Topological Results About the Set of Generalized Rhaly Matrices 1

Total Page:16

File Type:pdf, Size:1020Kb

Topological Results About the Set of Generalized Rhaly Matrices 1 Gen. Math. Notes, Vol. 17, No. 1, July 2013, pp. 1-7 ISSN 2219-7184; Copyright c ICSRS Publication, 2013 www.i-csrs.org Available free online at http://www.geman.in Topological Results About the Set of Generalized Rhaly Matrices Nuh Durna1 and Mustafa Yildirim2 1;2 Cumhuriyet University, Faculty of Sciences Department of Mathematics, 58140 Sivas, Turkey 1 E-mail: [email protected] 2 E-mail: [email protected]; [email protected] (Received: 1-2-12 / Accepted: 15-5-13) Abstract In this paper, we will investigate some topological properties of Rb set of all bounded generalized Rhally matrices given by b sequences in H2. We will show 2 that Rb is closed subspace of B (H ) and we will define an operator from T to Rb and show that this operator is injective and continuous in strong-operator topology. Keywords: Generalized Rhaly operators, weak-operator topology, strong- operator topology. 1 Introduction A Hilbert space has two useful topologies (weak and strong); the space of operators on a Hilbert space has several. The metric topology induced by the norm is one of them; to distinguish it from the others, it is usually called the norm topology or the uniform topology. The next two are natural outgrowths for operators of the strong and weak topologies for vectors. A subbase for the strong operator topology is the collection of all sets of the form fA : k(A − A0) fk < g ; correspondingly a base is the collection of all sets of the form fA : k(A − A0) fik < , i = 1; 2; : : : ; kg 2 Nuh Durna et al. Here k is a positive integer, f1; f2; : : : ; fk are vectors, and is a positive number. A subbase for the weak operator topology is the collection of all sets of the form fA : jh(A − A0) f; gij < g ; where f and g are vectors and > 0; as above (as always) a base is the collection of all finite intersections of such sets. The corresponding concepts of convergence (for sequences and nets) are easy to describe: An ! A strongly if and only if Anf ! Af strongly for each f (i.e., k(An − A) fk ! 0 for each f), and An ! A weakly if and only if Anf ! Af weakly for each f (i.e., hAnf; gi ! hAf; gi for each f and g). For a slightly different and often very efficient definition of the strong and weak operator topologies (see [3, Problems 224 and 225]). The easiest questions to settle are the ones about comparison. The weak topology is smaller (weaker) than the strong topology, and the strong topology is smaller than the norm topology. In other words, every weak open set is a strong open set, and every strong open set is norm open. In still other words: every weak neighborhood of each operator includes a strong neighborhood of that operator, and every strong neighborhood includes a metric neighborhood. Again: norm convergence implies strong convergence, and strong convergence implies weak convergence. These facts are immediate from the definitions. In the presence of uniformity on the unit sphere, the implications are reversible (see [3]). Let H (D) denotes the space of complex valued analytic function on the unit disk D, for 1 ≤ p < 1, Hp denotes the standard Hardy space on D. Integral operators have been studied of the greater part of the last century. In [5], Scott W. Young gave definition of generalized Ces`aromatrix as follows: Definition 1.1 Let g be analytic on the unit disk. The generalized Ces`aro operator on H2 with symbol g z 1 Z C (f)(z) = f (t) g (t) dt (1) g z 0 In [4], Pommerenke defined the following operator on H2 : z Z 0 IG (f) = f (t) G (t) dt: 0 He showed the following lemma: Topological Results About the Set... 3 2 Lemma 1.2 ([4, Lemma 1]) IG is bounded on H iff G 2 BMOA. Mor- ever, there is a constant K1 such that kIGkop ≤ K1 kGk∗. z R If G (z) = g (w) dw; then Pommerenke [4] showed that Cg is bounded 0 on the Hilbert space H2 if and only if G 2 BMOA: Aleman and Siskakis [1] extended Pommerenke's result to the Hardy spaces Hp for all p, 1 ≤ p < 1; p and show that Cg is compact on H if and only if G 2 V MOA. In [2], the authors defined generalized Rhaly matrix by using the general- ized Ces`aromatrix as following: 1 P k Definition 1.3 Let fbng be a scalar sequence and g (z) = akz 2 H (D). k=0 The matrix 0 1 a0b0 B C B C B a1b1 a0b1 C B C B C g B C R = B a2b2 a1b2 a0b2 C (2) b B C B C B C B a b a b a b a b C B 3 3 2 3 1 3 0 3 C B C @ . A . .. is called generalized Rhaly matrix with symbol g on H2. From (2), we can write 8 an−jbn ; n ≥ j g < (Rb )nj = . (3) : 0 ; n < j g The relation Rb = DbCg is valid similar to on Rhaly matrix, where Db = 1 1 diag f(n + 1) bngn=0. We recall that Cg = C1 for g (z) = 1−z : Since g (z) = 1 P k z , which fixes then an = 1 for all n 2 N. Thus, from (2) we get k=0 0 1 b0 B b1 b1 C g B C R = B b2 b2 b2 C = R . b B C b B b3 b3 b3 b3 C @ . A . .. 4 Nuh Durna et al. g On the other hand R1=(n+1) = Cg. Therefore this definition could be regarded as a two-way generalizing both for Rhaly and Ces`arooperator. We define the following set B: Z z B := g : D ! C : g (t) dt 2 BMOA : 0 The authors gave for bounded of generalized Rhally matrices as follows: Lemma 1.4 ([2, Lemma 3.1]) If g 2 B and f(n + 1) bng is bounded se- g quence, then Rb is bounded. For this paper, we make the convention that whenever β or βj is notated, β 1=(1−βz) it is assumed that jβj = jβjj = 1. Furthermore, Rb = Rb . The authors gave for unitarily equivalent of generalized Rhally matrices as follows: gβ Lemma 1.5 ([2, Theorem 5]) If gβ (z) = g (βz) with jβj = 1, then Rb g gβ ∼ g is unitarily equivalent to Rb . We denote this by Rb = Rb . 2 Topological Results of Generalized Rhaly Ma- trices In this part, we will investigate some topological properties of Rb set of all bounded generalized Rhally matrices given by b sequences in H2. From Lemma 1.4, Rb is g Rb = fRb : g 2 Bg where f(n + 1) bng is bounded sequence. We will show that Rb is closed sub- space of B (H2) and we will define an operator from T := fz : kzk = 1g to Rb and show that this operator is injective and continuous in strong-operator topology. Definition 2.1 The weak-operator topology, or WOT, on B (H) is the lo- cally convex topology generated by the seminorms, Tx;y = jhT x; yij for x; y 2 H and T 2 B (H). WOT Equivalently, if fTαg is a net of operators in B (H); then, Tα ! T iff hTαx; yi ! hT x; yi for each x; y 2 H. Definition 2.2 The strong-operator topology, or SOT, on B (H) is the lo- cally convex topology generated by the seminorms, Tx = kT xk for x 2 H and T 2 B (H). Topological Results About the Set... 5 As with WOT-convergence, SOT-convergence can be formulated as follows: SOT if fTαg is a net of operators in B (H); then, Tα ! T iff k(Tα − T ) xk ! 0 for each x 2 H. 2 Theorem 2.3 Rb is a Weak-Operator closed subspace of B (H ). g1 g2 g1 g2 g1+g2 Proof Let Rb ;Rb 2 Rb. Then Rb + Rb = Rb 2 Rb since g1 + g2 2 B for all g1; g2 2 B. We prove that Rb is closed in the weak operator topology. g g WOT Let fRb gα be a net of operators in Rb such that fRb gα ! S. We must h P1 k show that S = Rb for some h 2 B. Let k=0 (ak)α z be the Taylor series for 2 2 g gα. S 2 B (H ) since B (H ) is WOT-closed. Let fRb gα nj be the matrix for g 2 fRb gα in the standart basis for H . g WOT fRb gα ! S. Thus, we get g fRb gα nj ! Snj for each n; j: We know that for any bounded operator on a Hilbert space T , the nj−th 1 entry in a matrix for T in an orthonormal basis fengn=1 is Tnj = hT en; eji. g fRb gα nj = (an−j)α bn if n ≥ j. This implies that Snj = limα (an−j)α bn for g n ≥ j. For n < j, we know that fRb gα nj = 0. Therefore, Snj = 0 for n < j. So S has the form of (3). Define 1 X g n h (z) := c + fRb gα n1 z ; n=1 h where c 2 C. Then S = Rb . By Lemma 1.2, h 2 B . Thus S 2 Rb. The WOT is weaker than the norm topology, thereby giving us that Rb is 2 also norm closed.
Recommended publications
  • A Topology for Operator Modules Over W*-Algebras Bojan Magajna
    Journal of Functional AnalysisFU3203 journal of functional analysis 154, 1741 (1998) article no. FU973203 A Topology for Operator Modules over W*-Algebras Bojan Magajna Department of Mathematics, University of Ljubljana, Jadranska 19, Ljubljana 1000, Slovenia E-mail: Bojan.MagajnaÄuni-lj.si Received July 23, 1996; revised February 11, 1997; accepted August 18, 1997 dedicated to professor ivan vidav in honor of his eightieth birthday Given a von Neumann algebra R on a Hilbert space H, the so-called R-topology is introduced into B(H), which is weaker than the norm and stronger than the COREultrastrong operator topology. A right R-submodule X of B(H) is closed in the Metadata, citation and similar papers at core.ac.uk Provided byR Elsevier-topology - Publisher if and Connector only if for each b #B(H) the right ideal, consisting of all a # R such that ba # X, is weak* closed in R. Equivalently, X is closed in the R-topology if and only if for each b #B(H) and each orthogonal family of projections ei in R with the sum 1 the condition bei # X for all i implies that b # X. 1998 Academic Press 1. INTRODUCTION Given a C*-algebra R on a Hilbert space H, a concrete operator right R-module is a subspace X of B(H) (the algebra of all bounded linear operators on H) such that XRX. Such modules can be characterized abstractly as L -matricially normed spaces in the sense of Ruan [21], [11] which are equipped with a completely contractive R-module multi- plication (see [6] and [9]).
    [Show full text]
  • 7.3 Topological Vector Spaces, the Weak and Weak⇤ Topology on Banach Spaces
    138 CHAPTER 7. ELEMENTS OF FUNCTIONAL ANALYSIS 7.3 Topological Vector spaces, the weak and weak⇤ topology on Banach spaces The following generalizes normed Vector space. Definition 7.3.1. Let X be a vector space over K, K = C, or K = R, and assume that is a topology on X. we say that X is a topological vector T space (with respect to ), if (X X and K X are endowed with the T ⇥ ⇥ respective product topology) +:X X X, (x, y) x + y is continuous ⇥ ! 7! : K X (λ, x) λ x is continuous. · ⇥ 7! · A topological vector space X is called locally convex,ifeveryx X has a 2 neighborhood basis consisting of convex sets, where a set A X is called ⇢ convex if for all x, y A, and 0 <t<1, it follows that tx +1 t)y A. 2 − 2 In order to define a topology on a vector space E which turns E into a topological vector space we (only) need to define an appropriate neighbor- hood basis of 0. Proposition 7.3.2. Assume that (E, ) is a topological vector space. And T let = U , 0 U . U0 { 2T 2 } Then a) For all x E, x + = x + U : U is a neighborhood basis of x, 2 U0 { 2U0} b) for all U there is a V so that V + V U, 2U0 2U0 ⇢ c) for all U and all R>0 there is a V ,sothat 2U0 2U0 λ K : λ <R V U, { 2 | | }· ⇢ d) for all U and x E there is an ">0,sothatλx U,forall 2U0 2 2 λ K with λ <", 2 | | e) if (E, ) is Hausdor↵, then for every x E, x =0, there is a U T 2 6 2U0 with x U, 62 f) if E is locally convex, then for all U there is a convex V , 2U0 2T with V U.
    [Show full text]
  • AND the DOUBLE COMMUTANT THEOREM Recall
    Egbert Rijke Utrecht University [email protected] THE STRONG OPERATOR TOPOLOGY ON B(H) AND THE DOUBLE COMMUTANT THEOREM ABSTRACT. These are the notes for a presentation on the strong and weak operator topolo- gies on B(H) and on commutants of unital self-adjoint subalgebras of B(H) in the seminar on von Neumann algebras in Utrecht. The main goal for this talk was to prove the double commutant theorem of von Neumann. We will also give a proof of Vigiers theorem and we will work out several useful properties of the commutant. Recall that a seminorm on a vector space V is a map p : V ! [0;¥) with the properties that (i) p(lx) = jljp(x) for every vector x 2 V and every scalar l and (ii) p(x + y) ≤ p(x) + p(y) for every pair of vectors x;y 2 V. If P is a family of seminorms on V there is a topology generated by P of which the subbasis is defined by the sets fv 2 V : p(v − x) < eg; where e > 0, p 2 P and x 2 V. Hence a subset U of V is open if and only if for every x 2 U there exist p1;:::; pn 2 P, and e > 0 with the property that n \ fv 2 V : pi(v − x) < eg ⊂ U: i=1 A family P of seminorms on V is called separating if, for every non-zero vector x, there exists a seminorm p in P such that p(x) 6= 0.
    [Show full text]
  • Weak Operator Topology, Operator Ranges and Operator Equations Via Kolmogorov Widths
    Weak operator topology, operator ranges and operator equations via Kolmogorov widths M. I. Ostrovskii and V. S. Shulman Abstract. Let K be an absolutely convex infinite-dimensional compact in a Banach space X . The set of all bounded linear operators T on X satisfying TK ⊃ K is denoted by G(K). Our starting point is the study of the closure WG(K) of G(K) in the weak operator topology. We prove that WG(K) contains the algebra of all operators leaving lin(K) invariant. More precise results are obtained in terms of the Kolmogorov n-widths of the compact K. The obtained results are used in the study of operator ranges and operator equations. Mathematics Subject Classification (2000). Primary 47A05; Secondary 41A46, 47A30, 47A62. Keywords. Banach space, bounded linear operator, Hilbert space, Kolmogorov width, operator equation, operator range, strong operator topology, weak op- erator topology. 1. Introduction Let K be a subset in a Banach space X . We say (with some abuse of the language) that an operator D 2 L(X ) covers K, if DK ⊃ K. The set of all operators covering K will be denoted by G(K). It is a semigroup with a unit since the identity operator is in G(K). It is easy to check that if K is compact then G(K) is closed in the norm topology and, moreover, sequentially closed in the weak operator topology (WOT). It is somewhat surprising that for each absolutely convex infinite- dimensional compact K the WOT-closure of G(K) is much larger than G(K) itself, and in many cases it coincides with the algebra L(X ) of all operators on X .
    [Show full text]
  • An Introduction to Some Aspects of Functional Analysis, 7: Convergence of Operators
    An introduction to some aspects of functional analysis, 7: Convergence of operators Stephen Semmes Rice University Abstract Here we look at strong and weak operator topologies on spaces of bounded linear mappings, and convergence of sequences of operators with respect to these topologies in particular. Contents I The strong operator topology 2 1 Seminorms 2 2 Bounded linear mappings 4 3 The strong operator topology 5 4 Shift operators 6 5 Multiplication operators 7 6 Dense sets 9 7 Shift operators, 2 10 8 Other operators 11 9 Unitary operators 12 10 Measure-preserving transformations 13 II The weak operator topology 15 11 Definitions 15 1 12 Multiplication operators, 2 16 13 Dual linear mappings 17 14 Shift operators, 3 19 15 Uniform boundedness 21 16 Continuous linear functionals 22 17 Bilinear functionals 23 18 Compactness 24 19 Other operators, 2 26 20 Composition operators 27 21 Continuity properties 30 References 32 Part I The strong operator topology 1 Seminorms Let V be a vector space over the real or complex numbers. A nonnegative real-valued function N(v) on V is said to be a seminorm on V if (1.1) N(tv) = |t| N(v) for every v ∈ V and t ∈ R or C, as appropriate, and (1.2) N(v + w) ≤ N(v) + N(w) for every v, w ∈ V . Here |t| denotes the absolute value of a real number t, or the modulus of a complex number t. If N(v) > 0 when v 6= 0, then N(v) is a norm on V , and (1.3) d(v, w) = N(v − w) defines a metric on V .
    [Show full text]
  • Note on Operator Algebras
    Note on Operator Algebras Takahiro Sagawa Department of Physics, The University of Tokyo 15 December 2010 Contents 1 General Topology 2 2 Hilbert Spaces and Operator Algebras 5 2.1 Hilbert Space . 5 2.2 Bounded Operators . 6 2.3 Trace Class Operators . 8 2.4 von Neumann Algebras . 10 2.5 Maps on von Neumann Algebras . 12 3 Abstract Operator Algebras 13 3.1 C∗-Algebras . 13 3.2 W ∗-algebras . 14 1 Chapter 1 General Topology Topology is an abstract structure that can be built on the set theory. We start with introducing the topological structure by open stets, which is the most standard way. A topological space is a set Ω together with O, a collection of subsets of Ω, satisfying the following properties: ∙ 휙 2 O and Ω 2 O. ∙ If O1 2 O and O2 2 O, then O1 \ O2 2 O. ∙ If O훼 2 O (훼 2 I) for arbitrary set of suffixes, then [훼2I O훼 2 O. An element of O is called an open set. In general, a set may have several topologies. If two topologies satisfy O1 ⊂ O2, then O1 is called weaker than O2, or smaller than O2. Topological structure can be generated by a subset of open spaces. Let B be a collection of subsets of a set Ω. The weakest topology O such that B ⊂ O is called generated by B. We note that such O does not always exist for an arbitrary B. Figure 1.1: An open set and a compact set. We review some important concepts in topological spaces: 2 ∙ If O is an open set, then Ω n O is called a closed set.
    [Show full text]
  • Stability of Operators and C0-Semigroups
    Stability of operators and C0-semigroups DISSERTATION der Mathematischen Fakult¨at der Eberhard–Karls–Universit¨atT¨ubingen zur Erlangung des Grades eines Doktors der Naturwissenschaften Vorgelegt von TATJANA EISNER aus Charkow 2007 Tag der m¨undlichen Qualifikation: 20. Juni 2007 Dekan: Prof. Dr. Nils Schopohl 1. Berichterstatter: Prof. Dr. Rainer Nagel 2. Berichterstatter: Prof. Dr. Wolfgang Arendt To my teachers Rainer Nagel and Anna M. Vishnyakova Zusammenfassung in deutscher Sprache In dieser Arbeit betrachten wir die Potenzen T n eines linearen, beschr¨ankten Operators T und stark stetige Operatorhalbgruppen (T (t))t≥0 auf einem Banachraum X. Daf¨ur suchen wir nach Bedingungen, die “Stabilit¨at” garantieren, d.h. lim T n = 0 bzw. lim T (t) = 0 n→∞ t→∞ bez¨uglich einer der nat¨urlichen Topologie. Dazu gehen wir wie folgt vor. In Kapitel 1 stellen wir die (nichttrivialen) funktionalanalytischen Methoden zusam- men, wie z.B. das Jacobs–Glicksberg–de Leeuw Zerlegungstheorem, spektrale Abbildungs- s¨atzeund eine inverse Laplacetransformation. In Kapitel 2 diskutieren wir den “zeitdiskreten” Fall und beschreiben zuerst polyno- miale Beschr¨anktheit und Potenzbeschr¨ankheiteines Operators T . In Abschnitt 2 wird die Stabilit¨atbez¨uglich der starken Operatortopologie behandelt. Schwache und fast schwache Stabilit¨atwird in den Abschnitten 3, 4 und 5 untersucht und durch abstrakte Charakterisierungen und konkrete Beispiele erl¨autet.Wir zeigen insbesondere, dass eine “typische” Kontraktion sowie ein “typischer” unit¨areroder isometrischer Operator auf einem unendlich-dimensionalen separablen Hilbertraum fast schwach aber nicht schwach stabil ist. Analog gehen wir in Kapitel 3 f¨ureine C0-Halbgruppe (T (t))t≥0 vor. Zun¨achst wird Beschr¨anktheit bzw.
    [Show full text]
  • The Order Bicommutant
    B. de Rijk The Order Bicommutant A study of analogues of the von Neumann Bicommutant Theorem, reflexivity results and Schur's Lemma for operator algebras on Dedekind complete Riesz spaces Master's thesis, defended on August 20, 2012 Thesis advisor: Dr. M.F.E. de Jeu Mathematisch Instituut, Universiteit Leiden Abstract It this thesis we investigate whether an analogue of the von Neumann Bicommutant Theorem and related results are valid for Riesz spaces. Let H be a Hilbert space and D ⊂ Lb(H) a ∗-invariant subset. The bicommutant D00 equals P(D0)0, where P(D0) denotes the set of pro- jections in D0. Since the sets D00 and P(D0)0 agree, there are multiple possibilities to define an analogue of bicommutant for Riesz spaces. Let E be a Dedekind complete Riesz space and A ⊂ Ln(E) a subset. Since the band generated by the projections in Ln(E) is given by Orth(E) and order projections in the commutant correspond bijectively to reducing bands, our approach is to define the bicommutant of A on E by U := (A 0 \ Orth(E))0. Our first result is that the bicommutant U equals fT 2 Ln(E): T is reduced by every A - reducing bandg. Hence U is fully characterized by its reducing bands. This is the analogue of the fact that each von Neumann algebra in Lb(H) is reflexive. This result is based on the following two observations. Firstly, in Riesz spaces there is a one-to-one correspondence between bands and order projections, instead of a one-to-one correspondence between closed subspaces and projections.
    [Show full text]
  • The Dual Space of an Operator Algebra
    THE DUAL SPACE OF AN OPERATOR ALGEBRA BY CHARLES A. AKEMANN Introduction. The purpose of this paper is to study noncommutative C*- algebras as Banach spaces. The Gelfand representation of an abelian C*-algebra as the algebra of all continuous complex-valued functions on its spectrum has made it possible to apply the techniques of measure theory and the topological properties of compact Hausdorff spaces to the study of such algebras. No such structure theory of general C*-algebras is available at present. Many theorems about the Banach space structure of abelian C*-algebras are stated in terms of topological or measure-theoretic properties of their spectra; although much work has been done of late in studying an analogous dual object for general C*-algebras, the generalization is far from exact. For this reason we shall confine our study primarily to W*-algebras in which the lattice of self-adjoint projections will be used as a substitute for the Borel sets of the spectrum of an abelian C*-algebra. Using a theorem of Takeda [15] we shall be able to extend some of our results to general C*-algebras. In [10] Sakai proved that any C*-algebra which is the dual of some Banach space has a representation as a H/*-aIgebra on some Hubert space. Dixmier [3] has proved the converse assertion, so it is possible to consider W*-algebras in a quite abstract fashion. It is this point of view which will predominate in this paper. Let F be a Banach space and suppose that the Banach space dual F* of F is a H/*-algebra, which will be denoted by M.
    [Show full text]
  • 208 C*-Algebras
    208 C*-algebras Marc Rieffel Notes by Qiaochu Yuan Spring 2013 Office hours: M 9:30-10:45, W 1:15-2:)0, F 9-10, 811 Evans Recommended text: Davidson, C*-algebras 1 Introduction The seeds of this subject go back to von Neumann, Heisenberg, and Schrodinger in the 1920s; observables in quantum mechanics should correspond to self-adjoint operators on Hilbert spaces, and the abstract context for understanding self-adjoint operators is C*-algebras. In the 1930s, von Neumann wrote about what are now called von Neumann algebras, namely subalgebras of the algebra of operators on a Hilbert space closed under adjoints and in the strong operator topology. This subject is sometimes called noncommutative measure theory because a commutative von Neumann algebra is isomorphic to L1(X) for some measure space X. In 1943, Gelfand and Naimark introduced the notion of a C*-algebra, namely a Banach algebra with an involution ∗ satisfying ka∗k = kak and ka∗ak = kak2. They showed that if such an algebra A is commutative, then it is isomorphic to the C*-algebra C(X) of continuous complex-valued functions on a compact Hausdorff space X. This space X is obtained as the Gelfand spectrum of unital C*-algebra homomorphisms A ! C. Noncommutative examples include the algebra B(H) of bounded operators on a Hilbert space. Gelfand and Naimark also showed that any C*-algebra is *-isomorphic to a *-algebra of operators on a Hilbert space. This subject is sometimes called noncommutative topology (as C*-algebras behave like the algebra of functions on a compact Hausdorff space).
    [Show full text]
  • A Convexity Primer
    A Convexity Primer Ashwin Trisal & Micah Pedrick September 7, 2019 Credit: Much of this comes from Kadison-Ringrose's text Fundamentals of the Theory of Operator Algebras and Bollob´as' Linear Analysis. This primer was intended for use alongside Chuck Akemann's 201 course homeworks, but should serve in any discussion of basic convexity theory as applied to function spaces. The authors can be contacted at [email protected] and [email protected], respectively. Contents 1 Convex Sets 2 2 Locally Convex Topological Vector Spaces 6 3 Krein-Milman 11 4 Convex Spaces and Convex Functions 12 5 Krein-Milman in Dual Spaces 13 6 The Pettis Integral 15 A Nets 16 B Initial Topologies 17 C Seminorm Topologies 18 1 1 Convex Sets The convexity theory requires real linearity and not complex linearity, even though complex spaces are preferable for spectral theory. Therefore, although we will consider real linear combinations throughout the following section, it is important to bear in mind the results are equally applicable in real and complex vector spaces. Let V be such a vector space. Definition 1.1. A set K ⊆ V is called convex if for every x; y 2 K and t 2 (0; 1), we have tx + (1 − t)y 2 K. That is, a convex set is closed under convex combinations. You may have a lot of intuition about convexity from the finite-dimensional case; this is valuable, but relies heavily on the local compactness of these spaces. As a result, this structure has not been helpful in developing intuition for the setting that we most care about—infinite-dimensional function spaces.
    [Show full text]
  • Ideals of Operators, Approximability in the Strong Operator Topology, and the Approximation Property
    IDEALS OF OPERATORS, APPROXIMABILITY IN THE STRONG OPERATOR TOPOLOGY, AND THE APPROXIMATION PROPERTY ASVALD˚ LIMA AND EVE OJA Abstract. Let F, K, and W denote the operator ideals of finite rank operators, compact operators, and weakly compact operators. Let X be a closed subspace of a Banach space Y . We prove that, in the case when A = F or A = K and B = K or B = W, the space A(Z; X) is an ideal in B(Z; Y ) for all Banach spaces Z if and only if there exists a Hahn- Banach extension operator Á : X¤ ! Y ¤ such that, for every Banach space Z and every T 2 B(Z; Y ) there exists a net (T®) in A(Z; X) with ¤ ¤ sup® kT®k · kT k such that T® ! T ± Á in the strong operator topology. Using this result, we show that X (resp. X¤) has the approxima- tion property if and only if, for every Banach space Z and every T 2 ¤¤ W(Z; X) (resp. T 2 W(Z; X )), there exists a net (T®) in F(Z; X) with ¤ ¤ sup® kT®k · kT k such that T® ! T jX¤ in the strong operator topology. It follows that conditions considered by Grothendieck as necessary for the approximation property are in fact equivalent to it. 1. Introduction Let us recall that a linear subspace F of a Banach space E is an ideal in E if F ? is the kernel of a norm one projection in E¤. The notion of an ideal was introduced and studied by Godefroy, Kalton, and Saphar in [3].
    [Show full text]