Dec 26 2008

## Fourier Series

## Fourier Series

The Fourier Series is a representation of a periodic function using a series of sine and cosine terms. In other words, the fourier series is a breakdown of the original function into its individiual frequency components. In a physical sense, consider a ray of white light entering a prisim. The white light is broken up into the different colours (frequencies) of light that make up the white light. In this case, the white light would represent the original function, and the different colours would represent the fourier series of the white light.

Consider the function f(x) that is periodic with a period of , that is . The fourier series representation of the function is given by:

(1)

Where a_{n} and b_{n} are constants. We must determine what these constants are in order to find the fourier series. Before we do that, consider the following integrals:

(2)

(3)

(4)

(5)

(6)

Where m and n are integers and and is the Kronecker delta function defined as:

(7)

To determine the constants a_{n} and b_{n}, take equation 1 and integrate both sides of the equation over the period. The period is so we will integrate from to which gives us a domain of .

(8)

According to equations 2 and 3, the two summations of integrals on the right side of the equation is equal to 0 for all values of n, except n=0. So equation 8 simplifies down to.

(9)

(10)

Note that b_{0} is not needed because the constant is always multiplied by which is equal to 0.

Now take equation 1 and multiply both sides of the equation by and integrate over the period:

(11)

From equation 6, the second integral sum on the right side of the equation is always equal to 0, and from equation 4, the first integral sum is equal to when and 0 when .

Since the right side of the equation is non-zero only when , we can simplify equation 11 and use equation 4 to get the following:

This gives us the following expression for the a_{n} coefficients:

(12)

To find the b_{n} coefficients, we multiply equation 1 by and integrate over the period. Doing this and following the same reasoning as we did in determining the a_{n} coefficients, we get the following expression for the b_{n}.

(13)

Putting together equation 1, 10, 12 and 13, we can represent the function f(x) as a sum of sine and cosine terms which we call the Fourier Series:

Note the slight change in the expression for a_{0}, the factor of 1/2 was removed but a factor of 1/2 was added to the series expression. In the above applet, the bar graph represents the amplitudes of the sine and cosine terms. The red bars show the a_{n} coefficients and the green bars show the b_{n} coefficients.