Uniform Distribution on unit Circle

In summary, a random vector (X, Y) uniformly distributed over the unit circle has a probability density of 1/pi. The proof is based on assigning the same probability to every point and interval within the circle, resulting in a constant PDF of c. By integrating the PDF over the entire region, we get the area of the circle, which must equal 1. Therefore, c is equal to 1/pi.
  • #1
IniquiTrance
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I keep reading that a random vector (X, Y) uniformly distributed over the unit circle has probability density [itex]\frac{1}{\pi}[/itex]. The only proof I've seen is that
[tex]f_{X,Y}(x,y) = \begin{cases} c, &\text{if }x^2 + y^2 \leq 1 \\ 0 &\text{otherwise}\end{cases} [/tex]

And then you solve for [itex]c[/itex] by integrating to 1. This does not seem self-evident to me. Can anyone please offer a more detailed proof? Thanks!
 
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  • #2
Hey IniquiTrance.

With a uniform distribution, each realization or outcome has exactly the same chance as every other outcome.

Now in this problem, we assign the same probability outcome for every single point and equal sized interval, which means we assign a probability of c for every point inside the region of the circle (including it's boundary).

Now since this is a probability, we need to make sure that integrating the PDF over the entire region gives us 1. Since the PDF is a constant (i.e. c) and does not depend on x or y, we can take it out of the integral.

Now the integral over the region is simply the area of the region. The area of a circle is given by pi*r2 but r = 1 so we just get pi. This means 1 = c*pi since the integral over the whole space must equal 1.

This means by re-arranging, we get c = 1/pi.
 
  • #3
Thank you.
 

Related to Uniform Distribution on unit Circle

1. What is a uniform distribution on a unit circle?

A uniform distribution on a unit circle is a probability distribution where all points on the circle have an equal chance of being selected. This means that the probability of selecting any point on the circle is the same, regardless of its location.

2. How is a uniform distribution on a unit circle different from a uniform distribution on a line?

A uniform distribution on a line has an equal probability of selecting any point along the line, while a uniform distribution on a unit circle has an equal probability of selecting any point on the perimeter of the circle. This means that the probability density function for a uniform distribution on a unit circle is constant, while for a uniform distribution on a line it is linear.

3. What is the equation for a uniform distribution on a unit circle?

The equation for a uniform distribution on a unit circle is f(x,y) = 1/π, where (x,y) represents a point on the circle and π is the constant pi.

4. How is a uniform distribution on a unit circle used in statistics?

A uniform distribution on a unit circle is used in statistics to model random processes where all outcomes are equally likely. It can also be used to generate random points on a circle for simulations and experiments.

5. What are some real-life examples of a uniform distribution on a unit circle?

Some real-life examples of a uniform distribution on a unit circle include the distribution of points on a circular dartboard, the distribution of animal foraging locations on a circular territory, and the distribution of stars in a circular galaxy.

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