The law of iterated expectations
Problem
If X and Y are two random vectors then E(Y∣X) is a new random vector of the same dimension as Y . The law of iterated expectations states that if you take the expectation of the random vector E(Y∣X) you get the unconditional expectation E(Y) ,
E(E(Y∣X))=E(Y)
Show that
E(Y∣X)=0⟹E(Y)=0
Note that the opposite is not true.
Solution
E(Y)=E(E(Y∣X))=E(0)=0