Joint pdf/marginal/expectation related

  • Thread starter Thread starter markov4
  • Start date Start date
  • Tags Tags
    Joint
Click For Summary
SUMMARY

The discussion focuses on determining the joint probability density function (pdf) of two random variables, X and Y, within a triangular area. The participants clarify that the joint pdf must integrate to one and relate it to the area of the triangle, expressed as A = (1/2) * b * h. They conclude that the joint pdf should be defined as f_{X,Y}(x,y) = 1/A within the triangle and zero outside, ensuring proper normalization. The conversation emphasizes the importance of setting up the double integral correctly to reflect the uniform probability distribution over the triangular area.

PREREQUISITES
  • Understanding of joint probability density functions (pdf)
  • Familiarity with double integrals in calculus
  • Knowledge of geometric properties of triangles
  • Basic concepts of probability normalization
NEXT STEPS
  • Study the derivation of joint pdfs in multivariable calculus
  • Learn about uniform distributions and their properties
  • Explore the application of double integrals in probability theory
  • Investigate normalization techniques for probability density functions
USEFUL FOR

Students and professionals in statistics, mathematics, and data science who are working with joint probability distributions and require a solid understanding of integrating functions over geometric shapes.

markov4
Messages
9
Reaction score
0

Homework Statement


29v1637.jpg



Homework Equations


Well i know the double integral formula for the joint pdf


The Attempt at a Solution


So firstly we're told to find the joint pdf of X and Y. I'm not sure where to begin. So how do we find the function that we take the double integral over? I'm suspecting 1/2*b*h will be used and I know the joint pdf must equal 1, so do we equate this somehow to the formula for the area of a triangle? Could someone just point me in the right direction please? I suspect my bounds will be 0->1 and 0->x right? Or instead of the second one, 0->1-x ?

Thanks in advance!
 
Physics news on Phys.org
so as there is uniform probability the area of any subset of the triangle will be directly proportional to the

say the area is A = (1/2).b.h

then the integral over the whole triangle
\int \int dxdy f_{X,Y}(x,y) = 1

The integrand is joint pdf f_{X,Y}(x,y) = f_{X,Y}(X=x,y=y)

f_{X,Y}(x,y) dx dy is the probability of finding X between x & x+dx and Y between y &y+dy

dxdy represents an area element. Knowing that and using the comments bove regrading the relation of probability and area, what can you say about f_{X,Y}(x,y)?
 
the bounds you have said look close, try setting up the whole double integral for the area of the triangle & i'll have a look at it, here's some latex code to help below (click on it)

A = \int_{a}^{b} dx \int_{f(x)}^{g(x)} dy
 
Last edited:
lanedance said:
dxdy represents an area element. Knowing that and using the comments bove regrading the relation of probability and area, what can you say about f_{X,Y}(x,y)?
So knowing that the area of a triangle is (1/2)*b*h, and knowing that our joint pdf must integrate to one and it also incorporates the area under a triangle..then wouldn't f_{X,Y}(x,y) be equal to (1/2)*b*h <--as in that's the function we take the double integral over, to get it to equal one? Where b=x and h=y (?).

That or we just set the LHS of the double integral formula equal to our equation for the area of the triangle, and find the integrals of dx and dy on the right side, then substitute through for b and h? Although i think the first way i described it makes more sense.
 
not quite... if the area of the trangle is A = (1/2)*b*h, and you let the joint pdf be constant equal to f_{X,Y}(x,y) = A within the triangle, zero outside

then if you integrate over the triangle
\int \int dx dy f_{X,Y}(x,y) = \int \int dx dy A = A \int \int dx dy = A(A) = A^2
which is not equal to one


so you actually need f_{X,Y}(x,y) = \frac{1}{A} within the triangle, and zero outside. This normalises the joint pdf correctly. The joint pdf is a constant function as the probability of picking any point in the triangle is uniform.
 
I think i see now..thanks!
 

Similar threads

Replies
11
Views
3K
Replies
7
Views
1K
  • · Replies 3 ·
Replies
3
Views
1K
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
6
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K