Vector analysis, vector algebra, engineering electromagnetics by william H hyat chapter 1

JannatulFerdousEilma 98 views 58 slides Oct 11, 2024
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About This Presentation

Contains study on vector analysis


Slide Content

1-1
EE2200: Electromagnetics Fields
Text Book:
- Sadiku, Elements of Electromagnetics, Oxford University
References:
- William Hayt, Engineering Electromagnetics, Tata McGraw Hill

Part 1:
Vector Analysis

1-3
Vector Addition
Associative Law:
Distributive Law:

1-4
Rectangular Coordinate System

1-5
Point Locations in Rectangular Coordinates

1-6
Differential Volume Element

1-7
Summary

1-8
Orthogonal Vector Components

1-9
Orthogonal Unit Vectors

1-10
Vector Representation in Terms of
Orthogonal Rectangular Components

1-11
Summary

1-12
Vector Expressions in Rectangular
Coordinates
General Vector, B:
Magnitude of B:
Unit Vector in the
Direction of B:

1-13
Example

1-14
Vector Field
We are accustomed to thinking of a specific vector:
A vector field is a function defined in space that has magnitude
and direction at all points:
where r = (x,y,z)

1-15
The Dot Product
Commutative Law:

1-16
Vector Projections Using the Dot Product
B • a gives the component of B
in the horizontal direction
(B • a) a gives the vector component
of B in the horizontal direction

Projection of a vector on another
vector

1-18
Operational Use of the Dot Product
Given
Find
where we have used:
Note also:

1-19
Cross Product

1-20
Operational Definition of the Cross Product in
Rectangular Coordinates
Therefore:
Or…
Begin with:
where

Vector Product or Cross Product

1-22
Cylindrical Coordinate Systems

1-23
Cylindrical Coordinate Systems

1-24
Cylindrical Coordinate Systems

1-25
Cylindrical Coordinate Systems
Dot products Cross products

1-26
Differential Volume in Cylindrical
Coordinates
dV = dddz

1-27
Point Transformations in Cylindrical
Coordinates

1-28
Dot Products of Unit Vectors in Cylindrical and
Rectangular Coordinate Systems
1

1-29
Transform the vector, into cylindrical coordinates:
Example
Start with:
Then:

Finally:
Example: cont.

1-31
Spherical Coordinates

1-32
Spherical Coordinates

1-33
Spherical Coordinates

1-34
Spherical Coordinates

1-35
Spherical Coordinates

1-36
Spherical Coordinates
Point P has coordinates
Specified by P(r)

1-37
Differential Volume in Spherical Coordinates
dV = r
2
sindrdd

1-38
Dot Products of Unit Vectors in the Spherical
and Rectangular Coordinate Systems

1-39
Example: Vector Component Transformation
Transform the field, , into spherical coordinates and components

Constant coordinate surfaces-
Cartesian system
1-40
 If we keep one of the coordinate
variables constant and allow the
other two to vary, constant
coordinate surfaces are generated
in rectangular, cylindrical and
spherical coordinate systems.
 We can have infinite planes:
X=constant,
Y=constant,
Z=constant
 These surfaces are perpendicular to x, y and z axes respectively.

1-41
Constant coordinate surfaces-
cylindrical system
 Orthogonal surfaces in cylindrical
coordinate system can be generated as
ρ=constnt
Φ=constant
z=constant
 ρ=constant is a circular cylinder,
 Φ=constant is a semi infinite plane with
its edge along z axis
 z=constant is an infinite plane as in the
rectangular system.

1-42
Constant coordinate surfaces-
Spherical system
 Orthogonal surfaces in spherical
coordinate system can be generated
as
r=constant
θ=constant
Φ=constant
 θ =constant is a circular cone with z axis as its axis and origin at
the vertex,
 Φ =constant is a semi infinite plane as in the cylindrical system.
 r=constant is a sphere with its centre at the origin,

Differential elements in rectangular
coordinate systems
1-43

1-44
Differential elements in Cylindrical
coordinate systems

1-45
Differential elements in Spherical
coordinate systems

1-46
Line integrals
 Line integral is defined as any integral that is to be evaluated
along a line. A line indicates a path along a curve in space.

Surface integrals
1-47

Volume integrals
1-48

DEL Operator
1-49
 DEL Operator in cylindrical coordinates:
 DEL Operator in spherical coordinates:

Gradient of a scalar field
1-50
 The gradient of a scalar field V is a vector that represents the
magnitude and direction of the maximum space rate of increase of V.
 For Cartesian Coordinates
 For Cylindrical Coordinates
 For Spherical Coordinates

Divergence of a vector
1-51
 In Cartesian Coordinates:
 In Cylindrical Coordinates:
 In Spherical Coordinates:

Gauss’s Divergence theorem
1-52

Curl of a vector
1-53

1-54
Curl of a vector
 In Cartesian Coordinates:
 In Cylindrical Coordinates:
 In Spherical Coordinates:

Stoke’s theorem
1-56

Laplacian of a scalar
1-57

Laplacian of a scalar
1-58