Fundamentals of Applied Electromagnetics Chapter 0 Vector Analysis

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Fundamentals of Applied Electromagnetics Chapter 0 - Vector Analysis 1

Fundamentals of Applied Electromagnetics Chapter 0 - Vector Analysis 1

Chapter Objectives ü ü ü ü Operations of vector algebra Dot product of two

Chapter Objectives ü ü ü ü Operations of vector algebra Dot product of two vectors Differential functions in vector calculus Divergence of a vector field Divergence theorem The curl of a vector field Stokes’s theorem 2

Chapter Outline 2 -1) 2 -2) 2 -3) 2 -4) Basic Laws of Vector

Chapter Outline 2 -1) 2 -2) 2 -3) 2 -4) Basic Laws of Vector Algebra Orthogonal Coordinate Systems Transformations between Coordinate Systems Gradient of a Scalar Field 2 -5) Divergence of a Vector Field 2 -6) Curl of a Vector Field 2 -7) Laplacian Operator 3

2 -1 Basic Laws of Vector Algebra • Vector A has magnitude A =

2 -1 Basic Laws of Vector Algebra • Vector A has magnitude A = |A| to the direction of propagation. • Vector A is shown and represented as 4

2 -1. 1 Equality of Two Vectors • A and B are equal when

2 -1. 1 Equality of Two Vectors • A and B are equal when they have equal magnitudes and identical unit vectors. 2 -1. 2 Vector Addition and Subtraction • For addition and subtraction of A and B, 5

2 -1. 3 Position and Distance Vectors • Position vector is the vector from

2 -1. 3 Position and Distance Vectors • Position vector is the vector from the origin to point. 6

2 -1. 4 Vector Multiplication • 3 different types of product in vector calculus:

2 -1. 4 Vector Multiplication • 3 different types of product in vector calculus: 1. Simple Product with a scalar 2. Scalar or Dot Product where θAB = angle between A and B +ve -ve 7

2 -1. 4 Vector Multiplication 3. Vector or Cross Product • Cartesian coordinate system

2 -1. 4 Vector Multiplication 3. Vector or Cross Product • Cartesian coordinate system relations: • In summary, 8

2 -1. 5 Scalar and Vector Triple Products • A scalar triple product is

2 -1. 5 Scalar and Vector Triple Products • A scalar triple product is • A vector triple product is known as the “bac-cab” rule. 9

Example 2. 2 Vector Triple Product Given , , and , find (A× B)×

Example 2. 2 Vector Triple Product Given , , and , find (A× B)× C and compare it with A× (B× C). Solution Similar procedure will give 10

2 -2 Orthogonal Coordinate Systems • Orthogonal coordinate system has coordinates that are mutually

2 -2 Orthogonal Coordinate Systems • Orthogonal coordinate system has coordinates that are mutually perpendicular. 2 -2. 1 Cartesian Coordinates • Differential length in Cartesian coordinates is a vector defined as 11

2 -2. 2 Cylindrical Coordinates • Base unit vectors obey right-hand cyclic relations. •

2 -2. 2 Cylindrical Coordinates • Base unit vectors obey right-hand cyclic relations. • Differential areas and volume in cylindrical coordinates are shown. 12

Example 2. 4 Cylindrical Area Find the area of a cylindrical surface described by

Example 2. 4 Cylindrical Area Find the area of a cylindrical surface described by r = 5, 30° ≤ Ф ≤ 60°, and 0 ≤ z ≤ 3 Solution For a surface element with constant r, the surface area is 13

2 -2. 3 Spherical Coordinates • Base unit vectors obey right-hand cyclic relations. where

2 -2. 3 Spherical Coordinates • Base unit vectors obey right-hand cyclic relations. where R = range coordinate sphere radius Θ = measured from the positive z-axis 14

Example 2. 6 Charge in a Sphere A sphere of radius 2 cm contains

Example 2. 6 Charge in a Sphere A sphere of radius 2 cm contains a volume charge density ρv given by Find the total charge Q contained in the sphere. Solution 15

2 -3 Transformations between Coordinate Systems Cartesian to Cylindrical Transformations • Relationships between (x,

2 -3 Transformations between Coordinate Systems Cartesian to Cylindrical Transformations • Relationships between (x, y, z) and (r, φ, z) are shown. • Relevant vectors are defined as 16

2 -3 Transformations between Coordinate Systems Cartesian to Spherical Transformations • Relationships between (x,

2 -3 Transformations between Coordinate Systems Cartesian to Spherical Transformations • Relationships between (x, y, z) and (r, θ, Φ) are shown. • Relevant vectors are defined as 17

Example 2. 8 Cartesian to Spherical Transformation Express vector coordinates. in spherical Solution Using

Example 2. 8 Cartesian to Spherical Transformation Express vector coordinates. in spherical Solution Using the transformation relation, Using the expressions for x, y, and z, 18

Solution 2. 8 Cartesian to Spherical Transformation Similarly, Following the procedure, we have Hence,

Solution 2. 8 Cartesian to Spherical Transformation Similarly, Following the procedure, we have Hence, 19

2 -3 Transformations between Coordinate Systems Distance between Two Points • Distance d between

2 -3 Transformations between Coordinate Systems Distance between Two Points • Distance d between 2 points is • Converting to cylindrical equivalents. • Converting to spherical equivalents. 20

2 -4 Gradient of a Scalar Field • • Differential distance vector dl is.

2 -4 Gradient of a Scalar Field • • Differential distance vector dl is. Vector that change position dl is gradient of T, or grad. • The symbol is called the del or gradient operator. 21

2 -4 Gradient of a Scalar Field • • Gradient operator needs to be

2 -4 Gradient of a Scalar Field • • Gradient operator needs to be scalar quantity. Directional derivative of T is given by 2 -4. 1 Gradient Operator in Cylindrical and Spherical Coordinates • Gradient operator in cylindrical and spherical coordinates is defined as 22

Example 2. 9 Directional Derivative Find the directional derivative of along the direction and

Example 2. 9 Directional Derivative Find the directional derivative of along the direction and evaluate it at (1, − 1, 2). Solution Gradient of T : We denote l as the given direction, Unit vector is and 23

2 -5 Divergence of a Vector Field • Total flux of the electric field

2 -5 Divergence of a Vector Field • Total flux of the electric field E due to q is • Flux lines of a vector field E is 24

2 -5. 1 Divergence Theorem • The divergence theorem is defined as • ∇

2 -5. 1 Divergence Theorem • The divergence theorem is defined as • ∇ ·E stands for the divergence of vector E. 25

Example 2. 11 Calculating the Divergence Determine the divergence of each of the following

Example 2. 11 Calculating the Divergence Determine the divergence of each of the following vector fields and then evaluate it at the indicated point: Solution 26

2 -6 Curl of a Vector Field • Circulation is zero for uniform field

2 -6 Curl of a Vector Field • Circulation is zero for uniform field and non-zero for azimuthal field. • The curl of a vector field B is defined as 27

2 -6. 1 Vector Identities Involving the Curl • Vector identities: (1) ∇ ×

2 -6. 1 Vector Identities Involving the Curl • Vector identities: (1) ∇ × (A + B) = ∇× A+∇× B, (2) ∇ ·(∇ × A) = 0 for any vector A, (3) ∇ × (∇V ) = 0 for any scalar function V. 2 -6. 2 Stokes’s Theorem • Stokes’s theorem converts surface into line integral. 28

Example 2. 12 Verification of Stokes’s Theorem A vector field is given by. Verify

Example 2. 12 Verification of Stokes’s Theorem A vector field is given by. Verify Stokes’s theorem for a segment of a cylindrical surface defined by r = 2, π/3 ≤ φ ≤ π/2, and 0 ≤ z ≤ 3, as shown. Solution Stokes’s theorem states that Left-hand side: Express in cylindrical coordinates 29

Solution 2. 12 Verification of Stokes’s Theorem The integral of ∇ × B over

Solution 2. 12 Verification of Stokes’s Theorem The integral of ∇ × B over the specified surface S with r = 2 is Right-hand side: Definition of field B on segments ab, bc, cd, and da is 30

Solution 2. 12 Verification of Stokes’s Theorem At different segments, Thus, which is the

Solution 2. 12 Verification of Stokes’s Theorem At different segments, Thus, which is the same as the left hand side (proved!) 31

2 -7 Laplacian Operator • Laplacian of V is denoted by ∇2 V. •

2 -7 Laplacian Operator • Laplacian of V is denoted by ∇2 V. • For vector E given in Cartesian coordinates as the Laplacian of E is defined as 32

2 -7 Laplacian Operator • • In Cartesian coordinates, the Laplacian of a vector

2 -7 Laplacian Operator • • In Cartesian coordinates, the Laplacian of a vector is a vector whose components are equal to the Laplacians of the vector components. Through direct substitution, we can simplify it as 33