Discrete Stochastic Processes and Optimal Filtering

Let X be an r.v. of distribution function
Calculate the probabilities:
Given the random vector Z = ( X, Y) of probability density
where K is a real constant and where
, determine the constant K and the densities f X and f Y of the r.v. X and Y.
Let X and Y be two independent random variables of uniform density on the interval [0,1]:
Determine the probability density f Z of the r.v. Z = X + Y;
Determine the probability density f U of the r.v. U = X Y.
Let X and Y be two independent r.v. of uniform density on the interval [0,1].
Determine the probability density f U of the r.v. U = X Y.
Solution 1.4.

U takes its values in [0,1]
Let F U be the distribution function of U:
if u ? 0 F U ( u) = 0; if u ? 1 F U( u) = 1;
if u ?]0,1[: F U ( u) = P ( U ? u) = P( X Y ? u) = P(( X, Y) ? B u);
where B u = A ? B