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Fourier series Research, Essays (university) of Calculus for Engineers

Calculus 3 Fourier Research Study

Typology: Essays (university)

2019/2020

Uploaded on 04/30/2020

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Fourier Series Research
By Ali Albaghdadi Id: 20180007205
History of Fourier Research:
Fourier series have made a huge impact on applied mathematics and theoretical. Fourier series
are the sum of the orthonormal families which can approximate periodic, complex valued
functions with arbitrary precision. There is a quite good number of methods for estimating
complex numbers, but Fourier series are especially stand out because uniform convergence of the
Fourier series. Furthermore, Fourier coefficients are made to minimize the error from the actual
function. In mid eighteenth century, physical problems such as the conduction of patterns of heat
and the study of oscillations and vibrations led to the study of Fourier series. The major issue that
was faced is how arbitrary real valued functions could be presented by sum of simpler functions.
Fourier series is an infinite sum of trigonometric functions that are used to model real live valued
periodic functions. It has been used in signal processing and digital image processing for the
analysis of a single image as a 2-D wave form, and many other types of similar quantum
mechanics. Not only that but it also represents filter transformation, representation and encoding
and much more.
The Fourier breaks a function of time or signal into frequencies that makes in a way to how a
musical chart can be broken into nodes and represented as pitches. It is also called the frequency
domain representation of the original notes. Let S(x) be a periodic function with period [
π,π¿
a
n
=1
T
π
π
S
(
x
)
cos
(
2πxn
2T
)
dx , n 0
pf3
pf4

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Fourier Series Research

By Ali Albaghdadi Id: 20180007205

History of Fourier Research:

Fourier series have made a huge impact on applied mathematics and theoretical. Fourier series

are the sum of the orthonormal families which can approximate periodic, complex valued

functions with arbitrary precision. There is a quite good number of methods for estimating

complex numbers, but Fourier series are especially stand out because uniform convergence of the

Fourier series. Furthermore, Fourier coefficients are made to minimize the error from the actual

function. In mid eighteenth century, physical problems such as the conduction of patterns of heat

and the study of oscillations and vibrations led to the study of Fourier series. The major issue that

was faced is how arbitrary real valued functions could be presented by sum of simpler functions.

Fourier series is an infinite sum of trigonometric functions that are used to model real live valued

periodic functions. It has been used in signal processing and digital image processing for the

analysis of a single image as a 2-D wave form, and many other types of similar quantum

mechanics. Not only that but it also represents filter transformation, representation and encoding

and much more.

The Fourier breaks a function of time or signal into frequencies that makes in a way to how a

musical chart can be broken into nodes and represented as pitches. It is also called the frequency

domain representation of the original notes. Let S(x) be a periodic function with period [−π , π ¿

a

n

T

−π

π

S ( x ) cos

(

πx∗n

2 T

)

dx , n ≥ 0

b

n

T

−π

π

S ( x ) sin ( 2 ¿

πx∗n

2 T

)dx , n ≥ 0 ¿

S ( x )=a

0

n= 1

(

a

n

cos

nπx

L

+b

n

sin

nπx

L

)

Leading to the formula we been using which is: ↓

S ( x )=

n= 0

( a

n

cos( nx)+b

n

sin(nx))

There are 4 types of Fourier:

1)A periodic continuous signal with a periodic spectrum.

  1. Discrete a periodic spectrum and a periodic continuous signal.

3)Continuous periodic spectrum and periodic discrete signal.

  1. periodic discrete signal and discrete periodic spectrum.

Application of Fourier Series:

Fourier series simplify the analysis of periodic, real valued functions, specifically, it can break

up a periodic function into an infinite series of sine and cosines waves. This property makes

Fourier series very helpful in many applications. Consider the common differential equation:

f

t

=x

' '

t

+a x

'

t

  • b

Math Example of Fourier Series: for a sawtooth wave

S ( x )=

x

π

, for−π ≤ x <π

S ( x+ 2 π k )=S ( x ) , for−π < x< x∧k € Ẕ

a

n

π

−π

π

S ( x ) cos ( nx) dx=0.n ≥ 0

b

n

π

−π

π

S ( x ) sin (nx)d x

π n

cos ( n π ) +

π

2

n

2

sin ( n π )

n + 1

π n

, n ≥ 1

Wherever S is differentiable then we can notice that Fourier series converges to S(x) thus:

S ( x )=a

0

n= 1

a

n

cos (nx )+ b

n

sin(nx )

π

n= 1

n + 1

n

sin ( nx )

, for 2 π Ẕ

When x=

π the Fourier series converges to 0, which is half sum of the left and right limit of S at

x=π