Joint Probability functions (finding marginals)

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SUMMARY

The forum discussion focuses on calculating marginal distributions and probabilities using the joint probability function defined as f(x,y) = 1/y for 0 ≤ x ≤ y ≤ 1. The user attempts to find the marginal distribution of X and encounters issues with the natural logarithm of zero during integration. Additionally, they seek assistance in calculating Pr(X + Y > 0.5) and are advised to reconsider their integration limits due to the non-zero condition of f(X,Y) within a defined triangular region.

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Homework Statement


f\left(x,y\right)=\left\{\begin{array}{cc}\frac{1}{y} ,&amp;\mbox{ if }<br /> 0 \leq x \leq y, 0 \leq y \leq 1 \\ 0,&amp;mbox{ otherwise } \end{array}\right.

Find the marginal distributions (pdf and cdf) of X and Y

Find Pr(X+Y>0.5)

Homework Equations


N/A

The Attempt at a Solution



Finding the marginal distribution of X, I get,

f_X(x) = \int_{0}^{1} \frac{1}{y} dx
f_X(x) = ln \left(y\right)\right|_0^1

But ln (0) does not exist, and ln (1) = 0... so I'm thinking I'm doing this wrong.

Also, with the second part of the problem, I get:
Pr(X+Y \geq 0.5)=1- \left[0.5 ln \left(y\right) - y\right]_0^1

And as before, I'm stuck with an ln(0).. any assistance would be appreciated :)!
 
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note that f_{X,Y}(x,y) [\itex] is only non-zero for the triangle given by x = 0, y= 1 &amp; y=x<br /> <br /> so you may need to rethink your integration limits...
 

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