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Fourier Series
Periodic Functions
 
   
x
f
T
x
f
that
such
T
number
positive
some
is
there
if
and
x
real
for
defined
is
it
if
periodic
is
x
f
function
A


,
0

T
f 
 
x
 
x
f
0

T
f 
 
x
 
x
f
0

T
f 
 
x
 
x
f
Example
Fourier Series-(-l<x<l)
  




















1
1
0 sin
cos
2
1
n
n
n
n
l
x
n
b
l
x
n
a
a
x
f


 
:
,
2
as
series
ric
trigonomet
by
d
represente
be
can
function
The
l
period
with
function
periodic
a
be
x
f
 dx
x
f
l
a
l
l


1
0
  
,
2
,
1
cos
1







 
m
dx
l
x
n
x
f
l
a
l
l
n

  
,
2
,
1
sin
1







 
n
dx
l
x
n
x
f
l
b
l
l
n

We can determine the coefficients of FS by using,
Fourier Series-Fourier Coefficient
Fourier Series-(- π< x <π)
 
:
,
2
as
series
ric
trigonomet
by
d
represente
be
can
function
The
period
with
function
periodic
a
be
x
f 
     









1
1
0 sin
cos
2
1
n
n
n
n nx
b
nx
a
a
x
f
 dx
x
f
a 




1
0
    
,
2
,
1
cos
1

 
m
dx
nx
x
f
an



    
,
2
,
1
sin
1

 
n
dx
nx
x
f
bn



We can determine the coefficients of FS by using,
Fourier Series-Fourier Coefficient
Even and Odd Functions
(We are not talking about even or
odd numbers.)
Fourier Series
The value of the
function would
be the same
when we walk
equal distances
along the X-axis
in opposite
directions.
   
x
f
x
f 

Mathematically speaking -

f(
x
 
x
f
Fourier Series-Even Function
Even Functions-example 1
 
  





























1
0
2
1
1
2
1
1
3
1
1
2
2
3
2
3
1
3
1
3
1
1
dx
x
dx
x
x
f
OR
x
x
dx
x
x
f
1

1
1
x
 
x
f
The value of the
function would
change its sign
but with the
same magnitude
when we walk
equal distances
along the X-axis
in opposite
directions.
   
x
f
x
f 


Mathematically speaking -

f(
x
 
x
f
Fourier Series-Odd Function
Odd Functions- example 2
 
0
2
1
2
1
2
1
1
1
1
2
1
1

















x
x
xdx
x
f
1

1

1
1
x
 
x
f
Even functions can solely be represented
by cosine waves because, cosine waves
are even functions. A sum of even
functions is another even function.
10 0 10
5
0
5

Odd functions can solely be represented by
sine waves because, sine waves are odd
functions. A sum of odd functions is another
odd function.
10 0 10
5
0
5

The Fourier series of an even function  
x
f
is expressed in terms of a cosine series.
  )
0
(
,
cos
2
1
1
0 

 


n
n
n b
l
x
n
a
a
x
f

The Fourier series of an odd function  
x
f
is expressed in terms of a sine series.
  )
0
,
0
(
,
sin 0
1


 


n
n
n a
a
l
x
n
b
x
f

Fourier Series-Odd & Even Function
Find the Fourier series of the following
periodic function.
   
x
f
x
f 
 
2
x
f(x)
  3 5 7 9
0
  
 


 x
when
x
x
f 2
Fourier Series
 
3
2
3
1
1
1
2
3
2
0
























 

x
x
x
dx
x
dx
x
f
a
 




















nxdx
x
nxdx
x
dx
nx
x
f
an
cos
2
cos
1
cos
1
0
2
2








3
2
2
sin
0
cos
2
sin
2
cos
n
nx
n
nx
n
nx
x
nx
x






method
tabular
By
 
 
.....)
6
,
4
,
2
(
4
.....)
5
,
3
,
1
(
4
)
1
(
4
cos
4
0
cos
2
0
2
0
2
sin
2
cos
2
sin
2
sin
2
cos
2
sin
2
2
2
2
2
2
3
2
2
0
3
2
2
even
is
n
when
n
a
and
odd
is
n
when
n
a
n
n
n
n
n
n
n
n
n
n
n
n
nx
n
nx
x
n
nx
x
a
n
n
n
n





























































This is an even function.
Therefore, 0

n
b
The corresponding Fourier series is
     
 





































2
2
2
2
1
2
2
1
1
2
2
4
4
cos
3
3
cos
2
2
cos
cos
4
3
cos
)
1
(
4
3
sin
)
0
(
cos
)
1
(
4
3
2
2
1
x
x
x
x
nx
n
nx
nx
n
x
f
n
n
n
n
n



     









1
1
0 sin
cos
2
1
n
n
n
n nx
b
nx
a
a
x
f
Find the Fourier series of the following
periodic function.
 



2
0







x
when
A
x
when
A
x
f
   
x
f
x
f 
 
2
0

f 
 
 2 3 4 5
A
-A
x
 
x
f
 dx
x
f
a 



2
0
0
1
    




 
 
 dx
x
f
dx
x
f




2
0
1
0
1 2
0






 

 
 dx
A
dx
A




  dx
nx
x
f
an cos
1 2
0




0
sin
1
sin
1
2
0




















 n
nx
A
n
nx
A
  




 

 
 dx
nx
A
dx
nx
A cos
cos
1 2
0




  dx
nx
x
f
bn sin
1 2
0




  




 

 
 dx
nx
A
dx
nx
A sin
sin
1 2
0









2
0
cos
1
cos
1















n
nx
A
n
nx
A
 




n
n
n
n
A
cos
2
cos
0
cos
cos 




 
 
odd
is
n
when
4
1
1
1
1
cos
2
cos
0
cos
cos






n
A
n
A
n
n
n
n
A
bn










 
 
even
is
n
when
0
1
1
1
1
cos
2
cos
0
cos
cos
















n
A
n
n
n
n
A
bn
Therefore, the corresponding Fourier series is
In writing the Fourier series we may not be
able to consider infinite number of terms for
practical reasons. The question therefore, is
– how many terms to consider?
     









1
1
0 sin
cos
2
1
n
n
n
n nx
b
nx
a
a
x
f
   




1
sin
4
n
nx
n
A
x
f

  









 





7
sin
7
1
5
sin
5
1
3
sin
3
1
sin
4A
x
f
When we consider 4 terms as shown in the
previous slide, the function looks like the
following.
1.5
1
0.5
0
0.5
1
1.5
f 
( )

x
 
x
f
When we consider 6 terms, the function looks
like the following.
1.5
1
0.5
0
0.5
1
1.5
f 
( )

x
 
x
f
When we consider 8 terms, the function looks
like the following.
1.5
1
0.5
0
0.5
1
1.5
f 
( )

x
 
x
f
When we consider 12 terms, the function looks
like the following.
1.5
1
0.5
0
0.5
1
1.5
f 
( )

x
 
x
f
The red curve was drawn with 12 terms and
the blue curve was drawn with 4 terms.
1.5
1
0.5
0
0.5
1
1.5

x
 
x
f
The red curve was drawn with 12 terms and
the blue curve was drawn with 4 terms.
0 2 4 6 8 10
1.5
1
0.5
0
0.5
1
1.5

x
 
x
f
The red curve was drawn with 20 terms and
the blue curve was drawn with 4 terms.
0 2 4 6 8 10
1.5
1
0.5
0
0.5
1
1.5

x
 
x
f
Chapter 4 Fourier Series.pptx

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Chapter 4 Fourier Series.pptx

  • 2. Periodic Functions       x f T x f that such T number positive some is there if and x real for defined is it if periodic is x f function A   ,
  • 6.
  • 7.
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  • 11.
  • 12. Fourier Series-(-l<x<l)                        1 1 0 sin cos 2 1 n n n n l x n b l x n a a x f     : , 2 as series ric trigonomet by d represente be can function The l period with function periodic a be x f
  • 13.  dx x f l a l l   1 0    , 2 , 1 cos 1          m dx l x n x f l a l l n     , 2 , 1 sin 1          n dx l x n x f l b l l n  We can determine the coefficients of FS by using, Fourier Series-Fourier Coefficient
  • 14. Fourier Series-(- π< x <π)   : , 2 as series ric trigonomet by d represente be can function The period with function periodic a be x f                 1 1 0 sin cos 2 1 n n n n nx b nx a a x f
  • 15.  dx x f a      1 0      , 2 , 1 cos 1    m dx nx x f an         , 2 , 1 sin 1    n dx nx x f bn    We can determine the coefficients of FS by using, Fourier Series-Fourier Coefficient
  • 16. Even and Odd Functions (We are not talking about even or odd numbers.) Fourier Series
  • 17.
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  • 24.
  • 25. The value of the function would be the same when we walk equal distances along the X-axis in opposite directions.     x f x f   Mathematically speaking -  f( x   x f Fourier Series-Even Function
  • 26. Even Functions-example 1                                   1 0 2 1 1 2 1 1 3 1 1 2 2 3 2 3 1 3 1 3 1 1 dx x dx x x f OR x x dx x x f 1  1 1 x   x f
  • 27. The value of the function would change its sign but with the same magnitude when we walk equal distances along the X-axis in opposite directions.     x f x f    Mathematically speaking -  f( x   x f Fourier Series-Odd Function
  • 28. Odd Functions- example 2   0 2 1 2 1 2 1 1 1 1 2 1 1                  x x xdx x f 1  1  1 1 x   x f
  • 29. Even functions can solely be represented by cosine waves because, cosine waves are even functions. A sum of even functions is another even function. 10 0 10 5 0 5 
  • 30. Odd functions can solely be represented by sine waves because, sine waves are odd functions. A sum of odd functions is another odd function. 10 0 10 5 0 5 
  • 31.
  • 32. The Fourier series of an even function   x f is expressed in terms of a cosine series.   ) 0 ( , cos 2 1 1 0       n n n b l x n a a x f  The Fourier series of an odd function   x f is expressed in terms of a sine series.   ) 0 , 0 ( , sin 0 1       n n n a a l x n b x f  Fourier Series-Odd & Even Function
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39. Find the Fourier series of the following periodic function.     x f x f    2 x f(x)   3 5 7 9 0         x when x x f 2 Fourier Series
  • 40.   3 2 3 1 1 1 2 3 2 0                            x x x dx x dx x f a                       nxdx x nxdx x dx nx x f an cos 2 cos 1 cos 1 0 2 2         3 2 2 sin 0 cos 2 sin 2 cos n nx n nx n nx x nx x       method tabular By
  • 42. This is an even function. Therefore, 0  n b The corresponding Fourier series is                                              2 2 2 2 1 2 2 1 1 2 2 4 4 cos 3 3 cos 2 2 cos cos 4 3 cos ) 1 ( 4 3 sin ) 0 ( cos ) 1 ( 4 3 2 2 1 x x x x nx n nx nx n x f n n n n n                   1 1 0 sin cos 2 1 n n n n nx b nx a a x f
  • 43. Find the Fourier series of the following periodic function.      2 0        x when A x when A x f     x f x f    2 0  f     2 3 4 5 A -A x   x f
  • 44.  dx x f a     2 0 0 1               dx x f dx x f     2 0 1 0 1 2 0             dx A dx A       dx nx x f an cos 1 2 0     0 sin 1 sin 1 2 0                      n nx A n nx A              dx nx A dx nx A cos cos 1 2 0    
  • 45.   dx nx x f bn sin 1 2 0                  dx nx A dx nx A sin sin 1 2 0          2 0 cos 1 cos 1                n nx A n nx A       n n n n A cos 2 cos 0 cos cos     
  • 46.     odd is n when 4 1 1 1 1 cos 2 cos 0 cos cos       n A n A n n n n A bn               even is n when 0 1 1 1 1 cos 2 cos 0 cos cos                 n A n n n n A bn
  • 47. Therefore, the corresponding Fourier series is In writing the Fourier series we may not be able to consider infinite number of terms for practical reasons. The question therefore, is – how many terms to consider?                1 1 0 sin cos 2 1 n n n n nx b nx a a x f         1 sin 4 n nx n A x f                     7 sin 7 1 5 sin 5 1 3 sin 3 1 sin 4A x f
  • 48. When we consider 4 terms as shown in the previous slide, the function looks like the following. 1.5 1 0.5 0 0.5 1 1.5 f  ( )  x   x f
  • 49. When we consider 6 terms, the function looks like the following. 1.5 1 0.5 0 0.5 1 1.5 f  ( )  x   x f
  • 50. When we consider 8 terms, the function looks like the following. 1.5 1 0.5 0 0.5 1 1.5 f  ( )  x   x f
  • 51. When we consider 12 terms, the function looks like the following. 1.5 1 0.5 0 0.5 1 1.5 f  ( )  x   x f
  • 52. The red curve was drawn with 12 terms and the blue curve was drawn with 4 terms. 1.5 1 0.5 0 0.5 1 1.5  x   x f
  • 53. The red curve was drawn with 12 terms and the blue curve was drawn with 4 terms. 0 2 4 6 8 10 1.5 1 0.5 0 0.5 1 1.5  x   x f
  • 54. The red curve was drawn with 20 terms and the blue curve was drawn with 4 terms. 0 2 4 6 8 10 1.5 1 0.5 0 0.5 1 1.5  x   x f