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ELEMAGS
MODULE 2
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Cards (50)
Rectangular
Coordinate System
A
point
is represented as (
x, y
) for
2D
or (
x, y, z
) for
3D
Cylindrical
Coordinate System
A
point
is represented as (
ρ, φ, z
)
Spherical
Coordinate System
A
point
is represented as (
r, θ, φ
)
Constant-Coordinate
Surfaces
Surfaces where
one
coordinate is
constant
Coordinate
System
A system composed of
numbers
, or coordinates, to determine the
position
of a
point
in space
Types
of Coordinate System
Orthogonal
(
perpendicular
axes)
Non-orthogonal
(non-perpendicular,
oblique
,
skewed axes
)
Orthogonal Coordinate
System
Examples: Cartesian/Rectangular, Cylindrical, Spherical,
Parabolic
,
Elliptical
, and others
Why
use different coordinate systems
Ease of
representation
and
computation
Coordinate
systems used in this course
Cartesian
(Rectangular)
Cylindrical
Spherical
Representing vectors in RCS then in CCS or CSC
Using
relationships
between points and
unit
vectors
Rectangular
Coordinate System (RCS)
Also known as
Cartesian
coordinate system. A point is represented as (
x,
y,
z
)
Coordinate ranges in RCS: -∞ < x < ∞, -∞ < y < ∞, -∞ < z < ∞
Vector in
RCS
Ā =
Axax
+
Ayay
+
Azaz
Magnitude
of
vector
in
RCS
:
|Ā
| =
√(Ax^2 + Ay^2 + Az^2)
Point
Defined with
three
values, referring to its
intersection
with the
axes
Line
Defined with
two
values
Plane
Defined with a
single
value
The intersection of
two planes
is a
line.
The intersection of all
three planes
is a
point.
Differential
Surface
Elements in RCS
Top and Bottom:
dx
dy
, Left and Right:
dx
dz
, Front and Back:
dy dz
Differential
Volume
Element in RCS
dx
dy dz
Cylindrical
Coordinate System (
CCS
)
A
point
is represented as (
ρ, φ, z
)
Coordinate ranges in CCS: 0 ≤ ρ < ∞, 0 ≤ φ < 2π, -∞ < z < ∞
Vector in
CCS
Ā =
Aρaρ
+
Aφaφ
+
Azaz
Magnitude of vector in CCS: |Ā| =
√(Aρ^2 + Aφ^2 + Az^2)
Differential Surface Elements in CCS
ρ
dφ dz
, ρ dρ dz,
dρ
dφ
Differential Volume Element in CCS
ρ dρ
dφ dz
Dot Product in CCS
Dot product of
same
unit vectors is
1
, dot product of orthogonal unit vectors is 0
Cross
Product in CCS
Each unit vector is
perpendicular
to each other because
CCS is orthogonal
Deriving dot products of RCS and CCS unit vectors
Using vector
projections
and the
azimuthal
angle
Finding
rectangular unit vectors expressed in cylindrical unit vectors
And finding cylindrical unit vectors expressed in
rectangular
unit vectors
The colatitude
and azimuthal angle must be given to be able to convert unit vectors from
CCS
to RCS
How
to get a vector from RCS to CCS
1. Project vector A into the unit vectors 𝒂𝝆, 𝒂𝝓, 𝒂𝒏𝒅 𝒂𝒛
2. Simplify to get the
scalar
components of the vector in CCS
How
to get a vector from CCS to RCS
1. Project vector
A
into the unit vectors 𝒂𝒙, 𝒂𝒚, 𝒂𝒏𝒅 𝒂𝒛
2. Simplify to get the scalar components of the vector in
RCS
Spherical Coordinate System
(
SCS
)
Convenient when dealing with problems having
spherical symmetry
A
point
in SCS is represented as (𝑟, 𝜃, 𝜙) sin
ce
3D
Coordinate ranges:
0 ≤
𝑟 < ∞, 0 ≤ 𝜃 < �
�
, 0 < 𝜙 < 2𝜋
Vector A in SCS
𝑨 =
𝑨�
�𝒂
𝒓 +
𝑨𝜽𝒂𝜽 + 𝑨𝝓𝒂𝝓
�
� =
√𝑨�
� 𝟐 + 𝑨𝜽 𝟐 + 𝑨𝝓 𝟐
Differential
surface and volume elements for
spherical coordinate system
Dot
product of unit vectors in SCS
Dot product of
same
unit vectors is equal to
1
Dot product of orthogonal unit vectors is equal to
0
Cross product of unit vectors in SCS
Each unit vector is
perpendicular
to each other because the
spherical coordinate system
is orthogonal
Derivations of dot products of RCS and
SCS
unit vectors are done using vector
projections
Derivations
are done using
vector
projections
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