a) Suppose Xt is a random process which is second-order stationary. Show that it is also stationary of order 1.
b) Show that if X and Y are independent then they are also uncorrelated.
c) If events A and B are disjoint then they are also independent. True or False?
d) If X and Y are jointly Gaussian then Z = root(x^2 + y^2) is also Gaussian. True or False?
f) If Pxy = 1 then y = ax + b for some a > 0. True or False?
(a) The first order stationary random process has the following feature:
E[Xt]=mu for all t ----> mean is time independent.
The second order stationary random process has the following features:
E[Xt]=mu for all t
E[Xt^2]=mu2 for all t ----> mean and varaince are time independent.
Cov[Xt, Xs] is only a function of t-s.
Ok, compare these two ...
Solution contains true false answers and full explanations.