Twenty-Five Years of Representation Theory of Quantum Groups
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Foundations of Probability Theory and Statistical Mechanics
Chapter 6 Foundations of Probability Theory and Statistical Mechanics EDWIN T. JAYNES Department of Physics, Washington University St. Louis, Missouri 1. What Makes Theories Grow? Scientific theories are invented and cared for by people; and so have the properties of any other human institution - vigorous growth when all the factors are right; stagnation, decadence, and even retrograde progress when they are not. And the factors that determine which it will be are seldom the ones (such as the state of experimental or mathe matical techniques) that one might at first expect. Among factors that have seemed, historically, to be more important are practical considera tions, accidents of birth or personality of individual people; and above all, the general philosophical climate in which the scientist lives, which determines whether efforts in a certain direction will be approved or deprecated by the scientific community as a whole. However much the" pure" scientist may deplore it, the fact remains that military or engineering applications of science have, over and over again, provided the impetus without which a field would have remained stagnant. We know, for example, that ARCHIMEDES' work in mechanics was at the forefront of efforts to defend Syracuse against the Romans; and that RUMFORD'S experiments which led eventually to the first law of thermodynamics were performed in the course of boring cannon. The development of microwave theory and techniques during World War II, and the present high level of activity in plasma physics are more recent examples of this kind of interaction; and it is clear that the past decade of unprecedented advances in solid-state physics is not entirely unrelated to commercial applications, particularly in electronics. -
Quantum Groups and Algebraic Geometry in Conformal Field Theory
QUANTUM GROUPS AND ALGEBRAIC GEOMETRY IN CONFORMAL FIELD THEORY DlU'KKERU EI.INKWIJK BV - UTRECHT QUANTUM GROUPS AND ALGEBRAIC GEOMETRY IN CONFORMAL FIELD THEORY QUANTUMGROEPEN EN ALGEBRAISCHE MEETKUNDE IN CONFORME VELDENTHEORIE (mrt em samcnrattint] in hit Stdirlands) PROEFSCHRIFT TER VERKRIJGING VAN DE GRAAD VAN DOCTOR AAN DE RIJKSUNIVERSITEIT TE UTRECHT. OP GEZAG VAN DE RECTOR MAGNIFICUS. TROF. DR. J.A. VAN GINKEI., INGEVOLGE HET BESLUIT VAN HET COLLEGE VAN DE- CANEN IN HET OPENBAAR TE VERDEDIGEN OP DINSDAG 19 SEPTEMBER 1989 DES NAMIDDAGS TE 2.30 UUR DOOR Theodericus Johannes Henrichs Smit GEBOREN OP 8 APRIL 1962 TE DEN HAAG PROMOTORES: PROF. DR. B. DE WIT PROF. DR. M. HAZEWINKEL "-*1 Dit proefschrift kwam tot stand met "•••; financiele hulp van de stichting voor Fundamenteel Onderzoek der Materie (F.O.M.) Aan mijn ouders Aan Saskia Contents Introduction and summary 3 1.1 Conformal invariance and the conformal bootstrap 11 1.1.1 Conformal symmetry and correlation functions 11 1.1.2 The conformal bootstrap program 23 1.2 Axiomatic conformal field theory 31 1.3 The emergence of a Hopf algebra 4G The modular geometry of string theory 56 2.1 The partition function on moduli space 06 2.2 Determinant line bundles 63 2.2.1 Complex line bundles and divisors on a Riemann surface . (i3 2.2.2 Cauchy-Riemann operators (iT 2.2.3 Metrical properties of determinants of Cauchy-Ricmann oper- ators 6!) 2.3 The Mumford form on moduli space 77 2.3.1 The Quillen metric on determinant line bundles 77 2.3.2 The Grothendieck-Riemann-Roch theorem and the Mumford -
Integrable Systems and Quantum Deformations
Integrable Systems and Quantum Deformations Peter Koroteev University of Minnesota In collaboration with N. Beisert, F. Spill, A. Rej 0802.0777, work in progress MG12, July 13th 2009 Outline Introduction. Integrability and Symmetry What is Integrability Coordinate Bethe Ansatz AdS/CFT Correspondence Quantum Deformation of 1D Hubbard Model 2 Uq(su(2j2) n R ) algebra Hubbard-like Models Universal R-matrix Yangian Universal R-matrix I \Complicated", Chaotic models. Almost untractable I Integrable models: not necessrily easy/complicated Integrable models can be completely solved Why Integrability? I Easy models: Classical Mechanics (ossilator, free point particle) I Integrable models: not necessrily easy/complicated Integrable models can be completely solved Why Integrability? I Easy models: Classical Mechanics (ossilator, free point particle) I \Complicated", Chaotic models. Almost untractable Integrable models can be completely solved Why Integrability? I Easy models: Classical Mechanics (ossilator, free point particle) I \Complicated", Chaotic models. Almost untractable I Integrable models: not necessrily easy/complicated Why Integrability? I Easy models: Classical Mechanics (ossilator, free point particle) I \Complicated", Chaotic models. Almost untractable I Integrable models: not necessrily easy/complicated Integrable models can be completely solved I Finite dimensional: mechanical with n d.o.f.s { exist n-1 local integrals in involution I Field Theory: Infinite dimensional symmetry, S{matrix satisfies integrability constraints. We are -
Randomized Algorithms Week 1: Probability Concepts
600.664: Randomized Algorithms Professor: Rao Kosaraju Johns Hopkins University Scribe: Your Name Randomized Algorithms Week 1: Probability Concepts Rao Kosaraju 1.1 Motivation for Randomized Algorithms In a randomized algorithm you can toss a fair coin as a step of computation. Alternatively a bit taking values of 0 and 1 with equal probabilities can be chosen in a single step. More generally, in a single step an element out of n elements can be chosen with equal probalities (uniformly at random). In such a setting, our goal can be to design an algorithm that minimizes run time. Randomized algorithms are often advantageous for several reasons. They may be faster than deterministic algorithms. They may also be simpler. In addition, there are problems that can be solved with randomization for which we cannot design efficient deterministic algorithms directly. In some of those situations, we can design attractive deterministic algoirthms by first designing randomized algorithms and then converting them into deter- ministic algorithms by applying standard derandomization techniques. Deterministic Algorithm: Worst case running time, i.e. the number of steps the algo- rithm takes on the worst input of length n. Randomized Algorithm: 1) Expected number of steps the algorithm takes on the worst input of length n. 2) w.h.p. bounds. As an example of a randomized algorithm, we now present the classic quicksort algorithm and derive its performance later on in the chapter. We are given a set S of n distinct elements and we want to sort them. Below is the randomized quicksort algorithm. Algorithm RandQuickSort(S = fa1; a2; ··· ; ang If jSj ≤ 1 then output S; else: Choose a pivot element ai uniformly at random (u.a.r.) from S Split the set S into two subsets S1 = fajjaj < aig and S2 = fajjaj > aig by comparing each aj with the chosen ai Recurse on sets S1 and S2 Output the sorted set S1 then ai and then sorted S2. -
Quantum Group and Quantum Symmetry
QUANTUM GROUP AND QUANTUM SYMMETRY Zhe Chang International Centre for Theoretical Physics, Trieste, Italy INFN, Sezione di Trieste, Trieste, Italy and Institute of High Energy Physics, Academia Sinica, Beijing, China Contents 1 Introduction 3 2 Yang-Baxter equation 5 2.1 Integrable quantum field theory ...................... 5 2.2 Lattice statistical physics .......................... 8 2.3 Yang-Baxter equation ............................ 11 2.4 Classical Yang-Baxter equation ...................... 13 3 Quantum group theory 16 3.1 Hopf algebra ................................. 16 3.2 Quantization of Lie bi-algebra ....................... 19 3.3 Quantum double .............................. 22 3.3.1 SUq(2) as the quantum double ................... 23 3.3.2 Uq (g) as the quantum double ................... 27 3.3.3 Universal R-matrix ......................... 30 4Representationtheory 33 4.1 Representations for generic q........................ 34 4.1.1 Representations of SUq(2) ..................... 34 4.1.2 Representations of Uq(g), the general case ............ 41 4.2 Representations for q being a root of unity ................ 43 4.2.1 Representations of SUq(2) ..................... 44 4.2.2 Representations of Uq(g), the general case ............ 55 1 5 Hamiltonian system 58 5.1 Classical symmetric top system ...................... 60 5.2 Quantum symmetric top system ...................... 66 6 Integrable lattice model 70 6.1 Vertex model ................................ 71 6.2 S.O.S model ................................. 79 6.3 Configuration -
Probability Theory Review for Machine Learning
Probability Theory Review for Machine Learning Samuel Ieong November 6, 2006 1 Basic Concepts Broadly speaking, probability theory is the mathematical study of uncertainty. It plays a central role in machine learning, as the design of learning algorithms often relies on proba- bilistic assumption of the data. This set of notes attempts to cover some basic probability theory that serves as a background for the class. 1.1 Probability Space When we speak about probability, we often refer to the probability of an event of uncertain nature taking place. For example, we speak about the probability of rain next Tuesday. Therefore, in order to discuss probability theory formally, we must first clarify what the possible events are to which we would like to attach probability. Formally, a probability space is defined by the triple (Ω, F,P ), where • Ω is the space of possible outcomes (or outcome space), • F ⊆ 2Ω (the power set of Ω) is the space of (measurable) events (or event space), • P is the probability measure (or probability distribution) that maps an event E ∈ F to a real value between 0 and 1 (think of P as a function). Given the outcome space Ω, there is some restrictions as to what subset of 2Ω can be considered an event space F: • The trivial event Ω and the empty event ∅ is in F. • The event space F is closed under (countable) union, i.e., if α, β ∈ F, then α ∪ β ∈ F. • The even space F is closed under complement, i.e., if α ∈ F, then (Ω \ α) ∈ F. -
Non-Commutative Phase and the Unitarization of GL {P, Q}(2)
Non–commutative phase and the unitarization of GLp,q (2) M. Arık and B.T. Kaynak Department of Physics, Bo˘gazi¸ci University, 80815 Bebek, Istanbul, Turkey Abstract In this paper, imposing hermitian conjugate relations on the two– parameter deformed quantum group GLp,q (2) is studied. This results in a non-commutative phase associated with the unitarization of the quantum group. After the achievement of the quantum group Up,q (2) with pq real via a non–commutative phase, the representation of the algebra is built by means of the action of the operators constituting the Up,q (2) matrix on states. 1 Introduction The mathematical construction of a quantum group Gq pertaining to a given Lie group G is simply a deformation of a commutative Poisson-Hopf algebra defined over G. The structure of a deformation is not only a Hopf algebra arXiv:hep-th/0208089v2 18 Oct 2002 but characteristically a non-commutative algebra as well. The notion of quantum groups in physics is widely known to be the generalization of the symmetry properties of both classical Lie groups and Lie algebras, where two different mathematical blocks, namely deformation and co–multiplication, are simultaneously imposed either on the related Lie group or on the related Lie algebra. A quantum group is defined algebraically as a quasi–triangular Hopf alge- bra. It can be either non-commutative or commutative. It is fundamentally a bi–algebra with an antipode so as to consist of either the q–deformed uni- versal enveloping algebra of the classical Lie algebra or its dual, called the matrix quantum group, which can be understood as the q–analog of a classi- cal matrix group [1]. -
Non-Commutative Dual Representation for Quantum Systems on Lie Groups
Loops 11: Non-Perturbative / Background Independent Quantum Gravity IOP Publishing Journal of Physics: Conference Series 360 (2012) 012052 doi:10.1088/1742-6596/360/1/012052 Non-commutative dual representation for quantum systems on Lie groups Matti Raasakka Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am M¨uhlenberg 1, 14476 Potsdam, Germany, EU E-mail: [email protected] Abstract. We provide a short overview of some recent results on the application of group Fourier transform to quantum mechanics and quantum gravity. We close by pointing out some future research directions. 1. Introduction The group Fourier transform is an integral transform from functions on a Lie group to functions on a non-commutative dual space. It was first formulated for functions on SO(3) [1, 2], later generalized to SU(2) [2–4] and other Lie groups [5, 6], and is based on the quantum group structure of Drinfel’d double of the group [7, 8]. The transform provides a unitarily equivalent representation of quantum systems with a Lie group configuration space in terms of non- commutative algebra of functions on the classical dual space, the dual of the Lie algebra. As such, it has proven useful in several different ways. Most importantly, it provides a clear connection between the quantum system and the corresponding classical one, allowing for a better physical insight into the system. In the case of quantum gravity models this has turned out to be particularly helpful in unraveling the geometrical content of the models, because the dual variables have an intuitive interpretation as classical geometrical quantities. -
1.25. the Quantum Group Uq (Sl2). Let Us Consider the Lie Algebra Sl2
55 1.25. The Quantum Group Uq (sl2). Let us consider the Lie algebra sl2. Recall that there is a basis h; e; f 2 sl2 such that [h; e] = 2e; [h; f] = −2f; [e; f] = h. This motivates the following definition. Definition 1.25.1. Let q 2 k; q =6 ±1. The quantum group Uq(sl2) is generated by elements E; F and an invertible element K with defining relations K − K−1 KEK−1 = q2E; KFK−1 = q−2F; [E; F] = : −1 q − q Theorem 1.25.2. There exists a unique Hopf algebra structure on Uq (sl2), given by • Δ(K) = K ⊗ K (thus K is a grouplike element); • Δ(E) = E ⊗ K + 1 ⊗ E; • Δ(F) = F ⊗ 1 + K−1 ⊗ F (thus E; F are skew-primitive ele ments). Exercise 1.25.3. Prove Theorem 1.25.2. Remark 1.25.4. Heuristically, K = qh, and thus K − K−1 lim = h: −1 q!1 q − q So in the limit q ! 1, the relations of Uq (sl2) degenerate into the relations of U(sl2), and thus Uq (sl2) should be viewed as a Hopf algebra deformation of the enveloping algebra U(sl2). In fact, one can make this heuristic idea into a precise statement, see e.g. [K]. If q is a root of unity, one can also define a finite dimensional version of Uq (sl2). Namely, assume that the order of q is an odd number `. Let uq (sl2) be the quotient of Uq (sl2) by the additional relations ` ` ` E = F = K − 1 = 0: Then it is easy to show that uq (sl2) is a Hopf algebra (with the co product inherited from Uq (sl2)). -
An Introduction to the Theory of Quantum Groups Ryan W
Eastern Washington University EWU Digital Commons EWU Masters Thesis Collection Student Research and Creative Works 2012 An introduction to the theory of quantum groups Ryan W. Downie Eastern Washington University Follow this and additional works at: http://dc.ewu.edu/theses Part of the Physical Sciences and Mathematics Commons Recommended Citation Downie, Ryan W., "An introduction to the theory of quantum groups" (2012). EWU Masters Thesis Collection. 36. http://dc.ewu.edu/theses/36 This Thesis is brought to you for free and open access by the Student Research and Creative Works at EWU Digital Commons. It has been accepted for inclusion in EWU Masters Thesis Collection by an authorized administrator of EWU Digital Commons. For more information, please contact [email protected]. EASTERN WASHINGTON UNIVERSITY An Introduction to the Theory of Quantum Groups by Ryan W. Downie A thesis submitted in partial fulfillment for the degree of Master of Science in Mathematics in the Department of Mathematics June 2012 THESIS OF RYAN W. DOWNIE APPROVED BY DATE: RON GENTLE, GRADUATE STUDY COMMITTEE DATE: DALE GARRAWAY, GRADUATE STUDY COMMITTEE EASTERN WASHINGTON UNIVERSITY Abstract Department of Mathematics Master of Science in Mathematics by Ryan W. Downie This thesis is meant to be an introduction to the theory of quantum groups, a new and exciting field having deep relevance to both pure and applied mathematics. Throughout the thesis, basic theory of requisite background material is developed within an overar- ching categorical framework. This background material includes vector spaces, algebras and coalgebras, bialgebras, Hopf algebras, and Lie algebras. The understanding gained from these subjects is then used to explore some of the more basic, albeit important, quantum groups. -
Effective Theory of Levy and Feller Processes
The Pennsylvania State University The Graduate School Eberly College of Science EFFECTIVE THEORY OF LEVY AND FELLER PROCESSES A Dissertation in Mathematics by Adrian Maler © 2015 Adrian Maler Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy December 2015 The dissertation of Adrian Maler was reviewed and approved* by the following: Stephen G. Simpson Professor of Mathematics Dissertation Adviser Chair of Committee Jan Reimann Assistant Professor of Mathematics Manfred Denker Visiting Professor of Mathematics Bharath Sriperumbudur Assistant Professor of Statistics Yuxi Zheng Francis R. Pentz and Helen M. Pentz Professor of Science Head of the Department of Mathematics *Signatures are on file in the Graduate School. ii ABSTRACT We develop a computational framework for the study of continuous-time stochastic processes with c`adl`agsample paths, then effectivize important results from the classical theory of L´evyand Feller processes. Probability theory (including stochastic processes) is based on measure. In Chapter 2, we review computable measure theory, and, as an application to probability, effectivize the Skorokhod representation theorem. C`adl`ag(right-continuous, left-limited) functions, representing possible sample paths of a stochastic process, form a metric space called Skorokhod space. In Chapter 3, we show that Skorokhod space is a computable metric space, and establish fundamental computable properties of this space. In Chapter 4, we develop an effective theory of L´evyprocesses. L´evy processes are known to have c`adl`agmodifications, and we show that such a modification is computable from a suitable representation of the process. We also show that the L´evy-It^odecomposition is computable. -
Quantum Mechanical Laws - Bogdan Mielnik and Oscar Rosas-Ruiz
FUNDAMENTALS OF PHYSICS – Vol. I - Quantum Mechanical Laws - Bogdan Mielnik and Oscar Rosas-Ruiz QUANTUM MECHANICAL LAWS Bogdan Mielnik and Oscar Rosas-Ortiz Departamento de Física, Centro de Investigación y de Estudios Avanzados, México Keywords: Indeterminism, Quantum Observables, Probabilistic Interpretation, Schrödinger’s cat, Quantum Control, Entangled States, Einstein-Podolski-Rosen Paradox, Canonical Quantization, Bell Inequalities, Path integral, Quantum Cryptography, Quantum Teleportation, Quantum Computing. Contents: 1. Introduction 2. Black body radiation: the lateral problem becomes fundamental. 3. The discovery of photons 4. Compton’s effect: collisions confirm the existence of photons 5. Atoms: the contradictions of the planetary model 6. The mystery of the allowed energy levels 7. Luis de Broglie: particles or waves? 8. Schrödinger’s wave mechanics: wave vibrations explain the energy levels 9. The statistical interpretation 10. The Schrödinger’s picture of quantum theory 11. The uncertainty principle: instrumental and mathematical aspects. 12. Typical states and spectra 13. Unitary evolution 14. Canonical quantization: scientific or magic algorithm? 15. The mixed states 16. Quantum control: how to manipulate the particle? 17. Measurement theory and its conceptual consequences 18. Interpretational polemics and paradoxes 19. Entangled states 20. Dirac’s theory of the electron as the square root of the Klein-Gordon law 21. Feynman: the interference of virtual histories 22. Locality problems 23. The idea UNESCOof quantum computing and future – perspectives EOLSS 24. Open questions Glossary Bibliography Biographical SketchesSAMPLE CHAPTERS Summary The present day quantum laws unify simple empirical facts and fundamental principles describing the behavior of micro-systems. A parallel but different component is the symbolic language adequate to express the ‘logic’ of quantum phenomena.