Jensen's inequality states that for a convex function f, E[f(x)] = f(E[X]). (a) Prove Jensen's inequality (b)
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Jensen's inequality states that for a convex function
f, E[f(x)] = f(E[X]).
(a) Prove Jensen's inequality
(b) If X has mean E[X], show that X E[X], where E[X] is the constant random variable.
(c) Suppose that there exists a random variable Z such that E[ZIY] = O and such that X has the same distribution as Y + Z. Show that X, Y. In fact, it can be shown (though the other direction is difficult to prove) that this is a necessary and sufficient condition for X Z, Y.
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