Mann Integrable Function Defined on the Interva

Total Page:16

File Type:pdf, Size:1020Kb

Mann Integrable Function Defined on the Interva HOMEWORK 1 MATH 4121 (1) Textbook, I.3.B, page 34. Show that if f :[a; b] ! R is a Rie- mann integrable function defined on the interval [a; b], then f is bounded. Solution: Assume that f is not bounded. We will show that f is not Riemann integrable. To do so, we will show that for any partition P , there exists two choices of sample points ξj and ηj so that the Riemann sum S(P ; f; ξ) and S(P ; f; η) are not close to each other. If f is not bounded, then its values are either not bounded above or not bounded below (or both). Assume without loss of generality that the values of f are not bounded above. Now let P be a partition, and let δ be the length of the smallest interval of P . Let ξj be an arbitrary choice of sample points, and let M = maxff(ξ1); : : : ; f(ξn)g. Because f is not bounded above, there exists some x∗ such that f(x∗) ≥ M + δ−1: We now choose our second set of sample points ηj as follows. Let ∗ ∗ ∗ j be the index of an interval of P that contains x . Set ηj∗ = x . For all other intervals, set ηj = ξj. Because ηj agrees with ξj on all but one of the intervals, it is easy to compute S(P ; f; η) − S(P ; f; ξ). Indeed, ∗ S(P ; f; η) − S(P ; f; ξ) = (f(x ) − f(ξj))(xj∗ − xj∗−1) ≥ (M + δ−1) − M δ = 1: On the other hand, if f were Riemann integrable, there would exist an L such that for some partition P , we would have jS(P ; f; ξ) − Lj < 1 1 2 and jS(P ; f; η) − Lj < 2 . This would imply that jS(P ; f; ξ) − S(P ; f; η)j < 1; which contradicts our construction where S(P ; f; η) − S(P ; f; ξ) ≥ 1. (2) Textbook, I.3.C, page 34. Show that the Dirichlet function is not Riemann integrable. Recall that the Dirichlet function D : [0; 1] ! R is defined as ( 1 if x 2 D(x) = Q 0 if x2 = Q: 1 2 MATH 4121 Solution: Because every nonempty open interval in [0; 1] must con- tain both rational and irrational numbers, for an arbitrary parti- tion P the upper and lower Darboux sums satisfy S(P; f) = 1 and S(P; f) = 0. Therefore, Z b Z b D(x) dx − D(x) dx = 1 a a so D(x) cannot be Riemann integrable. (3) Textbook, I.3.D, page 34. Prove that every continuous function on [a; b] is Riemann integrable on [a; b]. Solution: If f :[a; b] ! R is continutous, then f is uniformly contin- uous. (This is Heine's theorem 0.6.6, on page 17 of the textbook.) Hence for each > 0 there is δ > 0 so that jf(x) − f(x0)j < when- ever jx − x0j < δ. If P is a partition of [a; b] with jP j < δ then it follows that fi − fi ≤ for each i, so X X S(P; f) − S(P; f) = fi − fi (xi − xi−1) ≤ (xi − xi−1) = (b − a). i i Therefore, infP S(P; f) − supP S(P; f) ≤ infP S(P; f) − S(P; f) = 0, which means that f is Riemann-integrable. (4) Textbook, I.3.H, page 35. Let f : [0; 1] ! R be defined by ( 1=q if x = p=q where p; q are coprime positive integers and q 6= 0 f(x) = 0 if x2 = Q or x = 0; 1: (a) Prove that f is continuous at every irrational point of [0; 1] and discontinuous where f(x) 6= 0. R 1 (b) Prove that f is Riemann integrable on [0; 1] and 0 f(x) dx = 0. Solution: (a) It is clear that f is discontinuous at every point where it is non-zero. In fact, let x0 = p=q 2 (0; 1) be such a point. Then f(x0) > 0 while arbitrarily near x0 there are irrational points, where f is zero. In order to show that f is continuous at any irrational x 2 [0; 1], 1 let > 0 be given and choose q 2 N big enough so that q < . Let S be the finite set consisting of all rational numbers between m 0 and 1 that can be written as n for m; n 2 N and n ≤ q. Since x is irrational, it can't be an element of S, hence there are consecutive numbers s; s0 2 S, s < s0, such that x 2 (s; s0). By consecutive I mean that no element of S lies in (s; s0). Now let δ > 0 be sufficiently small that (x − δ; x + δ) ⊂ (s; s0). It follows that for all y such that jx − yj < δ, either y is irrational, in which case f(y) = f(x) = 0, or y is a rational number that cannot be written as a fraction with denominator less than q, HOMEWORK 1 3 1 in which case jf(x) − f(y)j = f(y) < q < . This shows that f is continuous at x. (b) The claim that f is Riemann integrable is an immediate conse- quence of Lebesgue's theorem (I.5.1, page 41), which says that a bounded function on [a; b] is Riemann integrable if and only if it is continuous almost everywhere. We can also prove this directly as follows. For any given > 0 1 let us fix q 2 N such that q < . Let S = fs1; s2; : : : ; sN g be the same finite set of rational numbers with denominators less than or equal to q introduced in the first part of this exercise, where s1 < s2 < ··· < sN . We now define a partition P of [0; 1] + − ± consisting of 0; 1 and the points xi and xi given by xi = si± M for i = 1; 2;:::;N where M ≥ 2N is big enough in order to + − guarantee that xi−1 < xi for each i. + − Notice that f ≤ 1=q on each interval of the form xi−1; xi and f is bounded by 1 on each interval (around si) of the form − + xi ; xi . The sum of the lengths of the intervals of the second kind is less than and the sum of the lengths of the intervals of first kind is less than 1. Thus we obtain 1 S(P; f) ≤ + < 2. q Therefore, the upper Dirichlet integral is 0, and since the lower Dirichlet integral is not negative for a non-negative function, we must have Z 1 Z 1 f(x) dx = f(x) dx: 0 0 R 1 Thus we conclude that f is Riemann-integrable with 0 f(x) dx = 0: (5) Riemann's example. To demonstrate the value of his formulation of the integral, Riemann (1854) proposed the following example of a function which is discontinuous on a dense set of points but still integrable. (The previous problem gives a simpler but less interesting example of such a function.) First define hxi = the integer closest to x (and for definiteness let us require it to be right-continuous, so that h1=2i = 1 for example. It is not important how it is defined on the points of discontinuity.) Now set ( x − hxi if x 6= k=2 for any k 2 B(x) = Z 0 if x = k=2 for some k 2 Z 4 MATH 4121 and finally define Riemann's function as 1 X B(nx) f(x) = : n2 n=1 The graph of this function over [0; 1] is shown in figure 1. (a) Show that f is discontinuous at every rational point with an even denominator (and odd numerator). (b) Show that f is integrable over [0; 1]. (c) Show that 1 Z 1=2 1 X 1 f(x) dx = ≈ 0:131475: 8 (2k − 1)3 0 k=1 Solution: (a) B(x) is clearly discontinuous at every point of the form (2m + 1)=2, for m 2 Z. It follows that B(nx) is discontinuous at each point x = (2m + 1)=2n, m 2 Z. At such point, the jump (the difference between the right-limit and the left-limit) is negative: B(nx+) − B(nx−) < 0, so there cannot be a cancellation of Pn B(kx) jumps in the partial sums fn(x) = k=1 k2 . Therefore, each point of discontinuity of B(kx) for each k 2 N is also a point of discontinuity for fn(x) for n ≥ k, and the jump in fn at x is at B(kx) 1 least as big as the jump in k2 at x, namely at least k2 in the negative direction. The limit of the partial sums fn is the function f, and we would like to conclude that because the fn are discontinuous at the point x, so is f. To do so, we must use the fact that the fn converge to f uniformly, proved in part (b) below. As discussed, since x is a point of discontinuity for B(kx), it is also a point 1 of discontinuity for fn for n ≥ k, with a jump at least k2 . By uniform convergence, we can choose an n large enough so that 1 we also have jf(t) − fn(t)j < 5k2 for all t. We know that there exists a δ such that for all y with x−δ < y < 1 x, we have that fn(y) is within 5k2 of the left-hand limit fn(x−).
Recommended publications
  • Geometric Integration Theory Contents
    Steven G. Krantz Harold R. Parks Geometric Integration Theory Contents Preface v 1 Basics 1 1.1 Smooth Functions . 1 1.2Measures.............................. 6 1.2.1 Lebesgue Measure . 11 1.3Integration............................. 14 1.3.1 Measurable Functions . 14 1.3.2 The Integral . 17 1.3.3 Lebesgue Spaces . 23 1.3.4 Product Measures and the Fubini–Tonelli Theorem . 25 1.4 The Exterior Algebra . 27 1.5 The Hausdorff Distance and Steiner Symmetrization . 30 1.6 Borel and Suslin Sets . 41 2 Carath´eodory’s Construction and Lower-Dimensional Mea- sures 53 2.1 The Basic Definition . 53 2.1.1 Hausdorff Measure and Spherical Measure . 55 2.1.2 A Measure Based on Parallelepipeds . 57 2.1.3 Projections and Convexity . 57 2.1.4 Other Geometric Measures . 59 2.1.5 Summary . 61 2.2 The Densities of a Measure . 64 2.3 A One-Dimensional Example . 66 2.4 Carath´eodory’s Construction and Mappings . 67 2.5 The Concept of Hausdorff Dimension . 70 2.6 Some Cantor Set Examples . 73 i ii CONTENTS 2.6.1 Basic Examples . 73 2.6.2 Some Generalized Cantor Sets . 76 2.6.3 Cantor Sets in Higher Dimensions . 78 3 Invariant Measures and the Construction of Haar Measure 81 3.1 The Fundamental Theorem . 82 3.2 Haar Measure for the Orthogonal Group and the Grassmanian 90 3.2.1 Remarks on the Manifold Structure of G(N,M).... 94 4 Covering Theorems and the Differentiation of Integrals 97 4.1 Wiener’s Covering Lemma and its Variants .
    [Show full text]
  • Some Inequalities in the Theory of Functions^)
    SOME INEQUALITIES IN THE THEORY OF FUNCTIONS^) BY ZEEV NEHARI 1. Introduction. Many of the inequalities of function theory and potential theory may be reduced to statements regarding the properties of harmonic domain functions with vanishing or constant boundary values, that is, func- tions which can be obtained from the Green's function by means of elementary processes. For the derivation of these inequalities a large number of different techniques and procedures have been used. It is the aim of this paper to show that many of the known inequalities of this type, and also others which are new, can be obtained as simple consequences of the classical minimum prop- erty of the Dirichlet integral. In addition to the resulting simplification, this method has the further advantage of being capable of generalization to a wide class of linear partial differential equations of elliptic type in two or more variables. The idea of using the positive-definite character of an integral as the point of departure for the derivation of function-theoretic inequalities is, of course, not new and it has been successfully used for this purpose by a num- ber of authors [l; 2; 8; 9; 16]. What the present paper attempts is to give a more or less systematic survey of the type of inequality obtainable in this way. 2. Monotonie functionals. 1. The domains we shall consider will be as- sumed to be bounded by a finite number of closed analytic curves and they will be embedded in a given closed Riemann surface R of finite genus. The symbol 5(a) will be used to denote a "singularity function" with the follow- ing properties: 5(a) is real, harmonic, and single-valued on R, with the excep- tion of a finite number of points at which 5(a) has specified singularities.
    [Show full text]
  • On Liouville Theorems for Harmonic Functions with Finite Dirichlet Integral Udc 517.95
    . C6opHHK Math. USSR Sbornik TOM 132(174)(1987), Ban. 4 Vol. 60(1988), No. 2 ON LIOUVILLE THEOREMS FOR HARMONIC FUNCTIONS WITH FINITE DIRICHLET INTEGRAL UDC 517.95 A. A. GRIGOR'YAN ABSTRACT. A criterion for the validity of the D-Liouville theorem is proved. In §1 it is shown that the question of L°°- and D-Liouville theorems reduces to the study of the so-called massive sets (in other words, the level sets of harmonic functions in the classes L°° and L°° Π D). In §2 some properties of capacity are presented. In §3 the criterion of D-massiveness is formulated—the central result of this article—and examples are presented. In §4 a criterion for the D-Liouville theorem is formulated, and corollaries are derived. In §§5-9 the main theorems are proved. Figures: 5. Bibliography: 17 titles. Introduction The classical theorem of Liouville states that any bounded harmonic function on Rn is constant. It is easy to verify that the following assertions are also true: 1) If the harmonic function u on R™ has finite Dirichlet integral then u = const. 2) If u € LP(R") is a harmonic function, 1 < ρ < oo, then «ΞΟ. The list of theorems of this kind can be extended; they are known in the literature under the general category of Liouville-type theorems. After Moser's paper [1], which in particular proved Liouville's theorem for entire solutions of the uniformly elliptic equation it became possible to study the solutions of the Laplace-Beltrami equation^) on arbitrary Riemannian manifolds. The main efforts here are directed towards finding under what geometric conditions one or another Liouville theorem is true.
    [Show full text]
  • Level-Set Volume-Preserving Diffusions
    Level-set volume-preserving diffusions Yann Brenier CNRS, Centre de mathématiques Laurent Schwartz Ecole Polytechnique, FR 91128 Palaiseau Fluid Mechanics, Hamiltonian Dynamics, and Numerical Aspects of Optimal Transportation, MSRI, October 14-18, 2013 Yann Brenier (CNRS) Level-set volume-preserving diffusions October 2013 1 / 18 EQUIVALENCE OF TWO DIFFERENT FUNCTIONS WITH LEVEL SETS OF EQUAL VOLUME ' ∼ '0 1.5 volume and topology preservation 1 0.5 0 -0.5 -1 -1.5 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 Yann Brenier (CNRS) Level-set volume-preserving diffusions October 2013 2 / 18 MOTIVATION: MINIMIZATION PROBLEMS WITH VOLUME CONSTRAINTS ON LEVEL SETS 1.5 volume and topology preservation 1 0.5 0 -0.5 -1 -1.5 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 This goes back to Kelvin. See Th. B. Benjamin, G. Burton etc.... Yann Brenier (CNRS) Level-set volume-preserving diffusions October 2013 3 / 18 This can be rephrased as Z Z 1 2 inf sup jr'(x)j dx + [F('(x)) − F('0(x))]dx ': ! D R F:R!R 2 D D Optimal solutions are formally solutions to − 4' + F0(') = 0 for some function F : R ! R , and, in 2d, are just stationary solutions to the Euler equations of incompressible fluids. An example in fluid mechanics d d Here D = T = (R=Z) is the flat torus and '0 is a given function on D. We want to minimize the Dirichlet integral among all ' ∼ '0. Yann Brenier (CNRS) Level-set volume-preserving diffusions October 2013 4 / 18 Optimal solutions are formally solutions to − 4' + F0(') = 0 for some function F : R ! R , and, in 2d, are just stationary solutions to the Euler equations of incompressible fluids.
    [Show full text]
  • A Brief Introduction to Lebesgue Theory
    CHAPTER 3 A BRIEF INTRODUCTION TO LEBESGUE THEORY Introduction The span from Newton and Leibniz to Lebesgue covers only 250 years (Figure 3.1). Lebesgue published his dissertation “Integrale,´ longueur, aire” (“Integral, length, area”) in the Annali di Matematica in 1902. Lebesgue developed “measure of a set” in the first chapter and an integral based on his measure in the second. Figure 3.1 From Newton and Leibniz to Lebesgue. Introduction to Real Analysis. By William C. Bauldry 125 Copyright c 2009 John Wiley & Sons, Inc. ⌅ 126 A BRIEF INTRODUCTION TO LEBESGUE THEORY Part of Lebesgue’s motivation were two problems that had arisen with Riemann’s integral. First, there were functions for which the integral of the derivative does not recover the original function and others for which the derivative of the integral is not the original. Second, the integral of the limit of a sequence of functions was not necessarily the limit of the integrals. We’ve seen that uniform convergence allows the interchange of limit and integral, but there are sequences that do not converge uniformly yet the limit of the integrals is equal to the integral of the limit. In Lebesgue’s own words from “Integral, length, area” (as quoted by Hochkirchen (2004, p. 272)), It thus seems to be natural to search for a definition of the integral which makes integration the inverse operation of differentiation in as large a range as possible. Lebesgue was able to combine Darboux’s work on defining the Riemann integral with Borel’s research on the “content” of a set.
    [Show full text]
  • A Generalization of the Mehler-Dirichlet Integral
    MATHEMATICS A GENERALIZATION OF THE MEHLER-DIRICHLET INTEGRAL BY R. L. VAN DE WETERING (Communicated by Prof. H. D. KLOOSTERMAN at the meeting of November 25, 1967) The main results of this paper are the representation of the generalized Legendre's functions PZ'·n(z) of KuiPERS-MEULENBELD by means of integrals which include a generalization of the Mehler-Dirichlet integral [1, pg 267 (127)]. The principal properties of P;:·n(z), which is one of the solutions of the differential equation: d2w dw { m2 n2 } (1) (1-z2) dz2 - 2z dz + k(k+1)- 2(1-z)- 2(1+z) w=O, are found in [2], [3] and [4 ]. In order to obtain these integral representa­ tions it is necessary to extend a result of KuiPERS-MEULENBELD [5, (10)]. From [5, (7)] we have P;;'·n(z) = F(iX+ 1) (z+ 1)Hn-m) J' e-imu{z+ (z2-1)! cos u}~· (2) 1 2nF(fJ+ 1)2m-n u,-2n · {z + 1 + (z2 -1 )! eiu}m-n du, where for the sake of brevity we write m+n m-n m-n m+n iX=k+ -2-· '{J=k- -2-, y=k+ -2-, b=k- -2-. In (2), u1=n+ix+i log (iz+1jljz-1j-!)1) where X is given by [5, Fig. 1]. This integral representation is valid for Re (z)>O, jarg (z-1)1 <n, Re (fJ)> -1 and iX not a negative integer. From (2) we get: F(iX+ 1)(z+ 1)Hm-n) u, P;:·n(z)= 2nF(fJ+1)2m-n J e-imu{z+(z2-1)icosu}~· u 1 -2n .
    [Show full text]
  • Green's Function, Harmonic Transplantation, and Best
    TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 350, Number 3, March 1998, Pages 1103{1128 S 0002-9947(98)02085-6 GREEN'S FUNCTION, HARMONIC TRANSPLANTATION, AND BEST SOBOLEV CONSTANT IN SPACES OF CONSTANT CURVATURE C. BANDLE, A. BRILLARD, AND M. FLUCHER Abstract. We extend the method of harmonic transplantation from Eu- clidean domains to spaces of constant positive or negative curvature. To this end the structure of the Green’s function of the corresponding Laplace- Beltrami operator is investigated. By means of isoperimetric inequalities we derive complementary estimates for its distribution function. We apply the method of harmonic transplantation to the question of whether the best Sobolev constant for the critical exponent is attained, i.e. whether there is an extremal function for the best Sobolev constant in spaces of constant curva- ture. A fairly complete answer is given, based on a concentration-compactness argument and a Pohozaev identity. The result depends on the curvature. 1. Introduction Harmonic transplantation is a device to construct test functions for variational problems of the form v(x) 2 dx J[D]:= inf D|∇ | . vH1(D) p 2=p ∈0 Rv(x) dx D | | D is a domain in RN with smooth boundary.R Harmonic transplantation replaces conformal transplantation for simply connected planar domains. If f : B D is a Riemann map from the unit disk to D and u an arbitrary function defined→ in 1 B, then the function U = u f − is called the conformal transplantation of u into D. It has the following fundamental◦ properties. The Dirichlet integral is invariant under conformal transplantation, i.e.
    [Show full text]
  • The Dirichlet Problem 1
    43 The Dirichlet Problem 1 Lars G~rding Dirichlet's problem is one of the fundamental boundary problems of physics. It appears in electrostatics, heat con- duction, and elasticity theory and it can be solved in many ways. For the mathematicians of the nineteenth century it was a fruitful challenge that they met with new methods and sharper tools. I am going to give a sketch of the prob- lem and its history. Dirichlet did most of his work in number theory and is best known for having proved that every arithmetic pro- gression a, a + b, a + 2b,... contains infinitely many primes when a and b are relatively prime. In 1855, towards the end of his life, he moved from Berlin to G6ttingen to become the successor of Gauss. In Berlin he had lectured on many things including the grand subjects of contemporary physics, electricity, and heat conduction. Through one of his listeners, Bernhard Riemann, Dirichlet's name became attached to a fundamental physical problem. In bare mathe- matical terms it can be stated as follows. 2 h real-valued function u(x) = u(x I ..... Xn) from an open part ~ of Rn is said to be harmonic there if Au = 0 where A = 0~ +... + 02, 0k = O/Oxk, is the Laplace opera- tor. Dirichlet's problem: given ~2 and a continuous function fon the boundary P of ~2, find u harmonic in ~2 and con- tinuous in ~2 U F such that u =fon F. When n = 1, the harmonic functions are of the form axl + b, and conversely, so that the reader may solve Dirichlet's problem by himself when ~2 is an interval on the real axis.
    [Show full text]
  • Asymptotic Formula for Solutions to the Dirichlet Problem for Elliptic Equations with Discontinuous Coefficients Near the Boundary
    Asymptotic formula for solutions to the Dirichlet problem for elliptic equations with discontinuous coefficients near the boundary Vladimir Kozlov, Vladimir Maz'ya∗(Link¨oping) Abstract. We derive an asymptotic formula of a new type for variational solutions of the Dirichlet problem for elliptic equations of arbitrary order. The only a priori assumption on the coefficients of the principal part of the equation is the smallness of the local oscillation near the point. 1 Introduction In the present paper, we consider solutions to the Dirichlet problem for arbitrary even order 2m strongly elliptic equations in divergence form near a point O at the smooth boundary. We require only that the coefficients of the principal part of the operator have small oscillation near this point and the coefficients in lower order terms are allowed to have singularities at the boundary. It is well known that under such conditions, any variational solution belongs to the Sobolev space W m;p with sufficiently large p (see [ADN] and [GT]). Our objective is to prove an explicit asymptotic formula for such a solution near O. Formulae of this type did not appear in the literature so far even for equations of second order. The approach we use is new and may have various other applications. To give an idea of our results we consider the uniformly elliptic equation −div (A(x) grad u(x)) = f(x) in G (1) complemented by the Dirichlet condition u = 0 on @G, (2) where G is a domain in Rn with smooth boundary. We assume that the elements of the n×n-matrix A(x) are measurable and bounded complex-valued functions.
    [Show full text]
  • The Laplacian in Its Different Guises
    U.U.D.M. Project Report 2019:8 The Laplacian in its different guises Oskar Tegby Examensarbete i matematik, 15 hp Handledare: Martin Strömqvist Examinator: Jörgen Östensson Februari 2019 Department of Mathematics Uppsala University Contents 1 p = 2: The Laplacian 3 1.1 In the Dirichlet problem . 3 1.2 In vector calculus . 6 1.3 As a minimizer . 8 1.4 In the complex plane . 13 1.5 As the mean value property . 16 1.6 Viscosity solutions . 17 1.7 In stochastic processes . 18 2 2 < p < and p = : The p-Laplacian and -Laplacian 20 2.1 Ded∞uction of th∞e p-Laplacian and -Laplaci∞an . 20 2.2 As a minimizer . ∞. 22 2.3 Uniqueness of its solutions . 24 2.4 Existence of its solutions . 25 2.4.1 Method 1: Weak solutions and Sobolev spaces . 25 2.4.2 Method 2: Viscosity solutions and Perron’s method . 27 2.5 In the complex plane . 28 2.5.1 The nonlinear Cauchy-Riemann equations . 28 2.5.2 Quasiconformal maps . 29 2.6 In the asymptotic expansion . 36 2.7 As a Tug of War game with or without drift . 41 2.8 Uniqueness of the solutions . 44 1 Introduction The Laplacian n ∂2u ∆u := u = ∇ · ∇ ∂x2 i=1 i � is a scalar operator which gives the divergence of the gradient of a scalar field. It is prevalent in the famous Dirichlet problem, whose importance cannot be overstated. It entails finding the solution u to the problem ∆u = 0 in Ω �u = g on ∂Ω. The Dirichlet problem is of fundamental importance in mathematics and its applications, and the efforts to solve the problem has led to many revolutionary ideas and important advances in mathematics.
    [Show full text]
  • The Direct Method
    Early Research Directions: Calculus of Variations The Direct Method Andrejs Treibergs University of Utah Friday, March 19, 2010 2. ERD Lectures on the Calculus of Variations Notes for the first of three lectures on Calculus of Variations. 1 Andrejs Treibergs, “The Direct Method,” March 19, 2010, 2 Predrag Krtolica, “Falling Dominoes,” April 2, 2010, 3 Andrej Cherkaev, “ ‘Solving’ Problems that Have No Solutions,” April 9, 2010. The URL for these Beamer Slides: “The Direct Method” http://www.math.utah.edu/~treiberg/DirectMethodSlides.pdf 3. References Richard Courant, Dirichlet’s Principle, Conformal Mapping and Minimal Surfaces, Dover (2005); origianlly pub. in series: Pure and Applied Mathematics 3, Interscience Publishers, Inc. (1950). Lawrence C. Evans, Partial Differential Equations, Graduate Studies in Math. 19, American Mathematical Society (1998). Mario Giaquinta, Multiple Integrals in the Calculus of Variations, Annals of Math. Studies 105, Princeton University Press, 1983. Robert McOwen, Partial Differential Equations: Methods and Applications 2nd ed., Prentice Hall (2003). Richard Schoen & S. T. Yau, Lectures on Differential Geometry, Conf. Proc. & Lecture Notes in Geometry and Topology 1, International Press (1994). 4. Outline. Euler Lagrange Equations for Constrained Problems Solution of Minimization Problems Dirichlet’s principle and the Yamabe Problem. Outline of the Direct Method. Examples of failure of the Direct Method. Solve in a special case: Poisson’s Minimization Problem. Cast the minimization problem in Hilbert Space. Coercivity of the functional. Continuity of the functional. Differentiability of the functional. Convexity of the functional and uniqueness. Regularity 5. First Example of a Variational Problem: Shortest Length. To find the shortest curve γ(t) = (t, u(t)) in the Euclidean plane from (a, y1) to (b, y2) we seek the function u ∈ A, the admissible set 1 A = {w ∈ C ([a, b]) : w(a) = y1, w(b) = y2} that minimizes the length integral Z q L(u) = 1 +u ˙ 2(t) dt.
    [Show full text]
  • Sobolev Spaces and Calculus of Variations
    Sobolev spaces and calculus of variations Piotr Haj lasz Introduction Lecture 1: Dirichlet problem, direct method of the calculus of variations and the ori- gin of the Sobolev space. Lecture 2: Sobolev space, basic results: Poincar´einequality, Meyers-Serrin theorem, imbedding theorem ACL-characterisation, Rellich-Kondrachov theorem, trace theorem, extension theorem. Lecture 3: Euler-Lagrange equations, non coercive problems, Mountain-Pass theorem, bootstrap methd. Lecture 4: Pointwie inequalitie and harmonic meatsures, Brenann' conjecture and Øksendal’s theorem, Har- nack' inequality and exitence of non-tangential limits. Lecture 5: Sobolev spaces on metric spaces, Sobolev meet Poincar´e.Lecture 6: Sobolev mappings between manifod and p-harmonic mapping, proof that x=jxj minimize 2-energy. Euler-Lagrange equa- tions. Lecture 7: Bethuel-Brezis-Coron, Riviere and regularity for minimizers. Lecture 8: Sobolev mapping and algebraic topology. Bethuel's theorem and Poincae´econ- jecture. Lecture 9: M¨ullerstheorem on the higher integrability of the Jacobian and existence theorems in nonlinear ellasticity. Lecture 10: Theory of elliptic equations, Minty-Browder's theorem, Harnack's inequality, Liouville's theorem and minimal sur- faces. These are the notes from the lectures that I delivered in August 97 at the De- partment of Mathematics in Helsinki. It is a pleasure for me to thank for this kind invitation and the hospitality. The theory of Sobolev spaces and calculus of variations develop for more than one houndred years and it is not possible even to sketch all the main directions of the theory within ten lectures. Thus I decided to select some topics that will show links between many different ideas and areas in mathematics.
    [Show full text]