Fourier series - by Ray Betz: Difference between revisions

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<math> \bold x(t) = \sum_{k=-\infty}^\infty \alpha_k e^ \frac {j 2 \pi k t}{T}</math>
<math> \bold x(t) = \sum_{k=-\infty}^\infty \alpha_k e^ \frac {j 2 \pi k t}{T}</math>
</center>
</center>
The above equation is called the complex fourier series. Given <math>x(t)</math>, we may determine <math> \alpha_k </math> by taking the [[inner product]] of <math>x(t)</math> with <math>\alpha_k</math>.
The above equation is called the complex fourier series. Given <math>x(t)</math>, we may determine <math> \alpha_k </math> by taking the [[inner product]] of <math>\alpha_k</math> with <math>x(t)</math>.
Let us assume a solution for <math>\alpha_k</math> of the form <math>e^ \frac {j 2 \pi n t}{T}</math>. Now we take the inner product of <math>\alpha_k</math> with <math>x(t)</math>.
<math> <\alpha_k|x(t)> = <e^ \frac {j 2 \pi n t}{T}|\sum_{k=-\infty}^\infty \alpha_k e^ \frac {j 2 \pi k t}{T}> </math>
<math>= \int_{-\frac{T}{2}}^\frac{T}{2} x(t)e^ \frac {-j 2 \pi n t}{T} dt </math>
<math>= \int_{-\frac{T}{2}}^\frac{T}{2} \sum_{k=-\infty}^\infty \alpha_k e^ \frac {j 2 \pi k t}{T}e^ \frac {-j 2 \pi n t}{T} dt </math>
<math>= \sum_{k=-\infty}^\infty \alpha_k \int_{-\frac{T}{2}}^\frac{T}{2}  e^ \frac {j 2 \pi (k-n) t}{T} dt </math>
 
If <math>k=n</math> then,
 
<math> \sum_{k=-\infty}^\infty \alpha_k \int_{-\frac{T}{2}}^\frac{T}{2}  e^ \frac {j 2 \pi (k-n) t}{T} dt = \int_{-\frac{T}{2}}^\frac{T}{2}  1 dt = T</math>
 
If <math>k \ne; n </math> then,
 
<math> \sum_{k=-\infty}^\infty \alpha_k \int_{-\frac{T}{2}}^\frac{T}{2}  e^ \frac {j 2 \pi (k-n) t}{T} dt = 0 </math>
 
So, we can simplify the above two conclusion into one equation.
 
<math> \sum_{k=-\infty}^\infty \alpha_k \int_{-\frac{T}{2}}^\frac{T}{2}  e^ \frac {j 2 \pi (k-n) t}{T} dt = \sum_{k=-\infty}^\infty T \delta_{k,n} \alpha_k = T \alpha_n </math>

Revision as of 16:59, 13 October 2005

Fourier Series

If

  1. x(t)=x(t+T)
  2. Dirichlet conditions satisfied

then we can write

x(t)=k=αkej2πktT

The above equation is called the complex fourier series. Given x(t), we may determine αk by taking the inner product of αk with x(t). Let us assume a solution for αk of the form ej2πntT. Now we take the inner product of αk with x(t). <αk|x(t)>=<ej2πntT|k=αkej2πktT> =T2T2x(t)ej2πntTdt =T2T2k=αkej2πktTej2πntTdt =k=αkT2T2ej2π(kn)tTdt

If k=n then,

k=αkT2T2ej2π(kn)tTdt=T2T21dt=T

If k;n then,

k=αkT2T2ej2π(kn)tTdt=0

So, we can simplify the above two conclusion into one equation.

k=αkT2T2ej2π(kn)tTdt=k=Tδk,nαk=Tαn