Relationship between Fourier transform and Fourier series?

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Discussion Overview

The discussion explores the relationship between the Fourier transform and Fourier series, particularly focusing on how they apply to periodic functions. Participants examine the theoretical underpinnings and practical implications of using each method for signal analysis.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants propose that the Fourier series is a special case of the Fourier transform, applicable only to periodic functions and yielding discrete frequencies.
  • Others suggest that performing Fourier transforms on specific Fourier series examples, such as sine terms or simple waveforms, can clarify their relationship.
  • A participant describes the Fourier integral in detail, contrasting it with the Fourier series, and notes the complexity of handling multiple harmonics in the series compared to the integral approach.
  • Another viewpoint suggests that as the period of a function approaches infinity, the Fourier series converges to the Fourier transform, indicating a potential transition between the two methods.

Areas of Agreement / Disagreement

Participants express differing perspectives on the relationship between Fourier series and Fourier transforms, with no consensus reached on whether one is a special case of the other or how they fundamentally relate.

Contextual Notes

Some limitations include the assumptions regarding periodicity in Fourier series and the conditions under which the Fourier transform is applied. The discussion also highlights the complexity of handling signals with multiple harmonics.

AstroSM
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What is the relationship between the Fourier transform of a periodic function and the coefficients of its Fourier series?

I was thinking Fourier series a special version of Fourier transform, as in it can only be used for periodic function and only produces discrete waves. By this logic, aren't they the same thing then for this case?
 
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Do a Fourier transform of a few short Fourier series (3-5 sin terms), or some simple ones like a square and a triangle wave, and you will see how it works.
 
AstroSM said:
What is the relationship between the Fourier transform of a periodic function and the coefficients of its Fourier series?

I was thinking Fourier series a special version of Fourier transform, as in it can only be used for periodic function and only produces discrete waves. By this logic, aren't they the same thing then for this case?
Take a signal g(t) = sin(wt). The Fourier series is of course sin(wt).
The Fourier integral is quite different: G(f) = (1/j2) [δ(f - f0) - δ(f + f0)]
with the inversion g(t) = ∫ from -∞ to +∞ of G(f)exp(jωt) df, ω ≡ 2πf.

You can determine the output of a transfer function H(f) with the Fourier integral: Y(f) = G(f) H(f). Then y(t) = F-1Y(f).
With the Fourier series of a signal with many harmonics you have to determine the effect of each harmonic separately, then add. Very cumbersome.
You can also handle a step-sine signal U(t)sin(ω0t) with the transform but not with the series, the latter assuming a signal stretching from -∞ to +∞.
The series gives an accurate description of an arbitrary periodic function; each coefficient represents the amplitude of each harmonic.
The integral is called the "spectrum" of the signal. I've always had some problem thinking of a spectrum of a pulse, but there it is.
 
AstroSM said:
What is the relationship between the Fourier transform of a periodic function and the coefficients of its Fourier series?

I was thinking Fourier series a special version of Fourier transform, as in it can only be used for periodic function and only produces discrete waves. By this logic, aren't they the same thing then for this case?
I think of it the other way around! As you take the length of one period going to infinity, the Fourier series goes to the Fourier transform.
 

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