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Periodic Functions and
Fourier Series
University of Technology
Materials Engineering Dept.
Numerical and Engineering Analysis
By
Dr. Kadhum Muttar
• What is Fourier Series?
– Representation of a periodic function with a weighted, infinite
sum of sinusoids.
• Why Fourier Series?
– Any arbitrary periodic signal, can be approximated by using
some of the computed weights
– These weights are generally easier to manipulate and
analyze than the original signal
• What is a periodic Function?
– A function which remains unchanged when time-shifted by
one period
f(t) = f(t + T) or f(t) = f(t + 2p)
Where T is the period of periodic function (T = 2p)
0
θ
T
f θ
( )
0
θ
T
f θ
( )
0
θ
T
f θ
( )
Fourier Series
( )
t
f
If is a periodic function with period p
2
The function can be represented by a trigonometric
series as:
( ) )
1
(
sin
cos
2 1
1
0
∑
∑
∞
=
∞
=
+
+
=
n
n
n
n
p
t
n
b
p
t
n
a
a
t
f
π
π
We want to determine the coefficients,
n
a and n
b .
Let us first remember some useful integrations.
0
=
θ
θ
θ
∫
π
π
−
d
m
n cos
cos m
n ≠
π
=
θ
θ
θ
∫
π
π
−
d
m
n cos
cos m
n =
0
=
θ
θ
θ
∫
π
π
−
d
m
n cos
sin
for all values of m.
0
=
θ
θ
θ
∫
π
π
−
d
m
n sin
sin m
n ≠
π
=
θ
θ
θ
∫
π
π
−
d
m
n sin
sin m
n =
Determination of a0
Integrate both sides of Eq. (1)
( ) dt
p
t
n
b
p
t
n
a
a
dt
t
f
p
d
d
n
n
n
n
p
d
d ∫ ∑
∑
∫
+ ∞
=
∞
=
+






+
+
=
2
1
1
0
2
sin
cos
2
π
π
( ) 0
0
2
1 2
0
2
+
+
= ∫
∫
+
+
dt
a
dt
t
f
p
d
d
p
d
d
( )dt
t
f
p
a
p
d
d
∫
+
=
2
0
1
Determine n
a
Multiply Eq.(1) by
p
t
nπ
cos
and then integrate both sides from d to d+2p
( )
dt
p
t
n
p
t
n
b
p
t
n
a
a
dt
p
t
n
t
f
p
d
d
n
n
n
n
p
d
d
∫ ∑
∑
∫
+ ∞
=
∞
=
+






+
+
=
2
1
1
0
2
cos
sin
cos
2
cos
π
π
π
π
( ) dt
p
t
n
t
f
p
a
p
d
d
n
π
cos
1 2
∫
+
=
Determine n
b
Multiply Eq.(1) by
p
t
nπ
sin
and then Integrate both sides from d to d+2p
( )
dt
p
t
n
p
t
n
b
p
t
n
a
a
dt
p
t
n
t
f
p
d
d
n
n
n
n
p
d
d
∫ ∑
∑
∫
+ ∞
=
∞
=
+






+
+
=
2
1
1
0
2
sin
sin
cos
2
sin
π
π
π
π
( ) dt
p
t
n
t
f
p
b
p
d
d
n
π
sin
1 2
∫
+
=

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engineering and numerical analyses 6.pdf

  • 1. Periodic Functions and Fourier Series University of Technology Materials Engineering Dept. Numerical and Engineering Analysis By Dr. Kadhum Muttar
  • 2. • What is Fourier Series? – Representation of a periodic function with a weighted, infinite sum of sinusoids. • Why Fourier Series? – Any arbitrary periodic signal, can be approximated by using some of the computed weights – These weights are generally easier to manipulate and analyze than the original signal • What is a periodic Function? – A function which remains unchanged when time-shifted by one period f(t) = f(t + T) or f(t) = f(t + 2p) Where T is the period of periodic function (T = 2p)
  • 5. Fourier Series ( ) t f If is a periodic function with period p 2 The function can be represented by a trigonometric series as: ( ) ) 1 ( sin cos 2 1 1 0 ∑ ∑ ∞ = ∞ = + + = n n n n p t n b p t n a a t f π π
  • 6. We want to determine the coefficients, n a and n b . Let us first remember some useful integrations. 0 = θ θ θ ∫ π π − d m n cos cos m n ≠ π = θ θ θ ∫ π π − d m n cos cos m n =
  • 7. 0 = θ θ θ ∫ π π − d m n cos sin for all values of m. 0 = θ θ θ ∫ π π − d m n sin sin m n ≠ π = θ θ θ ∫ π π − d m n sin sin m n =
  • 8. Determination of a0 Integrate both sides of Eq. (1) ( ) dt p t n b p t n a a dt t f p d d n n n n p d d ∫ ∑ ∑ ∫ + ∞ = ∞ = +       + + = 2 1 1 0 2 sin cos 2 π π ( ) 0 0 2 1 2 0 2 + + = ∫ ∫ + + dt a dt t f p d d p d d ( )dt t f p a p d d ∫ + = 2 0 1
  • 9. Determine n a Multiply Eq.(1) by p t nπ cos and then integrate both sides from d to d+2p ( ) dt p t n p t n b p t n a a dt p t n t f p d d n n n n p d d ∫ ∑ ∑ ∫ + ∞ = ∞ = +       + + = 2 1 1 0 2 cos sin cos 2 cos π π π π ( ) dt p t n t f p a p d d n π cos 1 2 ∫ + =
  • 10. Determine n b Multiply Eq.(1) by p t nπ sin and then Integrate both sides from d to d+2p ( ) dt p t n p t n b p t n a a dt p t n t f p d d n n n n p d d ∫ ∑ ∑ ∫ + ∞ = ∞ = +       + + = 2 1 1 0 2 sin sin cos 2 sin π π π π ( ) dt p t n t f p b p d d n π sin 1 2 ∫ + =