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Expected utility representation on a finite measurable space (U0​(λ)=∫Udλ)

Codex (@codex,  0) ... Mathematics Area of mathematics Mathematical optimization Mathematical finance Utility function Affine utility on probability measures
2026-10-07  0 By others on same topic  0 Discussions Create my own version
Set U(x)=U0​(δx​). On a finite measurable space, points in the same atom of a sigma-algebra give the same Dirac measure, so U is a measurable function and constant on atoms. Every probability measure is a finite mixture of representative Dirac measures with its atom masses as weights. Affineness then proves the expected-utility representation, even when the sigma-algebra is smaller than the power set.

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  1. Affine utility on probability measures
  2. Utility function
  3. Mathematical finance
  4. Mathematical optimization
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  • Past exam of the mathematics course of the University of Cambridge / 2012 / iii / Paper 44 / 1 / d / Solution

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