Fourier transformation on discrete function

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SUMMARY

The discussion centers on the application of the Fourier transformation in physics, specifically transforming a discrete function, represented as ##f(x) = {f_0, f_1, ... f_{N-1}, f_N}##, into its k-dependent form using the Fast Fourier Transform (FFT). The user inquires about obtaining ##F(p)## from ##F(k)##, where the wavenumber is defined as ##k=p/\hbar##. The response highlights the possibility of using the Discrete Time Fourier Transform (DTFT) to achieve this transformation, emphasizing its relevance in handling discrete variables.

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  • Understanding of Fourier transformation principles
  • Familiarity with Fast Fourier Transform (FFT) algorithms
  • Knowledge of Discrete Time Fourier Transform (DTFT)
  • Basic concepts of wavenumber and momentum in physics
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  • Research the mathematical foundations of the Discrete Time Fourier Transform (DTFT)
  • Explore the implementation of Fast Fourier Transform (FFT) in Python using libraries like NumPy
  • Study the relationship between wavenumber and momentum in quantum mechanics
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Physicists, signal processing engineers, and anyone interested in the mathematical applications of Fourier transformation in discrete systems.

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Hi there,
I am reading a material on the application of Fourier transformation in physics. One application is to transform the position-dependent function to k-dependent function, i.e.## F(k) = FFT[f(x)]##

We know that the in physics, the wavenumber could be written in momentum as ##k=p/\hbar##. My question is if I have a discrete function

##f(x) = {f_0, f_1, ... f_{N-1}, f_N}##

which doesn't have close form but just given by a simulation. If I do the discrete Fourier transformation, I can have the discrete ##F(k)## but is that any way to obtain ##F(p)## from ##F(k)##?
 
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Thanks for the post! Sorry you aren't generating responses at the moment. Do you have any further information, come to any new conclusions or is it possible to reword the post?
 
It is possible to take a continuous FT of a function of a discrete variable. Look up the DTFT, "discrete time Fourier transform."
 

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