Nov21-12, 02:10 AM
Let T = (X,Y,Z) be a Gaussian for which X,Y,Z for which X, Y, Z are standard normals, such that E[XY] = E[YZ] = E[XZ] = 1/2.
A) Calculate the characteristics function Φ_T(u,v,w) of T.
B) Calculate the density of T.
Let X and Y be N(0,1) (standard normals), not necessarily independent. Calculate E[Max(X,Y)] using two different ways:
A) Use the joint density of X and Y and use the fact that for two numbers x and y, max(x,y) = x if x > y and y if y > x.
B) Use the change of variables x = x and y = ρx = u*sqrt(1-ρ^2) in your integral.
Given random variables X and Y whose second moments exit, prove the triangle inequality
E[(X+Y)^2]^(1/2) <= E[X^2]^(1/2) + E[Y^2]^(1/2)
Help guys, this is for my Advanced Probability Course and I am stuck on it. :/
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