production module
AutoSamplingTheory.TechnicalLemmas.Measure.QuadraticOptimalUniqueness
2 named declarations scanned from AutoSamplingTheory/TechnicalLemmas/Measure/QuadraticOptimalUniqueness.lean.
Declarations
theorem AutoSamplingTheory.TechnicalLemmas.Measure.QuadraticOptimalUniqueness.eq_of_quadraticOptimal Partial Not mapped
- Two quadratic-optimal couplings with the same marginals are equal when the first marginal is absolutely continuous and both marginals have finite second moments.
theorem eq_of_quadraticOptimal
{gamma₀ gamma₁ : Measure (E × E)} {mu₀ mu₁ : Measure E}
[IsProbabilityMeasure mu₀]
(h₀ : IsQuadraticOptimalCoupling gamma₀ mu₀ mu₁)
(h₁ : IsQuadraticOptimalCoupling gamma₁ mu₀ mu₁)
(hmu₀ac : mu₀ ≪ (volume : Measure E))
(hmu₀ : Integrable (fun x : E => ‖x‖ ^ 2) mu₀)
(hmu₁ : Integrable (fun y : E => ‖y‖ ^ 2) mu₁) :
gamma₀ = gamma₁ := by
have hmid :
IsQuadraticOptimalCoupling (midpointMeasure gamma₀ gamma₁) mu₀ mu₁ :=
isQuadraticOptimalCoupling_midpoint h₀ h₁
letI : IsProbabilityMeasure (midpointMeasure gamma₀ gamma₁) :=
isProbabilityMeasure_of_isCoupling_left hmid.1
have hmid_ne : midpointMeasure gamma₀ gamma₁ ≠ 0 := by
intro hzero
have hmass : midpointMeasure gamma₀ gamma₁ Set.univ = 1 := measure_univ
simpa [hzero] using hmass
rcases Measure.nonempty_support hmid_ne with ⟨base, hbase⟩
let T : E → E :=
gradient
(finitePart
(properRockafellarPotential base (midpointMeasure gamma₀ gamma₁).support))
have hmidGraph :
∀ᵐ z ∂midpointMeasure gamma₀ gamma₁, z.2 = T z.1 := by
simpa [T] using
(ae_snd_eq_gradient_of_quadraticOptimal_of_base
hmid hmu₀ac hmu₀ hmu₁ hbase)
have hhalf : (2 : ℝ≥0∞)⁻¹ ≠ 0 := by
norm_num
have hgamma₀Graph : ∀ᵐ z ∂gamma₀, z.2 = T z.1 := by
apply ae_of_ae_smul_add_left
(μ := gamma₀) (ν := (2 : ℝ≥0∞)⁻¹ • gamma₁) hhalf
simpa [midpointMeasure] using hmidGraph
have hgamma₁Graph : ∀ᵐ z ∂gamma₁, z.2 = T z.1 := by
apply ae_of_ae_add_smul_right
(μ := (2 : ℝ≥0∞)⁻¹ • gamma₀) (ν := gamma₁) hhalf
simpa [midpointMeasure] using hmidGraph
have hT : Measurable T := by
dsimp [T]
exact measurable_gradient _
calc
gamma₀ = Measure.map (fun x : E => (x, T x)) mu₀ :=
eq_map_graph_of_isCoupling_of_ae_snd_eq h₀.1 hT hgamma₀Graph
-- Source excerpt truncated; follow the exact source link.
AutoSamplingTheory/TechnicalLemmas/Measure/QuadraticOptimalUniqueness.lean:48published source at 0e31a3cda412
Excerpt truncated; the exact source link is authoritative.
theorem AutoSamplingTheory.TechnicalLemmas.Measure.QuadraticOptimalUniqueness.eq_of_quadraticOptimal_p2ac_source Partial Not mapped
- `P₂,ac` wrapper on the source law. The target is deliberately not assumed absolutely continuous; only its finite second moment enters the uniqueness proof.
theorem eq_of_quadraticOptimal_p2ac_source
{gamma₀ gamma₁ : Measure (E × E)} {mu₀ mu₁ : Measure E}
(hmu₀ : IsAbsolutelyContinuousFiniteSecondMoment mu₀)
(hmu₁ : Integrable (fun y : E => ‖y‖ ^ 2) mu₁)
(h₀ : IsQuadraticOptimalCoupling gamma₀ mu₀ mu₁)
(h₁ : IsQuadraticOptimalCoupling gamma₁ mu₀ mu₁) :
gamma₀ = gamma₁ := by
letI : IsProbabilityMeasure mu₀ := hmu₀.1
exact eq_of_quadraticOptimal h₀ h₁ hmu₀.2.1 hmu₀.2.2 hmu₁
end
end QuadraticOptimalUniqueness
end Measure
end TechnicalLemmas
end AutoSamplingTheory
AutoSamplingTheory/TechnicalLemmas/Measure/QuadraticOptimalUniqueness.lean:98published source at 0e31a3cda412