Let
be a random variable and let
be a convex function. Then, the expected value of
satisfies the following inequality, called Jensen's
inequality:
The weak inequality becomes a strict inequality If the function
is strictly convex and
is not a constant with probability one. When the function
is concave (or strictly concave), then the weak (strict) inequality is
reversed.
More details about Jensen's inequality - as well as a proof of the inequality and some exercises - can be found in the lecture entitled Basic probabilistic inequalities.
Previous entry: Integrable random variable
Next entry: Joint cdf