How Do You Find the PDF of Z=X+Y When X and Y Are Not Independent?

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The discussion focuses on finding the probability density function (PDF) of the random variable Z = X + Y, where X and Y are not independent. The joint PDF is given as f(x,y) = (1/x) for the range 0 ≤ y ≤ x ≤ 1. The approach involves calculating the cumulative distribution function (CDF) F(z) using double integration, but the user encounters convergence issues, indicating that f(x,y) may not be a valid PDF.

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f(x,y) = (1/x) for 0≤y≤x≤1

A new rv Z=X+Y where X,Y not independent find the pdf of z

My approach

F(z) = P(Z≤z) = ∫∫fXY(x,y) dx dy x= -∞ to ∞ y= 0 to z-y

f(z) = d/dz(F(z)) = ∫fXY(z-y,y) dy y= -∞ to ∞ (using Leibnitz)

where i am stuck is this doesn't converge
 
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(this thread belongs in the homework forums)

f(x,y) might not be a valid pdf
 

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