Fourier transform of Green's function

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Discussion Overview

The discussion centers around the Fourier transform of the Green's function associated with the fundamental Helmholtz equation. Participants explore the mathematical intricacies of confirming the Fourier transform pair and the implications of using distributions in this context.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents the Fourier transform of the Green's function, noting difficulties in confirming the transform due to convergence issues when treating it as a regular function.
  • The same participant considers using a Gaussian convergence factor but expresses uncertainty about the implementation.
  • Another participant suggests that the inversion of the Fourier transform can be performed without additional convergence factors and references a textbook that may contain relevant methods.
  • A follow-up question is raised about whether the Fourier transform can be defined solely through the Helmholtz equation, questioning the applicability of standard Fourier transform definitions to the function itself.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the methods for confirming the Fourier transform or the nature of the transform's definition. Multiple viewpoints and approaches are presented, indicating ongoing debate.

Contextual Notes

There are unresolved issues regarding the convergence of integrals involved in the Fourier transform and the dependence on the definitions of the Fourier transform in the context of distributions.

bdforbes
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By taking the Fourier transform of the fundamental Helmholtz equation

(\nabla^2+k^2)G(\vec{x})=-\delta(\vec{x}),

one finds that

G(\vec{x})=\frac{e^{ikr}}{r}

and

\tilde{G}(\vec{\xi})=\frac{1}{k^2-\xi^2}.

However, I can't figure out how to directly confirm that this Fourier transform pair is correct. I tried directly transforming e^{ikr}/r as if it were a regular function, but I ended up with something which doesn't converge:

\frac{4\pi}{\xi}\int\limits_0^\infty e^{ikr}sin(\xi r)dr

I didn't really expect that to work, since distributions are involved. So I tried doing it with distributions:

<br /> \begin{align*}<br /> &amp;=\int\mathcal{F}\left\{\frac{e^{ikr}}{r}\right\}u(\vec{\xi})d\vec{\xi}\\<br /> &amp;\equiv\int \frac{e^{ikr}}{r}\mathcal{F}\left\{u(\vec{\xi})\right\}d\vec{x}\\<br /> &amp;=\int \frac{e^{ikr}}{r}\int u(\vec{\xi})e^{-i\vec{\xi}\cdot\vec{x}}d\vec{\xi}d\vec{x}<br /> \end{align*}<br />

At this point I'm thinking about using a Gaussian convergence factor, but I'm not sure exactly how to do it. Can anyone help out?
 
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bdforbes,

It turns out that you can invert the Fourier transform of your Green's function without extra convergence factors or the theory of distributions. This is a pretty standard problem you will find in some textbooks - I don't have any of them handy right now as I am on travel, but the trick is that you can argue that you can perform a coordinate rotation int he Fourier domain to make inverting the transforms easier. I'm pretty sure that "Functions of a complex variable" by Carrier et al. has this, either in the text or as a problem (most likely as a problem, since almost everything in that book is in a problem :).

Good luck.

Jason
 
Thanks for your reply JasonRF. I am actually specifically trying to forward transform the Green's function, as opposed to inverting the transform, which I am relatively comfortable with. Does your method still apply? I will try to get a hold of that text.
 
Is it possible that this Fourier transform is defined purely through the Helmholtz equation? I.e. no definition of a Fourier transform can be directly applied to the function itself?
 

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