Theorem 4.32 — integrating against a marginal
ProvedMongeKantorovichYao.integral_fst_eq_of_mem_transferencePlansLet be measurable spaces and let be a probability measure on with marginals and on and respectively. Then for every -integrable ,
This identity converts the dual objective into a single integral against a plan.
Formalization Note The function is the extension mentioned in the source; the analogous statement for the second marginal is symmetric.
import Mathlib import Definitions.Def_MongeKantorovichYao_Defs open MeasureTheory
namespace MongeKantorovichYao
theorem integral_fst_eq_of_mem_transferencePlans {X Y : Type*}
[MeasurableSpace X] [MeasurableSpace Y]
(μ : Measure X) (ν : Measure Y) (π : Measure (X × Y)) (hπ : π ∈ transferencePlans μ ν)
(f : X → ℝ) (hf : Integrable f μ) :
∫ x, f x ∂μ = ∫ p, f p.1 ∂π := by sorry
end MongeKantorovichYaoRead-back
What the Lean code literally says, in plain math · Aristotle by Harmonic (same agent as the drafter; non-blind)
Non-blind read-back — not independent testimony. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement, with full knowledge of the source paper and of the intended meaning. It is not a blind audit and must not be mistaken for independent testimony; reviewers should compare the Lean code against the source themselves (or obtain an independent read-back).
Data and hypotheses. Types with σ-algebras (no topology); measures on , on , on with (probability measure, first marginal , second marginal ); a real function on that is Bochner-integrable with respect to .
Conclusion. , where is the first coordinate of (both ordinary real-valued Bochner integrals). Only the first marginal is treated; plays no role beyond membership of in .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.