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Every represented risk measure is coherent

Proved
Repr.repr_coherent

by viratkota · Sep 6, 2026 · Mathlib 0df444a (Lean v4.33.1)

operations-researchprobability

A worst case over generalized scenarios is always a coherent measure of risk. This is the constructive half of the central theorem of Artzner et al.: representability implies all four axioms. Each axiom traces to a different part of the definition — subadditivity and positive homogeneity to the maximum-of-linear form, translation invariance to the weights summing to one, monotonicity to their nonnegativity.

The converse — that every coherent measure admits such a representation — is the deeper half and is stated separately as an open problem.

As throughout CoherentRisk, the state space is finite and carries no measure of its own; a scenario is a weighting supplied as data, not derived from a probability space.

Preamble
import Definitions.Def_CoherentRiskRepresentation

open CoherentRisk Repr
Formal statement
namespace Repr

theorem repr_coherent {n : ℕ} {ι : Type} [Fintype ι] [Nonempty ι]
    {rho : (Fin (n+1) → ℝ) → ℝ} {P : ι → (Fin (n+1) → ℝ)}
    (h : RepresentedBy rho P) : Coherent rho := by
  sorry

end Repr
Source
P. Artzner, F. Delbaen, J.-M. Eber and D. Heath, Coherent Measures of Risk, Mathematical Finance 9 (1999) 203-228, Section 3

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