Fourier series: Difference between revisions

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*[[Signals and systems|Signals and Systems]]
==Diriclet Conditions==
==Introduction==
----
Born in Auxerre, France in 1768, Jean Baptiste Joseph Fourier was orphaned at the age of eight. Later he was instructed by Benedictine monks who taught at and ran a military college.


Years later (1822) Fourier's genius became evident when he discovered that he could represent a periodic function as a sum of sinusoids. It may be interesting to note that what has come to be known as the Fourier series was invented while Fourier was studying heat flow.
The conditions for a periodic function <math>f</math> with period 2L to have a convergent Fourier series.


Even though Fourier had discovered a powerful tool, his peers were slow in accepting it. This may be because he provided to rigorous proof to show that his series was an accurate representation of a periodic function. Later, P.G.L. Dirichlet was able to present an acceptable proof.
=====''Theorem:''=====


<small>Information used in the introduction has been adapted from <u>Linear Circuit Analysis</u> by DeCarlo & Lin and <u>Fundamentals of Electric Circuits</u> by Alexander and Sadiku.</small>

==Periodic Functions==
A continuous time signal <math>x(t)</math> is said to be periodic if there is a positive nonzero value of T such that
<center>
<math> s(t + T) = s(t)</math> for all <math>t</math>
</center>
==Dirichlet Conditions==
The conditions for a periodic function <math>f</math> with period 2L to have a convergent Fourier series are as follows:

===''Theorem:''===


Let <math>f</math> be a piecewise regular real-valued function defined on some interval [-L,L], such that <math>f</math> has
Let <math>f</math> be a piecewise regular real-valued function defined on some interval [-L,L], such that <math>f</math> has
Line 10: Line 24:


==The Fourier Series==
==The Fourier Series==
A Fourier series is an expansion of a periodic function <math>f</math> in terms of an infinite sum of sines and cosines. Fourier series make use of the orthogonality relationships of the sine and cosine functions. One way to represent a Fourier series is
----
<center>
A Fourier series is an expansion of a periodic function f(x) in terms of an infinite sum of sines and cosines. Fourier series make use of the orthogonality (see [[Orthogonal Functions]]) relationships of the sine and cosine functions.
<math> f(t) = \sum_{k= -\infty}^ \infty \alpha_k e^ \frac{j 2 \pi k t}{T} </math>.
</center>


==See Also==
*[[Orthogonal Functions]]
*[[Fourier Transforms]]


==Contributors==
Principle author of this page: [[User:Goeari|Aric Goe]]
Principle author of this page: [[User:Goeari|Aric Goe]]

Introduction added on 10/06/05 by [[User:wonoje|Jeff W]]

Latest revision as of 02:21, 13 February 2008

Introduction

Born in Auxerre, France in 1768, Jean Baptiste Joseph Fourier was orphaned at the age of eight. Later he was instructed by Benedictine monks who taught at and ran a military college.

Years later (1822) Fourier's genius became evident when he discovered that he could represent a periodic function as a sum of sinusoids. It may be interesting to note that what has come to be known as the Fourier series was invented while Fourier was studying heat flow.

Even though Fourier had discovered a powerful tool, his peers were slow in accepting it. This may be because he provided to rigorous proof to show that his series was an accurate representation of a periodic function. Later, P.G.L. Dirichlet was able to present an acceptable proof.


Information used in the introduction has been adapted from Linear Circuit Analysis by DeCarlo & Lin and Fundamentals of Electric Circuits by Alexander and Sadiku.

Periodic Functions

A continuous time signal is said to be periodic if there is a positive nonzero value of T such that

for all

Dirichlet Conditions

The conditions for a periodic function with period 2L to have a convergent Fourier series are as follows:

Theorem:

Let be a piecewise regular real-valued function defined on some interval [-L,L], such that has only a finite number of discontinuities and extrema in [-L,L]. Then the Fourier series of this function converges to when is continuous and to the arithmetic mean of the left-handed and right-handed limit of at a point where it is discontinuous.

The Fourier Series

A Fourier series is an expansion of a periodic function in terms of an infinite sum of sines and cosines. Fourier series make use of the orthogonality relationships of the sine and cosine functions. One way to represent a Fourier series is

.

See Also

Contributors

Principle author of this page: Aric Goe

Introduction added on 10/06/05 by Jeff W