Half Range Fourier Series Rough Proof of Coefficient Equations Example plot of Spectrum of F.S. |

Fourier Series In various areas of engineering periodic wave forms are obtained which
need to be analysed. Simple examples include Sine waves, Cosine Waves,
Square, Triangular, Sawtooth and various combinations of these forms. A Fourier series is an expansion of a periodic
function in terms of an infinite sum of sines and cosines.
The derivation and study of Fourier series is known as harmonic analysis
and is extremely useful as a way to break up an periodic function into
a set of simple terms that can be selected, solved individually,
and then recombined to obtain the solution to the original problem.
The accuracy of the solution is dependent on the level of application of the procedure.
The use of these series and their integrals provide a very powerful tool in connection with various
problems involving ordinary and partial differential equations. Consider a function f( x ) of a real variable x which has the property. f(x + T) = f( x ) This function is a periodic function. If T is the
smallest value for which the equation is true then T is called the real period. f(x - nT) = f(x - T) = f( x ) = f(x+T) = f(x+nT) Any multiple of T ( n ≠ 0) is also a period. If f( x ) and g( x ) also have the period T then the function h( x ) = af( x ) + bg( x ) Also has a period T The most familiar examples of periodic functions are the sine and cosine functions. The general expansion which is used to enable the sine and cosine functions to be used to represent the periodic function under consideration is of the form f(x) = a This is simplified to the trigonometric series The various coefficients can be calculated using the following equations. (Coefficient Equations) The resulting trigonometric series is called the fourier series for f( x ) and the relevant coefficients are called the fourier coefficients. A very brief explanation of the derivation of the fourier coefficients is provided at the bottom of this page Derivation of fourier coefficients It is important to note, from the above notes that a Even and Odd FunctionsNote: If the function is symmetric with respect to the y axis it is an even function. A function is an odd function if f(-x) is = -f( x ). A pure sine function is a periodic odd function and a pure cosine is an even periodic function. Even function ...f( x ) = f(-x) If f( x ) is an even function then If f( x ) is an odd function then Note: cos( x ) is case of even function for which this is true but this is not general If a function is even so that f( x ) = f( -x ) , then f( x ).sin( nx ) is odd.
(an even function times an odd function is an odd function.) Therefore b A) The Fourier series of an even periodic function f( x ) having a period
2π is a Functions Having Arbitrary PeriodWhen considering functions which have a period T which is not equal to 2 π it is only necessary to modify the horizontal scale. Consider a function f( t ) which has a period T then to represent it in terms of a function f( x ) which has a period 2π by setting. The Fourier series with x expressed in terms of t is shown as follows The relevant Euler formulas are as follows A) The Fourier series of an even periodic function f( t ) having a period
T is a B) The Fourier series of an odd periodic function f( t ) having a period
T is a Half-Range Fourier Series Sometimes it is convenient to obtain a Fourier expansion of a function to
hold for a range which is half the period of the Fourier Series i.e. to expand f( x ) in
the range (0,π) in a Fourier Series of period 2π or
more generally in the range ( 0 , L ) in a
Fourier Series of period T = 2 L . If f( t ) is considered even then a fourier cosine series results If f( t ) is considered odd then a fourier sine series results The figure below illustrates a trace of function f(t) for t = 0 to l.
Plots of fourier series with associated plots of spectrum comprising the fourier series |

- Fourier Series ...Very clear cand comprehensive Notes
- Fourier Series Applet .. Applet Illustrating fourier series for different waveforms.
- Fourier Series .. A very easy to understand set of notes
- Gallery Mathods online .. A very accessible applet based tutorial providing qualitative understanding.