Many Body Quantum Mechanics
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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. -
L2-Theory of Semiclassical Psdos: Hilbert-Schmidt And
2 LECTURE 13: L -THEORY OF SEMICLASSICAL PSDOS: HILBERT-SCHMIDT AND TRACE CLASS OPERATORS In today's lecture we start with some abstract properties of Hilbert-Schmidt operators and trace class operators. Then we will investigate the following natural t questions: for which class of symbols, the quantized operator Op~(a) is a Hilbert- Schmidt or trace class operator? How to compute its trace? 1. Hilbert-Schmidt and Trace class operators: Abstract theory { Definitions via singular values. As we have mentioned last time, we are aiming at developing the spectral theory for semiclassical pseudodifferential operators. For a 2 S(m), where m is a decaying t 2 n symbol, we showed that Op~(a) is a compact operator acting on L (R ). As a t consequence, either Op~(a) has only finitely many nonzero eigenvalues, or it has infinitely nonzero eigenvalues which can be arranged to a sequence whose norms converges to 0. However, in general the eigenvalues of a compact operator A are non-real. A very simple way to get real eigenvalues is to consider the operator A∗A, which is 1 a compact self-adjoint linear operator acting on L2(Rn). Thus the eigenvalues of A∗A can be list2 in decreasing order as 2 2 2 s1 ≥ s2 ≥ s3 ≥ · · · : The numbers sj (which will always be taken to be the positive one) are called the singular values of A. Definition 1.1. We say a compact operator3 A is a Hilbert-Schmidt operator if !1=2 X 2 (1) kAkHS := sj < +1: j The number kAkHS is called the Hilbert-Schmidt norm (or Schatten 2-norm) of A. -
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. -
The Spectral Theorem for Self-Adjoint and Unitary Operators Michael Taylor Contents 1. Introduction 2. Functions of a Self-Adjoi
The Spectral Theorem for Self-Adjoint and Unitary Operators Michael Taylor Contents 1. Introduction 2. Functions of a self-adjoint operator 3. Spectral theorem for bounded self-adjoint operators 4. Functions of unitary operators 5. Spectral theorem for unitary operators 6. Alternative approach 7. From Theorem 1.2 to Theorem 1.1 A. Spectral projections B. Unbounded self-adjoint operators C. Von Neumann's mean ergodic theorem 1 2 1. Introduction If H is a Hilbert space, a bounded linear operator A : H ! H (A 2 L(H)) has an adjoint A∗ : H ! H defined by (1.1) (Au; v) = (u; A∗v); u; v 2 H: We say A is self-adjoint if A = A∗. We say U 2 L(H) is unitary if U ∗ = U −1. More generally, if H is another Hilbert space, we say Φ 2 L(H; H) is unitary provided Φ is one-to-one and onto, and (Φu; Φv)H = (u; v)H , for all u; v 2 H. If dim H = n < 1, each self-adjoint A 2 L(H) has the property that H has an orthonormal basis of eigenvectors of A. The same holds for each unitary U 2 L(H). Proofs can be found in xx11{12, Chapter 2, of [T3]. Here, we aim to prove the following infinite dimensional variant of such a result, called the Spectral Theorem. Theorem 1.1. If A 2 L(H) is self-adjoint, there exists a measure space (X; F; µ), a unitary map Φ: H ! L2(X; µ), and a 2 L1(X; µ), such that (1.2) ΦAΦ−1f(x) = a(x)f(x); 8 f 2 L2(X; µ): Here, a is real valued, and kakL1 = kAk. -
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.......................................... -
Linear Operators
C H A P T E R 10 Linear Operators Recall that a linear transformation T ∞ L(V) of a vector space into itself is called a (linear) operator. In this chapter we shall elaborate somewhat on the theory of operators. In so doing, we will define several important types of operators, and we will also prove some important diagonalization theorems. Much of this material is directly useful in physics and engineering as well as in mathematics. While some of this chapter overlaps with Chapter 8, we assume that the reader has studied at least Section 8.1. 10.1 LINEAR FUNCTIONALS AND ADJOINTS Recall that in Theorem 9.3 we showed that for a finite-dimensional real inner product space V, the mapping u ’ Lu = Óu, Ô was an isomorphism of V onto V*. This mapping had the property that Lauv = Óau, vÔ = aÓu, vÔ = aLuv, and hence Lau = aLu for all u ∞ V and a ∞ ®. However, if V is a complex space with a Hermitian inner product, then Lauv = Óau, vÔ = a*Óu, vÔ = a*Luv, and hence Lau = a*Lu which is not even linear (this was the definition of an anti- linear (or conjugate linear) transformation given in Section 9.2). Fortunately, there is a closely related result that holds even for complex vector spaces. Let V be finite-dimensional over ç, and assume that V has an inner prod- uct Ó , Ô defined on it (this is just a positive definite Hermitian form on V). Thus for any X, Y ∞ V we have ÓX, YÔ ∞ ç. -
Preduals for Spaces of Operators Involving Hilbert Spaces and Trace
PREDUALS FOR SPACES OF OPERATORS INVOLVING HILBERT SPACES AND TRACE-CLASS OPERATORS HANNES THIEL Abstract. Continuing the study of preduals of spaces L(H,Y ) of bounded, linear maps, we consider the situation that H is a Hilbert space. We establish a natural correspondence between isometric preduals of L(H,Y ) and isometric preduals of Y . The main ingredient is a Tomiyama-type result which shows that every contractive projection that complements L(H,Y ) in its bidual is automatically a right L(H)-module map. As an application, we show that isometric preduals of L(S1), the algebra of operators on the space of trace-class operators, correspond to isometric preduals of S1 itself (and there is an abundance of them). On the other hand, the compact operators are the unique predual of S1 making its multiplication separately weak∗ continuous. 1. Introduction An isometric predual of a Banach space X is a Banach space F together with an isometric isomorphism X =∼ F ∗. Every predual induces a weak∗ topology. Due to the importance of weak∗ topologies, it is interesting to study the existence and uniqueness of preduals; see the survey [God89] and the references therein. Given Banach spaces X and Y , let L(X, Y ) denote the space of operators from X to Y . Every isometric predual of Y induces an isometric predual of L(X, Y ): If Y =∼ F ∗, then L(X, Y ) =∼ (X⊗ˆ F )∗. Problem 1.1. Find conditions on X and Y guaranteeing that every isometric predual of L(X, Y ) is induced from an isometric predual of Y . -
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. -
On Lifting of Operators to Hilbert Spaces Induced by Positive Selfadjoint Operators
View metadata, citation and similar papers at core.ac.uk brought to you by CORE J. Math. Anal. Appl. 304 (2005) 584–598 provided by Elsevier - Publisher Connector www.elsevier.com/locate/jmaa On lifting of operators to Hilbert spaces induced by positive selfadjoint operators Petru Cojuhari a, Aurelian Gheondea b,c,∗ a Department of Applied Mathematics, AGH University of Science and Technology, Al. Mickievicza 30, 30-059 Cracow, Poland b Department of Mathematics, Bilkent University, 06800 Bilkent, Ankara, Turkey c Institutul de Matematic˘a al Academiei Române, C.P. 1-764, 70700 Bucure¸sti, Romania Received 10 May 2004 Available online 29 January 2005 Submitted by F. Gesztesy Abstract We introduce the notion of induced Hilbert spaces for positive unbounded operators and show that the energy spaces associated to several classical boundary value problems for partial differential operators are relevant examples of this type. The main result is a generalization of the Krein–Reid lifting theorem to this unbounded case and we indicate how it provides estimates of the spectra of operators with respect to energy spaces. 2004 Elsevier Inc. All rights reserved. Keywords: Energy space; Induced Hilbert space; Lifting of operators; Boundary value problems; Spectrum 1. Introduction One of the central problem in spectral theory refers to the estimation of the spectra of linear operators associated to different partial differential equations. Depending on the specific problem that is considered, we have to choose a certain space of functions, among * Corresponding author. E-mail addresses: [email protected] (P. Cojuhari), [email protected], [email protected] (A. -
216 Section 6.1 Chapter 6 Hermitian, Orthogonal, And
216 SECTION 6.1 CHAPTER 6 HERMITIAN, ORTHOGONAL, AND UNITARY OPERATORS In Chapter 4, we saw advantages in using bases consisting of eigenvectors of linear opera- tors in a number of applications. Chapter 5 illustrated the benefit of orthonormal bases. Unfortunately, eigenvectors of linear operators are not usually orthogonal, and vectors in an orthonormal basis are not likely to be eigenvectors of any pertinent linear operator. There are operators, however, for which eigenvectors are orthogonal, and hence it is possible to have a basis that is simultaneously orthonormal and consists of eigenvectors. This chapter introduces some of these operators. 6.1 Hermitian Operators § When the basis for an n-dimensional real, inner product space is orthonormal, the inner product of two vectors u and v can be calculated with formula 5.48. If v not only represents a vector, but also denotes its representation as a column matrix, we can write the inner product as the product of two matrices, one a row matrix and the other a column matrix, (u, v) = uT v. If A is an n n real matrix, the inner product of u and the vector Av is × (u, Av) = uT (Av) = (uT A)v = (AT u)T v = (AT u, v). (6.1) This result, (u, Av) = (AT u, v), (6.2) allows us to move the matrix A from the second term to the first term in the inner product, but it must be replaced by its transpose AT . A similar result can be derived for complex, inner product spaces. When A is a complex matrix, we can use equation 5.50 to write T T T (u, Av) = uT (Av) = (uT A)v = (AT u)T v = A u v = (A u, v). -
Positive Forms on Banach Spaces
POSITIVE FORMS ON BANACH SPACES B´alint Farkas, M´at´eMatolcsi 25th June 2001 Abstract The first representation theorem establishes a correspondence between positive, self-adjoint operators and closed, positive forms on Hilbert spaces. The aim of this paper is to show that some of the results remain true if the underlying space is a reflexive Banach space. In particular, the construc- tion of the Friedrichs extension and the form sum of positive operators can be carried over to this case. 1 Introduction Let X denote a reflexive complex Banach space, and X∗ its conjugate dual space (i.e. the space of all continuous, conjugate linear functionals over X). We will use the notation (v, x) := v(x) for v X∗ , x X, and (x, v) := v(x). Let A be a densely defined linear operator from∈ X to ∈X∗. Notice that in this context it makes sense to speak about positivity and self-adjointness of A. Indeed, A defines a sesquilinear form on Dom A Dom A via t (x, y) = (Ax)(y) = (Ax, y) × A and A is called positive if tA is positive, i.e. if (Ax, x) 0 for all x Dom A. Also, the adjoint A∗ of A is defined (because A is densely≥ defined)∈ and is a mapping from X∗∗ to X∗, i.e. from X to X∗. Thus, A is called self-adjoint ∗ if A = A . Similarly, the operator A is called symmetric if the form tA is symmetric. In Section 2 we deal with closed, positive forms and associated operators, and arXiv:math/0612015v1 [math.FA] 1 Dec 2006 we establish a generalized version of the first representation theorem. -
Complex Inner Product Spaces
Complex Inner Product Spaces A vector space V over the field C of complex numbers is called a (complex) inner product space if it is equipped with a pairing h, i : V × V → C which has the following properties: 1. (Sesqui-symmetry) For every v, w in V we have hw, vi = hv, wi. 2. (Linearity) For every u, v, w in V and a in C we have langleau + v, wi = ahu, wi + hv, wi. 3. (Positive definite-ness) For every v in V , we have hv, vi ≥ 0. Moreover, if hv, vi = 0, the v must be 0. Sometimes the third condition is replaced by the following weaker condition: 3’. (Non-degeneracy) For every v in V , there is a w in V so that hv, wi 6= 0. We will generally work with the stronger condition of positive definite-ness as is conventional. A basis f1, f2,... of V is called orthogonal if hfi, fji = 0 if i < j. An orthogonal basis of V is called an orthonormal (or unitary) basis if, in addition hfi, fii = 1. Given a linear transformation A : V → V and another linear transformation B : V → V , we say that B is the adjoint of A, if for all v, w in V , we have hAv, wi = hv, Bwi. By sesqui-symmetry we see that A is then the adjoint of B as well. Moreover, by positive definite-ness, we see that if A has an adjoint B, then this adjoint is unique. Note that, when V is infinite dimensional, we may not be able to find an adjoint for A! In case it does exist it is denoted as A∗.