Class #16 Monday, March 20, 2017

Similar documents
ENGI 4430 Non-Cartesian Coordinates Page xi Fy j Fzk from Cartesian coordinates z to another orthonormal coordinate system u, v, ˆ i ˆ ˆi

r cos, and y r sin with the origin of coordinate system located at

AE301 Aerodynamics I UNIT B: Theory of Aerodynamics

Section 8.2 Polar Coordinates

working pages for Paul Richards class notes; do not copy or circulate without permission from PGR 2004/11/3 10:50

Related Rates - the Basics

DYNAMICS OF UNIFORM CIRCULAR MOTION

8.022 (E&M) - Lecture 2

Math Section 4.2 Radians, Arc Length, and Area of a Sector

Math 2263 Solutions for Spring 2003 Final Exam

COORDINATE TRANSFORMATIONS - THE JACOBIAN DETERMINANT

rt () is constant. We know how to find the length of the radius vector by r( t) r( t) r( t)

Homework # 3 Solution Key

Lecture 8 - Gauss s Law

B da = 0. Q E da = ε. E da = E dv

Vectors, Vector Calculus, and Coordinate Systems

B. Spherical Wave Propagation

Review: Electrostatics and Magnetostatics

Hopefully Helpful Hints for Gauss s Law

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Physics 8.07: Electromagnetism II September 15, 2012 Prof. Alan Guth PROBLEM SET 2

Question Bank. Section A. is skew-hermitian matrix. is diagonalizable. (, ) , Evaluate (, ) 12 about = 1 and = Find, if

15 Solving the Laplace equation by Fourier method

Voltage ( = Electric Potential )

As is natural, our Aerospace Structures will be described in a Euclidean three-dimensional space R 3.

Δt The textbook chooses to say that the average velocity is

DonnishJournals

2 Governing Equations

Chapter 2: Basic Physics and Math Supplements

q r 1 4πε Review: Two ways to find V at any point in space: Integrate E dl: Sum or Integrate over charges: q 1 r 1 q 2 r 2 r 3 q 3

Qualifying Examination Electricity and Magnetism Solutions January 12, 2006

Physics 111 Lecture 5 (Walker: 3.3-6) Vectors & Vector Math Motion Vectors Sept. 11, 2009

Faraday s Law. Faraday s Law. Faraday s Experiments. Faraday s Experiments. Magnetic Flux. Chapter 31. Law of Induction (emf( emf) Faraday s Law

A Tutorial on Multiple Integrals (for Natural Sciences / Computer Sciences Tripos Part IA Maths)

Question 1: The dipole

When a mass moves because of a force, we can define several types of problem.

EM Boundary Value Problems

Auchmuty High School Mathematics Department Advanced Higher Notes Teacher Version

Chapters 5-8. Dynamics: Applying Newton s Laws

3.6 Applied Optimization

Magnetic Dipoles Challenge Problem Solutions

Chapter 12: Kinematics of a Particle 12.8 CURVILINEAR MOTION: CYLINDRICAL COMPONENTS. u of the polar coordinate system are also shown in

Graphs of Sine and Cosine Functions

Appendix A. Appendices. A.1 ɛ ijk and cross products. Vector Operations: δ ij and ɛ ijk

4. Two and Three Dimensional Motion

Circular Motion. x-y coordinate systems. Other coordinates... PHY circular-motion - J. Hedberg

Motion in a Plane Uniform Circular Motion

On the integration of the equations of hydrodynamics

The study of the motion of a body along a general curve. the unit vector normal to the curve. Clearly, these unit vectors change with time, u ˆ

The Divergence Theorem

Chapter 1: Introduction to Polar Coordinates

The CENTRE for EDUCATION in MATHEMATICS and COMPUTING cemc.uwaterloo.ca Galois Contest. Wednesday, April 12, 2017

7.2. Coulomb s Law. The Electric Force

1 Spherical multipole moments

Math Notes on Kepler s first law 1. r(t) kp(t)

Lab #0. Tutorial Exercises on Work and Fields

Physics 235 Chapter 5. Chapter 5 Gravitation

THE MAGNETIC FIELD. This handout covers: The magnetic force between two moving charges. The magnetic field, B, and magnetic field lines

Much that has already been said about changes of variable relates to transformations between different coordinate systems.

Linear Algebra Math 221

Ch04: Motion in two and three dimensions (2D and 3D)

INTRODUCTION. 2. Vectors in Physics 1

CALCULUS II Vectors. Paul Dawkins

is the instantaneous position vector of any grid point or fluid

(read nabla or del) is defined by, k. (9.7.1*)

Physics 2A Chapter 10 - Moment of Inertia Fall 2018

Anyone who can contemplate quantum mechanics without getting dizzy hasn t understood it. --Niels Bohr. Lecture 17, p 1

Physics Tutorial V1 2D Vectors

CMSC 425: Lecture 5 More on Geometry and Geometric Programming

6 Vector Operators. 6.1 The Gradient Operator

Cartesian Coordinate System and Vectors

Radian Measure CHAPTER 5 MODELLING PERIODIC FUNCTIONS

ME 210 Applied Mathematics for Mechanical Engineers

The Substring Search Problem

Theoretical Competition:Solution Question 1 Page 1 of 8. I. Solution Q1_THEORY_SOLUTION_1700_SENT_TO_LEADER.DOCX. r 2. r 1

Practice Integration Math 120 Calculus I Fall 2015

Motion in One Dimension

= e2. = 2e2. = 3e2. V = Ze2. where Z is the atomic numnber. Thus, we take as the Hamiltonian for a hydrogenic. H = p2 r. (19.4)

Vectors, Vector Calculus, and Coordinate Systems

Practice Integration Math 120 Calculus I D Joyce, Fall 2013

ESCI 342 Atmospheric Dynamics I Lesson 3 Fundamental Forces II

10.2 Parametric Calculus

ESTIMATION MODELS USING MATHEMATICAL CONCEPTS AND NEWTON S LAWS FOR CONIC SECTION TRAJECTORIES ON EARTH S SURFACE

1. Show that the volume of the solid shown can be represented by the polynomial 6x x.

7.2.1 Basic relations for Torsion of Circular Members

PES 3950/PHYS 6950: Homework Assignment 6

PHYS 110B - HW #7 Spring 2004, Solutions by David Pace Any referenced equations are from Griffiths Problem statements are paraphrased

Physics 1502: Lecture 4 Today s Agenda

Physics 122, Fall October 2012

3. Electromagnetic Waves II

Gauss Law. Physics 231 Lecture 2-1

Magnetic field due to a current loop.

11.2 Proving Figures are Similar Using Transformations

Newton s Laws, Kepler s Laws, and Planetary Orbits

transformation Earth V-curve (meridian) λ Conical projection. u,v curves on the datum surface projected as U,V curves on the projection surface

Scattering in Three Dimensions

Exam 1. Exam 1 is on Tuesday, February 14, from 5:00-6:00 PM.

Physics 201, Lecture 6

Dr. Fritz Wilhelm page 1 of 19 C:\physics\230 lecture\ch29 magnetic fields.docx; S: 5/3/ :01:00 PM P:

Algebra-based Physics II

FI 2201 Electromagnetism

Transcription:

D. Pogo Class #16 Monday, Mach 0, 017 D Non-Catesian Coodinate Systems A point in space can be specified by thee numbes:, y, and z. O, it can be specified by 3 diffeent numbes:,, and z, whee = cos, y = sin, and z = z. Thee ae in fact many options. y d Looking at the y plane, you can see that the aea of a small element measuing d dy is just da = d dy. In the pola/cylindical coodinates, a little ectangle of aea is still base height, but tuns out to be da = d d. d d Similaly, if you want to know the total distance between two neaby points, you use the Pythagoean theoem: ds = d + dy in D Catesian coodinates. In D cylindical coodinates, this is not much hade: d ds d d d 1 d ( ) = + = + If you ae integating ds to find the peimete of a cicle (assuming you hadn t aleady memoized it), this would be easie in cylindical coodinates than in Catesian coodinates. See Mathematica demo fo eamples of use. 3D Cuilinea Coodinate Systems (See Page 60) ds d dy Thee ae thee common ways of ceating coodinate systems that we use to descibe motion, positions, and the like. We know about Catesian coodinates (, y, z). They ae named afte Renee Descates. The net most common is cylindical. Cylindical coodinates ae just a 3D esion of pola coodinates. To conet fom cylindical to Catesian, we use the following elationships: CYLINDRICAL z = cos y = sin z = z You can easily eese these by using the Pythagoean theoem and actangent to find o, fom and y as usual. Fo each coodinate system, it is useful to addess ahead of time some common questions. Fo eample, in E&M, you might be asked to compute the total chage of a cylindical wie, which would equie a olume integal. So, the following might be useful: d d d dz y dv = d dy dz = d d dz units ae indeed olume! Note that in this sketch, dv is a cube (like d dy dz) as d, d, and dz 0. Page 1 of

D. Pogo Class #16 Monday, Mach 0, 017 O, you might need to integate oe some cued line in cylindical coodinates. Along a cue s, the position diffeential ds is gien by the Pythagoean theoem: ds = d + dy + dz = d + d + dz units ae indeed all!! We can edo all of this in spheical coodinates as well: SPHERICAL = sin cosφ y = sin sinφ z = cos dv = sin d d dφ ds = d + d + sin dφ z d sindφ d d Note that, ey unfotunately, what is called in the fist pictue is called φ in the second pictue. Stangely, in math classes, they ll do this moe sensibly, and use fo the same thing in each definition. Not so in physics. Velocity φ dφ y Velocity is a ecto, usually descibed as ds ˆ V i y ˆ = = + j + z kˆ. So, if you know (t), etc., t t t you can easily find the elocity. How would we descibe it in a spheical coodinate system? We can do it, poided that we hae an appopiate definition of ds. Fom aboe, ds = d + d + sin dφ gies us a magnitude fo ds. But in ecto fom, this is ds = ( d) ˆ + ( d ) ˆ + ( sin d ) φ ˆ φ. So, ds V ˆ ˆ φ = = + + sin ˆ φ. t t t Of couse, you need to know (t), etc., to sole a poblem like this. dv Similaly, once you hae elocity, you can always find acceleation, since a =. These poblems ae almost staggeingly had to wok out, as you ll see on the homewok. Page of

D. Pogo Class #16 Monday, Mach 0, 017 Jacobians The peious eamples ae the most common coodinate systems, but in some poblems (especially those inoling gaitation, whee space-time is cued) it is desiable to come up with othe, stange, coodinate aes. When you ae tying to elate one coodinate system to anothe, the Jacobian is a useful tool that elates olumes in each to the othe. It is the deteminant of a mati, and is theefoe just a scala epession. The Jacobian descibing the elationship between an (, y, z) coodinate system and an abitay (m, n, p) coodinate system is defined as this deteminant: m n p y y y J = m n p z z z m n p deˆ 11 deˆ 1 deˆ 13 The useful equation fo Jacobians is J =, whee each e 1i is a unit ecto in the deˆ ˆ ˆ 1 de de3 fist coodinate system, and each e i is a unit ecto in the second coodinate system. Eample: The Jacobian elating (, y, z) to (,, φ) is: J φ y y y =. φ z z z φ Note that the elements of the mati ae not typically dimensionally homogeneous. Since we know the definitions = sin cosφ, y = sin sinφ, and z = cos, this becomes: sin cosφ cos cosφ sin sinφ J = sin sinφ cos sinφ sin cosφ cos sin 0 We can multiply out the deteminant in ou usual way, and we discoe that this paticula Jacobian educes to J = sin. d dy dz Theefoe, using ou second useful Jacobian equation, sin =. This allows us to d d dφ conclude that d dy dz = sin d d dφ, which we aleady saw a few minutes ago. Page 3 of

D. Pogo Class #16 Monday, Mach 0, 017 So, when you e faced with eally weid coodinate systems, the Jacobian can help you quickly set up and pefom olume integals. Notation Aboe, I used a lowecase e as a geneic unit ecto. That s petty common. In this notation, e ˆ is the same as î, e ˆy is the same as ĵ, e ˆ is the same as ˆ, and so on. Howee, it also common to use numbes to epesent diections. e 1 is the same as e, e = e y, and e 3 =e z. We would obiously like to be able to elate diffeentials to each othe. Fo eample, how ae the unit ectos in cylindical e =1 coodinates elated to the unit ectos in Catesian e =1 cos coodinates? sin sin Fom looking at the pictues hee: cos eˆ cos ˆ sin ˆ = i + j, and eˆ sin iˆ cos ˆ = + j, and eˆ = 1kˆ z It pobably goes without saying that e is pependicula to e and e z, etc. We could do simila things with spheical coodinates. Fo eample: eˆ = sin cosφ i ˆ + sin sinφ ˆ j + cos k ( ) ( ) ( ) ˆ = ( ) ˆ + ( ) ˆ + ( ) ˆ and ˆ ( sin ) ˆ ( cos ) eˆ cos cosφ i cos sinφ j sin k Gadients and Opeatos in Non-Catesian Coodinates e i ˆ φ = φ + φ j. You emembe the gadient, ight? If U is some scala field, then U ˆ U i U ˆ = + j + U kˆ. At y z least, that s what it is in Catesian coodinates. What about in cylindical coodinates? In the -diection, looking at ou oiginal olume sketch, U ds = d, so U =. OK, that s one component. 1 U In the -diection, ds = d, so U =. U In the z-diection, ds z = dz, so zu =. z U 1 U U Putting togethe all thee pats: U = eˆ + eˆ + eˆ z. CYLINDRICAL z Page 4 of

D. Pogo Class #16 Monday, Mach 0, 017 Scale Factos If you look at the diffeential length in any coodinate system, you ll see that it usually follows a paticula fom. Compae these: ds = ( ) eˆ ( ) ˆ ( ) ˆ + y ey + z ez ds = ( d ) eˆ ( ) ˆ ( ) ˆ + d e + dz ez ds = d eˆ + d eˆ + sindφ eˆ ( ) ( ) ( ) In any coodinate system, this can be epessed geneally as: ds = h eˆ + h eˆ + h eˆ ( ) ( ) ( ) 1 1 1 3 3 3 So, in Catesian coodinates, h = 1. Also, h y = 1, h z = 1. Fo the cylindical coodinates: h = 1, h =, and h z = 1. Fo the spheical coodinates: h = 1, h =, and h φ = sin. These h tems ae called scale factos. Also, some people like to use fo eey coodinate ais, whethe it is, y, z,,, o φ. When you do this, you use numeical subscipts to distinguish the diffeent component diections. The book does this sometimes, too. So, in Catesian coodinates: 1 =, = y, 3 = z. So, in cylindical coodinates: 1 =, =, 3 = z. So, in spheical coodinates: 1 =, =, 3 =φ. In this notation, if you know the scale factos fo a paticula coodinate system, you can compute all kinds of deiaties: 1 U 1 U 1 U U = eˆ + eˆ + eˆ h h h 1 3 1 1 3 3 φ 1 V = h h V + h hv + h h V h h h ( ) ( ) ( ) 3 1 3 1 1 3 1 3 1 3 1 hh3 U h3h1 U h1h U U = + + h 1 h h 3 1 h 1 1 h 3 h 3 3 h1e ˆ1 h ˆ ˆ e h3e3 1 V = h h h 1 3 1 3 hv h V h V 1 1 3 3 Page 5 of

D. Pogo Class #16 Monday, Mach 0, 017 Eample Gien the position s = ( 3ˆ i + ˆ) j + ( 1ˆ i + 3 ˆj ) t Detemine elocity in Catesian and pola coodinates Obiously, (t) = 3 t (the î component of s ). y(t) = + 3t (the ĵ component of s ). ds Theefoe, = = ( 1ˆ i + 3 ˆj ) In othe wods, = 1, and y = +3 (both ae constants, and the speed is 10 ). Let s look at cylindical = + y = ( 3 t) + ( + 3t ) = Taking the deiatie: d = + 3 y + 3t Also, ( t) = atan = atan. 3 t Taking the deiatie: d = 11 So we e almost done: d + 3 = = and d 11 = = It s woth noting that in pola coodinates, the elocities ae not constant (but the speed still is 10, o about 3.16, in each coodinate system). Page 6 of