Durham Research Online

Size: px
Start display at page:

Download "Durham Research Online"

Transcription

1 Durham Research Online Deposited in DRO: 23 April 2018 Version of attached le: Accepted Version Peer-review status of attached le: Peer-reviewed Citation for published item: Cooper, S. (2018 'Quasi-periodic two-scale homogenisation and eective spatial dispersion in high-contrast media.', Calculus of variations and partial dierential equations., 57 (3. p. 76. Further information on publisher's website: Publisher's copyright statement: c The Author(s 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s and the source, provide a link to the Creative Commons license, and indicate if changes were made. Additional information: Use policy The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that: a full bibliographic reference is made to the original source a link is made to the metadata record in DRO the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. Please consult the full DRO policy for further details. Durham University Library, Stockton Road, Durham DH1 3LY, United Kingdom Tel : +44 ( Fax : +44 (

2 Quasi-periodic two-scale homogenisation and effective spatial dispersion in high-contrast media Shane Cooper April 23, 2018 Abstract The convergence of spectra via two-scale convergence for double-porosity models is well known. A crucial assumption in these works is that the stiff component of the body forms a connected set. We show that under a relaxation of this assumption the (periodic two-scale limit of the operator is insufficient to capture the full asymptotic spectral properties of high-contrast periodic media. Asymptotically, waves of all periods (or quasi-momenta are shown to persist and an appropriate extension of the notion of two-scale convergence is introduced. As a result, homogenised limit equations with none trivial quasimomentum dependence are found as resolvent limits of the original operator family. This results in asymptotic spectral behaviour with a rich dependence on quasimomenta. 1 Introduction The model problem to study time-harmonic waves, with frequency ω, in media with microstructure is div ( a ε ( x ε u = ω 2 u in where the wave u represents the information being propagated, such as pressure in acoustics, deformation in elasticity or electromagnetic fields in electromagnetism 1. The microstructured nature of the media is characterised by periodic coefficients a 2 ε : { a1ε (y, y Q a ε (y = 1, a 0ε (y, y Q 0, where a 0ε, a 1ε are (the square-root of the wave speeds of the individual constitutive material components, see figure 1. The parameter ε represents the ratio between the size of the microstructure and the observable length scale, and is typically taken to be small. From the point of view of applications, it is important to study the asymptotic behaviour of these waves in the limit of vanishing ε. A classical approximation, provided by the homogenisation theorem 3, states that for fixed frequency ω the microstructured media can be approximated by an effective homogeneous media whose wave speed a hom is constant and determined directly from the local periodic behaviour of the problem. The intuition behind why the homogenisation theorem holds is that the wavelength of u is long with respect to the microstructure: variations in u appear over much longer distances than the media s period. Mathematically, this is ensured by assuming that a ε are taken to be uniformly bounded and elliptic with respect to ε, for example a 1ε = a 1, a 0ε = a 0, for bounded elliptic a 0, a 1. 1 In elasticity and electromagnetism the wave equation describes certain polarised waves: e.g. Shear polarised wave in elasticity or Transverse Electric and Transverse Magnetic polarised waves for the Maxwell system. 2 The implied non-trivial dependence of a on ε is deliberate and, as we shall see, important. 3 Also called the long-wavelength or quasi-static approximation depending on the community. 1

3 Figure 1: A typical schematic of some three-dimensional composite media with period microstructure. It has been known for some time now that interesting effects appear when the above elliptic conditions are not uniform. This happens for example in so-called high-contrast media. In the context of waves, high-contrast media of particular interest are the so-called double porosity models which admit the critical scaling: a 1ε = a 1, a 0ε = ε 2 a 0. Physically, this critical scaling corresponds to the wavelength of u remaining long within the media Q 1 but in media Q 0 the wavelength is at the resonant scale, i.e. of the same order as the size of the microstructure. Thus violating the underlying intuition for the long-wavelength approximation. The mathematical analysis of high-contrast problems has given rise to rigorous descriptions of various scale-interaction phenomena such as memory effects and other non-local effects (e.g. [5, 7 9, 14, 17, 28]. Within the context of wave propagation, an important feature of high-contrast problems is that they contain spectral gaps (cf. [18, 30, 31]: frequencies at which no wave can propagate through the underlying medium. Such gaps are important from the point of view of wave-guiding applications such as photonic crystal fibres. An important initial work in the study of the spectrum of high-contrast elliptic operators was undertaken by V. V. Zhikov [30, 31]. Therein, the homogenisation theory for double porosity-type problems was developed within the framework of the so-called two-scale convergence of G. Nguetseng-G. Allaire [1, 27]. Using this theory, Zhikov derived two-scale limit spectral equations that contain a non-trivial coupling between microand macro-scales. Such a coupling leads to an eigenvalue problem with a highly non-linear spectral dependence, described by a function β. The convergence of spectra (in the appropriate sense was proved and, by doing so, demonstrates that this β function provides an explicit description of the asymptotic structure of the spectrum. Such an explicit description of the limit spectral behaviour via two-scale homogenisation has made way for mathematical studies of high-contrast media as wave-guides: in [20] using multi-scale asymptotics and supplemented with analysis based on two-scale convergence in [10]. Moreover, the Zhikov β function was later independently discovered by G. Bouchitté and D. Felbacq [6] in the specific context of TM-polarised electromagnetic wave propagation in a dilute dielectric two-dimensional photonic crystal fibre; therein the authors made the interesting interpretation of the β-function playing the role of effective negative magnetism. Later, in the context of elasticity, a matrix analogue of the β function is derived and plays the role of frequency-dependent effective density [3, 4, 32]. Such works demonstrate that the unusual phenomena observed in high-contrast media can be described by non-standard constitutive laws provided via two-scale homogenisation. The idea that high-contrast media can result in the appearance of non-standard constitutive laws and give rise to composite media with complex wave phenomena near micro-resonances has prompted a recent energetic pursuit of such laws in the contexts of elasticity (e.g. [24] and electromagnetism (e.g. [12, 22]. 2

4 Applications can be found in areas such as cloaking (e.g. [25, 26]. It was shown in the work of V. P. Smyshlyaev [29], building on related ideas in [14], that the two-scale homogenised limit of various anisotropic elastic media contain not only the temporal non-locality (as described by the Zhikov β function but also exhibit spatial non-locality. The presence of which leads to the phenomena of directional localisation: the number of admissible propagating wave modes depends not only on the frequency but on the direction of propagation. Such a feature is important for cloaking applications. These motivating works have led to recent systematic study containing rigorous asymptotic and spectral analysis of general mathematical constructions containing high-contrasts [21]. Analysis based on the work [21] has led to the demonstration that the two-scale convergence is insufficient to fully study the spectrum of general high-contrast problems, see [15, Chapter 5], [11]. The reason for this inconsistency is due to the presence of quasi-periodic microoscillations that persist at leading-order in general high-contrast media. In this work we appropriately develop homogenisation theory to study quasi-periodic micro-oscillations. This is achieved by extending the two-scale convergence framework to admit such oscillations. We explain the (lack of the role these micro-oscillations in the numerous previous works on high-contrast problems. Then, we apply this theory in the spectral analysis of a novel class of high-contrast media. In particular, we shall show that by relaxing the geometric assumptions in the double-porosity model leads to multi-scale homogenised models that contain a new feature: the effective wave speed depends on the quasi-momenta in a highly discontinuous fashion. Specifically, the non-standard constitutive equations for such high-contrast media exhibit spatial dispersion. The presence of this novel feature is related to the contribution of the quasi-periodic waves on the microscale. Notations We end the introduction with some words on the notation used in this article. Vectors and vector-valued functions are represented by lower-case boldface symbols with the exception of the co-ordinate points. {e 1, e 2, e 3 } denotes the Euclidean basis in R 3. For a vector u R 3, we denote by u i its component with respect to e i, and write u = (u 1, u 2, u 3 = 3 u i e i. Points in R 3 will be denoted by the symbol x and points in the unit cell := [0, 1 3 will be denoted by y. The notation i will be used to denote partial differentiation with respect to the i-th coordinate variable, and we shall replace the suffix i with x i or y i when we wish to emphasis the macroscopic or microscopic variable. Similarly, the notion div x, div y, x, and y, are used for the divergence or gradient of a function in terms of x or y. Throughout is a domain in R d, d 1, := (0, 1 d and [0, 2π d. All of the functions, even if real-valued, are considered to take values in the complex field. The space C# ( denotes the usual space of smooth -periodic functions. Whereas, C ( shall denote the space of smooth functions ϕ(y whose functions and derivatives are -quasi-periodic with respect to y: ϕ(y + e j = exp(i j ϕ(y for each y and each Euclidean basis vector e j, j = 1,..., d. Equivalently, i=1 C ( = {φ φ = e i y ψ, ψ C # ( }. Note that C0 ( = C# ( and use the latter to avoid confusion with the notation for the space compactly supported smooth functions. The Sobolev space H# 1 ( is the usual Sobolev space of H1 -periodic functions. Whereas H 1 ( is defined as the closure of C ( with respect to the H1 norm, or equivalently as H 1 ( := {e i y u # u # H 1 #( }. (1.1 Also, we note H0( 1 = H# 1 ( and, in this situation, we use the latter to avoid confusion with the Sobolev space of zero trace H 1 functions. 3

5 For subsets {S ε } ε and S of R d we say that S ε converges to S in the Hausdorff sense if the following conditions hold: 1. For every λ ε S ε such that λ ε converges to some λ 0, then λ 0 S. 2. For every λ 0 S there existsλ ε S ε such that lim ε λ ε = λ 0. We shall use the notation lim ε S ε = S when a sequence of sets S ε Hausdorff converges to S. The Einstein summation convention will not be used in this article, that is we do not sum with respect to repeated indices. 2 Quasi-periodic two-scale convergence In this section we introduce an appropriate notion of convergence that will account for the presence of microscopic oscillations that are quasi-periodic in nature. This convergence will turn out to be a natural extension of the standard (periodic two-scale convergence introduced by G. Nguetseng [27]-G. Allaire [1]. In particular, we aim to use this extended notion of two-scale convergence to study the spectral properties of operator families in homogenisation theory in a similar vein to that first introduced by V. V. Zhikov [30, 31]. 2.1 Motivation We shall motivate the notion of quasi-periodic two-scale convergence here. This motivation is based on the principle goal of characterising the spectral asymptotics of high-contrast elliptic operators. Let ε be a sequence of positive real numbers with limit zero. Consider the differential operator A ε : D(A ε L 2 (R d L 2 (R d whose action is given by A ε u := div ( a ε ( ε u and domain D(A ε consists of u for which A ε u L 2 (R d. Here a ε are -periodic measurable functions, that are bounded and elliptic: ν 1, ν 2 > 0 such that ν 1 I a ε ν 2 I. In this article, we focus on a ε that are uniformly bounded, i.e. ν 2 is independent of ε, but a ε may degenerate in the sense that ν 1 = ν 1 (ε with lim ε ν 1 (ε 0. We are interested in analysing the structure of the spectrum σ(a ε of A ε in the limit of ε. The strategy of the study is to establish the existence of some operator A 0 such that σ(a ε Hausdorff converges to σ(a 0 ; i.e. the following conditions hold: 1. For every λ ε σ(a ε such that λ ε converges to some λ 0 we deduce that λ 0 σ(a For every λ 0 σ(a 0 we find λ ε σ(a ε such that lim ε λ ε = λ 0. A crucial question is how to determine the operator A 0. For example, in classical and semi-classical highcontrast problems, A 0 turns out the be the strong two-scale resolvent homogenised limit of A ε, cf. [16,30,31]. To develop some intuition on what to expect in the general case, let us recall an important result from the spectral theory of elliptic operators with ε -periodic coefficients: the Floquet-Bloch decomposition (see for example [23] for more details. This result states that the following characterisation of σ(a ε holds: σ(a ε = σ(a ε (Θ [ Θ 0, 2π d ε where A ε (Θ : D(A ε (Θ L 2 (ε L 2 (ε, describe a family of densely defined self-adjoint operators with compact resolvent given by the action that A ε (Θu = f L 2 ( if u H# 1 (ε solves div ( a ε ( x ε eiθ x u = e iθ x f(x, x ε. 4

6 Taking the above into consideration we see that λ ε σ(a ε if, and only if, there exists Θ ε [ 0, 2π d ε and non-trivial u ε H# 1 (ε such that div ( a ε ( x ε eiθ x u ε = λε e iθ x u ε (x, x ε. By a change of variables y = x/ε and = εθ, we see that w ε (y := e i y u ε (εy solves div ( ε 2 a ε (y w ε = λε w ε (y, y, (2.1 and w ε belongs to the space of H 1 ( functions that satisfy the condition w ε (y + z = e i z w ε (y, y, z Z d, for some [0, 2π d. This condition is typically referred to as the Bloch or quasi-periodic condition and is known as the quasi-momentum. Note that = 0 is the usual periodicity condition. The Sobolev space of H 1 ( -quasi-periodic functions coincides with H 1 ( which, we recall, is be defined as H 1 ( := {e i y u # u # H 1 #( }. The general principle to observe here is that if we wish to study the asymptotic behaviour of the spectrum σ(a ε we need to keep track of the eigenfunctions that are -quasi-periodic on micro-scale y := x/ε, for all [0, 2π d. The notion of quasi-periodic two-scale convergence, introduced in Section 2.2 below, performs such a task. We note here that in the case of the whole space, as discussed above, one need not refer to a notion of quasi-periodic two-scale convergence to study the asymptotics of the spectrum; one may study the normresolvent limits of the operators A ε ( to study spectral asymptotics, cf. [18] where the point-wise (in limits or [13] where the uniform limits were considered in the double-porosity setting. That being said, for boundary-value problems, the Bloch decomposition does not hold; nevertheless, the whole space (or Bloch spectrum is expected to contribute asymptotically to the bounded domain spectrum and the precluding discussion is still relevant. It is this setting that the quasi-periodic two-scale convergence will be particularly useful. Finally, we comment that the above discussion leads to the natural question: why in previous cases considered was it sufficient to consider the standard (periodic two-scale limit of A ε to ensure spectral convergence? Or put another way, when in the asymptotic limit of ε do we need consider all quasi-periodicity and not just = 0. This shall be explained in Section Definition and basic properties This section is dedicated to the introduction of the notion quasi-periodic two-scale convergence and an exposition of results that are appropriate to homogenisation theory. Recall C# ( denotes the usual space of smooth -periodic functions and C ( = {φ φ = e i y ψ, ψ C # ( }. The following mean-value property will be important: For every ϕ C ( and every φ C 0 ( the following convergence ( lim φ(xϕ x 2 ε 0 ε dx = φ(xϕ(y 2, (2.2 holds. This fact follows by noting that the assertion holds for elements in C# (, see for example [1, Lemma 1.3], and observing that multiplication by exp( i y defines an isomorphism between C ( and C # ( that preserves absolute value. Indeed, ϕ belongs to C ( if, and only if, exp( i yϕ belongs to C # ( and ϕ = exp( i yϕ in. 5

7 We remark here that because C ( is isomorphic to C # ( = C 0 (, with isomorphism exp ( i y, then the results presented in this section 4 are immediately established for each [0, 2π 3 if proved for = 0. We shall demonstrate this with the first result of the section and omit the remaining proofs which follow in a similar manner. Definition 1. Let u ε L 2 ( be a bounded sequence and u L 2 (. Then, we say u ε (weakly 2 -quasi-periodic two-scale converges to u, denoted by u ε u, if the following convergence lim u ε (xφ(xϕ ( x ε 0 ε dx = u(x, yφ(xϕ(y dydx, φ C0 (, ϕ C ( (2.3 holds. Remark 1. Notice that for = 0, this is the standard notion of two-scale convergence. The next important result states that bounded sequences in L 2 ( are relatively compact with respect to quasi-periodic two-scale convergence. Proposition 1. If u ε is bounded in L 2 ( then, up to a subsequence, u ε weakly -quasi-periodic two-scale converges to some u L 2 (. Proof. The result has been established previously for the case = 0, see for example [1, 27, 30]. Let us consider 0. Note that the function ũ ε = exp ( i y u ε is bounded in L 2 and therefore by the assertion for = 0, up to a discarded subsequence, ũ ε (0-quasi-periodically two-scale converges to some ũ L 2 ( Q. Now, the result follows from this fact and noting that for fixed ϕ C ( one has u ε (xφ(xϕ( x ε dx = exp ( i y ũ(x, yφ(xϕ(y dydx = ũ ε (xφ(xexp ( i x ε ϕ( x ε dx, Q ũ(x, yφ(xexp ( i y ϕ(y dydx, and that exp ( i y is a smooth periodic function. Hence u ε 2 exp ( i y ũ. An important result from the point of view of homogenisation theory is that the test functions ϕ in (2.3 can be taken to be quasi-periodic elements of L 2 (, i.e. the following result holds. Proposition 2. If u ε L 2 ( -quasi-periodic two-scale converges to u L 2 (, then the following convergence lim u ε (xφ(xψ ( x ε 0 ε dx = u(x, yφ(xψ(y dydx holds for all φ C 0 (, and for all ψ L 2 ( such that ψ(y + e j = exp(i j ψ(y for almost every y and j = 1,..., d. Remark 2. If is a bounded domain, as in this article, then additionally the test functions φ can be taken to be elements of C(. The following results are of interest. Proposition For u ε L 2 ( -quasi-periodic two-scale converging to u L 2 ( one has that exp( i x ε u ε(x exp( i yu(x, y dy weakly in L 2 (. 4 The results in this section can be established by first principles making no reference to such an isomorphism. 6

8 2. For u ε L 2 ( -quasi-periodic two-scale converging to u L 2 ( then lim inf u ε (x 2 dx u(x, y 2 dydx. ε 0 A result of particular interest in high-contrast homogenisation problems is the following. Proposition 4. Let u ε H 1 ( satisfy sup u ε L 2 ( <, ε sup ε u ε L 2 ( <. ε Then, there exists u L 2 (; H 1 ( such that, up to a subsequence, the following convergences hold: u ε 2 u, ε u ε 2 y u. Recall here that H 1 ( is given by (1.1. Proof. Let φ and Ψ denote respectively fixed arbitrary elements of C 0 ( and C ( ; Cd. By Proposition 1, there exists u L 2 ( and χ L 2 ( ; C d such that, up to a discarded subsequence, the following convergences hold: u ε 2 u, ε u ε 2 χ. (2.4 Note that, since u ε is bounded in L 2 (, then εu ε strongly converges to zero in L 2 ( and from Proposition 3 part 2. we conclude that εu ε 2 0. (2.5 Let us prove that u L 2 (; H 1 (Q. Using the convergences (2.4 and (2.5 we pass to the limit in the identity ε u ε (x φ(xψ( x ε dx = u ε (xεdiv ( φ(xψ( x ε dx = u ε (xε x φ(x Ψ( x ε dx u ε (xφ(xdiv y Ψ( x ε dx, to deduce that χ(x, y φ(xψ(y dydx = u(x, yφ(xdiv y Ψ(y dydx. Therefore, for almost every x, the functions χ(x, and u(x, are related by the identity χ(x, y Ψ(y dy = u(x, ydiv y Ψ(y dy, Ψ C ( ; C d. ( It is clear that C 0 (0, 1 d C ( and so u H1 ( with y u = χ. It remains to show u belongs to H 1 (. This follows from noting that after performing integration by parts in the above identity we arrive at u(x, yψ(y ν ds(y = 0, Ψ C ( ; C d. Setting Ψ = e i y Ψ # above, for arbitrary smooth -periodic Ψ #, demonstrates that u # (x, := e i y u(x, is an element of H 1 ( that satisfies periodic boundary conditions with respect to y. That is, u # (x, H 1 # ( and so (see definition (1.1 u(x, H1 (. 7

9 We end this section with a result that is illuminating when it comes to studying the convergence of spectra for parameter-dependent operator families. It readily provides a one-sided justification for the Hausdorff convergence of the high-contrast spectra to the spectrum associated to quasi-periodic two-scale limits. This result is based on the following definition, which extends the notion of strong resolvent two-scale convergence first introduced by V. V. Zhikov in [30, 31]. Definition 2. Fix [0, 2π d, and let A ε and A be non-negative self-adjoint operators respectively defined in L 2 ( and H a closed subset of L 2 (. We say that A ε strong resolvent -quasi-periodic two-scale converges to A if for every f ε (x L 2 ( that -quasi-periodic two-scale converges to f(x, y L 2 (, the following convergence u ε = (A ε + I 1 f ε 2 u = (A + I 1 P f, as ε 0 holds. Here, P is the orthogonal projection onto H in L 2 (. Here, we state an important consequence of such resolvent convergence. The proof, omitted here, follows standard spectral theoretic arguments, see for example [30]. Proposition 5. If A ε strong resolvent -quasi-periodic two-scale converges to A then the spectrum σ(a of A is related to the spectrum σ(a ε of A ε in the following sense: For every λ σ(a there exists λ ε σ(a ε such that λ ε converges to λ as ε tends to zero. 2.3 On the relevance of quasi-periodic two-scale convergence in spectral asymptotics Proposition 5 informs us that, in principle, one should consider all strong quasi-periodic two-scale limits of an operator A ε to fully characterise its limit spectrum (in the Hausdorff sense. Yet, clearly this is not always the case: such a notion of convergence has not appeared previously, nor was it needed, to study the spectral asymptotics of classical and particular double-porosity operators. The reason for this shall be elucidated here. Moreover, at the end of this section we shall argue when quasi-periodic convergence is necessary via a model problem that we later study in detail in this article Classical homogenisation Consider the resolvent problem: For fixed f L 2 ( find u ε H 1 0 ( such that div ( a( x ε u ε + uε = f, (2.6 where the symmetric matrix-valued function a is -periodic, elliptic and bounded: ν > 0 such that The following homogenisation theorem is classical. ν ξ 2 a(yξ ξ ν 1 ξ 2, ξ C d, a.e. y. Theorem 1 (Classical homogenisation theorem. Let ε be a sequence with limit 0, and f ε L 2 ( a sequence such that f ε weakly converges in L 2 ( to some f 0 as ε tends to zero. Then u ε H 1 0 ( the solution to (2.6, for f = f ε, converges weakly in H 1 0 ( (and strongly in L 2 ( to u 0 H 1 0 ( the solution to div ( a hom u 0 + u0 = f 0. Here a hom is the constant symmetric homogenised matrix determined by a: a hom ξ ξ := a ( N + ξ ( N + ξ, ξ R d. min N H 1 # ( 8

10 It is well-known that the homogenisation theorem implies the Hausdorff convergence of spectra (cf. [2, Section 2]: lim ε σ(a ε = σ(a hom. Let us study the quasi-periodic two-scale limits of u ε. Proposition 6. Fix (0, 2π d and consider f ε L 2 2 ( such that f ε f 0. Then, u ε H0 1 ( -quasiperiodic two-scale converges to zero; that is u ε 2 0. Remark Proposition 6 informs us that for the classical resolvent problem (2.6, the non-zero quasiperiodic micro-oscillations at leading order do not contribute to the spectral asymptotics. So one need only study the = 0 quasi-periodic oscillations, i.e. the standard two-scale limit. It is well-known that the (periodic two-scale limit coincides with the classical limit provided by Theorem 1, see for example [1, 30]. 2. The part of the spectrum corresponding the -quasi-periodic micro-oscillations, for 0, actually resides in an ε 2 neighbourhood of infinity; this can be formally seen from the considerations of Section 2.1: for a ε independent of ε, the eigenvalues λ ε in (2.1 are clearly of the order ε 2. To study such high-frequency spectrum one can consider the re-scaled operator ε 2 A ε, that is consider coefficients of the form a ε = ε 2 a. The precise study of such high-frequency spectra was performed in [2] for a broader class of moderately contrasting locally periodic coefficients. Therein, the authors provide a rigorous description of the high-frequency spectral asymptotics in terms of non-trivial quasi-momenta. This was done by introducing an appropriate notion of Bloch wave homogenisation. For the reduced setting of (globally periodic coefficients, the Bloch-wave operator-limits determined therin can readily be shown to be equivalent to the -quasi-periodic two-scale limits. Proof of Proposition 6. The sequence f ε weakly converges, cf. Proposition 3 part 1., and so is bounded. Multiplying (2.6 (for f = f ε and integrating over, and using the ellipticity of a, produces the a-priori bound u ε 2 L 2 ( + ν u ε 2 L 2 ( f ε 2 L 2 ( C <. Applying Proposition 4, we deduce that there exists u L 2 (; H 1 ( such that, up to a subsequence, the following convergences hold: u ε 2 u, ε u ε 2 y u. Let us show u = 0: u ε is a bounded sequence and so ε u ε strongly converges to zero in L 2. Therefore, by Proposition 3 part 2., we deduce y u = 0. As is connected it follows that u is constant. Yet u ε H 1 ( and there are no non-trivial constant -quasi-periodic functions for 0, see (1.1. Hence, u = Double-porosity model Consider the resolvent problem: For fixed f L 2 ( find u ε H 1 0 ( such that Here div ( a ε ( x ε u ε + uε = f. (2.7 a ε (y = { a1 (y, y Q 1, ε 2 a 0 (y, y Q 0, where Q 0 is a smooth compactly contained subset of such that, for Q 1 := \Q 0, the periodic extension F 1 := z Z d (Q 1 + z forms a connected set in R d. The functions a i, i = 0, 1 are taken to be real-valued, elliptic and bounded on Q i. The following homogenisation theorem is established in [30, Theorem 5.1]. 9

11 Theorem 2. Suppose f = f ε in the right-hand side of (2.7 two-scale converges to some f 0, that is f ε 2 f 0 for = 0. Then, the sequence of solutions u ε two-scale converges to u 0 (x, y = u(x + v(x, y, where (u, v belongs to V 0 = H 1 0 ( L 2 (; H 1 0 (Q 0 and uniquely solves a hom dp x u(x x φ(x dx + a 0 (y y v(x, y y ϕ(x, y dydx + (u(x + v(x, y (φ(x + ϕ(x, y dydx = f 0 (x, y (φ(x + ϕ(x, y dydx, φ H 1 0 (, ϕ L 2 (; H 1 0 (Q 0. (2.8 Here, a hom dp by a 1 : is the constant symmetric and positive homogenised matrix for perforated domains determined a hom ( ( dp ξ ξ := min a 1 N + ξ N + ξ, ξ R d. N H# 1 (Q1 Q 1 This result informs us that A ε strongly two-scale converges to the operator A 0, defined in L 2 (, associated to the above two-scale limit resolvent problem. Therefore, by Proposition 5 for = 0, the lowersemicontinuity of the spectral convergence is ensured. In fact, Zhikov proved in [30, Theorem 8.1], under the condition that F 1 is connected in R d, the stronger result lim ε σ(a ε = σ(a 0. Let us determine the strong resolvent quasi-periodic two-scale limits of A ε. Proposition 7. Fix (0, 2π d 2. Suppose f = f ε in the right-hand side of (2.7 such that f ε f 0 to some f 0 L 2 (. Then, the sequence of solutions u ε -quasi-periodically two-scale converges to v 0 (x, y L 2 (; H0 1 (Q 0 the solution to a 0 (y y v 0 (x, y y ϕ(x, y dydx + v(x, y ϕ(x, y dydx = f 0 (x, y ϕ(x, y dydx, ϕ L 2 (; H 1 0 (Q 0. (2.9 Remark Note that A = A is independent of for 0, and its spectrum is the point spectrum given by the operator whose action is u div(a 0 u with domain {u H0 1 (Q 0 div(a 0 u L 2 (Q 0 }. 2. It is easy to see A A 0 (by noting that setting u = φ = 0 in (2.8 gives (2.9 and so σ(a = σ(a σ(a 0. The set 0 σ(a, 0 is the limit spectrum arriving from quasi-periodic micro-oscillations. 3. The restriction of the limit spectrum σ(a 0 to 0 σ(a is achieved by considering the purely macroscopic component u(x (of eigenfunctions to be zero. For this reason, we coin this spectrum to be pure Bloch spectrum. In the simplified setting of double-porosity the pure Bloch spectrum is point spectrum (due to the fact A = A is independent of for 0. In general, we expect this spectrum to have band-gap structure, 10

12 and the gaps have only contracted to points here due to the geometric constraint that F 1 is connected in R d. This expectation is verified in Section Even though the strong resolvent -quasi-periodic limit of A ε exists, it has trivial dependence on, 0 and more importantly is a restriction of the two-scale limit A 0. Hence, one need only consider A 0, and this explains why in this setting one is to expect Zhikov s result lim ε σ(a ε = σ(a 0. In general, the limit A 0 will not be sufficient to capture the full spectral asymptotics. Proof of Proposition 7. Let us consider a 1 (respect. a 0 to be extended by zero into Q 0 (respect Q 1, and consider ν > 0 to be the constant such that The solution u ε solves a 1 + a 0 ν. (a 1 ( x ε + ε2 a 0 ( x ε u ε φ + u ε φ = f ε φ, φ H 1 0 (. (2.10 Setting φ = u ε in the above variational problem and using the fact that a 1 + a 0 ν, we deduce the a-priori bound (for ε 1 u ε 2 L 2 ( + ν ε u ε 2 L 2 ( f ε 2 L 2 ( C <. Additionally, we have the bound Indeed, a 1 0 and a 1 ( x ε u ε u ε a 1 ( x ε u ε 2 L 2 ( f ε 2 L 2 ( C <. (a 1 ( x ε + ε2 a 0 ( x ε u ε u ε + By Proposition 4 it follows that, up to a discarded subsequence, for some v 0 L 2 (; H 1 (Q. Let us show that v 0 L 2 (; H 1 0 (Q 0. By Proposition 2 it follows that u ε 2 = f ε u ε. u ε 2 v 0, and ε u ε 2 y v 0, (2.11 a1 ( x ε ε u ε 2 a 1 (y y v 0. Yet a 1 ( x ε ε u ε strongly converges to zero in L 2 (. Therefore a 1 (y y v 0 = 0, which is equivalent to y v 0 = 0 on Q 1 (recall a 1 is positive on Q 1 and zero on Q 0. As Q 1 is connected then v 0 is constant in Q 1. Now, since the periodic extension F 1 = z Z d(q 1 + z forms a connected set then v 0 is constant in F 1. Yet, v 0 H 1 ( for 0 and consequently this constant is zero, cf (1.1. It remains to prove v 0 solves (2.9. This can easily be deduced by passing the the -quasi-periodic limit in (2.10 for test functions φ(x = ψ(xϕ( x ε, ψ H1 0 (, ϕ H0 1 (Q 0 and using convergences ( An example with non-trivial quasi-periodic limits Let us provide an example which demonstrates that in general the family A, of strong resolvent -quasiperiodic limits to A ε, are not restrictions of A 0. Suppose, we consider (2.7 for coefficients a ε = a 1 + ε 2 a 0, 11

13 and a i are real-valued -functions such that a 1 0 and a 1 + a 0 ν > 0. Let f ε be a bounded sequence and u ε solve (2.7 for f = f ε. Arguing as in the proof of Proposition 7, we see that u ε to solution to (2.7 will satisfy the a-priori bounds u ε 2 L 2 ( + ν ε u ε 2 L 2 ( + a 1 ( x ε u ε 2 L 2 ( f ε 2 L 2 ( C <. In particular, Proposition 4 informs us that up to a subsequence u ε 2 u 0, and ε u ε 2 y u 0, for some u 0 L 2 (; H 1 (Q. Moreover, by an application of Proposition 2 we deduce that a1 y u 0 = 0. Denoting by V the closed linear subspace of H 1 ( given by5 V = {v H 1 ( a 1 y v = 0}. Suppose we show an example where V is not a subset of V 0 for some non-trivial V, 0. Then, for such examples we should not expect that A 0 is an extension of A, nor should we expect σ(a σ(a 0. Let us provide such an example. The conjectures (stated immediately above based on this example will be proved rigorously in the remainder of the article. Suppose Q 1 is the cylinderical domain Q 1 := [0, 1 [ 1 4, 3 4 ]2, and a 1 (y := { 1, y Q1, 0, y Q 0. Notice that F 1 := z Z 3(Q 1 + z the periodic extension of Q 1 into R d consists of infinitely many mutually disjoint cylinders C l := R [ l 1, l 2] 2, l Z 2. That is, the assumptions of Subsection 2.3.2, and in particular [30, 31], do not hold. Now v V if, and only if, v H 1 ( with v = c for some c C on Q 1. This implies, cf (1.1, that v(1, y 2, y 3 = e i1 v(0, y 2, y 3, (y 1, y 2 (0, 1 2, j {1, 2, 3}, (in the sense of trace. Then, for (y 2, y 3 ( 1 4, we arrive at the condition c = e i1 c. Therefore, if 1 0, then the above condition only holds if c = 0. That is v must necessarily be zero on Q 1. On the other hand, if 1 = 0 then any H 1 ( function that is constant on Q 1 belongs to V. In particular we see that V does not belong to V 0 for all (0, 2π 3. Remark 5. Note that if Q 1 contains a connected subset which joins two opposite faces of the square then the space V non-trivially depends on. Consequently, non-trivial limit Bloch spectrum is expected for aligned orthogonally to these faces. The remainder of the article is dedicated to determining the strong quasi-periodic two-scale limits of A ε for such fibre-like inclusions. Moreover, we demonstrate that indeed A are not restrictions of A 0 and that σ(a form non-trivial subsets of lim ε σ(a ε. 5 The space V 0 was first introduced in [29] and coined the space of microscopic oscillations. We have appropriately extended this notion to -quasi-periodic oscillations here, 0. 12

14 3 Problem formulation and Homogenisation In this article we are concerned with the asymptotic analysis of the resolvent problem { Find uε H 1 0 ( such that div ( a ε ( x ε u ε + uε = f ε in (3.1 where ε < 1 is a small parameter, is a smooth open bounded star-shaped domain 6 and f ε L 2 ( known. The coefficient a ε is given by a ε (y = { a1 (y, y Q 1, ε 2 a 0 (y, y Q 0, 0 a i, a 1 i L (Q i, a i = 0 on Q 1 i, i = 0, 1, (3.2 and the regions Q 0 and Q 1 are described as follows (cf. Figure 2. Geometric assumptions. For j = 1, 2, 3 we consider smooth domains S j compactly contained in (0, 1 2 that have mutually disjoint closures. We denote by C j the cylinder aligned to the j-th co-ordinate axis with cross-section S j, i.e. C 1 := {y (0, 1 3 y (0, 1 S1 }, C 2 := {y (0, 1 3 y = (z2, z 3, z 1, z (0, 1 S 2 } and C 3 := {y (0, 1 3 y = (z 3, z 1, z 2, z (0, 1 S 3 }. Then, for a given non-empty subset I of {1, 2, 3}, we consider Q 1 = i I C i. We denote by Γ i = C i \ Q and Γ = i I Γ i = Q 1 \ Q. Figure 2: a An example stiff component Q 1 consisting of one cylinder C 1 extending in the x 1 direction, i.e. I = {1}. b The stiff component Q 1 consists of two disjoint cylinders extending in the co-ordinate directions x 1, and x 3, i.e. I = {1, 3}. c Q 1 consists of mutually disjoint cylinders extending in all co-ordinate directions, i.e. I = {1, 2, 3}. Under this geometric assumption we determine for each [0, 2π 3 the strong resolvent -quasi-periodic two-scale limit, cf. Section 2, of the self-adjoint operator A ε associated to resolvent problem (3.1. That is, for a fixed [0, 2π 3 and a given bounded sequence f ε L 2 2 ( such that f ε f, i.e. lim ε 0 f ε (xφ(xϕ ( x ε dx = f(x, yφ(xϕ(y dydx, φ C 0 (, ϕ C ( we aim to determine the -quasi-periodic two-scale limit behaviour of the solution u ε H0 1 ( to ( a1 ( x ε + ε2 a 0 ( x ε u ε (x φ(x dx + u ε (xφ(x dx = f ε (xφ(x dx, φ C0 (. (3.3 As f ε is bounded in L 2 (, upon setting φ = u ε in (3.3 we deduce that the sequences a 1 ( ε u ε L2 (;C 3, ε u ε L2 (;C 3, and u ε L2 (, (3.4 6 All the results and proofs follow through in an identical manner for the case where is the whole space. 13

15 are bounded. Let us describe the -quasi-periodic two-scale limit, referring to Section 4 for the details. The limit of u ε (x will be a function u(x, y, of two variables x, y Q, that is -quasi-periodic with respect to the second variable y, cf Proposition 4. Furthermore, due to the fact that in each cylinder C i, i I, the gradient of u ε is bounded, the limit u necessarily belongs to the (Bochner space L 2 (; V where V := {v H 1 (Q v is constant in C i for each i I}. (3.5 It follows from this (see (1.1 that u is non-zero in cylinder C i if and only if the i-th component i of is zero. If i = 0, then we determine that u i is not only non-trivial but it is actually more regular in the x i -th coordinate direction: xi u i L 2 (. More precisely, for I the subset of indexes I {1, 2, 3} given by I := {i I i = 0}, we denote by C the closed subspace of C 3 spanned by {e i } i I, 7 and show that the function u belongs to the set U = { u L 2 (; H 1 (Q u = ui on C i, for some u L 2 (; C with i u i L 2 ( and u i ν i = 0 on }, (3.6 which is clearly a Hilbert space when endowed with the inner product (u, v U := i u i (x i v i (x dx + y u(x, y y v(x, y dydx i I Q 0 + u(x, yv(x, y, dydx. Here, ν is the outer unit normal to. For each fibre C i there corresponds an effective constant material parameter a hom i > 0 given by a hom i = a 1 (y[ yi N (i (y + 1] dy, (3.7 C i where N (i H# 1 i (C i := {u H 1 (C i u is 1-periodic in the variable y i } is the unique solution to the cell problem a 1 (y [ N (i ] (y + e i φ(y dy = 0, φ H 1 #i (C i, C i (3.8 N (i = 0. C i Then, for each [0, 2π 3, the -quasi-periodic two-scale limit problem is formulated as follows: For f L 2 ( Q find u U such that a hom i xi u i (x xi φ i (x dx + a 0 (y y u(x, y y φ(x, y dydx i I Q 0 (3.9 + u(x, yφ(x, y dydx = f(x, yφ(x, y dydx, φ U. As a hom i Q Q are positive numbers and a 1 0 L (Q 0 it follows that the left-hand side of the above problem defines an equivalent inner product on the space U, and consequently the existence and uniqueness of solutions u to (3.9 are ensured by the Riesz representation theorem. Setting φ = 0 on Q 1 in (3.9 gives the equation div y ( a0 (y y u(x, y + u(x, y = f(x, y, x, y Q 0, 7 Note that C is either the whole space, a plane or a line in C 3. Q 14

16 and a subsequent integration by parts in (3.9 leads to the variational formula a hom i xi u i (x xi φ i (x dx + ( a 0 (y y u(x, y n(y dy φ i (xdx i I i I Γ i + C i u i (xφ i (xdx = ( f(x, y dy φ i (xdx, i I i I C i for all φ L 2 (, C, such that i φ i L 2 (. For each fixed j I we set φ j = φ, φ C0 ( and φ i = 0 for i j, above. This leads to the -quasi-periodic two-scale homogenised system of equations. a hom j x 2 j u j (x + T j (u + C j u j = f j (x, x, for each j I ( : div y a0 (y y u(x, y + u(x, y = f(x, y, x, y Q 0, (3.10 u 0 = u j on Γ j, u j ν j = 0 on, Here and u 0 = 0 on Γ i, for i I\I. T j (u(x = a 0 (y y u(x, y n(y ds(y, Γ j f j (x = f(x, y dy, C j for n the outer unit normal of Γ j = C j \ Q. We now state the main result of the article. Theorem 3. Consider f ε L 2 (, f L 2 ( Q such that f ε 2 f, and u ε the solution to (3.3. Then u ε converges, up to some subsequence, in the -quasi-periodic sense to u U the unique solution to (3.9, equivalently (3.10. An immediate consequence of Theorem 3 is that for each [0, 2π 3, the operator A ε strong resolvent -quasi-periodically two-scale converges to the operator A hom associated to problem (3.10, see Definition 2 in Section 2. Consequently, Proposition 5 informs us that the lower semi-continuity of the spectra in the Hausdorff sense is ensured: for every λ σ(a hom λ ε σ(a ε such that lim λ ε = λ. ε 0 [0,2π 3 The structure of the limit spectrum 10. σ(a hom [0,2π 3 is analysed in Section 6 and described in Proposition Remark 6. A seperate issue, not explored here, is the so-called spectral completeness statement, i.e. the question of whether or not the remaining criterion for Hausdorff convergence of spectra is satisfied: does it follow that for every λ ε such that lim λ ε = λ, then λ? ε 0 [0,2π 3 σ(a hom In general this will not be true due to the presence of the boundary, and the fact that Q 0 intersects the boundary. This leads to the expectation that there exists non-trivial spectrum due to surface waves asymptotically localised near the boundary, cf. [2] for analoguous results in the context of classical locally periodic media. For the case of being the torus or the whole space the above assertion is expected to hold and will be explored in future works. 4 Proof of the homogenisation theorem This section is dedicated to the proof of Theorem 3. To do this, we shall develop an appropriate quasi-periodic two-scale variation of a powerful method first introduced in [21] in the context of standard (periodic twoscale convergence, i.e. -quasi-periodic two-scale convergence for = 0. In what follows φ, ϕ and Φ will denote respectively fixed arbitrary elements of C 0 (, C (Q and C (Q; C3. 15

17 4.1 Technical preliminaries The following results will be of importance in the proof of the homogenisation theorem. Lemma 1. Let B be the closure of a smooth domain and let B 1 be a smooth bounded domain such that B B 1 and A = B 1 \B is a connected set. Then every u H 1( (0, 1 A can be extended to (0, 1 B 1 as a function ũ H 1( (0, 1 B 1 such that ũ 2 c u 2, (0,1 B 1 (0,1 A (4.1 ũ 2 c u 2, (0,1 B 1 where c does not depend on u H 1 ((0, 1 A. (0,1 A Proof. Suppose u H 1( (0, 1 A. Then, by Fubini s theorem, for almost every x 1 (0, 1 the function u(x 1, belongs to H 1 (A and let Eu(x 1, be the Sobolev extension of u(x 1, into B 1 given in [19, Lemma 3.2, pg. 88]. In particular, one has Eu(x 1, 2 c u(x 1, 2, B 1 A (4.2 Eu(x 1, 2 c u(x 1, 2, B 1 A where c does not depend on u nor x 1. Here, denotes the gradient vector (0, x2, x3. Consider ũ given by u(x 1, := Eu(x 1,, a.e. x 1 (0, 1. (4.3 Then u(x1, = Eu(x 1, and from assertion (4.2 it follows that ũ 2 c u 2, (0,1 B 1 (0,1 A ũ 2 c u 2. (0,1 B 1 (0,1 A To prove (4.1, it remains to demonstrate that x1 ũ L 2( (0, 1 B 1 and 1 0 B 1 x1 ũ 2 (x 1, x dx dx 1 c For each t R, the difference quotient is given by 1 D t ũ(x 1, x := ũ(x 1 + t, x ũ(x 1, x, t 0 A x1 u 2 (x 1, x dx dx 1. (4.4 where we have extended ũ trivially by zero into R\(0, 1. Notice that D t ũ = ED t u, i.e. the extension into B 1 of the function u(x1+t, u(x1, t = D t u(x 1 + t,, and consequently 1 1 D t ũ 2 (x 1, x dx dx 1 c D t u 2 (x 1, x dx dx 1. 0 B 1 0 A Since D t u converges strongly in L 2( (0, 1 A to x1 u, it follows that D t ũ is a Cauchy sequence ( in L 2( (0, 1 B 1 and this limit can be identified, using the fact that (Dt ũ, φ L 2 = (ũ, D t φ L 2 for φ C0 (0, 1 B1, as x1 ũ. Furthermore, passing to the limit in the above inequality yields (

18 Proposition 8. Fix [0, 2π 3. There exists a constant C = C > 0 such that inf v V u v H 1 (Q C a 1 u L2 (Q, u H 1 (Q. Here V = ker a 1 = {u H 1 (Q a 1 u 0}. Proof. For each i I, let S i be the cross-section of the cylinder C i. Since S i are compactly contained in (0, 1 2 and have mutually disjoint closures then there exists open A i such that S i A i (0, 1 2 and A i are mutually disjoint. Let χ i C0 (A i be smooth cut-off functions that are identity on S i, we extend χ i by zero to (0, 1 2. Now using Lemma 1, let ũ i be the extension of u Ci H 1 (C i to H 1 (D i, where D i is the cylinder whose axis is parallel to y i with cross-section A i. Note that since u is i -quasi-periodic in the variable y i, then the extension will be also, see (4.3. By Lemma 1 it follows that ũ i 2 c D i u i 2. C i (4.5 For i 0, the following Poincaré inequality ũ i 2 i 2 D i holds 8. For i = 0, one has D i ũ i 2 (4.6 ũ i ũ i 2 C D i ũ i 2 D i (4.7 for some C > 0. Here ũ i := 1 D i D i ũ i. Recalling, I = {i I i = 0}, we set ũ = i I χ i(ũ i ũ i + i I\I χ iũ i, here χ i are taken to be constant in the variable y i and as above the complementary directions. It follows that ũ H 1 (Q and u ũ V. Note that, by construction and inequalities (4.6, and (4.7, one has ũ 2 H 1 (Q c ũ i 2 L 2 (D. i Now, the positivity of a 1 on Q 1 and (4.5 imply that the element v := u ũ of V is such that u v 2 H 1 (Q = ũ 2 H 1 (Q C a 1 u 2, Q 1 and the result follows. i I 4.2 Proof of Theorem 3 Consider the sequence u ε of solutions to (3.3, i.e. ( a1 ( x ε + ε2 a 0 ( x ε u ε (x φ(x dx + u ε (xφ(x dx = 2 for f ε f, and recall, cf. (3.4, that sup ε f ε (xφ(x dx, φ C 0 (. (4.8 ( a1 ( ε u ε L 2 (;C 3 + ε u ε L 2 (;C 3 + u ε L 2 ( <. (4.9 8 This follows from noting the lower bound on the spectrum of the laplacian on the space of H 1 (D i functions that are i -quasi-periodic in direction y i. 17

19 Consequently, Proposition 4 informs us that a subsequence of u ε -quasi-periodic two-scale converges to some u L 2 (; H 1(Q, and moreover ε u 2 ε y u. Let us study the structure of this limit u further. We begin by introducing the densely defined unbounded linear operator a 1 : H 1(Q L2 (Q L 2 (Q; C 3 which is given by the action w a 1 w, for w H 1 (Q. We now argue that a generalised Weyl s decomposition holds, which was first introduced and proved for the case = 0 in [21]. Lemma 2. Let ( a 1 denote the adjoint of a 1. Then, the orthogonal decomposition holds. L 2 (Q; C 3 = ker ( ( a 1 Ran( a 1 Remark 7. Lemma 2 is a generalisation of the well-known fact that (periodic divergence-free vector fields are mutually orthogonal to gradients of (periodic potentials in L 2. In fact, this classical result can be deduced from the above lemma by (formally 9 setting a 1 = I on. Proof of Lemma 2. By the Banach closed ranged theorem, this result will follow if we demonstrate that the range of a 1 is closed, and this fact is implied by Proposition 8. Indeed, suppose u n Ran( a 1 converges strongly in L 2 (Q; C 3 to some u as n, i.e. there exists w n H 1(Q such that a 1 w n converges strongly in L 2 (Q; C 3 to u. By Proposition 8, the sequence wn, where wn denotes the orthogonal projection of w n onto the orthogonal complement V of V in H 1 (Q, is a Cauchy sequence in H 1(Q and therefore converges, up to some subsequence, to w H1 (Q. In particular, a1 w n = a 1 wn converges strongly in L 2 (Q to a 1 w and, consequently u = a 1 w. Hence, the range of a 1 is closed. Let us now describe u in detail. Lemma 3. The function u belongs to the Bochner space L 2 (; V. Proof. Recall that V = {v H 1 (Q v = 0 in Q1 } = ker( a 1, and so we aim to show that a 1 u = 0. On the one hand we deduce from (4.9 and (2.2 that lim ε a 1 ( ε 0 x ε u ε φ(xφ( x ε dx = 0. 2 Yet, on the other hand, Proposition 2 and the assertion ε u ε y u imply lim ε a 1 ( ε 0 x ε u ε φ(xφ( x ε dx = lim ε u ε φ(xa 1 ( x ε 0 ε Φ( x ε dx = a 1 (y y u(x, y φ(xφ(y dx. Therefore, as finite sums of φ(xφ(y are dense in L 2 ( Q; C 3 it follows that a 1 y u = 0 and since a1 1 L (Q we find that u L 2 (; V. The following result is of fundamental importance in characterising the (-quasi-periodic limit of the flux a 1 ( ε u ε in terms of the limit u of the function u ε. Put another way, this identity is crucial for determining the homogenised coefficients. 9 In fact, as expected the proof of this statement for I is much easier as I is positive where as a 1 is non-negative. Q 18

20 Lemma 4. There exists ξ L 2 ( Q; C 3 such that, up to a subsequence, a 1 ( ε u 2 ε ξ. Moreover, ξ belongs to the Bochner space L 2( ; ker ( ( a 1 and the pair (u, ξ satisfies the identity ξ(x, y φ(xψ(y dydx = a1 (yu(x, y x φ(x Ψ(y dydx, Q Q φ C (, Ψ ker ( ( a 1 (4.10. Proof. By Proposition 1 and (4.9 there exists ξ L 2 ( Q; C 3 such that, up to a subsequence that we discard, one has a1 ( ε u 2 ε ξ. (4.11 To prove ξ L 2( ; ker ( ( a 1, we take in (4.8 test functions of the form εφ(xϕ( x ε, φ C 0 (, ϕ C (Q, and use (4.9, (4.11 to pass to the limit in ε and deduce that a1 (yξ(x, y φ(x y ϕ(y dydx = 0. Q Therefore, for almost every x one has a1 (yξ(x, y y ϕ(y dy = 0, Q ϕ H 1 (Q, and, hence by Lemma 2 it follows that ξ(x, y L 2( ; ker ( ( a 1. Let us now prove assertion (4.10. Henceforth, we consider Ψ ker ( ( a 1 to be -quasi-periodically extended to R 3. We shall prove below the following integration by parts formula: a1 ( x ε u ε(x φ(xψ( x ε dx = a1 ( x ε u ε(x x φ(x Ψ( x ε dx, φ C (, Ψ ker ( ( a 1 ( Using Proposition 2, (4.11 and the convergence u ε u, we pass to the limit in the above formula to readily arrive at (4.10. To prove (4.12, it is sufficient to prove the following: for every w H 1 (R 3 one has a1 ( x ε w(x Ψ( x ε dx = 0. (4.13 R 3 Indeed, (4.12 follows from utilising (4.13 and the following facts: for φ C ( then u ε φ belongs to H 1 0 (, as u ε H 1 0 (, and can be trivially extended to H 1 (R 3, and that a1 ( x ε u ε(x φ(xψ( x ε dx = a1 ( x ε (u εφ(x Ψ( x ε dx a1 ( x ε u ε(x x φ(x Ψ( x ε dx. Let us now prove (4.13. For Q (z ε = 3 i=1 ε(z i, z i + 1, z Z 3, it follows that a1 ( x ε w(x Ψ( x ε dx a1 ( x ε w(x Ψ( x ε dx = R 3 z Z 3 = ε 3 z Z 3 Q (z ε Q a1 (y w(εy + εz exp(i zψ(y dy, 19

21 where the last equality comes from the change of variables x = ε(y + z and recalling that a 1 (y is periodic and Ψ is -quasi-periodic. By noting, for w H 1 (R 3, that w ε (y := z Z 3 w(εy + εzexp( i z, y Q, is an element of H 1 (Q, and that w ε (y := ε z Z 3 w(εy + εzexp( i z, y Q, the identity (4.13 follows. We are now ready to describe the properties of the macroscopic part of u and express the flux ξ in terms of u. Lemma 5. Let (u, ξ, u L 2 (; V and ξ L 2 (; ker ( ( a 1, be a pair which satisfies the identity (4.10. Then, u U, see (3.6. That is, for every for i I = {i I i = 0}, one has u = u i on C i, where i u i L 2 ( with u i ν i = 0 on, for ν the outer unit normal to. Furthermore, ξ(x, y = a 1 (y i I xi u i (x1 Ci (y[ y N (i (y + e i ], x, y Q 1. (4.14 Here, N (i solve (3.8. The following result immediately follows from the above lemma. Proposition 9. For every for i I, one has C i a1 (yξ(x, y dy = a hom i xi u i (xe i, for almost every x. Here, a hom are given by (3.7, i.e. a hom i = C i a 1 (y[ yi N (i (y + 1] dy > 0, for N (i H# 1 i (C i = {u H 1 (C i u is 1-periodic in the variable y i } is the unique solution to the cell problem a 1 (y [ N (i ] (y + e i φ(y dy = 0, φ H 1 #i (C i, C i (4.15 N (i = 0. C i Proof. Equation (4.14 implies a1 (yξ(x, y dy = xi u i (x a 1 (y[ y N (i (y + e i ] dy. C i C i For each j {1, 2, 3}\{i}, we set φ = y j in (4.15 to determine that a 1 (y [ y N (i ] (y + e i yj (y dy = a 1 (y [ y N (i ] (y + e i dy ej = 0. C i C i Hence, it follows that a1 (yξ(x, y dy = xi u i (x a 1 (y[ y N (i (y e i + 1]e i dy C i C i = a hom i xi u i (xe i, 20

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

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

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

Analysis Preliminary Exam Workshop: Hilbert Spaces

Analysis Preliminary Exam Workshop: Hilbert Spaces Analysis Preliminary Exam Workshop: Hilbert Spaces 1. Hilbert spaces A Hilbert space H is a complete real or complex inner product space. Consider complex Hilbert spaces for definiteness. If (, ) : H H

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

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

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

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

Existence of minimizers for the pure displacement problem in nonlinear elasticity

Existence of minimizers for the pure displacement problem in nonlinear elasticity Existence of minimizers for the pure displacement problem in nonlinear elasticity Cristinel Mardare Université Pierre et Marie Curie - Paris 6, Laboratoire Jacques-Louis Lions, Paris, F-75005 France Abstract

More information

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms (February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops

More information

The Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation:

The Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: Oct. 1 The Dirichlet s P rinciple In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: 1. Dirichlet s Principle. u = in, u = g on. ( 1 ) If we multiply

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 K. D. Cherednichenko and S. Cooper July 16, 2015 Abstract We study the asymptotic behaviour of the resolvents A ε + I

More information

1. Subspaces A subset M of Hilbert space H is a subspace of it is closed under the operation of forming linear combinations;i.e.,

1. Subspaces A subset M of Hilbert space H is a subspace of it is closed under the operation of forming linear combinations;i.e., Abstract Hilbert Space Results We have learned a little about the Hilbert spaces L U and and we have at least defined H 1 U and the scale of Hilbert spaces H p U. Now we are going to develop additional

More information

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite

More information

Hilbert space methods for quantum mechanics. S. Richard

Hilbert space methods for quantum mechanics. S. Richard Hilbert space methods for quantum mechanics S. Richard Spring Semester 2016 2 Contents 1 Hilbert space and bounded linear operators 5 1.1 Hilbert space................................ 5 1.2 Vector-valued

More information

Math212a1413 The Lebesgue integral.

Math212a1413 The Lebesgue integral. Math212a1413 The Lebesgue integral. October 28, 2014 Simple functions. In what follows, (X, F, m) is a space with a σ-field of sets, and m a measure on F. The purpose of today s lecture is to develop the

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

1 Math 241A-B Homework Problem List for F2015 and W2016

1 Math 241A-B Homework Problem List for F2015 and W2016 1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let

More information

Durham Research Online

Durham Research Online Durham Research Online Deposited in DRO: 23 May 2017 Version of attached le: Accepted Version Peer-review status of attached le: Peer-reviewed Citation for published item: Dabrowski, K.K. and Lozin, V.V.

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

Method of Homogenization for the Study of the Propagation of Electromagnetic Waves in a Composite Part 2: Homogenization

Method of Homogenization for the Study of the Propagation of Electromagnetic Waves in a Composite Part 2: Homogenization , July 5-7, 2017, London, U.K. Method of Homogenization for the Study of the Propagation of Electromagnetic Waves in a Composite Part 2: Homogenization Helene Canot, Emmanuel Frenod Abstract In this paper

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

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

Part III. 10 Topological Space Basics. Topological Spaces

Part III. 10 Topological Space Basics. Topological Spaces Part III 10 Topological Space Basics Topological Spaces Using the metric space results above as motivation we will axiomatize the notion of being an open set to more general settings. Definition 10.1.

More information

MATH 4200 HW: PROBLEM SET FOUR: METRIC SPACES

MATH 4200 HW: PROBLEM SET FOUR: METRIC SPACES MATH 4200 HW: PROBLEM SET FOUR: METRIC SPACES PETE L. CLARK 4. Metric Spaces (no more lulz) Directions: This week, please solve any seven problems. Next week, please solve seven more. Starred parts of

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

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

Inequalities of Babuška-Aziz and Friedrichs-Velte for differential forms

Inequalities of Babuška-Aziz and Friedrichs-Velte for differential forms Inequalities of Babuška-Aziz and Friedrichs-Velte for differential forms Martin Costabel Abstract. For sufficiently smooth bounded plane domains, the equivalence between the inequalities of Babuška Aziz

More information

Magnetic wells in dimension three

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

More information

Chapter 2 Metric Spaces

Chapter 2 Metric Spaces Chapter 2 Metric Spaces The purpose of this chapter is to present a summary of some basic properties of metric and topological spaces that play an important role in the main body of the book. 2.1 Metrics

More information

COMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE

COMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE COMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE MICHAEL LAUZON AND SERGEI TREIL Abstract. In this paper we find a necessary and sufficient condition for two closed subspaces, X and Y, of a Hilbert

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

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify

More information

Durham Research Online

Durham Research Online Durham Research Online Deposited in DRO: 25 March 2015 Version of attached le: Published Version Peer-review status of attached le: Peer-reviewed Citation for published item: Grellscheid, David (2004)

More information

Vector Spaces. Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms.

Vector Spaces. Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms. Vector Spaces Vector space, ν, over the field of complex numbers, C, is a set of elements a, b,..., satisfying the following axioms. For each two vectors a, b ν there exists a summation procedure: a +

More information

On John type ellipsoids

On John type ellipsoids On John type ellipsoids B. Klartag Tel Aviv University Abstract Given an arbitrary convex symmetric body K R n, we construct a natural and non-trivial continuous map u K which associates ellipsoids to

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

i=1 α i. Given an m-times continuously

i=1 α i. Given an m-times continuously 1 Fundamentals 1.1 Classification and characteristics Let Ω R d, d N, d 2, be an open set and α = (α 1,, α d ) T N d 0, N 0 := N {0}, a multiindex with α := d i=1 α i. Given an m-times continuously differentiable

More information

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books.

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books. Applied Analysis APPM 44: Final exam 1:3pm 4:pm, Dec. 14, 29. Closed books. Problem 1: 2p Set I = [, 1]. Prove that there is a continuous function u on I such that 1 ux 1 x sin ut 2 dt = cosx, x I. Define

More information

Sobolev spaces. May 18

Sobolev spaces. May 18 Sobolev spaces May 18 2015 1 Weak derivatives The purpose of these notes is to give a very basic introduction to Sobolev spaces. More extensive treatments can e.g. be found in the classical references

More information

Fourier Transform & Sobolev Spaces

Fourier Transform & Sobolev Spaces Fourier Transform & Sobolev Spaces Michael Reiter, Arthur Schuster Summer Term 2008 Abstract We introduce the concept of weak derivative that allows us to define new interesting Hilbert spaces the Sobolev

More information

Asymptotic distribution of eigenvalues of Laplace operator

Asymptotic distribution of eigenvalues of Laplace operator Asymptotic distribution of eigenvalues of Laplace operator 23.8.2013 Topics We will talk about: the number of eigenvalues of Laplace operator smaller than some λ as a function of λ asymptotic behaviour

More information

Introduction to Real Analysis Alternative Chapter 1

Introduction to Real Analysis Alternative Chapter 1 Christopher Heil Introduction to Real Analysis Alternative Chapter 1 A Primer on Norms and Banach Spaces Last Updated: March 10, 2018 c 2018 by Christopher Heil Chapter 1 A Primer on Norms and Banach Spaces

More information

SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS

SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS TSOGTGEREL GANTUMUR Abstract. After establishing discrete spectra for a large class of elliptic operators, we present some fundamental spectral properties

More information

Lecture 4 Lebesgue spaces and inequalities

Lecture 4 Lebesgue spaces and inequalities Lecture 4: Lebesgue spaces and inequalities 1 of 10 Course: Theory of Probability I Term: Fall 2013 Instructor: Gordan Zitkovic Lecture 4 Lebesgue spaces and inequalities Lebesgue spaces We have seen how

More information

are Banach algebras. f(x)g(x) max Example 7.4. Similarly, A = L and A = l with the pointwise multiplication

are Banach algebras. f(x)g(x) max Example 7.4. Similarly, A = L and A = l with the pointwise multiplication 7. Banach algebras Definition 7.1. A is called a Banach algebra (with unit) if: (1) A is a Banach space; (2) There is a multiplication A A A that has the following properties: (xy)z = x(yz), (x + y)z =

More information

A Brief Introduction to Functional Analysis

A Brief Introduction to Functional Analysis A Brief Introduction to Functional Analysis Sungwook Lee Department of Mathematics University of Southern Mississippi sunglee@usm.edu July 5, 2007 Definition 1. An algebra A is a vector space over C with

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

On Unitary Relations between Kre n Spaces

On Unitary Relations between Kre n Spaces RUDI WIETSMA On Unitary Relations between Kre n Spaces PROCEEDINGS OF THE UNIVERSITY OF VAASA WORKING PAPERS 2 MATHEMATICS 1 VAASA 2011 III Publisher Date of publication Vaasan yliopisto August 2011 Author(s)

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

HOMOGENIZATION OF INTEGRAL ENERGIES UNDER PERIODICALLY OSCILLATING DIFFERENTIAL CONSTRAINTS

HOMOGENIZATION OF INTEGRAL ENERGIES UNDER PERIODICALLY OSCILLATING DIFFERENTIAL CONSTRAINTS HOMOGENIZATION OF INTEGRAL ENERGIES UNDER PERIODICALLY OSCILLATING DIFFERENTIAL CONSTRAINTS ELISA DAVOLI AND IRENE FONSECA Abstract. A homogenization result for a family of integral energies u ε fu εx

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, ETC., FOR MATH 515 THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every

More information

JUHA KINNUNEN. Harmonic Analysis

JUHA KINNUNEN. Harmonic Analysis JUHA KINNUNEN Harmonic Analysis Department of Mathematics and Systems Analysis, Aalto University 27 Contents Calderón-Zygmund decomposition. Dyadic subcubes of a cube.........................2 Dyadic cubes

More information

The following definition is fundamental.

The following definition is fundamental. 1. Some Basics from Linear Algebra With these notes, I will try and clarify certain topics that I only quickly mention in class. First and foremost, I will assume that you are familiar with many basic

More information

CHAPTER VIII HILBERT SPACES

CHAPTER VIII HILBERT SPACES CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)

More information

16 1 Basic Facts from Functional Analysis and Banach Lattices

16 1 Basic Facts from Functional Analysis and Banach Lattices 16 1 Basic Facts from Functional Analysis and Banach Lattices 1.2.3 Banach Steinhaus Theorem Another fundamental theorem of functional analysis is the Banach Steinhaus theorem, or the Uniform Boundedness

More information

Hilbert Spaces. Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space.

Hilbert Spaces. Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space. Hilbert Spaces Hilbert space is a vector space with some extra structure. We start with formal (axiomatic) definition of a vector space. Vector Space. Vector space, ν, over the field of complex numbers,

More information

MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY

MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY 0.1. Vector Bundles and Connection 1-forms. Let E X be a complex vector bundle of rank r over a smooth manifold. Recall the following abstract

More information

Eigenvalues and Eigenfunctions of the Laplacian

Eigenvalues and Eigenfunctions of the Laplacian The Waterloo Mathematics Review 23 Eigenvalues and Eigenfunctions of the Laplacian Mihai Nica University of Waterloo mcnica@uwaterloo.ca Abstract: The problem of determining the eigenvalues and eigenvectors

More information

Topological vectorspaces

Topological vectorspaces (July 25, 2011) Topological vectorspaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ Natural non-fréchet spaces Topological vector spaces Quotients and linear maps More topological

More information

2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due 9/5). Prove that every countable set A is measurable and µ(a) = 0. 2 (Bonus). Let A consist of points (x, y) such that either x or y is

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

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

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable

More information

Some SDEs with distributional drift Part I : General calculus. Flandoli, Franco; Russo, Francesco; Wolf, Jochen

Some SDEs with distributional drift Part I : General calculus. Flandoli, Franco; Russo, Francesco; Wolf, Jochen Title Author(s) Some SDEs with distributional drift Part I : General calculus Flandoli, Franco; Russo, Francesco; Wolf, Jochen Citation Osaka Journal of Mathematics. 4() P.493-P.54 Issue Date 3-6 Text

More information

Metric Spaces Lecture 17

Metric Spaces Lecture 17 Metric Spaces Lecture 17 Homeomorphisms At the end of last lecture an example was given of a bijective continuous function f such that f 1 is not continuous. For another example, consider the sets T =

More information

Course 212: Academic Year Section 1: Metric Spaces

Course 212: Academic Year Section 1: Metric Spaces Course 212: Academic Year 1991-2 Section 1: Metric Spaces D. R. Wilkins Contents 1 Metric Spaces 3 1.1 Distance Functions and Metric Spaces............. 3 1.2 Convergence and Continuity in Metric Spaces.........

More information

PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS

PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 28, 2003, 207 222 PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Fumi-Yuki Maeda and Takayori Ono Hiroshima Institute of Technology, Miyake,

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

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

On the distributional divergence of vector fields vanishing at infinity

On the distributional divergence of vector fields vanishing at infinity Proceedings of the Royal Society of Edinburgh, 141A, 65 76, 2011 On the distributional divergence of vector fields vanishing at infinity Thierry De Pauw Institut de Recherches en Mathématiques et Physique,

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

Theorem 2. Let n 0 3 be a given integer. is rigid in the sense of Guillemin, so are all the spaces ḠR n,n, with n n 0.

Theorem 2. Let n 0 3 be a given integer. is rigid in the sense of Guillemin, so are all the spaces ḠR n,n, with n n 0. This monograph is motivated by a fundamental rigidity problem in Riemannian geometry: determine whether the metric of a given Riemannian symmetric space of compact type can be characterized by means of

More information

4 Hilbert spaces. The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan

4 Hilbert spaces. The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan Wir müssen wissen, wir werden wissen. David Hilbert We now continue to study a special class of Banach spaces,

More information

Statistics 612: L p spaces, metrics on spaces of probabilites, and connections to estimation

Statistics 612: L p spaces, metrics on spaces of probabilites, and connections to estimation Statistics 62: L p spaces, metrics on spaces of probabilites, and connections to estimation Moulinath Banerjee December 6, 2006 L p spaces and Hilbert spaces We first formally define L p spaces. Consider

More information

Commutative Banach algebras 79

Commutative Banach algebras 79 8. Commutative Banach algebras In this chapter, we analyze commutative Banach algebras in greater detail. So we always assume that xy = yx for all x, y A here. Definition 8.1. Let A be a (commutative)

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

David Hilbert was old and partly deaf in the nineteen thirties. Yet being a diligent

David Hilbert was old and partly deaf in the nineteen thirties. Yet being a diligent Chapter 5 ddddd dddddd dddddddd ddddddd dddddddd ddddddd Hilbert Space The Euclidean norm is special among all norms defined in R n for being induced by the Euclidean inner product (the dot product). A

More information

UNBOUNDED OPERATORS ON HILBERT SPACES. Let X and Y be normed linear spaces, and suppose A : X Y is a linear map.

UNBOUNDED OPERATORS ON HILBERT SPACES. Let X and Y be normed linear spaces, and suppose A : X Y is a linear map. UNBOUNDED OPERATORS ON HILBERT SPACES EFTON PARK Let X and Y be normed linear spaces, and suppose A : X Y is a linear map. Define { } Ax A op = sup x : x 0 = { Ax : x 1} = { Ax : x = 1} If A

More information

Topological properties of Z p and Q p and Euclidean models

Topological properties of Z p and Q p and Euclidean models Topological properties of Z p and Q p and Euclidean models Samuel Trautwein, Esther Röder, Giorgio Barozzi November 3, 20 Topology of Q p vs Topology of R Both R and Q p are normed fields and complete

More information

Math Tune-Up Louisiana State University August, Lectures on Partial Differential Equations and Hilbert Space

Math Tune-Up Louisiana State University August, Lectures on Partial Differential Equations and Hilbert Space Math Tune-Up Louisiana State University August, 2008 Lectures on Partial Differential Equations and Hilbert Space 1. A linear partial differential equation of physics We begin by considering the simplest

More information

Banach Spaces II: Elementary Banach Space Theory

Banach Spaces II: Elementary Banach Space Theory BS II c Gabriel Nagy Banach Spaces II: Elementary Banach Space Theory Notes from the Functional Analysis Course (Fall 07 - Spring 08) In this section we introduce Banach spaces and examine some of their

More information

MATHS 730 FC Lecture Notes March 5, Introduction

MATHS 730 FC Lecture Notes March 5, Introduction 1 INTRODUCTION MATHS 730 FC Lecture Notes March 5, 2014 1 Introduction Definition. If A, B are sets and there exists a bijection A B, they have the same cardinality, which we write as A, #A. If there exists

More information

The L p -dissipativity of first order partial differential operators

The L p -dissipativity of first order partial differential operators The L p -dissipativity of first order partial differential operators A. Cialdea V. Maz ya n Memory of Vladimir. Smirnov Abstract. We find necessary and sufficient conditions for the L p -dissipativity

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 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

Topological properties

Topological properties CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological

More information

FINITE ENERGY SOLUTIONS OF MIXED 3D DIV-CURL SYSTEMS

FINITE ENERGY SOLUTIONS OF MIXED 3D DIV-CURL SYSTEMS FINITE ENERGY SOLUTIONS OF MIXED 3D DIV-CURL SYSTEMS GILES AUCHMUTY AND JAMES C. ALEXANDER Abstract. This paper describes the existence and representation of certain finite energy (L 2 -) solutions of

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

Lecture 5: Hodge theorem

Lecture 5: Hodge theorem Lecture 5: Hodge theorem Jonathan Evans 4th October 2010 Jonathan Evans () Lecture 5: Hodge theorem 4th October 2010 1 / 15 Jonathan Evans () Lecture 5: Hodge theorem 4th October 2010 2 / 15 The aim of

More information

Integration on Measure Spaces

Integration on Measure Spaces Chapter 3 Integration on Measure Spaces In this chapter we introduce the general notion of a measure on a space X, define the class of measurable functions, and define the integral, first on a class of

More information

The Dirichlet-to-Neumann operator

The Dirichlet-to-Neumann operator Lecture 8 The Dirichlet-to-Neumann operator The Dirichlet-to-Neumann operator plays an important role in the theory of inverse problems. In fact, from measurements of electrical currents at the surface

More information

Combinatorics in Banach space theory Lecture 12

Combinatorics in Banach space theory Lecture 12 Combinatorics in Banach space theory Lecture The next lemma considerably strengthens the assertion of Lemma.6(b). Lemma.9. For every Banach space X and any n N, either all the numbers n b n (X), c n (X)

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

An introduction to Mathematical Theory of Control

An introduction to Mathematical Theory of Control An introduction to Mathematical Theory of Control Vasile Staicu University of Aveiro UNICA, May 2018 Vasile Staicu (University of Aveiro) An introduction to Mathematical Theory of Control UNICA, May 2018

More information

Exercises to Applied Functional Analysis

Exercises to Applied Functional Analysis Exercises to Applied Functional Analysis Exercises to Lecture 1 Here are some exercises about metric spaces. Some of the solutions can be found in my own additional lecture notes on Blackboard, as the

More information

Lectures on. Sobolev Spaces. S. Kesavan The Institute of Mathematical Sciences, Chennai.

Lectures on. Sobolev Spaces. S. Kesavan The Institute of Mathematical Sciences, Chennai. Lectures on Sobolev Spaces S. Kesavan The Institute of Mathematical Sciences, Chennai. e-mail: kesh@imsc.res.in 2 1 Distributions In this section we will, very briefly, recall concepts from the theory

More information

Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University

Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University February 7, 2007 2 Contents 1 Metric Spaces 1 1.1 Basic definitions...........................

More information

Discreteness of Transmission Eigenvalues via Upper Triangular Compact Operators

Discreteness of Transmission Eigenvalues via Upper Triangular Compact Operators Discreteness of Transmission Eigenvalues via Upper Triangular Compact Operators John Sylvester Department of Mathematics University of Washington Seattle, Washington 98195 U.S.A. June 3, 2011 This research

More information