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Uniform Distribution of Random Points on a SphereDate: 07/14/2005 at 12:54:23 From: Pradip Subject: random points on a sphere with uniform distribution Is there a method to pick random points on a sphere which are uniformly distributed on the sphere? I've tried it by selecting theta between 0 and pi and phi between 0 and 2*pi, but I get a higher density of points near the poles.
Date: 07/15/2005 at 07:05:05
From: Doctor George
Subject: Re: random points on a sphere with uniform distribution
Hi Pradip,
Thanks for writing to Doctor Math. You are on the right track with
wanting to select angles. I may be using different angle conventions
than you are, so check carefully.
The surface area of a sphere is 4*pi*r^2, so the probability density
function for uniform density over a sphere is
1 / (4*pi*r^2)
This does not really help us generate a random variable because it
does not tell us what to do with x, y and z. We know that we want
x^2 + y^2 + z^2 = r^2, so transforming to spherical coordinates (rho,
phi, theta) looks like a helpful thing to do.
Letting 0 <= phi < pi, 0 <= theta < 2*pi, we have
x = rho sin(phi) cos(theta)
y = rho sin(phi) sin(theta)
z = rho cos(phi)
We need to use standard transformation techniques on the cummulative
density function, like this.
Int{Int{Int{1/(4*pi*r^2) dxdydz}}}
Int{Int{Int{1/(4*pi*r^2) rho^2 sin(phi) d(rho)d(phi)d(theta)}}}
Now factor the integrand to generate independent densities
Int{Int{Int{[1/(2*pi)][sin(phi)/2][rho^2/r^2]d(rho)d(phi)d(theta)}}}
This leaves us with
f(theta) = 1/(2*pi)
f(phi) = sin(phi)/2
f(rho) = rho^2 / r^2
Since we are integrating over the surface
rho = r
f(rho) = 1
Now we just need to randomly generate theta and phi from their
cumulative densities.
F(theta) = theta / (2*pi)
F(phi) = [1 - cos(phi)] / 2
Let u1 = F(theta) and u2 = F(phi) be independent uniform random
variates on [0,1). If we solve for theta and phi we get
theta = 2*pi*u1
phi = acos(1 - 2*u2)
Now use these random variates to generate x, y and z.
Does that make sense? Please let me know how this works for you.
Write again if you need more help.
- Doctor George, The Math Forum
http://mathforum.org/dr.math/
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