Dirac delta and fourier transform

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SUMMARY

The Dirac delta function, represented as δ(t - u), is fundamentally linked to the Fourier transform, specifically as a Fourier transform pair with the complex exponential exp(-iuω). The relationship indicates that a complex exponential with frequency u has all its energy concentrated at that frequency. The equation δ(t - u) = (1/2π)∫ exp(iω(t-u)) dω is noted as mathematically nonrigorous, but the correct interpretations involve the Fourier transform operator, where F(δ(t-u)) = exp(-iωu) and δ(t-u) = F^(-1)(exp(-iωu)), understood in the context of distributions.

PREREQUISITES
  • Understanding of Fourier transforms and their properties
  • Familiarity with the Dirac delta function and its applications
  • Knowledge of distribution theory in mathematics
  • Basic concepts of complex analysis, particularly complex exponentials
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  • Learn about the implications of the Fourier inversion theorem
  • Explore distribution theory and its applications in mathematical analysis
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In my book the dirac delta is described by the equation on the attached picture. This realtion is derived from the Fourier transform, but I'm not sure that I understand what it says. If u=t it is clear that one gets f(u) in the Fourier inversion theorem. But why wouldn't u=t? In the derivation of the Fourier transform from the discrete Fourier series t was just changed to u in the expression of the coefficients to avoid confusion.
Can anyone try to picture what this expression fundamentally says? I should suspect that it is like the analogue of the ortogonality relation of the discrete Fourier series, but I can't quite understand it.
And what would the situation u≠t represent?
 

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What it is saying is that

\delta(t - u)
and
\exp(-iu\omega)

are a Fourier transform pair. A complex exponential with "frequency" equal to u has a Fourier transform with all of its energy concentrated at u.
 
Last edited:
P.S. The equation

\delta(t - u) = \frac{1}{2\pi}\int_{-\infty}^{\infty} \exp(i \omega(t-u) d\omega

is mathematically nonrigorous. The integral on the right hand side does not actually exist for any values of u and t. What is true is that if \mathcal{F} denotes the Fourier transform operator, then

\mathcal{F}(\delta(t-u)) = \exp(-i\omega u)
and
\delta(t-u) = \mathcal{F}^{-1}(\exp(-i\omega u))

in the sense of distributions. See here for more details:

http://en.wikipedia.org/wiki/Distribution_(mathematics)
 
Last edited:

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