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