Convolution and space-time Fourier transform

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SUMMARY

The discussion focuses on the space-time Fourier transform of the convolution G⊗(∂nu/∂tn), where G is a spatial function independent of time. Key insights include the application of the convolution theorem and the properties of Fourier transforms, particularly regarding the interchange of differentiation and integration. The user, Chandra, explores the validity of the relation G⊗(∂nu/∂tn) = ∂n(G⊗u)/∂tn, noting that the function "u" does not converge at infinity, prompting a consideration of generalized Fourier transforms for resolution.

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  • Understanding of Fourier transforms and their properties
  • Familiarity with convolution operations in mathematical analysis
  • Knowledge of differentiation and integration in the context of functional analysis
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Mathematicians, engineers, and physicists dealing with Fourier analysis, convolution operations, and the behavior of functions in space-time contexts.

shekharc
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Hi,

I have a general function u(x,y,z,t). Then, (1) what would be the space-time Fourier transform of G⊗(∂nu/∂tn) and (2) would the relation G⊗(∂nu/∂tn) = ∂n(G⊗u)/∂tn hold true? Here, note that the symbol ⊗ represents convolution and G is a function of (x,y,z) only (i.e. it does not depend on time).

Any answer would appreciated. Thanks!

-Chandra
 
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Chandra,

Most of your question is answered by applying the properties of Fourier transforms, all of which are, for exmaple, at:
http://fourier.eng.hmc.edu/e101/lectures/handout3/node2.html
including the convolution theorem (in link above and in this link: https://en.wikipedia.org/wiki/Convolution_theorem )
and a knowledge of the Fourier transform of a derivative.
shekharc said:
would the relation G⊗(∂nu/∂tn) = ∂n(G⊗u)/∂tn hold true?
Here you are essentially asking a question about interchanging differentiation and integration. As an engineer, I typically deal with "nice" functions for which this holds (indeed, I assume it holds!), but it doesn't always hold for any choice of functions. I cannot help you much more than that - sorry!
jason
 
Dear Jason,

Thanks for your suggestions. In fact, I was a bit confused because of involvement of both space and time in the Fourier transform. Anyway, I did it (hopefully correctly) by taking Fourier transforms two times; first, I took the transform with respect to space, and then with respect to time. As for the 2nd question, "u" is not a very nice function--it does not converge to zero when x,y,z-->INFINITY. So, currently I am looking at whether I can use generalized Fourier Transforms to deal with it.
 

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