Relationship between Fourier transform and Fourier series?

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The Fourier series can be viewed as a special case of the Fourier transform, specifically applicable to periodic functions and yielding discrete frequencies. The coefficients of the Fourier series represent the amplitudes of harmonics in the periodic function, while the Fourier transform provides a continuous spectrum of frequencies. As the period of the function approaches infinity, the Fourier series converges to the Fourier transform, illustrating their relationship. The Fourier transform can also handle non-periodic signals and analyze their effects through transfer functions, which is more cumbersome with Fourier series. Ultimately, both methods serve to analyze signals, but they cater to different types of functions and applications.
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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