production module
AutoSamplingTheory.TechnicalLemmas.Measure.OptimalContinuousCost
Read the mathematical statements and proofs in order
1 named declarations scanned from AutoSamplingTheory/TechnicalLemmas/Measure/OptimalContinuousCost.lean.
Declarations
theorem AutoSamplingTheory.TechnicalLemmas.Measure.OptimalContinuousCost.exists_optimal_coupling Partial Not mapped
Read the complete mathematical statement and proof, with Lean below each
- A continuous nonnegative cost attains its actual infimum over couplings of probabilities on complete second-countable metric Borel spaces. The minimum may be infinite; no finite moment or optimizer is assumed.
theorem exists_optimal_coupling {E F : Type*}
[MetricSpace E] [CompleteSpace E] [SecondCountableTopology E]
[MeasurableSpace E] [BorelSpace E]
[MetricSpace F] [CompleteSpace F] [SecondCountableTopology F]
[MeasurableSpace F] [BorelSpace F]
(μ : Measure E) (ν : Measure F) [IsProbabilityMeasure μ] [IsProbabilityMeasure ν]
(c : E × F → ℝ≥0) (hc : Continuous c) :
∃ γ : Measure (E × F), IsProbabilityMeasure γ ∧ Transport.IsCoupling γ μ ν ∧
(∫⁻ z, (c z : ℝ≥0∞) ∂γ) = Transport.transportCost (fun z => (c z : ℝ≥0∞)) μ ν := by
let P : ProbabilityMeasure E := ⟨μ,inferInstance⟩
let Q : ProbabilityMeasure F := ⟨ν,inferInstance⟩
have hn : (probabilityCouplingSet P Q).Nonempty := by
refine ⟨⟨μ.prod ν,inferInstance⟩, ?_⟩
exact isProbabilityCoupling_iff_isCoupling_toMeasure.mpr (Transport.isCoupling_prod μ ν)
have hcompact := isCompact_probabilityCouplingSet P Q
have hlsc := ContinuousCostWeakLowerSemicontinuity.lowerSemicontinuous_lintegral_continuous_nnreal c hc
obtain ⟨γ,hγ,hmin⟩ := LowerSemicontinuousOn.exists_isMinOn hn hcompact (hlsc.lowerSemicontinuousOn _)
have hγ' : Transport.IsCoupling (γ : Measure (E × F)) μ ν :=
isProbabilityCoupling_iff_isCoupling_toMeasure.mp hγ
refine ⟨γ,inferInstance,hγ',le_antisymm ?_ ?_⟩
· rw [Transport.transportCost_eq_sInf]
apply le_sInf
rintro r ⟨ρ,hρ,rfl⟩
let : IsProbabilityMeasure ρ := Transport.isProbabilityMeasure_of_isCoupling_left hρ
let R : ProbabilityMeasure (E × F) := ⟨ρ,inferInstance⟩
have hR : IsProbabilityCoupling R P Q := isProbabilityCoupling_iff_isCoupling_toMeasure.mpr hρ
exact hmin hR
· exact Transport.transportCost_le_lintegral_of_isCoupling _ μ ν γ hγ'
end AutoSamplingTheory.TechnicalLemmas.Measure.OptimalContinuousCost
AutoSamplingTheory/TechnicalLemmas/Measure/OptimalContinuousCost.lean:14published source at 0e31a3cda412