Everything2
Near Matches
Ignore Exact
Full Text
Everything2

Fourier series

created by Fourier

(idea) by Chris (3.7 y) (print)   ?   (I like it!) 3 C!s Sun Mar 18 2001 at 13:32:06

Fourier Series allow periodic functions to be broken down into linear combinations sine and cosine waves. Consequently they are extremely important in many areas of applied mathematics, particularly in frequency analysis. In many situations they can be used to solve differential equations, such as the wave equation.

Definition

Let f(x) be a real periodic square integrable function with period 2L. The Fourier Series is defined as

            inf               inf
f(x) = a0 +  Σ ancos(nπx/L) +  Σ bnsin (nπx/L).
            n=1               n=1
where the coefficients are determined by the integrals
an = 1/L integral(f(x)cos(nπx/L)dx, x=0...2L)
bn = 1/L integral(f(x)sin(nπx/L)dx, x=0...2L).

Justification

The Fourier series works because the functions cos(nπx/L) and sin(nπx/L) form a complete orthogonal set of the space of square integrable functions on the interval from 0 to 2L. We have the orthogonality relations for n,m>0 of the form

integral(sin(nπx/L)sin(mπx/L)dx, x=0...2L) = L δmn
integral(cos(nπx/L)cos(mπx/L)dx, x=0...2L) = L δmn
integral(cos(nπx/L)sin(mπx/L)dx, x=0...2L) = 0
where δmn is the Kronecker Delta. Now assume we have an expression of the form as above, and we wish to determine the coefficient bm. Multiply the relation by sin(mπx/L) to obtain
                                inf                         inf
f(x) sin(mπx/L)= a0sin(mπx/L) +  Σ ancos(nπx/L)sin(mπx/L) +  Σ bnsin (nπx/L)sin(mπx/L).
                                n=1                         n=1
We now integrate both sides from 0 to 2L. By the orthogonality relations, all the integrals vanish except for the term involving bm. Hence
integral(f(x)sin(mπx/L)dx, x=0...2L) = L bm
which gives the required result. The am's can be determined in a similar way by multiplying through by cos(mπx/L) and integrating.

Example

Consider a sawtooth wave, given by f(x)=x on the open interval (-L,L), which is periodic with period 2L.

        f(x)
         |
   /     |   /         /
  /      |  /         /
 /       | /         /
/        |/         /
----+----+----+----+---- x
    -L  /|    L   /2L
       / |       /
      /  |      /
     /   |     /
         |

Then by above we have

an = 1/L integral(x cos(nπx/L)dx, x=-L...L)
   = 0,
by symmetry. Using integration by parts we obtain
bn = 1/L integral(x sin(nπx/L)dx, x=-L...L)
   = 2/L integral(x sin (nπx/L)dx, x=0...L)
   = 2/L (-L/(nπ))(Lcos(nπL/L) - Lcos(nπ0/L)) + 2/(nπ) integral(cos(nπx/L),x=0...L)
   = -2L/(nπ)cos(nπ)
   = 2L/(nπ) (-1)n+1.
From this we deduce that
      inf
f(x) = Σ 2L/(nπ) (-1)n+1 sin (nπx/L)
      n=1
     
     = 2L/π (sin(πx/L) - sin(2πx/L)/2 + sin(3πx/L)/3 - sin(4πx/L)/4 + ... )
Even for a simple example such as this we have derived a remarkable result: not the sort thing that one could guess.

Complex representation

If the input function f(x) is complex, then we have an alternative formulation

       inf
f(x) =  Σ cn exp(inπx/L)
      n=-inf
where the coefficients are determined by
cn = 1/(2L) integral(f(x)exp(-inπx/L)dx, x=-L...L).


(thing) by Suvrat (5.8 mon) (print)   ?   (I like it!) Sun Mar 18 2001 at 17:35:26

Just a few comments about convergence. In general square integrability will not guarantee convergence of the Fourier series to the original function. For example, in the case of the sawtooth mentioned above, the Fourier series will take on the value 0 at x= L and x= -L, both of which are points of discontinuity.

Convergence of the Fourier series is rather unlike convergence of a power series. A power series converges in a disk. In contrast the convergence of a fourier series is a local phenomenon. So, whether or not the fourier series converges depends on the local properties of the function at that point. In particular a sufficient condition for the fourier series to converge to the original function is that the function satisfy a Lipshitz condition at that point. This means that abs(f(x)-f(y)) can be made smaller that const*abs(x-y) in some interval about x.(Essentially a Lipshitz condition is stronger than continuity but weaker than differentiability).

A closely related subject is that of Fourier transforms.


printable version
chaos

Fourier transform Srinivasa Ramanujan Fourier analysis square integrable
FFT wave equation Warcraft audio compression
Boundary value problems Node More Mathematics de Moivre's Theorem E-Space
complex number 5-piece drum set Fourierism Pierre Laplace
Multiplication using the Fast Fourier Transform pi step function The Dirichlet Conditions
Jean-Baptiste Joseph Fourier Everything University Ramanujan Series God made the integers, all else is the work of man
Y'know, if you log in, you can write something here, or contact authors directly on the site. Create a New User if you don't already have an account.
  Epicenter
Login
Password

password reminder
register

Everything2 Help

Cool Staff Picks
Things you could have written:
Trieste
lift yr. skinny fists like antennas to heaven!
terahertz ray
Pickett's Charge
College of Cardinals
Want (the state of not having her)
Milkweed
Gaussian Distribution
Kubla Khan
Why beverage cans have concave bottoms
Hot Damn 5! The Dysfunctional Family Reunion Strikes Back
Mandelbrot set
Non-standard analysis
New Writeups
Simulacron3
Reality, Dimensions and the Natural Ontology(essay)
SubSane
Making Love to a 9-Foot Woman(person)
Ouzo
Thoughts(idea)
antigravpussy
I fall silent, listening. The breadcrumbs are talking about us(person)
calgon
Buffalo Bill by the pool(poetry)
gate
Anarchy is Order(idea)
ushdfgakjasgh
Scribeling(thing)
XWiz
Trism(review)
artman2003
Briefcase Full of Souls - Part I(fiction)
Dreamvirus
Alan Ladd(person)
waverider37
Harold Holt(person)
The Debutante
Until death do us part(fiction)
Ysardo
a brother to a sister(personal)
antigravpussy
your warm whispers(personal)
Clarke
Multiculturalism(idea)
This affordable entertainment brought to you by The Everything Development Company