Classical Mechanics MATRICES AND TRANSFORMATIONS MISN by C. P. Frahm. 1. Introduction Procedures... 1 Acknowledgments...

Similar documents
Solid State Physics LATTICE DEFECTS MISN LATTICE DEFECTS by K. Jesse

HARMONIC OSCILLATOR I

Electricity and Magnetism

xn+1 = anxn + bnxn-1 THE NUMEROV ALGORITHM FOR SATELLITE ORBITS x 4 x(t) MISN by Peter Signell

Electricity and Magnetism

Classical Mechanics NEWTONIAN SYSTEM OF PARTICLES MISN NEWTONIAN SYSTEM OF PARTICLES by C. P. Frahm

GRAVITATIONAL POTENTIAL ENERGY

BREWSTER S LAW AND POLARIZATION

ORDINARY AND SUPER-BALL BOUNCES

ENERGY GRAPHS, MOTION, TURNING POINTS

THE HELIUM ATOM: AN INTUITIVE APPROACH

mean value WAVE FUNCTIONS, PROBABILITY, AND MEAN VALUES MISN by P. Signell 1. Definition of Uncertainty... 1

A CHARGED PARTICLE TRAJECTORY IN A MAGNETIC FIELD: CYCLOTRON ORBITS (A COMPUTER PROJECT) MISN-0-127

Classical Mechanics NEWTONIAN MECHANICS - SINGLE PARTICLE MISN by C. P. Frahm. 1. Introduction Procedures... 2 Acknowledgments...

TRANSLATIONAL & ROTATIONAL MOTION OF A RIGID BODY

AN INTERFERENCE PROJECT

CONSERVATION LAWS FOR ELEMENTARY PARTICLE REACTIONS

INTRODUCTION TO FLUID STATICS AND DYNAMICS

FUNDAMENTAL FORCES AND ELEMENTARY PARTICLE CLASSIFICATION. electron's neutrino. muon MISN-0-255

CONTINUOUS SPECTRA: PLANCK S LAW

ELECTROSTATIC POTENTIAL FROM DISTRIBUTED CHARGES

EXPONENTIAL DECAY: OBSERVATION, DERIVATION

FUNDAMENTAL FORCES: RANGES, INTERACTION TIMES, CROSS SECTIONS MISN by J. S. Kovacs and William C. Lane

TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS

DAMPED MECHANICAL OSCILLATIONS

ORBITS IN AN INVERSE-SQUARE-LAW FORCE FIELD: A COMPUTER PROJECT MISN A COMPUTER PROJECT by Peter Signell

ANALYSIS OF BUBBLE CHAMBER PHOTOGRAPHS

RELATIVE LINEAR MOTION, FRAMES OF REFERENCE

THE AMPERE-MAXWELL EQUATION; DISPLACEMENT CURRENT

ENERGY AND MOMENTUM IN ELECTROMAGNETIC WAVES

THE CAVENDISH EXPERIMENT

TWO-DIMENSIONAL MOTION

RESOLUTION AND DIFFRACTION

BASIC PROPERTIES OF WAVES

POTENTIAL ENERGY, CONSERVATION OF ENERGY

CHARACTERISTICS OF PHOTONS

Matrices BUSINESS MATHEMATICS

TOOLS FOR STATIC EQUILIBRIUM

[ Here 21 is the dot product of (3, 1, 2, 5) with (2, 3, 1, 2), and 31 is the dot product of

Phys 201. Matrices and Determinants

Matrix Algebra Determinant, Inverse matrix. Matrices. A. Fabretti. Mathematics 2 A.Y. 2015/2016. A. Fabretti Matrices

A matrix over a field F is a rectangular array of elements from F. The symbol

Cartesian Tensors. e 2. e 1. General vector (formal definition to follow) denoted by components

CS 143 Linear Algebra Review

Review of linear algebra

MATH2210 Notebook 2 Spring 2018

LS.1 Review of Linear Algebra

1 Matrices and Systems of Linear Equations. a 1n a 2n

Linear Algebra (Review) Volker Tresp 2017

Matrix Basic Concepts

Review of Linear Algebra

INSTITIÚID TEICNEOLAÍOCHTA CHEATHARLACH INSTITUTE OF TECHNOLOGY CARLOW MATRICES

Matrices Gaussian elimination Determinants. Graphics 2009/2010, period 1. Lecture 4: matrices

Linear Algebra (Review) Volker Tresp 2018

Linear Algebra. Min Yan

Elementary maths for GMT

Chapter 2. Ma 322 Fall Ma 322. Sept 23-27

Linear Algebra V = T = ( 4 3 ).

Graduate Mathematical Economics Lecture 1

1 Matrices and Systems of Linear Equations

Matrices. Math 240 Calculus III. Wednesday, July 10, Summer 2013, Session II. Matrices. Math 240. Definitions and Notation.

Linear Algebra 1 Exam 1 Solutions 6/12/3

Foundations of Matrix Analysis

ELEMENTARY LINEAR ALGEBRA

Concept: Solving Equations

Math 313 (Linear Algebra) Exam 2 - Practice Exam

The word Matrices is the plural of the word Matrix. A matrix is a rectangular arrangement (or array) of numbers called elements.

Intermediate Algebra

MAT 2037 LINEAR ALGEBRA I web:

The Matrix Representation of a Three-Dimensional Rotation Revisited

Linear Algebra: Lecture Notes. Dr Rachel Quinlan School of Mathematics, Statistics and Applied Mathematics NUI Galway

Graphics (INFOGR), , Block IV, lecture 8 Deb Panja. Today: Matrices. Welcome

1 The Basics: Vectors, Matrices, Matrix Operations

7.3. Determinants. Introduction. Prerequisites. Learning Outcomes

A = , A 32 = n ( 1) i +j a i j det(a i j). (1) j=1

COURSE OF STUDY MATHEMATICS

Lecture 4: Products of Matrices

Assignment 11 (C + C ) = (C + C ) = (C + C) i(c C ) ] = i(c C) (AB) = (AB) = B A = BA 0 = [A, B] = [A, B] = (AB BA) = (AB) AB

ICS141: Discrete Mathematics for Computer Science I

a 11 x 1 + a 12 x a 1n x n = b 1 a 21 x 1 + a 22 x a 2n x n = b 2.

Lecture 7: Vectors and Matrices II Introduction to Matrices (See Sections, 3.3, 3.6, 3.7 and 3.9 in Boas)

Matrix Algebra: Definitions and Basic Operations

Matrices. In this chapter: matrices, determinants. inverse matrix

Instruction: Operations with Matrices ( ) ( ) log 8 log 25 = If the corresponding elements do not equal, then the matrices are not equal.

Lecture 3: Matrix and Matrix Operations

ENGI 9420 Lecture Notes 2 - Matrix Algebra Page Matrix operations can render the solution of a linear system much more efficient.

Materials engineering Collage \\ Ceramic & construction materials department Numerical Analysis \\Third stage by \\ Dalya Hekmat

Notes on basis changes and matrix diagonalization

Matrices and Determinants

Prepared by: M. S. KumarSwamy, TGT(Maths) Page

CP3 REVISION LECTURES VECTORS AND MATRICES Lecture 1. Prof. N. Harnew University of Oxford TT 2013

Quantum Computing Lecture 2. Review of Linear Algebra

Lecture 35: The Inertia Tensor

Lecture 3 Linear Algebra Background

1 Matrices and matrix algebra

Chapter 4 - MATRIX ALGEBRA. ... a 2j... a 2n. a i1 a i2... a ij... a in

Cartesian Tensors. e 2. e 1. General vector (formal definition to follow) denoted by components

10: Representation of point group part-1 matrix algebra CHEMISTRY. PAPER No.13 Applications of group Theory

William Stallings Copyright 2010

Matrices and Vectors

Transcription:

MISN-0-491 Classical Mechanics by C. P. Frahm 1. Introduction.............................................. 1 2. Procedures................................................ 1 Acknowledgments............................................3 Project PHYSNET Physics Bldg. Michigan State University East Lansing, MI 1

ID Sheet: MISN-0-491 Title: Matrices and Transformations Author: C. P. Frahm, Physics Dept., Illinois State Univ Version: 2/1/2000 Length: 2 hr; 9 pages Input Skills: Evaluation: Stage B0 1. Vocabulary: coordinate system, Cartesian coordinate system, reference frame, inertial frame orthogonal coordinate systems, rectangular coordinate system, dipolar cylindrical coordinate system, coordinate transformation, commutative. 2. State the geometrical definition of a vector (MISN-0-2). 3. Express the projection of a vector on a coordinate axis as a magnitude times an appropriate trigonometric function (MISN-0-2). Output Skills (Knowledge): K1. Vocabulary: matrix, unit matrix, diagonal matrix, transpose of a matrix, inverse of a matrix, orthogonal matrix, scalar, vector, tensor. Output Skills (Rule Application): R1. Carry out these operations involving matrices: multiplication, addition, subtraction, multiplication by a scalar. R2. Determine the determinant and inverse of a square matrix. R3. Determine the transpose and inverse of a product of matrices. Output Skills (Problem Solving): S1. Given a position coordinate or an arbitrary vector, perform a coordinate rotation both symbolically (in terms of matrices) and numerically. External Resources (Required): 1. J. Marion, Classical Dynamics, Academic Press (1988). THIS IS A DEVELOPMENTAL-STAGE PUBLICATION OF PROJECT PHYSNET The goal of our project is to assist a network of educators and scientists in transferring physics from one person to another. We support manuscript processing and distribution, along with communication and information systems. We also work with employers to identify basic scientific skills as well as physics topics that are needed in science and technology. A number of our publications are aimed at assisting users in acquiring such skills. Our publications are designed: (i) to be updated quickly in response to field tests and new scientific developments; (ii) to be used in both classroom and professional settings; (iii) to show the prerequisite dependencies existing among the various chunks of physics knowledge and skill, as a guide both to mental organization and to use of the materials; and (iv) to be adapted quickly to specific user needs ranging from single-skill instruction to complete custom textbooks. New authors, reviewers and field testers are welcome. PROJECT STAFF Andrew Schnepp Eugene Kales Peter Signell Webmaster Graphics Project Director ADVISORY COMMITTEE D. Alan Bromley Yale University E. Leonard Jossem The Ohio State University A. A. Strassenburg S. U. N. Y., Stony Brook Views expressed in a module are those of the module author(s) and are not necessarily those of other project participants. c 2001, Peter Signell for Project PHYSNET, Physics-Astronomy Bldg., Mich. State Univ., E. Lansing, MI 48824; (517) 355-3784. For our liberal use policies see: http://www.physnet.org/home/modules/license.html. 3 4

MISN-0-491 1 by C. P. Frahm 1. Introduction In most introductory mechanics courses the emphasis is on the application of the laws of mechanics to various mechanical systems. It is tacitly, if not explicitly, assumed that the calculations are made entirely within one reference frame and, in fact, relative to a single coordinate system fixed in that frame. Usually no time is devoted to the problem of converting the description of the motion relative to one coordinate system into the appropriate description relative to another coordinate system. However, such conversion problems are important for at least two reasons. First, there is one of practicality - it is quite often advantageous, either for conceptual or calculational purposes, to move back and forth between two or more coordinate systems and/or reference frames. That is, the problem may be simpler in one system than another. Secondly, and more fundamentally, there is a very strong feeling among most practicing physicists that the laws of physics should have the same form in all inertial frames. This means that the laws of physics must be constructed in such a way that when they are transformed from one frame to another, their form does not change. Hence, it should be clear that a study of transformations is an important part of advanced mechanics. Certain kinds of transformations - those relating descriptions of vector quantities in rotated orthogonal coordinate systems - are very conveniently handled in matrix language while other more complicated transformations are best handled in the language of tensors. This unit is concerned with the fundamental ideas associated with matrices and transformations. 2. Procedures 1. Read Marion, Sections 1.1-1.9. Write down definitions of the quantities listed in Output Skill K1. Your definition of a matrix should include the multiplication rule, i.e., AB = C j A ij B jk = C ik. MISN-0-491 2 In eq. (1.44) of Marion, a vector is defined to be a quantity which relative to an orthogonal coordinate system has three components and these three components behave in a certain way under coordinate rotations, namely: A i = λ ij A j. j Tensors are defined in a similar way. An n th rank tensor is a quantity which has 3 components and transforms like a product of n vectors. (Note that vectors are first rank tensors while scalars are zeroth rank tensors). Thus under rotations a second rank tensor transforms like: T kl = ij λ ki λ lj T ij, while a third-rank tensor transforms according to: T klm = hij 2. Work problem 1-4 in Marion. Work these exercises: (1) Evaluate the product ( 1 2 2 1 (2) Given find: A = 2 0 1 1 5 2 2 1 1 λ kh λ li λ mj T hij. ) ( 2 1 0 4, B = A 2, AB, BA, B 2. ). 2 1 4 1 1 2 3 0 1, (3) Using A and B of part (2), evaluate (AB) t and B t A t separately and compare. (4) Using A and B of part (2), evaluate deta, A 1, detb, B 1. Check your results by evaluating AA 1 and BB 1. 5 6

MISN-0-491 3 (5) Using A and B of part (2) and the preceding results, evaluate: ( ) 3 5 A + BA 1 B. (6) Given: P = ( 1 3 2 5 0 1 6 3 ), Q = 2 4 0 1 3 2 1 3, evaluate P Q and QP. If another column of numbers were added to Q so that it would have three columns and four rows, would P Q still be meaningful? How about QP? 3. Work problems 1-3 and 1-6 in Marion. If a certain point has coordinates (x, y, z) = (2, 1, 3) in the original coordinate system of problem 1-1 of Marion, what are the coordinates of this same physical point in the rotated coordinated system? The momentum of a particle as described in the original coordinate system of problem 1-3 of Marion is given by p = (2 ˆl 1 5 ˆl 2 + 3 ˆl 3 ) gm cm/sec, where the hats denote unit vectors. What is the momentum of this same particle as described in the rotated coordinate system? Are the physically important quantities, magnitude and direction, altered by the transformation? Acknowledgments The author would like to thank Illinois State University for support in the construction of this lesson. Preparation of this module was supported in part by the National Science Foundation, Division of Science Education Development and Research, through Grant #SED 74-20088 to Michigan State University. 7 8

9