Why Does Inverse Fourier Transform of Sinc Function Require Contour Integration?

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The discussion highlights the challenge of performing the inverse Fourier transform of the sinc function, which necessitates the use of contour integration and Cauchy principal values. The initial Fourier transform of the rect function yields a sinc function, but the inverse process raises concerns about the adequacy of standard definitions. The need for contour integration suggests that improper integrals may lead to inaccuracies in certain contexts. The conclusion emphasizes that the Cauchy Principal Value is suitable for handling these integrals, particularly when considering periodic approximations of the sinc function. This approach advocates for a symmetric boundary cutoff to ensure proper limits when taking the Fourier transform.
bdforbes
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I can easily find the Fourier transform of rect(x) to be 2sinc(2\pi k) using particular conventions (irrelevant here). But when I attempt to inverse Fourier transform the sinc function, I find I have to resort to contour integration and Cauchy principal values.

This is troubling to me. It appears as if the usual definition of a Fourier transform is inadequate here, and could possibly lead to incorrect results in another context. Can anyone shed any light on this?
 
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I have come to the conclusion that the Cauchy Principal Value is the appropriate type of improper integral to use. This is because Fourier transforms originate in the consideration of periodic functions; we should consider some approximation to the sinc function which is periodic, i.e. cut the function off at some finite symmetric boundary, take the Fourier transform, and then take the limits symmetrically to infinity.
 

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