EEE161 Applied Electromagnetics Laboratory 3
|
|
- Suzanna White
- 5 years ago
- Views:
Transcription
1 Dr. Milica Marković Applied Electromagnetics Laboratory page 1 EEE161 Applied Electromagnetics Laboratory 3 Instructor: Dr. Milica Marković Office: Riverside Hall milica@csus.edu Web: milica 1 Visualizing Scalar Fields in Matlab To visualize scalar fields in Matlab we can use the following functions: slice, contourslice, patch, isonormals, camlight and lightning. Please note that more detailed explanation about the these organization functions shown here can be found in Matlab help. 1.1 slice Slice is a command that shows the magnitude of a scalar fields on a plane that slices the volume where the potential field is visualized. The format of this command is as shown below. slice(x,y,z,v,xslice,yslice,zslice) Where X, Y, and Z are coordinate of points where the scaler function is calculated, the are the values of the scaler function at those points, and the last three vectors xslice, yslice, and zslice life are showing where will the volume will be sliced. X flies has three points at which the x-axis will be slice. They are -1.2,.8, 2. This means that the volume will be slice with a plane that is perpendicular to x-axis and it crosses the x-axis at points -1.2,.8 and 2. An example of slice command is given below. in the example below there is an additional command colormap, that s collars the volume with a specific pallette. To see more about different color maps, see Matlab help. clc clear all [x,y,z] = meshgrid(-2:.2:2,-2:.25:2,-2:.16:2); v = x.*exp(-x.^2-y.^2-z.^2); xslice = [-1.2,.8,2]; yslice = 1; zslice = [-2,0]; slice(x,y,z,v,xslice,yslice,zslice) colormap hsv 1.2 contourslice Contourslice command will display equipotential lines on a plane being the volume where the potential field is visualized. An example of contourslice function is shown below.
2 Dr. Milica Marković Applied Electromagnetics Laboratory page 2 [x,y,z] = meshgrid(-2:.2:2,-2:.25:2,-2:.16:2); v = x.*exp(-x.^2-y.^2-z.^2); % Create volume data [xi,yi,zi] = sphere; % Plane to contour contourslice(x,y,z,v,xi,yi,zi) view(3) 1.3 patch Patch command creates a patch of color. 1.4 isonormals Command isonormals creates equipotential surfaces. 1.5 camlight camlight( headlight ) creates a light at the camera position.camlight( right ) creates a ligh right and up from camera. camlight( left ) creates a light left and up from camera.camlight with no arguments is the same as camlight( right ). camlight(az,el) creates a light at the specified azimuth (az) and elevation (el) with respect to the camera position. The camera target is the center of rotation and az and el are in degrees. 1.6 lighting lighting flat selects flat lighting. lighting gouraud selects gouraud lighting. lighting phong selects phong lighting. lighting none turns off lighting.
3 Dr. Milica Marković Applied Electromagnetics Laboratory page 3 2 Gradient, Divergence and Curl 2.1 Del Operator Del operator, defined in Equation 2.1 is used to define gradient V, divergence A, laplacian 2 V, and curl A of a field. = x a x + y a y + z a z (1) 2.2 Gradient Gradient is a derivative for functions of several variables. Function of two variables x and y is shown in Figure 1 (a). We can imagine that this is a temperature distribution in a Silicon slab. Gradient of a this temperature distribution gives the maximum rate of change of the temperature. It shows both the direction and magnitude of the rate of change, as in Figure 1 (b). As we see, gradient operates on a scalar function (temperature) and the result of the gradient operation is a vector (the direction and magnitude of temperature change). Vector s direction points in the direction of the maximum increase or decrease of temperature. Vector s magnitude shows the magnitude of temperature change. Gradient is mathematically defined as T = T T T x + y + z (2) x y z Sometimes, the rate of change of in a specified direction a l needs to be found. In Figures 1 (c)-(d) rate of change of temperature is shown in a x and a y directions. This vector is called directional derivative, and can be found by finding the component of the gradient vector in a certian direction, as shown in Equation 3. Compare the vector field in Figure 1 (b) with Figures 1 (c)-(d). Fields in Figures 1 (c)-(d) are the a x and a y components of the field in Figure 1 (b). dt dl = T a l (3) Syntax of Gradient in Matlab v = -2:0.2:2; [x,y] = meshgrid(v); z = x.* exp(-x.^2 - y.^2); [px,py] = gradient(z,.2,.2); vec=[px,py] a=zeros(21)+1 b=zeros(21)
4 Dr. Milica Marković Applied Electromagnetics Laboratory page 4 (a) Function Graph (b) Gradient and Countours of Function (c) Directional Derivative in a x direction. (d) Directional Derivative in a y direction. Figure 1: Function z = xe x2 y 2. c=zeros(21) d=zeros(21)+1 vec1=[a,b] sol=a.*px+b.*py sol2=c.*px+d.*py %contour(v,v,z), hold on, quiver(v,v,px,py) %hold off %figure, mesh(x,y,z) %figure, quiver(x,y,sol,b) %figure, quiver(x,y,c,sol2) 2.3 Divergence Divergence is flux through a closed surface. Divergence operates on a vector function and the result of the divergence operation is a scalar. Result of divergence operation on a vector function, therefore has only the magnitude. Divergence is really a flux of a vector through the closed surface. To
5 Dr. Milica Marković Applied Electromagnetics Laboratory page 5 understand flux better, if we visualize the field intensity as field line density per unit area, as shown in Figure 2 then we can simply count the number of field lines per unit area to find the magnitude of flux. It matters which way the field lines go through the surface. If the same number of lines go into and out of a closed surface, this means that there is no source or sink inside the closed surface, and the field is called divergenceless. If the net flux through a closed surface is positive (with respect to the normal on the surface oriented outwards), then there is a source of the field inside the closed surface. If the flux is negative, a sink is inside the closed surface. Divergence is mathematically defined as A = A x + A y + A z (4) Figure 2: Vector representation of Nort-West wind of 10mph. (a) Vector field (b) Divergence (Flux) of Vector Field Figure 3: Vector Field A = x 3 a x + y 3 a y + z 3 a z. The field is divergenceless if it s divergence is zero. Examples of Divergenceless fields are given in Figure.
6 Dr. Milica Marković Applied Electromagnetics Laboratory page 6 Figure 4: Divergenceless Vector Field A = 0.2 a x Syntax of Divergence in Matlab clc clear all [x,y,z]=meshgrid(-2:0.2:2) x1=0 y1=0 z1=0 %cc=[-0.05,0.05] %quiver3(x,y,z,x,y,z) div = divergence(x,y,z,x.^3,y.^3,z.^3); xslice=[-1.2,0.8,2]; yslice=[2,0,1]; zslice=[-2,0.2]; slice(x,y,z,div,xslice,yslice,zslice) shading flat; %lims=volumebounds(x,y,z,cc); %axis(lims); daspect([1 1 1]); camlight; 2.4 Curl Curl describes the rotation (curling) of the field. Curl operates on a vector function and the result of the curl operation is a vector. Result of curl operation on a vector function, therefore has a magnitude and direction. Curl describes the curling (rotation) of the field at a point. If the field is curling, then the direction of the curl will be perpendicular to the curling and the magnitude will describe the amount of rotation. Curl of a uniform field is zero and the field is called irrotational. Curl is mathematically defined as
7 Dr. Milica Marković Applied Electromagnetics Laboratory page 7 Or A = a x a y a z x y z A x A y A z A = ( Az y A ) ( y Ax a x + z z A ) ( z Ay a y + x x A ) x a z (5) y Curl can be estimated by using the paddle in a vector field. For example, in Figure 5, a paddle is inserted in the vector field A = x a x. Since the field is stronger with increasing x, those filed lines will be pushing the paddle stronger then the ones closer to (0,0). Therefore, the paddle will be rotating counter-clockwise looking from the top. Direction of curl is then found by using the right hand rule. The curl vector is always perpendicular to the field at a point. Figure 5: Paddle Inserted in Vector Field Syntax of Curl in Matlab clc clear all [X Y Z]= meshgrid(-3:1.5:3); s = size(x); V= zeros(s); A = -Y; B = X; [CURLX2, CURLY2, CURLZ2] = curl(a,b,v) subplot(2,1,1), quiver3(x,y,z,a,b,v,1); subplot(2,1,2), quiver3(x,y,z,curlx2,curly2,curlz2,1); 3 Visualize the Gradient of the scalar field T = x 2 + y 2 + z 2 (6)
8 Dr. Milica Marković Applied Electromagnetics Laboratory page 8 4 Calculate and Plot the Divergence and Curl of the vector field A = x 2 a x + y 2 a y + z 2 a z (7) 5 Find the source 1. Divergence of a magnetic field is equal to zero. Write a Matlab code to check if the vector fields given below could be magnetic fields. 2. The source of the magnetic field is current. If magnetic field is known, curl of the magnetic field is equal to the current density at that point in space. Write Matlab code to check if the current exists at that point in space. Two fields are given: B = y x (8) B = ρ φ (9) Write the Matlab code to find curl for both fields. Comment on the value of the curl. Look at the field graphs in problem 3. Imagine inserting a paddle in the field at certain points. Will the paddle turn clockwise or counterclockwise? Compare the paddle rotation to the direction of the curl. 6 Plot the Electric Field Defined by Electrostatic potential. The electric field is a negative gradient of the electrostatic potential. If the function of electrostatic potential is given V (R) = 1, first plot the electrostatic potential, then find the electric field and R plot it using gradient function. Write the Matlab code to plot the electric field (using quiver3) in 3 Dimensions. In order to do a 3-D plot, you will first have to convert the equation from polar to Cartesian coordinates on paper. The following conversions are relevant: 1. Convert Spehrical to Cartesian Coordinates on paper (find what is R as a function of x,y,z.). 2. Write potenital in Cartesian Coordinates. 3. Specify all points of interest in Matlab using meshgrid 4. Calculate potential in Matlab (write the equation for potential in cartesian coordinates) 5. Use the gradient function in Matlab to find the electric field.[ex,ey, EZ] = gradient(-v). Note that the gradient returns three components of the field. 6. To plot the electric field use quiver3 and to plot potential use Plot function and just plot the V as a function of R (2-D graph).
9 Dr. Milica Marković Applied Electromagnetics Laboratory page 9 Conclusion Solve all of the above examples by hand and compare the results with the ones you found during the lab. In addition, for each of the problems, write what you have learned. Do not write an essay, just in a few sentences write what you have done in each problem, and specifically what you have learned from the work done. Due Date Submit the printout of the lab work and the conclusion by NEXT FRIDAY. LAB IS DUE next Friday in the lab. No late labs.
EEE161 Applied Electromagnetics Laboratory 4
Dr. Milica Marković Applied Electromagnetics Laboratory page 1 EEE161 Applied Electromagnetics Laboratory 4 Instructor: Dr. Milica Marković Office: Riverside Hall 3028 Email: milica@csus.edu Web:http://gaia.ecs.csus.edu/
More informationElectromagnetic Field Theory (EMT) Lecture # 7 Vector Calculus (Continued)
Electromagnetic Field Theory (EMT) Lecture # 7 Vector Calculus (Continued) Topics to be Covered: Vector Calculus Differential Length, Area, and Volume Line, Surface, and Volume Integrals Del Operator Gradient
More informationEEE161 Applied Electromagnetics Laboratory 1
Dr. Milica Marković Applied Electromagnetics Laboratory page 1 EEE161 Applied Electromagnetics Laboratory 1 Instructor: Dr. Milica Marković Office: Riverside Hall 3028 Email: milica@csus.edu Web:http://gaia.ecs.csus.edu/
More information1.1. Fields Partial derivatives
1.1. Fields A field associates a physical quantity with a position A field can be also time dependent, for example. The simplest case is a scalar field, where given physical quantity can be described by
More informationNotes 3 Review of Vector Calculus
ECE 3317 Applied Electromagnetic Waves Prof. David R. Jackson Fall 2018 A ˆ Notes 3 Review of Vector Calculus y ya ˆ y x xa V = x y ˆ x Adapted from notes by Prof. Stuart A. Long 1 Overview Here we present
More informationThe Gradient. Consider the topography of the Earth s surface.
9/16/5 The Gradient.doc 1/8 The Gradient Consider the topography of the Earth s surface. We use contours of constant elevation called topographic contours to epress on maps (a -dimensional graphic) the
More informationLecture 10: Vector Calculus II
Lecture 10: Vector Calculus II 1. Key points Vector fields Field Lines/Flow Lines Divergence Curl Maple commands VectorCalculus[Divergence] VectorCalculus[Curl] Student[VectorCalculus][FlowLine] Physics[Vector]
More information2-5 The Calculus of Scalar and Vector Fields (pp.33-55)
9/1/ sec _5 empty.doc 1/9-5 The Calculus of Scalar and Vector Fields (pp.33-55) Q: A: 1... 5. 3. 6. A. The Integration of Scalar and Vector Fields 1. The Line Integral 9/1/ sec _5 empty.doc /9 Q1: A C
More informationEELE 3331 Electromagnetic I Chapter 3. Vector Calculus. Islamic University of Gaza Electrical Engineering Department Dr.
EELE 3331 Electromagnetic I Chapter 3 Vector Calculus Islamic University of Gaza Electrical Engineering Department Dr. Talal Skaik 2012 1 Differential Length, Area, and Volume This chapter deals with integration
More information+ f f n x n. + (x)
Math 255 - Vector Calculus II Notes 14.5 Divergence, (Grad) and Curl For a vector field in R n, that is F = f 1, f 2,..., f n, where f i is a function of x 1, x 2,..., x n, the divergence is div(f) = f
More informationCreated by T. Madas VECTOR OPERATORS. Created by T. Madas
VECTOR OPERATORS GRADIENT gradϕ ϕ Question 1 A surface S is given by the Cartesian equation x 2 2 + y = 25. a) Draw a sketch of S, and describe it geometrically. b) Determine an equation of the tangent
More informationMATH Calculus IV Spring 2014 Three Versions of the Divergence Theorem
MATH 2443 008 Calculus IV pring 2014 Three Versions of the Divergence Theorem In this note we will establish versions of the Divergence Theorem which enable us to give it formulations of div, grad, and
More informationMathematical Notes for E&M Gradient, Divergence, and Curl
Mathematical Notes for E&M Gradient, Divergence, and Curl In these notes I explain the differential operators gradient, divergence, and curl (also known as rotor), the relations between them, the integral
More informationPG-TRB ELECTROMAGNETIC THEORY. POLYTECHNIC-TRB MATERIALS
COACHING CENTRE-PG-TRB-PHYSICS- ELECTROMAGNETIC THEORY-STUDY MATERIAL- CONTACT: 2018 PG-TRB PHYSICS ELECTROMAGNETIC THEORY POLYTECHNIC-TRB MATERIALS MATHS/COMPUTER SCIENCE/IT/ECE/EEE MECH/CIVIL/CHEMISTRY/PHYSICS
More informationTECHNO INDIA BATANAGAR
TECHNO INDIA BATANAGAR ( DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING) QUESTION BANK- 2018 1.Vector Calculus Assistant Professor 9432183958.mukherjee@tib.edu.in 1. When the operator operates on
More informationMATH 332: Vector Analysis Summer 2005 Homework
MATH 332, (Vector Analysis), Summer 2005: Homework 1 Instructor: Ivan Avramidi MATH 332: Vector Analysis Summer 2005 Homework Set 1. (Scalar Product, Equation of a Plane, Vector Product) Sections: 1.9,
More information송석호 ( 물리학과 )
http://optics.hanyang.ac.kr/~shsong 송석호 ( 물리학과 ) Field and Wave Electromagnetics, David K. Cheng Reviews on (Week 1). Vector Analysis 3. tatic Electric Fields (Week ) 4. olution of Electrostatic Problems
More informationFundamental Electromagnetics (Chapter 4: Vector Calculus)
Fundamental Electromagnetics (Chapter 4: Vector Calculus) Prof. Kwang-Chun Ho kwangho@hansung.ac.kr Tel: 0-760-453 Fax:0-760-4435 Key Point Study differential elements in length, area, and volume useful
More informationEEE321 Electromagnetic Fileds and Waves. Prof. Dr. Hasan Hüseyin BALIK. (1 st Week)
EEE321 Electromagnetic Fileds and Waves Prof. Dr. Hasan Hüseyin BALIK (1 st Week) Outline Course Information and Policies Course Syllabus Vector Operators Coordinate Systems Course Information (see web
More informationVector Analysis. Electromagnetic Theory PHYS 401. Fall 2017
Vector Analysis Electromagnetic Theory PHYS 401 Fall 2017 1 Vector Analysis Vector analysis is a mathematical formalism with which EM concepts are most conveniently expressed and best comprehended. Many
More informationUNIT 1. INTRODUCTION
UNIT 1. INTRODUCTION Objective: The aim of this chapter is to gain knowledge on Basics of electromagnetic fields Scalar and vector quantities, vector calculus Various co-ordinate systems namely Cartesian,
More information52. The Del Operator: Divergence and Curl
52. The Del Operator: Divergence and Curl Let F(x, y, z) = M(x, y, z), N(x, y, z), P(x, y, z) be a vector field in R 3. The del operator is represented by the symbol, and is written = x, y, z, or = x,
More information1/3/2011. This course discusses the physical laws that govern atmosphere/ocean motions.
Lecture 1: Introduction and Review Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study of motion without regard for the cause. Dynamics: On the other hand, dynamics
More information1. FUNDAMENTAL CONCEPTS AND MATH REVIEW
1. FUNDAMENTAL CONCEPTS AND MATH REVIEW 1.1. Introduction Here we provide for your reading pleasure a review of some of the math concepts used in part of this course. Most of this falls under the heading
More information15.2 divergence, curl and del in 2D Contemporary Calculus 1
15.2 divergence, curl and del in 2D Contemporary Calculus 1 15.2 Del Operator and 2D Divergence and Curl The divergence and curl of a vector field F describe two characteristics of the field at each point
More informationLecture 04. Curl and Divergence
Lecture 04 Curl and Divergence UCF Curl of Vector Field (1) F c d l F C Curl (or rotor) of a vector field a n curlf F d l lim c s s 0 F s a n C a n : normal direction of s follow right-hand rule UCF Curl
More informationIn this chapter, we study the calculus of vector fields.
16 VECTOR CALCULUS VECTOR CALCULUS In this chapter, we study the calculus of vector fields. These are functions that assign vectors to points in space. VECTOR CALCULUS We define: Line integrals which can
More information송석호 ( 물리학과 )
http://optics.hanyang.ac.kr/~shsong 송석호 ( 물리학과 ) Introduction to Electrodynamics, David J. Griffiths Review: 1. Vector analysis 2. Electrostatics 3. Special techniques 4. Electric fields in mater 5. Magnetostatics
More informationUL XM522 Mutivariable Integral Calculus
1 UL XM522 Mutivariable Integral Calculus Instructor: Margarita Kanarsky 2 3 Vector fields: Examples: inverse-square fields the vector field for the gravitational force 4 The Gradient Field: 5 The Divergence
More informationENGI 4430 Gauss & Stokes Theorems; Potentials Page 10.01
ENGI 443 Gauss & tokes heorems; Potentials Page.. Gauss Divergence heorem Let be a piecewise-smooth closed surface enclosing a volume in vector field. hen the net flux of F out of is F d F d, N 3 and let
More informationMaxwell s Equations in Differential Form, and Uniform Plane Waves in Free Space
C H A P T E R 3 Maxwell s Equations in Differential Form, and Uniform Plane Waves in Free Space In Chapter 2, we introduced Maxwell s equations in integral form. We learned that the quantities involved
More informationCoordinates 2D and 3D Gauss & Stokes Theorems
Coordinates 2 and 3 Gauss & Stokes Theorems Yi-Zen Chu 1 2 imensions In 2 dimensions, we may use Cartesian coordinates r = (x, y) and the associated infinitesimal area We may also employ polar coordinates
More informationThe Divergence Theorem Stokes Theorem Applications of Vector Calculus. Calculus. Vector Calculus (III)
Calculus Vector Calculus (III) Outline 1 The Divergence Theorem 2 Stokes Theorem 3 Applications of Vector Calculus The Divergence Theorem (I) Recall that at the end of section 12.5, we had rewritten Green
More informationControl Volume. Dynamics and Kinematics. Basic Conservation Laws. Lecture 1: Introduction and Review 1/24/2017
Lecture 1: Introduction and Review Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study of motion without regard for the cause. Dynamics: On the other hand, dynamics
More informationLecture 1: Introduction and Review
Lecture 1: Introduction and Review Review of fundamental mathematical tools Fundamental and apparent forces Dynamics and Kinematics Kinematics: The term kinematics means motion. Kinematics is the study
More informationElements of Vector Calculus : Line and Surface Integrals
Elements of Vector Calculus : Line and Surface Integrals Lecture 2: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay In this lecture we will talk about special functions
More informationUnit 6 Line and Surface Integrals
Unit 6 Line and Surface Integrals In this unit, we consider line integrals and surface integrals and the relationships between them. We also discuss the three theorems Green s theorem, the divergence theorem
More informationSOLUTIONS TO THE FINAL EXAM. December 14, 2010, 9:00am-12:00 (3 hours)
SOLUTIONS TO THE 18.02 FINAL EXAM BJORN POONEN December 14, 2010, 9:00am-12:00 (3 hours) 1) For each of (a)-(e) below: If the statement is true, write TRUE. If the statement is false, write FALSE. (Please
More informationMultiple Integrals and Vector Calculus: Synopsis
Multiple Integrals and Vector Calculus: Synopsis Hilary Term 28: 14 lectures. Steve Rawlings. 1. Vectors - recap of basic principles. Things which are (and are not) vectors. Differentiation and integration
More informationPHY101: Major Concepts in Physics I
Welcome back to PHY101: Major Concepts in Physics I Photo: J. M. Schwarz Announcements In class today we will finish Chapter 20 (sections 3, 4, and 7). and then move to Chapter 13 (the first six sections).
More informationLAB 1: MATLAB - Introduction to Programming. Objective:
LAB 1: MATLAB - Introduction to Programming Objective: The objective of this laboratory is to review how to use MATLAB as a programming tool and to review a classic analytical solution to a steady-state
More informationxkcd.com It IS about physics. It ALL is.
xkcd.com It IS about physics. It ALL is. Introduction to Space Plasmas The Plasma State What is a plasma? Basic plasma properties: Qualitative & Quantitative Examples of plasmas Single particle motion
More informationENGI Gradient, Divergence, Curl Page 5.01
ENGI 94 5. - Gradient, Divergence, Curl Page 5. 5. The Gradient Operator A brief review is provided here for the gradient operator in both Cartesian and orthogonal non-cartesian coordinate systems. Sections
More informationfree space (vacuum) permittivity [ F/m]
Electrostatic Fields Electrostatic fields are static (time-invariant) electric fields produced by static (stationary) charge distributions. The mathematical definition of the electrostatic field is derived
More informationPhys122A-Lecture 2 Electric Field
Phys122A-Lecture 2 Electric Field Physics 122 Labs Sections begin on next week Before your section meets Get a copy of the lab manual at the UW Bookstore! Read the information on page iii as it has a lot
More informationMath 234 Exam 3 Review Sheet
Math 234 Exam 3 Review Sheet Jim Brunner LIST OF TOPIS TO KNOW Vector Fields lairaut s Theorem & onservative Vector Fields url Divergence Area & Volume Integrals Using oordinate Transforms hanging the
More informationKeywords: 2015, IJARCSSE All Rights Reserved Page 315
Volume 5, Issue 3, March 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Special Issue
More informationMultiple Integrals and Vector Calculus (Oxford Physics) Synopsis and Problem Sets; Hilary 2015
Multiple Integrals and Vector Calculus (Oxford Physics) Ramin Golestanian Synopsis and Problem Sets; Hilary 215 The outline of the material, which will be covered in 14 lectures, is as follows: 1. Introduction
More informationGradient operator. In our calculation of dφ along the vector ds, we see that it can be described as the scalar product
Gradient operator In our calculation of dφ along the vector ds, we see that it can be described as the scalar product ( φ dφ = x î + φ y ĵ + φ ) z ˆk ( ) u x dsî + u y dsĵ + u z dsˆk We take dφ = φ ds
More informationDifferential Operators and the Divergence Theorem
1 of 6 1/15/2007 6:31 PM Differential Operators and the Divergence Theorem One of the most important and useful mathematical constructs is the "del operator", usually denoted by the symbol Ñ (which is
More informationMaxwell s Equations in Differential Form
Maxwell s Equations in Differential Form CHAPTER 3 In Chapter 2 we introduced Maxwell s equations in integral form. We learned that the quantities involved in the formulation of these equations are the
More informationLecture 2. Introduction to FEM. What it is? What we are solving? Potential formulation Why? Boundary conditions
Introduction to FEM What it is? What we are solving? Potential formulation Why? Boundary conditions Lecture 2 Notation Typical notation on the course: Bolded quantities = matrices (A) and vectors (a) Unit
More informationElectric Flux Density, Gauss s Law and Divergence
Unit 3 Electric Flux Density, Gauss s Law and Divergence 3.1 Electric Flux density In (approximately) 1837, Michael Faraday, being interested in static electric fields and the effects which various insulating
More informationELEC ELECTROMAGNETIC APPLICATIONS PART B. STATIC ELECTRIC AND MAGNETIC FIELDS (Low frequency) F. Rahman Room EE133
ELEC2015 - ELECTROMAGNETIC APPLICATIONS PART B STATIC ELECTRIC AND MAGNETIC FIELDS (Low frequency) F. Rahman Room EE133 Tel: 9385 4893 Lecture 1 Introduction & recap on 1 F. Rahman Lecture 1 APPLICATIONS
More informationIntroduction to Vector Calculus (29) SOLVED EXAMPLES. (d) B. C A. (f) a unit vector perpendicular to both B. = ˆ 2k = = 8 = = 8
Introduction to Vector Calculus (9) SOLVED EXAMPLES Q. If vector A i ˆ ˆj k, ˆ B i ˆ ˆj, C i ˆ 3j ˆ kˆ (a) A B (e) A B C (g) Solution: (b) A B (c) A. B C (d) B. C A then find (f) a unit vector perpendicular
More informationEssential University Physics
Essential University Physics Richard Wolfson 21 Gauss s Law PowerPoint Lecture prepared by Richard Wolfson Slide 21-1 In this lecture you ll learn To represent electric fields using field-line diagrams
More informationDivergence Theorem December 2013
Divergence Theorem 17.3 11 December 2013 Fundamental Theorem, Four Ways. b F (x) dx = F (b) F (a) a [a, b] F (x) on boundary of If C path from P to Q, ( φ) ds = φ(q) φ(p) C φ on boundary of C Green s Theorem:
More informationF A C U L T Y O F E D U C A T I O N. Physics Electromagnetism: Induced Currents Science and Mathematics Education Research Group
F A C U L T Y O F E D U C A T I O N Department of Curriculum and Pedagogy Physics Electromagnetism: Induced Currents Science and Mathematics Education Research Group Supported by UBC Teaching and Learning
More informationV Relation to Physics
V15.2-3 Relation to Physics The three theorems we have studied: the divergence theorem and tokes theorem in space, and Green s theorem in the plane (which is really just a special case of tokes theorem)
More informationPractice Problems for Exam 3 (Solutions) 1. Let F(x, y) = xyi+(y 3x)j, and let C be the curve r(t) = ti+(3t t 2 )j for 0 t 2. Compute F dr.
1. Let F(x, y) xyi+(y 3x)j, and let be the curve r(t) ti+(3t t 2 )j for t 2. ompute F dr. Solution. F dr b a 2 2 F(r(t)) r (t) dt t(3t t 2 ), 3t t 2 3t 1, 3 2t dt t 3 dt 1 2 4 t4 4. 2. Evaluate the line
More informationMathematical Concepts & Notation
Mathematical Concepts & Notation Appendix A: Notation x, δx: a small change in x t : the partial derivative with respect to t holding the other variables fixed d : the time derivative of a quantity that
More informationDivergence Theorem Fundamental Theorem, Four Ways. 3D Fundamental Theorem. Divergence Theorem
Divergence Theorem 17.3 11 December 213 Fundamental Theorem, Four Ways. b F (x) dx = F (b) F (a) a [a, b] F (x) on boundary of If C path from P to Q, ( φ) ds = φ(q) φ(p) C φ on boundary of C Green s Theorem:
More informationChapter 4. Electrostatic Fields in Matter
Chapter 4. Electrostatic Fields in Matter 4.1. Polarization 4.2. The Field of a Polarized Object 4.3. The Electric Displacement 4.4. Linear Dielectrics 4.5. Energy in dielectric systems 4.6. Forces on
More informationUnit-1 Electrostatics-1
1. Describe about Co-ordinate Systems. Co-ordinate Systems Unit-1 Electrostatics-1 In order to describe the spatial variations of the quantities, we require using appropriate coordinate system. A point
More informationVector Calculus, Maths II
Section A Vector Calculus, Maths II REVISION (VECTORS) 1. Position vector of a point P(x, y, z) is given as + y and its magnitude by 2. The scalar components of a vector are its direction ratios, and represent
More informationMUDRA PHYSICAL SCIENCES
MUDRA PHYSICAL SCIENCES VOLUME- PART B & C MODEL QUESTION BANK FOR THE TOPICS:. Electromagnetic Theory UNIT-I UNIT-II 7 4. Quantum Physics & Application UNIT-I 8 UNIT-II 97 (MCQs) Part B & C Vol- . Electromagnetic
More informationContents. MATH 32B-2 (18W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables. 1 Multiple Integrals 3. 2 Vector Fields 9
MATH 32B-2 (8W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables Contents Multiple Integrals 3 2 Vector Fields 9 3 Line and Surface Integrals 5 4 The Classical Integral Theorems 9 MATH 32B-2 (8W)
More informationElectromagnetism Physics 15b
Electromagnetism Physics 15b Lecture #5 Curl Conductors Purcell 2.13 3.3 What We Did Last Time Defined divergence: Defined the Laplacian: From Gauss s Law: Laplace s equation: F da divf = lim S V 0 V Guass
More informationLecture 13: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay. Poisson s and Laplace s Equations
Poisson s and Laplace s Equations Lecture 13: Electromagnetic Theory Professor D. K. Ghosh, Physics Department, I.I.T., Bombay We will spend some time in looking at the mathematical foundations of electrostatics.
More informationLecture 10 Date:
Lecture 10 Date: 04.02.2016 onservative and Solenoidal Vector Fields harge, harge Density, Total harge The onservative Vector Field Of all possible vector fields A r, there is a subset of vector fields
More informationFinal exam (practice 1) UCLA: Math 32B, Spring 2018
Instructor: Noah White Date: Final exam (practice 1) UCLA: Math 32B, Spring 2018 This exam has 7 questions, for a total of 80 points. Please print your working and answers neatly. Write your solutions
More informationECE 341 Test 2, Spring 2019 Your Name Tue 4/16/2019
Problem 1. Electrostatics One surface of an infinitely large ideal conductor plate is at the plane x = 0 of the Cartesian coordinate system, with the x-y plane being the plane of the paper and the z axis
More informationPHY222 Lab 2 - Electric Fields Mapping the Potential Curves and Field Lines of an Electric Dipole
Print Your Name PHY222 Lab 2 - Electric Fields Mapping the Potential Curves and Field Lines of an Electric Dipole Print Your Partners' Names Instructions January 23, 2015 Before lab, read the Introduction,
More informationChapter 1. Vector Algebra and Vector Space
1. Vector Algebra 1.1. Scalars and vectors Chapter 1. Vector Algebra and Vector Space The simplest kind of physical quantity is one that can be completely specified by its magnitude, a single number, together
More informationIntroduction 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 information43.1 Vector Fields and their properties
Module 15 : Vector fields, Gradient, Divergence and Curl Lecture 43 : Vector fields and their properties [Section 43.1] Objectives In this section you will learn the following : Concept of Vector field.
More informationMeasurement of electric potential fields
Measurement of electric potential fields Matthew Krupcale, Oliver Ernst Department of Physics, Case Western Reserve University, Cleveland Ohio, 44106-7079 18 November 2012 Abstract In electrostatics, Laplace
More informationChapter 5. Magnetostatics
Chapter 5. Magnetostatics 5.1 The Lorentz Force Law 5.1.1 Magnetic Fields Consider the forces between charges in motion Attraction of parallel currents and Repulsion of antiparallel ones: How do you explain
More informationLecture 10 Divergence, Gauss Law in Differential Form
Lecture 10 Divergence, Gauss Law in Differential Form ections: 3.4, 3.5, 3.6 Homework: ee homework file Properties of the Flux Integral: Recap flux is the net normal flow of the vector field F through
More informationModule 16 : Line Integrals, Conservative fields Green's Theorem and applications. Lecture 48 : Green's Theorem [Section 48.
Module 16 : Line Integrals, Conservative fields Green's Theorem and applications Lecture 48 : Green's Theorem [Section 48.1] Objectives In this section you will learn the following : Green's theorem which
More informationTime-Varying Systems; Maxwell s Equations
Time-Varying Systems; Maxwell s Equations 1. Faraday s law in differential form 2. Scalar and vector potentials; the Lorenz condition 3. Ampere s law with displacement current 4. Maxwell s equations 5.
More informationPhysics 9 Wednesday, April 2, 2014
Physics 9 Wednesday, April 2, 2014 FYI: final exam is Friday, May 9th, at 9am, in DRL A2. HW10 due Friday. No quiz today. (HW8 too difficult for a quiz!) After this week: 2 weeks on circuits; then optics
More informationMATH 223 REVIEW PROBLEMS
* * * MATH 223 REVIEW PROBLEMS 1 1. You are in a nicely heated cabin in the winter. Deciding that it s too warm you open a small window. Let be the temperature in the room minutes after the window was
More informationIn this section, mathematical description of the motion of fluid elements moving in a flow field is
Jun. 05, 015 Chapter 6. Differential Analysis of Fluid Flow 6.1 Fluid Element Kinematics In this section, mathematical description of the motion of fluid elements moving in a flow field is given. A small
More informationElectric Fields and Potentials
Electric Fields and Potentials Please do not write on the conducting sheet, and do not use more than 5 volts from the power supply. Introduction The force between electric charges is intriguing. Why are
More informationRead this cover page completely before you start.
I affirm that I have worked this exam independently, without texts, outside help, integral tables, calculator, solutions, or software. (Please sign legibly.) Read this cover page completely before you
More information3. Maxwell's Equations and Light Waves
3. Maxwell's Equations and Light Waves Vector fields, vector derivatives and the 3D Wave equation Derivation of the wave equation from Maxwell's Equations Why light waves are transverse waves Why is the
More informationMATHS 267 Answers to Stokes Practice Dr. Jones
MATH 267 Answers to tokes Practice Dr. Jones 1. Calculate the flux F d where is the hemisphere x2 + y 2 + z 2 1, z > and F (xz + e y2, yz, z 2 + 1). Note: the surface is open (doesn t include any of the
More informationMathematics for Physical Sciences III
Mathematics for Physical Sciences III Change of lecturer: First 4 weeks: myself again! Remaining 8 weeks: Dr Stephen O Sullivan Continuous Assessment Test Date to be announced (probably Week 7 or 8) -
More informationMcGill University April 16, Advanced Calculus for Engineers
McGill University April 16, 2014 Faculty of cience Final examination Advanced Calculus for Engineers Math 264 April 16, 2014 Time: 6PM-9PM Examiner: Prof. R. Choksi Associate Examiner: Prof. A. Hundemer
More informationMotion of a charged particle in an electric field. Electric flux
Lecture 3 Chapter 23 Motion of a charged particle in an electric field. Electric flux 95.144 Course website: http://faculty.uml.edu/andriy_danylov/teaching/physicsii Today we are going to discuss: Chapter
More informationMa 1c Practical - Solutions to Homework Set 7
Ma 1c Practical - olutions to omework et 7 All exercises are from the Vector Calculus text, Marsden and Tromba (Fifth Edition) Exercise 7.4.. Find the area of the portion of the unit sphere that is cut
More informationGreen s, Divergence, Stokes: Statements and First Applications
Math 425 Notes 12: Green s, Divergence, tokes: tatements and First Applications The Theorems Theorem 1 (Divergence (planar version)). Let F be a vector field in the plane. Let be a nice region of the plane
More informationOn the other hand, if we measured the potential difference between A and C we would get 0 V.
DAY 3 Summary of Topics Covered in Today s Lecture The Gradient U g = -g. r and U E = -E. r. Since these equations will give us change in potential if we know field strength and distance, couldn t we calculate
More informationSome common examples of vector fields: wind shear off an object, gravitational fields, electric and magnetic fields, etc
Vector Analysis Vector Fields Suppose a region in the plane or space is occupied by a moving fluid such as air or water. Imagine this fluid is made up of a very large number of particles that at any instant
More informationexample consider flow of water in a pipe. At each point in the pipe, the water molecule has a velocity
Module 1: A Crash Course in Vectors Lecture 1: Scalar and Vector Fields Objectives In this lecture you will learn the following Learn about the concept of field Know the difference between a scalar field
More informationLecture Outline. Maxwell s Equations Predict Waves Derivation of the Wave Equation Solution to the Wave Equation 8/7/2018
Course Instructor Dr. Raymond C. Rumpf Office: A 337 Phone: (915) 747 6958 E Mail: rcrumpf@utep.edu EE 4347 Applied Electromagnetics Topic 3a Electromagnetic Waves Electromagnetic These notes Waves may
More informationNotes 19 Gradient and Laplacian
ECE 3318 Applied Electricity and Magnetism Spring 218 Prof. David R. Jackson Dept. of ECE Notes 19 Gradient and Laplacian 1 Gradient Φ ( x, y, z) =scalar function Φ Φ Φ grad Φ xˆ + yˆ + zˆ x y z We can
More informationVisualizing Complex-valued Functions
13 Visualizing Complex-valued Functions Lab Objective: Functions that map from the complex plane into the complex plane are difficult to fully visualize because the domain and range are both 2-dimensional.
More informationMATH 2400: Calculus III, Fall 2013 FINAL EXAM
MATH 2400: Calculus III, Fall 2013 FINAL EXAM December 16, 2013 YOUR NAME: Circle Your Section 001 E. Angel...................... (9am) 002 E. Angel..................... (10am) 003 A. Nita.......................
More information