EEE241: Fundamentals of Electromagnetics Introductory Concepts, Vector Fields and Coordinate Systems Instructor: Dragica Vasileska

Outline Class Description Introductory Concepts Vector Fields Coordinate Systems

Class Description Prerequisites by Topic: University physics Complex numbers Partial differentiation Multiple Integrals Vector Analysis Fourier Series

Class Description Prerequisites: EEE 202; MAT 267, 274 (or 275), MAT 272; PHY 131, 132 Computer Usage: Students are assumed to be versed in the use MathCAD or MATLAB to perform scientific computing such as numerical calculations, plotting of functions and performing integrations. Students will develop and visualize solutions to moderately complicated field problems using these tools. Textbook: Cheng, Field and Wave Electromagnetics.

Class Description Grading: Midterm #1 25% Midterm #2 25% Final 25% Homework 25%

Class Description

Why Study Electromagnetics?

Examples of Electromagnetic Applications

Examples of Electromagnetic Applications, Cont’d

Examples of Electromagnetic Applications, Cont’d

Examples of Electromagnetic Applications, Cont’d

Examples of Electromagnetic Applications, Cont’d

Research Areas of Electromagnetics Antenas Microwaves Computational Electromagnetics Electromagnetic Scattering Electromagnetic Propagation Radars Optics etc …

Why is Electromagnetics Difficult?

What is Electromagnetics?

What is a charge q?

Fundamental Laws of Electromagnetics

Steps in Studying Electromagnetics

SI (International System) of Units

Units Derived From the Fundamental Units

Fundamental Electromagnetic Field Quantities

Three Universal Constants

Fundamental Relationships

Scalar and Vector Fields A scalar field is a function that gives us a single value of some variable for every point in space. Examples: voltage, current, energy, temperature A vector is a quantity which has both a magnitude and a direction in space. Examples: velocity, momentum, acceleration and force

Example of a Scalar Field

Scalar Fields Week 01, Day 1 e.g. Temperature: Every location has associated value (number with units) 26 Class 01 26

Scalar Fields - Contours Week 01, Day 1 Colors represent surface temperature Contour lines show constant temperatures 27 Class 01 27

Fields are 3D T = T(x,y,z) Hard to visualize  Work in 2D 28 Week 01, Day 1 T = T(x,y,z) Hard to visualize  Work in 2D 28 Class 01 28

Vector Fields Vector (magnitude, direction) at every point in space Week 01, Day 1 Vector Fields Vector (magnitude, direction) at every point in space Example: Velocity vector field - jet stream 29 Class 01 29

Vector Fields Explained Week 01, Day 1 Vector Fields Explained Class 01 30

Examples of Vector Fields

Examples of Vector Fields

Examples of Vector Fields

VECTOR REPRESENTATION 3 PRIMARY COORDINATE SYSTEMS: Choice is based on symmetry of problem RECTANGULAR CYLINDRICAL SPHERICAL Examples: Sheets - RECTANGULAR Wires/Cables - CYLINDRICAL Spheres - SPHERICAL

Orthogonal Coordinate Systems: (coordinates mutually perpendicular) Cartesian Coordinates z P(x,y,z) y Rectangular Coordinates P (x,y,z) x z z P(r, θ, z) Cylindrical Coordinates P (r, Θ, z) r y x θ z Spherical Coordinates P(r, θ, Φ) θ r P (r, Θ, Φ) y x Φ Page 108

Parabolic Cylindrical Coordinates (u,v,z) Paraboloidal Coordinates (u, v, Φ) Elliptic Cylindrical Coordinates (u, v, z) Prolate Spheroidal Coordinates (ξ, η, φ) Oblate Spheroidal Coordinates (ξ, η, φ) Bipolar Coordinates (u,v,z) Toroidal Coordinates (u, v, Φ) Conical Coordinates (λ, μ, ν) Confocal Ellipsoidal Coordinate (λ, μ, ν) Confocal Paraboloidal Coordinate (λ, μ, ν)

Parabolic Cylindrical Coordinates

Paraboloidal Coordinates

Elliptic Cylindrical Coordinates

Prolate Spheroidal Coordinates

Oblate Spheroidal Coordinates

Bipolar Coordinates

Toroidal Coordinates

Conical Coordinates

Confocal Ellipsoidal Coordinate

Confocal Paraboloidal Coordinate

Cartesian Coordinates Cylindrical Coordinates Spherical Coordinates z z Cartesian Coordinates P(x,y,z) P(x,y,z) P(r, θ, Φ) θ r y y x x Φ Cylindrical Coordinates P(r, θ, z) Spherical Coordinates P(r, θ, Φ) z z P(r, θ, z) r y x θ

Coordinate Transformation Cartesian to Cylindrical (x, y, z) to (r,θ,Φ) (r,θ,Φ) to (x, y, z)

Coordinate Transformation Cartesian to Cylindrical Vectoral Transformation

Coordinate Transformation Cartesian to Spherical (x, y, z) to (r,θ,Φ) (r,θ,Φ) to (x, y, z)

Coordinate Transformation Cartesian to Spherical Vectoral Transformation

Vector Representation z z1 Z plane Unit (Base) vectors x plane A unit vector aA along A is a vector whose magnitude is unity y plane y1 y Ay Ax x1 x Unit vector properties Page 109

Vector Representation z Vector representation z1 Z plane Magnitude of A x plane y plane Az y1 y Ay Ax Position vector A x1 x Page 109

Cartesian Coordinates z Dot product: Az y Cross product: Ay Ax x Back Page 108

Multiplication of vectors Two different interactions (what’s the difference?) Scalar or dot product : the calculation giving the work done by a force during a displacement work and hence energy are scalar quantities which arise from the multiplication of two vectors if A·B = 0 The vector A is zero The vector B is zero  = 90° A  B

Vector or cross product : n is the unit vector along the normal to the plane containing A and B and its positive direction is determined as the right-hand screw rule the magnitude of the vector product of A and B is equal to the area of the parallelogram formed by A and B if there is a force F acting at a point P with position vector r relative to an origin O, the moment of a force F about O is defined by : if A x B = 0 The vector A is zero The vector B is zero  = 0° A  B

Commutative law : Distribution law : Associative law :

Unit vector relationships It is frequently useful to resolve vectors into components along the axial directions in terms of the unit vectors i, j, and k.

Scalar triple product The magnitude of is the volume of the parallelepiped with edges parallel to A, B, and C. AB C B A

Vector triple product The vector is perpendicular to the plane of A and B. When the further vector product with C is taken, the resulting vector must be perpendicular to and hence in the plane of A and B : where m and n are scalar constants to be determined. A B C AB Since this equation is valid for any vectors A, B, and C Let A = i, B = C = j:

VECTOR REPRESENTATION: UNIT VECTORS Rectangular Coordinate System x z y Unit Vector Representation for Rectangular Coordinate System The Unit Vectors imply : Points in the direction of increasing x Points in the direction of increasing y Points in the direction of increasing z

VECTOR REPRESENTATION: UNIT VECTORS Cylindrical Coordinate System r f z P x y The Unit Vectors imply : Points in the direction of increasing r Points in the direction of increasing j Points in the direction of increasing z

Cylindrical Coordinates ( ρ, Φ, z) ρ radial distance in x-y plane Φ azimuth angle measured from the positive x-axis Z A1 Vector representation Base Vectors Magnitude of A Base vector properties Position vector A Back Pages 109-112

Cylindrical Coordinates Dot product: A B Cross product: Back Pages 109-111

VECTOR REPRESENTATION: UNIT VECTORS Spherical Coordinate System r f P x z y q The Unit Vectors imply : Points in the direction of increasing r Points in the direction of increasing q Points in the direction of increasing j

Spherical Coordinates Vector representation (R, θ, Φ) Magnitude of A Position vector A Base vector properties Back Pages 113-115

Spherical Coordinates Dot product: A B Cross product: Back Pages 113-114

VECTOR REPRESENTATION: UNIT VECTORS Summary RECTANGULAR Coordinate Systems CYLINDRICAL Coordinate Systems SPHERICAL Coordinate Systems NOTE THE ORDER! r,f, z r,q ,f Note: We do not emphasize transformations between coordinate systems

METRIC COEFFICIENTS 1. Rectangular Coordinates: Unit is in “meters” 1. Rectangular Coordinates: When you move a small amount in x-direction, the distance is dx In a similar fashion, you generate dy and dz

Cartesian Coordinates Differential quantities: Differential distance: Differential surface: Differential Volume: Page 109

Cylindrical Coordinates: Differential Distances: x y df r Distance = r df ( dr, rdf, dz )

Cylindrical Coordinates: Differential Distances: ( dρ, rdf, dz ) Differential Surfaces: Differential Volume:

Spherical Coordinates: Differential Distances: x y df r sinq Distance = r sinq df ( dr, rdq, r sinq df ) r f P x z y q

Spherical Coordinates Differential quantities: Length: Area: Volume: Back Pages 113-115

METRIC COEFFICIENTS Representation of differential length dl in coordinate systems: rectangular cylindrical spherical

Example For the object on the right calculate: (a) The distance BC (b) The distance CD (c) The surface area ABCD (d) The surface area ABO (e) The surface area A OFD (f) The volume ABDCFO

AREA INTEGRALS integration over 2 “delta” distances Example: AREA = dx dy Example: x y 2 6 3 7 AREA = = 16 Note that: z = constant In this course, area & surface integrals will be on similar types of surfaces e.g. r =constant or f = constant or q = constant et c….

Vector is NORMAL to surface SURFACE NORMAL Representation of differential surface element: Vector is NORMAL to surface

DIFFERENTIALS FOR INTEGRALS Example of Line differentials or or Example of Surface differentials or Example of Volume differentials

Cartesian to Cylindrical Transformation Back Page 115