Function Spaces, Time Derivatives and Compactness for Evolving Families of Banach Spaces with Applications to Pdes
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Sobolev Spaces, Theory and Applications
Sobolev spaces, theory and applications Piotr Haj lasz1 Introduction These are the notes that I prepared for the participants of the Summer School in Mathematics in Jyv¨askyl¨a,August, 1998. I thank Pekka Koskela for his kind invitation. This is the second summer course that I delivere in Finland. Last August I delivered a similar course entitled Sobolev spaces and calculus of variations in Helsinki. The subject was similar, so it was not posible to avoid overlapping. However, the overlapping is little. I estimate it as 25%. While preparing the notes I used partially the notes that I prepared for the previous course. Moreover Lectures 9 and 10 are based on the text of my joint work with Pekka Koskela [33]. The notes probably will not cover all the material presented during the course and at the some time not all the material written here will be presented during the School. This is however, not so bad: if some of the results presented on lectures will go beyond the notes, then there will be some reasons to listen the course and at the same time if some of the results will be explained in more details in notes, then it might be worth to look at them. The notes were prepared in hurry and so there are many bugs and they are not complete. Some of the sections and theorems are unfinished. At the end of the notes I enclosed some references together with comments. This section was also prepared in hurry and so probably many of the authors who contributed to the subject were not mentioned. -
Quantitative Hahn-Banach Theorems and Isometric Extensions for Wavelet and Other Banach Spaces
Axioms 2013, 2, 224-270; doi:10.3390/axioms2020224 OPEN ACCESS axioms ISSN 2075-1680 www.mdpi.com/journal/axioms Article Quantitative Hahn-Banach Theorems and Isometric Extensions for Wavelet and Other Banach Spaces Sergey Ajiev School of Mathematical Sciences, Faculty of Science, University of Technology-Sydney, P.O. Box 123, Broadway, NSW 2007, Australia; E-Mail: [email protected] Received: 4 March 2013; in revised form: 12 May 2013 / Accepted: 14 May 2013 / Published: 23 May 2013 Abstract: We introduce and study Clarkson, Dol’nikov-Pichugov, Jacobi and mutual diameter constants reflecting the geometry of a Banach space and Clarkson, Jacobi and Pichugov classes of Banach spaces and their relations with James, self-Jung, Kottman and Schaffer¨ constants in order to establish quantitative versions of Hahn-Banach separability theorem and to characterise the isometric extendability of Holder-Lipschitz¨ mappings. Abstract results are further applied to the spaces and pairs from the wide classes IG and IG+ and non-commutative Lp-spaces. The intimate relation between the subspaces and quotients of the IG-spaces on one side and various types of anisotropic Besov, Lizorkin-Triebel and Sobolev spaces of functions on open subsets of an Euclidean space defined in terms of differences, local polynomial approximations, wavelet decompositions and other means (as well as the duals and the lp-sums of all these spaces) on the other side, allows us to present the algorithm of extending the main results of the article to the latter spaces and pairs. Special attention is paid to the matter of sharpness. Our approach is quasi-Euclidean in its nature because it relies on the extrapolation of properties of Hilbert spaces and the study of 1-complemented subspaces of the spaces under consideration. -
Notes on Partial Differential Equations John K. Hunter
Notes on Partial Differential Equations John K. Hunter Department of Mathematics, University of California at Davis Contents Chapter 1. Preliminaries 1 1.1. Euclidean space 1 1.2. Spaces of continuous functions 1 1.3. H¨olderspaces 2 1.4. Lp spaces 3 1.5. Compactness 6 1.6. Averages 7 1.7. Convolutions 7 1.8. Derivatives and multi-index notation 8 1.9. Mollifiers 10 1.10. Boundaries of open sets 12 1.11. Change of variables 16 1.12. Divergence theorem 16 Chapter 2. Laplace's equation 19 2.1. Mean value theorem 20 2.2. Derivative estimates and analyticity 23 2.3. Maximum principle 26 2.4. Harnack's inequality 31 2.5. Green's identities 32 2.6. Fundamental solution 33 2.7. The Newtonian potential 34 2.8. Singular integral operators 43 Chapter 3. Sobolev spaces 47 3.1. Weak derivatives 47 3.2. Examples 47 3.3. Distributions 50 3.4. Properties of weak derivatives 53 3.5. Sobolev spaces 56 3.6. Approximation of Sobolev functions 57 3.7. Sobolev embedding: p < n 57 3.8. Sobolev embedding: p > n 66 3.9. Boundary values of Sobolev functions 69 3.10. Compactness results 71 3.11. Sobolev functions on Ω ⊂ Rn 73 3.A. Lipschitz functions 75 3.B. Absolutely continuous functions 76 3.C. Functions of bounded variation 78 3.D. Borel measures on R 80 v vi CONTENTS 3.E. Radon measures on R 82 3.F. Lebesgue-Stieltjes measures 83 3.G. Integration 84 3.H. Summary 86 Chapter 4. -
Lecture Notes for MATH 592A
Lecture Notes for MATH 592A Vladislav Panferov February 25, 2008 1. Introduction As a motivation for developing the theory let’s consider the following boundary-value problem, u′′ + u = f(x) x Ω=(0, 1) − ∈ u(0) = 0, u(1) = 0, where f is a given (smooth) function. We know that the solution is unique, sat- isfies the stability estimate following from the maximum principle, and it can be expressed explicitly through Green’s function. However, there is another way “to say something about the solution”, quite independent of what we’ve done before. Let’s multuply the differential equation by u and integrate by parts. We get x=1 1 1 u′ u + (u′ 2 + u2) dx = f u dx. − x=0 0 0 h i Z Z The boundary terms vanish because of the boundary conditions. We introduce the following notations 1 1 u 2 = u2 dx (thenorm), and (f,u)= f udx (the inner product). k k Z0 Z0 Then the integral identity above can be written in the short form as u′ 2 + u 2 =(f,u). k k k k Now we notice the following inequality (f,u) 6 f u . (Cauchy-Schwarz) | | k kk k This may be familiar from linear algebra. For a quick proof notice that f + λu 2 = f 2 +2λ(f,u)+ λ2 u 2 0 k k k k k k ≥ 1 for any λ. This expression is a quadratic function in λ which has a minimum for λ = (f,u)/ u 2. Using this value of λ and rearranging the terms we get − k k (f,u)2 6 f 2 u 2. -
Introduction to Sobolev Spaces
Introduction to Sobolev Spaces Lecture Notes MM692 2018-2 Joa Weber UNICAMP December 23, 2018 Contents 1 Introduction1 1.1 Notation and conventions......................2 2 Lp-spaces5 2.1 Borel and Lebesgue measure space on Rn .............5 2.2 Definition...............................8 2.3 Basic properties............................ 11 3 Convolution 13 3.1 Convolution of functions....................... 13 3.2 Convolution of equivalence classes................. 15 3.3 Local Mollification.......................... 16 3.3.1 Locally integrable functions................. 16 3.3.2 Continuous functions..................... 17 3.4 Applications.............................. 18 4 Sobolev spaces 19 4.1 Weak derivatives of locally integrable functions.......... 19 1 4.1.1 The mother of all Sobolev spaces Lloc ........... 19 4.1.2 Examples........................... 20 4.1.3 ACL characterization.................... 21 4.1.4 Weak and partial derivatives................ 22 4.1.5 Approximation characterization............... 23 4.1.6 Bounded weakly differentiable means Lipschitz...... 24 4.1.7 Leibniz or product rule................... 24 4.1.8 Chain rule and change of coordinates............ 25 4.1.9 Equivalence classes of locally integrable functions..... 27 4.2 Definition and basic properties................... 27 4.2.1 The Sobolev spaces W k;p .................. 27 4.2.2 Difference quotient characterization of W 1;p ........ 29 k;p 4.2.3 The compact support Sobolev spaces W0 ........ 30 k;p 4.2.4 The local Sobolev spaces Wloc ............... 30 4.2.5 How the spaces relate.................... 31 4.2.6 Basic properties { products and coordinate change.... 31 i ii CONTENTS 5 Approximation and extension 33 5.1 Approximation............................ 33 5.1.1 Local approximation { any domain............. 33 5.1.2 Global approximation on bounded domains....... -
Advanced Partial Differential Equations Prof. Dr. Thomas
Advanced Partial Differential Equations Prof. Dr. Thomas Sørensen summer term 2015 Marcel Schaub July 2, 2015 1 Contents 0 Recall PDE 1 & Motivation 3 0.1 Recall PDE 1 . .3 1 Weak derivatives and Sobolev spaces 7 1.1 Sobolev spaces . .8 1.2 Approximation by smooth functions . 11 1.3 Extension of Sobolev functions . 13 1.4 Traces . 15 1.5 Sobolev inequalities . 17 2 Linear 2nd order elliptic PDE 25 2.1 Linear 2nd order elliptic partial differential operators . 25 2.2 Weak solutions . 26 2.3 Existence via Lax-Milgram . 28 2.4 Inhomogeneous bounday value problems . 35 2.5 The space H−1(U) ................................ 36 2.6 Regularity of weak solutions . 39 A Tutorials 58 A.1 Tutorial 1: Review of Integration . 58 A.2 Tutorial 2 . 59 A.3 Tutorial 3: Norms . 61 A.4 Tutorial 4 . 62 A.5 Tutorial 6 (Sheet 7) . 65 A.6 Tutorial 7 . 65 A.7 Tutorial 9 . 67 A.8 Tutorium 11 . 67 B Solutions of the problem sheets 70 B.1 Solution to Sheet 1 . 70 B.2 Solution to Sheet 2 . 71 B.3 Solution to Problem Sheet 3 . 73 B.4 Solution to Problem Sheet 4 . 76 B.5 Solution to Exercise Sheet 5 . 77 B.6 Solution to Exercise Sheet 7 . 81 B.7 Solution to problem sheet 8 . 84 B.8 Solution to Exercise Sheet 9 . 87 2 0 Recall PDE 1 & Motivation 0.1 Recall PDE 1 We mainly studied linear 2nd order equations – specifically, elliptic, parabolic and hyper- bolic equations. Concretely: • The Laplace equation ∆u = 0 (elliptic) • The Poisson equation −∆u = f (elliptic) • The Heat equation ut − ∆u = 0, ut − ∆u = f (parabolic) • The Wave equation utt − ∆u = 0, utt − ∆u = f (hyperbolic) We studied (“main motivation; goal”) well-posedness (à la Hadamard) 1. -
Delta Functions and Distributions
When functions have no value(s): Delta functions and distributions Steven G. Johnson, MIT course 18.303 notes Created October 2010, updated March 8, 2017. Abstract x = 0. That is, one would like the function δ(x) = 0 for all x 6= 0, but with R δ(x)dx = 1 for any in- These notes give a brief introduction to the mo- tegration region that includes x = 0; this concept tivations, concepts, and properties of distributions, is called a “Dirac delta function” or simply a “delta which generalize the notion of functions f(x) to al- function.” δ(x) is usually the simplest right-hand- low derivatives of discontinuities, “delta” functions, side for which to solve differential equations, yielding and other nice things. This generalization is in- a Green’s function. It is also the simplest way to creasingly important the more you work with linear consider physical effects that are concentrated within PDEs, as we do in 18.303. For example, Green’s func- very small volumes or times, for which you don’t ac- tions are extremely cumbersome if one does not al- tually want to worry about the microscopic details low delta functions. Moreover, solving PDEs with in this volume—for example, think of the concepts of functions that are not classically differentiable is of a “point charge,” a “point mass,” a force plucking a great practical importance (e.g. a plucked string with string at “one point,” a “kick” that “suddenly” imparts a triangle shape is not twice differentiable, making some momentum to an object, and so on. -
HEAT FLOW and QUANTITATIVE DIFFERENTIATION Contents 1
HEAT FLOW AND QUANTITATIVE DIFFERENTIATION TUOMAS HYTONEN¨ AND ASSAF NAOR Abstract. For every Banach space (Y; k · kY ) that admits an equivalent uniformly convex norm we prove that there exists c = c(Y ) 2 (0; 1) with the following property. Suppose that n 2 N and that X is an n-dimensional normed space with unit ball BX . Then for every 1-Lipschitz function cn f : BX ! Y and for every " 2 (0; 1=2] there exists a radius r > exp(−1=" ), a point x 2 BX with x + rBX ⊆ BX , and an affine mapping Λ : X ! Y such that kf(y) − Λ(y)kY 6 "r for every y 2 x+rBX . This is an improved bound for a fundamental quantitative differentiation problem that was formulated by Bates, Johnson, Lindenstrauss, Preiss and Schechtman (1999), and consequently it yields a new proof of Bourgain's discretization theorem (1987) for uniformly convex targets. The strategy of our proof is inspired by Bourgain's original approach to the discretization problem, which takes the affine mapping Λ to be the first order Taylor polynomial of a time-t Poisson evolute of an extension of f to all of X and argues that, under appropriate assumptions on f, there must exist a time t 2 (0; 1) at which Λ is (quantitatively) invertible. However, in the present context we desire a more stringent conclusion, namely that Λ well-approximates f on a macroscopically large ball, in which case we show that for our argument to work one cannot use the Poisson semigroup. Nevertheless, our strategy does succeed with the Poisson semigroup replaced by the heat semigroup. -
Regularization and Simulation of Constrained Partial Differential
Regularization and Simulation of Constrained Partial Differential Equations vorgelegt von Diplom-Mathematiker Robert Altmann aus Berlin Von der Fakult¨atII - Mathematik und Naturwissenschaften der Technischen Universit¨atBerlin zur Erlangung des akademischen Grades Doktor der Naturwissenschaften Dr. rer. nat genehmigte Dissertation Promotionsausschuss: Vorsitzende: Prof. Dr. Noemi Kurt Berichter: Prof. Dr. Volker Mehrmann Berichterin: Prof. Dr. Caren Tischendorf Berichter: Prof. Dr. Alexander Ostermann Tag der wissenschaftlichen Aussprache: 29. 05. 2015 Berlin 2015 Contents Zusammenfassung . v Abstract . vii Published Papers. ix 1. Introduction . 1 Part A Preliminaries 5 2. Differential-algebraic Equations (DAEs) . 6 2.1. Index Concepts . 6 2.1.1. Differentiation Index. 7 2.1.2. Further Index Concepts. 8 2.2. High-index DAEs . 8 2.3. Index Reduction Techniques. 9 2.3.1. Index Reduction by Differentiation . 9 2.3.2. Minimal Extension . 9 3. Functional Analytic Tools . 11 3.1. Fundamentals . 11 3.1.1. Dual Operators and Riesz Representation Theorem . 11 3.1.2. Test Functions and Distributions . 12 3.1.3. Sobolev Spaces . 13 3.1.4. Traces . 14 3.1.5. Poincar´eInequality and Negative Norms . 15 3.1.6. Weak Convergence and Compactness . 17 3.2. Bochner Spaces . 17 3.3. Sobolev-Bochner Spaces . 20 3.3.1. Gelfand Triples . 20 3.3.2. Definition and Embeddings . 21 4. Abstract Differential Equations . 23 4.1. Nemytskii Mapping . 23 4.2. Operator ODEs . 24 4.2.1. First-order Equations . 25 4.2.2. Second-order Equations. 26 4.3. Operator DAEs . 27 i 5. Discretization Schemes . 29 5.1. Spatial Discretization . 29 5.1.1. -
Part I, Chapter 2 Weak Derivatives and Sobolev Spaces 2.1 Differentiation
Part I, Chapter 2 Weak derivatives and Sobolev spaces We investigate in this chapter the notion of differentiation for Lebesgue inte- grable functions. We introduce an extension of the classical concept of deriva- tive and partial derivative which is called weak derivative. This notion will be used throughout the book. It is particularly useful when one tries to differen- tiate finite element functions that are continuous and piecewise polynomial. In that case one does not need to bother about the points where the classical derivative is multivalued to define the weak derivative. We also introduce the concept of Sobolev spaces. These spaces are useful to study the well-posedness of partial differential equations and their approximation using finite elements. 2.1 Differentiation We study here the concept of differentiation for Lebesgue integrable functions. 2.1.1 Lebesgue Points Theorem 2.1 (Lebesgue points). Let f L1(D). Let B(x,h) be the ball of radius h> 0 centered at x D. The following∈ holds true for a.e. x D: ∈ ∈ 1 lim f(y) f(x) dy =0. (2.1) h 0 B(x,h) | − | ↓ | | ZB(x,h) Points x D where (2.1) holds true are called Lebesgue points of f. ∈ Proof. See, e.g., Rudin [162, Thm. 7.6]. This result says that for a.e. x D, the averages of f( ) f(x) are small over small balls centered at x∈, i.e., f does not oscillate| · too− much| in the neighborhood of x. Notice that if the function f is continuous at x, then x is a Lebesgue point of f (recall that a continuous function is uniformly continuous over compact sets). -
Lebegue-Bochner Spaces and Evolution Triples
of Math al em rn a u ti o c J s l A a Int. J. Math. And Appl., 7(1)(2019), 41{52 n n d o i i t t a s n A ISSN: 2347-1557 r e p t p n l I i c • Available Online: http://ijmaa.in/ a t 7 i o 5 n 5 • s 1 - 7 4 I 3 S 2 S : N International Journal of Mathematics And its Applications Lebegue-Bochner Spaces and Evolution Triples Jula Kabeto Bunkure1,∗ 1 Department Mathematics, Ethiopian institute of Textile and Fashion Technology(EiEX), Bahir Dar University, Ethiopia. Abstract: The functional-analytic approach to the solution of partial differential equations requires knowledge of the properties of spaces of functions of one or several real variables. A large class of infinite dimensional dynamical systems (evolution systems) can be modeled as an abstract differential equation defined on a suitable Banach space or on a suitable manifold therein. The advantage of such an abstract formulation lies not only on its generality but also in the insight that can be gained about the many common unifying properties that tie together apparently diverse problems. It is clear that such a study relies on the knowledge of various spaces of vector valued functions (i.e., of Banach space valued functions). For this reason some facts about vector valued functions is introduced. We introduce the various notions of measurability for such functions and then based on them we define the different integrals corresponding to them. A function f :Ω ! X is strongly measurable if and only if it is the uniform limit almost everywhere of a sequence of countable-valued, Σ-measurable functions. -
Sobolev-Type Inequalities on Riemannian Manifolds with Applications
Sobolev-type inequalities on Riemannian manifolds with applications Thesis for the Degree of Doctor of Philosophy Csaba Farkas The Doctoral School of Applied Informatics and Applied Mathematics Academic advisor: prof. dr. Alexandru Kristály Institute of Applied Mathematics John von Neumann Faculty of Informatics Óbuda University Budapest, Hungary 2018 Contents Preface iv Acknowledgements vi 1. Preliminaries 1 1.1. Sobolev Spaces: Introduction.............................1 1.1.1. Weak derivatives and Sobolev spaces.....................1 1.2. Elements from the theory of calculus of variations..................3 1.2.1. Dirichlet principle: Introduction.......................3 1.2.2. Direct methods in calculus of variations...................4 1.2.3. Palais-Smale condition and the Mountain Pass theorem..........5 1.3. Elements from Riemannian geometry.........................6 I. Sobolev-type inequalities 10 2. Sobolev-type inequalities 11 2.1. Euclidean case..................................... 11 2.2. Riemannian case.................................... 13 3. Sobolev interpolation inequalities on Cartan-Hadamard manifolds 16 3.1. Statement of main results............................... 16 3.2. Proof of main results.................................. 18 4. Multipolar Hardy inequalities on Riemannian manifolds 24 4.1. Introduction and statement of main results..................... 24 4.2. Proof of Theorems 4.1.1 and 4.1.2........................... 27 4.2.1. Multipolar Hardy inequality: influence of curvature............. 27 4.2.2. Multipolar Hardy inequality with Topogonov-type comparision...... 31 4.3. A bipolar Schrödinger-type equation on Cartan-Hadamard manifolds....... 32 II. Applications 34 5. Schrödinger-Maxwell systems: the compact case 35 5.1. Introduction and motivation.............................. 35 5.2. Statement of main results............................... 36 5.3. Proof of the main results................................ 38 5.3.1. Schrödinger-Maxwell systems involving sublinear nonlinearity......