Duality Properties of Metric Sobolev Spaces and Capacity†
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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. -
Theory of Capacities Annales De L’Institut Fourier, Tome 5 (1954), P
ANNALES DE L’INSTITUT FOURIER GUSTAVE CHOQUET Theory of capacities Annales de l’institut Fourier, tome 5 (1954), p. 131-295 <http://www.numdam.org/item?id=AIF_1954__5__131_0> © Annales de l’institut Fourier, 1954, tous droits réservés. L’accès aux archives de la revue « Annales de l’institut Fourier » (http://annalif.ujf-grenoble.fr/) implique l’accord avec les conditions gé- nérales d’utilisation (http://www.numdam.org/conditions). Toute utilisa- tion commerciale ou impression systématique est constitutive d’une in- fraction pénale. Toute copie ou impression de ce fichier doit conte- nir la présente mention de copyright. Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques http://www.numdam.org/ THEORY OF CAPACITIES (l) by Gustave CHOQUETOQ. INTRODUCTION This work originated from the following problem, whose significance had been emphasized by M. Brelot and H. Cartan : Is the interior Newtonian capacity of an arbitrary borelian subset X of the space R3 equal to the exterior Newtonian capacity of X ? For the solution of this problem, I first systematically studied the non-additive set-functions, and tried to extract from their totality certain particularly interesting classes, with a view to establishing for these a theory analogous to the classical theory of measurability. I succeeded later in showing that the classical Newtonian capacity f belongs to one of these classes, more precisely: if A and B are arbitrary compact subsets of R3, then AAU^+AAflB^/^+AB). It followed from this that every borelian, a^rid even every analytic set is capacitable with respect to the Newtonian capa- city, a result which can, moreover, be extended to the capa- (') This research was supported by the United States Air Force, throught the Office of Scientific Research of the Air Research and Development Command. -
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....... -
The Dimension of Chaotic Attractors
Physica 7D (1983) 153-180 North-Holland Publishing Company THE DIMENSION OF CHAOTIC ATTRACTORS J. Doyne FARMER Center for Nonlinear Studies and Theoretical Division, MS B258, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA Edward OTT Laboratory of Plasma and Fusion Energy Studies, University of Maryland, College Park, Maryland, USA and James A. YORKE Institute for Physical Science and Technology and Department of Mathematics, University of Maryland, College Park, Maryland, USA Dimension is perhaps the most basic property of an attractor. In this paper we discuss a variety of different definitions of dimension, compute their values for a typical example, and review previous work on the dimension of chaotic attractors. The relevant definitions of dimension are of two general types, those that depend only on metric properties, and those that depend on the frequency with which a typical trajectory visits different regions of the attractor. Both our example and the previous work that we review support the conclusion that all of the frequency dependent dimensions take on the same value, which we call the "dimension of the natural measure", and all of the metric dimensions take on a common value, which we call the "fractal dimension". Furthermore, the dimension of the natural measure is typically equal to the Lyapunov dimension, which is defined in terms of Lyapunov numbers, and thus is usually far easier to calculate than any other definition. Because it is computable and more physically relevant, we feel that the dimension of the natural measure is more important than the fractal dimension. Table of contents 1. -
Using Functional Analysis and Sobolev Spaces to Solve Poisson’S Equation
USING FUNCTIONAL ANALYSIS AND SOBOLEV SPACES TO SOLVE POISSON'S EQUATION YI WANG Abstract. We study Banach and Hilbert spaces with an eye to- wards defining weak solutions to elliptic PDE. Using Lax-Milgram we prove that weak solutions to Poisson's equation exist under certain conditions. Contents 1. Introduction 1 2. Banach spaces 2 3. Weak topology, weak star topology and reflexivity 6 4. Lower semicontinuity 11 5. Hilbert spaces 13 6. Sobolev spaces 19 References 21 1. Introduction We will discuss the following problem in this paper: let Ω be an open and connected subset in R and f be an L2 function on Ω, is there a solution to Poisson's equation (1) −∆u = f? From elementary partial differential equations class, we know if Ω = R, we can solve Poisson's equation using the fundamental solution to Laplace's equation. However, if we just take Ω to be an open and connected set, the above method is no longer useful. In addition, for arbitrary Ω and f, a C2 solution does not always exist. Therefore, instead of finding a strong solution, i.e., a C2 function which satisfies (1), we integrate (1) against a test function φ (a test function is a Date: September 28, 2016. 1 2 YI WANG smooth function compactly supported in Ω), integrate by parts, and arrive at the equation Z Z 1 (2) rurφ = fφ, 8φ 2 Cc (Ω): Ω Ω So intuitively we want to find a function which satisfies (2) for all test functions and this is the place where Hilbert spaces come into play. -
Function Spaces Mikko Salo
Function spaces Lecture notes, Fall 2008 Mikko Salo Department of Mathematics and Statistics University of Helsinki Contents Chapter 1. Introduction 1 Chapter 2. Interpolation theory 5 2.1. Classical results 5 2.2. Abstract interpolation 13 2.3. Real interpolation 16 2.4. Interpolation of Lp spaces 20 Chapter 3. Fractional Sobolev spaces, Besov and Triebel spaces 27 3.1. Fourier analysis 28 3.2. Fractional Sobolev spaces 33 3.3. Littlewood-Paley theory 39 3.4. Besov and Triebel spaces 44 3.5. H¨olderand Zygmund spaces 54 3.6. Embedding theorems 60 Bibliography 63 v CHAPTER 1 Introduction In mathematical analysis one deals with functions which are dif- ferentiable (such as continuously differentiable) or integrable (such as square integrable or Lp). It is often natural to combine the smoothness and integrability requirements, which leads one to introduce various spaces of functions. This course will give a brief introduction to certain function spaces which are commonly encountered in analysis. This will include H¨older, Lipschitz, Zygmund, Sobolev, Besov, and Triebel-Lizorkin type spaces. We will try to highlight typical uses of these spaces, and will also give an account of interpolation theory which is an important tool in their study. The first part of the course covered integer order Sobolev spaces in domains in Rn, following Evans [4, Chapter 5]. These lecture notes contain the second part of the course. Here the emphasis is on Sobolev type spaces where the smoothness index may be any real number. This second part of the course is more or less self-contained, in that we will use the first part mainly as motivation. -
Ends, Fundamental Tones, and Capacities of Minimal Submanifolds Via Extrinsic Comparison Theory
ENDS, FUNDAMENTAL TONES, AND CAPACITIES OF MINIMAL SUBMANIFOLDS VIA EXTRINSIC COMPARISON THEORY VICENT GIMENO AND S. MARKVORSEN ABSTRACT. We study the volume of extrinsic balls and the capacity of extrinsic annuli in minimal submanifolds which are properly immersed with controlled radial sectional curvatures into an ambient manifold with a pole. The key results are concerned with the comparison of those volumes and capacities with the corresponding entities in a rotation- ally symmetric model manifold. Using the asymptotic behavior of the volumes and ca- pacities we then obtain upper bounds for the number of ends as well as estimates for the fundamental tone of the submanifolds in question. 1. INTRODUCTION Let M be a complete non-compact Riemannian manifold. Let K ⊂ M be a compact set with non-empty interior and smooth boundary. We denote by EK (M) the number of connected components E1; ··· ;EEK (M) of M n K with non-compact closure. Then M EK (M) has EK (M) ends fEigi=1 with respect to K (see e.g. [GSC09]), and the global number of ends E(M) is given by (1.1) E(M) = sup EK (M) ; K⊂M where K ranges on the compact sets of M with non-empty interior and smooth boundary. The number of ends of a manifold can be bounded by geometric restrictions. For ex- ample, in the particular setting of an m−dimensional minimal submanifold P which is properly immersed into Euclidean space Rn, the number of ends E(P ) is known to be re- lated to the extrinsic properties of the immersion. -
Fact Sheet Functional Analysis
Fact Sheet Functional Analysis Literature: Hackbusch, W.: Theorie und Numerik elliptischer Differentialgleichungen. Teubner, 1986. Knabner, P., Angermann, L.: Numerik partieller Differentialgleichungen. Springer, 2000. Triebel, H.: H¨ohere Analysis. Harri Deutsch, 1980. Dobrowolski, M.: Angewandte Funktionalanalysis, Springer, 2010. 1. Banach- and Hilbert spaces Let V be a real vector space. Normed space: A norm is a mapping k · k : V ! [0; 1), such that: kuk = 0 , u = 0; (definiteness) kαuk = jαj · kuk; α 2 R; u 2 V; (positive scalability) ku + vk ≤ kuk + kvk; u; v 2 V: (triangle inequality) The pairing (V; k · k) is called a normed space. Seminorm: In contrast to a norm there may be elements u 6= 0 such that kuk = 0. It still holds kuk = 0 if u = 0. Comparison of two norms: Two norms k · k1, k · k2 are called equivalent if there is a constant C such that: −1 C kuk1 ≤ kuk2 ≤ Ckuk1; u 2 V: If only one of these inequalities can be fulfilled, e.g. kuk2 ≤ Ckuk1; u 2 V; the norm k · k1 is called stronger than the norm k · k2. k · k2 is called weaker than k · k1. Topology: In every normed space a canonical topology can be defined. A subset U ⊂ V is called open if for every u 2 U there exists a " > 0 such that B"(u) = fv 2 V : ku − vk < "g ⊂ U: Convergence: A sequence vn converges to v w.r.t. the norm k · k if lim kvn − vk = 0: n!1 1 A sequence vn ⊂ V is called Cauchy sequence, if supfkvn − vmk : n; m ≥ kg ! 0 for k ! 1. -
Introduction to Heat Potential Theory
Mathematical Surveys and Monographs Volume 182 Introduction to Heat Potential Theory Neil A. Watson American Mathematical Society http://dx.doi.org/10.1090/surv/182 Mathematical Surveys and Monographs Volume 182 Introduction to Heat Potential Theory Neil A. Watson American Mathematical Society Providence, Rhode Island EDITORIAL COMMITTEE Ralph L. Cohen, Chair Benjamin Sudakov MichaelA.Singer MichaelI.Weinstein 2010 Mathematics Subject Classification. Primary 31-02, 31B05, 31B20, 31B25, 31C05, 31C15, 35-02, 35K05, 31B15. For additional information and updates on this book, visit www.ams.org/bookpages/surv-182 Library of Congress Cataloging-in-Publication Data Watson, N. A., 1948– Introduction to heat potential theory / Neil A. Watson. p. cm. – (Mathematical surveys and monographs ; v. 182) Includes bibliographical references and index. ISBN 978-0-8218-4998-9 (alk. paper) 1. Potential theory (Mathematics) I. Title. QA404.7.W38 2012 515.96–dc23 2012004904 Copying and reprinting. Individual readers of this publication, and nonprofit libraries acting for them, are permitted to make fair use of the material, such as to copy a chapter for use in teaching or research. Permission is granted to quote brief passages from this publication in reviews, provided the customary acknowledgment of the source is given. Republication, systematic copying, or multiple reproduction of any material in this publication is permitted only under license from the American Mathematical Society. Requests for such permission should be addressed to the Acquisitions Department, American Mathematical Society, 201 Charles Street, Providence, Rhode Island 02904-2294 USA. Requests can also be made by e-mail to [email protected]. c 2012 by the American Mathematical Society. -
Optimal Sobolev Embeddings and Function Spaces
Optimal Sobolev embeddings and Function Spaces Nadia Clavero Director: Javier Soria Tutor: Joan Cerd`a M´asteren Matem´aticaAvanzada y Profesional Especialidad Acad´emicaAvanzada Curso 2010/2011 U UNIVERSITAT DE BARCELONA B Contents 1 Introduction5 2 Preliminaries 11 2.1 The distribution function............................. 11 2.2 Decreasing rearrangements............................ 12 2.3 Rearrangement invariant Banach function spaces................ 16 2.4 Orlicz spaces................................... 18 2.5 Lorentz spaces................................... 22 2.6 Lorentz Zygmund spaces............................. 25 2.7 Interpolation spaces................................ 26 2.8 Weighted Hardy operators............................ 28 3 Sobolev spaces 35 3.1 Introduction.................................... 35 3.2 Definitions and basic properties......................... 35 3.3 Riesz potencials.................................. 38 3.4 Sobolev embedding theorem........................... 40 4 Orlicz spaces and Lorentz spaces 49 4.1 Introduction.................................... 49 4.2 Sobolev embeddings into Orlicz spaces..................... 50 4.3 Sobolev embeddings into Lorentz spaces.................... 52 4.4 Sobolev embeddings into Lorentz Zygmund spaces............... 56 5 Optimal Sobolev embeddings on rearrangement invariant spaces 59 5.1 Introduction.................................... 59 5.2 Reduction Theorem................................ 59 5.3 Optimal range and optimal domain of r.i. norms................ 70 5.4 Examples.................................... -
On Essential Self-Adjointness, Confining Potentials & the Lp-Hardy
Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere without the permission of the Author. On Essential Self-adjointness, Confining Potentials & the Lp-Hardy Inequality A Thesis Presented in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Mathematics at Massey University, Albany, New Zealand A.D.Ward - New Zealand Institute of Advanced Study August 8, 2014 Abstract Let Ω be a domain in Rm with non-empty boundary and let H = −∆ + V be a 1 Schr¨odingeroperator defined on C0 (Ω) where V 2 L1;loc(Ω). We seek the minimal criteria on the potential V that ensures that H is essentially self-adjoint, i.e. that en- sures the closed operator H¯ is self-adjoint. Overcoming various technical problems, we extend the results of Nenciu & Nenciu in [1] to more general types of domain, specifically unbounded domains and domains whose boundaries are fractal. As a special case of an abstract condition we show that H is essentially self-adjoint provided that sufficiently close to the boundary 1 1 1 V (x) ≥ 1 − µ (Ω) − − − · · · ; (1) d(x)2 2 ln( d(x)−1) ln( d(x)−1) ln ln( d(x)−1) where d(x) = dist(x; @Ω) and the right hand side of the above inequality contains a finite number of logarithmic terms. The constant µ2(Ω) appearing in (1) is the variational constant associated with the L2-Hardy inequality and is non-zero if and only if Ω admits the aforementioned inequality. -
Sobolev-Type Spaces (Mainly Based on the Lp Norm) on Metric Spaces, and Newto- Nian Spaces in Particular, Have Been Under Intensive Study Since the Mid-"##$S
- ) . / 0 &/ . ! " # $" ! %&' '( ! ) *+, !"## $ "% ' ( &)*+) ,##(-./*01*2/ ,#3(+140+)01*)+0.*/0- %"52-)/ 6 7 %80$%6!"6#62-)/ i Abstract !is thesis consists of four papers and focuses on function spaces related to !rst- order analysis in abstract metric measure spaces. !e classical (i.e., Sobolev) theory in Euclidean spaces makes use of summability of distributional gradients, whose de!nition depends on the linear structure of Rn. In metric spaces, we can replace the distributional gradients by (weak) upper gradients that control the functions’ behav- ior along (almost) all recti!able curves, which gives rise to the so-called Newtonian spaces. !e summability condition, considered in the thesis, is expressed using a general Banach function lattice quasi-norm and so an extensive framework is built. Sobolev-type spaces (mainly based on the Lp norm) on metric spaces, and Newto- nian spaces in particular, have been under intensive study since the mid-"##$s. In Paper I, the elementary theory of Newtonian spaces based on quasi-Banach function lattices is built up. Standard tools such as moduli of curve families and the Sobolev capacity are developed and applied to study the basic properties of Newto- nian functions. Summability of a (weak) upper gradient of a function is shown to guarantee the function’s absolute continuity on almost all curves. Moreover, New- tonian spaces are proven complete in this general setting. Paper II investigates the set of all weak upper gradients of a Newtonian function. In particular, existence of minimal weak upper gradients is established. Validity of Lebesgue’s di%erentiation theorem for the underlying metric measure space ensures that a family of representation formulae for minimal weak upper gradients can be found.