An action distribution is information-rationalizable for a given utility and prior exactly when the prior lies in a weighted sum of optimal-belief polytopes, with sharp finite-inequality tests in three-state, affine-difference, and two-step cases.
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An action distribution is information-rationalizable for a given utility and prior exactly when the prior lies in a weighted sum of optimal-belief polytopes, with sharp finite-inequality tests in three-state, affine-difference, and two-step cases.