Convolution and space-time Fourier transform

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The discussion centers on the space-time Fourier transform of the convolution G⊗(∂nu/∂tn) and whether the relation G⊗(∂nu/∂tn) = ∂n(G⊗u)/∂tn holds true. Participants highlight the importance of applying Fourier transform properties and the convolution theorem to address these questions. There is a focus on the challenges posed by the function u, which does not converge to zero at infinity, leading to considerations of generalized Fourier transforms. The interchange of differentiation and integration is also discussed, noting that it typically holds for "nice" functions but may not apply universally. The conversation emphasizes the complexities of handling functions in both space and time domains.
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.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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