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An in-depth explanation of the Cartesian Coordinate System used in Electromagnetism. It covers the concept of coordinate systems, orthogonal coordinate systems, and the specific use of the Cartesian system. The document also explains how to choose a suitable coordinate system and how to express vectors in terms of unit vectors using dot and cross products.
Typology: Lecture notes
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Assist. Prof. Dr.
Özlem Özgün
Office
:^
S-
Phone
:^
661 2972
:^
ozozgun@metu.edu.tr
Web
:^
http://www.metu.edu.tr/~ozozgun/
2
4
How do we choose a suitable coordinate system?
5
Cartesian Coordinates Cylindrical Coordinates Spherical Coordinates
P (x, y, z)^ P (R,
θ
,^ φ
)
P (r,
φ
, z)
x
y
z
P(x,y,z) Φ z
r
x^
y
z
P(r,
Φ
, z)
θ Φ
R z
y
x
P(R,
θ
,^ Φ )
Useful in problemshaving cylindricalsymmetry Useful in problemshaving sphericalsymmetry Useful in problemshaving rectangularsymmetry
r
Alternative notation:
ρ
is used for r.
Alternative notation: r is used for R.
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8
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You said earlier that vector quantities (either discreteor field)
have both
magnitude
and
direction.
But how do we specify direction
in 3-D space?
Do we use
coordinate values
(e.g., x, y,
z )??
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It is very important that youunderstand that
coordinates
only allow us to specifyposition
in 3-D
space.
They cannot be
used to
specify direction! The most convenient way tospecify the direction
of a
vector quantity is by using awell-defined orthonormal
set
of
vectors known as base (unit)
vectors.
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Properties:
1. Each vector is a unit
vector:
⋅^
=
⋅^
=
⋅^
=
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
0
x^
y^
x^
z^
y^
z
a
a
a
a
a
a
⋅^
=
⋅^
=
⋅^
=
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
1
x^
x^
y^
y^
z^
z
a
a
a
a
a
a
2. Vectors are
mutually orthogonal:
(magnitude)
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Properties: (cont..)
3. Unit vectors must be arranged such that:
×
=
×
=
×
=
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
ˆ
x^
y^
z
y^
z^
x
z^
x^
y
a
a
a
a
a
a
a
a
a
An orthonormal
set with this property
is known as a
right-handed
system.
Cyclic relation
All base vectors must form a right-handed orthonormal set.
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Any vector
can be expressed
in terms of the unit vectors.
=
ˆ
ˆ
ˆ
x^
x
y^
y^
z^
z
A
A a
A a
A a
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How to determine the scalar components A
, Ax
, Ay
z^
But, since the unit vectors are
orthogonal,
we know that:
=
⋅
=
⋅
=
⋅
ˆ ˆ ˆ
x
x
y
y
z
z
A
A
a
A
A
a
A
A
a
Similarly,
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Expressing a vector in termsof 3 base vectors
makes life
easier. The
evaluation of vector operations (such as addition, subtraction, multiplication, dotproduct, and cross
product)
all
become straightforward if all vectors are
expressed
using the same set of base vectors.
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How can we find:
A
B
A
B
A
B A
B
etc