysis of the Approximate Control for Parabolic Equations with Periodic Interface Asymptotic Analysis of the Approximate Control for Parabolic Equations with Periodic Interface Patrizia Donato Université de Rouen International Workshop on Calculus of Variations and its Applications

More information

The extreme points of symmetric norms on R^2

The extreme points of symmetric norms on R^2 Graduate Theses and Dissertations Iowa State University Capstones, Theses and Dissertations 2008 The extreme points of symmetric norms on R^2 Anchalee Khemphet Iowa State University Follow this and additional

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

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

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

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

CONTINUITY PROPERTIES FOR DIVERGENCE FORM BOUNDARY DATA HOMOGENIZATION PROBLEMS

CONTINUITY PROPERTIES FOR DIVERGENCE FORM BOUNDARY DATA HOMOGENIZATION PROBLEMS CONTINUITY PROPERTIES FOR DIVERGENCE FORM BOUNDARY DATA HOMOGENIZATION PROBLEMS WILLIAM M. FELDMAN AND YUMING ZHANG Abstract. We study the continuity/discontinuity of the effective boundary condition for

More information

2 A Model, Harmonic Map, Problem

2 A Model, Harmonic Map, Problem ELLIPTIC SYSTEMS JOHN E. HUTCHINSON Department of Mathematics School of Mathematical Sciences, A.N.U. 1 Introduction Elliptic equations model the behaviour of scalar quantities u, such as temperature or

More information

QUANTITATIVE ANALYSIS OF BOUNDARY LAYERS IN PERIODIC HOMOGENIZATION

QUANTITATIVE ANALYSIS OF BOUNDARY LAYERS IN PERIODIC HOMOGENIZATION QUANTITATIVE ANALYSIS OF BOUNDARY LAYERS IN PERIODIC HOMOGENIZATION SCOTT ARMSTRONG, TUOMO KUUSI, JEAN-CHRISTOPHE MOURRAT, AND CHRISTOPHE PRANGE Abstract. We prove quantitative estimates on the rate of

More information

Liquid crystal flows in two dimensions

Liquid crystal flows in two dimensions Liquid crystal flows in two dimensions Fanghua Lin Junyu Lin Changyou Wang Abstract The paper is concerned with a simplified hydrodynamic equation, proposed by Ericksen and Leslie, modeling the flow of

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

NEUMANN HOMOGENIZATION VIA INTEGRO-DIFFERENTIAL OPERATORS, PART 2: SINGULAR GRADIENT DEPENDENCE

NEUMANN HOMOGENIZATION VIA INTEGRO-DIFFERENTIAL OPERATORS, PART 2: SINGULAR GRADIENT DEPENDENCE NEUMANN HOMOGENIZATION VIA INTEGRO-DIFFERENTIAL OPERATORS, PART 2: SINGULAR GRADIENT DEPENDENCE NESTOR GUILLEN AND RUSSELL W. SCHWAB Abstract. We continue the program initiated in a previous work, of applying

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

Kronecker's Theory of Binary Bilinear Forms with Applications to Representations of Integers as Sums of Three Squares

Kronecker's Theory of Binary Bilinear Forms with Applications to Representations of Integers as Sums of Three Squares University of Kentucky UKnowledge Theses and Dissertations--Mathematics Mathematics 016 Kronecker's Theory of Binary Bilinear Forms with Applications to Representations of Integers as Sums of Three Squares

More information

ξ,i = x nx i x 3 + δ ni + x n x = 0. x Dξ = x i ξ,i = x nx i x i x 3 Du = λ x λ 2 xh + x λ h Dξ,

ξ,i = x nx i x 3 + δ ni + x n x = 0. x Dξ = x i ξ,i = x nx i x i x 3 Du = λ x λ 2 xh + x λ h Dξ, 1 PDE, HW 3 solutions Problem 1. No. If a sequence of harmonic polynomials on [ 1,1] n converges uniformly to a limit f then f is harmonic. Problem 2. By definition U r U for every r >. Suppose w is a

More information

1. Introduction, notation, and main results

1. Introduction, notation, and main results Publ. Mat. 62 (2018), 439 473 DOI: 10.5565/PUBLMAT6221805 HOMOGENIZATION OF A PARABOLIC DIRICHLET PROBLEM BY A METHOD OF DAHLBERG Alejandro J. Castro and Martin Strömqvist Abstract: Consider the linear

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

The infinity-laplacian and its properties

The infinity-laplacian and its properties U.U.D.M. Project Report 2017:40 Julia Landström Examensarbete i matematik, 15 hp Handledare: Kaj Nyström Examinator: Martin Herschend December 2017 Department of Mathematics Uppsala University Department

More information

Analysis in weighted spaces : preliminary version

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

More information

Small energy regularity for a fractional Ginzburg-Landau system

Small energy regularity for a fractional Ginzburg-Landau system Small energy regularity for a fractional Ginzburg-Landau system Yannick Sire University Aix-Marseille Work in progress with Vincent Millot (Univ. Paris 7) The fractional Ginzburg-Landau system We are interest

More information

Bounded Point Derivations on Certain Function Spaces

Bounded Point Derivations on Certain Function Spaces University of Kentucky UKnowledge Theses and Dissertations--Mathematics Mathematics 208 Bounded Point Derivations on Certain Function Spaces Stephen Deterding University of Kentucky, stemicdet@gmail.com

More information

LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES. Sergey Korotov,

LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES. Sergey Korotov, LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES Sergey Korotov, Institute of Mathematics Helsinki University of Technology, Finland Academy of Finland 1 Main Problem in Mathematical

More information

RENORMALIZED SOLUTIONS ON QUASI OPEN SETS WITH NONHOMOGENEOUS BOUNDARY VALUES TONI HUKKANEN

RENORMALIZED SOLUTIONS ON QUASI OPEN SETS WITH NONHOMOGENEOUS BOUNDARY VALUES TONI HUKKANEN RENORMALIZED SOLTIONS ON QASI OPEN SETS WITH NONHOMOGENEOS BONDARY VALES TONI HKKANEN Acknowledgements I wish to express my sincere gratitude to my advisor, Professor Tero Kilpeläinen, for the excellent

More information

THE MIXED PROBLEM IN LIPSCHITZ DOMAINS WITH GENERAL DECOMPOSITIONS OF THE BOUNDARY

THE MIXED PROBLEM IN LIPSCHITZ DOMAINS WITH GENERAL DECOMPOSITIONS OF THE BOUNDARY TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9947(XX)0000-0 THE MIXE PROBLEM IN LIPSCHITZ OMAINS WITH GENERAL ECOMPOSITIONS OF THE BOUNARY J.L. TAYLOR, K.A.

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

HARMONIC ANALYSIS. Date:

HARMONIC ANALYSIS. Date: HARMONIC ANALYSIS Contents. Introduction 2. Hardy-Littlewood maximal function 3. Approximation by convolution 4. Muckenhaupt weights 4.. Calderón-Zygmund decomposition 5. Fourier transform 6. BMO (bounded

More information

The oblique derivative problem for general elliptic systems in Lipschitz domains

The oblique derivative problem for general elliptic systems in Lipschitz domains M. MITREA The oblique derivative problem for general elliptic systems in Lipschitz domains Let M be a smooth, oriented, connected, compact, boundaryless manifold of real dimension m, and let T M and T

More information

GRAND SOBOLEV SPACES AND THEIR APPLICATIONS TO VARIATIONAL PROBLEMS

GRAND SOBOLEV SPACES AND THEIR APPLICATIONS TO VARIATIONAL PROBLEMS LE MATEMATICHE Vol. LI (1996) Fasc. II, pp. 335347 GRAND SOBOLEV SPACES AND THEIR APPLICATIONS TO VARIATIONAL PROBLEMS CARLO SBORDONE Dedicated to Professor Francesco Guglielmino on his 7th birthday W

More information

Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains

Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains Sergey E. Mikhailov Brunel University West London, Department of Mathematics, Uxbridge, UB8 3PH, UK J. Math. Analysis

More information

2. Function spaces and approximation

2. Function spaces and approximation 2.1 2. Function spaces and approximation 2.1. The space of test functions. Notation and prerequisites are collected in Appendix A. Let Ω be an open subset of R n. The space C0 (Ω), consisting of the C

More information

Periodic homogenization for inner boundary conditions with equi-valued surfaces: the unfolding approach

Periodic homogenization for inner boundary conditions with equi-valued surfaces: the unfolding approach Periodic homogenization for inner boundary conditions with equi-valued surfaces: the unfolding approach Alain Damlamian Université Paris-Est, Laboratoire d Analyse et de Mathématiques Appliquées, CNRS

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

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

SIGMA-CONVERGENCE OF STATIONARY NAVIER-STOKES TYPE EQUATIONS

SIGMA-CONVERGENCE OF STATIONARY NAVIER-STOKES TYPE EQUATIONS Electronic Journal of Differential Equations, Vol. 2009(2009), No. 74, pp. 1 18. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu SIGMA-CONVERGENCE

More information

Boot camp - Problem set

Boot camp - Problem set Boot camp - Problem set Luis Silvestre September 29, 2017 In the summer of 2017, I led an intensive study group with four undergraduate students at the University of Chicago (Matthew Correia, David Lind,

More information

ASYMPTOTIC BEHAVIOUR OF NONLINEAR ELLIPTIC SYSTEMS ON VARYING DOMAINS

ASYMPTOTIC BEHAVIOUR OF NONLINEAR ELLIPTIC SYSTEMS ON VARYING DOMAINS ASYMPTOTIC BEHAVIOUR OF NONLINEAR ELLIPTIC SYSTEMS ON VARYING DOMAINS Juan CASADO DIAZ ( 1 ) Adriana GARRONI ( 2 ) Abstract We consider a monotone operator of the form Au = div(a(x, Du)), with R N and

More information

The Calderon-Vaillancourt Theorem

The Calderon-Vaillancourt Theorem The Calderon-Vaillancourt Theorem What follows is a completely self contained proof of the Calderon-Vaillancourt Theorem on the L 2 boundedness of pseudo-differential operators. 1 The result Definition

More information

EXISTENCE AND REGULARITY RESULTS FOR SOME NONLINEAR PARABOLIC EQUATIONS

EXISTENCE AND REGULARITY RESULTS FOR SOME NONLINEAR PARABOLIC EQUATIONS EXISTECE AD REGULARITY RESULTS FOR SOME OLIEAR PARABOLIC EUATIOS Lucio BOCCARDO 1 Andrea DALL AGLIO 2 Thierry GALLOUËT3 Luigi ORSIA 1 Abstract We prove summability results for the solutions of nonlinear

More information

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

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

More information

IN this paper, we study the corrector of the homogenization

IN this paper, we study the corrector of the homogenization , June 29 - July, 206, London, U.K. A Corrector Result for the Homogenization of a Class of Nonlinear PDE in Perforated Domains Bituin Cabarrubias Abstract This paper is devoted to the corrector of the

More information

Velocity averaging a general framework

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

More information

Obstacle problems and isotonicity

Obstacle problems and isotonicity Obstacle problems and isotonicity Thomas I. Seidman Revised version for NA-TMA: NA-D-06-00007R1+ [June 6, 2006] Abstract For variational inequalities of an abstract obstacle type, a comparison principle

More information

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction SHARP BOUNDARY TRACE INEQUALITIES GILES AUCHMUTY Abstract. This paper describes sharp inequalities for the trace of Sobolev functions on the boundary of a bounded region R N. The inequalities bound (semi-)norms

More information

Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping.

Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping. Minimization Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping. 1 Minimization A Topological Result. Let S be a topological

More information

DIV-CURL TYPE THEOREMS ON LIPSCHITZ DOMAINS Zengjian Lou. 1. Introduction

DIV-CURL TYPE THEOREMS ON LIPSCHITZ DOMAINS Zengjian Lou. 1. Introduction Bull. Austral. Math. Soc. Vol. 72 (2005) [31 38] 42b30, 42b35 DIV-CURL TYPE THEOREMS ON LIPSCHITZ DOMAINS Zengjian Lou For Lipschitz domains of R n we prove div-curl type theorems, which are extensions

More information

Resolvent estimates for high-contrast elliptic problems with periodic coefficients

Resolvent estimates for high-contrast elliptic problems with periodic coefficients Resolvent estimates for high-contrast elliptic problems with periodic coefficients Joint work with Shane Cooper (University of Bath) 25 August 2015, Centro de Ciencias de Benasque Pedro Pascual Partial

More information

Optimization and Optimal Control in Banach Spaces

Optimization and Optimal Control in Banach Spaces Optimization and Optimal Control in Banach Spaces Bernhard Schmitzer October 19, 2017 1 Convex non-smooth optimization with proximal operators Remark 1.1 (Motivation). Convex optimization: easier to solve,

More information

The continuity method

The continuity method The continuity method The method of continuity is used in conjunction with a priori estimates to prove the existence of suitably regular solutions to elliptic partial differential equations. One crucial

More information

1 Lyapunov theory of stability

1 Lyapunov theory of stability M.Kawski, APM 581 Diff Equns Intro to Lyapunov theory. November 15, 29 1 1 Lyapunov theory of stability Introduction. Lyapunov s second (or direct) method provides tools for studying (asymptotic) stability

More information

On the p-laplacian and p-fluids

On the p-laplacian and p-fluids LMU Munich, Germany Lars Diening On the p-laplacian and p-fluids Lars Diening On the p-laplacian and p-fluids 1/50 p-laplacian Part I p-laplace and basic properties Lars Diening On the p-laplacian and

More information

On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma. Ben Schweizer 1

On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma. Ben Schweizer 1 On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma Ben Schweizer 1 January 16, 2017 Abstract: We study connections between four different types of results that

More information

New Helmholtz-Weyl decomposition in L r and its applications to the mathematical fluid mechanics

New Helmholtz-Weyl decomposition in L r and its applications to the mathematical fluid mechanics New Helmholtz-Weyl decomposition in L r and its applications to the mathematical fluid mechanics Hideo Kozono Mathematical Institute Tohoku University Sendai 980-8578 Japan Taku Yanagisawa Department of

More 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

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

Gradient Estimate of Mean Curvature Equations and Hessian Equations with Neumann Boundary Condition

Gradient Estimate of Mean Curvature Equations and Hessian Equations with Neumann Boundary Condition of Mean Curvature Equations and Hessian Equations with Neumann Boundary Condition Xinan Ma NUS, Dec. 11, 2014 Four Kinds of Equations Laplace s equation: u = f(x); mean curvature equation: div( Du ) =

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

14 Higher order forms; divergence theorem

14 Higher order forms; divergence theorem Tel Aviv University, 2013/14 Analysis-III,IV 221 14 Higher order forms; divergence theorem 14a Forms of order three................ 221 14b Divergence theorem in three dimensions.... 225 14c Order four,

More information

MATH 205C: STATIONARY PHASE LEMMA

MATH 205C: STATIONARY PHASE LEMMA MATH 205C: STATIONARY PHASE LEMMA For ω, consider an integral of the form I(ω) = e iωf(x) u(x) dx, where u Cc (R n ) complex valued, with support in a compact set K, and f C (R n ) real valued. Thus, I(ω)

More information

u xx + u yy = 0. (5.1)

u xx + u yy = 0. (5.1) Chapter 5 Laplace Equation The following equation is called Laplace equation in two independent variables x, y: The non-homogeneous problem u xx + u yy =. (5.1) u xx + u yy = F, (5.) where F is a function

More information

Weak Formulation of Elliptic BVP s

Weak Formulation of Elliptic BVP s Weak Formulation of Elliptic BVP s There are a large number of problems of physical interest that can be formulated in the abstract setting in which the Lax-Milgram lemma is applied to an equation expressed

More 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

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

SUPERCONVERGENCE PROPERTIES FOR OPTIMAL CONTROL PROBLEMS DISCRETIZED BY PIECEWISE LINEAR AND DISCONTINUOUS FUNCTIONS

SUPERCONVERGENCE PROPERTIES FOR OPTIMAL CONTROL PROBLEMS DISCRETIZED BY PIECEWISE LINEAR AND DISCONTINUOUS FUNCTIONS SUPERCONVERGENCE PROPERTIES FOR OPTIMAL CONTROL PROBLEMS DISCRETIZED BY PIECEWISE LINEAR AND DISCONTINUOUS FUNCTIONS A. RÖSCH AND R. SIMON Abstract. An optimal control problem for an elliptic equation

More information

Effect of Interlayers on Mechanical Properties and Interfacial Stress Transfer of 2D Layered Graphene- Polymer Nanocompsites

Effect of Interlayers on Mechanical Properties and Interfacial Stress Transfer of 2D Layered Graphene- Polymer Nanocompsites University of Kentucky UKnowledge Theses and Dissertations--Mechanical Engineering Mechanical Engineering 2017 Effect of Interlayers on Mechanical Properties and Interfacial Stress Transfer of 2D Layered

More information

1.3.1 Definition and Basic Properties of Convolution

1.3.1 Definition and Basic Properties of Convolution 1.3 Convolution 15 1.3 Convolution Since L 1 (R) is a Banach space, we know that it has many useful properties. In particular the operations of addition and scalar multiplication are continuous. However,

More information

On Pressure Stabilization Method and Projection Method for Unsteady Navier-Stokes Equations 1

On Pressure Stabilization Method and Projection Method for Unsteady Navier-Stokes Equations 1 On Pressure Stabilization Method and Projection Method for Unsteady Navier-Stokes Equations 1 Jie Shen Department of Mathematics, Penn State University University Park, PA 1682 Abstract. We present some

More information

Deforming conformal metrics with negative Bakry-Émery Ricci Tensor on manifolds with boundary

Deforming conformal metrics with negative Bakry-Émery Ricci Tensor on manifolds with boundary Deforming conformal metrics with negative Bakry-Émery Ricci Tensor on manifolds with boundary Weimin Sheng (Joint with Li-Xia Yuan) Zhejiang University IMS, NUS, 8-12 Dec 2014 1 / 50 Outline 1 Prescribing

More information

The Helmholtz Equation

The Helmholtz Equation The Helmholtz Equation Seminar BEM on Wave Scattering Rene Rühr ETH Zürich October 28, 2010 Outline Steklov-Poincare Operator Helmholtz Equation: From the Wave equation to Radiation condition Uniqueness

More information

Mathematics for Economists

Mathematics for Economists Mathematics for Economists Victor Filipe Sao Paulo School of Economics FGV Metric Spaces: Basic Definitions Victor Filipe (EESP/FGV) Mathematics for Economists Jan.-Feb. 2017 1 / 34 Definitions and Examples

More information