Generalized functions | Theorems in Fourier analysis

Fourier inversion theorem

In mathematics, the Fourier inversion theorem says that for many types of functions it is possible to recover a function from its Fourier transform. Intuitively it may be viewed as the statement that if we know all frequency and phase information about a wave then we may reconstruct the original wave precisely. The theorem says that if we have a function satisfying certain conditions, and we use the convention for the Fourier transform that then In other words, the theorem says that This last equation is called the Fourier integral theorem. Another way to state the theorem is that if is the flip operator i.e. , then The theorem holds if both and its Fourier transform are absolutely integrable (in the Lebesgue sense) and is continuous at the point . However, even under more general conditions versions of the Fourier inversion theorem hold. In these cases the integrals above may not converge in an ordinary sense. (Wikipedia).

Fourier inversion theorem
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Frequency | Operator (mathematics) | Absolutely integrable function | Convolution theorem | Dominated convergence theorem | Fourier transform | Function composition | Fubini's theorem | Carleson's theorem | Lp space | Mathematics | Lebesgue integration | Riemann–Lebesgue lemma | Almost everywhere | Convergence of Fourier series | Convolution