A Hierarchy of Banach Spaces with C(K) Calkin Algebras
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Set Theory and Operator Algebras
SET THEORY AND OPERATOR ALGEBRAS ILIJAS FARAH AND ERIC WOFSEY These notes are based on the six-hour Appalachian Set Theory workshop given by Ilijas Farah on February 9th, 2008 at Carnegie Mellon Univer- sity. The first half of the workshop (Sections 1-3) consisted of a review of Hilbert space theory and an introduction to C∗-algebras, and the second half (Sections 4–6) outlined a few set-theoretic problems relating to C∗-algebras. The number and variety of topics covered in the workshop was unfortunately limited by the available time. Good general references on Hilbert spaces and C∗-algebras include [8], [10], [14], [27], and [35]. An introduction to spectral theory is given in [9]. Most of the omitted proofs can be found in most of these references. For a survey of applications of set theory to operator algebras, see [36]. Acknowledgments. We would like to thank Nik Weaver for giving us a kind permission to include some of his unpublished results. I.F. would like to thank George Elliott, N. Christopher Phillips, Efren Ruiz, Juris Stepr¯ans, Nik Weaver and the second author for many conversations related to the topics presented here. I.F. is partially supported by NSERC. Contents 1. Hilbert spaces and operators 2 1.1. Normal operators and the spectral theorem 3 1.2. The spectrum of an operator 6 2. C∗-algebras 7 2.1. Some examples of C∗-algebras 8 2.2. L∞(X, µ) 9 2.3. Automatic continuity and the Gelfand transform 10 3. Positivity, states and the GNS construction 12 3.1. -
Some Dense Barrelled Subspaces of Barrelled
Note di Matematica Vol. VI, 155-203(1986) SOMEDENSE BARRELLEDSUBSPACES OF BARRELLED SPACES WITH DECOMPOSITION PROPERTIES Jurgen ELSTRODT-Welter ROELCKE 1. INTRODUCTION. There are many results on the barrelledness of subspaces of a barrelled topologica1 vector space X. For example, by M.Valdivia [14], Theorem 3. and independently by S.A.Saxon and M.Levin Cl11 9 every subspace of countable codimension in X is barrelled. Recalling that locally convex Baire spaces are always barrelled, it is an interesting fact that every infinite dimensiona1 Banach space contains a dense barrelled subspace which is not Baire, by S.A.Saxon [lo]. From the point of view of constructing dense barrelled subspaces’ L of a barrelled space X the smaller subspaces L are the more interesting ones by the simple fact that if L is dense and barrelled SO are al1 subspaces M between L and X. For barrelled sequence spaces X some known constructions of dense barrelled subspaces use “thinness conditions” on the spacing of the non-zero terms xn in the sequences (x~)~~NEX. Section 3 of this article contains a unification and generalization of these constructions. which we describe now in the special case of sequence spaces. Let X be a sequence space over the field M of rea1 or complex numbers.For every x=(x,,)~~NFX and kelN:=(1,2,3,...) let g,(x) denote the number of indices ne (1,2,....k} such that x,.,*0. Clearly the “thinness condition” 156 J.Elstrodt-W.Roelcke g,(x) (0) lim k =0 k-tm on the sequence of non-zero components of x defines a Iinear sub- space L of X. -
Fredholm Operators and Atkinson's Theorem
1 A One Lecture Introduction to Fredholm Operators Craig Sinnamon 250380771 December, 2009 1. Introduction This is an elementary introdution to Fredholm operators on a Hilbert space H. Fredholm operators are named after a Swedish mathematician, Ivar Fredholm(1866-1927), who studied integral equations. We will introduce two definitions of a Fredholm operator and prove their equivalance. We will also discuss briefly the index map defined on the set of Fredholm operators. Note that results proved in 4154A Functional Analysis by Prof. Khalkhali may be used without proof. Definition 1.1: A bounded, linear operator T : H ! H is said to be Fredholm if 1) rangeT ⊆ H is closed 2) dimkerT < 1 3) dimketT ∗ < 1 Notice that for a bounded linear operator T on a Hilbert space H, kerT ∗ = (ImageT )?. Indeed: x 2 kerT ∗ , T ∗x = 0 ,< T ∗x; y >= 0 for all y 2 H ,< x:T y >= 0 , x 2 (ImageT )? A good way to think about these Fredholm operators is as operators that are "almost invertible". This notion of "almost invertible" will be made pre- cise later. For now, notice that that operator is almost injective as it has only a finite dimensional kernal, and almost surjective as kerT ∗ = (ImageT )? is also finite dimensional. We will now introduce some algebraic structure on the set of all bounded linear functionals, L(H) and from here make the above discussion precise. 2 2. Bounded Linear Operators as a Banach Algebra Definition 2.1:A C algebra is a ring A with identity along with a ring homomorphism f : C ! A such that 1 7! 1A and f(C) ⊆ Z(A). -
CONTENTS: UNIT -I: VECTOR SPACE 1-16 1.1 Introduction 1.2
CONTENTS: UNIT -I: VECTOR SPACE 1-16 1.1 Introduction 1.2 Objectives 1.3 Vector space 1.4 Subspace 1.5 Basis 1.6 Normed space 1.7 Exercise UNIT- II: CONVEX SETS 17-21 2.1 Introduction 2.2 Objectives 2.3 Convex sets 2.4 Norm topology 2.5 Equivalent norms 2.6 Exercise UNIT-III: NORMED SPACES AND SUBSPACES 22-28 3.1 Introduction 3.2 Objectives 3.3 Finite dimensional normed spaces and subspaces 3.4 Compactness 3.5 Exercise UNIT – IV: LINEAR OPERATOR 29-35 4.1 Introduction 4.2 Objectives 4.3 Linear operator 4.4 Bounded linear operator 1 4.5 Exercise UNIT – V: LINEAR FUNCTIONAL 36-43 5.1 Introduction 5.2 Objectives 5.3 Linear functional 5.4 Normed spaces of operators 5.5 Exercise UNIT – VI: BOUNDED OR CONTINUOUS LINEAR OPERATOR 44-50 6.1 Introduction 6.2 Objectives 6.3 Bounded or continuous linear operator 6.4 Dual space 6.5 Exercise UNIT-VII: INNER PRODUCT SPACE 51-62 7.1 1ntroduction 7.2 Objectives 7.3 1nner product 7.4 Orthogonal set 7.5.Gram Schmidt’s Process 7.6.Total orthonormal set 7.7 Exercises UNIT-VIII: ANNIHILATORS AND PROJECTIONS 63-65 8.1.Introduction 8.2 Objectives 8.3 Annihilator 8.4.Orthogonal Projection 8.5 Exercise 2 UNIT-IX: HILBERT SPACE 66-71 9.1.Introduction 9.2 Objectives 9.3 Hilbert space 9.4 Convex set 9.5 Orthogonal 9.6 Isomorphic 9.7 Hilbert dimension 9.8 Exercise UNIT-X: REFLEXIVITY OF HILBERT SPACES 72-77 10.1 Introduction 10.2 Objectives 10.3 Reflexivity of Hilbert spaces 10.4 Exercise UNIT XI: RIESZ’S THEOREM 78-89 11.1 Introduction 11.2 Objectives 11.3 Riesz’s theorem 11.4 Sesquilinear form 11.5 Riesz’s representation -
A Generalisation of Mackey's Theorem and the Uniform Boundedness Principle
BULL. AUSTRAL. MATH. SOC. 46AO5 VOL. 40 (1989) [123-128] t A GENERALISATION OF MACKEY'S THEOREM AND THE UNIFORM BOUNDEDNESS PRINCIPLE CHARLES SWARTZ We construct a locally convex topology which is stronger than the Mackey topology but still has the same bounded sets as the Mackey topology. We use this topology to give a locally convex version of the Uniform Boundedness Principle which is valid without any completeness or barrelledness assumptions. A well known theorem of Mackey ([2, 20.11.7]) states that a subset of a locally convex topological vector space is bounded if and only if it is weakly bounded. In particular, this means that if two vector spaces X and X' are in duality, then the weak topology and the Mackey topology of X have the same bounded sets. In this note we construct a locally convex topology on X which is always stronger than the Mackey topology but which still has the same bounded sets as the Mackey (or the weak) topology. We give an example which shows that this topology which always has the same bounded sets as the Mackey topology can be strictly stronger than the Mackey topology and, therefore, can fail to be compatible with the duality between X and X'. As an application of this result, we give several versions of the Uniform Boundedness Principle for locally convex spaces which involve no completeness or barrelledness assumptions. For the remainder of this note, let X and X' be two vector spaces in duality with respect to the bilinear pairing <, > . The weak (Mackey, strong) topology on X will be denoted by cr(X, X')(T(X, X'), {3(X, X')). -
Weak-Polynomial Convergence on a Banach
proceedings of the american mathematical society Volume 118, Number 2, June 1993 WEAK-POLYNOMIALCONVERGENCE ON A BANACH SPACE J. A. JARAMILLOAND A. PRIETO (Communicated by Theodore W. Gamelin) Abstract. We show that any super-reflexive Banach space is a A-space (i.e., the weak-polynomial convergence for sequences implies the norm convergence). We introduce the notion of /c-space (i.e., a Banach space where the weak- polynomial convergence for sequences is different from the weak convergence) and we prove that if a dual Banach space Z is a k-space with the approxima- tion property, then the uniform algebra A(B) on the unit ball of Z generated by the weak-star continuous polynomials is not tight. We shall be concerned in this note with some questions, posed by Carne, Cole, and Gamelin in [3], involving the weak-polynomial convergence and its relation to the tightness of certain algebras of analytic functions on a Banach space. Let A' be a (real or complex) Banach space. For m = 1,2, ... let 3°(mX) denote the Banach space of all continuous m-homogeneous polynomials on X, endowed with its usual norm; that is, each P e 3B(mX) is a map of the form P(x) = A(x, ... ,m) x), where A is a continuous, m-linear (scalar-valued) form on Xx---m]xX. Also, let S6(X) denote the space of all continuous polynomials on X; that is, each P e 3°(X) is a finite sum P - Pq + Px-\-\-Pn , where P0 is constant and each Pm e 3B(mX) for m= 1,2, .. -
Functions of Bounded Variation on “Good” Metric Spaces
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector J. Math. Pures Appl. 82 (2003) 975–1004 www.elsevier.com/locate/matpur Functions of bounded variation on “good” metric spaces Michele Miranda Jr. ∗ Scuola Normale Superiore, Piazza dei Cavalieri, 7, 56100 Pisa, Italy Received 6 November 2002 Abstract In this paper we give a natural definition of Banach space valued BV functions defined on complete metric spaces endowed with a doubling measure (for the sake of simplicity we will say doubling metric spaces) supporting a Poincaré inequality (see Definition 2.5 below). The definition is given starting from Lipschitz functions and taking closure with respect to a suitable convergence; more precisely, we define a total variation functional for every Lipschitz function; then we take the lower semicontinuous envelope with respect to the L1 topology and define the BV space as the domain of finiteness of the envelope. The main problem of this definition is the proof that the total variation of any BV function is a measure; the techniques used to prove this fact are typical of Γ -convergence and relaxation. In Section 4 we define the sets of finite perimeter, obtaining a Coarea formula and an Isoperimetric inequality. In the last section of this paper we also compare our definition of BV functions with some definitions already existing in particular classes of doubling metric spaces, such as Weighted spaces, Ahlfors-regular spaces and Carnot–Carathéodory spaces. 2003 Éditions scientifiques et médicales Elsevier SAS. All rights reserved. Résumé Dans cet article on trouve une définition bien naturelle de la variation bornée pour les fonctions à valeurs dans un espace de Banach, ayant comme domaine un espace métrique complet. -
Contractibility and Generalized Convexity
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOIJRNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 156, 341-357 (1991) Contractibility and Generalized Convexity CHARLES D. HORVATH MathPmatiques, UniversitP de Perpignan, Avenue de Vikweuve, 66860 Perpignan C&dex, France Submitled by Ky Fan Received November 20, 1988 0. INTRODUCTION AND NOTATION This paper is a study of a generalized convexity structure on topological spaces. We introduce the concept of singular face structure on a topological space and it is proved in Section 1 that any such structure dominates a singular simplex of the same dimension, in a sense made clear by the statement of Theorem 1. From Theorem 1, generalizations of the classical theorems of Knaster-Kuratowski-Mazurkiewicz [ 191, Berge-Klee 18, IS], Alexandroff-Pasynkoff [ 1 ] are obtained. Next, c-spaces are introduced as generalizations of convex sets. Similar structures have been recently considered by Bardaro and Ceppitelli [2]. Generalized convexities are usually associated with some kind of algebraic closure operator on the lattice of subsets or, which is equivalent, with a family of subsets stable by arbitrary intersection, we require only that our operator, the generalized convex hull, be defined on finite subsets and that it should be isotone, for example the generalized convex hull of a finite set A does not have to contain A, and we require one more topological property, contractibility. In this framework we extend results of Ben El-Mechajiekh, Deguire, and Granas [S, 61 on fixed point and coincidence for multivalued maps, these results being themselves generalizations of well known theorems of Ky Fan. -
Logic and $\Mathrm {C}^* $-Algebras: Set Theoretical Dichotomies in The
LOGIC AND C∗-ALGEBRAS: SET THEORETICAL DICHOTOMIES IN THE THEORY OF CONTINUOUS QUOTIENTS ALESSANDRO VIGNATI A DISSERTATION SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY arXiv:1706.06393v1 [math.LO] 20 Jun 2017 GRADUATE PROGRAM IN MATHEMATICS AND STATISTICS YORK UNIVERSITY TORONTO, ONTARIO APRIL 2017 Abstract Given a nonunital C∗-algebra A one constructs its corona algebra (A)/A. This is the noncommutative analog of the Cech-Stoneˇ remainder of a topological space. We analyzeM the two faces of these algebras: the first one is given assuming CH, and the other one arises when Forcing Axioms are assumed. In their first face, corona C∗-algebras have a large group of automorphisms that includes nondefinable ones. The second face is the Forcing Axiom one; here the automorphism group of a corona C∗-algebra is as rigid as possible, including only definable elements. Table of Contents Abstract........................................... ........ 1 Table of Contents i 1 Introduction 1 1.1 Structureofthethesis .............................. .......... 4 1.2 Acknowledgments................................... ........ 4 2 Preliminaries and Notation 6 2.1 SetTheory ........................................ ...... 6 2.1.1 Descriptivesettheory .............................. ...... 6 2.1.2 Ideals in (N) ........................................ 7 2.1.3 TheContinuumHypothesisP . .. .. .. .. .. .. .. .. .. .. .. .. ..... 7 2.1.4 Forcing and Forcing Axioms . ..... 8 2.2 C∗-algebras ........................................... ... 10 2.2.1 Examples of C∗-algebras................................... 10 2.2.2 Ideals ........................................... .. 11 2.2.3 Approximate identities . ..... 11 2.2.4 The multiplier and the corona . ..... 15 2.2.5 The unique ideal of a II -factor .............................. 16 ∞ 2.2.6 Nuclear C∗-algebrasandtheCPAP............................. 17 2.2.7 Approximatemaps................................. -
Exhaustive Operators and Vector Measures
EXHAUSTIVE OPERATORS AND VECTOR MEASURES by N. J. KALTON (Received 28th January 1974) 1. Introduction Let S be a compact Hausdorff space and let O: C(S)-*Ebe a linear operator defined on the space of real-valued continuous functions on S and taking values in a (real) topological vector space E. Then O is called exhaustive (7) if given any sequence of functions /„ e C(S) such that/n ^ 0 and 00 SUP £ fn(s)<CO s n = 1 then <t>(/n)-»0. If E is complete then it was shown in (7) that exhaustive maps are precisely those which possess regular integral extensions to the space of bounded Borel functions on S; this is equivalent to possessing a representation where JI is a regular countably additive £-valued measure defined on the a- algebra of Borel subsets of S. In this paper we seek conditions on E such that every continuous operator <&: C(S)-+E (for the norm topology on C(S)) is exhaustive. If E is a Banach space then Pelczynski (14) has shown that every exhaustive map is weakly compact; then we have from results in (2) and (16); Theorem 1.1. If E is a Banach space containing no copy of c0, then every bounded®: C(S)->E is exhaustive. Theorem 1.2. If E is a Banach space containing no copy of lx, then if S is a-Stonian, every bounded®: C(S)->E is exhaustive. These results extend naturally to locally convex spaces, but here we study the general non-locally convex case. We show that Theorem 1.1 does indeed extend to arbitrary topological vector spaces; it seems likely that Theorem 1.2 extends also, but we here only prove special cases. -
Around Finite-Dimensionality in Functional Analysis
AROUND FINITE-DIMENSIONALITY IN FUNCTIONAL ANALYSIS- A PERSONAL PERSPECTIVE by M.A. Sofi Department of Mathematics, Kashmir University, Srinagar-190006, INDIA email: aminsofi@rediffmail.com Abstract1: As objects of study in functional analysis, Hilbert spaces stand out as special objects of study as do nuclear spaces (ala Grothendieck) in view of a rich geometrical structure they possess as Banach and Frechet spaces, respectively. On the other hand, there is the class of Banach spaces including certain function spaces and sequence spaces which are distinguished by a poor geometrical structure and are sub- sumed under the class of so-called Hilbert-Schmidt spaces. It turns out that these three classes of spaces are mutually disjoint in the sense that they intersect precisely in finite dimensional spaces. However, it is remarkable that despite this mutually exclusive character, there is an underlying commonality of approach to these disparate classes of objects in that they crop up in certain situations involving a single phenomenon-the phenomenon of finite dimensionality-which, by defi- nition, is a generic term for those properties of Banach spaces which hold good in finite dimensional spaces but fail in infinite dimension. 1. Introduction A major effort in functional analysis is devoted to examining the ex- tent to which a given property enjoyed by finite dimensional (Banach) spaces can be extended to an infinite dimensional setting. Thus, given a property (P) valid in each finite dimensional Banach space, the de- sired extension to the infinite dimensional setting admits one of the arXiv:1310.7165v1 [math.FA] 27 Oct 2013 following three (mutually exclusive) possibilities: (a). -
Lecture Notes on Operator Algebras John M. Erdman Portland State
Lecture Notes on Operator Algebras John M. Erdman Portland State University Version March 12, 2011 c 2010 John M. Erdman E-mail address: [email protected] Contents 1 Chapter 1. LINEAR ALGEBRA AND THE SPECTRAL THEOREM3 1.1. Vector Spaces and the Decomposition of Diagonalizable Operators3 1.2. Normal Operators on an Inner Product Space6 Chapter 2. THE ALGEBRA OF HILBERT SPACE OPERATORS 13 2.1. Hilbert Space Geometry 13 2.2. Operators on Hilbert Spaces 16 2.3. Algebras 19 2.4. Spectrum 21 Chapter 3. BANACH ALGEBRAS 23 3.1. Definition and Elementary Properties 23 3.2. Maximal Ideal Space 26 3.3. Characters 27 3.4. The Gelfand Topology 28 3.5. The Gelfand Transform 31 3.6. The Fourier Transform 32 Chapter 4. INTERLUDE: THE LANGUAGE OF CATEGORIES 35 4.1. Objects and Morphisms 35 4.2. Functors 36 4.3. Natural Transformations 38 4.4. Universal Morphisms 39 Chapter 5. C∗-ALGEBRAS 43 5.1. Adjoints of Hilbert Space Operators 43 5.2. Algebras with Involution 44 5.3. C∗-Algebras 46 5.4. The Gelfand-Naimark Theorem|Version I 47 Chapter 6. SURVIVAL WITHOUT IDENTITY 49 6.1. Unitization of Banach Algebras 49 6.2. Exact Sequences and Extensions 51 6.3. Unitization of C∗-algebras 53 6.4. Quasi-inverses 55 6.5. Positive Elements in C∗-algebras 57 6.6. Approximate Identities 59 Chapter 7. SOME IMPORTANT CLASSES OF HILBERT SPACE OPERATORS 61 7.1. Orthonormal Bases in Hilbert Spaces 61 7.2. Projections and Partial Isometries 63 7.3. Finite Rank Operators 65 7.4.