Harmonic Functions That Culminated in the Works of Perron and Wiener, and the More Modern Sobolev Space Approach Tied to Calculus of Variations
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Mathematics 412 Partial Differential Equations
Mathematics 412 Partial Differential Equations c S. A. Fulling Fall, 2005 The Wave Equation This introductory example will have three parts.* 1. I will show how a particular, simple partial differential equation (PDE) arises in a physical problem. 2. We’ll look at its solutions, which happen to be unusually easy to find in this case. 3. We’ll solve the equation again by separation of variables, the central theme of this course, and see how Fourier series arise. The wave equation in two variables (one space, one time) is ∂2u ∂2u = c2 , ∂t2 ∂x2 where c is a constant, which turns out to be the speed of the waves described by the equation. Most textbooks derive the wave equation for a vibrating string (e.g., Haber- man, Chap. 4). It arises in many other contexts — for example, light waves (the electromagnetic field). For variety, I shall look at the case of sound waves (motion in a gas). Sound waves Reference: Feynman Lectures in Physics, Vol. 1, Chap. 47. We assume that the gas moves back and forth in one dimension only (the x direction). If there is no sound, then each bit of gas is at rest at some place (x,y,z). There is a uniform equilibrium density ρ0 (mass per unit volume) and pressure P0 (force per unit area). Now suppose the gas moves; all gas in the layer at x moves the same distance, X(x), but gas in other layers move by different distances. More precisely, at each time t the layer originally at x is displaced to x + X(x,t). -
HARMONIC FUNCTIONS for BOUNDED and UNBOUNDED P(X)
UNIVERSITY OF JYVASKYL¨ A¨ UNIVERSITAT¨ JYVASKYL¨ A¨ DEPARTMENT OF MATHEMATICS INSTITUT FUR¨ MATHEMATIK AND STATISTICS UND STATISTIK REPORT 130 BERICHT 130 EXISTENCE AND UNIQUENESS OF p(x)-HARMONIC FUNCTIONS FOR BOUNDED AND UNBOUNDED p(x) JUKKA KEISALA JYVASKYL¨ A¨ 2011 UNIVERSITY OF JYVASKYL¨ A¨ UNIVERSITAT¨ JYVASKYL¨ A¨ DEPARTMENT OF MATHEMATICS INSTITUT FUR¨ MATHEMATIK AND STATISTICS UND STATISTIK REPORT 130 BERICHT 130 EXISTENCE AND UNIQUENESS OF p(x)-HARMONIC FUNCTIONS FOR BOUNDED AND UNBOUNDED p(x) JUKKA KEISALA JYVASKYL¨ A¨ 2011 Editor: Pekka Koskela Department of Mathematics and Statistics P.O. Box 35 (MaD) FI{40014 University of Jyv¨askyl¨a Finland ISBN 978-951-39-4299-1 ISSN 1457-8905 Copyright c 2011, Jukka Keisala and University of Jyv¨askyl¨a University Printing House Jyv¨askyl¨a2011 Contents 0 Introduction 3 0.1 Notation and prerequisities . 6 1 Constant p, 1 < p < 1 8 1.1 The direct method of calculus of variations . 10 1.2 Dirichlet energy integral . 10 2 Infinity harmonic functions, p ≡ 1 13 2.1 Existence of solutions . 14 2.2 Uniqueness of solutions . 18 2.3 Minimizing property and related topics . 22 3 Variable p(x), with 1 < inf p(x) < sup p(x) < +1 24 4 Variable p(x) with p(·) ≡ +1 in a subdomain 30 4.1 Approximate solutions uk ...................... 32 4.2 Passing to the limit . 39 5 One-dimensional case, where p is continuous and sup p(x) = +1 45 5.1 Discussion . 45 5.2 Preliminary results . 47 5.3 Measure of fp(x) = +1g is positive . 48 6 Appendix 51 References 55 0 Introduction In this licentiate thesis we study the Dirichlet boundary value problem ( −∆ u(x) = 0; if x 2 Ω; p(x) (0.1) u(x) = f(x); if x 2 @Ω: Here Ω ⊂ Rn is a bounded domain, p :Ω ! (1; 1] a measurable function, f : @Ω ! R the boundary data, and −∆p(x)u(x) is the p(x)-Laplace operator, which is written as p(x)−2 −∆p(x)u(x) = − div jru(x)j ru(x) for finite p(x). -
Topics on Calculus of Variations
TOPICS ON CALCULUS OF VARIATIONS AUGUSTO C. PONCE ABSTRACT. Lecture notes presented in the School on Nonlinear Differential Equa- tions (October 9–27, 2006) at ICTP, Trieste, Italy. CONTENTS 1. The Laplace equation 1 1.1. The Dirichlet Principle 2 1.2. The dawn of the Direct Methods 4 1.3. The modern formulation of the Calculus of Variations 4 1 1.4. The space H0 (Ω) 4 1.5. The weak formulation of (1.2) 8 1.6. Weyl’s lemma 9 2. The Poisson equation 11 2.1. The Newtonian potential 11 2.2. Solving (2.1) 12 3. The eigenvalue problem 13 3.1. Existence step 13 3.2. Regularity step 15 3.3. Proof of Theorem 3.1 16 4. Semilinear elliptic equations 16 4.1. Existence step 17 4.2. Regularity step 18 4.3. Proof of Theorem 4.1 20 References 20 1. THE LAPLACE EQUATION Let Ω ⊂ RN be a body made of some uniform material; on the boundary of Ω, we prescribe some fixed temperature f. Consider the following Question. What is the equilibrium temperature inside Ω? Date: August 29, 2008. 1 2 AUGUSTO C. PONCE Mathematically, if u denotes the temperature in Ω, then we want to solve the equation ∆u = 0 in Ω, (1.1) u = f on ∂Ω. We shall always assume that f : ∂Ω → R is a given smooth function and Ω ⊂ RN , N ≥ 3, is a smooth, bounded, connected open set. We say that u is a classical solution of (1.1) if u ∈ C2(Ω) and u satisfies (1.1) at every point of Ω. -
(Ott. 1998) 479-500. Imbedding Theorems of Sobolev
Bollettino UMI s. VIII, v. 1-B, n.3 (ott. 1998) 479-500. Imbedding theorems of Sobolev spaces into Lorentz spaces Luc TARTAR CARNEGIE-MELLON University, Pittsburgh 15213, U.S.A. Dedicated to Jacques-Louis LIONS When I was a student at Ecole Polytechnique, which was still in Paris on the “Montagne Sainte Genevi`eve” at the time (1965 to 1967), I had the chance of having two great teachers in Mathematics, Laurent SCHWARTZ and Jacques-Louis LIONS. Apart from a lecture on Calculus of Variations that he taught in place of Laurent SCHWARTZ, Jacques-Louis LIONS taught the Numerical Analysis course, which then meant mostly classical algorithms; partial differential equations only occured in one dimension, and were treated by finite difference schemes, and it was only in a seminar for interested students that I first heard about Sobolev spaces. Later, I heard Jacques-Louis LIONS teach about various technical properties of Sobolev spaces, but although he often used Sobolev imbedding theorem, I do not remember hearing him give a proof. I had read the original proof of SOBOLEV [So], which I had first seen mentioned in Laurent SCHWARTZ’s book on distributions [Sc], and the proof that Jacques-Louis LIONS had taught in Montr´eal[Li], based on the ideas of Emilio GAGLIARDO [Ga]. While I was working for my thesis under the guidance of Jacques-Louis LIONS, I had the pleasure of being invited a few times in a restaurant near the “Halles aux Vins” (the term “Jussieu” was not yet in use). These dinners usually followed talks by famous mathematicians at the seminar which Jacques-Louis LIONS and Laurent SCHWARTZ were organizing every Friday at the Institut Henri POINCARE´ (abbreviated as IHP). -
THE IMPACT of RIEMANN's MAPPING THEOREM in the World
THE IMPACT OF RIEMANN'S MAPPING THEOREM GRANT OWEN In the world of mathematics, scholars and academics have long sought to understand the work of Bernhard Riemann. Born in a humble Ger- man home, Riemann became one of the great mathematical minds of the 19th century. Evidence of his genius is reflected in the greater mathematical community by their naming 72 different mathematical terms after him. His contributions range from mathematical topics such as trigonometric series, birational geometry of algebraic curves, and differential equations to fields in physics and philosophy [3]. One of his contributions to mathematics, the Riemann Mapping Theorem, is among his most famous and widely studied theorems. This theorem played a role in the advancement of several other topics, including Rie- mann surfaces, topology, and geometry. As a result of its widespread application, it is worth studying not only the theorem itself, but how Riemann derived it and its impact on the work of mathematicians since its publication in 1851 [3]. Before we begin to discover how he derived his famous mapping the- orem, it is important to understand how Riemann's upbringing and education prepared him to make such a contribution in the world of mathematics. Prior to enrolling in university, Riemann was educated at home by his father and a tutor before enrolling in high school. While in school, Riemann did well in all subjects, which strengthened his knowl- edge of philosophy later in life, but was exceptional in mathematics. He enrolled at the University of G¨ottingen,where he learned from some of the best mathematicians in the world at that time. -
Berestycki, Introduction to the Gaussian Free Field and Liouville
Introduction to the Gaussian Free Field and Liouville Quantum Gravity Nathanaël Berestycki [Draft lecture notes: July 19, 2016] 1 Contents 1 Definition and properties of the GFF6 1.1 Discrete case∗ ...................................6 1.2 Green function..................................8 1.3 GFF as a stochastic process........................... 10 1.4 GFF as a random distribution: Dirichlet energy∗ ................ 13 1.5 Markov property................................. 15 1.6 Conformal invariance............................... 16 1.7 Circle averages.................................. 16 1.8 Thick points.................................... 18 1.9 Exercises...................................... 19 2 Liouville measure 22 2.1 Preliminaries................................... 23 2.2 Convergence and uniform integrability in the L2 phase............ 24 2.3 The GFF viewed from a Liouville typical point................. 25 2.4 General case∗ ................................... 27 2.5 The phase transition in Gaussian multiplicative chaos............. 29 2.6 Conformal covariance............................... 29 2.7 Random surfaces................................. 32 2.8 Exercises...................................... 32 3 The KPZ relation 34 3.1 Scaling exponents; KPZ theorem........................ 34 3.2 Applications of KPZ to exponents∗ ....................... 36 3.3 Proof in the case of expected Minkowski dimension.............. 37 3.4 Sketch of proof of Hausdorff KPZ using circle averages............ 39 3.5 Proof of multifractal spectrum of Liouville -
FETI-DP Domain Decomposition Method
ECOLE´ POLYTECHNIQUE FED´ ERALE´ DE LAUSANNE Master Project FETI-DP Domain Decomposition Method Supervisors: Author: Davide Forti Christoph Jaggli¨ Dr. Simone Deparis Prof. Alfio Quarteroni A thesis submitted in fulfilment of the requirements for the degree of Master in Mathematical Engineering in the Chair of Modelling and Scientific Computing Mathematics Section June 2014 Declaration of Authorship I, Christoph Jaggli¨ , declare that this thesis titled, 'FETI-DP Domain Decomposition Method' and the work presented in it are my own. I confirm that: This work was done wholly or mainly while in candidature for a research degree at this University. Where any part of this thesis has previously been submitted for a degree or any other qualification at this University or any other institution, this has been clearly stated. Where I have consulted the published work of others, this is always clearly at- tributed. Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. I have acknowledged all main sources of help. Where the thesis is based on work done by myself jointly with others, I have made clear exactly what was done by others and what I have contributed myself. Signed: Date: ii ECOLE´ POLYTECHNIQUE FED´ ERALE´ DE LAUSANNE Abstract School of Basic Science Mathematics Section Master in Mathematical Engineering FETI-DP Domain Decomposition Method by Christoph Jaggli¨ FETI-DP is a dual iterative, nonoverlapping domain decomposition method. By a Schur complement procedure, the solution of a boundary value problem is reduced to solving a symmetric and positive definite dual problem in which the variables are directly related to the continuity of the solution across the interface between the subdomains. -
An Improved Riemann Mapping Theorem and Complexity In
AN IMPROVED RIEMANN MAPPING THEOREM AND COMPLEXITY IN POTENTIAL THEORY STEVEN R. BELL Abstract. We discuss applications of an improvement on the Riemann map- ping theorem which replaces the unit disc by another “double quadrature do- main,” i.e., a domain that is a quadrature domain with respect to both area and boundary arc length measure. Unlike the classic Riemann Mapping Theo- rem, the improved theorem allows the original domain to be finitely connected, and if the original domain has nice boundary, the biholomorphic map can be taken to be close to the identity, and consequently, the double quadrature do- main close to the original domain. We explore some of the parallels between this new theorem and the classic theorem, and some of the similarities between the unit disc and the double quadrature domains that arise here. The new results shed light on the complexity of many of the objects of potential theory in multiply connected domains. 1. Introduction The unit disc is the most famous example of a “double quadrature domain.” The average of an analytic function on the disc with respect to both area measure and with respect to boundary arc length measure yield the value of the function at the origin when these averages make sense. The Riemann Mapping Theorem states that when Ω is a simply connected domain in the plane that is not equal to the whole complex plane, a biholomorphic map of Ω to this famous double quadrature domain exists. We proved a variant of the Riemann Mapping Theorem in [16] that allows the domain Ω = C to be simply or finitely connected. -
Sobolev Spaces on Gelfand Pairs
Sobolev spaces on Gelfand pairs Mateusz Krukowski Institute of Mathematics, Łódź University of Technology, Wólczańska 215, 90-924 Łódź, Poland e-mail: [email protected] March 20, 2020 Abstract The primary aim of the paper is the study of Sobolev spaces in the context of Gelfand pairs. The article commences with providing a historical overview and motivation for the researched subject together with a summary of the current state of the literature. What follows is a general outline of harmonic analysis on Gelfand pairs, starting with a concept of positive-semidefinite functions, through spherical functions and spherical transform and concluding with the Hausdorff-Young inequality. The main part of the paper introduces the notion of Sobolev spaces on Gelfand pairs and studies the prop- erties of these spaces. It turns out that Sobolev embedding theorems and Rellich-Kondrachov theorem still hold true in this generalized context (if certain technical caveats are taken into consideration). Keywords : Gelfand pairs, spherical transform, Hausdorff-Young inequality, Sobolev spaces, Sobolev embedding theorems, Rellich-Kondrachov theorem, bosonic string equation AMS Mathematics Subject Classification : 43A15, 43A32, 43A35, 43A40, 43A90 1 Introduction It is difficult to imagine a mathematician working in a field of differential equations, who has not heard of Sobolev spaces. These spaces are named after Sergei Sobolev (1908 ´ 1989), although they were known before the rise of the Russian mathematician to academic stardom. In 1977 Gaetano Fichera wrote arXiv:2003.08519v1 [math.FA] 19 Mar 2020 (comp. [32]): “These spaces, at least in the particular case p “ 2, were known since the very beginning of this century, to the Italian mathematicians Beppo Levi and Guido Fubini who investigated the Dirichlet minimum principle for elliptic equations.” According to Fichera, at the beginning of the fifties, a group of French mathematicians decided to dub the spaces in question and they came up with the name “Beppo Levi spaces”. -
Harmonic Calculus on P.C.F. Self-Similar Sets
transactions of the american mathematical society Volume 335, Number 2, February 1993 HARMONIC CALCULUSON P.C.F. SELF-SIMILAR SETS JUN KIGAMI Abstract. The main object of this paper is the Laplace operator on a class of fractals. First, we establish the concept of the renormalization of difference operators on post critically finite (p.c.f. for short) self-similar sets, which are large enough to include finitely ramified self-similar sets, and extend the results for Sierpinski gasket given in [10] to this class. Under each invariant operator for renormalization, the Laplace operator, Green function, Dirichlet form, and Neumann derivatives are explicitly constructed as the natural limits of those on finite pre-self-similar sets which approximate the p.c.f. self-similar sets. Also harmonic functions are shown to be finite dimensional, and they are character- ized by the solution of an infinite system of finite difference equations. 0. Introduction Mathematical analysis has recently begun on fractal sets. The pioneering works are the probabilistic approaches of Kusuoka [11] and Barlow and Perkins [2]. They have constructed and investigated Brownian motion on the Sierpinski gaskets. In their standpoint, the Laplace operator has been formulated as the infinitesimal generator of the diffusion process. On the other hand, in [10], we have found the direct and natural definition of the Laplace operator on the Sierpinski gaskets as the limit of difference opera- tors. In the present paper, we extend the results in [10] to a class of self-similar sets called p.c.f. self-similar sets which include the nested fractals defined by Lindstrom [13]. -
Properly-Weighted Graph Laplacian for Semi-Supervised Learning
PROPERLY-WEIGHTED GRAPH LAPLACIAN FOR SEMI-SUPERVISED LEARNING JEFF CALDER Department of Mathematics, University of Minnesota DEJAN SLEPČEV Department of Mathematical Sciences, Carnegie Mellon University Abstract. The performance of traditional graph Laplacian methods for semi-supervised learning degrades substantially as the ratio of labeled to unlabeled data decreases, due to a degeneracy in the graph Laplacian. Several approaches have been proposed recently to address this, however we show that some of them remain ill-posed in the large-data limit. In this paper, we show a way to correctly set the weights in Laplacian regularization so that the estimator remains well posed and stable in the large-sample limit. We prove that our semi-supervised learning algorithm converges, in the infinite sample size limit, to the smooth solution of a continuum variational problem that attains the labeled values continuously. Our method is fast and easy to implement. 1. Introduction For many applications of machine learning, such as medical image classification and speech recognition, labeling data requires human input and is expensive [13], while unlabeled data is relatively cheap. Semi-supervised learning aims to exploit this dichotomy by utilizing the geometric or topological properties of the unlabeled data, in conjunction with the labeled data, to obtain better learning algorithms. A significant portion of the semi-supervised literature is on transductive learning, whereby a function is learned only at the unlabeled points, and not as a parameterized function on an ambient space. In the transductive setting, graph based algorithms, such the graph Laplacian-based learning pioneered by [53], are widely used and have achieved great success [3,26,27,44–48,50, 52]. -
Combinatorial and Analytical Problems for Fractals and Their Graph Approximations
UPPSALA DISSERTATIONS IN MATHEMATICS 112 Combinatorial and analytical problems for fractals and their graph approximations Konstantinos Tsougkas Department of Mathematics Uppsala University UPPSALA 2019 Dissertation presented at Uppsala University to be publicly examined in Polhemsalen, Ångströmlaboratoriet, Lägerhyddsvägen 1, Uppsala, Friday, 15 February 2019 at 13:15 for the degree of Doctor of Philosophy. The examination will be conducted in English. Faculty examiner: Professor Ben Hambly (Mathematical Institute, University of Oxford). Abstract Tsougkas, K. 2019. Combinatorial and analytical problems for fractals and their graph approximations. Uppsala Dissertations in Mathematics 112. 37 pp. Uppsala: Department of Mathematics. ISBN 978-91-506-2739-8. The recent field of analysis on fractals has been studied under a probabilistic and analytic point of view. In this present work, we will focus on the analytic part developed by Kigami. The fractals we will be studying are finitely ramified self-similar sets, with emphasis on the post-critically finite ones. A prototype of the theory is the Sierpinski gasket. We can approximate the finitely ramified self-similar sets via a sequence of approximating graphs which allows us to use notions from discrete mathematics such as the combinatorial and probabilistic graph Laplacian on finite graphs. Through that approach or via Dirichlet forms, we can define the Laplace operator on the continuous fractal object itself via either a weak definition or as a renormalized limit of the discrete graph Laplacians on the graphs. The aim of this present work is to study the graphs approximating the fractal and determine connections between the Laplace operator on the discrete graphs and the continuous object, the fractal itself.