Does a Fourier transform exist for this (smooth) f.?

In summary, the function e^{-x^2}\cos \left( e^{x^2} \right) does not have a closed form Fourier transform and it is continuously differentiable on all intervals in R. However, it converges to zero at the infinities, even though the derivative may blow up there.
  • #1
rachmaninoff
[tex]e^{-x^2}\cos \left( e^{x^2} \right) [/tex]

Mathematica doesn't have an algorithm for it, does a closed form exist for the Fourier transform? It's continuously differentiable on all intervals in R, and it converges to zero at the infinities (the derivative blows up there).
 
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  • #2
rachmaninoff said:
[tex]e^{-x^2}\cos \left( e^{x^2} \right) [/tex]

Mathematica doesn't have an algorithm for it, does a closed form exist for the Fourier transform? It's continuously differentiable on all intervals in R, and it converges to zero at the infinities (the derivative blows up there).
Well after looking at it for a few minutes on paper, I'd say I certainly doubt you'll get anything nice out of that. Also if Mathematica can't do it, I doubt I'll find an answer as well.
 
  • #3


Yes, a Fourier transform does exist for this function f(x) = e^{-x^2}\cos \left( e^{x^2} \right). In fact, the Fourier transform of this function can be computed using the standard definition of the Fourier transform and integration by parts. The resulting integral may not have a closed form solution, but it can still be evaluated numerically. Additionally, since the function is continuously differentiable and converges to zero at the infinities, it satisfies the conditions for the Fourier transform to exist.
 

FAQ: Does a Fourier transform exist for this (smooth) f.?

What is a Fourier transform?

A Fourier transform is a mathematical operation that breaks down a function into its various frequency components. It is used in many areas of science and engineering to analyze signals and systems.

Can a Fourier transform be applied to any function?

No, a Fourier transform can only be applied to functions that are smooth and have a well-defined frequency spectrum. This means that the function must be continuous and have a finite number of discontinuities.

How is a Fourier transform calculated?

A Fourier transform is calculated by integrating the function over the entire real line using complex numbers. The result is a function in the frequency domain that represents the original function in terms of its frequency components.

Are there any limitations to using a Fourier transform?

Yes, there are some limitations to using a Fourier transform. For example, a Fourier transform assumes that the function is periodic, which may not always be the case in real-world applications. It also cannot accurately represent functions with infinite discontinuities.

How is a Fourier transform used in scientific research?

A Fourier transform is used in many areas of scientific research, such as signal processing, image processing, and quantum mechanics. It allows scientists to analyze complex data and systems in terms of their frequency components, which can provide valuable insights and understanding.

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