Von Neumann Algebras, Affiliated Operators and Representations of the Heisenberg Relation
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Adjoint of Unbounded Operators on Banach Spaces
November 5, 2013 ADJOINT OF UNBOUNDED OPERATORS ON BANACH SPACES M.T. NAIR Banach spaces considered below are over the field K which is either R or C. Let X be a Banach space. following Kato [2], X∗ denotes the linear space of all continuous conjugate linear functionals on X. We shall denote hf; xi := f(x); x 2 X; f 2 X∗: On X∗, f 7! kfk := sup jhf; xij kxk=1 defines a norm on X∗. Definition 1. The space X∗ is called the adjoint space of X. Note that if K = R, then X∗ coincides with the dual space X0. It can be shown, analogues to the case of X0, that X∗ is a Banach space. Let X and Y be Banach spaces, and A : D(A) ⊆ X ! Y be a densely defined linear operator. Now, we st out to define adjoint of A as in Kato [2]. Theorem 2. There exists a linear operator A∗ : D(A∗) ⊆ Y ∗ ! X∗ such that hf; Axi = hA∗f; xi 8 x 2 D(A); f 2 D(A∗) and for any other linear operator B : D(B) ⊆ Y ∗ ! X∗ satisfying hf; Axi = hBf; xi 8 x 2 D(A); f 2 D(B); D(B) ⊆ D(A∗) and B is a restriction of A∗. Proof. Suppose D(A) is dense in X. Let S := ff 2 Y ∗ : x 7! hf; Axi continuous on D(A)g: For f 2 S, define gf : D(A) ! K by (gf )(x) = hf; Axi 8 x 2 D(A): Since D(A) is dense in X, gf has a unique continuous conjugate linear extension to all ∗ of X, preserving the norm. -
Quasi-Expectations and Amenable Von Neumann
PROCEEDINGS OI THE „ „ _„ AMERICAN MATHEMATICAL SOCIETY Volume 71, Number 2, September 1978 QUASI-EXPECTATIONSAND AMENABLEVON NEUMANN ALGEBRAS JOHN W. BUNCE AND WILLIAM L. PASCHKE1 Abstract. A quasi-expectation of a C*-algebra A on a C*-subalgebra B is a bounded linear projection Q: A -> B such that Q(xay) = xQ(a)y Vx,y £ B, a e A. It is shown that if M is a von Neumann algebra of operators on Hubert space H for which there exists a quasi-expectation of B(H) on M, then there exists a projection of norm one of B(H) on M, i.e. M is injective. Further, if M is an amenable von Neumann subalgebra of a von Neumann algebra N, then there exists a quasi-expectation of N on M' n N. These two facts yield as an immediate corollary the recent result of A. Cormes that all amenable von Neumann algebras are injective. Let A be a unital C*-algebra and B a unital C*-subalgebra of A. By a quasi-expectation of A on B, we mean a bounded linear projection Q: A -» B such that Q(xay) = xQ(a)y Vx,y G B, a G A. A classical result of J. Tomiyama [13] says that any projection of norm one of A onto F is a quasi-expectation. In what follows, we will show that if M is a von Neumann algebra of operators on Hubert space H, then the existence of a quasi-expec- tation of B(H) on M implies the existence of a projection of norm one of B(H) on M. -
Von Neumann Algebras Form a Model for the Quantum Lambda Calculus∗
Von Neumann Algebras form a Model for the Quantum Lambda Calculus∗ Kenta Cho and Abraham Westerbaan Institute for Computing and Information Sciences Radboud University, Nijmegen, the Netherlands {K.Cho,awesterb}@cs.ru.nl Abstract We present a model of Selinger and Valiron’s quantum lambda calculus based on von Neumann algebras, and show that the model is adequate with respect to the operational semantics. 1998 ACM Subject Classification F.3.2 Semantics of Programming Language Keywords and phrases quantum lambda calculus, von Neumann algebras 1 Introduction In 1925, Heisenberg realised, pondering upon the problem of the spectral lines of the hydrogen atom, that a physical quantity such as the x-position of an electron orbiting a proton is best described not by a real number but by an infinite array of complex numbers [12]. Soon afterwards, Born and Jordan noted that these arrays should be multiplied as matrices are [3]. Of course, multiplying such infinite matrices may lead to mathematically dubious situations, which spurred von Neumann to replace the infinite matrices by operators on a Hilbert space [44]. He organised these into rings of operators [25], now called von Neumann algebras, and thereby set off an explosion of research (also into related structures such as Jordan algebras [13], orthomodular lattices [2], C∗-algebras [34], AW ∗-algebras [17], order unit spaces [14], Hilbert C∗-modules [28], operator spaces [31], effect algebras [8], . ), which continues even to this day. One current line of research (with old roots [6, 7, 9, 19]) is the study of von Neumann algebras from a categorical perspective (see e.g. -
Functional Analysis Lecture Notes Chapter 2. Operators on Hilbert Spaces
FUNCTIONAL ANALYSIS LECTURE NOTES CHAPTER 2. OPERATORS ON HILBERT SPACES CHRISTOPHER HEIL 1. Elementary Properties and Examples First recall the basic definitions regarding operators. Definition 1.1 (Continuous and Bounded Operators). Let X, Y be normed linear spaces, and let L: X Y be a linear operator. ! (a) L is continuous at a point f X if f f in X implies Lf Lf in Y . 2 n ! n ! (b) L is continuous if it is continuous at every point, i.e., if fn f in X implies Lfn Lf in Y for every f. ! ! (c) L is bounded if there exists a finite K 0 such that ≥ f X; Lf K f : 8 2 k k ≤ k k Note that Lf is the norm of Lf in Y , while f is the norm of f in X. k k k k (d) The operator norm of L is L = sup Lf : k k kfk=1 k k (e) We let (X; Y ) denote the set of all bounded linear operators mapping X into Y , i.e., B (X; Y ) = L: X Y : L is bounded and linear : B f ! g If X = Y = X then we write (X) = (X; X). B B (f) If Y = F then we say that L is a functional. The set of all bounded linear functionals on X is the dual space of X, and is denoted X0 = (X; F) = L: X F : L is bounded and linear : B f ! g We saw in Chapter 1 that, for a linear operator, boundedness and continuity are equivalent. -
Quantum Mechanics, Schrodinger Operators and Spectral Theory
Quantum mechanics, SchrÄodingeroperators and spectral theory. Spectral theory of SchrÄodinger operators has been my original ¯eld of expertise. It is a wonderful mix of functional analy- sis, PDE and Fourier analysis. In quantum mechanics, every physical observable is described by a self-adjoint operator - an in¯nite dimensional symmetric matrix. For example, ¡¢ is a self-adjoint operator in L2(Rd) when de¯ned on an appropriate domain (Sobolev space H2). In quantum mechanics it corresponds to a free particle - just traveling in space. What does it mean, exactly? Well, in quantum mechanics, position of a particle is described by a wave 2 d function, Á(x; t) 2 L (R ): The physical meaningR of the wave function is that the probability 2 to ¯nd it in a region at time t is equal to jÁ(x; t)j dx: You can't know for sure where the particle is for sure. If initially the wave function is given by Á(x; 0) = Á0(x); the SchrÄodinger ¡i¢t equation says that its evolution is given by Á(x; t) = e Á0: But how to compute what is e¡i¢t? This is where Fourier transform comes in handy. Di®erentiation becomes multiplication on the Fourier transform side, and so Z ¡i¢t ikx¡ijkj2t ^ e Á0(x) = e Á0(k) dk; Rd R ^ ¡ikx where Á0(k) = Rd e Á0(x) dx is the Fourier transform of Á0: I omitted some ¼'s since they do not change the picture. Stationary phase methods lead to very precise estimates on free SchrÄodingerevolution. -
Algebra of Operators Affiliated with a Finite Type I Von Neumann Algebra
UNIVERSITATIS IAGELLONICAE ACTA MATHEMATICA doi: 10.4467/20843828AM.16.005.5377 53(2016), 39{57 ALGEBRA OF OPERATORS AFFILIATED WITH A FINITE TYPE I VON NEUMANN ALGEBRA by Piotr Niemiec and Adam Wegert Abstract. The aim of the paper is to prove that the ∗-algebra of all (closed densely defined linear) operators affiliated with a finite type I von Neumann algebra admits a unique center-valued trace, which turns out to be, in a sense, normal. It is also demonstrated that for no other von Neumann algebras similar constructions can be performed. 1. Introduction. With every von Neumann algebra A one can associate the set Aff(A) of operators (unbounded, in general) which are affiliated with A. In [11] Murray and von Neumann discovered that, surprisingly, Aff(A) turns out to be a unital ∗-algebra when A is finite. This was in fact the first example of a rich set of unbounded operators in which one can define algebraic binary op- erations in a natural manner. This concept was later adapted by Segal [17,18], who distinguished a certain class of unbounded operators (namely, measurable with respect to a fixed normal faithful semi-finite trace) affiliated with an ar- bitrary semi-finite von Neumann algebra and equipped it with a structure of a ∗-algebra (for an alternative proof see e.g. [12] or x2 in Chapter IX of [21]). A more detailed investigations in algebras of the form Aff(A) were initiated by a work of Stone [19], who described their models for commutative A in terms of unbounded continuous functions densely defined on the Gelfand spectrum X of A. -
Operator Algebras: an Informal Overview 3
OPERATOR ALGEBRAS: AN INFORMAL OVERVIEW FERNANDO LLEDO´ Contents 1. Introduction 1 2. Operator algebras 2 2.1. What are operator algebras? 2 2.2. Differences and analogies between C*- and von Neumann algebras 3 2.3. Relevance of operator algebras 5 3. Different ways to think about operator algebras 6 3.1. Operator algebras as non-commutative spaces 6 3.2. Operator algebras as a natural universe for spectral theory 6 3.3. Von Neumann algebras as symmetry algebras 7 4. Some classical results 8 4.1. Operator algebras in functional analysis 8 4.2. Operator algebras in harmonic analysis 10 4.3. Operator algebras in quantum physics 11 References 13 Abstract. In this article we give a short and informal overview of some aspects of the theory of C*- and von Neumann algebras. We also mention some classical results and applications of these families of operator algebras. 1. Introduction arXiv:0901.0232v1 [math.OA] 2 Jan 2009 Any introduction to the theory of operator algebras, a subject that has deep interrelations with many mathematical and physical disciplines, will miss out important elements of the theory, and this introduction is no ex- ception. The purpose of this article is to give a brief and informal overview on C*- and von Neumann algebras which are the main actors of this summer school. We will also mention some of the classical results in the theory of operator algebras that have been crucial for the development of several areas in mathematics and mathematical physics. Being an overview we can not provide details. Precise definitions, statements and examples can be found in [1] and references cited therein. -
Multiple Operator Integrals: Development and Applications
Multiple Operator Integrals: Development and Applications by Anna Tomskova A thesis submitted for the degree of Doctor of Philosophy at the University of New South Wales. School of Mathematics and Statistics Faculty of Science May 2017 PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES Thesis/Dissertation Sheet Surname or Family name: Tomskova First name: Anna Other name/s: Abbreviation for degree as given in the University calendar: PhD School: School of Mathematics and Statistics Faculty: Faculty of Science Title: Multiple Operator Integrals: Development and Applications Abstract 350 words maximum: (PLEASE TYPE) Double operator integrals, originally introduced by Y.L. Daletskii and S.G. Krein in 1956, have become an indispensable tool in perturbation and scattering theory. Such an operator integral is a special mapping defined on the space of all bounded linear operators on a Hilbert space or, when it makes sense, on some operator ideal. Throughout the last 60 years the double and multiple operator integration theory has been greatly expanded in different directions and several definitions of operator integrals have been introduced reflecting the nature of a particular problem under investigation. The present thesis develops multiple operator integration theory and demonstrates how this theory applies to solving of several deep problems in Noncommutative Analysis. The first part of the thesis considers double operator integrals. Here we present the key definitions and prove several important properties of this mapping. In addition, we give a solution of the Arazy conjecture, which was made by J. Arazy in 1982. In this part we also discuss the theory in the setting of Banach spaces and, as an application, we study the operator Lipschitz estimate problem in the space of all bounded linear operators on classical Lp-spaces of scalar sequences. -
Set Theory and Von Neumann Algebras
SET THEORY AND VON NEUMANN ALGEBRAS ASGER TORNQUIST¨ AND MARTINO LUPINI Introduction The aim of the lectures is to give a brief introduction to the area of von Neumann algebras to a typical set theorist. The ideal intended reader is a person in the field of (descriptive) set theory, who works with group actions and equivalence relations, and who is familiar with the rudiments of ergodic theory, and perhaps also orbit equivalence. This should not intimidate readers with a different background: Most notions we use in these notes will be defined. The reader is assumed to know a small amount of functional analysis. For those who feel a need to brush up on this, we recommend consulting [Ped89]. What is the motivation for giving these lectures, you ask. The answer is two-fold: On the one hand, there is a strong connection between (non-singular) group actions, countable Borel equiva- lence relations and von Neumann algebras, as we will see in Lecture 3 below. In the past decade, the knowledge about this connection has exploded, in large part due to the work of Sorin Popa and his many collaborators. Von Neumann algebraic techniques have lead to many discoveries that are also of significance for the actions and equivalence relations themselves, for instance, of new cocycle superrigidity theorems. On the other hand, the increased understanding of the connection between objects of ergodic theory, and their related von Neumann algebras, has also made it pos- sible to construct large families of non-isomorphic von Neumann algebras, which in turn has made it possible to prove non-classification type results for the isomorphism relation for various types of von Neumann algebras (and in particular, factors). -
Approximation Properties for Group C*-Algebras and Group Von Neumann Algebras
transactions of the american mathematical society Volume 344, Number 2, August 1994 APPROXIMATION PROPERTIES FOR GROUP C*-ALGEBRAS AND GROUP VON NEUMANN ALGEBRAS UFFE HAAGERUP AND JON KRAUS Abstract. Let G be a locally compact group, let C*(G) (resp. VN(G)) be the C*-algebra (resp. the von Neumann algebra) associated with the left reg- ular representation / of G, let A(G) be the Fourier algebra of G, and let MqA(G) be the set of completely bounded multipliers of A(G). With the com- pletely bounded norm, MqA(G) is a dual space, and we say that G has the approximation property (AP) if there is a net {ua} of functions in A(G) (with compact support) such that ua —»1 in the associated weak '-topology. In par- ticular, G has the AP if G is weakly amenable (•» A(G) has an approximate identity that is bounded in the completely bounded norm). For a discrete group T, we show that T has the AP •» C* (r) has the slice map property for sub- spaces of any C*-algebra -<=>VN(r) has the slice map property for a-weakly closed subspaces of any von Neumann algebra (Property Sa). The semidirect product of weakly amenable groups need not be weakly amenable. We show that the larger class of groups with the AP is stable with respect to semidirect products, and more generally, this class is stable with respect to group exten- sions. We also obtain some results concerning crossed products. For example, we show that the crossed product M®aG of a von Neumann algebra M with Property S„ by a group G with the AP also has Property Sa . -
Class Notes, Functional Analysis 7212
Class notes, Functional Analysis 7212 Ovidiu Costin Contents 1 Banach Algebras 2 1.1 The exponential map.....................................5 1.2 The index group of B = C(X) ...............................6 1.2.1 p1(X) .........................................7 1.3 Multiplicative functionals..................................7 1.3.1 Multiplicative functionals on C(X) .........................8 1.4 Spectrum of an element relative to a Banach algebra.................. 10 1.5 Examples............................................ 19 1.5.1 Trigonometric polynomials............................. 19 1.6 The Shilov boundary theorem................................ 21 1.7 Further examples....................................... 21 1.7.1 The convolution algebra `1(Z) ........................... 21 1.7.2 The return of Real Analysis: the case of L¥ ................... 23 2 Bounded operators on Hilbert spaces 24 2.1 Adjoints............................................ 24 2.2 Example: a space of “diagonal” operators......................... 30 2.3 The shift operator on `2(Z) ................................. 32 2.3.1 Example: the shift operators on H = `2(N) ................... 38 3 W∗-algebras and measurable functional calculus 41 3.1 The strong and weak topologies of operators....................... 42 4 Spectral theorems 46 4.1 Integration of normal operators............................... 51 4.2 Spectral projections...................................... 51 5 Bounded and unbounded operators 54 5.1 Operations.......................................... -
Some Elements of Functional Analysis
Some elements of functional analysis J´erˆome Le Rousseau January 8, 2019 Contents 1 Linear operators in Banach spaces 1 2 Continuous and bounded operators 2 3 Spectrum of a linear operator in a Banach space 3 4 Adjoint operator 4 5 Fredholm operators 4 5.1 Characterization of bounded Fredholm operators ............ 5 6 Linear operators in Hilbert spaces 10 Here, X and Y will denote Banach spaces with their norms denoted by k.kX , k.kY , or simply k.k when there is no ambiguity. 1 Linear operators in Banach spaces An operator A from X to Y is a linear map on its domain, a linear subspace of X, to Y . One denotes by D(A) the domain of this operator. An operator from X to Y is thus characterized by its domain and how it acts on this domain. Operators defined this way are usually referred to as unbounded operators. One writes (A, D(A)) to denote the operator along with its domain. The set of linear operators from X to Y is denoted by L (X,Y ). If D(A) is dense in X the operator is said to be densely defined. If D(A) = X one says that the operator A is on X to Y . The range of the operator is denoted by Ran(A), that is, Ran(A)= {Ax; x ∈ D(A)} ⊂ Y, 1 and its kernel, ker(A), is the set of all x ∈ D(A) such that Ax = 0. The graph of A, G(A), is given by G(A)= {(x, Ax); x ∈ D(A)} ⊂ X × Y.