How do I calculate an area of joint uniform distribution with domain

Click For Summary
SUMMARY

The discussion centers on calculating the area of a joint uniform distribution for two components, T1 and T2, constrained by the conditions 0 < T1 < T2 < L, where L is a positive constant. The area of the defined triangular region is established as (L^2)/2, confirming that the uniform density must sum to one over this region. The density function is derived as 1/(((L^2)/2) - 1), with A representing the area. The conversation also touches on extending the concept to three dimensions, suggesting that the area calculation would evolve into a volume calculation using integration.

PREREQUISITES
  • Understanding of joint probability distributions
  • Familiarity with uniform density functions
  • Basic knowledge of integration in multiple dimensions
  • Concept of triangular regions in coordinate geometry
NEXT STEPS
  • Explore the derivation of joint uniform distributions in two dimensions
  • Learn about calculating volumes of joint distributions in three dimensions
  • Study integration techniques for multi-variable functions
  • Investigate the implications of conditional probabilities in joint distributions
USEFUL FOR

Statisticians, data scientists, and mathematicians interested in joint distributions, as well as students studying probability theory and its applications in real-world scenarios.

mattclgn
Messages
19
Reaction score
0
This technically isn't a coursework or homework problem:

I have a uniform Joint density function for the lifetimes of two components, let's call them T1 and T2. They have a uniform joint density function, both are positive it follows, and the region is 0<t1<t2<L and L is some positive constant.

So it said the domain has area (L^2)/2 following from this, Density is 1/(((L^2)/2)-1) or uniform density. I have no idea how to get that and area. Can someone help explain? I think I get that since joint I treat one as y and other x i multiply both densities but not really sure.
 
Physics news on Phys.org
From that fact that 0 < T1 < T2 < L, this defines a triangular region (let T1 = x, T2 = y) that is half a L x L square. So the area of this region is L^2/2.
The density is uniform, and must sum to one over the region.

The density you posted ##\frac{ 1}{ \frac{L^2}{2} -1} = \frac { \frac1A}{ 1 - \frac 1A }. ## where A = L^2/2, the area of the region.

I know that this is related to the condition that x < y, but I will need to look into it a little bit more to explain why.
 
  • Like
Likes   Reactions: mattclgn
RUber said:
From that fact that 0 < T1 < T2 < L, this defines a triangular region (let T1 = x, T2 = y) that is half a L x L square. So the area of this region is L^2/2.
The density is uniform, and must sum to one over the region.

The density you posted ##\frac{ 1}{ \frac{L^2}{2} -1} = \frac { \frac1A}{ 1 - \frac 1A }. ## where A = L^2/2, the area of the region.

I know that this is related to the condition that x < y, but I will need to look into it a little bit more to explain why.
Awesome, thank you, and i apologize for the lateness of this reply...so by that rationale if it was 0 < T1 < T2 <T3< L, do I divide by three?
 
mattclgn said:
Awesome, thank you, and i apologize for the lateness of this reply...so by that rationale if it was 0 < T1 < T2 <T3< L, do I divide by three?
You will be in a 3D space, so you would expect L^3 divided by something. Drawing it out helps, but may lead to the wrong guess for the fraction of the cube in your feasible region.
You can also integrate to see the volume of the 3D shape.
##\int_0^L\int_0^{T3}\int_0^{T2} 1 dT1 dT2 dT3##
Note that if you did the same integral in xy, you get L^2/2.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 43 ·
2
Replies
43
Views
5K
Replies
2
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K