The Fourier transform of the Fourier transform

In summary, when taking the Fourier transform of the Fourier transform of a suitably regular function on ℝ, the resulting function is f(-x). This means that the function is simply reflected across the y-axis.
  • #1
Poopsilon
294
1

Homework Statement



Let f be a suitably regular function on ℝ. (whatever that means).

What function do we obtain when we take the Fourier transform of the Fourier transform of f?

Homework Equations



[tex]F(s) = \int_{x=-\infty}^{\infty}f(x)e^{-2\pi isx}dx[/tex]

The Attempt at a Solution



[tex]\int_{x=-\infty}^{\infty}F(s)e^{-2\pi isx}dx = F(s)\int_{x=-\infty}^{\infty}e^{-2\pi isx}dx = F(s)[\frac{-e^{-2\pi isx}}{2\pi is}]_{x=-\infty}^{\infty} = \frac{F(s)i}{2\pi s}[e^{-2\pi isx}]_{x=-\infty}^{\infty}[/tex]

But this simply oscillates indefinitely around a complex circle as x goes to negative infinity and infinity, where have I gone wrong?
 
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  • #2
when taking the Fourier transform of F(s), you must treat "s" as "x" when you substitute into the formula
 
  • #3
Thanks sunjin09, could you also tell me what 'suitably regular' means?
 
  • #4
Poopsilon said:
Thanks sunjin09, could you also tell me what 'suitably regular' means?

It means the Fourier transform exists, and the inverse transform gives back to the original function.
 
  • #5
Ok, here's what I've got now:

[tex] \int_{x=-\infty}^{\infty}F(x)e^{-2\pi isx}dx = \int_{y=-\infty}^{\infty}(\int_{x=-\infty}^{\infty}f(x)e^{-2\pi ix^2}dx)e^{-2\pi isy}dy = \int_{x=-\infty}^{\infty}f(x)e^{-2\pi ix^2}(\int_{y=-\infty}^{\infty}e^{-2\pi isy}dy)dx = F(s)\int_{x=-\infty}^{\infty}f(x)e^{-2\pi ix^2}dx [/tex]

Is this it, or can I simplify more?

Edit: Actually this isn't right, I think I may have made some illegal moves with the dummy variables.. Let's try this:

[tex] \int_{x=-\infty}^{\infty}F(x)e^{-2\pi isx}dx = \int_{y=-\infty}^{\infty}(\int_{x=-\infty}^{\infty}f(y)e^{-2\pi ixy}dx)e^{-2\pi isy}dy = \int_{x=-\infty}^{\infty}e^{-2\pi ixy}(\int_{y=-\infty}^{\infty}f(y)e^{-2\pi isy}dy)dx = F(s)\int_{x=-\infty}^{\infty}f(x)e^{-2\pi ixy}dx [/tex]
 
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  • #6
When you write F(s) as F(x), you must write f(x) as say, f(u), don't use the same symbol for different quantities, the answer is very simple, just be careful with substitutions
 
  • #7
Ok is the answer then, F(s)F(r)?
 
  • #8
actually I think it's f(-x), is this correct?
 

FAQ: The Fourier transform of the Fourier transform

What is the Fourier transform of the Fourier transform?

The Fourier transform of the Fourier transform is also known as the inverse Fourier transform. It is a mathematical operation that takes a function in the frequency domain and transforms it back to the time domain. In other words, it converts a signal from its frequency representation to its time representation.

What is the purpose of the Fourier transform of the Fourier transform?

The purpose of the Fourier transform of the Fourier transform is to analyze and understand the frequency components of a signal. It is often used in signal processing, image processing, and other fields of science and engineering to identify specific frequencies and patterns in a signal.

How is the Fourier transform of the Fourier transform calculated?

The Fourier transform of the Fourier transform is calculated by applying the Fourier transform twice. This can be represented as F{F{f(x)}} or F²{f(x)}, where f(x) is the original function and F is the Fourier transform operator. Essentially, it involves taking the integral of the Fourier transform of a function in the frequency domain, which results in the original function in the time domain.

Can the Fourier transform of the Fourier transform be applied to any function?

Yes, the Fourier transform of the Fourier transform can be applied to any function that satisfies certain mathematical properties, such as being integrable and having a finite energy. However, the resulting function may not always have a practical interpretation or application.

What are the limitations of the Fourier transform of the Fourier transform?

The main limitation of the Fourier transform of the Fourier transform is that it assumes the signal is periodic and has a finite energy. This means that it may not accurately represent signals that are not periodic or have infinite energy. Additionally, it may not be suitable for analyzing non-linear or non-stationary signals.

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