4 the Weak-* Topology and the Banach-Alaoglu Theorem

Total Page:16

File Type:pdf, Size:1020Kb

4 the Weak-* Topology and the Banach-Alaoglu Theorem 4 The weak-* topology and the Banach-Alaoglu Theorem 4.1 The weak-* topology Let E be a normed space over F. We know that E∗ is then a Banach space with its usual norm. However, sometimes the norm topology is too strong for our purposes, and we need to use a different topology, the weak-* topology . In particular, we will need the subspace topology induced by weak-* topology when we look at the Gelfand theory of commutative Banach algebras. 86 The weak-* topology on E∗ is an example of a topology on a vector space induced by a family of seminorms. Another example of this is the weak topology on E. (See books for more details.) Recall that FE is the set of all functions from E to F, and that this may be regarded as an infinite product of copies of F (assuming E =6 {0}). We may give this product the usual product topology. Note that E∗ is a subset of FE. 87 Definition 4.1 With notation as above, the weak-* topology on E∗ is the subspace topology on E∗ induced by the product topology on FE. It is the weakest topology on E∗ such that all of the functions f 7→ f(x) are continuous from E∗ to F (x ∈ E). This topology is denoted by σ(E∗, E ). Similarly, the weak topology on E, denoted by σ(E, E ∗), is the weakest topology on E such that all the functions x 7→ f(x) ( f ∈ E∗) are continuous, i.e., all the functionals in E∗ are continuous. 88 Remarks. (1) The algebraic dual E× is a closed subset of FE, but the topological dual E∗ need not be. (2) The closed unit ball of E∗ is a closed subset of FE. (3) Recall that the natural (or standard) embedding of E in its bidual E∗∗ is denoted by x 7→ xˆ. The image of E under this embedding is denoted b by E. We may give E∗∗ = ( E∗)∗ the weak-* topology σ(E∗∗ , E ∗) (as the dual space of E∗), and can b then give E the subspace topology, which we b call the relative weak-* topology on E. The standard embedding is then a ∗ b homeomorphism from (E, σ (E, E )) to E with the relative weak-* topology. 89 b (4) With notation as above, E is weak-* dense in E∗∗ . Also, the image of the closed unit ball of E is weak-* dense in the closed unit ball of E∗∗ . See books for the details, which are based on the sublinear functional version of the Hahn-Banach Theorem. 4.2 The Banach-Alaoglu Theorem We saw earlier that the closed unit ball of an infinite-dimensional normed space is never compact with the norm topology. However it may happen that this ball is compact with respect to one of our other topologies. 90 We begin with a lemma concerning compact subsets of FE where E is any non-empty set. This lemma may be regarded as a generalization of the Heine-Borel Theorem, and is based on Tychonoff’s Theorem. First recall that the coordinate projections on FE E are the maps px : F → F (x ∈ E) defined by E px(f) = f(x) ( f ∈ F ). The product topology on FE is the weakest topology on FE which makes all of the coordinate projections px continuous. We say that a subset S of FE is pointwise bounded if, for all x ∈ E, px(S) is a bounded subset of F. The bound may depend on x. 91 Lemma 4.2 With notation as above, a subset of FE is compact if and only if it is both closed in FE and pointwise bounded. We are now ready to prove the Banach-Alaoglu Theorem. Theorem 4.3 (Banach-Alaoglu) Let E be a normed space. Then the closed unit ball of E∗ is weak-* compact. The situation for the weak topology is rather different, as we see in the last result of this section. Theorem 4.4 Let E be a normed space. Then the closed unit ball of E is weakly compact if and only if E is a reflexive Banach space. 92.
Recommended publications
  • On Quasi Norm Attaining Operators Between Banach Spaces
    ON QUASI NORM ATTAINING OPERATORS BETWEEN BANACH SPACES GEUNSU CHOI, YUN SUNG CHOI, MINGU JUNG, AND MIGUEL MART´IN Abstract. We provide a characterization of the Radon-Nikod´ymproperty in terms of the denseness of bounded linear operators which attain their norm in a weak sense, which complement the one given by Bourgain and Huff in the 1970's. To this end, we introduce the following notion: an operator T : X ÝÑ Y between the Banach spaces X and Y is quasi norm attaining if there is a sequence pxnq of norm one elements in X such that pT xnq converges to some u P Y with }u}“}T }. Norm attaining operators in the usual (or strong) sense (i.e. operators for which there is a point in the unit ball where the norm of its image equals the norm of the operator) and also compact operators satisfy this definition. We prove that strong Radon-Nikod´ymoperators can be approximated by quasi norm attaining operators, a result which does not hold for norm attaining operators in the strong sense. This shows that this new notion of quasi norm attainment allows to characterize the Radon-Nikod´ymproperty in terms of denseness of quasi norm attaining operators for both domain and range spaces, completing thus a characterization by Bourgain and Huff in terms of norm attaining operators which is only valid for domain spaces and it is actually false for range spaces (due to a celebrated example by Gowers of 1990). A number of other related results are also included in the paper: we give some positive results on the denseness of norm attaining Lipschitz maps, norm attaining multilinear maps and norm attaining polynomials, characterize both finite dimensionality and reflexivity in terms of quasi norm attaining operators, discuss conditions to obtain that quasi norm attaining operators are actually norm attaining, study the relationship with the norm attainment of the adjoint operator and, finally, present some stability results.
    [Show full text]
  • Uniform Boundedness Principle for Unbounded Operators
    UNIFORM BOUNDEDNESS PRINCIPLE FOR UNBOUNDED OPERATORS C. GANESA MOORTHY and CT. RAMASAMY Abstract. A uniform boundedness principle for unbounded operators is derived. A particular case is: Suppose fTigi2I is a family of linear mappings of a Banach space X into a normed space Y such that fTix : i 2 Ig is bounded for each x 2 X; then there exists a dense subset A of the open unit ball in X such that fTix : i 2 I; x 2 Ag is bounded. A closed graph theorem and a bounded inverse theorem are obtained for families of linear mappings as consequences of this principle. Some applications of this principle are also obtained. 1. Introduction There are many forms for uniform boundedness principle. There is no known evidence for this principle for unbounded operators which generalizes classical uniform boundedness principle for bounded operators. The second section presents a uniform boundedness principle for unbounded operators. An application to derive Hellinger-Toeplitz theorem is also obtained in this section. A JJ J I II closed graph theorem and a bounded inverse theorem are obtained for families of linear mappings in the third section as consequences of this principle. Go back Let us assume the following: Every vector space X is over R or C. An α-seminorm (0 < α ≤ 1) is a mapping p: X ! [0; 1) such that p(x + y) ≤ p(x) + p(y), p(ax) ≤ jajαp(x) for all x; y 2 X Full Screen Close Received November 7, 2013. 2010 Mathematics Subject Classification. Primary 46A32, 47L60. Key words and phrases.
    [Show full text]
  • Weak Topologies
    Weak topologies David Lecomte May 23, 2006 1 Preliminaries from general topology In this section, we are given a set X, a collection of topological spaces (Yi)i∈I and a collection of maps (fi)i∈I such that each fi maps X into Yi. We wish to define a topology on X that makes all the fi’s continuous. And we want to do this in the cheapest way, that is: there should be no more open sets in X than required for this purpose. −1 Obviously, all the fi (Oi), where Oi is an open set in Yi should be open in X. Then finite intersections of those should also be open. And then any union of finite intersections should be open. By this process, we have created as few open sets as required. Yet it is not clear that the collection obtained is closed under finite intersections. It actually is, as a consequence of the following lemma: Lemma 1 Let X be a set and let O ⊂ P(X) be a collection of subsets of X, such that • ∅ and X are in O; • O is closed under finite intersections. Then T = { O | O ⊂ O} is a topology on X. OS∈O Proof: By definition, T contains X and ∅ since those were already in O. Furthermore, T is closed under unions, again by definition. So all that’s left is to check that T is closed under finite intersections. Let A1 and A2 be two elements of T . Then there exist O1 and O2, subsets of O, such that A = O and A = O 1 [ 2 [ O∈O1 O∈O2 1 It is then easy to check by double inclusion that A ∩ A = O ∩ O 1 2 [ 1 2 O1∈O1 O2∈O2 Letting O denote the collection {O1 ∩ O2 | O1 ∈ O1 O2 ∈ O2}, which is a subset of O since the latter is closed under finite intersections, we get A ∩ A = O 1 2 [ O∈O This set belongs to T .
    [Show full text]
  • Distinguished Property in Tensor Products and Weak* Dual Spaces
    axioms Article Distinguished Property in Tensor Products and Weak* Dual Spaces Salvador López-Alfonso 1 , Manuel López-Pellicer 2,* and Santiago Moll-López 3 1 Department of Architectural Constructions, Universitat Politècnica de València, 46022 Valencia, Spain; [email protected] 2 Emeritus and IUMPA, Universitat Politècnica de València, 46022 Valencia, Spain 3 Department of Applied Mathematics, Universitat Politècnica de València, 46022 Valencia, Spain; [email protected] * Correspondence: [email protected] 0 Abstract: A local convex space E is said to be distinguished if its strong dual Eb has the topology 0 0 0 0 b(E , (Eb) ), i.e., if Eb is barrelled. The distinguished property of the local convex space Cp(X) of real- valued functions on a Tychonoff space X, equipped with the pointwise topology on X, has recently aroused great interest among analysts and Cp-theorists, obtaining very interesting properties and nice characterizations. For instance, it has recently been obtained that a space Cp(X) is distinguished if and only if any function f 2 RX belongs to the pointwise closure of a pointwise bounded set in C(X). The extensively studied distinguished properties in the injective tensor products Cp(X) ⊗# E and in Cp(X, E) contrasts with the few distinguished properties of injective tensor products related to the dual space Lp(X) of Cp(X) endowed with the weak* topology, as well as to the weak* dual of Cp(X, E). To partially fill this gap, some distinguished properties in the injective tensor product space Lp(X) ⊗# E are presented and a characterization of the distinguished property of the weak* dual of Cp(X, E) for wide classes of spaces X and E is provided.
    [Show full text]
  • Functional Analysis Lecture Notes Chapter 3. Banach
    FUNCTIONAL ANALYSIS LECTURE NOTES CHAPTER 3. BANACH SPACES CHRISTOPHER HEIL 1. Elementary Properties and Examples Notation 1.1. Throughout, F will denote either the real line R or the complex plane C. All vector spaces are assumed to be over the field F. Definition 1.2. Let X be a vector space over the field F. Then a semi-norm on X is a function k · k: X ! R such that (a) kxk ≥ 0 for all x 2 X, (b) kαxk = jαj kxk for all x 2 X and α 2 F, (c) Triangle Inequality: kx + yk ≤ kxk + kyk for all x, y 2 X. A norm on X is a semi-norm which also satisfies: (d) kxk = 0 =) x = 0. A vector space X together with a norm k · k is called a normed linear space, a normed vector space, or simply a normed space. Definition 1.3. Let I be a finite or countable index set (for example, I = f1; : : : ; Ng if finite, or I = N or Z if infinite). Let w : I ! [0; 1). Given a sequence of scalars x = (xi)i2I , set 1=p jx jp w(i)p ; 0 < p < 1; 8 i kxkp;w = > Xi2I <> sup jxij w(i); p = 1; i2I > where these quantities could be infinite.:> Then we set p `w(I) = x = (xi)i2I : kxkp < 1 : n o p p p We call `w(I) a weighted ` space, and often denote it just by `w (especially if I = N). If p p w(i) = 1 for all i, then we simply call this space ` (I) or ` and write k · kp instead of k · kp;w.
    [Show full text]
  • The Nonstandard Theory of Topological Vector Spaces
    TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 172, October 1972 THE NONSTANDARDTHEORY OF TOPOLOGICAL VECTOR SPACES BY C. WARD HENSON AND L. C. MOORE, JR. ABSTRACT. In this paper the nonstandard theory of topological vector spaces is developed, with three main objectives: (1) creation of the basic nonstandard concepts and tools; (2) use of these tools to give nonstandard treatments of some major standard theorems ; (3) construction of the nonstandard hull of an arbitrary topological vector space, and the beginning of the study of the class of spaces which tesults. Introduction. Let Ml be a set theoretical structure and let *JR be an enlarge- ment of M. Let (E, 0) be a topological vector space in M. §§1 and 2 of this paper are devoted to the elementary nonstandard theory of (F, 0). In particular, in §1 the concept of 0-finiteness for elements of *E is introduced and the nonstandard hull of (E, 0) (relative to *3R) is defined. §2 introduces the concept of 0-bounded- ness for elements of *E. In §5 the elementary nonstandard theory of locally convex spaces is developed by investigating the mapping in *JK which corresponds to a given pairing. In §§6 and 7 we make use of this theory by providing nonstandard treatments of two aspects of the existing standard theory. In §6, Luxemburg's characterization of the pre-nearstandard elements of *E for a normed space (E, p) is extended to Hausdorff locally convex spaces (E, 8). This characterization is used to prove the theorem of Grothendieck which gives a criterion for the completeness of a Hausdorff locally convex space.
    [Show full text]
  • Eberlein-Šmulian Theorem and Some of Its Applications
    Eberlein-Šmulian theorem and some of its applications Kristina Qarri Supervisors Trond Abrahamsen Associate professor, PhD University of Agder Norway Olav Nygaard Professor, PhD University of Agder Norway This master’s thesis is carried out as a part of the education at the University of Agder and is therefore approved as a part of this education. However, this does not imply that the University answers for the methods that are used or the conclusions that are drawn. University of Agder, 2014 Faculty of Engineering and Science Department of Mathematics Contents Abstract 1 1 Introduction 2 1.1 Notation and terminology . 4 1.2 Cornerstones in Functional Analysis . 4 2 Basics of weak and weak* topologies 6 2.1 The weak topology . 7 2.2 Weak* topology . 16 3 Schauder Basis Theory 21 3.1 First Properties . 21 3.2 Constructing basic sequences . 37 4 Proof of the Eberlein Šmulian theorem due to Whitley 50 5 The weak topology and the topology of pointwise convergence on C(K) 58 6 A generalization of the Ebrlein-Šmulian theorem 64 7 Some applications to Tauberian operator theory 69 Summary 73 i Abstract The thesis is about Eberlein-Šmulian and some its applications. The goal is to investigate and explain different proofs of the Eberlein-Šmulian theorem. First we introduce the general theory of weak and weak* topology defined on a normed space X. Next we present the definition of a basis and a Schauder basis of a given Banach space. We give some examples and prove the main theorems which are needed to enjoy the proof of the Eberlein-Šmulian theorem given by Pelchynski in 1964.
    [Show full text]
  • Let H Be a Hilbert Space. on B(H), There Is a Whole Zoo of Topologies
    Let H be a Hilbert space. On B(H), there is a whole zoo of topologies weaker than the norm topology – and all of them are considered when it comes to von Neumann algebras. It is, however, a good idea to concentrate on one of them right from the definition. My choice – and Murphy’s [Mur90, Chapter 4] – is the strong (or strong operator=STOP) topology: Definition. A von Neumann algebra is a ∗–subalgebra A ⊂ B(H) of operators acting nonde- generately(!) on a Hilbert space H that is strongly closed in B(H). (Every norm convergent sequence converges strongly, so A is a C∗–algebra.) This does not mean that one has not to know the other topologies; on the contrary, one has to know them very well, too. But it does mean that proof techniques are focused on the strong topology; if we use a different topology to prove something, then we do this only if there is a specific reason for doing so. One reason why it is not sufficient to worry only about the strong topology, is that the strong topology (unlike the norm topology of a C∗–algebra) is not determined by the algebraic structure alone: There are “good” algebraic isomorphisms between von Neumann algebras that do not respect their strong topologies. A striking feature of the strong topology on B(H) is that B(H) is order complete: Theorem (Vigier). If aλ λ2Λ is an increasing self-adjoint net in B(H) and bounded above (9c 2 B(H): aλ ≤ c8λ), then aλ converges strongly in B(H), obviously to its least upper bound in B(H).
    [Show full text]
  • Chapter 14. Duality for Normed Linear Spaces
    14.1. Linear Functionals, Bounded Linear Functionals, and Weak Topologies 1 Chapter 14. Duality for Normed Linear Spaces Note. In Section 8.1, we defined a linear functional on a normed linear space, a bounded linear functional, and the functional norm. In Proposition 8.1 (the proof is Exercise 8.2) it is shown that the collection of bounded linear functionals themselves form a normed linear space called the dual space of X, denoted X∗. In Chapters 14 and 15 we consider the mapping from X × X∗ → R defined by (x, ψ) 7→ ψ(x) to “uncover the analytic, geometric, and topological properties of Banach spaces.” The “departure point for this exploration” is the Hahn-Banach Theorem which is started and proved in Section 14.2 (Royden and Fitzpatrick, page 271). Section 14.1. Linear Functionals, Bounded Linear Functionals, and Weak Topologies Note. In this section we consider the linear space of all real valued linear function- als on linear space X (without requiring X to be named or the functionals to be bounded), denoted X]. We also consider a new topology on a normed linear space called the weak topology (the old topology which was induced by the norm we now may call the strong topology). For the deal X∗ of normed linear space X, the weak topology is called the weak-∗ topology. 14.1. Linear Functionals, Bounded Linear Functionals, and Weak Topologies 2 Note. Recall that if Y and Z are subspaces of a linear space then Y + Z is also a subspace of X (by Exercise 13.2) and that if Y ∩ Z = {0} then Y + Z is denoted T ⊕ Z and is called the direct sum of Y and Z.
    [Show full text]
  • Arxiv:2003.03538V1 [Math.FA] 7 Mar 2020 Ooois Otniy Discontinuity
    CONTINUITY AND DISCONTINUITY OF SEMINORMS ON INFINITE-DIMENSIONAL VECTOR SPACES. II JACEK CHMIELINSKI´ Department of Mathematics, Pedagogical University of Krak´ow Krak´ow, Poland E-mail: [email protected] MOSHE GOLDBERG1 Department of Mathematics, Technion – Israel Institute of Technology Haifa, Israel E-mail: [email protected] Abstract. In this paper we extend our findings in [3] and answer further questions regard- ing continuity and discontinuity of seminorms on infinite-dimensional vector spaces. Throughout this paper let X be a vector space over a field F, either R or C. As usual, a real-valued function N : X → R is a norm on X if for all x, y ∈ X and α ∈ F, N(x) > 0, x =06 , N(αx)= |α|N(x), N(x + y) ≤ N(x)+ N(y). Furthermore, a real-valued function S : X → R is called a seminorm if for all x, y ∈ X and α ∈ F, arXiv:2003.03538v1 [math.FA] 7 Mar 2020 S(x) ≥ 0, S(αx)= |α|S(x), S(x + y) ≤ S(x)+ S(y); hence, a norm is a positive-definite seminorm. Using standard terminology, we say that a seminorm S is proper if S does not vanish identically and S(x) = 0 for some x =6 0 or, in other words, if ker S := {x ∈ X : S(x)=0}, is a nontrivial proper subspace of X. 2010 Mathematics Subject Classification. 15A03, 47A30, 54A10, 54C05. Key words and phrases. infinite-dimensional vector spaces, Banach spaces, seminorms, norms, norm- topologies, continuity, discontinuity. 1Corresponding author. 1 2 JACEK CHMIELINSKI´ AND MOSHE GOLDBERG Lastly, just as for norms, we say that seminorms S1 and S2 are equivalent on X, if there exist positive constants β ≤ γ such that for all x ∈ X, βS1(x) ≤ S2(x) ≤ γS1(x).
    [Show full text]
  • 1 the Principal of Uniform Boundedness
    THE PRINCIPLE OF UNIFORM BOUNDEDNESS 1 The Principal of Uniform Boundedness Many of the most important theorems in analysis assert that pointwise hy- potheses imply uniform conclusions. Perhaps the simplest example is the theorem that a continuous function on a compact set is uniformly contin- uous. The main theorem in this section concerns a family of bounded lin- ear operators, and asserts that the family is uniformly bounded (and hence equicontinuous) if it is pointwise bounded. We begin by defining these terms precisely. Definition 1.1 Let A be a family of linear operators from a normed space X to a normed space Y . We say that A is pointwise bounded if supA2AfkAxkg < 1 for every x 2 X. We say A is uniformly bounded if supA2AfkAkg < 1. It is possible for a single linear operator to be pointwise bounded without being bounded (Exercise), so the hypothesis in the next theorem that each individual operator is bounded is essential. Theorem 1.2 (The Principle of Uniform Boundedness) Let A ⊆ L(X; Y ) be a family of bounded linear operators from a Banach space X to a normed space Y . Then A is uniformly bounded if and only if it is pointwise bounded. Proof We will assume that A is pointwise bounded but not uniformly bounded, and obtain a contradiction. For each x 2 X, define M(x) := supA2AfkAxkg; our assumption is that M(x) < 1 for every x. Observe that if A is not uniformly bounded, then for any pair of positive numbers and C there must exist some A 2 A with kAk > C/, and hence some x 2 X with kxk = but kAxk > C.
    [Show full text]
  • The Banach-Alaoglu Theorem for Topological Vector Spaces
    The Banach-Alaoglu theorem for topological vector spaces Christiaan van den Brink a thesis submitted to the Department of Mathematics at Utrecht University in partial fulfillment of the requirements for the degree of Bachelor in Mathematics Supervisor: Fabian Ziltener date of submission 06-06-2019 Abstract In this thesis we generalize the Banach-Alaoglu theorem to topological vector spaces. the theorem then states that the polar, which lies in the dual space, of a neighbourhood around zero is weak* compact. We give motivation for the non-triviality of this theorem in this more general case. Later on, we show that the polar is sequentially compact if the space is separable. If our space is normed, then we show that the polar of the unit ball is the closed unit ball in the dual space. Finally, we introduce the notion of nets and we use these to prove the main theorem. i ii Acknowledgments A huge thanks goes out to my supervisor Fabian Ziltener for guiding me through the process of writing a bachelor thesis. I would also like to thank my girlfriend, family and my pet who have supported me all the way. iii iv Contents 1 Introduction 1 1.1 Motivation and main result . .1 1.2 Remarks and related works . .2 1.3 Organization of this thesis . .2 2 Introduction to Topological vector spaces 4 2.1 Topological vector spaces . .4 2.1.1 Definition of topological vector space . .4 2.1.2 The topology of a TVS . .6 2.2 Dual spaces . .9 2.2.1 Continuous functionals .
    [Show full text]