Final answer:
To find the conditional probability density function (pdf) of X given Y, we need to use the joint density function and the marginal pdf of Y. We can then substitute these into the formula to find fX|Y(x,y).
Step-by-step explanation:
Joint Density Function
To find the conditional probability density function (pdf) of X given Y, we need to use the formula:
fX|Y(x,y) = f(x,y) / fY(y)
In this case, f(x,y) = 4xe^(-x(y+4)). The marginal pdf of Y, fY(y), can be found by integrating f(x,y) with respect to x, from 0 to infinity. Once we have fY(y), we can substitute it into the formula to find fX|Y(x,y).
Solution
To find fY(y), we integrate f(x,y) with respect to x:
fY(y) = ∫(from 0 to infinity) 4xe^(-x(y+4)) dx
This integral can be evaluated using integration techniques. Once we have fY(y), we substitute it into the formula to find fX|Y(x,y).