Covariant Equations of Motion Beyond the Spin-Dipole Particle Approximation
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Arxiv:2012.13347V1 [Physics.Class-Ph] 15 Dec 2020
KPOP E-2020-04 Bra-Ket Representation of the Inertia Tensor U-Rae Kim, Dohyun Kim, and Jungil Lee∗ KPOPE Collaboration, Department of Physics, Korea University, Seoul 02841, Korea (Dated: June 18, 2021) Abstract We employ Dirac's bra-ket notation to define the inertia tensor operator that is independent of the choice of bases or coordinate system. The principal axes and the corresponding principal values for the elliptic plate are determined only based on the geometry. By making use of a general symmetric tensor operator, we develop a method of diagonalization that is convenient and intuitive in determining the eigenvector. We demonstrate that the bra-ket approach greatly simplifies the computation of the inertia tensor with an example of an N-dimensional ellipsoid. The exploitation of the bra-ket notation to compute the inertia tensor in classical mechanics should provide undergraduate students with a strong background necessary to deal with abstract quantum mechanical problems. PACS numbers: 01.40.Fk, 01.55.+b, 45.20.dc, 45.40.Bb Keywords: Classical mechanics, Inertia tensor, Bra-ket notation, Diagonalization, Hyperellipsoid arXiv:2012.13347v1 [physics.class-ph] 15 Dec 2020 ∗Electronic address: [email protected]; Director of the Korea Pragmatist Organization for Physics Educa- tion (KPOP E) 1 I. INTRODUCTION The inertia tensor is one of the essential ingredients in classical mechanics with which one can investigate the rotational properties of rigid-body motion [1]. The symmetric nature of the rank-2 Cartesian tensor guarantees that it is described by three fundamental parameters called the principal moments of inertia Ii, each of which is the moment of inertia along a principal axis. -
1.3 Cartesian Tensors a Second-Order Cartesian Tensor Is Defined As A
1.3 Cartesian tensors A second-order Cartesian tensor is defined as a linear combination of dyadic products as, T Tijee i j . (1.3.1) The coefficients Tij are the components of T . A tensor exists independent of any coordinate system. The tensor will have different components in different coordinate systems. The tensor T has components Tij with respect to basis {ei} and components Tij with respect to basis {e i}, i.e., T T e e T e e . (1.3.2) pq p q ij i j From (1.3.2) and (1.2.4.6), Tpq ep eq TpqQipQjqei e j Tij e i e j . (1.3.3) Tij QipQjqTpq . (1.3.4) Similarly from (1.3.2) and (1.2.4.6) Tij e i e j Tij QipQjqep eq Tpqe p eq , (1.3.5) Tpq QipQjqTij . (1.3.6) Equations (1.3.4) and (1.3.6) are the transformation rules for changing second order tensor components under change of basis. In general Cartesian tensors of higher order can be expressed as T T e e ... e , (1.3.7) ij ...n i j n and the components transform according to Tijk ... QipQjqQkr ...Tpqr... , Tpqr ... QipQjqQkr ...Tijk ... (1.3.8) The tensor product S T of a CT(m) S and a CT(n) T is a CT(m+n) such that S T S T e e e e e e . i1i2 im j1j 2 jn i1 i2 im j1 j2 j n 1.3.1 Contraction T Consider the components i1i2 ip iq in of a CT(n). -
Tensors (Draft Copy)
TENSORS (DRAFT COPY) LARRY SUSANKA Abstract. The purpose of this note is to define tensors with respect to a fixed finite dimensional real vector space and indicate what is being done when one performs common operations on tensors, such as contraction and raising or lowering indices. We include discussion of relative tensors, inner products, symplectic forms, interior products, Hodge duality and the Hodge star operator and the Grassmann algebra. All of these concepts and constructions are extensions of ideas from linear algebra including certain facts about determinants and matrices, which we use freely. None of them requires additional structure, such as that provided by a differentiable manifold. Sections 2 through 11 provide an introduction to tensors. In sections 12 through 25 we show how to perform routine operations involving tensors. In sections 26 through 28 we explore additional structures related to spaces of alternating tensors. Our aim is modest. We attempt only to create a very structured develop- ment of tensor methods and vocabulary to help bridge the gap between linear algebra and its (relatively) benign notation and the vast world of tensor ap- plications. We (attempt to) define everything carefully and consistently, and this is a concise repository of proofs which otherwise may be spread out over a book (or merely referenced) in the study of an application area. Many of these applications occur in contexts such as solid-state physics or electrodynamics or relativity theory. Each subject area comes equipped with its own challenges: subject-specific vocabulary, traditional notation and other conventions. These often conflict with each other and with modern mathematical practice, and these conflicts are a source of much confusion. -
1 Vectors & Tensors
1 Vectors & Tensors The mathematical modeling of the physical world requires knowledge of quite a few different mathematics subjects, such as Calculus, Differential Equations and Linear Algebra. These topics are usually encountered in fundamental mathematics courses. However, in a more thorough and in-depth treatment of mechanics, it is essential to describe the physical world using the concept of the tensor, and so we begin this book with a comprehensive chapter on the tensor. The chapter is divided into three parts. The first part covers vectors (§1.1-1.7). The second part is concerned with second, and higher-order, tensors (§1.8-1.15). The second part covers much of the same ground as done in the first part, mainly generalizing the vector concepts and expressions to tensors. The final part (§1.16-1.19) (not required in the vast majority of applications) is concerned with generalizing the earlier work to curvilinear coordinate systems. The first part comprises basic vector algebra, such as the dot product and the cross product; the mathematics of how the components of a vector transform between different coordinate systems; the symbolic, index and matrix notations for vectors; the differentiation of vectors, including the gradient, the divergence and the curl; the integration of vectors, including line, double, surface and volume integrals, and the integral theorems. The second part comprises the definition of the tensor (and a re-definition of the vector); dyads and dyadics; the manipulation of tensors; properties of tensors, such as the trace, transpose, norm, determinant and principal values; special tensors, such as the spherical, identity and orthogonal tensors; the transformation of tensor components between different coordinate systems; the calculus of tensors, including the gradient of vectors and higher order tensors and the divergence of higher order tensors and special fourth order tensors. -
ROTATION: a Review of Useful Theorems Involving Proper Orthogonal Matrices Referenced to Three- Dimensional Physical Space
Unlimited Release Printed May 9, 2002 ROTATION: A review of useful theorems involving proper orthogonal matrices referenced to three- dimensional physical space. Rebecca M. Brannon† and coauthors to be determined †Computational Physics and Mechanics T Sandia National Laboratories Albuquerque, NM 87185-0820 Abstract Useful and/or little-known theorems involving33× proper orthogonal matrices are reviewed. Orthogonal matrices appear in the transformation of tensor compo- nents from one orthogonal basis to another. The distinction between an orthogonal direction cosine matrix and a rotation operation is discussed. Among the theorems and techniques presented are (1) various ways to characterize a rotation including proper orthogonal tensors, dyadics, Euler angles, axis/angle representations, series expansions, and quaternions; (2) the Euler-Rodrigues formula for converting axis and angle to a rotation tensor; (3) the distinction between rotations and reflections, along with implications for “handedness” of coordinate systems; (4) non-commu- tivity of sequential rotations, (5) eigenvalues and eigenvectors of a rotation; (6) the polar decomposition theorem for expressing a general deformation as a se- quence of shape and volume changes in combination with pure rotations; (7) mix- ing rotations in Eulerian hydrocodes or interpolating rotations in discrete field approximations; (8) Rates of rotation and the difference between spin and vortici- ty, (9) Random rotations for simulating crystal distributions; (10) The principle of material frame indifference (PMFI); and (11) a tensor-analysis presentation of classical rigid body mechanics, including direct notation expressions for momen- tum and energy and the extremely compact direct notation formulation of Euler’s equations (i.e., Newton’s law for rigid bodies). -
PHYSICS 116A Homework 9 Solutions 1. Boas, Problem 3.12–4
PHYSICS 116A Homework 9 Solutions 1. Boas, problem 3.12–4. Find the equations of the following conic, 2 2 3x + 8xy 3y = 8 , (1) − relative to the principal axes. In matrix form, Eq. (1) can be written as: 3 4 x (x y) = 8 . 4 3 y − I could work out the eigenvalues by solving the characteristic equation. But, in this case I can work them out by inspection by noting that for the matrix 3 4 M = , 4 3 − we have λ1 + λ2 = Tr M = 0 , λ1λ2 = det M = 25 . − It immediately follows that the two eigenvalues are λ1 = 5 and λ2 = 5. Next, we compute the − eigenvectors. 3 4 x x = 5 4 3 y y − yields one independent relation, x = 2y. Thus, the normalized eigenvector is x 1 2 = . y √5 1 λ=5 Since M is a real symmetric matrix, the two eigenvectors are orthogonal. It follows that the second normalized eigenvector is: x 1 1 = − . y − √5 2 λ= 5 The two eigenvectors form the columns of the diagonalizing matrix, 1 2 1 C = − . (2) √5 1 2 Since the eigenvectors making up the columns of C are real orthonormal vectors, it follows that C is a real orthogonal matrix, which satisfies C−1 = CT. As a check, we make sure that C−1MC is diagonal. −1 1 2 1 3 4 2 1 1 2 1 10 5 5 0 C MC = − = = . 5 1 2 4 3 1 2 5 1 2 5 10 0 5 − − − − − 1 Following eq. (12.3) on p. -
Spin in Relativistic Quantum Theory∗
Spin in relativistic quantum theory∗ W. N. Polyzou, Department of Physics and Astronomy, The University of Iowa, Iowa City, IA 52242 W. Gl¨ockle, Institut f¨urtheoretische Physik II, Ruhr-Universit¨at Bochum, D-44780 Bochum, Germany H. Wita la M. Smoluchowski Institute of Physics, Jagiellonian University, PL-30059 Krak´ow,Poland today Abstract We discuss the role of spin in Poincar´einvariant formulations of quan- tum mechanics. 1 Introduction In this paper we discuss the role of spin in relativistic few-body models. The new feature with spin in relativistic quantum mechanics is that sequences of rotationless Lorentz transformations that map rest frames to rest frames can generate rotations. To get a well-defined spin observable one needs to define it in one preferred frame and then use specific Lorentz transformations to relate the spin in the preferred frame to any other frame. Different choices of the preferred frame and the specific Lorentz transformations lead to an infinite number of possible observables that have all of the properties of a spin. This paper provides a general discussion of the relation between the spin of a system and the spin of its elementary constituents in relativistic few-body systems. In section 2 we discuss the Poincar´egroup, which is the group relating inertial frames in special relativity. Unitary representations of the Poincar´e group preserve quantum probabilities in all inertial frames, and define the rel- ativistic dynamics. In section 3 we construct a large set of abstract operators out of the Poincar´egenerators, and determine their commutation relations and ∗During the preparation of this paper Walter Gl¨ockle passed away. -
Curvilinear Coordinates
UNM SUPPLEMENTAL BOOK DRAFT June 2004 Curvilinear Analysis in a Euclidean Space Presented in a framework and notation customized for students and professionals who are already familiar with Cartesian analysis in ordinary 3D physical engineering space. Rebecca M. Brannon Written by Rebecca Moss Brannon of Albuquerque NM, USA, in connection with adjunct teaching at the University of New Mexico. This document is the intellectual property of Rebecca Brannon. Copyright is reserved. June 2004 Table of contents PREFACE ................................................................................................................. iv Introduction ............................................................................................................. 1 Vector and Tensor Notation ........................................................................................................... 5 Homogeneous coordinates ............................................................................................................. 10 Curvilinear coordinates .................................................................................................................. 10 Difference between Affine (non-metric) and Metric spaces .......................................................... 11 Dual bases for irregular bases .............................................................................. 11 Modified summation convention ................................................................................................... 15 Important notation -
Infeld–Van Der Waerden Wave Functions for Gravitons and Photons
Vol. 38 (2007) ACTA PHYSICA POLONICA B No 8 INFELD–VAN DER WAERDEN WAVE FUNCTIONS FOR GRAVITONS AND PHOTONS J.G. Cardoso Department of Mathematics, Centre for Technological Sciences-UDESC Joinville 89223-100, Santa Catarina, Brazil [email protected] (Received March 20, 2007) A concise description of the curvature structures borne by the Infeld- van der Waerden γε-formalisms is provided. The derivation of the wave equations that control the propagation of gravitons and geometric photons in generally relativistic space-times is then carried out explicitly. PACS numbers: 04.20.Gr 1. Introduction The most striking physical feature of the Infeld-van der Waerden γε-formalisms [1] is related to the possible occurrence of geometric wave functions for photons in the curvature structures of generally relativistic space-times [2]. It appears that the presence of intrinsically geometric elec- tromagnetic fields is ultimately bound up with the imposition of a single condition upon the metric spinors for the γ-formalism, which bears invari- ance under the action of the generalized Weyl gauge group [1–5]. In the case of a spacetime which admits nowhere-vanishing Weyl spinor fields, back- ground photons eventually interact with underlying gravitons. Nevertheless, the corresponding coupling configurations turn out to be in both formalisms exclusively borne by the wave equations that control the electromagnetic propagation. Indeed, the same graviton-photon interaction prescriptions had been obtained before in connection with a presentation of the wave equations for the ε-formalism [6, 7]. As regards such earlier works, the main procedure seems to have been based upon the implementation of a set of differential operators whose definitions take up suitably contracted two- spinor covariant commutators. -
Tensor Categorical Foundations of Algebraic Geometry
Tensor categorical foundations of algebraic geometry Martin Brandenburg { 2014 { Abstract Tannaka duality and its extensions by Lurie, Sch¨appi et al. reveal that many schemes as well as algebraic stacks may be identified with their tensor categories of quasi-coherent sheaves. In this thesis we study constructions of cocomplete tensor categories (resp. cocontinuous tensor functors) which usually correspond to constructions of schemes (resp. their morphisms) in the case of quasi-coherent sheaves. This means to globalize the usual local-global algebraic geometry. For this we first have to develop basic commutative algebra in an arbitrary cocom- plete tensor category. We then discuss tensor categorical globalizations of affine morphisms, projective morphisms, immersions, classical projective embeddings (Segre, Pl¨ucker, Veronese), blow-ups, fiber products, classifying stacks and finally tangent bundles. It turns out that the universal properties of several moduli spaces or stacks translate to the corresponding tensor categories. arXiv:1410.1716v1 [math.AG] 7 Oct 2014 This is a slightly expanded version of the author's PhD thesis. Contents 1 Introduction 1 1.1 Background . .1 1.2 Results . .3 1.3 Acknowledgements . 13 2 Preliminaries 14 2.1 Category theory . 14 2.2 Algebraic geometry . 17 2.3 Local Presentability . 21 2.4 Density and Adams stacks . 22 2.5 Extension result . 27 3 Introduction to cocomplete tensor categories 36 3.1 Definitions and examples . 36 3.2 Categorification . 43 3.3 Element notation . 46 3.4 Adjunction between stacks and cocomplete tensor categories . 49 4 Commutative algebra in a cocomplete tensor category 53 4.1 Algebras and modules . 53 4.2 Ideals and affine schemes . -
A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement
Linkoping¨ Studies in Science and Technology Dissertation No. 1171 A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement Bjorn¨ Svensson Department of Biomedical Engineering Linkopings¨ universitet SE-581 85 Linkoping,¨ Sweden http://www.imt.liu.se Linkoping,¨ April 2008 A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement c 2008 Bjorn¨ Svensson Department of Biomedical Engineering Linkopings¨ universitet SE-581 85 Linkoping,¨ Sweden ISBN 978-91-7393-943-0 ISSN 0345-7524 Printed in Linkoping,¨ Sweden by LiU-Tryck 2008 Abstract Filtering is a fundamental operation in image science in general and in medical image science in particular. The most central applications are image enhancement, registration, segmentation and feature extraction. Even though these applications involve non-linear processing a majority of the methodologies available rely on initial estimates using linear filters. Linear filtering is a well established corner- stone of signal processing, which is reflected by the overwhelming amount of literature on finite impulse response filters and their design. Standard techniques for multidimensional filtering are computationally intense. This leads to either a long computation time or a performance loss caused by approximations made in order to increase the computational efficiency. This dis- sertation presents a framework for realization of efficient multidimensional filters. A weighted least squares design criterion ensures preservation of the performance and the two techniques called filter networks and sub-filter sequences significantly reduce the computational demand. A filter network is a realization of a set of filters, which are decomposed into a structure of sparse sub-filters each with a low number of coefficients. -
Dual Electromagnetism: Helicity, Spin, Momentum, and Angular Momentum Konstantin Y
Dual electromagnetism: Helicity, spin, momentum, and angular momentum Konstantin Y. Bliokh1,2, Aleksandr Y. Bekshaev3, and Franco Nori1,4 1Advanced Science Institute, RIKEN, Wako-shi, Saitama 351-0198, Japan 2A. Usikov Institute of Radiophysics and Electronics, NASU, Kharkov 61085, Ukraine 3I. I. Mechnikov National University, Dvorianska 2, Odessa, 65082, Ukraine 4Physics Department, University of Michigan, Ann Arbor, Michigan 48109-1040, USA The dual symmetry between electric and magnetic fields is an important intrinsic property of Maxwell equations in free space. This symmetry underlies the conservation of optical helicity, and, as we show here, is closely related to the separation of spin and orbital degrees of freedom of light (the helicity flux coincides with the spin angular momentum). However, in the standard field-theory formulation of electromagnetism, the field Lagrangian is not dual symmetric. This leads to problematic dual-asymmetric forms of the canonical energy-momentum, spin, and orbital angular momentum tensors. Moreover, we show that the components of these tensors conflict with the helicity and energy conservation laws. To resolve this discrepancy between the symmetries of the Lagrangian and Maxwell equations, we put forward a dual-symmetric Lagrangian formulation of classical electromagnetism. This dual electromagnetism preserves the form of Maxwell equations, yields meaningful canonical energy-momentum and angular momentum tensors, and ensures a self-consistent separation of the spin and orbital degrees of freedom. This provides rigorous derivation of results suggested in other recent approaches. We make the Noether analysis of the dual symmetry and all the Poincaré symmetries, examine both local and integral conserved quantities, and show that only the dual electromagnetism naturally produces a complete self-consistent set of conservation laws.