What are the eigenfunctions of the spherical Fourier transform?

In summary, the conversation discusses the eigenfunctions of the spherical Fourier transform. The participants mention the use of Bessel functions, Legendre functions, and spherical harmonics. They also suggest using an Euler type equation and a 3D Fourier transform in Cartesian coordinates to find the eigenfunctions. One of the participants shares a link to a paper on Fourier analysis in polar and spherical coordinates.
  • #1
christianjb
529
1
Does anyone know what the eigenfunctions of the spherical Fourier transform are? I want to expand a spherically symmetric function in these eigenfunctions.

Are they Bessel functions? Legendre functions?
 
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  • #3
HallsofIvy said:
They are the "spherical harmonics". Yes, they involve teh Legendre functions. Check this: http://en.wikipedia.org/wiki/Spherical_harmonics#Spherical_harmonics_expansion.


Thanks.

I have a spherically symmetric function - i.e. no theta/phi dependence. The spherical harmonics account for only the theta/phi dependence- or am I missing something?
 
  • #4
In that case your equation should reduce to an ordinary differential equation in [itex]\rho[/itex] and, if I remember correctly, for the Laplace operator, at least, it is an "Euler type" equation with powers of [itex]\rho[/itex] as solution.
 
  • #5
I'm not solving a differential eqn. I'm looking for an orthogonal basis where each basis function is an eigenfunction of the spherical Fourier transform.
 
  • #6
I'm pretty sure you can still expand it in terms of [itex]A \sin kr + B \cos kr[/itex]. It is, after all, some function of r, so you can just Fourier-transform it normally. If not, then try

[tex]\frac{A}{r} \sin kr + \frac{B}{r} \cos kr[/tex]

This is a solution of the wave equation in 3 dimensions, in the same since that sin and cos are solutions in 1 dimension, and Bessel functions are solutions in 2 dimensions.

I could be totally wrong here, though.

Yet another option is to write down the 3D Fourier transform in Cartesian coordinates, and transform it to spherical coordinates.
 
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  • #7
Thanks- but I'm specifically looking for the eigenfunctions of the spherically symmetric Fourier transform. I've already got numerical solutions for the spherical FT.
 
  • #9
Tschew said:
Hi, this is a very late reply but I found your post as one of the first results in a google search and thought other people searching would find the following link interesting:

Fourier Analysis in Polar and Spherical Coordinates

http://lmb.informatik.uni-freiburg.de/papers/download/wa_report01_08.pdf

Thanks a LOT, dude, this paper just really helped me! Good thing that the internet doesn't forget so even such old threads can be helpful.
 

FAQ: What are the eigenfunctions of the spherical Fourier transform?

What is a Spherical Fourier Transform?

The Spherical Fourier Transform is a mathematical tool used to decompose a function defined on a sphere into a series of spherical harmonics. It is analogous to the traditional Fourier Transform used for functions defined on a linear domain.

How is the Spherical Fourier Transform different from the traditional Fourier Transform?

The main difference between the two transforms is the domain on which they are applied. The traditional Fourier Transform is used for functions defined on a linear domain, while the Spherical Fourier Transform is used for functions defined on a spherical domain. Additionally, the Spherical Fourier Transform uses spherical harmonics as the basis functions, while the traditional Fourier Transform uses sinusoidal functions.

What are the applications of the Spherical Fourier Transform?

The Spherical Fourier Transform has various applications in fields such as geophysics, astrophysics, and computer graphics. It is commonly used to analyze and extract information from spherical data, such as maps of the Earth's magnetic field or images of celestial bodies. It is also used in the compression and reconstruction of spherical signals, such as 360-degree videos.

How is the Spherical Fourier Transform calculated?

The Spherical Fourier Transform is calculated by integrating the function over the sphere with respect to spherical harmonics. The coefficients of the spherical harmonics are then used to reconstruct the function. This process can be done analytically or numerically using various algorithms.

What are the advantages of using the Spherical Fourier Transform?

The Spherical Fourier Transform allows for the efficient analysis and processing of spherical data. It also provides a compact representation of spherical signals, making it useful for compression and reconstruction. Additionally, it has applications in solving partial differential equations on spherical domains, which are common in many areas of science and engineering.

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