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EEE2303-Electric and Magnetic Fields
DR. MONA IBRAHIM
Lecture 1
VECTOR ANALYSIS AND COORDINATES
EEE2303-Electric and Magnetic Fields
DR. MONA IBRAHIM
Coordinate Systems
 Used to describe the position of a point in space
 Coordinate system consists of
 A fixed reference point called the origin
 Specific axes with scales and labels
 Instructions on how to label a point relative to the origin and the axes
Cartesian Coordinate System
 Also called rectangular
coordinate system
 x- and y- axes intersect
at the origin
 Points are labeled (x,y)
Polar Coordinate System
 Origin and reference line
are noted
 Point is distance r from
the origin in the direction
of angle , ccw from
reference line
 Points are labeled (r,)
Polar to Cartesian Coordinates
 Based on forming
a right triangle
from r and 
 x = r cos 
 y = r sin 
Trigonometry Review
 Given various radius vectors,
find
 Length and angle
 x- and y-components
 Trigonometric functions: sin, cos,
tan
Cartesian to Polar Coordinates
 r is the hypotenuse and 
an angle
  must be ccw from positive
x axis for these equations to
be valid
2 2
tan
y
x
r x y
 
 
Example 1.1
 The Cartesian coordinates of a
point in the xy plane are (x,y) =
(-3.50, -2.50) m, as shown in
the figure. Find the polar
coordinates of this point.
Solution:
2 2 2 2
( 3.50 m) ( 2.50 m) 4.30 m
r x y
      
2.50 m
tan 0.714
3.50 m
216 (signs give quadrant)
y
x



  

 
Example 1.1, cont.
 Change the point in the x-y plane
 Note its Cartesian coordinates
 Note its polar coordinates
Please insert
active fig. 3.3
here
Vectors and Scalars
 Vector analysis is a mathematical tool with which electromagnetic
(EM) concepts are most conveniently expressed and best
comprehended.
 A scalar quantity is completely specified by a single value with an
appropriate unit and has no direction. (e.g.,mass, temperature, electric
potential, population). it has only magnitude
 A vector quantity is completely described by a number and appropriate units
plus a direction. It has both magnitude and direction (e.g., Velocity, force,
electric field intensity).
 Vectors are typically illustrated by drawing an ARROW above the symbol.
The arrow is used to convey direction and magnitude.
Vector Example
 A particle travels from A to B
along the path shown by the
dotted red line
 This is the distance
traveled and is a scalar
 The displacement is the
solid line from A to B
 The displacement is
independent of the path
taken between the two
points
 Displacement is a vector
Vector Notation
 Text uses bold with arrow to denote a vector:
 Also used for printing is simple bold print: A
 When dealing with just the magnitude of a
vector in print, an italic letter will be used: A or
| |
 The magnitude of the vector has physical units
 The magnitude of a vector is always a positive
number
 When handwritten, use an arrow:
A
A
A
Equality of Two Vectors
 Two vectors are equal if they
have the same magnitude and
the same direction
 if A = B and they point
along parallel lines
 All of the vectors shown are
equal

A B
Adding Vectors
 When adding vectors, their directions must be taken into
account
 Units must be the same
 Graphical Methods
 Use scale drawings
 Algebraic Methods
 More convenient
Adding Vectors Graphically
 Choose a scale
 Draw the first vector, , with the appropriate length and in the
direction specified, with respect to a coordinate system
 Draw the next vector with the appropriate length and in the direction
specified, with respect to a coordinate system whose origin is the
end of vector and parallel to the coordinate system used for
A
A
A
Adding Vectors Graphically, cont.
 Continue drawing the
vectors “tip-to-tail”
 The resultant is drawn
from the origin of to
the end of the last
vector
 Measure the length of
and its angle
 Use the scale factor to
convert length to actual
magnitude
A
R
Adding Vectors Graphically, final
 When you have many
vectors, just keep
repeating the process
until all are included
 The resultant is still
drawn from the tail of
the first vector to the tip
of the last vector
Adding Vectors, Rules
 When two vectors are added, the
sum is independent of the order
of the addition.
 This is the Commutative Law of
Addition

  
A B B A
Adding Vectors, Rules cont.
 When adding three or more vectors, their sum is independent of
the way in which the individual vectors are grouped
 This is called the Associative Property of Addition

   
    
A B C A B C
Adding Vectors, Rules final
 When adding vectors, all of the vectors must have the same
units
 All of the vectors must be of the same type of quantity
 For example, you cannot add a displacement to a velocity
Negative of a Vector
 The negative of a vector is defined as the vector that, when
added to the original vector, gives a resultant of zero
 Represented as

 The negative of the vector will have the same magnitude, but
point in the opposite direction
A
  0
  
A A
Subtracting Vectors
 Special case of vector addition
 If , then use
 Continue with standard vector
addition procedure
 
 
A B

A B
Subtracting Vectors, Method 2
 Another way to look at
subtraction is to find the vector
that, added to the second vector
gives you the first vector

 As shown, the resultant vector
points from the tip of the second to
the tip of the first
 
  
A B C
Multiplying or Dividing a Vector by a
Scalar
 The result of the multiplication or division of a vector by a scalar is a
vector
 The magnitude of the vector is multiplied or divided by the scalar
 If the scalar is positive, the direction of the result is the same as of the
original vector
 If the scalar is negative, the direction of the result is opposite that of the
original vector
Component Method of Adding Vectors
 Graphical addition is not recommended when
 High accuracy is required
 If you have a three-dimensional problem
 Component method is an alternative method
 It uses projections of vectors along coordinate axes
Components of a Vector, Introduction
 A component is a
projection of a vector along
an axis
 Any vector can be completely
described by its components
 It is useful to use
rectangular components
 These are the projections of
the vector along the x- and y-
axes
Vector Component Terminology
 are the component vectors of
 They are vectors and follow all the rules for vectors
 Ax and Ay are scalars, and will be referred to as the
components of
x y
and
A A
A
A
Components of a Vector
 Assume you are given a vector
 It can be expressed in terms of
two other vectors, and
 These three vectors form a right
triangle

A
x
A y
A
x y
 
A A A
Components of a Vector, 2
 The y-component is
moved to the end of
the x-component
 This is due to the fact
that any vector can be
moved parallel to
itself without being
affected
 This completes the
triangle
Components of a Vector, 3
 The x-component of a vector is the projection along the x-axis
 The y-component of a vector is the projection along the y-axis
 This assumes the angle θ is measured with respect to the x-axis
 If not, do not use these equations, use the sides of the triangle directly
cos
x
A A 

sin
y
A A 

Components of a Vector, 4
 The components are the legs of the right triangle whose hypotenuse is
the length of A
 May still have to find θ with respect to the positive x-axis
2 2 1
and tan y
x y
x
A
A A A
A
 
  
Components of a Vector, final
 The components can be
positive or negative and
will have the same units
as the original vector
 The signs of the
components will depend
on the angle
Unit Vectors
 A unit vector is a dimensionless vector with a magnitude of
exactly 1.
 Unit vectors are used to specify a direction and have no other
physical significance
Unit Vectors, cont.
 The symbols
represent unit vectors
 They form a set of mutually
perpendicular vectors in a right-
handed coordinate system
 Remember,
k̂
and
,
ĵ
,
î
ˆ ˆ ˆ 1
  
i j k
Viewing a Vector and Its Projections
 Rotate the axes for various
views
 Study the projection of a vector
on various planes
 x, y
 x, z
 y, z
Unit Vectors in Vector Notation
 Ax is the same as Ax
and Ay is the same as
Ay etc.
 The complete vector
can be expressed as
î
ĵ
ˆ ˆ
 
x y
A A
A i j
Adding Vectors Using Unit Vectors
 Using
 Then
 and so Rx = Ax + Bx and Ry = Ay + By
   
   
ˆ ˆ ˆ ˆ
ˆ ˆ
ˆ ˆ
x y x y
x x y y
x y
A A B B
A B A B
R R
   
   
 
R i j i j
R i j
R i j
2 2 1
tan y
x y
x
R
R R R
R
 
  
 
R A B
Adding Vectors with Unit Vectors
 Note the relationships among the
components of the resultant and
the components of the original
vectors
 Rx = Ax + Bx
 Ry = Ay + By
Three-Dimensional Extension
 Using
 Then
 and so Rx= Ax+Bx, Ry= Ay+By, and Rz =Az+Bz
   
     
ˆ ˆ ˆ ˆ ˆ ˆ
ˆ ˆ ˆ
ˆ ˆ ˆ
x y z x y z
x x y y z z
x y z
A A A B B B
A B A B A B
R R R
     
     
  
R i j k i j k
R i j k
R i j k
2 2 2 1
cos , .
x
x y z
R
R R R R etc
R
 
   
 
R A B
  
r x y z
x y z
x y z
  
r a a a
, , :
x y z
a a a unit vectors
?
PQ
R
PQ Q P
 
R r r
(2 2 ) (1 2 3 )
x y z x y z
     
a a a a a a
4 2
x y z
  
a a a
Vector Components and Unit Vectors
 For any vector B, :
x x y y z z
B B B
 
B a a + a
2 2 2
x y z
B B B
  
B Magnitude of B
B

2 2 2
B
x y z
B B B

 
B
a 
B
B Unit vector in the direction of B
 Example
Given points M (–1,2,1) and N (3,–3,0), find RMN and aMN.
(3 3 0 ) ( 1 2 1 )
MN x y z x y z
      
R a a a a a a 4 5
x y z
  
a a a
MN
MN
MN

R
a
R 2 2 2
4 5 1
4 ( 5) ( 1)
x y z
 

   
a a a
0.617 0.772 0.154
x y z
  
a a a
Vector Components and Unit Vectors
• Differential surface units:
dx dy

dy dz

dx dz

• Differential volume unit :
dx dy dz
 
Rectangular Coordinate System
44
The three basic laws of algebra obeyed by any given vector
A, B, and C, are summarized as follows:
Law Addition Multiplication
Commutative
Associative
Distributive
where k and l are scalars
A
B
B
A 


C
)
B
A
(
)
C
B
(
A 




k
A
A
k 
A
)
kl
(
)
A
l
(
k 
B
k
A
k
)
B
A
(
k 


45
When two vectors and are multiplied, the result is
either a scalar or a vector depending on how they are
multiplied. There are two types of vector multiplication:
1. Scalar (or dot) product:
2.Vector (or cross) product:
The dot product of the two vectors and is defined
geometrically as the product of the magnitude of and the
projection of onto (or vice versa):
where is the smaller angle between and
B
A B
A B
B
A 
B
A 
A B
cos
AB
B
A 


A B
A B
 A B
Multiplication of Vectors:
 Given two vectors A and B, the dot product, or scalar product, is defines as the
product of the magnitude of A, the magnitude of B, and the cosine of the smaller
angle between them:
cos AB

 
A B A B
 The dot product is a scalar, and it obeys the commutative law:
  
A B B A
 For any vector and ,
x x y y z z
A A A
 
A a a + a x x y y z z
B B B
 
B a a + a
x x y y z z
A B A B A B
  
A B +
The Dot Product
47
If and then
which is obtained by multiplying and component by
component
)
,
A
,
A
,
A
(
A Z
Y
X
 )
B
,
B
,
B
(
B Z
Y
X

Z
Z
Y
Y
X
X B
A
B
A
B
A
B
A 



A B
A
B
B
A 


C
A
B
A
C
B
A 




 )
(

A A  A
2
 A2
eX  ex  ey  ey  eZ  ez 1

eX  ey  ey  ez  eZ  ex  0
 
on
AB AC AB AC AC
 
R R R a a
2 2 2 2 2 2
( 9 2 3 ) ( 9 2 3 )
( 8 4 6 )
( 9) (2) (3) ( 9) (2) (3)
x y z x y z
x y z
 
     
 
   
 
     
 
 
a a a a a a
a a a
( 9 2 3 )
62
94 94
x y z
  

a a a
5.963 1.319 1.979
x y z
   
a a a
 Example
The three vertices of a triangle are located at A(6,–1,2),
B (–2,3,–4), and C (–3,1,5). Find: (a) RAB; (b) RAC; (c) the angle
θBAC at vertex A; (d) the vector projection of RAB on RAC.
The Dot Product
 One of the most important applications of the dot product is that of
finding the component of a vector in a given direction.
Chapter 1
cos Ba

 
B a B a cos Ba

 B
• The scalar component of B in the direction
of the unit vector a is Ba
• The vector component of B in the direction
of the unit vector a is (Ba)a
The Dot Product
Chapter 1 Vector Analysis
 Example
The three vertices of a triangle are located at A(6,–1,2),
B (–2,3,–4), and C (–3,1,5). Find: (a) RAB; (b) RAC; (c) the angle
θBAC at vertex A; (d) the vector projection of RAB on RAC.
( 2 3 4 ) (6 2 )
AB x y z x y z
      
R a a a a a a 8 4 6
x y z
   
a a a
( 3 1 5 ) (6 2 )
AC x y z x y z
      
R a a a a a a 9 2 3
x y z
   
a a a
A
B
C
BAC

cos
AB AC AB AC BAC

 
R R R R
cos AB AC
BAC
AB AC


 
R R
R R 2 2 2 2 2 2
( 8 4 6 ) ( 9 2 3 )
( 8) (4) ( 6) ( 9) (2) (3)
x y z x y z
      

      
a a a a a a 62
116 94

1
cos (0.594)
BAC
 
  53.56
 
0.594

The Dot Product
sin
N AB

 
A B a A B
Chapter 1 Vector Analysis
 Given two vectors A and B, the magnitude of the cross product, or vector product,
written as AB, is defines as the product of the magnitude of A, the magnitude of B,
and the sine of the smaller angle between them.
 The direction of AB is perpendicular to the plane containing A and B and is in the
direction of advance of a right-handed screw as A is turned into B.
 The cross product is a vector, and it is not
commutative:
( ) ( )
   
B A A B
x y z
y z x
z x y
 
 
 
a a a
a a a
a a a
The Cross Product
52
The cross product of two vectors and is defined as
where is a unit vector normal to the plane containing
and . The direction of is determined using the right-
hand rule or the right-handed screw rule.
A
A
n
A Be
sin
AB
B
A 


B
B
n
e
n
e
B
A 
Direction of
and using
(a) right-hand rule,
(b) right-handed
screw rule
n
e
53
If and then
z
y
x
z
y
x
z
y
x
B
B
B
A
A
A
e
e
e
B
A 

)
,
A
,
A
,
A
(
A Z
Y
X
 )
B
,
B
,
B
(
B Z
Y
X

z
x
y
y
x
y
z
x
x
z
x
y
z
z
y e
)
B
A
B
A
(
e
)
B
A
B
A
(
e
)
B
A
B
A
( 





Chapter 1
 Example
Given A = 2ax–3ay+az and B = –4ax–2ay+5az, find AB.
( ) ( ) ( )
y z z y x z x x z y x y y x z
A B A B A B A B A B A B
      
A B a a a
     
( 3)(5) (1)( 2) (1)( 4) (2)(5) (2)( 2) ( 3)( 4)
x y z
           
a a a
13 14 16
x y z
   
a a a
𝑨 × 𝑩 =
𝐚𝑥 𝐚𝑦 𝐚𝑧
𝐴𝑥 𝐴𝑦 𝐴𝑧
𝐵𝑥 𝐵𝑦 𝐵𝑧
The Cross Product
55
Note that the cross product has the following basic
properties:
(i) It is not commutative:
It is anticommutative:
(ii) It is not associative:
(iii) It is distributive:
(iv)
A
B
B
A 


A
B
B
A 



C
)
B
A
(
)
C
B
(
A 




C
A
B
A
C
B
A 




 )
(
0
A
A 
 )
0
(sin 

56
Also note that
which are obtained in cyclic permutation and illustrated
below.
y
x
z
x
z
y
z
y
x
e
e
e
e
e
e
e
e
e






Cross product using cyclic permutation: (a) moving clockwise leads to positive results;
(b) moving counterclockwise leads to negative results
57
Scalar and Vector Fields
• A field can be defined as a function that specifies a particular quantity
everywhere in a region (e.g., temperature, distribution in a building), or as a
spatial distribution of a quantity, which may or may not be a function of time.
Scalar quantity scalar function of position scalar field
Vector quantity vector function of position vector field
• A field (scalar or vector) may be defined mathematically as some function of
that vector which connects an arbitrary origin to a general point in space.
• The temperature throughout the bowl of soup and the density at any point in
the earth are examples of scalar fields .
• The gravitational and magnetic fields of the earth, the voltage gradient in a
cable are examples of vector fields .
 
 
58
59
• In order to define the position of a point in space, an appropriate
coordinate system is needed.
• A considerable amount of work and time may be saved by choosing a
coordinate system that best fits a given problem.
• A hard problem in one coordinate system may turn out to be easy in
another system.
• We will consider the Cartesian, the circular cylindrical, and the
spherical coordinate systems.
• All three are orthogonal(the coordinates are mutually perpendicular).
The Coordinate Systems
60
Cartesian coordinates (x,y,z)
The ranges of the coordinate variables are
A vector in Cartesian coordinates can be written as
The intersection of three
orthogonal infinite places
(x=const, y= const, and z =
const)
defines point P.















z
y
x
z
z
y
y
x
x
z
y
x e
A
e
A
e
A
or
)
A
,
A
,
A
( 

A
Constant x, y and z surfaces
The Cartesian Coordinate System
61
z
y
x e
dz
e
dy
e
dx
dl 


Differential elements in the right handed Cartesian coordinate system
dxdydz
d 

Review of Vector Analysis
62
z
y
x
a
dxdy
a
dxdz
a
dydz
dS 
Review of Vector Analysis
Cylindrical Coordinates .
- the radial distance from the z – axis
- the azimuthal angle, measured from the x-
axis in the xy – plane
- the same as in the Cartesian system.
A vector A in cylindrical coordinates can be written as
Cylindrical coordinates amount to a combination of
rectangular coordinates and polar coordinates.
)
z
,
,
( 











z



2
0
0
2
/
1
2
2
2
)
A
(
A
A
or
)
,
(
z
z
z
z
A
A
e
A
e
A
e
A
A
A













The Cylindrical Coordinate System
Chapter 1
The Cylindrical Coordinate System
Chapter 1
• Differential surface units:
d dz
 
d dz
  
d d
  

• Differential volume unit :
d d dz
  
 
cos
x  
 
sin
y  
 
z z

2 2
x y
  
1
tan
y
x
 

z z

• Relation between the rectangular
and the cylindrical coordinate
systems
The Cylindrical Coordinate System
66
Positions in the x-y plane are determined by the values of
Relationship between (x,y,z) and )
z
,
,
( 


 and
z
z
x
y
tan
y
x 1
2
2





 
Review of Vector Analysis
67












e
e
e
e
e
e
e
e
e
z
z
z
0
e
e
e
e
e
e
1
e
e
e
e
e
e
z
z
z





















Point P and unit vectors
in the cylindrical
coordinate system
68
z
and
,

semi-infinite
plane with its
edge along
the z - axis
Constant surfaces
Review of Vector Analysis
69
Differential elements in cylindrical coordinates
Metric coefficient
z
p a
dz
a
d
a
d
dl 




 
dz
d
d
dv 



Review of Vector Analysis

a
z
a

a
Chapter 1
• Dot products of unit vectors in
cylindrical and rectangular coordinate
systems
y
a
z
a
x
a
A 
 
A a
( )
x x y y z z
A A A 
  
a a + a a
x x y y z z
A A A
  
    
a a a a + a a
cos sin
x y
A A
 
 
A 
 
A a
( )
x x y y z z
A A A 
  
a a + a a
x x y y z z
A A A
  
    
a a a a + a a
sin cos
x y
A A
 
  
z z
A  
A a
( )
x x y y z z z
A A A
  
a a + a a
x x z y y z z z z
A A A
    
a a a a + a a
z
A

?
x x y y z z z z
A A A A A A
   
    
A a a + a A a a + a
The Cylindrical Coordinate System
71
Planar surface
( = const)
Cylindrical
surface
( =const)

dS  ddza
ddza
ddaz
Planar surface
( z =const)

Review of Vector Analysis


Spherical coordinates .
- the distance from the origin to the point P
- the angle between the z-axis and the radius
vector of P
- the same as the azimuthal angle in
cylindrical coordinates
)
,
,
r
( 


0  r  
0    
Colatitude
(polarangle)
0    2
The Spherical Coordinate System
The Spherical Coordinate System
Chapter 1 Vector Analysis
• Differential surface units:
dr rd

sin
dr r d
 

sin
rd r d
  

• Differential volume unit :
sin
dr rd r d
  
 
The Spherical Coordinate System
sin cos
x r  

sin sin
y r  

cos
z r 

2 2 2
, 0
r x y z r
   
1
2 2 2
cos , 0 180
z
x y z
 

    
 
1
tan
y
x
 

• Relation between the rectangular and the
spherical coordinate systems
Chapter 1
• Dot products of unit vectors in spherical and
rectangular coordinate systems
The Spherical Coordinate System
76
2
/
1
2
2
2
r
r
r
r
)
A
A
A
(
A
e
A
e
A
e
A
or
)
A
A
,
A
(

























e
e
e
e
e
e
e
e
e
r
r
r
0
e
e
e
e
e
e
1
e
e
e
e
e
e
r
r
r
r




















A vector A in spherical coordinates may be
written as
Point P and unit vectors in spherical
coordinates
 Example
Given the two points, C (–3,2,1) and D (r = 5, θ = 20°, Φ = –70°), find: (a) the
spherical coordinates of C; (b) the rectangular coordinates of D.
2 2 2
r x y z
  
1
2 2 2
cos
z
x y z
 

 
1
tan
y
x
 

2 2 2
( 3) (2) (1)
    3.742

1 1
cos
3.742

 74.50
 
1 2
tan
3



33.69 180
    146.31
 
( 3.742, 74.50 , 146.31 )
C r  
     
( 0.585, 1.607, 4.698)
D x y z
    
The Spherical Coordinate System
78








cos
r
z
sin
sin
r
y
cos
sin
r
x
2
2
1
1
-
2
2
1
2
2
2
y
x
x
cos
x
y
tan
z
y
x
tan
z
y
x
r









 

r
z
cos
z
tan 1
1 





Relationships between space variables )
z
,
,
(
and
),
,
,
r
(
),
z
,
y
,
x
( 



79
Differential elements in the spherical coordinate system

 




 a
d
sin
r
a
rd
a
dr
dl r



 d
drd
sin
r
dv 2
Review of Vector Analysis
80









a
d
r
d
r
a
d
r
d
sin
r
a
d
d
sin
r
dS r
2
Review of Vector Analysis
Electric and Magnetic Fields (EEE2303)-lecture 1-3 - Vector Analysis.pptx

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Electric and Magnetic Fields (EEE2303)-lecture 1-3 - Vector Analysis.pptx

  • 1. EEE2303-Electric and Magnetic Fields DR. MONA IBRAHIM
  • 2. Lecture 1 VECTOR ANALYSIS AND COORDINATES EEE2303-Electric and Magnetic Fields DR. MONA IBRAHIM
  • 3. Coordinate Systems  Used to describe the position of a point in space  Coordinate system consists of  A fixed reference point called the origin  Specific axes with scales and labels  Instructions on how to label a point relative to the origin and the axes
  • 4. Cartesian Coordinate System  Also called rectangular coordinate system  x- and y- axes intersect at the origin  Points are labeled (x,y)
  • 5. Polar Coordinate System  Origin and reference line are noted  Point is distance r from the origin in the direction of angle , ccw from reference line  Points are labeled (r,)
  • 6. Polar to Cartesian Coordinates  Based on forming a right triangle from r and   x = r cos   y = r sin 
  • 7. Trigonometry Review  Given various radius vectors, find  Length and angle  x- and y-components  Trigonometric functions: sin, cos, tan
  • 8. Cartesian to Polar Coordinates  r is the hypotenuse and  an angle   must be ccw from positive x axis for these equations to be valid 2 2 tan y x r x y    
  • 9. Example 1.1  The Cartesian coordinates of a point in the xy plane are (x,y) = (-3.50, -2.50) m, as shown in the figure. Find the polar coordinates of this point. Solution: 2 2 2 2 ( 3.50 m) ( 2.50 m) 4.30 m r x y        2.50 m tan 0.714 3.50 m 216 (signs give quadrant) y x         
  • 10. Example 1.1, cont.  Change the point in the x-y plane  Note its Cartesian coordinates  Note its polar coordinates Please insert active fig. 3.3 here
  • 11. Vectors and Scalars  Vector analysis is a mathematical tool with which electromagnetic (EM) concepts are most conveniently expressed and best comprehended.  A scalar quantity is completely specified by a single value with an appropriate unit and has no direction. (e.g.,mass, temperature, electric potential, population). it has only magnitude  A vector quantity is completely described by a number and appropriate units plus a direction. It has both magnitude and direction (e.g., Velocity, force, electric field intensity).  Vectors are typically illustrated by drawing an ARROW above the symbol. The arrow is used to convey direction and magnitude.
  • 12. Vector Example  A particle travels from A to B along the path shown by the dotted red line  This is the distance traveled and is a scalar  The displacement is the solid line from A to B  The displacement is independent of the path taken between the two points  Displacement is a vector
  • 13. Vector Notation  Text uses bold with arrow to denote a vector:  Also used for printing is simple bold print: A  When dealing with just the magnitude of a vector in print, an italic letter will be used: A or | |  The magnitude of the vector has physical units  The magnitude of a vector is always a positive number  When handwritten, use an arrow: A A A
  • 14. Equality of Two Vectors  Two vectors are equal if they have the same magnitude and the same direction  if A = B and they point along parallel lines  All of the vectors shown are equal  A B
  • 15. Adding Vectors  When adding vectors, their directions must be taken into account  Units must be the same  Graphical Methods  Use scale drawings  Algebraic Methods  More convenient
  • 16. Adding Vectors Graphically  Choose a scale  Draw the first vector, , with the appropriate length and in the direction specified, with respect to a coordinate system  Draw the next vector with the appropriate length and in the direction specified, with respect to a coordinate system whose origin is the end of vector and parallel to the coordinate system used for A A A
  • 17. Adding Vectors Graphically, cont.  Continue drawing the vectors “tip-to-tail”  The resultant is drawn from the origin of to the end of the last vector  Measure the length of and its angle  Use the scale factor to convert length to actual magnitude A R
  • 18. Adding Vectors Graphically, final  When you have many vectors, just keep repeating the process until all are included  The resultant is still drawn from the tail of the first vector to the tip of the last vector
  • 19. Adding Vectors, Rules  When two vectors are added, the sum is independent of the order of the addition.  This is the Commutative Law of Addition     A B B A
  • 20. Adding Vectors, Rules cont.  When adding three or more vectors, their sum is independent of the way in which the individual vectors are grouped  This is called the Associative Property of Addition           A B C A B C
  • 21. Adding Vectors, Rules final  When adding vectors, all of the vectors must have the same units  All of the vectors must be of the same type of quantity  For example, you cannot add a displacement to a velocity
  • 22. Negative of a Vector  The negative of a vector is defined as the vector that, when added to the original vector, gives a resultant of zero  Represented as   The negative of the vector will have the same magnitude, but point in the opposite direction A   0    A A
  • 23. Subtracting Vectors  Special case of vector addition  If , then use  Continue with standard vector addition procedure     A B  A B
  • 24. Subtracting Vectors, Method 2  Another way to look at subtraction is to find the vector that, added to the second vector gives you the first vector   As shown, the resultant vector points from the tip of the second to the tip of the first      A B C
  • 25. Multiplying or Dividing a Vector by a Scalar  The result of the multiplication or division of a vector by a scalar is a vector  The magnitude of the vector is multiplied or divided by the scalar  If the scalar is positive, the direction of the result is the same as of the original vector  If the scalar is negative, the direction of the result is opposite that of the original vector
  • 26. Component Method of Adding Vectors  Graphical addition is not recommended when  High accuracy is required  If you have a three-dimensional problem  Component method is an alternative method  It uses projections of vectors along coordinate axes
  • 27. Components of a Vector, Introduction  A component is a projection of a vector along an axis  Any vector can be completely described by its components  It is useful to use rectangular components  These are the projections of the vector along the x- and y- axes
  • 28. Vector Component Terminology  are the component vectors of  They are vectors and follow all the rules for vectors  Ax and Ay are scalars, and will be referred to as the components of x y and A A A A
  • 29. Components of a Vector  Assume you are given a vector  It can be expressed in terms of two other vectors, and  These three vectors form a right triangle  A x A y A x y   A A A
  • 30. Components of a Vector, 2  The y-component is moved to the end of the x-component  This is due to the fact that any vector can be moved parallel to itself without being affected  This completes the triangle
  • 31. Components of a Vector, 3  The x-component of a vector is the projection along the x-axis  The y-component of a vector is the projection along the y-axis  This assumes the angle θ is measured with respect to the x-axis  If not, do not use these equations, use the sides of the triangle directly cos x A A   sin y A A  
  • 32. Components of a Vector, 4  The components are the legs of the right triangle whose hypotenuse is the length of A  May still have to find θ with respect to the positive x-axis 2 2 1 and tan y x y x A A A A A     
  • 33. Components of a Vector, final  The components can be positive or negative and will have the same units as the original vector  The signs of the components will depend on the angle
  • 34. Unit Vectors  A unit vector is a dimensionless vector with a magnitude of exactly 1.  Unit vectors are used to specify a direction and have no other physical significance
  • 35. Unit Vectors, cont.  The symbols represent unit vectors  They form a set of mutually perpendicular vectors in a right- handed coordinate system  Remember, k̂ and , ĵ , î ˆ ˆ ˆ 1    i j k
  • 36. Viewing a Vector and Its Projections  Rotate the axes for various views  Study the projection of a vector on various planes  x, y  x, z  y, z
  • 37. Unit Vectors in Vector Notation  Ax is the same as Ax and Ay is the same as Ay etc.  The complete vector can be expressed as î ĵ ˆ ˆ   x y A A A i j
  • 38. Adding Vectors Using Unit Vectors  Using  Then  and so Rx = Ax + Bx and Ry = Ay + By         ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ x y x y x x y y x y A A B B A B A B R R           R i j i j R i j R i j 2 2 1 tan y x y x R R R R R        R A B
  • 39. Adding Vectors with Unit Vectors  Note the relationships among the components of the resultant and the components of the original vectors  Rx = Ax + Bx  Ry = Ay + By
  • 40. Three-Dimensional Extension  Using  Then  and so Rx= Ax+Bx, Ry= Ay+By, and Rz =Az+Bz           ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ x y z x y z x x y y z z x y z A A A B B B A B A B A B R R R                R i j k i j k R i j k R i j k 2 2 2 1 cos , . x x y z R R R R R etc R         R A B
  • 41.    r x y z x y z x y z    r a a a , , : x y z a a a unit vectors ? PQ R PQ Q P   R r r (2 2 ) (1 2 3 ) x y z x y z       a a a a a a 4 2 x y z    a a a Vector Components and Unit Vectors
  • 42.  For any vector B, : x x y y z z B B B   B a a + a 2 2 2 x y z B B B    B Magnitude of B B  2 2 2 B x y z B B B    B a  B B Unit vector in the direction of B  Example Given points M (–1,2,1) and N (3,–3,0), find RMN and aMN. (3 3 0 ) ( 1 2 1 ) MN x y z x y z        R a a a a a a 4 5 x y z    a a a MN MN MN  R a R 2 2 2 4 5 1 4 ( 5) ( 1) x y z        a a a 0.617 0.772 0.154 x y z    a a a Vector Components and Unit Vectors
  • 43. • Differential surface units: dx dy  dy dz  dx dz  • Differential volume unit : dx dy dz   Rectangular Coordinate System
  • 44. 44 The three basic laws of algebra obeyed by any given vector A, B, and C, are summarized as follows: Law Addition Multiplication Commutative Associative Distributive where k and l are scalars A B B A    C ) B A ( ) C B ( A      k A A k  A ) kl ( ) A l ( k  B k A k ) B A ( k   
  • 45. 45 When two vectors and are multiplied, the result is either a scalar or a vector depending on how they are multiplied. There are two types of vector multiplication: 1. Scalar (or dot) product: 2.Vector (or cross) product: The dot product of the two vectors and is defined geometrically as the product of the magnitude of and the projection of onto (or vice versa): where is the smaller angle between and B A B A B B A  B A  A B cos AB B A    A B A B  A B Multiplication of Vectors:
  • 46.  Given two vectors A and B, the dot product, or scalar product, is defines as the product of the magnitude of A, the magnitude of B, and the cosine of the smaller angle between them: cos AB    A B A B  The dot product is a scalar, and it obeys the commutative law:    A B B A  For any vector and , x x y y z z A A A   A a a + a x x y y z z B B B   B a a + a x x y y z z A B A B A B    A B + The Dot Product
  • 47. 47 If and then which is obtained by multiplying and component by component ) , A , A , A ( A Z Y X  ) B , B , B ( B Z Y X  Z Z Y Y X X B A B A B A B A     A B A B B A    C A B A C B A       ) (  A A  A 2  A2 eX  ex  ey  ey  eZ  ez 1  eX  ey  ey  ez  eZ  ex  0
  • 48.   on AB AC AB AC AC   R R R a a 2 2 2 2 2 2 ( 9 2 3 ) ( 9 2 3 ) ( 8 4 6 ) ( 9) (2) (3) ( 9) (2) (3) x y z x y z x y z                           a a a a a a a a a ( 9 2 3 ) 62 94 94 x y z     a a a 5.963 1.319 1.979 x y z     a a a  Example The three vertices of a triangle are located at A(6,–1,2), B (–2,3,–4), and C (–3,1,5). Find: (a) RAB; (b) RAC; (c) the angle θBAC at vertex A; (d) the vector projection of RAB on RAC. The Dot Product
  • 49.  One of the most important applications of the dot product is that of finding the component of a vector in a given direction. Chapter 1 cos Ba    B a B a cos Ba   B • The scalar component of B in the direction of the unit vector a is Ba • The vector component of B in the direction of the unit vector a is (Ba)a The Dot Product
  • 50. Chapter 1 Vector Analysis  Example The three vertices of a triangle are located at A(6,–1,2), B (–2,3,–4), and C (–3,1,5). Find: (a) RAB; (b) RAC; (c) the angle θBAC at vertex A; (d) the vector projection of RAB on RAC. ( 2 3 4 ) (6 2 ) AB x y z x y z        R a a a a a a 8 4 6 x y z     a a a ( 3 1 5 ) (6 2 ) AC x y z x y z        R a a a a a a 9 2 3 x y z     a a a A B C BAC  cos AB AC AB AC BAC    R R R R cos AB AC BAC AB AC     R R R R 2 2 2 2 2 2 ( 8 4 6 ) ( 9 2 3 ) ( 8) (4) ( 6) ( 9) (2) (3) x y z x y z                a a a a a a 62 116 94  1 cos (0.594) BAC     53.56   0.594  The Dot Product
  • 51. sin N AB    A B a A B Chapter 1 Vector Analysis  Given two vectors A and B, the magnitude of the cross product, or vector product, written as AB, is defines as the product of the magnitude of A, the magnitude of B, and the sine of the smaller angle between them.  The direction of AB is perpendicular to the plane containing A and B and is in the direction of advance of a right-handed screw as A is turned into B.  The cross product is a vector, and it is not commutative: ( ) ( )     B A A B x y z y z x z x y       a a a a a a a a a The Cross Product
  • 52. 52 The cross product of two vectors and is defined as where is a unit vector normal to the plane containing and . The direction of is determined using the right- hand rule or the right-handed screw rule. A A n A Be sin AB B A    B B n e n e B A  Direction of and using (a) right-hand rule, (b) right-handed screw rule n e
  • 53. 53 If and then z y x z y x z y x B B B A A A e e e B A   ) , A , A , A ( A Z Y X  ) B , B , B ( B Z Y X  z x y y x y z x x z x y z z y e ) B A B A ( e ) B A B A ( e ) B A B A (      
  • 54. Chapter 1  Example Given A = 2ax–3ay+az and B = –4ax–2ay+5az, find AB. ( ) ( ) ( ) y z z y x z x x z y x y y x z A B A B A B A B A B A B        A B a a a       ( 3)(5) (1)( 2) (1)( 4) (2)(5) (2)( 2) ( 3)( 4) x y z             a a a 13 14 16 x y z     a a a 𝑨 × 𝑩 = 𝐚𝑥 𝐚𝑦 𝐚𝑧 𝐴𝑥 𝐴𝑦 𝐴𝑧 𝐵𝑥 𝐵𝑦 𝐵𝑧 The Cross Product
  • 55. 55 Note that the cross product has the following basic properties: (i) It is not commutative: It is anticommutative: (ii) It is not associative: (iii) It is distributive: (iv) A B B A    A B B A     C ) B A ( ) C B ( A      C A B A C B A       ) ( 0 A A   ) 0 (sin  
  • 56. 56 Also note that which are obtained in cyclic permutation and illustrated below. y x z x z y z y x e e e e e e e e e       Cross product using cyclic permutation: (a) moving clockwise leads to positive results; (b) moving counterclockwise leads to negative results
  • 57. 57 Scalar and Vector Fields • A field can be defined as a function that specifies a particular quantity everywhere in a region (e.g., temperature, distribution in a building), or as a spatial distribution of a quantity, which may or may not be a function of time. Scalar quantity scalar function of position scalar field Vector quantity vector function of position vector field • A field (scalar or vector) may be defined mathematically as some function of that vector which connects an arbitrary origin to a general point in space. • The temperature throughout the bowl of soup and the density at any point in the earth are examples of scalar fields . • The gravitational and magnetic fields of the earth, the voltage gradient in a cable are examples of vector fields .    
  • 58. 58
  • 59. 59 • In order to define the position of a point in space, an appropriate coordinate system is needed. • A considerable amount of work and time may be saved by choosing a coordinate system that best fits a given problem. • A hard problem in one coordinate system may turn out to be easy in another system. • We will consider the Cartesian, the circular cylindrical, and the spherical coordinate systems. • All three are orthogonal(the coordinates are mutually perpendicular). The Coordinate Systems
  • 60. 60 Cartesian coordinates (x,y,z) The ranges of the coordinate variables are A vector in Cartesian coordinates can be written as The intersection of three orthogonal infinite places (x=const, y= const, and z = const) defines point P.                z y x z z y y x x z y x e A e A e A or ) A , A , A (   A Constant x, y and z surfaces The Cartesian Coordinate System
  • 61. 61 z y x e dz e dy e dx dl    Differential elements in the right handed Cartesian coordinate system dxdydz d   Review of Vector Analysis
  • 63. Cylindrical Coordinates . - the radial distance from the z – axis - the azimuthal angle, measured from the x- axis in the xy – plane - the same as in the Cartesian system. A vector A in cylindrical coordinates can be written as Cylindrical coordinates amount to a combination of rectangular coordinates and polar coordinates. ) z , , (             z    2 0 0 2 / 1 2 2 2 ) A ( A A or ) , ( z z z z A A e A e A e A A A              The Cylindrical Coordinate System
  • 64. Chapter 1 The Cylindrical Coordinate System
  • 65. Chapter 1 • Differential surface units: d dz   d dz    d d     • Differential volume unit : d d dz      cos x     sin y     z z  2 2 x y    1 tan y x    z z  • Relation between the rectangular and the cylindrical coordinate systems The Cylindrical Coordinate System
  • 66. 66 Positions in the x-y plane are determined by the values of Relationship between (x,y,z) and ) z , , (     and z z x y tan y x 1 2 2        Review of Vector Analysis
  • 68. 68 z and ,  semi-infinite plane with its edge along the z - axis Constant surfaces Review of Vector Analysis
  • 69. 69 Differential elements in cylindrical coordinates Metric coefficient z p a dz a d a d dl        dz d d dv     Review of Vector Analysis
  • 70.  a z a  a Chapter 1 • Dot products of unit vectors in cylindrical and rectangular coordinate systems y a z a x a A    A a ( ) x x y y z z A A A     a a + a a x x y y z z A A A         a a a a + a a cos sin x y A A     A    A a ( ) x x y y z z A A A     a a + a a x x y y z z A A A         a a a a + a a sin cos x y A A      z z A   A a ( ) x x y y z z z A A A    a a + a a x x z y y z z z z A A A      a a a a + a a z A  ? x x y y z z z z A A A A A A          A a a + a A a a + a The Cylindrical Coordinate System
  • 71. 71 Planar surface ( = const) Cylindrical surface ( =const)  dS  ddza ddza ddaz Planar surface ( z =const)  Review of Vector Analysis  
  • 72. Spherical coordinates . - the distance from the origin to the point P - the angle between the z-axis and the radius vector of P - the same as the azimuthal angle in cylindrical coordinates ) , , r (    0  r   0     Colatitude (polarangle) 0    2 The Spherical Coordinate System
  • 74. Chapter 1 Vector Analysis • Differential surface units: dr rd  sin dr r d    sin rd r d     • Differential volume unit : sin dr rd r d      The Spherical Coordinate System
  • 75. sin cos x r    sin sin y r    cos z r   2 2 2 , 0 r x y z r     1 2 2 2 cos , 0 180 z x y z           1 tan y x    • Relation between the rectangular and the spherical coordinate systems Chapter 1 • Dot products of unit vectors in spherical and rectangular coordinate systems The Spherical Coordinate System
  • 77.  Example Given the two points, C (–3,2,1) and D (r = 5, θ = 20°, Φ = –70°), find: (a) the spherical coordinates of C; (b) the rectangular coordinates of D. 2 2 2 r x y z    1 2 2 2 cos z x y z      1 tan y x    2 2 2 ( 3) (2) (1)     3.742  1 1 cos 3.742   74.50   1 2 tan 3    33.69 180     146.31   ( 3.742, 74.50 , 146.31 ) C r         ( 0.585, 1.607, 4.698) D x y z      The Spherical Coordinate System
  • 79. 79 Differential elements in the spherical coordinate system         a d sin r a rd a dr dl r     d drd sin r dv 2 Review of Vector Analysis