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Baire Category Theorem and Uniform Boundedness Principle)
Functional Analysis (WS 19/20), Problem Set 3 (Baire Category Theorem and Uniform Boundedness Principle) Baire Category Theorem B1. Let (X; k·kX ) be an innite dimensional Banach space. Prove that X has uncountable Hamel basis. Note: This is Problem A2 from Problem Set 1. B2. Consider subset of bounded sequences 1 A = fx 2 l : only nitely many xk are nonzerog : Can one dene a norm on A so that it becomes a Banach space? Consider the same question with the set of polynomials dened on interval [0; 1]. B3. Prove that the set L2(0; 1) has empty interior as the subset of Banach space L1(0; 1). B4. Let f : [0; 1) ! [0; 1) be a continuous function such that for every x 2 [0; 1), f(kx) ! 0 as k ! 1. Prove that f(x) ! 0 as x ! 1. B5.( Uniform Boundedness Principle) Let (X; k · kX ) be a Banach space and (Y; k · kY ) be a normed space. Let fTαgα2A be a family of bounded linear operators between X and Y . Suppose that for any x 2 X, sup kTαxkY < 1: α2A Prove that . supα2A kTαk < 1 Uniform Boundedness Principle U1. Let F be a normed space C[0; 1] with L2(0; 1) norm. Check that the formula 1 Z n 'n(f) = n f(t) dt 0 denes a bounded linear functional on . Verify that for every , F f 2 F supn2N j'n(f)j < 1 but . Why Uniform Boundedness Principle is not satised in this case? supn2N k'nk = 1 U2.( pointwise convergence of operators) Let (X; k · kX ) be a Banach space and (Y; k · kY ) be a normed space. -
3 Bilinear Forms & Euclidean/Hermitian Spaces
3 Bilinear Forms & Euclidean/Hermitian Spaces Bilinear forms are a natural generalisation of linear forms and appear in many areas of mathematics. Just as linear algebra can be considered as the study of `degree one' mathematics, bilinear forms arise when we are considering `degree two' (or quadratic) mathematics. For example, an inner product is an example of a bilinear form and it is through inner products that we define the notion of length in n p 2 2 analytic geometry - recall that the length of a vector x 2 R is defined to be x1 + ... + xn and that this formula holds as a consequence of Pythagoras' Theorem. In addition, the `Hessian' matrix that is introduced in multivariable calculus can be considered as defining a bilinear form on tangent spaces and allows us to give well-defined notions of length and angle in tangent spaces to geometric objects. Through considering the properties of this bilinear form we are able to deduce geometric information - for example, the local nature of critical points of a geometric surface. In this final chapter we will give an introduction to arbitrary bilinear forms on K-vector spaces and then specialise to the case K 2 fR, Cg. By restricting our attention to thse number fields we can deduce some particularly nice classification theorems. We will also give an introduction to Euclidean spaces: these are R-vector spaces that are equipped with an inner product and for which we can `do Euclidean geometry', that is, all of the geometric Theorems of Euclid will hold true in any arbitrary Euclidean space. -
Representation of Bilinear Forms in Non-Archimedean Hilbert Space by Linear Operators
Comment.Math.Univ.Carolin. 47,4 (2006)695–705 695 Representation of bilinear forms in non-Archimedean Hilbert space by linear operators Toka Diagana This paper is dedicated to the memory of Tosio Kato. Abstract. The paper considers representing symmetric, non-degenerate, bilinear forms on some non-Archimedean Hilbert spaces by linear operators. Namely, upon making some assumptions it will be shown that if φ is a symmetric, non-degenerate bilinear form on a non-Archimedean Hilbert space, then φ is representable by a unique self-adjoint (possibly unbounded) operator A. Keywords: non-Archimedean Hilbert space, non-Archimedean bilinear form, unbounded operator, unbounded bilinear form, bounded bilinear form, self-adjoint operator Classification: 47S10, 46S10 1. Introduction Representing bounded or unbounded, symmetric, bilinear forms by linear op- erators is among the most attractive topics in representation theory due to its significance and its possible applications. Applications include those arising in quantum mechanics through the study of the form sum associated with the Hamil- tonians, mathematical physics, symplectic geometry, variational methods through the study of weak solutions to some partial differential equations, and many oth- ers, see, e.g., [3], [7], [10], [11]. This paper considers representing symmetric, non- degenerate, bilinear forms defined over the so-called non-Archimedean Hilbert spaces Eω by linear operators as it had been done for closed, positive, symmetric, bilinear forms in the classical setting, see, e.g., Kato [11, Chapter VI, Theo- rem 2.23, p. 331]. Namely, upon making some assumptions it will be shown that if φ : D(φ) × D(φ) ⊂ Eω × Eω 7→ K (K being the ground field) is a symmetric, non-degenerate, bilinear form, then there exists a unique self-adjoint (possibly unbounded) operator A such that (1.1) φ(u, v)= hAu, vi, ∀ u ∈ D(A), v ∈ D(φ) where D(A) and D(φ) denote the domains of A and φ, respectively. -
A Symplectic Banach Space with No Lagrangian Subspaces
transactions of the american mathematical society Volume 273, Number 1, September 1982 A SYMPLECTIC BANACHSPACE WITH NO LAGRANGIANSUBSPACES BY N. J. KALTON1 AND R. C. SWANSON Abstract. In this paper we construct a symplectic Banach space (X, Ü) which does not split as a direct sum of closed isotropic subspaces. Thus, the question of whether every symplectic Banach space is isomorphic to one of the canonical form Y X Y* is settled in the negative. The proof also shows that £(A") admits a nontrivial continuous homomorphism into £(//) where H is a Hilbert space. 1. Introduction. Given a Banach space E, a linear symplectic form on F is a continuous bilinear map ß: E X E -> R which is alternating and nondegenerate in the (strong) sense that the induced map ß: E — E* given by Û(e)(f) = ü(e, f) is an isomorphism of E onto E*. A Banach space with such a form is called a symplectic Banach space. It can be shown, by essentially the argument of Lemma 2 below, that any symplectic Banach space can be renormed so that ß is an isometry. Any symplectic Banach space is reflexive. Standard examples of symplectic Banach spaces all arise in the following way. Let F be a reflexive Banach space and set E — Y © Y*. Define the linear symplectic form fiyby Qy[(^. y% (z>z*)] = z*(y) ~y*(z)- We define two symplectic spaces (£,, ß,) and (E2, ß2) to be equivalent if there is an isomorphism A : Ex -» E2 such that Q2(Ax, Ay) = ß,(x, y). A. Weinstein [10] has asked the question whether every symplectic Banach space is equivalent to one of the form (Y © Y*, üy). -
Properties of Bilinear Forms on Hilbert Spaces Related to Stability Properties of Certain Partial Differential Operators
JOURNAL OF hlATHEhlATICAL ANALYSIS AND APPLICATIONS 20, 124-144 (1967) Properties of Bilinear Forms on Hilbert Spaces Related to Stability Properties of Certain Partial Differential Operators N. SAUER National Research Institute for Mathematical Sciences, Pretoria, South Africa Submitted by P. Lax INTRODUCTION The continuous dependence of solutions of positive definite, self-adjoint partial differential equations on the domain was investigated by Babugka [I], [2]. In a recent paper, [3], Babugka and Vjibornjr also studied the continuous dependence of the eigenvalues of strongly-elliptic, self-adjoint partial dif- ferential operators on the domain. It is the aim of this paper to study formalisms in abstract Hilbert space by means of which results on various types of continuous dependences can be obtained. In the case of the positive definite operator it is found that the condition of self-adjointness can be dropped. The properties of operators of this type are studied in part II. In part III the behavior of the eigenvalues of a self- adjoint elliptic operator under various “small changes” is studied. In part IV some applications to partial differential operators and variational theory are sketched. I. BASIC: CONCEPTS AND RESULTS Let H be a complex Hilbert space. We use the symbols X, y, z,... for vectors in H and the symbols a, b, c,... for scalars. The inner product in H is denoted by (~,y) and the norm by I( .v 11 = (x, x)llz. Weak and strong convergence of a sequence (x~} to an element x0 E H are denoted by x’, - x0 and x’, + x,, , respectively. A functional f on H is called: (i) continuous if it is continuous in the strong topology on H, (ii) weakly continuous (w.-continuous) if it is continuous in the weak topology on H. -
Synthetic Topology and Constructive Metric Spaces
University of Ljubljana Faculty of Mathematics and Physics Department of Mathematics Davorin Leˇsnik Synthetic Topology and Constructive Metric Spaces Doctoral thesis Advisor: izr. prof. dr. Andrej Bauer arXiv:2104.10399v1 [math.GN] 21 Apr 2021 Ljubljana, 2010 Univerza v Ljubljani Fakulteta za matematiko in fiziko Oddelek za matematiko Davorin Leˇsnik Sintetiˇcna topologija in konstruktivni metriˇcni prostori Doktorska disertacija Mentor: izr. prof. dr. Andrej Bauer Ljubljana, 2010 Abstract The thesis presents the subject of synthetic topology, especially with relation to metric spaces. A model of synthetic topology is a categorical model in which objects possess an intrinsic topology in a suitable sense, and all morphisms are continuous with regard to it. We redefine synthetic topology in order to incorporate closed sets, and several generalizations are made. Real numbers are reconstructed (to suit the new background) as open Dedekind cuts. An extensive theory is developed when metric and intrinsic topology match. In the end the results are examined in four specific models. Math. Subj. Class. (MSC 2010): 03F60, 18C50 Keywords: synthetic, topology, metric spaces, real numbers, constructive Povzetek Disertacija predstavi podroˇcje sintetiˇcne topologije, zlasti njeno povezavo z metriˇcnimi prostori. Model sintetiˇcne topologije je kategoriˇcni model, v katerem objekti posedujejo intrinziˇcno topologijo v ustreznem smislu, glede na katero so vsi morfizmi zvezni. Definicije in izreki sintetiˇcne topologije so posploˇseni, med drugim tako, da vkljuˇcujejo zaprte mnoˇzice. Realna ˇstevila so (zaradi sin- tetiˇcnega ozadja) rekonstruirana kot odprti Dedekindovi rezi. Obˇsirna teorija je razvita, kdaj se metriˇcna in intrinziˇcna topologija ujemata. Na koncu prouˇcimo dobljene rezultate v ˇstirih izbranih modelih. Math. Subj. Class. (MSC 2010): 03F60, 18C50 Kljuˇcne besede: sintetiˇcen, topologija, metriˇcni prostori, realna ˇstevila, konstruktiven 8 Contents Introduction 11 0.1 Acknowledgements ................................. -
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. -
University of Cape Town Department of Mathematics and Applied Mathematics Faculty of Science
The copyright of this thesis vests in the author. No quotation from it or information derived from it is to be published without full acknowledgementTown of the source. The thesis is to be used for private study or non- commercial research purposes only. Cape Published by the University ofof Cape Town (UCT) in terms of the non-exclusive license granted to UCT by the author. University University of Cape Town Department of Mathematics and Applied Mathematics Faculty of Science Convexity in quasi-metricTown spaces Cape ofby Olivier Olela Otafudu May 2012 University A thesis presented for the degree of Doctor of Philosophy prepared under the supervision of Professor Hans-Peter Albert KÄunzi. Abstract Over the last ¯fty years much progress has been made in the investigation of the hyperconvex hull of a metric space. In particular, Dress, Espinola, Isbell, Jawhari, Khamsi, Kirk, Misane, Pouzet published several articles concerning hyperconvex metric spaces. The principal aim of this thesis is to investigateTown the existence of an injective hull in the categories of T0-quasi-metric spaces and of T0-ultra-quasi- metric spaces with nonexpansive maps. Here several results obtained by others for the hyperconvex hull of a metric space haveCape been generalized by us in the case of quasi-metric spaces. In particular we haveof obtained some original results for the q-hyperconvex hull of a T0-quasi-metric space; for instance the q-hyperconvex hull of any totally bounded T0-quasi-metric space is joincompact. Also a construction of the ultra-quasi-metrically injective (= u-injective) hull of a T0-ultra-quasi- metric space is provided. -
Basic Functional Analysis Master 1 UPMC MM005
Basic Functional Analysis Master 1 UPMC MM005 Jean-Fran¸coisBabadjian, Didier Smets and Franck Sueur October 18, 2011 2 Contents 1 Topology 5 1.1 Basic definitions . 5 1.1.1 General topology . 5 1.1.2 Metric spaces . 6 1.2 Completeness . 7 1.2.1 Definition . 7 1.2.2 Banach fixed point theorem for contraction mapping . 7 1.2.3 Baire's theorem . 7 1.2.4 Extension of uniformly continuous functions . 8 1.2.5 Banach spaces and algebra . 8 1.3 Compactness . 11 1.4 Separability . 12 2 Spaces of continuous functions 13 2.1 Basic definitions . 13 2.2 Completeness . 13 2.3 Compactness . 14 2.4 Separability . 15 3 Measure theory and Lebesgue integration 19 3.1 Measurable spaces and measurable functions . 19 3.2 Positive measures . 20 3.3 Definition and properties of the Lebesgue integral . 21 3.3.1 Lebesgue integral of non negative measurable functions . 21 3.3.2 Lebesgue integral of real valued measurable functions . 23 3.4 Modes of convergence . 25 3.4.1 Definitions and relationships . 25 3.4.2 Equi-integrability . 27 3.5 Positive Radon measures . 29 3.6 Construction of the Lebesgue measure . 34 4 Lebesgue spaces 39 4.1 First definitions and properties . 39 4.2 Completeness . 41 4.3 Density and separability . 42 4.4 Convolution . 42 4.4.1 Definition and Young's inequality . 43 4.4.2 Mollifier . 44 4.5 A compactness result . 45 5 Continuous linear maps 47 5.1 Space of continuous linear maps . 47 5.2 Uniform boundedness principle{Banach-Steinhaus theorem . -
Math 611 Homework 7
Math 611 Homework 7 Paul Hacking November 14, 2013 Reading: Dummit and Foote, 12.2{12.3 (rational canonical form and Jor- dan normal form), 11.1{11.3 (review of vector spaces including dual space). Unfortunately the material on bilinear forms is not covered in Dummit and Foote. I recommend Artin, Algebra, Chapter 7 (1st ed.) / Chapter 8 (2nd ed.). All vector spaces are assumed finite dimensional. (1) Classify matrices A 2 GL4(Q) of orders 4 and 5 up to conjugacy A P AP −1. (2) Let J(n; λ) denote the n × n matrix 0λ 0 0 ··· 0 01 B1 λ 0 ··· 0 0C B C B0 1 λ ··· 0 0C B C B . C B . C B C @0 0 0 ··· λ 0A 0 0 0 ··· 1 λ We call J(n; λ) the Jordan block of size n with eigenvalue λ. (Note: In DF they use the transpose of the above matrix. This corresponds to a change of basis given by reversing the order of the basis.) Show that λ is the unique eigenvalue of J(n; λ) and dim ker(J(n; λ) − λI)k = min(k; n): (3) Let V be a vector space and T : V ! V be a linear transformation from V to itself. What is the Jordan normal form of T ? Suppose that 1 the eigenvalues of T are λi, i = 1; : : : ; r, and the sizes of the Jordan blocks with eigenvalue λi are mi1 ≤ mi2 ≤ ::: ≤ misi . (a) What is the characteristic polynomial of T ? What is the minimal polynomial of T ? k (b) Let dik = dim ker(T − λi idV ) . -
The Range of Ultrametrics, Compactness, and Separability
The range of ultrametrics, compactness, and separability Oleksiy Dovgosheya,∗, Volodymir Shcherbakb aDepartment of Theory of Functions, Institute of Applied Mathematics and Mechanics of NASU, Dobrovolskogo str. 1, Slovyansk 84100, Ukraine bDepartment of Applied Mechanics, Institute of Applied Mathematics and Mechanics of NASU, Dobrovolskogo str. 1, Slovyansk 84100, Ukraine Abstract We describe the order type of range sets of compact ultrametrics and show that an ultrametrizable infinite topological space (X, τ) is compact iff the range sets are order isomorphic for any two ultrametrics compatible with the topology τ. It is also shown that an ultrametrizable topology is separable iff every compatible with this topology ultrametric has at most countable range set. Keywords: totally bounded ultrametric space, order type of range set of ultrametric, compact ultrametric space, separable ultrametric space 2020 MSC: Primary 54E35, Secondary 54E45 1. Introduction In what follows we write R+ for the set of all nonnegative real numbers, Q for the set of all rational number, and N for the set of all strictly positive integer numbers. Definition 1.1. A metric on a set X is a function d: X × X → R+ satisfying the following conditions for all x, y, z ∈ X: (i) (d(x, y)=0) ⇔ (x = y); (ii) d(x, y)= d(y, x); (iii) d(x, y) ≤ d(x, z)+ d(z,y) . + + A metric space is a pair (X, d) of a set X and a metric d: X × X → R . A metric d: X × X → R is an ultrametric on X if we have d(x, y) ≤ max{d(x, z), d(z,y)} (1.1) for all x, y, z ∈ X. -
Contents 5 Bilinear and Quadratic Forms
Linear Algebra (part 5): Bilinear and Quadratic Forms (by Evan Dummit, 2020, v. 1.00) Contents 5 Bilinear and Quadratic Forms 1 5.1 Bilinear Forms . 1 5.1.1 Denition, Associated Matrices, Basic Properties . 1 5.1.2 Symmetric Bilinear Forms and Diagonalization . 3 5.2 Quadratic Forms . 5 5.2.1 Denition and Basic Properties . 6 5.2.2 Quadratic Forms Over Rn: Diagonalization of Quadratic Varieties . 7 5.2.3 Quadratic Forms Over Rn: The Second Derivatives Test . 9 5.2.4 Quadratic Forms Over Rn: Sylvester's Law of Inertia . 11 5 Bilinear and Quadratic Forms In this chapter, we will discuss bilinear and quadratic forms. Bilinear forms are simply linear transformations that are linear in more than one variable, and they will allow us to extend our study of linear phenomena. They are closely related to quadratic forms, which are (classically speaking) homogeneous quadratic polynomials in multiple variables. Despite the fact that quadratic forms are not linear, we can (perhaps surprisingly) still use many of the tools of linear algebra to study them. 5.1 Bilinear Forms • We begin by discussing basic properties of bilinear forms on an arbitrary vector space. 5.1.1 Denition, Associated Matrices, Basic Properties • Let V be a vector space over the eld F . • Denition: A function Φ: V × V ! F is a bilinear form on V if it is linear in each variable when the other variable is xed. Explicitly, this means Φ(v1 + αv2; y) = Φ(v1; w) + αΦ(v2; w) and Φ(v; w1 + αw2) = Φ(v; w1) + αΦ(v; w2) for arbitrary vi; wi 2 V and α 2 F .