Mechanics Physics 151

Size: px
Start display at page:

Download "Mechanics Physics 151"

Transcription

1 Mechanics Phsics 151 Lecture 8 Rigid Bod Motion (Chapter 4) What We Did Last Time! Discussed scattering problem! Foundation for all experimental phsics! Defined and calculated cross sections! Differential cross section and impact parameter! Rutherford scattering! Translated into laborator sstem! Angular translation + Jacobian! Shape of σ(θ) changes σ ( Θ ) = Nhits s sin = I σ ds Θ dθ

2 Goals For Toda! Start discussing rigid-bod motion! Multi-particle sstem with fixed shape! Concentrate on representing the rotation! Which generalized coordinates should we use?! Define Euler angles! Define infinitesimal rotation! Will use this for angular velocities, etc! Toda s lecture is largel mathematical! Assume knowledge of linear algebra Rigid Bod! Multi-particle sstem with fixed distances! Constraints: r = r r = const for all i, j ij i j! How should we define generalized coordinates?! How man independent coordinates are there?! If ou start from 3N and subtract the number of constraints 2 N( N 1) 7N N 3N = 0 for N Not all the constraints are independent! Right answer: 3 translation and 3 rotation = 6 Toda s theme

3 2-D Rotation! 2-dimensional rotation is specified b a 2 2 matrix x cosθ sinθ x = sinθ cosθ j i x j i i i j x θ x = j i j j i! Tr the same thing with 3-d rotation z z x x 3D Rotation! Vector r is represented in x--z and x - -z as r = xi+ j + zk = x i + j + z k! Using angles θ ij between two axes x = r i = xi i + j i + zk i = cosθ x + cosθ + cosθ z = cosθ21x+ cosθ22 + cosθ23z z = cosθ x+ cosθ + cosθ z x θ x 11 or x cosθ11 cosθ12 cosθ13 x = cosθ cosθ cosθ z cosθ31 cosθ32 cosθ 33 z z θ 13 z θ 12

4 3D Rotation! Simplif formulae b renaming ( x, z, ) ( x, x, x) x z x1 x2 x3! Rotation is now expressed b x = cosθ x = a x = a x! We got 9 parameters a ij to describe a 3-d rotation! Onl 3 are independent (,, ) (,, ) i ij j ij j ij j j j Einstein convention: Implicit summation over repeated index Constraints of Rotation! Rotation cannot change the length of an vector! Exactl the constraints we need for rigid bod motion 2 r = xx = xx i i i i! Using the transformation matrix x = ax x = x a x a x i ij j therefore aa i i ij j ik k 1 ( j = k) = δ 0 ( j k) ij ik jk! Matrix A = [a ij ] is orthogonal AA! = 1 Transpose of A 6 conditions reduces free parameters from 9 to 3

5 Orthogonal Matrix! Goldstein Section 4.3 covers algebra of matrices! You must have learned this alread! Orthogonal matrix A satisfies AA! = 1! Consider the determinants 2 AA! = A! A = A =1 A =± 1! A = +1 " proper matrix! A = 1 " improper matrix A a a a = a21 a22 a 23 a31 a32 a 33 aa = δ ij ik jk Transposed matrix Space Inversion! Space inversion is represented b r = r = Sr r S = ! S is orthogonal Doesn t change distances! But it cannot be a rotation! Coordinate axes invert to become left-handed! Orthogonal matrices with A = 1 does this! Rigid bod rotation is represented b proper orthogonal matrices

6 Rotation Matrix! A operating on r can be interpreted as! Rotating r around an axis b an angle! Positive angle = clockwise rotation! Rotating the coordinate axes around the same axis b the same angle in the opposite direction! Positive angle = counter clockwise rotation! Both interpretations are useful! We are more interested in the latter for now! How do we write A with 3 parameters?! There are man was = r Ar Euler Angles! Transform x--z to x - -z in 3 steps ( x, z, ) x ( ξ, η, ζ ) ( ξ, η, ζ ) ( x,, z ) z ζ φ ξ η Rotate CCW b φ around z axis Rotate CCW b θ around ξ axis Rotate CCW b ψ around ζ axis ζ z θ x ξ η z x Dx CDx Ax = BCDx z x ψ x

7 Euler Angles cosφ sinφ 0 D = sinφ cosφ C = 0 cosθ sinθ 0 sinθ cosθ! Definition of Euler angles is somewhat arbitrar! Ma rotate around different axes in different order! Man conventions exist Watch out! cosψ sinψ 0 B = sinψ cosψ cosψ cosφ cosθ sinφsinψ cosψ sinφ + cosθ cosφsinψ sinψ sinθ A = sinψ cosφ cosθ sinφcosψ sinψ sinφ cosθ cosφcosψ cosψ sinθ + sinθsinφ sinθ cosφ cosθ Rigid Bod Motion! Motion of a rigid bod can be described b:! Define x - -z axes (bod axes) attached to the rigid bod! Same direction as x--z (space axes) at t = 0! Origin fixed at one point of the rigid bod (e.g. CoM)! Use R(t) to describe the motion of the origin! Use A(t) to describe the rotation of the x - -z axes! Use Euler angles φ(t), θ(t), ψ(t)! A(0) = 1 " φ(0) = θ(0) = ψ(0) = 0! 6 independent coordinates (x,, z, φ, θ, ψ)

8 Euler s Theorem The general displacement of a rigid bod with one point fixed is a rotation about some axis! In other words! Arbitrar 3-d rotation equals to one rotation around an axis! An 3-d rotation leaves one vector unchanged! For an rotation matrix A! There exists a vector r that satisfies! A has an eigenvalue of 1 Ar = r Eigenvector with eigenvalue 1 Euler s Theorem! If a matrix A satisfies Ar = r ( A 1) r = 0 A 1= 0 or r = 0 or A-1 = 0 1! Since A = A! ( A 1) A=1! A! A 1 A! = 1 A! A 1 = 1 A! For odd-dimensioned matrices A 1 = A 1 =0 Q.E.D. M = M

9 Rotation Vector?! Euler s theorem provides another wa of describing 3-d rotation! Direction of axis (2 parameters) and angle of rotation (1)! It sounds a bit like angular momentum! Critical difference: commutativit! Angular momentum is a vector! Two angular momenta can be added in an order! Rotation is not a vector! Two rotations add up differentl depending on which rotation is made first Infinitesimal Rotation! Small (infinitesimal) rotations are commutative! The can be represented b vectors! We also need them to describe how a rigid bod changes orientation with time! Infinitesimal rotation must be close to non-rotation x = x + ε x or x = ( 1+ ε) x ε " 1 i i ij j! Two successive infinitesimal rotations make ( 1+ ε1)( 1+ ε2) = 1+ ε1+ ε2 + εε 1 2 = 1+ ε + ε 1 2! Obviousl commutative ij 2 nd order of ε vanishes

10 Infinitesimal Rotation! Inverse of an infinitesimal rotation is ( 1+ ε) 1 = 1 ε 1! Using A = A! 1+ ε! = 1 ε ε! = ε ε is antismmetric! We can write ε as 0 dω3 dω2 ε = d 3 0 d Ω Ω1 dω2 dω1 0 ( 1+ ε)( 1 ε) = 1+ ε ε= 1 dω = ( dω1, dω2, dω3) behaves almost like a vector We ll see Infinitesimal Rotation! A vector r is rotated b (1 + ε) as r = ( 1+ ε) r 0 dω3 dω2 x1 dr r r = εr = d 3 0 d 1 x Ω Ω 2 = r dω dω2 dω1 0 x 3! Euler s theorem sas this equals to a n rotation b an infinitesimal angle dφ dφ around an axis n dr = r ndφ dω = ndφ dr r

11 Axial Vector! dω behaves prett much like a vector! dω rotates the same wa as r with coordinate rotations! Space inversion S reveals difference! Ordinar vector flips r = Sr = r dω = dω! dω doesn t ( dr) = r dω = dr = r dω = r dω! Such a vector is called an axial vector! Examples: angular momentum, magnetic field Parit! Parit operator P represents space inversion P ( x, z, ) ( x,, z) Quantit Scalar Pseudoscalar Vector Axial vector Parit PS = S PS * = S * PV = V PV * = V * Eigenvalue * V V=V V V = S * * * V V =V * * V V = S * * S V=V * * S V =V etc.

12 Summar! Discussed 3-dimensional rotation! Preparation for rigid bod motion! Movement in 3-d + Rotation in 3-d = 6 coordinates! Looked for was to describe 3-d rotation! Euler angles one of the man possibilities! Euler s theorem! Defined infinitesimal rotation dω! Commutative (unlike finite rotation)! Behaves as an axial vector (like angular momentum)! Read to go back to phsics

CE 530 Molecular Simulation

CE 530 Molecular Simulation CE 530 Molecular Simulation Lecture 7 Beyond Atoms: Simulating Molecules David A. Kofke Department of Chemical Engineering SUNY Buffalo kofke@eng.buffalo.edu Review Fundamentals units, properties, statistical

More information

Lecture 37: Principal Axes, Translations, and Eulerian Angles

Lecture 37: Principal Axes, Translations, and Eulerian Angles Lecture 37: Principal Axes, Translations, and Eulerian Angles When Can We Find Principal Axes? We can always write down the cubic equation that one must solve to determine the principal moments But if

More information

Rotational motion of a rigid body spinning around a rotational axis ˆn;

Rotational motion of a rigid body spinning around a rotational axis ˆn; Physics 106a, Caltech 15 November, 2018 Lecture 14: Rotations The motion of solid bodies So far, we have been studying the motion of point particles, which are essentially just translational. Bodies with

More information

Differential Kinematics

Differential Kinematics Differential Kinematics Relations between motion (velocity) in joint space and motion (linear/angular velocity) in task space (e.g., Cartesian space) Instantaneous velocity mappings can be obtained through

More information

Lecture 38: Equations of Rigid-Body Motion

Lecture 38: Equations of Rigid-Body Motion Lecture 38: Equations of Rigid-Body Motion It s going to be easiest to find the equations of motion for the object in the body frame i.e., the frame where the axes are principal axes In general, we can

More information

Kinematics. Basilio Bona. Semester 1, DAUIN Politecnico di Torino. B. Bona (DAUIN) Kinematics Semester 1, / 15

Kinematics. Basilio Bona. Semester 1, DAUIN Politecnico di Torino. B. Bona (DAUIN) Kinematics Semester 1, / 15 Kinematics Basilio Bona DAUIN Politecnico di Torino Semester 1, 2014-15 B. Bona (DAUIN) Kinematics Semester 1, 2014-15 1 / 15 Introduction The kinematic quantities used are: position r, linear velocity

More information

Kinematics. Basilio Bona. October DAUIN - Politecnico di Torino. Basilio Bona (DAUIN - Politecnico di Torino) Kinematics October / 15

Kinematics. Basilio Bona. October DAUIN - Politecnico di Torino. Basilio Bona (DAUIN - Politecnico di Torino) Kinematics October / 15 Kinematics Basilio Bona DAUIN - Politecnico di Torino October 2013 Basilio Bona (DAUIN - Politecnico di Torino) Kinematics October 2013 1 / 15 Introduction The kinematic quantities used are: position r,

More information

Lecture 38: Equations of Rigid-Body Motion

Lecture 38: Equations of Rigid-Body Motion Lecture 38: Equations of Rigid-Body Motion It s going to be easiest to find the equations of motion for the object in the body frame i.e., the frame where the axes are principal axes In general, we can

More information

Infinitesimal Rotations

Infinitesimal Rotations Universit of Connecticut DigitalCommons@UConn Chemistr Education Materials Department of Chemistr Januar 007 Infinitesimal Rotations Carl W. David Universit of Connecticut, Carl.David@uconn.edu Follow

More information

Classical Mechanics. Luis Anchordoqui

Classical Mechanics. Luis Anchordoqui 1 Rigid Body Motion Inertia Tensor Rotational Kinetic Energy Principal Axes of Rotation Steiner s Theorem Euler s Equations for a Rigid Body Eulerian Angles Review of Fundamental Equations 2 Rigid body

More information

E 2 = p 2 + m 2. [J i, J j ] = iɛ ijk J k

E 2 = p 2 + m 2. [J i, J j ] = iɛ ijk J k 3.1. KLEIN GORDON April 17, 2015 Lecture XXXI Relativsitic Quantum Mechanics 3.1 Klein Gordon Before we get to the Dirac equation, let s consider the most straightforward derivation of a relativistically

More information

Introduction and Vectors Lecture 1

Introduction and Vectors Lecture 1 1 Introduction Introduction and Vectors Lecture 1 This is a course on classical Electromagnetism. It is the foundation for more advanced courses in modern physics. All physics of the modern era, from quantum

More information

Physics 411 Lecture 7. Tensors. Lecture 7. Physics 411 Classical Mechanics II

Physics 411 Lecture 7. Tensors. Lecture 7. Physics 411 Classical Mechanics II Physics 411 Lecture 7 Tensors Lecture 7 Physics 411 Classical Mechanics II September 12th 2007 In Electrodynamics, the implicit law governing the motion of particles is F α = m ẍ α. This is also true,

More information

Scalar & Vector tutorial

Scalar & Vector tutorial Scalar & Vector tutorial scalar vector only magnitude, no direction both magnitude and direction 1-dimensional measurement of quantity not 1-dimensional time, mass, volume, speed temperature and so on

More information

PHYS 705: Classical Mechanics. Rigid Body Motion Introduction + Math Review

PHYS 705: Classical Mechanics. Rigid Body Motion Introduction + Math Review 1 PHYS 705: Classical Mechanics Rigid Body Motion Introduction + Math Review 2 How to describe a rigid body? Rigid Body - a system of point particles fixed in space i r ij j subject to a holonomic constraint:

More information

Additional Problem (HW 10)

Additional Problem (HW 10) 1 Housekeeping - Three more lectures left including today: Nov. 20 st, Nov. 27 th, Dec. 4 th - Final Eam on Dec. 11 th at 4:30p (Eploratory Planetary 206) 2 Additional Problem (HW 10) z h y O Choose origin

More information

Physics 342 Lecture 26. Angular Momentum. Lecture 26. Physics 342 Quantum Mechanics I

Physics 342 Lecture 26. Angular Momentum. Lecture 26. Physics 342 Quantum Mechanics I Physics 342 Lecture 26 Angular Momentum Lecture 26 Physics 342 Quantum Mechanics I Friday, April 2nd, 2010 We know how to obtain the energy of Hydrogen using the Hamiltonian operator but given a particular

More information

88 CHAPTER 3. SYMMETRIES

88 CHAPTER 3. SYMMETRIES 88 CHAPTER 3 SYMMETRIES 31 Linear Algebra Start with a field F (this will be the field of scalars) Definition: A vector space over F is a set V with a vector addition and scalar multiplication ( scalars

More information

Rigid Body Rotation. Speaker: Xiaolei Chen Advisor: Prof. Xiaolin Li. Department of Applied Mathematics and Statistics Stony Brook University (SUNY)

Rigid Body Rotation. Speaker: Xiaolei Chen Advisor: Prof. Xiaolin Li. Department of Applied Mathematics and Statistics Stony Brook University (SUNY) Rigid Body Rotation Speaker: Xiaolei Chen Advisor: Prof. Xiaolin Li Department of Applied Mathematics and Statistics Stony Brook University (SUNY) Content Introduction Angular Velocity Angular Momentum

More information

Physics 137A Quantum Mechanics Fall 2012 Midterm II - Solutions

Physics 137A Quantum Mechanics Fall 2012 Midterm II - Solutions Physics 37A Quantum Mechanics Fall 0 Midterm II - Solutions These are the solutions to the exam given to Lecture Problem [5 points] Consider a particle with mass m charge q in a simple harmonic oscillator

More information

Vectors in Three Dimensions and Transformations

Vectors in Three Dimensions and Transformations Vectors in Three Dimensions and Transformations University of Pennsylvania 1 Scalar and Vector Functions φ(q 1, q 2,...,q n ) is a scalar function of n variables φ(q 1, q 2,...,q n ) is independent of

More information

A set of N particles forms a rigid body if the distance between any 2 particles is fixed:

A set of N particles forms a rigid body if the distance between any 2 particles is fixed: Chapter Rigid Body Dynamics.1 Coordinates of a Rigid Body A set of N particles forms a rigid body if the distance between any particles is fixed: r ij r i r j = c ij = constant. (.1) Given these constraints,

More information

A Tutorial on Euler Angles and Quaternions

A Tutorial on Euler Angles and Quaternions A Tutorial on Euler Angles and Quaternions Moti Ben-Ari Department of Science Teaching Weimann Institute of Science http://www.weimann.ac.il/sci-tea/benari/ Version.0.1 c 01 17 b Moti Ben-Ari. This work

More information

PHY481: Electromagnetism

PHY481: Electromagnetism PHY481: Electromagnetism Vector tools Sorry, no office hours today I ve got to catch a plane for a meeting in Italy Lecture 3 Carl Bromberg - Prof. of Physics Cartesian coordinates Definitions Vector x

More information

PHY481: Electromagnetism

PHY481: Electromagnetism PHY481: Electromagnetism Vector tools Lecture 4 Carl Bromberg - Prof. of Physics Cartesian coordinates Definitions Vector x is defined relative to the origin of 1 coordinate system (x,y,z) In Cartsian

More information

PHYS 705: Classical Mechanics. Non-inertial Reference Frames Vectors in Rotating Frames

PHYS 705: Classical Mechanics. Non-inertial Reference Frames Vectors in Rotating Frames 1 PHYS 705: Classical Mechanics Non-inertial Reference Frames Vectors in Rotating Frames 2 Infinitesimal Rotations From our previous discussion, we have established that any orientation of a rigid body

More information

identify appropriate degrees of freedom and coordinates for a rigid body;

identify appropriate degrees of freedom and coordinates for a rigid body; Chapter 5 Rotational motion A rigid body is defined as a body (or collection of particles) where all mass points stay at the same relative distances at all times. This can be a continuous body, or a collection

More information

Kinematics. Basilio Bona. Semester 1, DAUIN Politecnico di Torino. B. Bona (DAUIN) Kinematics Semester 1, / 15

Kinematics. Basilio Bona. Semester 1, DAUIN Politecnico di Torino. B. Bona (DAUIN) Kinematics Semester 1, / 15 Kinematics Basilio Bona DAUIN Politecnico di Torino Semester 1, 2016-17 B. Bona (DAUIN) Kinematics Semester 1, 2016-17 1 / 15 Introduction The kinematic quantities used to represent a body frame are: position

More information

Angular momentum. Quantum mechanics. Orbital angular momentum

Angular momentum. Quantum mechanics. Orbital angular momentum Angular momentum 1 Orbital angular momentum Consider a particle described by the Cartesian coordinates (x, y, z r and their conjugate momenta (p x, p y, p z p. The classical definition of the orbital angular

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wave Phenomena Phsics 15c Lecture 13 Multi-Dimensional Waves (H&L Chapter 7) Term Paper Topics! Have ou found a topic for the paper?! 2/3 of the class have, or have scheduled a meeting with me! If ou haven

More information

1 Matrices and matrix algebra

1 Matrices and matrix algebra 1 Matrices and matrix algebra 1.1 Examples of matrices A matrix is a rectangular array of numbers and/or variables. For instance 4 2 0 3 1 A = 5 1.2 0.7 x 3 π 3 4 6 27 is a matrix with 3 rows and 5 columns

More information

16.1. PROBLEM SET I 197

16.1. PROBLEM SET I 197 6.. PROBLEM SET I 97 Answers: Problem set I. a In one dimension, the current operator is specified by ĵ = m ψ ˆpψ + ψˆpψ. Applied to the left hand side of the system outside the region of the potential,

More information

GG612 Lecture 3. Outline

GG612 Lecture 3. Outline GG61 Lecture 3 Strain and Stress Should complete infinitesimal strain by adding rota>on. Outline Matrix Opera+ons Strain 1 General concepts Homogeneous strain 3 Matrix representa>ons 4 Squares of line

More information

Phys 7221 Homework # 8

Phys 7221 Homework # 8 Phys 71 Homework # 8 Gabriela González November 15, 6 Derivation 5-6: Torque free symmetric top In a torque free, symmetric top, with I x = I y = I, the angular velocity vector ω in body coordinates with

More information

( ) ( ) ( ) ( ) TNM046: Datorgrafik. Transformations. Linear Algebra. Linear Algebra. Sasan Gooran VT Transposition. Scalar (dot) product:

( ) ( ) ( ) ( ) TNM046: Datorgrafik. Transformations. Linear Algebra. Linear Algebra. Sasan Gooran VT Transposition. Scalar (dot) product: TNM046: Datorgrafik Transformations Sasan Gooran VT 04 Linear Algebra ( ) ( ) =,, 3 =,, 3 Transposition t = 3 t = 3 Scalar (dot) product: Length (Norm): = t = + + 3 3 = = + + 3 Normaliation: ˆ = Linear

More information

Simultaneous Orthogonal Rotations Angle

Simultaneous Orthogonal Rotations Angle ELEKTROTEHNIŠKI VESTNIK 8(1-2): -11, 2011 ENGLISH EDITION Simultaneous Orthogonal Rotations Angle Sašo Tomažič 1, Sara Stančin 2 Facult of Electrical Engineering, Universit of Ljubljana 1 E-mail: saso.tomaic@fe.uni-lj.si

More information

Distance Between Ellipses in 2D

Distance Between Ellipses in 2D Distance Between Ellipses in 2D David Eberly, Geometric Tools, Redmond WA 98052 https://www.geometrictools.com/ This work is licensed under the Creative Commons Attribution 4.0 International License. To

More information

Quantum Mechanics II Lecture 11 (www.sp.phy.cam.ac.uk/~dar11/pdf) David Ritchie

Quantum Mechanics II Lecture 11 (www.sp.phy.cam.ac.uk/~dar11/pdf) David Ritchie Quantum Mechanics II Lecture (www.sp.phy.cam.ac.u/~dar/pdf) David Ritchie Michaelmas. So far we have found solutions to Section 4:Transitions Ĥ ψ Eψ Solutions stationary states time dependence with time

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wave Phenomena Phsics 15c Lecture 13 Multi-Dimensional Waves (H&L Chapter 7) Term Paper Topics! Have ou found a topic for the paper?! 2/3 of the class have, or have scheduled a meeting with me! If ou haven

More information

Rigid Body Transforms-3D. J.C. Dill transforms3d 27Jan99

Rigid Body Transforms-3D. J.C. Dill transforms3d 27Jan99 ESC 489 3D ransforms 1 igid Bod ransforms-3d J.C. Dill transforms3d 27Jan99 hese notes on (2D and) 3D rigid bod transform are currentl in hand-done notes which are being converted to this file from that

More information

Tensors, and differential forms - Lecture 2

Tensors, and differential forms - Lecture 2 Tensors, and differential forms - Lecture 2 1 Introduction The concept of a tensor is derived from considering the properties of a function under a transformation of the coordinate system. A description

More information

Generators for Continuous Coordinate Transformations

Generators for Continuous Coordinate Transformations Page 636 Lecture 37: Coordinate Transformations: Continuous Passive Coordinate Transformations Active Coordinate Transformations Date Revised: 2009/01/28 Date Given: 2009/01/26 Generators for Continuous

More information

CBE 6333, R. Levicky 1. Orthogonal Curvilinear Coordinates

CBE 6333, R. Levicky 1. Orthogonal Curvilinear Coordinates CBE 6333, R. Levicky 1 Orthogonal Curvilinear Coordinates Introduction. Rectangular Cartesian coordinates are convenient when solving problems in which the geometry of a problem is well described by the

More information

A A + B. ra + A + 1. We now want to solve the Einstein equations in the following cases:

A A + B. ra + A + 1. We now want to solve the Einstein equations in the following cases: Lecture 29: Cosmology Cosmology Reading: Weinberg, Ch A metric tensor appropriate to infalling matter In general (see, eg, Weinberg, Ch ) we may write a spherically symmetric, time-dependent metric in

More information

Linear Algebra Review. Vectors

Linear Algebra Review. Vectors Linear Algebra Review 9/4/7 Linear Algebra Review By Tim K. Marks UCSD Borrows heavily from: Jana Kosecka http://cs.gmu.edu/~kosecka/cs682.html Virginia de Sa (UCSD) Cogsci 8F Linear Algebra review Vectors

More information

MATH 423 Linear Algebra II Lecture 33: Diagonalization of normal operators.

MATH 423 Linear Algebra II Lecture 33: Diagonalization of normal operators. MATH 423 Linear Algebra II Lecture 33: Diagonalization of normal operators. Adjoint operator and adjoint matrix Given a linear operator L on an inner product space V, the adjoint of L is a transformation

More information

Green s Theorem Jeremy Orloff

Green s Theorem Jeremy Orloff Green s Theorem Jerem Orloff Line integrals and Green s theorem. Vector Fields Vector notation. In 8.4 we will mostl use the notation (v) = (a, b) for vectors. The other common notation (v) = ai + bj runs

More information

arxiv: v1 [math.ds] 18 Nov 2008

arxiv: v1 [math.ds] 18 Nov 2008 arxiv:0811.2889v1 [math.ds] 18 Nov 2008 Abstract Quaternions And Dynamics Basile Graf basile.graf@epfl.ch February, 2007 We give a simple and self contained introduction to quaternions and their practical

More information

Texture, Microstructure & Anisotropy A.D. (Tony) Rollett

Texture, Microstructure & Anisotropy A.D. (Tony) Rollett 1 Carnegie Mellon MRSEC 27-750 Texture, Microstructure & Anisotropy A.D. (Tony) Rollett Last revised: 5 th Sep. 2011 2 Show how to convert from a description of a crystal orientation based on Miller indices

More information

a(b + c) = ab + ac a, b, c k

a(b + c) = ab + ac a, b, c k Lecture 2. The Categories of Vector Spaces PCMI Summer 2015 Undergraduate Lectures on Flag Varieties Lecture 2. We discuss the categories of vector spaces and linear maps. Since vector spaces are always

More information

Physics 339 Euler Angles & Free Precession November 2017 Hamilton s Revenge

Physics 339 Euler Angles & Free Precession November 2017 Hamilton s Revenge Physics 339 Euler Angles & Free Precession November 217 Hamilton s Revenge As described in the textbook, Euler Angles are a way to specify the configuration of a 3d object. Starting from a fixed configuration

More information

Math Bootcamp An p-dimensional vector is p numbers put together. Written as. x 1 x =. x p

Math Bootcamp An p-dimensional vector is p numbers put together. Written as. x 1 x =. x p Math Bootcamp 2012 1 Review of matrix algebra 1.1 Vectors and rules of operations An p-dimensional vector is p numbers put together. Written as x 1 x =. x p. When p = 1, this represents a point in the

More information

Second quantization: where quantization and particles come from?

Second quantization: where quantization and particles come from? 110 Phys460.nb 7 Second quantization: where quantization and particles come from? 7.1. Lagrangian mechanics and canonical quantization Q: How do we quantize a general system? 7.1.1.Lagrangian Lagrangian

More information

1 GSW Gaussian Elimination

1 GSW Gaussian Elimination Gaussian elimination is probabl the simplest technique for solving a set of simultaneous linear equations, such as: = A x + A x + A x +... + A x,,,, n n = A x + A x + A x +... + A x,,,, n n... m = Am,x

More information

Math review. Math review

Math review. Math review Math review 1 Math review 3 1 series approximations 3 Taylor s Theorem 3 Binomial approximation 3 sin(x), for x in radians and x close to zero 4 cos(x), for x in radians and x close to zero 5 2 some geometry

More information

Tensor Analysis in Euclidean Space

Tensor Analysis in Euclidean Space Tensor Analysis in Euclidean Space James Emery Edited: 8/5/2016 Contents 1 Classical Tensor Notation 2 2 Multilinear Functionals 4 3 Operations With Tensors 5 4 The Directional Derivative 5 5 Curvilinear

More information

Chapter 8. Rigid transformations

Chapter 8. Rigid transformations Chapter 8. Rigid transformations We are about to start drawing figures in 3D. There are no built-in routines for this purpose in PostScript, and we shall have to start more or less from scratch in extending

More information

Some elements of vector and tensor analysis and the Dirac δ-function

Some elements of vector and tensor analysis and the Dirac δ-function Chapter 1 Some elements of vector and tensor analysis and the Dirac δ-function The vector analysis is useful in physics formulate the laws of physics independently of any preferred direction in space experimentally

More information

Introduction to Matrix Algebra

Introduction to Matrix Algebra Introduction to Matrix Algebra August 18, 2010 1 Vectors 1.1 Notations A p-dimensional vector is p numbers put together. Written as x 1 x =. x p. When p = 1, this represents a point in the line. When p

More information

Chapter 8 Vectors and Scalars

Chapter 8 Vectors and Scalars Chapter 8 193 Vectors and Scalars Chapter 8 Vectors and Scalars 8.1 Introduction: In this chapter we shall use the ideas of the plane to develop a new mathematical concept, vector. If you have studied

More information

Lecture 41: Highlights

Lecture 41: Highlights Lecture 41: Highlights The goal of this lecture is to remind you of some of the key points that we ve covered this semester Note that this is not the complete set of topics that may appear on the final

More information

A VERY BRIEF LINEAR ALGEBRA REVIEW for MAP 5485 Introduction to Mathematical Biophysics Fall 2010

A VERY BRIEF LINEAR ALGEBRA REVIEW for MAP 5485 Introduction to Mathematical Biophysics Fall 2010 A VERY BRIEF LINEAR ALGEBRA REVIEW for MAP 5485 Introduction to Mathematical Biophysics Fall 00 Introduction Linear Algebra, also known as matrix theory, is an important element of all branches of mathematics

More information

PHY 5246: Theoretical Dynamics, Fall Assignment # 7, Solutions. Θ = π 2ψ, (1)

PHY 5246: Theoretical Dynamics, Fall Assignment # 7, Solutions. Θ = π 2ψ, (1) PHY 546: Theoretical Dynamics, Fall 05 Assignment # 7, Solutions Graded Problems Problem ψ ψ ψ Θ b (.a) The scattering angle satisfies the relation Θ π ψ, () where ψ is the angle between the direction

More information

+ dxk. dt 2. dt Γi km dxm. . Its equations of motion are second order differential equations. with intitial conditions

+ dxk. dt 2. dt Γi km dxm. . Its equations of motion are second order differential equations. with intitial conditions Homework 7. Solutions 1 Show that great circles are geodesics on sphere. Do it a) using the fact that for geodesic, acceleration is orthogonal to the surface. b ) using straightforwardl equations for geodesics

More information

Assignment 6. Using the result for the Lagrangian for a double pendulum in Problem 1.22, we get

Assignment 6. Using the result for the Lagrangian for a double pendulum in Problem 1.22, we get Assignment 6 Goldstein 6.4 Obtain the normal modes of vibration for the double pendulum shown in Figure.4, assuming equal lengths, but not equal masses. Show that when the lower mass is small compared

More information

5.4 Given the basis e 1, e 2 write the matrices that represent the unitary transformations corresponding to the following changes of basis:

5.4 Given the basis e 1, e 2 write the matrices that represent the unitary transformations corresponding to the following changes of basis: 5 Representations 5.3 Given a three-dimensional Hilbert space, consider the two observables ξ and η that, with respect to the basis 1, 2, 3, arerepresentedby the matrices: ξ ξ 1 0 0 0 ξ 1 0 0 0 ξ 3, ξ

More information

UAV Coordinate Frames and Rigid Body Dynamics

UAV Coordinate Frames and Rigid Body Dynamics Brigham Young University BYU ScholarsArchive All Faculty Publications 24-- UAV oordinate Frames and Rigid Body Dynamics Randal Beard beard@byu.edu Follow this and additional works at: https://scholarsarchive.byu.edu/facpub

More information

PHYS Quantum Mechanics I - Fall 2011 Problem Set 7 Solutions

PHYS Quantum Mechanics I - Fall 2011 Problem Set 7 Solutions PHYS 657 - Fall PHYS 657 - Quantum Mechanics I - Fall Problem Set 7 Solutions Joe P Chen / joepchen@gmailcom For our reference, here are some useful identities invoked frequentl on this problem set: J

More information

Physics for Scientists and Engineers. Chapter 3 Vectors and Coordinate Systems

Physics for Scientists and Engineers. Chapter 3 Vectors and Coordinate Systems Phsics for Scientists and Engineers Chapter 3 Vectors and Coordinate Sstems Spring, 2008 Ho Jung Paik Coordinate Sstems Used to describe the position of a point in space Coordinate sstem consists of a

More information

CS 4300 Computer Graphics. Prof. Harriet Fell Fall 2011 Lecture 11 September 29, 2011

CS 4300 Computer Graphics. Prof. Harriet Fell Fall 2011 Lecture 11 September 29, 2011 CS 4300 Computer Graphics Prof. Harriet Fell Fall 2011 Lecture 11 September 29, 2011 October 8, 2011 College of Computer and Information Science, Northeastern Universit 1 Toda s Topics Linear Algebra Review

More information

Position and orientation of rigid bodies

Position and orientation of rigid bodies Robotics 1 Position and orientation of rigid bodies Prof. Alessandro De Luca Robotics 1 1 Position and orientation right-handed orthogonal Reference Frames RF A A z A p AB B RF B z B x B y A rigid body

More information

Linear Algebra & Geometry why is linear algebra useful in computer vision?

Linear Algebra & Geometry why is linear algebra useful in computer vision? Linear Algebra & Geometry why is linear algebra useful in computer vision? References: -Any book on linear algebra! -[HZ] chapters 2, 4 Some of the slides in this lecture are courtesy to Prof. Octavia

More information

4. Two-level systems. 4.1 Generalities

4. Two-level systems. 4.1 Generalities 4. Two-level systems 4.1 Generalities 4. Rotations and angular momentum 4..1 Classical rotations 4.. QM angular momentum as generator of rotations 4..3 Example of Two-Level System: Neutron Interferometry

More information

Volume in n Dimensions

Volume in n Dimensions Volume in n Dimensions MA 305 Kurt Bryan Introduction You ve seen that if we have two vectors v and w in two dimensions then the area spanned by these vectors can be computed as v w = v 1 w 2 v 2 w 1 (where

More information

MCE/EEC 647/747: Robot Dynamics and Control. Lecture 2: Rigid Motions and Homogeneous Transformations

MCE/EEC 647/747: Robot Dynamics and Control. Lecture 2: Rigid Motions and Homogeneous Transformations MCE/EEC 647/747: Robot Dynamics and Control Lecture 2: Rigid Motions and Homogeneous Transformations Reading: SHV Chapter 2 Mechanical Engineering Hanz Richter, PhD MCE503 p.1/22 Representing Points, Vectors

More information

CH.4. STRESS. Continuum Mechanics Course (MMC)

CH.4. STRESS. Continuum Mechanics Course (MMC) CH.4. STRESS Continuum Mechanics Course (MMC) Overview Forces Acting on a Continuum Body Cauchy s Postulates Stress Tensor Stress Tensor Components Scientific Notation Engineering Notation Sign Criterion

More information

NOTES ON LINEAR ALGEBRA CLASS HANDOUT

NOTES ON LINEAR ALGEBRA CLASS HANDOUT NOTES ON LINEAR ALGEBRA CLASS HANDOUT ANTHONY S. MAIDA CONTENTS 1. Introduction 2 2. Basis Vectors 2 3. Linear Transformations 2 3.1. Example: Rotation Transformation 3 4. Matrix Multiplication and Function

More information

ONE AND MANY ELECTRON ATOMS Chapter 15

ONE AND MANY ELECTRON ATOMS Chapter 15 See Week 8 lecture notes. This is exactly the same as the Hamiltonian for nonrigid rotation. In Week 8 lecture notes it was shown that this is the operator for Lˆ 2, the square of the angular momentum.

More information

Vectors Primer. M.C. Simani. July 7, 2007

Vectors Primer. M.C. Simani. July 7, 2007 Vectors Primer M.. Simani Jul 7, 2007 This note gives a short introduction to the concept of vector and summarizes the basic properties of vectors. Reference textbook: Universit Phsics, Young and Freedman,

More information

Lecture 27: More on Rotational Kinematics

Lecture 27: More on Rotational Kinematics Lecture 27: More on Rotational Kinematics Let s work out the kinematics of rotational motion if α is constant: dω α = 1 2 α dω αt = ω ω ω = αt + ω ( t ) dφ α + ω = dφ t 2 α + ωo = φ φo = 1 2 = t o 2 φ

More information

MAE 323: Lecture 1. Review

MAE 323: Lecture 1. Review This review is divided into two parts. The first part is a mini-review of statics and solid mechanics. The second part is a review of matrix/vector fundamentals. The first part is given as an refresher

More information

Introduction Eigen Values and Eigen Vectors An Application Matrix Calculus Optimal Portfolio. Portfolios. Christopher Ting.

Introduction Eigen Values and Eigen Vectors An Application Matrix Calculus Optimal Portfolio. Portfolios. Christopher Ting. Portfolios Christopher Ting Christopher Ting http://www.mysmu.edu/faculty/christophert/ : christopherting@smu.edu.sg : 6828 0364 : LKCSB 5036 November 4, 2016 Christopher Ting QF 101 Week 12 November 4,

More information

1.3 LECTURE 3. Vector Product

1.3 LECTURE 3. Vector Product 12 CHAPTER 1. VECTOR ALGEBRA Example. Let L be a line x x 1 a = y y 1 b = z z 1 c passing through a point P 1 and parallel to the vector N = a i +b j +c k. The equation of the plane passing through the

More information

Matrix Representation

Matrix Representation Matrix Representation Matrix Rep. Same basics as introduced already. Convenient method of working with vectors. Superposition Complete set of vectors can be used to express any other vector. Complete set

More information

Rotation Matrices. Chapter 21

Rotation Matrices. Chapter 21 Chapter 1 Rotation Matrices We have talked at great length last semester and this about unitary transformations. The putting together of successive unitary transformations is of fundamental importance.

More information

Linear Algebra Notes. Lecture Notes, University of Toronto, Fall 2016

Linear Algebra Notes. Lecture Notes, University of Toronto, Fall 2016 Linear Algebra Notes Lecture Notes, University of Toronto, Fall 2016 (Ctd ) 11 Isomorphisms 1 Linear maps Definition 11 An invertible linear map T : V W is called a linear isomorphism from V to W Etymology:

More information

Solving the Geodesic Equation

Solving the Geodesic Equation Solving the Geodesic Equation Jeremy Atkins December 12, 2018 Abstract We find the general form of the geodesic equation and discuss the closed form relation to find Christoffel symbols. We then show how

More information

Angular Momentum. Classically the orbital angular momentum with respect to a fixed origin is. L = r p. = yp z. L x. zp y L y. = zp x. xpz L z.

Angular Momentum. Classically the orbital angular momentum with respect to a fixed origin is. L = r p. = yp z. L x. zp y L y. = zp x. xpz L z. Angular momentum is an important concept in quantum theory, necessary for analyzing motion in 3D as well as intrinsic properties such as spin Classically the orbital angular momentum with respect to a

More information

Group Representations

Group Representations Group Representations Alex Alemi November 5, 2012 Group Theory You ve been using it this whole time. Things I hope to cover And Introduction to Groups Representation theory Crystallagraphic Groups Continuous

More information

d 1 µ 2 Θ = 0. (4.1) consider first the case of m = 0 where there is no azimuthal dependence on the angle φ.

d 1 µ 2 Θ = 0. (4.1) consider first the case of m = 0 where there is no azimuthal dependence on the angle φ. 4 Legendre Functions In order to investigate the solutions of Legendre s differential equation d ( µ ) dθ ] ] + l(l + ) m dµ dµ µ Θ = 0. (4.) consider first the case of m = 0 where there is no azimuthal

More information

Lecture 1 - Vectors. A Puzzle... Introduction. Vectors: The quest begins! TA s Information. Vectors

Lecture 1 - Vectors. A Puzzle... Introduction. Vectors: The quest begins! TA s Information. Vectors Lecture 1 - Vectors Puzzle... The sum starts at 0. Players alternate by choosing an integer from 1 to 10 and then adding it to the sum. The player who gets to 100 wins. You go first. What is the winning

More information

Mathematics that Every Physicist should Know: Scalar, Vector, and Tensor Fields in the Space of Real n- Dimensional Independent Variable with Metric

Mathematics that Every Physicist should Know: Scalar, Vector, and Tensor Fields in the Space of Real n- Dimensional Independent Variable with Metric Mathematics that Every Physicist should Know: Scalar, Vector, and Tensor Fields in the Space of Real n- Dimensional Independent Variable with Metric By Y. N. Keilman AltSci@basicisp.net Every physicist

More information

Lecture 5. Equations of Lines and Planes. Dan Nichols MATH 233, Spring 2018 University of Massachusetts.

Lecture 5. Equations of Lines and Planes. Dan Nichols MATH 233, Spring 2018 University of Massachusetts. Lecture 5 Equations of Lines and Planes Dan Nichols nichols@math.umass.edu MATH 233, Spring 2018 Universit of Massachusetts Februar 6, 2018 (2) Upcoming midterm eam First midterm: Wednesda Feb. 21, 7:00-9:00

More information

Sample Quantum Chemistry Exam 2 Solutions

Sample Quantum Chemistry Exam 2 Solutions Chemistry 46 Fall 7 Dr. Jean M. Standard Name SAMPE EXAM Sample Quantum Chemistry Exam Solutions.) ( points) Answer the following questions by selecting the correct answer from the choices provided. a.)

More information

Classical Mechanics III (8.09) Fall 2014 Assignment 3

Classical Mechanics III (8.09) Fall 2014 Assignment 3 Classical Mechanics III (8.09) Fall 2014 Assignment 3 Massachusetts Institute of Technology Physics Department Due September 29, 2014 September 22, 2014 6:00pm Announcements This week we continue our discussion

More information

I. Elastic collisions of 2 particles II. Relate ψ and θ III. Relate ψ and ζ IV. Kinematics of elastic collisions

I. Elastic collisions of 2 particles II. Relate ψ and θ III. Relate ψ and ζ IV. Kinematics of elastic collisions I. Elastic collisions of particles II. Relate ψ and θ III. Relate ψ and ζ IV. Kinematics of elastic collisions 49 I. Elastic collisions of particles "Elastic": KE is conserved (as well as E tot and momentum

More information

Math 181/281. Rumbos Spring 2011 Page 1. Solutions to Assignment #5. Hence, the dynamical system, θ(t, p, q), for (t, p, q) R 3 corresponding = F.

Math 181/281. Rumbos Spring 2011 Page 1. Solutions to Assignment #5. Hence, the dynamical system, θ(t, p, q), for (t, p, q) R 3 corresponding = F. Math 181/281. Rumbos Spring 2011 Page 1 Solutions to Assignment #5 1. For real numbers a and b with a 2 + b 2 = 0, let F : R 2 R 2 be given b ( ) ( ) ( ) x ax b x F =, for all R 2. (1) bx + a (a) Explain

More information

Massachusetts Institute of Technology Department of Physics. Final Examination December 17, 2004

Massachusetts Institute of Technology Department of Physics. Final Examination December 17, 2004 Massachusetts Institute of Technology Department of Physics Course: 8.09 Classical Mechanics Term: Fall 004 Final Examination December 17, 004 Instructions Do not start until you are told to do so. Solve

More information

Reflections and Rotations in R 3

Reflections and Rotations in R 3 Reflections and Rotations in R 3 P. J. Ryan May 29, 21 Rotations as Compositions of Reflections Recall that the reflection in the hyperplane H through the origin in R n is given by f(x) = x 2 ξ, x ξ (1)

More information

Omm Al-Qura University Dr. Abdulsalam Ai LECTURE OUTLINE CHAPTER 3. Vectors in Physics

Omm Al-Qura University Dr. Abdulsalam Ai LECTURE OUTLINE CHAPTER 3. Vectors in Physics LECTURE OUTLINE CHAPTER 3 Vectors in Physics 3-1 Scalars Versus Vectors Scalar a numerical value (number with units). May be positive or negative. Examples: temperature, speed, height, and mass. Vector

More information