Polar Fourier transform of derivatives

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SUMMARY

The discussion focuses on the polar Fourier transform of derivatives, specifically how to compute it compared to Cartesian coordinates. The polar Fourier transform is expressed as \(\hat{f}(\rho,\phi)=\int_{0}^{\infty}\int_{-\pi}^{\pi}rf(r,\theta)e^{-ir\rho\cos(\theta-\phi)}drd\theta\). The user derived the expression for the r-derivative as \(\widehat{\frac{\partial f}{\partial r}}=-\rho\sum_{n\in\mathbb{Z}}\int_{0}^{\infty}rf_{n}(r)J_{n-1}(r\rho)dr\) after expanding \(f(r,\theta)\) into a Fourier series. The conversation suggests exploring the Hankel transform for further insights into the transform of a derivative.

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hunt_mat
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TL;DR
Computing Fourier transforms is simple in Cartesian co-ordinates but how do you do it for polar co-ordinates?
The 2D Fourier transform is given by: \hat{f}(k,l)=\int_{\mathbb{R}^{2}}f(x,y)e^{-ikx-ily}dxdy
In terms of polar co-ordinates: \hat{f}(\rho,\phi)=\int_{0}^{\infty}\int_{-\pi}^{\pi}rf(r,\theta)e^{-ir\rho\cos(\theta-\phi)}drd\theta

For Fourier transforms in cartesian co-ordinates, relating the Fourier transform of a derivative of a function to the Fourier transform of the function. However, what happens with the polar Fourier transform? I've done a simple calculation for the r-derivative and I get:
\widehat{\frac{\partial f}{\partial r}}=-\rho\sum_{n\in\mathbb{Z}}\int_{0}^{\infty}rf_{n}(r)J_{n-1}(r\rho)dr
This is after I expanded f(r,\theta) as a Fourier series:f(r,\theta)=\sum_{n\in\mathbb{Z}}f_{n}(r)e^{in\theta}
I feel a little lost at this point. Can anyone suggest anything?
 
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hunt_mat said:
TL;DR Summary: Computing Fourier transforms is simple in Cartesian co-ordinates but how do you do it for polar co-ordinates?

The 2D Fourier transform is given by: \hat{f}(k,l)=\int_{\mathbb{R}^{2}}f(x,y)e^{-ikx-ily}dxdy[\tex]<br />
<br /> Did you mean to type this? <br /> The 2D Fourier transform is given by: ##\hat{f}(k,l)=\int_{\mathbb{R}^{2}}f(x,y)e^{-ikx-ily}dxdy##
 
DaveE said:
Did you mean to type this?
The 2D Fourier transform is given by: ##\hat{f}(k,l)=\int_{\mathbb{R}^{2}}f(x,y)e^{-ikx-ily}dxdy##
I was correcting my memory on how to include LaTeX here, you'll see that it's corrected now.
 
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Search for "Hankel transform". The Wikipedia article doesn't give an expression for the transform of a derivative, but differentiating the inverse transform and using Bessel function identities should work.
 
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I had a feeling that this would be the case. A lot of my undergraduate was pure maths, mainly analysis and mathematical physics. Solving PDEs was something I had to teach myself about.

This is about a water wave problem, looking for the free surface from a vorticity distribution. The azimuthal component will be the most important.
 

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