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EEL 3472
Review of
Vector Analysis
EEL 34722
Review of Vector Analysis
Vector analysis is a mathematical tool with which
electromagnetic (EM) concepts are most conveniently
expressed and best comprehended.
A quantity is called a scalar if it has only magnitude (e.g.,
mass, temperature, electric potential, population).
A quantity is called a vector if it has both magnitude and
direction (e.g., velocity, force, electric field intensity).
The magnitude of a vector is a scalar written as A or
A
A A
Review of Vector Analysis
EEL 34723
A unit vector along is defined as a vector whose
magnitude is unity (that is,1) and its direction is along
A
A
A
A
eA  )e( A 1
Thus
Ae
which completely specifies in terms of A and its
direction Ae
A
AeAA 
Review of Vector Analysis
EEL 34724
A vector in Cartesian (or rectangular) coordinates may
be represented as
or
where AX, Ay, and AZ are called the components of in the
x, y, and z directions, respectively; , , and are unit
vectors in the x, y and z directions, respectively.
zzyyxx eAeAeA )A,A,A( zyx
A
A
Review of Vector Analysis

xe

ze

ye
EEL 34725
Suppose a certain
vector is given by
The magnitude or
absolute value of
the vector is
(from the Pythagorean theorem)
zyx e4e3e2V 
V
385.5432V 222

V
Review of Vector Analysis
EEL 34726
The Radius Vector
A point P in Cartesian coordinates may be represented by
specifying (x, y, z). The radius vector (or position vector) of
point P is defined as the directed distance from the origin O
to P; that is,
The unit vector in the direction of r is
zyx ezeyexr 
r
r
zyx
ezeyex
e zyx
r 



222
Review of Vector Analysis
EEL 34727
Vector Algebra
Two vectors and can be added together to give
another vector ; that is ,
Vectors are added by adding their individual components.
Thus, if and
A B
C
BAC 
zzyyxx eAeAeA  zzyyxx eBeBeBB 
zzzyyyxxx e)BA(e)BA(e)BA(C 
Review of Vector Analysis
EEL 34728
Parallelogram Head to
rule tail rule
Vector subtraction is similarly carried out as
zzzyyyxxx e)BA(e)BA(e)BA(D
)B(ABAD


Review of Vector Analysis
EEL 34729
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
ABBA 
C)BA()CB(A 
kAAk 
A)kl()Al(k 
BkAk)BA(k 
Review of Vector Analysis
EEL 347210
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
A
ABcosABBA 
BA 
B
AB
A
BA 
A B
B
B
A B
Review of Vector Analysis
EEL 347211
If and then
which is obtained by multiplying and component by
component
),A,A,A(A ZYX )B,B,B(B ZYX
ZZYYXX
BABABABA 
A B
ABBA 
CABACBA  )(

A A  A
2
 A2
eX  ex  ey  ey  eZ  ez 1

eX  ey  ey  ez  eZ  ex  0
Review of Vector Analysis
EEL 347212
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
nAB esinABBA 
B
B
ne
ne
BA Direction of
and using
(a) right-hand rule,
(b) right-handed
screw rule
ne
Review of Vector Analysis
EEL 347213
If and then
zyx
zyx
zyx
BBB
AAA
eee
BA 
),A,A,A(A ZYX )B,B,B(B ZYX
zxyyxyzxxzxyzzy e)BABA(e)BABA(e)BABA( 
Review of Vector Analysis
EEL 347214
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)
ABBA 
ABBA 
C)BA()CB(A 
CABACBA  )(
0AA  )0(sin 
Review of Vector Analysis
EEL 347215
Also note that
which are obtained in cyclic permutation and illustrated
below.
yxz
xzy
zyx
eee
eee
eee



Cross product using cyclic permutation: (a) moving clockwise leads to positive results;
(b) moving counterclockwise leads to negative results
Review of Vector Analysis
EEL 347216
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




Review of Vector Analysis
EEL 347217
Review of Vector Analysis
EEL 347218
Line Integrals
A line integral of a vector field can be calculated whenever a
path has been specified through the field.
The line integral of the field along the path P is defined asV
 
2
1
P
PP
dlcosVdlV
Review of Vector Analysis
EEL 347219
Review of Vector Analysis
EEL 347220
Example. The vector is given by where Vo
is a constant. Find the line integral
where the path P is the closed path below.
It is convenient to break the path P up into the four parts P1,
P2, P3 , and P4.
dlVI
P
 
V xoeVV 
Review of Vector Analysis
EEL 347221
For segment P1, Thus
For segment P2, and
xedxdl 
 



o o
1
xx
0x
x
0
ooooxxoxxo
P
xV)0x(Vdx)ee(V)edx()eV(dlV
yedydl 
)0e(since0)()(dl x
02
 


y
yy
y
yxo
P
eedyeVV
o
Review of Vector Analysis

V Voex
EEL 347222
For segment P3,

dl  dxex (the differential lengthdl points to the left)
oo
xx
x
xxo
P
xV-)edx()eV(dlV
o
 

03
0
4
 dlV
P
field)ive(conservat00xV0xVI oooo
P P PP 2 3 41
   
Review of Vector Analysis
EEL 347223
Example. Let the vector field be given by .
Find the line integral of over the semicircular path shown
below
xoeVV 
V
V
Consider the contribution of
the path segment located at
the angle 

dl  dl cosex
 dl siney
Since    - 90
cos  cos( - 90)  sin
sin  sin( - 90)  cos
dl  dl sinex
 dl cosey
 ad
dl
{ (sinex  cosey )
Review of Vector Analysis
EEL 347224

o
oo
yxxxo
yxxo
aV
aVdaV
deeeeaV
adeeeVI
2
)0cos180cos(sin
])(cos)([sin
)cos(sin)(
11
180
0
0
180
0 1
180
0












 






Review of Vector Analysis
EEL 347225
Surface Integrals
Surface integration amounts to adding up normal
components of a vector field over a given surface S.
We break the surface S into small surface elements and
assign to each element a vector
is equal to the area of the surface element
is the unit vector normal (perpendicular) to the surface
element
nedsds 
ne
ds
The flux of
a vector
field A
through
surface S
Review of Vector Analysis
EEL 347226
(If S is a closed surface, is by convention directed
outward)
Then we take the dot product of the vector field at the
position of the surface element with vector . The result is
a differential scalar. The sum of these scalars over all the
surface elements is the surface integral.
is the component of in the direction of (normal
to the surface). Therefore, the surface integral can be
viewed as the flow (or flux) of the vector field through the
surface S
(the net outward flux in the case of a closed surface).
ds
ds
ds
V
cosV
 
SS
cosdsVdsV
V
Review of Vector Analysis
EEL 347227
Example. Let be the radius vector
The surface S is defined by
The normal to the surface is directed in the +z direction
Find
V
dyd
dxd
cz



 
S
dsV
zyx ezeyexV 
Review of Vector Analysis
EEL 347228
V is not perpendicular to S, except at one point on the Z axis
Surface S
Review of Vector Analysis
EEL 347229
 
SS
cosdsVdsV
c4d(-d)]-2dc[d
dx)]d(d[cdydx
cyx
c
cyxdsV
cyx
c
cosdxdydscyxV
2
dx
dx
ds
cos
222
dx
dx
dy
dy
V
222
S
222
222






 








    
Review of Vector Analysis
EEL 347230
Introduction to Differential Operators
An operator acts on a vector field at a point to produce
some function of the vector field. It is like a function of a
function.
If O is an operator acting on a function f(x) of the single
variable X , the result is written O[f(x)]; and means that
first f acts on X and then O acts on f.
Example. f(x) = x2 and the operator O is (d/dx+2)
O[f(x)]=d/dx(x2 ) + 2(x2 ) = 2x +2(x2 ) = 2x(1+x)
Review of Vector Analysis
EEL 347231
An operator acting on a vector field can produce
either a scalar or a vector.
Example. (the length operator),
Evaluate at the point x=1, y=2, z=-2
Thus, O is a scalar operator acting on a vector field.
Example. , ,
x=1, y=2, z=-2
Thus, O is a vector operator acting on a vector field.
)]z,y,x(V[O

O(A)  A A yx ezey3V 
)V(O
scalar32.640zy9VV)V(O 22

A2AAA)A(O  yx ezey3V 
vectore65.16e49.95
e4e1240)e2e(6
ez2ey6zy9)ezey3()V(O
yx
yxyx
yx
22
yx



Review of Vector Analysis
EEL 347232
Vector fields are often specified in terms of their rectangular
components:
where , , and are three scalar features functions of
position. Operators can then be specified in terms of ,
, and .
The divergence operator is defined as
zzyyxx e)z,y,x(Ve)x,y,x(Ve)z,y,x(V)z,y,x(V 
xV yV zV
zyx V
z
V
y
V
x
V









xV
yV zV
Review of Vector Analysis
EEL 347233
Example . Evaluate at the
point x=1, y=-1, z=2.
zyx
2
e)x2(eyexV  V
0V
z
1V
y
x2V
x
x2VyVxV
zyx
zy
2
x










31x2V 
Clearly the divergence operator is a scalar operator.
Review of Vector Analysis
EEL 347234
1. - gradient, acts on a scalar to produce a vector
2. - divergence, acts on a vector to produce a scalar
3. - curl, acts on a vector to produce a vector
4. -Laplacian, acts on a scalar to produce a scalar
Each of these will be defined in detail in the subsequent
sections.
V
V
V
V2

Review of Vector Analysis
EEL 347235
Coordinate Systems
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).
Review of Vector Analysis
EEL 347236
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
zzyyxxzyx eAeAeAor)A,A,A( 
A
Constant x, y and z surfaces
Review of Vector Analysis
EEL 347237
zyx edzedyedxdl 
Differential elements in the right handed Cartesian coordinate system
dxdydzd 
Review of Vector Analysis
EEL 347238
z
y
x
adxdy
adxdz
adydzdS 
Review of Vector Analysis
EEL 347239
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 in cylindrical coordinates can be written as
Cylindrical coordinates amount to a combination of
rectangular coordinates and polar coordinates.
)z,,( 



z
20
0
2/12
z
22
zzz
)AAA(A
eAeAeAor)AA,A(




Review of Vector Analysis
EEL 347240
Positions in the x-y plane are determined by the values of
Relationship between (x,y,z) and )z,,( 
 and
zz
x
y
tanyx 122
 
Review of Vector Analysis
EEL 347241






eee
eee
eee
z
z
z
0eeeeee
1eeeeee
z
zz




Point P and unit vectors
in the cylindrical
coordinate system
Review of Vector Analysis
EEL 347242
zand,
semi-infinite
plane with its
edge along
the z - axis
Constant surfaces
Review of Vector Analysis
EEL 347243
Differential elements in cylindrical coordinates
Metric coefficient
zp adzadaddl  
dzdddv 
Review of Vector Analysis
EEL 347244
Planar surface
( = const)
Cylindrical
surface
( =const)

dS  ddza
ddza
ddaz
Planar surface
( z =const)
Review of Vector Analysis


EEL 347245
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( 
Review of Vector Analysis

0  r  
0    
Colatitude
(polar angle)
1 24 34
0    2
EEL 347246
2/1222
r
rrr
)AAA(A
eAeAeAor)AA,A(










eee
eee
eee
r
r
r
0eeeeee
1eeeeee
rr
rr




A vector A in spherical coordinates may be
written as
Point P and unit vectors in spherical
coordinates
Review of Vector Analysis
EEL 347247



cosrz
sinsinry
cossinrx
22
11-
22
1222
yx
x
cos
x
y
tan
z
yx
tanzyxr



 
r
z
cos
z
tan 11 



Relationships between space variables )z,,(and),,,r(),z,y,x( 
Review of Vector Analysis
EEL 347248
 and,,rConstant surfaces
Review of Vector Analysis
EEL 347249
Differential elements in the spherical coordinate system
  adsinrardadrdl r
 ddrdsinrdv 2
Review of Vector Analysis
EEL 347250





adrdr
adrdsinr
addsinrdS r
2
Review of Vector Analysis
EEL 347251
Review of Vector Analysis
EEL 347252
Review of Vector Analysis
EEL 347253
Review of Vector Analysis
EEL 347254
Review of Vector Analysis
EEL 347255
1.
2.
3.
POINTS TO REMEMBER
Review of Vector Analysis
EEL 347256
4.
5.
6.
7.
Review of Vector Analysis

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Reviewof vectoranalysis

  • 2. EEL 34722 Review of Vector Analysis Vector analysis is a mathematical tool with which electromagnetic (EM) concepts are most conveniently expressed and best comprehended. A quantity is called a scalar if it has only magnitude (e.g., mass, temperature, electric potential, population). A quantity is called a vector if it has both magnitude and direction (e.g., velocity, force, electric field intensity). The magnitude of a vector is a scalar written as A or A A A Review of Vector Analysis
  • 3. EEL 34723 A unit vector along is defined as a vector whose magnitude is unity (that is,1) and its direction is along A A A A eA  )e( A 1 Thus Ae which completely specifies in terms of A and its direction Ae A AeAA  Review of Vector Analysis
  • 4. EEL 34724 A vector in Cartesian (or rectangular) coordinates may be represented as or where AX, Ay, and AZ are called the components of in the x, y, and z directions, respectively; , , and are unit vectors in the x, y and z directions, respectively. zzyyxx eAeAeA )A,A,A( zyx A A Review of Vector Analysis  xe  ze  ye
  • 5. EEL 34725 Suppose a certain vector is given by The magnitude or absolute value of the vector is (from the Pythagorean theorem) zyx e4e3e2V  V 385.5432V 222  V Review of Vector Analysis
  • 6. EEL 34726 The Radius Vector A point P in Cartesian coordinates may be represented by specifying (x, y, z). The radius vector (or position vector) of point P is defined as the directed distance from the origin O to P; that is, The unit vector in the direction of r is zyx ezeyexr  r r zyx ezeyex e zyx r     222 Review of Vector Analysis
  • 7. EEL 34727 Vector Algebra Two vectors and can be added together to give another vector ; that is , Vectors are added by adding their individual components. Thus, if and A B C BAC  zzyyxx eAeAeA  zzyyxx eBeBeBB  zzzyyyxxx e)BA(e)BA(e)BA(C  Review of Vector Analysis
  • 8. EEL 34728 Parallelogram Head to rule tail rule Vector subtraction is similarly carried out as zzzyyyxxx e)BA(e)BA(e)BA(D )B(ABAD   Review of Vector Analysis
  • 9. EEL 34729 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 ABBA  C)BA()CB(A  kAAk  A)kl()Al(k  BkAk)BA(k  Review of Vector Analysis
  • 10. EEL 347210 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 A ABcosABBA  BA  B AB A BA  A B B B A B Review of Vector Analysis
  • 11. EEL 347211 If and then which is obtained by multiplying and component by component ),A,A,A(A ZYX )B,B,B(B ZYX ZZYYXX BABABABA  A B ABBA  CABACBA  )(  A A  A 2  A2 eX  ex  ey  ey  eZ  ez 1  eX  ey  ey  ez  eZ  ex  0 Review of Vector Analysis
  • 12. EEL 347212 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 nAB esinABBA  B B ne ne BA Direction of and using (a) right-hand rule, (b) right-handed screw rule ne Review of Vector Analysis
  • 13. EEL 347213 If and then zyx zyx zyx BBB AAA eee BA  ),A,A,A(A ZYX )B,B,B(B ZYX zxyyxyzxxzxyzzy e)BABA(e)BABA(e)BABA(  Review of Vector Analysis
  • 14. EEL 347214 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) ABBA  ABBA  C)BA()CB(A  CABACBA  )( 0AA  )0(sin  Review of Vector Analysis
  • 15. EEL 347215 Also note that which are obtained in cyclic permutation and illustrated below. yxz xzy zyx eee eee eee    Cross product using cyclic permutation: (a) moving clockwise leads to positive results; (b) moving counterclockwise leads to negative results Review of Vector Analysis
  • 16. EEL 347216 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     Review of Vector Analysis
  • 17. EEL 347217 Review of Vector Analysis
  • 18. EEL 347218 Line Integrals A line integral of a vector field can be calculated whenever a path has been specified through the field. The line integral of the field along the path P is defined asV   2 1 P PP dlcosVdlV Review of Vector Analysis
  • 19. EEL 347219 Review of Vector Analysis
  • 20. EEL 347220 Example. The vector is given by where Vo is a constant. Find the line integral where the path P is the closed path below. It is convenient to break the path P up into the four parts P1, P2, P3 , and P4. dlVI P   V xoeVV  Review of Vector Analysis
  • 21. EEL 347221 For segment P1, Thus For segment P2, and xedxdl       o o 1 xx 0x x 0 ooooxxoxxo P xV)0x(Vdx)ee(V)edx()eV(dlV yedydl  )0e(since0)()(dl x 02     y yy y yxo P eedyeVV o Review of Vector Analysis  V Voex
  • 22. EEL 347222 For segment P3,  dl  dxex (the differential lengthdl points to the left) oo xx x xxo P xV-)edx()eV(dlV o    03 0 4  dlV P field)ive(conservat00xV0xVI oooo P P PP 2 3 41     Review of Vector Analysis
  • 23. EEL 347223 Example. Let the vector field be given by . Find the line integral of over the semicircular path shown below xoeVV  V V Consider the contribution of the path segment located at the angle   dl  dl cosex  dl siney Since    - 90 cos  cos( - 90)  sin sin  sin( - 90)  cos dl  dl sinex  dl cosey  ad dl { (sinex  cosey ) Review of Vector Analysis
  • 25. EEL 347225 Surface Integrals Surface integration amounts to adding up normal components of a vector field over a given surface S. We break the surface S into small surface elements and assign to each element a vector is equal to the area of the surface element is the unit vector normal (perpendicular) to the surface element nedsds  ne ds The flux of a vector field A through surface S Review of Vector Analysis
  • 26. EEL 347226 (If S is a closed surface, is by convention directed outward) Then we take the dot product of the vector field at the position of the surface element with vector . The result is a differential scalar. The sum of these scalars over all the surface elements is the surface integral. is the component of in the direction of (normal to the surface). Therefore, the surface integral can be viewed as the flow (or flux) of the vector field through the surface S (the net outward flux in the case of a closed surface). ds ds ds V cosV   SS cosdsVdsV V Review of Vector Analysis
  • 27. EEL 347227 Example. Let be the radius vector The surface S is defined by The normal to the surface is directed in the +z direction Find V dyd dxd cz      S dsV zyx ezeyexV  Review of Vector Analysis
  • 28. EEL 347228 V is not perpendicular to S, except at one point on the Z axis Surface S Review of Vector Analysis
  • 30. EEL 347230 Introduction to Differential Operators An operator acts on a vector field at a point to produce some function of the vector field. It is like a function of a function. If O is an operator acting on a function f(x) of the single variable X , the result is written O[f(x)]; and means that first f acts on X and then O acts on f. Example. f(x) = x2 and the operator O is (d/dx+2) O[f(x)]=d/dx(x2 ) + 2(x2 ) = 2x +2(x2 ) = 2x(1+x) Review of Vector Analysis
  • 31. EEL 347231 An operator acting on a vector field can produce either a scalar or a vector. Example. (the length operator), Evaluate at the point x=1, y=2, z=-2 Thus, O is a scalar operator acting on a vector field. Example. , , x=1, y=2, z=-2 Thus, O is a vector operator acting on a vector field. )]z,y,x(V[O  O(A)  A A yx ezey3V  )V(O scalar32.640zy9VV)V(O 22  A2AAA)A(O  yx ezey3V  vectore65.16e49.95 e4e1240)e2e(6 ez2ey6zy9)ezey3()V(O yx yxyx yx 22 yx    Review of Vector Analysis
  • 32. EEL 347232 Vector fields are often specified in terms of their rectangular components: where , , and are three scalar features functions of position. Operators can then be specified in terms of , , and . The divergence operator is defined as zzyyxx e)z,y,x(Ve)x,y,x(Ve)z,y,x(V)z,y,x(V  xV yV zV zyx V z V y V x V          xV yV zV Review of Vector Analysis
  • 33. EEL 347233 Example . Evaluate at the point x=1, y=-1, z=2. zyx 2 e)x2(eyexV  V 0V z 1V y x2V x x2VyVxV zyx zy 2 x           31x2V  Clearly the divergence operator is a scalar operator. Review of Vector Analysis
  • 34. EEL 347234 1. - gradient, acts on a scalar to produce a vector 2. - divergence, acts on a vector to produce a scalar 3. - curl, acts on a vector to produce a vector 4. -Laplacian, acts on a scalar to produce a scalar Each of these will be defined in detail in the subsequent sections. V V V V2  Review of Vector Analysis
  • 35. EEL 347235 Coordinate Systems 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). Review of Vector Analysis
  • 36. EEL 347236 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 zzyyxxzyx eAeAeAor)A,A,A(  A Constant x, y and z surfaces Review of Vector Analysis
  • 37. EEL 347237 zyx edzedyedxdl  Differential elements in the right handed Cartesian coordinate system dxdydzd  Review of Vector Analysis
  • 39. EEL 347239 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 in cylindrical coordinates can be written as Cylindrical coordinates amount to a combination of rectangular coordinates and polar coordinates. )z,,(     z 20 0 2/12 z 22 zzz )AAA(A eAeAeAor)AA,A(     Review of Vector Analysis
  • 40. EEL 347240 Positions in the x-y plane are determined by the values of Relationship between (x,y,z) and )z,,(   and zz x y tanyx 122   Review of Vector Analysis
  • 42. EEL 347242 zand, semi-infinite plane with its edge along the z - axis Constant surfaces Review of Vector Analysis
  • 43. EEL 347243 Differential elements in cylindrical coordinates Metric coefficient zp adzadaddl   dzdddv  Review of Vector Analysis
  • 44. EEL 347244 Planar surface ( = const) Cylindrical surface ( =const)  dS  ddza ddza ddaz Planar surface ( z =const) Review of Vector Analysis  
  • 45. EEL 347245 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(  Review of Vector Analysis  0  r   0     Colatitude (polar angle) 1 24 34 0    2
  • 47. EEL 347247    cosrz sinsinry cossinrx 22 11- 22 1222 yx x cos x y tan z yx tanzyxr      r z cos z tan 11     Relationships between space variables )z,,(and),,,r(),z,y,x(  Review of Vector Analysis
  • 48. EEL 347248  and,,rConstant surfaces Review of Vector Analysis
  • 49. EEL 347249 Differential elements in the spherical coordinate system   adsinrardadrdl r  ddrdsinrdv 2 Review of Vector Analysis
  • 51. EEL 347251 Review of Vector Analysis
  • 52. EEL 347252 Review of Vector Analysis
  • 53. EEL 347253 Review of Vector Analysis
  • 54. EEL 347254 Review of Vector Analysis
  • 55. EEL 347255 1. 2. 3. POINTS TO REMEMBER Review of Vector Analysis