Note on Symmetry and Constants of Motion 1 What Is a Symmetry?
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Quantum Phase Space in Relativistic Theory: the Case of Charge-Invariant Observables
Proceedings of Institute of Mathematics of NAS of Ukraine 2004, Vol. 50, Part 3, 1448–1453 Quantum Phase Space in Relativistic Theory: the Case of Charge-Invariant Observables A.A. SEMENOV †, B.I. LEV † and C.V. USENKO ‡ † Institute of Physics of NAS of Ukraine, 46 Nauky Ave., 03028 Kyiv, Ukraine E-mail: [email protected], [email protected] ‡ Physics Department, Taras Shevchenko Kyiv University, 6 Academician Glushkov Ave., 03127 Kyiv, Ukraine E-mail: [email protected] Mathematical method of quantum phase space is very useful in physical applications like quantum optics and non-relativistic quantum mechanics. However, attempts to generalize it for the relativistic case lead to some difficulties. One of problems is band structure of energy spectrum for a relativistic particle. This corresponds to an internal degree of freedom, so- called charge variable. In physical problems we often deal with such dynamical variables that do not depend on this degree of freedom. These are position, momentum, and any combination of them. Restricting our consideration to this kind of observables we propose the relativistic Weyl–Wigner–Moyal formalism that contains some surprising differences from its non-relativistic counterpart. This paper is devoted to the phase space formalism that is specific representation of quan- tum mechanics. This representation is very close to classical mechanics and its basic idea is a description of quantum observables by means of functions in phase space (symbols) instead of operators in the Hilbert space of states. The first idea about this representation has been proposed in the early days of quantum mechanics in the well-known Weyl work [1]. -
The Invariant Theory of Matrices
UNIVERSITY LECTURE SERIES VOLUME 69 The Invariant Theory of Matrices Corrado De Concini Claudio Procesi American Mathematical Society The Invariant Theory of Matrices 10.1090/ulect/069 UNIVERSITY LECTURE SERIES VOLUME 69 The Invariant Theory of Matrices Corrado De Concini Claudio Procesi American Mathematical Society Providence, Rhode Island EDITORIAL COMMITTEE Jordan S. Ellenberg Robert Guralnick William P. Minicozzi II (Chair) Tatiana Toro 2010 Mathematics Subject Classification. Primary 15A72, 14L99, 20G20, 20G05. For additional information and updates on this book, visit www.ams.org/bookpages/ulect-69 Library of Congress Cataloging-in-Publication Data Names: De Concini, Corrado, author. | Procesi, Claudio, author. Title: The invariant theory of matrices / Corrado De Concini, Claudio Procesi. Description: Providence, Rhode Island : American Mathematical Society, [2017] | Series: Univer- sity lecture series ; volume 69 | Includes bibliographical references and index. Identifiers: LCCN 2017041943 | ISBN 9781470441876 (alk. paper) Subjects: LCSH: Matrices. | Invariants. | AMS: Linear and multilinear algebra; matrix theory – Basic linear algebra – Vector and tensor algebra, theory of invariants. msc | Algebraic geometry – Algebraic groups – None of the above, but in this section. msc | Group theory and generalizations – Linear algebraic groups and related topics – Linear algebraic groups over the reals, the complexes, the quaternions. msc | Group theory and generalizations – Linear algebraic groups and related topics – Representation theory. msc Classification: LCC QA188 .D425 2017 | DDC 512.9/434–dc23 LC record available at https://lccn. loc.gov/2017041943 Copying and reprinting. Individual readers of this publication, and nonprofit libraries acting for them, are permitted to make fair use of the material, such as to copy select pages for use in teaching or research. -
Spacetime Diagrams(1D in Space)
PH300 Modern Physics SP11 Last time: • Time dilation and length contraction Today: • Spacetime • Addition of velocities • Lorentz transformations Thursday: • Relativistic momentum and energy “The only reason for time is so that HW03 due, beginning of class; HW04 assigned everything doesn’t happen at once.” 2/1 Day 6: Next week: - Albert Einstein Questions? Intro to quantum Spacetime Thursday: Exam I (in class) Addition of Velocities Relativistic Momentum & Energy Lorentz Transformations 1 2 Spacetime Diagrams (1D in space) Spacetime Diagrams (1D in space) c · t In PHYS I: v In PH300: x x x x Δx Δx v = /Δt Δt t t Recall: Lucy plays with a fire cracker in the train. (1D in space) Spacetime Diagrams Ricky watches the scene from the track. c· t In PH300: object moving with 0<v<c. ‘Worldline’ of the object L R -2 -1 0 1 2 x object moving with 0>v>-c v c·t c·t Lucy object at rest object moving with v = -c. at x=1 x=0 at time t=0 -2 -1 0 1 2 x -2 -1 0 1 2 x Ricky 1 Example: Ricky on the tracks Example: Lucy in the train ct ct Light reaches both walls at the same time. Light travels to both walls Ricky concludes: Light reaches left side first. x x L R L R Lucy concludes: Light reaches both sides at the same time In Ricky’s frame: Walls are in motion In Lucy’s frame: Walls are at rest S Frame S’ as viewed from S ... -3 -2 -1 0 1 2 3 .. -
Algebraic Geometry, Moduli Spaces, and Invariant Theory
Algebraic Geometry, Moduli Spaces, and Invariant Theory Han-Bom Moon Department of Mathematics Fordham University May, 2016 Han-Bom Moon Algebraic Geometry, Moduli Spaces, and Invariant Theory Part I Algebraic Geometry Han-Bom Moon Algebraic Geometry, Moduli Spaces, and Invariant Theory Algebraic geometry From wikipedia: Algebraic geometry is a branch of mathematics, classically studying zeros of multivariate polynomials. Han-Bom Moon Algebraic Geometry, Moduli Spaces, and Invariant Theory Algebraic geometry in highschool The zero set of a two-variable polynomial provides a plane curve. Example: 2 2 2 f(x; y) = x + y 1 Z(f) := (x; y) R f(x; y) = 0 − , f 2 j g a unit circle ··· Han-Bom Moon Algebraic Geometry, Moduli Spaces, and Invariant Theory Algebraic geometry in college calculus The zero set of a three-variable polynomial give a surface. Examples: 2 2 2 3 f(x; y; z) = x + y z 1 Z(f) := (x; y; z) R f(x; y; z) = 0 − − , f 2 j g 2 2 2 3 g(x; y; z) = x + y z Z(g) := (x; y; z) R g(x; y; z) = 0 − , f 2 j g Han-Bom Moon Algebraic Geometry, Moduli Spaces, and Invariant Theory Algebraic geometry in college calculus The common zero set of two three-variable polynomials gives a space curve. Example: f(x; y; z) = x2 + y2 + z2 1; g(x; y; z) = x + y + z − Z(f; g) := (x; y; z) R3 f(x; y; z) = g(x; y; z) = 0 , f 2 j g Definition An algebraic variety is a common zero set of some polynomials. -
Reflection Invariant and Symmetry Detection
1 Reflection Invariant and Symmetry Detection Erbo Li and Hua Li Abstract—Symmetry detection and discrimination are of fundamental meaning in science, technology, and engineering. This paper introduces reflection invariants and defines the directional moments(DMs) to detect symmetry for shape analysis and object recognition. And it demonstrates that detection of reflection symmetry can be done in a simple way by solving a trigonometric system derived from the DMs, and discrimination of reflection symmetry can be achieved by application of the reflection invariants in 2D and 3D. Rotation symmetry can also be determined based on that. Also, if none of reflection invariants is equal to zero, then there is no symmetry. And the experiments in 2D and 3D show that all the reflection lines or planes can be deterministically found using DMs up to order six. This result can be used to simplify the efforts of symmetry detection in research areas,such as protein structure, model retrieval, reverse engineering, and machine vision etc. Index Terms—symmetry detection, shape analysis, object recognition, directional moment, moment invariant, isometry, congruent, reflection, chirality, rotation F 1 INTRODUCTION Kazhdan et al. [1] developed a continuous measure and dis- The essence of geometric symmetry is self-evident, which cussed the properties of the reflective symmetry descriptor, can be found everywhere in nature and social lives, as which was expanded to 3D by [2] and was augmented in shown in Figure 1. It is true that we are living in a spatial distribution of the objects asymmetry by [3] . For symmetric world. Pursuing the explanation of symmetry symmetry discrimination [4] defined a symmetry distance will provide better understanding to the surrounding world of shapes. -
1 the Basic Set-Up 2 Poisson Brackets
MATHEMATICS 7302 (Analytical Dynamics) YEAR 2016–2017, TERM 2 HANDOUT #12: THE HAMILTONIAN APPROACH TO MECHANICS These notes are intended to be read as a supplement to the handout from Gregory, Classical Mechanics, Chapter 14. 1 The basic set-up I assume that you have already studied Gregory, Sections 14.1–14.4. The following is intended only as a succinct summary. We are considering a system whose equations of motion are written in Hamiltonian form. This means that: 1. The phase space of the system is parametrized by canonical coordinates q =(q1,...,qn) and p =(p1,...,pn). 2. We are given a Hamiltonian function H(q, p, t). 3. The dynamics of the system is given by Hamilton’s equations of motion ∂H q˙i = (1a) ∂pi ∂H p˙i = − (1b) ∂qi for i =1,...,n. In these notes we will consider some deeper aspects of Hamiltonian dynamics. 2 Poisson brackets Let us start by considering an arbitrary function f(q, p, t). Then its time evolution is given by n df ∂f ∂f ∂f = q˙ + p˙ + (2a) dt ∂q i ∂p i ∂t i=1 i i X n ∂f ∂H ∂f ∂H ∂f = − + (2b) ∂q ∂p ∂p ∂q ∂t i=1 i i i i X 1 where the first equality used the definition of total time derivative together with the chain rule, and the second equality used Hamilton’s equations of motion. The formula (2b) suggests that we make a more general definition. Let f(q, p, t) and g(q, p, t) be any two functions; we then define their Poisson bracket {f,g} to be n def ∂f ∂g ∂f ∂g {f,g} = − . -
A New Invariant Under Congruence of Nonsingular Matrices
A new invariant under congruence of nonsingular matrices Kiyoshi Shirayanagi and Yuji Kobayashi Abstract For a nonsingular matrix A, we propose the form Tr(tAA−1), the trace of the product of its transpose and inverse, as a new invariant under congruence of nonsingular matrices. 1 Introduction Let K be a field. We denote the set of all n n matrices over K by M(n,K), and the set of all n n nonsingular matrices× over K by GL(n,K). For A, B M(n,K), A is similar× to B if there exists P GL(n,K) such that P −1AP = B∈, and A is congruent to B if there exists P ∈ GL(n,K) such that tP AP = B, where tP is the transpose of P . A map f∈ : M(n,K) K is an invariant under similarity of matrices if for any A M(n,K), f(P→−1AP ) = f(A) holds for all P GL(n,K). Also, a map g : M∈ (n,K) K is an invariant under congruence∈ of matrices if for any A M(n,K), g(→tP AP ) = g(A) holds for all P GL(n,K), and h : GL(n,K) ∈ K is an invariant under congruence of nonsingular∈ matrices if for any A →GL(n,K), h(tP AP ) = h(A) holds for all P GL(n,K). ∈ ∈As is well known, there are many invariants under similarity of matrices, such as trace, determinant and other coefficients of the minimal polynomial. In arXiv:1904.04397v1 [math.RA] 8 Apr 2019 case the characteristic is zero, rank is also an example. -
Basic Four-Momentum Kinematics As
L4:1 Basic four-momentum kinematics Rindler: Ch5: sec. 25-30, 32 Last time we intruduced the contravariant 4-vector HUB, (II.6-)II.7, p142-146 +part of I.9-1.10, 154-162 vector The world is inconsistent! and the covariant 4-vector component as implicit sum over We also introduced the scalar product For a 4-vector square we have thus spacelike timelike lightlike Today we will introduce some useful 4-vectors, but rst we introduce the proper time, which is simply the time percieved in an intertial frame (i.e. time by a clock moving with observer) If the observer is at rest, then only the time component changes but all observers agree on ✁S, therefore we have for an observer at constant speed L4:2 For a general world line, corresponding to an accelerating observer, we have Using this it makes sense to de ne the 4-velocity As transforms as a contravariant 4-vector and as a scalar indeed transforms as a contravariant 4-vector, so the notation makes sense! We also introduce the 4-acceleration Let's calculate the 4-velocity: and the 4-velocity square Multiplying the 4-velocity with the mass we get the 4-momentum Note: In Rindler m is called m and Rindler's I will always mean with . which transforms as, i.e. is, a contravariant 4-vector. Remark: in some (old) literature the factor is referred to as the relativistic mass or relativistic inertial mass. L4:3 The spatial components of the 4-momentum is the relativistic 3-momentum or simply relativistic momentum and the 0-component turns out to give the energy: Remark: Taylor expanding for small v we get: rest energy nonrelativistic kinetic energy for v=0 nonrelativistic momentum For the 4-momentum square we have: As you may expect we have conservation of 4-momentum, i.e. -
Integrals of Motion Key Point #15 from Bachelor Course
KeyKey12-10-07 see PointPoint http://www.strw.leidenuniv.nl/˜ #15#10 fromfrom franx/college/ BachelorBachelor mf-sts-07-c4-5 Course:Course:12-10-07 see http://www.strw.leidenuniv.nl/˜ IntegralsIntegrals ofof franx/college/ MotionMotion mf-sts-07-c4-6 4.2 Constants and Integrals of motion Integrals (BT 3.1 p 110-113) Much harder to define. E.g.: 1 2 Energy (all static potentials): E(⃗x,⃗v)= 2 v + Φ First, we define the 6 dimensional “phase space” coor- dinates (⃗x,⃗v). They are conveniently used to describe Lz (axisymmetric potentials) the motions of stars. Now we introduce: L⃗ (spherical potentials) • Integrals constrain geometry of orbits. • Constant of motion: a function C(⃗x,⃗v, t) which is constant along any orbit: examples: C(⃗x(t1),⃗v(t1),t1)=C(⃗x(t2),⃗v(t2),t2) • 1. Spherical potentials: E,L ,L ,L are integrals of motion, but also E,|L| C is a function of ⃗x, ⃗v, and time t. x y z and the direction of L⃗ (given by the unit vector ⃗n, Integral of motion which is defined by two independent numbers). ⃗n de- • : a function I(x, v) which is fines the plane in which ⃗x and ⃗v must lie. Define coor- constant along any orbit: dinate system with z axis along ⃗n I[⃗x(t1),⃗v(t1)] = I[⃗x(t2),⃗v(t2)] ⃗x =(x1,x2, 0) I is not a function of time ! Thus: integrals of motion are constants of motion, ⃗v =(v1,v2, 0) but constants of motion are not always integrals of motion! → ⃗x and ⃗v constrained to 4D region of the 6D phase space. -
STUDENT HIGHLIGHT – Hassan Najafi Alishah - “Symplectic Geometry, Poisson Geometry and KAM Theory” (Mathematics)
SEPTEMBER OCTOBER // 2010 NUMBER// 28 STUDENT HIGHLIGHT – Hassan Najafi Alishah - “Symplectic Geometry, Poisson Geometry and KAM theory” (Mathematics) Hassan Najafi Alishah, a CoLab program student specializing in math- The Hamiltonian function (or energy function) is constant along the ematics, is doing advanced work in the Mathematics Departments of flow. In other words, the Hamiltonian function is a constant of motion, Instituto Superior Técnico, Lisbon, and the University of Texas at Austin. a principle that is sometimes called the energy conservation law. A This article provides an overview of his research topics. harmonic spring, a pendulum, and a one-dimensional compressible fluid provide examples of Hamiltonian Symplectic and Poisson geometries underlie all me- systems. In the former, the phase spaces are symplec- chanical systems including the solar system, the motion tic manifolds, but for the later phase space one needs of a rigid body, or the interaction of small molecules. the more general concept of a Poisson manifold. The origins of symplectic and Poisson structures go back to the works of the French mathematicians Joseph-Louis A Hamiltonian system with enough suitable constants Lagrange (1736-1813) and Simeon Denis Poisson (1781- of motion can be integrated explicitly and its orbits can 1840). Hermann Weyl (1885-1955) first used “symplectic” be described in detail. These are called completely in- with its modern mathematical meaning in his famous tegrable Hamiltonian systems. Under appropriate as- monograph “The Classical groups.” (The word “sym- sumptions (e.g., in a compact symplectic manifold) plectic” itself is derived from a Greek word that means the motions of a completely integrable Hamiltonian complex.) Lagrange introduced the concept of a system are quasi-periodic. -
Moduli Spaces and Invariant Theory
MODULI SPACES AND INVARIANT THEORY JENIA TEVELEV CONTENTS §1. Syllabus 3 §1.1. Prerequisites 3 §1.2. Course description 3 §1.3. Course grading and expectations 4 §1.4. Tentative topics 4 §1.5. Textbooks 4 References 4 §2. Geometry of lines 5 §2.1. Grassmannian as a complex manifold. 5 §2.2. Moduli space or a parameter space? 7 §2.3. Stiefel coordinates. 8 §2.4. Complete system of (semi-)invariants. 8 §2.5. Plücker coordinates. 9 §2.6. First Fundamental Theorem 10 §2.7. Equations of the Grassmannian 11 §2.8. Homogeneous ideal 13 §2.9. Hilbert polynomial 15 §2.10. Enumerative geometry 17 §2.11. Transversality. 19 §2.12. Homework 1 21 §3. Fine moduli spaces 23 §3.1. Categories 23 §3.2. Functors 25 §3.3. Equivalence of Categories 26 §3.4. Representable Functors 28 §3.5. Natural Transformations 28 §3.6. Yoneda’s Lemma 29 §3.7. Grassmannian as a fine moduli space 31 §4. Algebraic curves and Riemann surfaces 37 §4.1. Elliptic and Abelian integrals 37 §4.2. Finitely generated fields of transcendence degree 1 38 §4.3. Analytic approach 40 §4.4. Genus and meromorphic forms 41 §4.5. Divisors and linear equivalence 42 §4.6. Branched covers and Riemann–Hurwitz formula 43 §4.7. Riemann–Roch formula 45 §4.8. Linear systems 45 §5. Moduli of elliptic curves 47 1 2 JENIA TEVELEV §5.1. Curves of genus 1. 47 §5.2. J-invariant 50 §5.3. Monstrous Moonshine 52 §5.4. Families of elliptic curves 53 §5.5. The j-line is a coarse moduli space 54 §5.6. -
Newton's Laws
Newton’s Laws First Law A body moves with constant velocity unless a net force acts on the body. Second Law The rate of change of momentum of a body is equal to the net force applied to the body. Third Law If object A exerts a force on object B, then object B exerts a force on object A. These have equal magnitude but opposite direction. Newton’s second law The second law should be familiar: F = ma where m is the inertial mass (a scalar) and a is the acceleration (a vector). Note that a is the rate of change of velocity, which is in turn the rate of change of displacement. So d d2 a = v = r dt dt2 which, in simplied notation is a = v_ = r¨ The principle of relativity The principle of relativity The laws of nature are identical in all inertial frames of reference An inertial frame of reference is one in which a freely moving body proceeds with uniform velocity. The Galilean transformation - In Newtonian mechanics, the concepts of space and time are completely separable. - Time is considered an absolute quantity which is independent of the frame of reference: t0 = t. - The laws of mechanics are invariant under a transformation of the coordinate system. u y y 0 S S 0 x x0 Consider two inertial reference frames S and S0. The frame S0 moves at a velocity u relative to the frame S along the x axis. The trans- formation of the coordinates of a point is, therefore x0 = x − ut y 0 = y z0 = z The above equations constitute a Galilean transformation u y y 0 S S 0 x x0 These equations are linear (as we would hope), so we can write the same equations for changes in each of the coordinates: ∆x0 = ∆x − u∆t ∆y 0 = ∆y ∆z0 = ∆z u y y 0 S S 0 x x0 For moving particles, we need to know how to transform velocity, v, and acceleration, a, between frames.