For a probability measure, an integrable function with values in an open interval has its integral in that interval, and a convex function of the integral is at most the integral of the convex function, when the latter is integrable.
In the setting of Measurable Functions and the Lebesgue Integral: Standing Notation, let be a measure space with a probability measure. Let be an interval that is an open subset of (Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces (iv)). Let with for every , let be convex on , and suppose that the function , , lies in .
The mean lies in . .
Jensen's inequality.
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