Uniform distribution of a disc

In summary, the conversation discusses finding the marginal pdfs of x and y for a disc of radius 1 in the plane D in R, represented by the set D = {(x,y) in R | x^2+y^2 <= 1}. The joint pdf is given as 1/Pi and the process for finding the marginal pdfs involves integrating out the other variable, using the unit circle to determine the limits of integration. The final solution is represented by a= -sqrt(1-x^2) and b= sqrt(1-x^2).
  • #1
mathmathmad
50
0

Homework Statement



Consider a disc of radius 1 in the plane D in R
D = {(x,y) in R | x^2+y^2 <= 1}
write the marginal pdf of x and y

Homework Equations


The Attempt at a Solution


so the joint pdf is 1/Pi for x^2 + y^2 <= 1 <- correct?
but how to I get the marginal pdfs?
 
Last edited:
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  • #2
You have

[tex]
f(x,y) = \frac 1 \pi
[/tex]
as the joint density. As in every case the marginal density of one variable is found by integrating out the other. Suppose you want the marginal density of [tex] x [/tex] - you need to integrate out y.

[tex]
g(x) = \int_a^b \frac 1 \pi \, dy
[/tex]

The question is: what should you use for the limits [tex] a [/tex] and [tex] b [/tex]?
Draw the unit circle and see the set of y-values that are possible when x is fixed.
 
  • #3
a=0
b=sqrt (1 - x^2) ?
 
  • #4
mathmathmad said:
a=0
b=sqrt (1 - x^2) ?

Try again. Did you draw the picture?
 
  • #5
a = - sqrt (1 - x^2)
b = sqrt (1 - x^2)

or should it be -1 to 1
 

Related to Uniform distribution of a disc

1. What is a uniform distribution of a disc?

A uniform distribution of a disc refers to a probability distribution where all points on the disc are equally likely to be chosen. This means that there is no clustering of points and all regions have the same chance of being selected.

2. How is a uniform distribution of a disc different from a normal distribution?

A normal distribution is a bell-shaped curve that describes a continuous random variable. Unlike a uniform distribution, the points in a normal distribution are not equally likely to be chosen and there is a higher probability of selecting points near the mean of the distribution.

3. What is the formula for calculating the probability of a point in a uniform distribution of a disc?

The probability of a point in a uniform distribution of a disc can be calculated by dividing the area of the chosen region by the total area of the disc. This formula is P(A) = A/πr², where A is the area of the chosen region and r is the radius of the disc.

4. How is a uniform distribution of a disc used in scientific research?

A uniform distribution of a disc is commonly used in simulations and modeling in various scientific fields such as physics, mathematics, and computer science. It can also be used in experiments to ensure equal representation of data points and to test hypotheses.

5. Can a disc have a non-uniform distribution?

Yes, a disc can have a non-uniform distribution. This can occur when there are external factors influencing the distribution, such as physical barriers or different probabilities assigned to different regions of the disc. In these cases, the points are not equally likely to be chosen and the distribution is not considered uniform.

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