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Jensen's inequality

For a convex function g, E[g(X)] is at least g(E[X]); the inequality reverses for concave g.

If $g$ is convex, $E[g(X)] \geq g(E[X])$ . If $g$ is concave, $E[g(X)] \leq g(E[X])$ .