A direct proof of a result of Wassermann James Tener Subfactor Seminar April 16, 2010

Size: px
Start display at page:

Download "A direct proof of a result of Wassermann James Tener Subfactor Seminar April 16, 2010"

Transcription

1 A direct proof of a result of Wassermann James Tener Subfactor Seminar April 16, 010 Abstract Guided by Wassermann s Operator Algebras and Conformal Field Theory III, we will define the basic projective representation of the loop group LSU(n) on Fermionic Fock space. We ll briefly discuss subfactors arising from local loop groups, providing a direct proof (using Sobolev space techniques) that positive energy representations of local loop groups cannot see points. 1 Introduction 1.1 Positive energy representations Our main object of study will be positive energy representations of loop groups LG = C (S 1, G) where G = SU n or G = S 1. Definition 1.1. A positive energy representation of LG is a projective unitary representation of LG T on a Hilbert space H which restricts to an ordinary representation of T, also satisfying H = H(n) k=0 where dim H(n) < and T acts on H(n) by multiplication by ω ξ = ω n ξ. Since the irreducible representatinos of T are one-dimensional, they re simply the characters of T - known to be given by ω ω n for n Z. The positive energy condition requires that the irreducible summands of the representation only correspond to non-negative n. Example 1.1. The natural representation of LG T on L (S 1, C n ) is not a positive energy representation. Fix a non-zero vector v C n, and let e n (t) = e int L (S 1, C n ). We then have ω e v = ω e v = ωe v. One potential way to fix this would be to take the natural representation of LG T on ph (1 p)h, where p is the projection onto the Hardy space H (S 1, V ). The action of T now has positive energy, but since the action of LG doesn t commute with p, we don t have a C-linear representation. However, we will build an irreducible positive energy representation π (called the fundamental representation) out of this natural representation, and it will turn out that the irreducible positive energy representations are precisely the irreducible summands of π l. Subfactors will arise by considering restrictions of positive energy representations to subgropus of LG. The outline of the talk is as follows. 1

2 1. Construct the fundamental representation of LG, and show that it has positive energy according to the actual definition. We will then redefine positive energy representation to mean direct sums of irreducible summands of π l.. State nice results relating to positive energy representations, including relationship with subfactors. 3. Prove that these representations can t see points. The CAR algebra Before we can construct the fundamental representation, we need to discuss the Canonical Anticommutation Relations (CAR) algebra of a Hilbert space H. We ll simultaneously follow what the results say for the example H = L (S 1, C n ). Let Λ n H be the subspace of n H consisting of antisymmetric elements. We can think of Λ n H being spanned by symbols f 1 f n which satisfy the relations f σ(1) f σ(n) = () σ f 1 f n. Let ΛH = n=0 Λn H be the exterior algebra of H, where Λ 0 (H) = CΩ. For f H, let a(f) be the operator defined by linearly extending a(f)(f 1 f n ) = f f 1 f n. One can calculate that n+1 a(f) (f 1 f n+1 ) = f k, f f 1 f k f n+1. k=1 A direct calculation shows that if f = 1, then a(f)a(f) is a projection on Λ n H, whence a(f) = f on the algebraic direct sum Λ n H. Hence we can extend a(f) to ΛH as a bounded operator. The map f a(f) is complex linear, and satisfies the canonical anticommutation relations a(f)a(g) + a(g)a(f) = 0, a(f) a(g) + a(g)a(f) = g, f. We ll let CAR(H) denote the norm closure of {a(f)} as operators on ΛH. Theorem.1. CAR(H) acts irreducibly on ΛH. Proof. Observe that CΩ = f ker(a(f) ), and hence if x (CAR(H)) then xω = λω. Since Ω is cyclic for CAR(H), we have x = λ. 3 Construction of the fundamental representation Let p be a projection in B(H), and define H p to be the real Hilbert space H R, with multiplication by i given by i(p 1). That is, H p = ph (1 p)h. In our example, p will be the projection onto the Hardy space H (S 1, V ). We have a natural isomorphism ΛH p = ΛpH Λ(1 p)h. Using this, we define a map π p : a(h) B(ΛH p ) via π p (a(f)) = a(pf) a((1 p)f).

3 Here, we are using a graded tensor product (a b)(c d) = () b c (ac bd). Alternatively, we can map a(f) to a(pf) 1 + D a((1 p)f), where D is the parity function on Λ(1 p)h. One can verify that π p (a(f)) satisfy the CAR, allowing us to extend π p to all of CAR(H). We ve used the fact that the algebraic representation on ΛH is actually a faithful representation of the universal CAR algebra. This can be proved easily for finite dimensional Hilbert spaces, and extended to separable Hilbert spaces by a hyperfiniteness argument. Observe that T acts naturally on H p with positive energy, and this extends to ΛH p. To construct a positive energy representation, we need to extend this action to one of LG T. We can do this as follows. Theorem 3.1. If u U(H) satisfies [u, p] <, then there exists a unique element of P U(ΛH p ), which we call π(u), such that π p (a(uf)) = π(u)π p (a(f))π(u). Proof. The steps go something like this 1. Show that π p (a(f 1 ) a(f n ) a(g 1 ) a(g m ))Ω p, Ω p gives the quasi-free state of covariance p.. Show that φ q is pure for any projection q. 3. Let α(a(f)) = a(uf). Show that if φ p α is equivalent to φ p, then α is implemented on the GNS space of φ p. Recall that to prove equivalent of states, we just need to prove the norm of the difference is less than. 4. Show that φ p α = φ q, where q = u pu, and that φ p φ q C p q. 5. Split H into a finite-dimensional subspace, and one on which p q is small to get the equivalence. If Ures = {u U(H) : [u, p] < }, then π : Ures P U(ΛH p ) is a projective representation. In fact, if Ures is given the strong operator topology, combined with the premetric d(u, v) = [u v, p], then π is continuous. That is, if u n u in Ures, then there exists V, V n U(ΛH p ) such that π(u n ) = [V n ], π(u) = [V ], and V n V strongly. We would like to use this theorem to obtain a positive energy representation of LG. We begin by carefully calculating [M f, p] for f LG and ph = H (S 1, C n ). From now on, we will use G = S 1 for simplicity. Proposition 3.1. If f = n= c ne n, then [M f, p] = n= n c n. Proof. If n 0, we have (pm f M f p)e n = (1 p)m f e n = k=n+1 c k. 3

4 Similarly, if n < 0, (pm f M f p)e n = pm f e n = c k k= n Observe that c n shows up in exactly n times, which gives the desired result. The preceding proposition shows that [M f, p] f, so in particular LG Ures. 4 Local loop groups (Jones-Wassermann inclusions) We ll now look at how this gives us subfactors. Let I be the open, upper half of the semicircle, and let L I G be the subgroup of LG consisting of loops such that L I c 1. If π i is a positive energy representation of LSU n, one can show that π i (LG) is a III 1 factor, and that π i (L I G) π i (L I cg). Observe that all of the difficulties arise from the fact that π i is a projective representation. 5 The irreducibility result Let A be a finite subset of S 1, and let L A G be the subset of LG consisting of loops such that f(a) = 1 and f (n) (a) = 0 for all a A and n 1. Wassermann states and proves that for any positive energy representation π i of LG, we have π i (L A G) = π i (LG). As a corollary, Schur s Lemma tells us that irreducible positive energy representations of LG stay irreducible when restricted to L A G. Wassermann proves this result using some heavy machinery. Our goal is to obtain it by some direct analysis, using some basic theory of Sobolev spaces. We begin with two key reductions. The frist lemma reduces our question to the analysis of the topology of LG inherited as a subgroup of Ures(L (S 1 )) p. Recall that the topology of Ures is strong operator convergence along with convergence in d(u, v) = [u v, p]. We first observe that L convergence for elements of Ures implies SOT convergence. Since Ures is bounded in norm, it is sufficient to show that L convergence implies pointwise convergence on a dense subset of L (S 1 ). If g L (S 1 ), then we have S 1 f n f g 0 if f n f in L. Thus the topology on Ures is controlled by f H 1/ := n= (1 + n ) c n (f). We define H 1/ (S 1 ) := {f L (S 1 ) : f H 1/ functions on the circle. < }, the Sobolev space of half-differentiable Lemma 5.1. If π i is an irreducible positive energy representation of LG, and X LG is a subset of LG closed under multiplication by unimodular constants, then π i (X) = π i (X), where the closure of X is in the topology of Ures. 4

5 Proof. We saw that π : Ures P U(ΛH p ) was continuous. Observe that if u n are unitary operators on a Hilbert space, and u n u strongly, then u n u n u u strongly (we clear have strong convergence on linear combinations of simple tensors, and since our operators are uniformly bounded in norm this extends to the closure). Hence π l is also a continuous representation, as is π l p for any projection p. In particular, this means that if π i is a positive energy representation on H and g n g in Ures, then we have a sequence of unitaries v n v in U(H) such that π i (u n ) = [v n ] and π i (u) = [v]. The result follows. It remains to prove that L A G is dense in LG in the topology of H 1. Clearly it is sufficient to do this for A = {0}. The next reduction allows us to consider the Lie algebra C (S 1, R) instead of C (S 1, S 1 ). Lemma 5.. Suppose that loops in C (S 1, R) such that f (n) (0) = 0 for n 0 are H 1 dense in C (S 1, R). Then loops in C (S 1, S 1 ) such that g (n) (0) = δ n0 for n 0 are H 1 dense in C (S 1, S 1 ). Proof. Before beginning the proof, we wish to establish that Ures is a topological group in its natural topology. Since Ures is norm bounded and consists of normal operators, both adjoint and multiplication are strongly continuous. Clearly the adjoint is continuous with respect to [u, p], and the simple estimate [uv, p] u(vp pv) + (up pu)v = [v, p] + [u, p] gives that multiplication is jointly continuous. Now fix F C (S 1, S 1 ). Let l be the winding number of F, and let G be an element of C (S 1, S 1 ) whose winding number is l and whose support is bounded away from 0 (say, contained in ( 1, 1)). Now F G has winding number 0. If we can show that F G can be approximated by elements H k C (S 1, S 1 ) such that H (n) k (0) = δ n0, then F can be approximated by H k G by the continuity of multiplication. Thus we will assume without loss of generality that the winding number of F is 0. Using analytic continuation of i log(z), we may construct a map f : S 1 R such that e if(t) = F (t) that is smooth in (, 1). Since F has winding number 0, we in fact have f C (S 1, R). By our hypothesis, we can choose a sequence f n C (S 1, R) such that f n f in H 1 and f n has a zero of infinite order at t = 0. Then the sequence e ifn is in C (S 1, S 1 ), and takes on the value 1 with all derivatives vanishing at t = 0. We now show e ifn e if = F in H 1. H 1 Let h n = f n f, so that h n 0 in H 1. We now invoke an alternate characterization of the norm (for more, see Loop Groups by Pressley and Segal). We have γ(t) H 1 = γ(t) L + γ(t) γ(s) cot ( 1 (t s)). 5

6 Applying the mean value theorem, we get exp(ih n ) H 1 = = h n H 1. exp(ih n (t)) exp(ih n (s)) cot ( 1(t s)) h n (t)) h n (s) cot ( 1(t s)) A similar (but simpler) argument shows that e ihn 1 in L. Thus since h n 0 in H 1, we have e ihn 1 in H 1. Thus e ifn = e ihn e if e if = F by the continuity of multiplication. We now employ Sobolev space techniques to verify the hypothesis of Lemma Intro to Sobolev spaces Our proof that L A G is H 1/ -dense in LG will rely on intermediate steps that involve elements of H 1/ that are neither smooth nor take values in the circle. We will also be using the Sobolev space H 1 (S 1 ), whose norm is given by f H := (1 + n ) c 1 n (f). n= In practice, it is easier to work with H 1, as it can be characterized as the space of weakly differentiable functions whose (weak) derivatives are L functions. However, L A G is not H 1 - dense in LG. First, some basic results. Proposition 5.1. C (S 1 ) is H 1/ -dense in H 1/ (S 1 ). Proof. If f H s, then its Fourier series converges to it in H s. Proposition 5.. If f : S 1 C is piecewise C 1 and continuous, then it is an element of H 1. Proof. Let f (t) be the a.e. defined derivative of f, which we will show is its derivative in the sense of H 1. For simplicity, we will assume that f s only point of discontinuity is at 0. If g C (S 1 ), then f(t)g (t)dt = 0 = 0 = 0 f(t)g (t)dt + 0 f(t)g (t)dt f (t)g(t)dt + f(0 )g(0 ) f( + )g( + ) f (t)g(t)dt + f(1 )g(1 ) f(0 + )g(0 + ) f (t)g(t)dt. 6

7 5. Proof of the main result Proposition 5.3. The set {f C (S 1, R) : f(0) = 0} is H 1/ -dense in LG. Proof. We first show that the linear functional δ 0 on C (S 1 ) is unbounded with respect to the H 1/ norm. Suppose to a contradiction that there is a constant C such that ( ) 1 c n C (1 + n ) c n n= n= for every c n F(H 1/ (S 1 )). This is equivalent to saying that for every (d n ) l (Z) we have 1 d 0 + d n n 0 n C d 0 + ( 1 n + 1) d n n 0 C d n l This would say that the vector v = (v n ) l (Z), where v 0 = 1 and v n = n 1, which is a contradiction. Hence ker δ 0 (thinking of δ 0 defined on smooth functions) must be dense in H 1/, as otherwise we could choose by Hahn-Banach a continuous linear functional on H 1/ that vanished on ker δ 0, which would then restrict to a bounded linear functional on C. We will now approximate loops that vanish at 0 with piecewise smooth loops that vanish in a neighborhood of 0. Proposition 5.4. If f C (S 1, R) with f(0) = 0 is as above, then there is a sequence of piecewise smooth functions f n H 1 (S 1, R) such that f n 0 in some neighborhood of 0, f n f in H 1. Proof. Define f(t) t > δ 0 t < δ f δ (t) = f((t + δ)) δ < t < δ f((t δ)) δ < t < δ This function is piecewise-smooth and continuous, and is thus an element of H 1, with weak derivative given by the piecewise derivatives. Clearly f δ f L + f δ f L 4δ ( f + 3 f ). This shows that f δ f in the H 1 topology as δ 0. Also, f δ f which goes to zero by the uniform continuity of f. sup f(t) f(s) t,s [ δ,δ] We now wish to replace the piecewise smooth functions from the previous proposition with smooth functions that still vanish in some neighborhood of 0. Simply truncating the Fourier series will not preserve this property, so we will use mollifiers. 7

8 5.3 Properties of mollifiers Let η(x) = Ce /(1 x) if x < 1 and η(x) = 0 otherwise. η L 1 Choose the constant C so that = 1. Let η ɛ (x) = ɛ η( x ɛ ). We will use the following basic facts from PDE. Proposition 5.5. If f L (S 1 ), then η ɛ f C (S 1 ) and η ɛ f f in L. If f H 1 (S 1 ), then (η ɛ f) = η ɛ f. Proof. h ((η ɛ f)(x + h) (η ɛ f)(x)) = [ 1 η h ( x + h y ɛ ) η ( x y ɛ )] f(y)dy which converges to (η ɛ ) f by the dominated convergence theorem. Hence η ɛ f is smooth. If f H 1, integration by parts shows that (η ɛ f) = η ɛ f. Proposition 5.6. If f C(S 1 ) H 1 (S 1 ), then η ɛ f f uniformly and in H 1. Proof. Let f ɛ = η ɛ f. First we prove the uniform convergence. We have f ɛ (x) f(x) 1 ɛ ( ) x y η f(y) f(x) dy ɛ ɛ 1 ɛ ɛ ɛ ɛ f(y) f(x) dy which goes to zero uniformly in x by the uniform continuity of f. By the preceding proposition, (η ɛ f) = η ɛ f. We will show that this converges to f in L. First we show that if g L (S 1 ), then g ɛ g. Observe g ɛ (x) = η ɛ (x y)g(y)dy = ( ) 1 ( 1 η ɛ (x y)dy η ɛ (x y) g(y) dy ( ) 1 η ɛ (x y) g(y) dys. Taking two norm and interchanging the integrals gives ( ) g ɛ g(y) η ɛ (x y)dx dy = g Now let h be a continuous function such that h f is very small. We then have f η ɛ f f h + h h η ɛ + (h η ɛ f η ɛ f h + h h η ɛ. By the first half of the proposition, h ɛ h uniformly, which completes the proof. Combining the results of Section 5, we get the desired theorem. Theorem 5.1. If π i is an irreducible positive energy representation of LS 1, then (π i (L A S 1 )) = (π i (LS 1 )). ) 1 8

von Neumann algebras, II 1 factors, and their subfactors V.S. Sunder (IMSc, Chennai)

von Neumann algebras, II 1 factors, and their subfactors V.S. Sunder (IMSc, Chennai) von Neumann algebras, II 1 factors, and their subfactors V.S. Sunder (IMSc, Chennai) Lecture 3 at IIT Mumbai, April 24th, 2007 Finite-dimensional C -algebras: Recall: Definition: A linear functional tr

More information

Finite-dimensional representations of free product C*-algebras

Finite-dimensional representations of free product C*-algebras Finite-dimensional representations of free product C*-algebras Ruy Exel Terry A. Loring October 28, 2008 preliminary version Department of Mathematics and Statistics University of New Mexico Albuquerque,

More information

The second dual of a C*-algebra

The second dual of a C*-algebra The second dual of a C*-algebra The main goal is to expose a short proof of the result of Z Takeda, [Proc Japan Acad 30, (1954), 90 95], that the second dual of a C*-algebra is, in effect, the von Neumann

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

Preliminaries on von Neumann algebras and operator spaces. Magdalena Musat University of Copenhagen. Copenhagen, January 25, 2010

Preliminaries on von Neumann algebras and operator spaces. Magdalena Musat University of Copenhagen. Copenhagen, January 25, 2010 Preliminaries on von Neumann algebras and operator spaces Magdalena Musat University of Copenhagen Copenhagen, January 25, 2010 1 Von Neumann algebras were introduced by John von Neumann in 1929-1930 as

More information

1 Math 241A-B Homework Problem List for F2015 and W2016

1 Math 241A-B Homework Problem List for F2015 and W2016 1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let

More information

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms

08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms (February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops

More information

MAT 578 FUNCTIONAL ANALYSIS EXERCISES

MAT 578 FUNCTIONAL ANALYSIS EXERCISES MAT 578 FUNCTIONAL ANALYSIS EXERCISES JOHN QUIGG Exercise 1. Prove that if A is bounded in a topological vector space, then for every neighborhood V of 0 there exists c > 0 such that tv A for all t > c.

More information

Chapter 8 Integral Operators

Chapter 8 Integral Operators Chapter 8 Integral Operators In our development of metrics, norms, inner products, and operator theory in Chapters 1 7 we only tangentially considered topics that involved the use of Lebesgue measure,

More information

UNBOUNDED OPERATORS ON HILBERT SPACES. Let X and Y be normed linear spaces, and suppose A : X Y is a linear map.

UNBOUNDED OPERATORS ON HILBERT SPACES. Let X and Y be normed linear spaces, and suppose A : X Y is a linear map. UNBOUNDED OPERATORS ON HILBERT SPACES EFTON PARK Let X and Y be normed linear spaces, and suppose A : X Y is a linear map. Define { } Ax A op = sup x : x 0 = { Ax : x 1} = { Ax : x = 1} If A

More information

Topics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem

Topics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem Topics in Representation Theory: Fourier Analysis and the Peter Weyl Theorem 1 Fourier Analysis, a review We ll begin with a short review of simple facts about Fourier analysis, before going on to interpret

More information

Compact operators on Banach spaces

Compact operators on Banach spaces Compact operators on Banach spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto November 12, 2017 1 Introduction In this note I prove several things about compact

More information

Commutative Banach algebras 79

Commutative Banach algebras 79 8. Commutative Banach algebras In this chapter, we analyze commutative Banach algebras in greater detail. So we always assume that xy = yx for all x, y A here. Definition 8.1. Let A be a (commutative)

More information

Economics 204 Fall 2011 Problem Set 2 Suggested Solutions

Economics 204 Fall 2011 Problem Set 2 Suggested Solutions Economics 24 Fall 211 Problem Set 2 Suggested Solutions 1. Determine whether the following sets are open, closed, both or neither under the topology induced by the usual metric. (Hint: think about limit

More information

Extensions of representations of the CAR algebra to the Cuntz algebra O 2 the Fock and the infinite wedge

Extensions of representations of the CAR algebra to the Cuntz algebra O 2 the Fock and the infinite wedge Extensions of representations of the CAR algebra to the Cuntz algebra O 2 the Fock and the infinite wedge Katsunori Kawamura Research Institute for Mathematical Sciences Kyoto University, Kyoto 606-8502,

More information

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C :

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C : TOEPLITZ OPERATORS EFTON PARK 1. Introduction to Toeplitz Operators Otto Toeplitz lived from 1881-1940 in Goettingen, and it was pretty rough there, so he eventually went to Palestine and eventually contracted

More information

ALGEBRAIC GROUPS J. WARNER

ALGEBRAIC GROUPS J. WARNER ALGEBRAIC GROUPS J. WARNER Let k be an algebraically closed field. varieties unless otherwise stated. 1. Definitions and Examples For simplicity we will work strictly with affine Definition 1.1. An algebraic

More information

1.5 Approximate Identities

1.5 Approximate Identities 38 1 The Fourier Transform on L 1 (R) which are dense subspaces of L p (R). On these domains, P : D P L p (R) and M : D M L p (R). Show, however, that P and M are unbounded even when restricted to these

More information

Lecture notes for Mathematics 208 William Arveson. 24 November 1998

Lecture notes for Mathematics 208 William Arveson. 24 November 1998 THE CANONICAL ANTICOMMUTATION RELATIONS Lecture notes for Mathematics 208 William Arveson 24 November 1998 In these notes we discuss the canonical anticommutation relations, the C - algebra associated

More information

Fall f(x)g(x) dx. The starting place for the theory of Fourier series is that the family of functions {e inx } n= is orthonormal, that is

Fall f(x)g(x) dx. The starting place for the theory of Fourier series is that the family of functions {e inx } n= is orthonormal, that is 18.103 Fall 2013 1. Fourier Series, Part 1. We will consider several function spaces during our study of Fourier series. When we talk about L p ((, π)), it will be convenient to include the factor 1/ in

More information

Normed Vector Spaces and Double Duals

Normed Vector Spaces and Double Duals Normed Vector Spaces and Double Duals Mathematics 481/525 In this note we look at a number of infinite-dimensional R-vector spaces that arise in analysis, and we consider their dual and double dual spaces

More information

Introduction to the Baum-Connes conjecture

Introduction to the Baum-Connes conjecture Introduction to the Baum-Connes conjecture Nigel Higson, John Roe PSU NCGOA07 Nigel Higson, John Roe (PSU) Introduction to the Baum-Connes conjecture NCGOA07 1 / 15 History of the BC conjecture Lecture

More information

Notions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy

Notions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy Banach Spaces These notes provide an introduction to Banach spaces, which are complete normed vector spaces. For the purposes of these notes, all vector spaces are assumed to be over the real numbers.

More information

Functional Analysis I

Functional Analysis I Functional Analysis I Course Notes by Stefan Richter Transcribed and Annotated by Gregory Zitelli Polar Decomposition Definition. An operator W B(H) is called a partial isometry if W x = X for all x (ker

More information

A Brief Introduction to Functional Analysis

A Brief Introduction to Functional Analysis A Brief Introduction to Functional Analysis Sungwook Lee Department of Mathematics University of Southern Mississippi sunglee@usm.edu July 5, 2007 Definition 1. An algebra A is a vector space over C with

More information

WELL-POSEDNESS FOR HYPERBOLIC PROBLEMS (0.2)

WELL-POSEDNESS FOR HYPERBOLIC PROBLEMS (0.2) WELL-POSEDNESS FOR HYPERBOLIC PROBLEMS We will use the familiar Hilbert spaces H = L 2 (Ω) and V = H 1 (Ω). We consider the Cauchy problem (.1) c u = ( 2 t c )u = f L 2 ((, T ) Ω) on [, T ] Ω u() = u H

More information

1.3.1 Definition and Basic Properties of Convolution

1.3.1 Definition and Basic Properties of Convolution 1.3 Convolution 15 1.3 Convolution Since L 1 (R) is a Banach space, we know that it has many useful properties. In particular the operations of addition and scalar multiplication are continuous. However,

More information

1. If 1, ω, ω 2, -----, ω 9 are the 10 th roots of unity, then (1 + ω) (1 + ω 2 ) (1 + ω 9 ) is A) 1 B) 1 C) 10 D) 0

1. If 1, ω, ω 2, -----, ω 9 are the 10 th roots of unity, then (1 + ω) (1 + ω 2 ) (1 + ω 9 ) is A) 1 B) 1 C) 10 D) 0 4 INUTES. If, ω, ω, -----, ω 9 are the th roots of unity, then ( + ω) ( + ω ) ----- ( + ω 9 ) is B) D) 5. i If - i = a + ib, then a =, b = B) a =, b = a =, b = D) a =, b= 3. Find the integral values for

More information

Topics in linear algebra

Topics in linear algebra Chapter 6 Topics in linear algebra 6.1 Change of basis I want to remind you of one of the basic ideas in linear algebra: change of basis. Let F be a field, V and W be finite dimensional vector spaces over

More information

REPRESENTATION THEORY WEEK 7

REPRESENTATION THEORY WEEK 7 REPRESENTATION THEORY WEEK 7 1. Characters of L k and S n A character of an irreducible representation of L k is a polynomial function constant on every conjugacy class. Since the set of diagonalizable

More information

W if p = 0; ; W ) if p 1. p times

W if p = 0; ; W ) if p 1. p times Alternating and symmetric multilinear functions. Suppose and W are normed vector spaces. For each integer p we set {0} if p < 0; W if p = 0; ( ; W = L( }... {{... } ; W if p 1. p times We say µ p ( ; W

More information

INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD

INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD () Instanton (definition) (2) ADHM construction (3) Compactification. Instantons.. Notation. Throughout this talk, we will use the following notation:

More information

REPRESENTATIONS OF U(N) CLASSIFICATION BY HIGHEST WEIGHTS NOTES FOR MATH 261, FALL 2001

REPRESENTATIONS OF U(N) CLASSIFICATION BY HIGHEST WEIGHTS NOTES FOR MATH 261, FALL 2001 9 REPRESENTATIONS OF U(N) CLASSIFICATION BY HIGHEST WEIGHTS NOTES FOR MATH 261, FALL 21 ALLEN KNUTSON 1 WEIGHT DIAGRAMS OF -REPRESENTATIONS Let be an -dimensional torus, ie a group isomorphic to The we

More information

SOLUTIONS TO SOME PROBLEMS

SOLUTIONS TO SOME PROBLEMS 23 FUNCTIONAL ANALYSIS Spring 23 SOLUTIONS TO SOME PROBLEMS Warning:These solutions may contain errors!! PREPARED BY SULEYMAN ULUSOY PROBLEM 1. Prove that a necessary and sufficient condition that the

More information

Determinant lines and determinant line bundles

Determinant lines and determinant line bundles CHAPTER Determinant lines and determinant line bundles This appendix is an exposition of G. Segal s work sketched in [?] on determinant line bundles over the moduli spaces of Riemann surfaces with parametrized

More information

Overview of normed linear spaces

Overview of normed linear spaces 20 Chapter 2 Overview of normed linear spaces Starting from this chapter, we begin examining linear spaces with at least one extra structure (topology or geometry). We assume linearity; this is a natural

More information

FUNCTIONAL ANALYSIS LECTURE NOTES: WEAK AND WEAK* CONVERGENCE

FUNCTIONAL ANALYSIS LECTURE NOTES: WEAK AND WEAK* CONVERGENCE FUNCTIONAL ANALYSIS LECTURE NOTES: WEAK AND WEAK* CONVERGENCE CHRISTOPHER HEIL 1. Weak and Weak* Convergence of Vectors Definition 1.1. Let X be a normed linear space, and let x n, x X. a. We say that

More information

Lemma 1.3. The element [X, X] is nonzero.

Lemma 1.3. The element [X, X] is nonzero. Math 210C. The remarkable SU(2) Let G be a non-commutative connected compact Lie group, and assume that its rank (i.e., dimension of maximal tori) is 1; equivalently, G is a compact connected Lie group

More information

MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY

MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY 0.1. Vector Bundles and Connection 1-forms. Let E X be a complex vector bundle of rank r over a smooth manifold. Recall the following abstract

More information

Real Analysis Notes. Thomas Goller

Real Analysis Notes. Thomas Goller Real Analysis Notes Thomas Goller September 4, 2011 Contents 1 Abstract Measure Spaces 2 1.1 Basic Definitions........................... 2 1.2 Measurable Functions........................ 2 1.3 Integration..............................

More information

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space 1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization

More information

7 Lecture 7: Rational domains, Tate rings and analytic points

7 Lecture 7: Rational domains, Tate rings and analytic points 7 Lecture 7: Rational domains, Tate rings and analytic points 7.1 Introduction The aim of this lecture is to topologize localizations of Huber rings, and prove some of their properties. We will discuss

More information

McGill University Department of Mathematics and Statistics. Ph.D. preliminary examination, PART A. PURE AND APPLIED MATHEMATICS Paper BETA

McGill University Department of Mathematics and Statistics. Ph.D. preliminary examination, PART A. PURE AND APPLIED MATHEMATICS Paper BETA McGill University Department of Mathematics and Statistics Ph.D. preliminary examination, PART A PURE AND APPLIED MATHEMATICS Paper BETA 17 August, 2018 1:00 p.m. - 5:00 p.m. INSTRUCTIONS: (i) This paper

More information

Spectral Continuity Properties of Graph Laplacians

Spectral Continuity Properties of Graph Laplacians Spectral Continuity Properties of Graph Laplacians David Jekel May 24, 2017 Overview Spectral invariants of the graph Laplacian depend continuously on the graph. We consider triples (G, x, T ), where G

More information

On the classification and modular extendability of E 0 -semigroups on factors Joint work with Daniel Markiewicz

On the classification and modular extendability of E 0 -semigroups on factors Joint work with Daniel Markiewicz On the classification and modular extendability of E 0 -semigroups on factors Joint work with Daniel Markiewicz Panchugopal Bikram Ben-Gurion University of the Nagev Beer Sheva, Israel pg.math@gmail.com

More information

On representations of finite type

On representations of finite type Proc. Natl. Acad. Sci. USA Vol. 95, pp. 13392 13396, November 1998 Mathematics On representations of finite type Richard V. Kadison Mathematics Department, University of Pennsylvania, Philadelphia, PA

More information

Spectral theory for compact operators on Banach spaces

Spectral theory for compact operators on Banach spaces 68 Chapter 9 Spectral theory for compact operators on Banach spaces Recall that a subset S of a metric space X is precompact if its closure is compact, or equivalently every sequence contains a Cauchy

More information

Algebraic Topology. Oscar Randal-Williams. or257/teaching/notes/at.pdf

Algebraic Topology. Oscar Randal-Williams.   or257/teaching/notes/at.pdf Algebraic Topology Oscar Randal-Williams https://www.dpmms.cam.ac.uk/ or257/teaching/notes/at.pdf 1 Introduction 1 1.1 Some recollections and conventions...................... 2 1.2 Cell complexes.................................

More information

Connectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ).

Connectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ). Connectedness 1 Motivation Connectedness is the sort of topological property that students love. Its definition is intuitive and easy to understand, and it is a powerful tool in proofs of well-known results.

More information

Functional Analysis Exercise Class

Functional Analysis Exercise Class Functional Analysis Exercise Class Week 2 November 6 November Deadline to hand in the homeworks: your exercise class on week 9 November 13 November Exercises (1) Let X be the following space of piecewise

More information

V (v i + W i ) (v i + W i ) is path-connected and hence is connected.

V (v i + W i ) (v i + W i ) is path-connected and hence is connected. Math 396. Connectedness of hyperplane complements Note that the complement of a point in R is disconnected and the complement of a (translated) line in R 2 is disconnected. Quite generally, we claim that

More information

Hungry, Hungry Homology

Hungry, Hungry Homology September 27, 2017 Motiving Problem: Algebra Problem (Preliminary Version) Given two groups A, C, does there exist a group E so that A E and E /A = C? If such an group exists, we call E an extension of

More information

COMPLEX ANALYSIS Spring 2014

COMPLEX ANALYSIS Spring 2014 COMPLEX ANALYSIS Spring 2014 1 Preliminaries Homotopical topics Our textbook slides over a little problem when discussing homotopy. The standard definition of homotopy is for not necessarily piecewise

More information

THE HODGE DECOMPOSITION

THE HODGE DECOMPOSITION THE HODGE DECOMPOSITION KELLER VANDEBOGERT 1. The Musical Isomorphisms and induced metrics Given a smooth Riemannian manifold (X, g), T X will denote the tangent bundle; T X the cotangent bundle. The additional

More information

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3 Index Page 1 Topology 2 1.1 Definition of a topology 2 1.2 Basis (Base) of a topology 2 1.3 The subspace topology & the product topology on X Y 3 1.4 Basic topology concepts: limit points, closed sets,

More information

SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT

SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT Abstract. These are the letcure notes prepared for the workshop on Functional Analysis and Operator Algebras to be held at NIT-Karnataka,

More information

Peter Hochs. Strings JC, 11 June, C -algebras and K-theory. Peter Hochs. Introduction. C -algebras. Group. C -algebras.

Peter Hochs. Strings JC, 11 June, C -algebras and K-theory. Peter Hochs. Introduction. C -algebras. Group. C -algebras. and of and Strings JC, 11 June, 2013 and of 1 2 3 4 5 of and of and Idea of 1 Study locally compact Hausdorff topological spaces through their algebras of continuous functions. The product on this algebra

More information

Math 210B: Algebra, Homework 4

Math 210B: Algebra, Homework 4 Math 210B: Algebra, Homework 4 Ian Coley February 5, 2014 Problem 1. Let S be a multiplicative subset in a commutative ring R. Show that the localisation functor R-Mod S 1 R-Mod, M S 1 M, is exact. First,

More information

Real Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis

Real Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis Real Analysis, 2nd Edition, G.B.Folland Chapter 5 Elements of Functional Analysis Yung-Hsiang Huang 5.1 Normed Vector Spaces 1. Note for any x, y X and a, b K, x+y x + y and by ax b y x + b a x. 2. It

More information

THE CENTRAL EXTENSION OF LG, POSITIVE ENERGY REPRESENTATIONS, LIE ALGEBRA COCYCLES

THE CENTRAL EXTENSION OF LG, POSITIVE ENERGY REPRESENTATIONS, LIE ALGEBRA COCYCLES THE CENTRAL EXTENSION OF LG, POSITIVE ENERGY REPRESENTATIONS, LIE ALGEBRA COCYCLES SPEAKER: OWEN GWILLIAM TYPIST: CORBETT REDDEN Abstract. Notes from the Conformal Field Theory and Operator Algebras workshop,

More information

Chapter 2 Linear Transformations

Chapter 2 Linear Transformations Chapter 2 Linear Transformations Linear Transformations Loosely speaking, a linear transformation is a function from one vector space to another that preserves the vector space operations. Let us be more

More information

Lecture 5: Hodge theorem

Lecture 5: Hodge theorem Lecture 5: Hodge theorem Jonathan Evans 4th October 2010 Jonathan Evans () Lecture 5: Hodge theorem 4th October 2010 1 / 15 Jonathan Evans () Lecture 5: Hodge theorem 4th October 2010 2 / 15 The aim of

More information

The Unitary Group In Its Strong Topology

The Unitary Group In Its Strong Topology The Unitary Group In Its Strong Topology Martin Schottenloher Mathematisches Institut LMU München Theresienstr. 39, 80333 München schotten@math.lmu.de, +49 89 21804435 Abstract. The unitary group U(H)

More information

Math Solutions to homework 5

Math Solutions to homework 5 Math 75 - Solutions to homework 5 Cédric De Groote November 9, 207 Problem (7. in the book): Let {e n } be a complete orthonormal sequence in a Hilbert space H and let λ n C for n N. Show that there is

More information

Measurable functions are approximately nice, even if look terrible.

Measurable functions are approximately nice, even if look terrible. Tel Aviv University, 2015 Functions of real variables 74 7 Approximation 7a A terrible integrable function........... 74 7b Approximation of sets................ 76 7c Approximation of functions............

More information

LECTURE 16: TENSOR PRODUCTS

LECTURE 16: TENSOR PRODUCTS LECTURE 16: TENSOR PRODUCTS We address an aesthetic concern raised by bilinear forms: the source of a bilinear function is not a vector space. When doing linear algebra, we want to be able to bring all

More information

Sobolev spaces. May 18

Sobolev spaces. May 18 Sobolev spaces May 18 2015 1 Weak derivatives The purpose of these notes is to give a very basic introduction to Sobolev spaces. More extensive treatments can e.g. be found in the classical references

More information

Part III. 10 Topological Space Basics. Topological Spaces

Part III. 10 Topological Space Basics. Topological Spaces Part III 10 Topological Space Basics Topological Spaces Using the metric space results above as motivation we will axiomatize the notion of being an open set to more general settings. Definition 10.1.

More information

Math 210B. Artin Rees and completions

Math 210B. Artin Rees and completions Math 210B. Artin Rees and completions 1. Definitions and an example Let A be a ring, I an ideal, and M an A-module. In class we defined the I-adic completion of M to be M = lim M/I n M. We will soon show

More information

Deligne s Mixed Hodge Structure for Projective Varieties with only Normal Crossing Singularities

Deligne s Mixed Hodge Structure for Projective Varieties with only Normal Crossing Singularities Deligne s Mixed Hodge Structure for Projective Varieties with only Normal Crossing Singularities B.F Jones April 13, 2005 Abstract Following the survey article by Griffiths and Schmid, I ll talk about

More information

REAL AND COMPLEX ANALYSIS

REAL AND COMPLEX ANALYSIS REAL AND COMPLE ANALYSIS Third Edition Walter Rudin Professor of Mathematics University of Wisconsin, Madison Version 1.1 No rights reserved. Any part of this work can be reproduced or transmitted in any

More information

l(y j ) = 0 for all y j (1)

l(y j ) = 0 for all y j (1) Problem 1. The closed linear span of a subset {y j } of a normed vector space is defined as the intersection of all closed subspaces containing all y j and thus the smallest such subspace. 1 Show that

More information

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

An Outline of Homology Theory

An Outline of Homology Theory An Outline of Homology Theory Stephen A. Mitchell June 1997, revised October 2001 Note: These notes contain few examples and even fewer proofs. They are intended only as an outline, to be supplemented

More information

4 Hilbert spaces. The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan

4 Hilbert spaces. The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan The proof of the Hilbert basis theorem is not mathematics, it is theology. Camille Jordan Wir müssen wissen, wir werden wissen. David Hilbert We now continue to study a special class of Banach spaces,

More information

Short note on compact operators - Monday 24 th March, Sylvester Eriksson-Bique

Short note on compact operators - Monday 24 th March, Sylvester Eriksson-Bique Short note on compact operators - Monday 24 th March, 2014 Sylvester Eriksson-Bique 1 Introduction In this note I will give a short outline about the structure theory of compact operators. I restrict attention

More information

Almost periodic functionals

Almost periodic functionals Almost periodic functionals Matthew Daws Leeds Warsaw, July 2013 Matthew Daws (Leeds) Almost periodic functionals Warsaw, July 2013 1 / 22 Dual Banach algebras; personal history A Banach algebra A Banach

More information

Math 123 Homework Assignment #2 Due Monday, April 21, 2008

Math 123 Homework Assignment #2 Due Monday, April 21, 2008 Math 123 Homework Assignment #2 Due Monday, April 21, 2008 Part I: 1. Suppose that A is a C -algebra. (a) Suppose that e A satisfies xe = x for all x A. Show that e = e and that e = 1. Conclude that e

More information

CHAPTER V DUAL SPACES

CHAPTER V DUAL SPACES CHAPTER V DUAL SPACES DEFINITION Let (X, T ) be a (real) locally convex topological vector space. By the dual space X, or (X, T ), of X we mean the set of all continuous linear functionals on X. By the

More information

Injective semigroup-algebras

Injective semigroup-algebras Injective semigroup-algebras J. J. Green June 5, 2002 Abstract Semigroups S for which the Banach algebra l (S) is injective are investigated and an application to the work of O. Yu. Aristov is described.

More information

Introduction to Index Theory. Elmar Schrohe Institut für Analysis

Introduction to Index Theory. Elmar Schrohe Institut für Analysis Introduction to Index Theory Elmar Schrohe Institut für Analysis Basics Background In analysis and pde, you want to solve equations. In good cases: Linearize, end up with Au = f, where A L(E, F ) is a

More information

Lecture 4: Fourier Transforms.

Lecture 4: Fourier Transforms. 1 Definition. Lecture 4: Fourier Transforms. We now come to Fourier transforms, which we give in the form of a definition. First we define the spaces L 1 () and L 2 (). Definition 1.1 The space L 1 ()

More information

Non-separable AF-algebras

Non-separable AF-algebras Non-separable AF-algebras Takeshi Katsura Department of Mathematics, Hokkaido University, Kita 1, Nishi 8, Kita-Ku, Sapporo, 6-81, JAPAN katsura@math.sci.hokudai.ac.jp Summary. We give two pathological

More information

Since G is a compact Lie group, we can apply Schur orthogonality to see that G χ π (g) 2 dg =

Since G is a compact Lie group, we can apply Schur orthogonality to see that G χ π (g) 2 dg = Problem 1 Show that if π is an irreducible representation of a compact lie group G then π is also irreducible. Give an example of a G and π such that π = π, and another for which π π. Is this true for

More information

Spectral Measures, the Spectral Theorem, and Ergodic Theory

Spectral Measures, the Spectral Theorem, and Ergodic Theory Spectral Measures, the Spectral Theorem, and Ergodic Theory Sam Ziegler The spectral theorem for unitary operators The presentation given here largely follows [4]. will refer to the unit circle throughout.

More information

ON SPACE-FILLING CURVES AND THE HAHN-MAZURKIEWICZ THEOREM

ON SPACE-FILLING CURVES AND THE HAHN-MAZURKIEWICZ THEOREM ON SPACE-FILLING CURVES AND THE HAHN-MAZURKIEWICZ THEOREM ALEXANDER KUPERS Abstract. These are notes on space-filling curves, looking at a few examples and proving the Hahn-Mazurkiewicz theorem. This theorem

More information

Dynamical entropy for Bogoliubov actions of torsion-free abelian groups on the CAR-algebra

Dynamical entropy for Bogoliubov actions of torsion-free abelian groups on the CAR-algebra Dynamical entropy for Bogoliubov actions of torsion-free abelian groups on the CAR-algebra Valentin Ya. Golodets Sergey V. Neshveyev Abstract We compute dynamical entropy in Connes, Narnhofer and Thirring

More information

LECTURE 15: COMPLETENESS AND CONVEXITY

LECTURE 15: COMPLETENESS AND CONVEXITY LECTURE 15: COMPLETENESS AND CONVEXITY 1. The Hopf-Rinow Theorem Recall that a Riemannian manifold (M, g) is called geodesically complete if the maximal defining interval of any geodesic is R. On the other

More information

ON NEARLY SEMIFREE CIRCLE ACTIONS

ON NEARLY SEMIFREE CIRCLE ACTIONS ON NEARLY SEMIFREE CIRCLE ACTIONS DUSA MCDUFF AND SUSAN TOLMAN Abstract. Recall that an effective circle action is semifree if the stabilizer subgroup of each point is connected. We show that if (M, ω)

More information

Functional Analysis F3/F4/NVP (2005) Homework assignment 2

Functional Analysis F3/F4/NVP (2005) Homework assignment 2 Functional Analysis F3/F4/NVP (25) Homework assignment 2 All students should solve the following problems:. Section 2.7: Problem 8. 2. Let x (t) = t 2 e t/2, x 2 (t) = te t/2 and x 3 (t) = e t/2. Orthonormalize

More information

C.6 Adjoints for Operators on Hilbert Spaces

C.6 Adjoints for Operators on Hilbert Spaces C.6 Adjoints for Operators on Hilbert Spaces 317 Additional Problems C.11. Let E R be measurable. Given 1 p and a measurable weight function w: E (0, ), the weighted L p space L p s (R) consists of all

More information

OPERATOR THEORY ON HILBERT SPACE. Class notes. John Petrovic

OPERATOR THEORY ON HILBERT SPACE. Class notes. John Petrovic OPERATOR THEORY ON HILBERT SPACE Class notes John Petrovic Contents Chapter 1. Hilbert space 1 1.1. Definition and Properties 1 1.2. Orthogonality 3 1.3. Subspaces 7 1.4. Weak topology 9 Chapter 2. Operators

More information

Theorem 5.3. Let E/F, E = F (u), be a simple field extension. Then u is algebraic if and only if E/F is finite. In this case, [E : F ] = deg f u.

Theorem 5.3. Let E/F, E = F (u), be a simple field extension. Then u is algebraic if and only if E/F is finite. In this case, [E : F ] = deg f u. 5. Fields 5.1. Field extensions. Let F E be a subfield of the field E. We also describe this situation by saying that E is an extension field of F, and we write E/F to express this fact. If E/F is a field

More information

ELEMENTARY SUBALGEBRAS OF RESTRICTED LIE ALGEBRAS

ELEMENTARY SUBALGEBRAS OF RESTRICTED LIE ALGEBRAS ELEMENTARY SUBALGEBRAS OF RESTRICTED LIE ALGEBRAS J. WARNER SUMMARY OF A PAPER BY J. CARLSON, E. FRIEDLANDER, AND J. PEVTSOVA, AND FURTHER OBSERVATIONS 1. The Nullcone and Restricted Nullcone We will need

More information

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous:

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous: MATH 51H Section 4 October 16, 2015 1 Continuity Recall what it means for a function between metric spaces to be continuous: Definition. Let (X, d X ), (Y, d Y ) be metric spaces. A function f : X Y is

More information

CHAPTER VIII HILBERT SPACES

CHAPTER VIII HILBERT SPACES CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)

More information

Lattice Theory Lecture 4. Non-distributive lattices

Lattice Theory Lecture 4. Non-distributive lattices Lattice Theory Lecture 4 Non-distributive lattices John Harding New Mexico State University www.math.nmsu.edu/ JohnHarding.html jharding@nmsu.edu Toulouse, July 2017 Introduction Here we mostly consider

More information

Stone-Čech compactification of Tychonoff spaces

Stone-Čech compactification of Tychonoff spaces The Stone-Čech compactification of Tychonoff spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto June 27, 2014 1 Completely regular spaces and Tychonoff spaces A topological

More information

MAT 445/ INTRODUCTION TO REPRESENTATION THEORY

MAT 445/ INTRODUCTION TO REPRESENTATION THEORY MAT 445/1196 - INTRODUCTION TO REPRESENTATION THEORY CHAPTER 1 Representation Theory of Groups - Algebraic Foundations 1.1 Basic definitions, Schur s Lemma 1.2 Tensor products 1.3 Unitary representations

More information

Notes for Functional Analysis

Notes for Functional Analysis Notes for Functional Analysis Wang Zuoqin (typed by Xiyu Zhai) September 29, 2015 1 Lecture 09 1.1 Equicontinuity First let s recall the conception of equicontinuity for family of functions that we learned

More information