10/02 - Fourier Series

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Fourier Series (as compared to vectors)

If a function is periodic, x(t)=x(t+T), and it meets the Dirichlet conditions, then we can write it as x(t)=n=αnej2πnt/T

  • Dirichlet conditions
    • x(t) must have a finite number of extrema in any given interval
    • x(t) must have a finite number of discontinuities in any given interval
    • x(t) must be absolutely integrable over a period
    • x(t) must be bounded

Like vectors we can change to a new basis function by taking the inner product of x(t) with the mth basis function. Don't forget that the inner product of two vectors requires a complex conjugate. ab=i=1naibi*

x(t)ej2πmt/T =T/2T/2x(t)ej2πmt/Tdt
=T/2T/2(n=αnej2πnt/T)ej2πmt/Tdt
=n=αnT/2T/2ej2πnt/Tej2πmt/Tdt
=n=αnT/2T/2ej2π(nm)t/Tdt
=n=αn{T,n=m0,nm}
=n=αnTδ(nm)
=Tn=αnδ(nm)
=Tαm

Sticking this back into the top equation gives

αm=1TT/2T/2x(t)ej2πmt/Tdt

Notes

  • The integral range reflects the period T as defined at the top of the page. The current range carries over to the Fourier series better than going from 0 to T.
  • When switching the order of integrals and summations, you can "cavalierly" switch the order as long as there aren't summations/integrals to infinity.
  • To see {T,n=m0,nm} remember Euler's identities for sine and cosine. Since we are integrating the sine and cosine waves over a single period (assuming mn), the value integrates to 0.
cos(x)=eix+eix2
sin(x)=eixeix2i