Nonlinear Information Theory: Characterizing Distributional Uncertainty in Communication Models with Sublinear Expectation

A mathematical framework for information-theoretic analysis is established, with a new viewpoint of describing transmitted messages and communication channels by the nonlinear expectation theory, beyond classical probability framework. Based on nonlinear expectation theory, in this paper we define s