Unbounded Operators and the Incompleteness of Quantum Mechanics
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The Notion of Observable and the Moment Problem for ∗-Algebras and Their GNS Representations
The notion of observable and the moment problem for ∗-algebras and their GNS representations Nicol`oDragoa, Valter Morettib Department of Mathematics, University of Trento, and INFN-TIFPA via Sommarive 14, I-38123 Povo (Trento), Italy. [email protected], [email protected] February, 17, 2020 Abstract We address some usually overlooked issues concerning the use of ∗-algebras in quantum theory and their physical interpretation. If A is a ∗-algebra describing a quantum system and ! : A ! C a state, we focus in particular on the interpretation of !(a) as expectation value for an algebraic observable a = a∗ 2 A, studying the problem of finding a probability n measure reproducing the moments f!(a )gn2N. This problem enjoys a close relation with the selfadjointness of the (in general only symmetric) operator π!(a) in the GNS representation of ! and thus it has important consequences for the interpretation of a as an observable. We n provide physical examples (also from QFT) where the moment problem for f!(a )gn2N does not admit a unique solution. To reduce this ambiguity, we consider the moment problem n ∗ (a) for the sequences f!b(a )gn2N, being b 2 A and !b(·) := !(b · b). Letting µ!b be a n solution of the moment problem for the sequence f!b(a )gn2N, we introduce a consistency (a) relation on the family fµ!b gb2A. We prove a 1-1 correspondence between consistent families (a) fµ!b gb2A and positive operator-valued measures (POVM) associated with the symmetric (a) operator π!(a). In particular there exists a unique consistent family of fµ!b gb2A if and only if π!(a) is maximally symmetric. -
Riesz-Like Bases in Rigged Hilbert Spaces, in Preparation [14] Bonet, J., Fern´Andez, C., Galbis, A
RIESZ-LIKE BASES IN RIGGED HILBERT SPACES GIORGIA BELLOMONTE AND CAMILLO TRAPANI Abstract. The notions of Bessel sequence, Riesz-Fischer sequence and Riesz basis are generalized to a rigged Hilbert space D[t] ⊂H⊂D×[t×]. A Riesz- like basis, in particular, is obtained by considering a sequence {ξn}⊂D which is mapped by a one-to-one continuous operator T : D[t] → H[k · k] into an orthonormal basis of the central Hilbert space H of the triplet. The operator T is, in general, an unbounded operator in H. If T has a bounded inverse then the rigged Hilbert space is shown to be equivalent to a triplet of Hilbert spaces. 1. Introduction Riesz bases (i.e., sequences of elements ξn of a Hilbert space which are trans- formed into orthonormal bases by some bounded{ } operator withH bounded inverse) often appear as eigenvectors of nonself-adjoint operators. The simplest situation is the following one. Let H be a self-adjoint operator with discrete spectrum defined on a subset D(H) of the Hilbert space . Assume, to be more definite, that each H eigenvalue λn is simple. Then the corresponding eigenvectors en constitute an orthonormal basis of . If X is another operator similar to H,{ i.e.,} there exists a bounded operator T withH bounded inverse T −1 which intertwines X and H, in the sense that T : D(H) D(X) and XT ξ = T Hξ, for every ξ D(H), then, as it is → ∈ easily seen, the vectors ϕn with ϕn = Ten are eigenvectors of X and constitute a Riesz basis for . -
Mathematical Work of Franciszek Hugon Szafraniec and Its Impacts
Tusi Advances in Operator Theory (2020) 5:1297–1313 Mathematical Research https://doi.org/10.1007/s43036-020-00089-z(0123456789().,-volV)(0123456789().,-volV) Group ORIGINAL PAPER Mathematical work of Franciszek Hugon Szafraniec and its impacts 1 2 3 Rau´ l E. Curto • Jean-Pierre Gazeau • Andrzej Horzela • 4 5,6 7 Mohammad Sal Moslehian • Mihai Putinar • Konrad Schmu¨ dgen • 8 9 Henk de Snoo • Jan Stochel Received: 15 May 2020 / Accepted: 19 May 2020 / Published online: 8 June 2020 Ó The Author(s) 2020 Abstract In this essay, we present an overview of some important mathematical works of Professor Franciszek Hugon Szafraniec and a survey of his achievements and influence. Keywords Szafraniec Á Mathematical work Á Biography Mathematics Subject Classification 01A60 Á 01A61 Á 46-03 Á 47-03 1 Biography Professor Franciszek Hugon Szafraniec’s mathematical career began in 1957 when he left his homeland Upper Silesia for Krako´w to enter the Jagiellonian University. At that time he was 17 years old and, surprisingly, mathematics was his last-minute choice. However random this decision may have been, it was a fortunate one: he succeeded in achieving all the academic degrees up to the scientific title of professor in 1980. It turned out his choice to join the university shaped the Krako´w mathematical community. Communicated by Qingxiang Xu. & Jan Stochel [email protected] Extended author information available on the last page of the article 1298 R. E. Curto et al. Professor Franciszek H. Szafraniec Krako´w beyond Warsaw and Lwo´w belonged to the famous Polish School of Mathematics in the prewar period. -
A Nonstandard Proof of the Spectral Theorem for Unbounded Self-Adjoint
A NONSTANDARD PROOF OF THE SPECTRAL THEOREM FOR UNBOUNDED SELF-ADJOINT OPERATORS ISAAC GOLDBRING Abstract. We generalize Moore’s nonstandard proof of the Spectral theorem for bounded self-adjoint operators to the case of unbounded operators. The key step is to use a definition of the nonstandard hull of an internally bounded self-adjoint operator due to Raab. 1. Introduction Throughout this note, all Hilbert spaces will be over the complex numbers and (following the convention in physics) inner products are conjugate-linear in the first coordinate. The goal of this note is to provide a nonstandard proof of the Spectral theorem for unbounded self-adjoint operators: Theorem 1.1. Suppose that A is an unbounded self-adjoint operator on the Hilbert space H. Then there is a projection-valued measure P : Borel(R) B(H) such that A = id dP. → ZR Here, Borel(R) denotes the σ-algebra of Borel subsets of R and id denotes the identity function on R. All of the terms appearing in the previous theorem will arXiv:2104.01949v1 [math.FA] 5 Apr 2021 be defined precisely in the next section. We refer to the expression A = R id dP as a spectral resolution of A. Thus, the theorem says that every unboundedR self-adjoint operator admits a spectral resolution. In fact, this spectral resolu- tion is unique (that is, the projection-valued measure yielding the resolution is unique), although we will not address the uniqueness issue here. The Spectral theorem for unbounded operators is especially important in quantum mechan- ics, for it provides one with the probability distributions for measuring observ- ables with continuous spectra such as position and momentum. -
Spectrum (Functional Analysis) - Wikipedia, the Free Encyclopedia
Spectrum (functional analysis) - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Spectrum_(functional_analysis) Spectrum (functional analysis) From Wikipedia, the free encyclopedia In functional analysis, the concept of the spectrum of a bounded operator is a generalisation of the concept of eigenvalues for matrices. Specifically, a complex number λ is said to be in the spectrum of a bounded linear operator T if λI − T is not invertible, where I is the identity operator. The study of spectra and related properties is known as spectral theory, which has numerous applications, most notably the mathematical formulation of quantum mechanics. The spectrum of an operator on a finite-dimensional vector space is precisely the set of eigenvalues. However an operator on an infinite-dimensional space may have additional elements in its spectrum, and may have no eigenvalues. For example, consider the right shift operator R on the Hilbert space ℓ2, This has no eigenvalues, since if Rx=λx then by expanding this expression we see that x1=0, x2=0, etc. On the other hand 0 is in the spectrum because the operator R − 0 (i.e. R itself) is not invertible: it is not surjective since any vector with non-zero first component is not in its range. In fact every bounded linear operator on a complex Banach space must have a non-empty spectrum. The notion of spectrum extends to densely-defined unbounded operators. In this case a complex number λ is said to be in the spectrum of such an operator T:D→X (where D is dense in X) if there is no bounded inverse (λI − T)−1:X→D. -
Representations of *-Algebras by Unbounded Operators: C*-Hulls, Local–Global Principle, and Induction
REPRESENTATIONS OF *-ALGEBRAS BY UNBOUNDED OPERATORS: C*-HULLS, LOCAL–GLOBAL PRINCIPLE, AND INDUCTION RALF MEYER Abstract. We define a C∗-hull for a ∗-algebra, given a notion of integrability for its representations on Hilbert modules. We establish a local–global principle which, in many cases, characterises integrable representations on Hilbert mod- ules through the integrable representations on Hilbert spaces. The induction theorem constructs a C∗-hull for a certain class of integrable representations of a graded ∗-algebra, given a C∗-hull for its unit fibre. Contents 1. Introduction 1 2. Representations by unbounded operators on Hilbert modules 5 3. Integrable representations and C∗-hulls 10 4. Polynomials in one variable I 15 5. Local–Global principles 19 6. Polynomials in one variable II 27 7. Bounded and locally bounded representations 30 8. Commutative C∗-hulls 37 9. From graded ∗-1––------algebras to Fell bundles 43 10. Locally bounded unit fibre representations 53 11. Fell bundles with commutative unit fibre 57 12. Rieffel deformation 64 13. Twisted Weyl algebras 66 References 71 1. Introduction Savchuk and Schmüdgen [26] have introduced a method to define and classify the integrable representations of certain ∗-algebras by an inductive construction. The original goal of this article was to clarify this method and thus make it apply to more situations. This has led me to reconsider some foundational aspects of arXiv:1607.04472v3 [math.OA] 27 Jul 2017 the theory of representations of ∗-algebras by unbounded operators. This is best explained by formulating an induction theorem that is inspired by [26]. L Let G be a discrete group with unit element e ∈ G. -
Spectral Theory
Spectral Theory Kim Klinger-Logan November 25, 2016 Abstract: The following is a collection of notes (one of many) that compiled in prepa- ration for my Oral Exam which related to spectral theory for automorphic forms. None of the information is new and it is rephrased from Rudin's Functional Analysis, Evans' Theory of PDE, Paul Garrett's online notes and various other sources. Background on Spectra To begin, here is some basic terminology related to spectral theory. For a continuous linear operator T 2 EndX, the λ-eigenspace of T is Xλ := fx 2 X j T x = λxg: −1 If Xλ 6= 0 then λ is an eigenvalue. The resolvent of an operator T is (T − λ) . The resolvent set ρ(T ) := fλ 2 C j λ is a regular value of T g: The value λ is said to be a regular value if (T − λ)−1 exists, is a bounded linear operator and is defined on a dense subset of the range of T . The spectrum of is the collection of λ such that there is no continuous linear resolvent (inverse). In oter works σ(T ) = C − ρ(T ). spectrum σ(T ) := fλ j T − λ does not have a continuous linear inverseg discrete spectrum σdisc(T ) := fλ j T − λ is not injective i.e. not invertibleg continuous spectrum σcont(T ) := fλ j T −λ is not surjective but does have a dense imageg residual spectrum σres(T ) := fλ 2 σ(T ) − (σdisc(T ) [ σcont(T ))g Bounded Operators Usually we want to talk about bounded operators on Hilbert spaces. -
The Spectral Theorem for Unbounded Self-Adjoint Operators and Nelson's
Faculteit Betawetenschappen` The spectral theorem for unbounded self-adjoint operators and Nelson’s theorem BACHELOR THESIS Kevin Zwart (5533082) Wis- en Natuurkunde (TWIN) Supervisor: Prof. Dr. E.P. van den Ban Mathematical Institute June 18, 2018 Abstract In this thesis, we will introduce the notion of unbounded operators on a Hilbert space. We will discuss the definition of the adjoint of an operator, and what it means for an operator to be self-adjoint. After that, we will restrict ourselves to bounded operators and prove the Spectral Theorem for normal bounded operators. The notion of a spectral measure will be introduced as well. After that, we return to unbounded operators and we will consider the Cayley-transform. With that and the Spectral Theorem for normal bounded operators, we prove the Spectral Theorem for unbounded self-adjoint operators. Then we look into the situations that two unbounded self-adjoint operators commute on a common domain. We then prove a theorem of Nelson that gives some criteria which imply that the spectral measures of the two operators commute. And finally we will consider two examples of unbounded operators that play a role in Quantum Mechanics. i CONTENTS ii Contents 1 Introduction 1 2 Unbounded operators 2 2.1 Unbounded operators and some basic properties . .2 2.2 The adjoint of an operator . .5 2.3 Inverse of an operator and the spectrum . .8 2.4 Symmetric, normal and self-adjoint operators . .9 3 Spectral theorem for bounded normal operators 13 3.1 C∗-algebras and representations . 13 3.2 Spectral measures . 15 3.3 Spectral measure and representation of bounded measurable functions . -
3 Self-Adjoint Operators (Unbounded)
Tel Aviv University, 2009 Intro to functional analysis 27 3 Self-adjoint operators (unbounded) 3a Introduction: which operators are most useful? 27 3b Three evident conditions . 28 3c The fourth, inevident condition . 31 3d Application to the Schr¨odinger equation . 34 3e Cayleytransform................... 35 3f Continuous functions of unitary operators . 37 3g Some discontinuous functions of unitary operators 40 3h Bounded functions of (unbounded) self-adjoint operators ....................... 42 3i Generating a unitary group . 45 3j Listofresults..................... 47 Bounded continuous functions f : R C can be applied to a (generally, unbounded) operator A, giving bounded→ operators f(A), provided that A is self-adjoint (which amounts to three evident conditions and one inevident condition). Indicators of intervals (and some other discontinuous functions f) can be applied, too. Especially, operators Ut = exp(itA) form a unitary group whose generator is A. 3a Introduction: which operators are most useful? The zero operator is much too good for being useful. Less good and more useful are: finite-dimensional self-adjoint operators; compact self-adjoint op- erators; bounded self-adjoint operators. On the other hand, arbitrary linear operators are too bad for being useful. They do not generate groups, they cannot be diagonalized, functions of them are ill-defined. Probably, most useful are such operators as (for example) P and Q (con- sidered in the previous chapters); P 2 + Q2 (the Hamiltonian of a harmonic one-dimensional quantum oscillator, P 2 being the kinetic energy and Q2 the potential energy); more generally, P 2 + v(Q) (the Hamiltonian of a anhar- monic one-dimensional quantum oscillator) and its multidimensional coun- terparts. -
Mathematical Introduction to Quantum Information Processing
Mathematical Introduction to Quantum Information Processing (growing lecture notes, SS2019) Michael M. Wolf June 22, 2019 Contents 1 Mathematical framework 5 1.1 Hilbert spaces . .5 1.2 Bounded Operators . .8 Ideals of operators . 10 Convergence of operators . 11 Functional calculus . 12 1.3 Probabilistic structure of Quantum Theory . 14 Preparation . 15 Measurements . 17 Probabilities . 18 Observables and expectation values . 20 1.4 Convexity . 22 Convex sets and extreme points . 22 Mixtures of states . 23 Majorization . 24 Convex functionals . 26 Entropy . 28 1.5 Composite systems and tensor products . 29 Direct sums . 29 Tensor products . 29 Partial trace . 34 Composite and reduced systems . 35 Entropic quantities . 37 1.6 Quantum channels and operations . 38 Schrödinger & Heisenberg picture . 38 Kraus representation and environment . 42 Choi-matrices . 45 Instruments . 47 Commuting dilations . 48 1.7 Unbounded operators and spectral measures . 51 2 Basic trade-offs 53 2.1 Uncertainty relations . 53 Variance-based preparation uncertainty relations . 54 Joint measurability . 55 2 CONTENTS 3 2.2 Information-disturbance . 56 No information without disturbance . 56 2.3 Time-energy . 58 Mandelstam-Tamm inequalities . 58 Evolution to orthogonal states . 59 These are (incomplete but hopefully growing) lecture notes of a course taught in summer 2019 at the department of mathematics at the Technical University of Munich. 4 CONTENTS Chapter 1 Mathematical framework 1.1 Hilbert spaces This section will briefly summarize relevant concepts and properties of Hilbert spaces. A complex Hilbert space is a vector space over the complex numbers, equipped with an inner product h·; ·i : H × H ! C and an induced norm k k := h ; i1=2 w.r.t. -
The Functional Calculus Approach to the Spectral Theorem
The Functional Calculus Approach to the Spectral Theorem Markus Haase1 Kiel University Mathematisches Seminar Ludewig-Meyn-Str.4 24118 Kiel, Germany Abstract A consistent functional calculus approach to the spectral theorem for strongly commuting normal operators on Hilbert spaces is presented. In contrast to the common approaches using projection-valued measures or multiplication oper- ators, here the functional calculus is not treated as a subordinate but as the central concept. Based on five simple axioms for a “measurable functional calculus”, the theory of such calculi is developed in detail, including spectral theory, uniqueness results and construction principles. Finally, the functional calculus form of the spectral theorem is stated and proved, with some proof variants being discussed. Keywords: Spectral theorem, measurable functional calculus, Fuglede’s theorem 2000 MSC: 47B15, 46A60 1. Introduction The spectral theorem (for normal or self-adjoint operators on a Hilbert space) is certainly one of the most important results of 20th century mathematics. It comes in different forms, two of which are the most widely used: the multiplica- tion operator (MO) form and the one using projection-valued measures (PVMs). arXiv:2003.06130v2 [math.FA] 25 Sep 2020 Associated with this variety is a discussion about “What does the spectral the- orem say?”(Halmos [9]), where the pro’s and con’s of the different approaches are compared. In this article, we would like to add a slightly different stance to this debate by advocating a consistent functional calculus approach to the spectral theorem. Since in any exposition of the spectral theorem one also will find results about functional calculus, some words of explanation are in order. -
Functional Analysis (Under Construction)
Functional Analysis (under construction) Gustav Holzegel∗ March 21, 2015 Contents 1 Motivation and Literature 2 2 Metric Spaces 3 2.1 Examples . .3 2.2 Topological refresher . .5 2.3 Completeness . .6 2.4 Completion of metric spaces . .8 3 Normed Spaces and Banach Spaces 8 3.1 Linear Algebra refresher . .8 3.2 Definition and elementary properties . .9 3.3 Finite vs the Infinite dimensional normed spaces . 11 4 Linear Operators 16 4.1 Bounded Linear Operators . 16 4.2 Restriction and Extension of operators . 18 4.3 Linear functionals . 19 4.4 Normed Spaces of Operators . 20 5 The dual space and the Hahn-Banach theorem 21 5.1 The proof . 25 5.2 Examples: The dual of `1 ...................... 28 5.3 The dual of C [a; b].......................... 29 5.4 A further application . 31 5.5 The adjoint operator . 32 6 The Uniform Boundedness Principle 34 6.1 Application 1: Space of Polynomials . 36 6.2 Application 2: Fourier Series . 37 6.3 Final Remarks . 38 6.4 Strong and Weak convergence . 39 ∗Imperial College London, Department of Mathematics, South Kensington Campus, Lon- don SW7 2AZ, United Kingdom. 1 7 The open mapping and closed graph theorem 44 7.1 The closed graph theorem . 46 8 Hilbert Spaces 48 8.1 Basic definitions . 48 8.2 Closed subspaces and distance . 50 8.3 Orthonormal sets and sequences [lecture by I.K.] . 52 8.4 Total Orthonormal Sets and Sequences . 53 8.5 Riesz Representation Theorem . 55 8.6 Applications of Riesz' theorem & the Hilbert-adjoint . 56 8.7 Self-adjoint and unitary operators .