openAI-math-dataset / lean /OAI /Geometry /RCD /Transport /BoundedCouplingDual.lean
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import OAI.Geometry.RCD.Sobolev.BoundedLocalRepresentative
import OAI.Geometry.RCD.Metric.EuclideanPairCost
namespace OAI
/-! # Optimality from local dual potentials on bounded endpoint supports -/
open Set Filter MeasureTheory Metric
open scoped Topology BoundedContinuousFunction NNReal
noncomputable section
namespace RegularPointCoordinates
theorem bounded_pair_cost_integrable {n : ℕ} {B : ℝ} (hB : 0≤B)
(π : Measure (Euclidean n × Euclidean n)) [IsFiniteMeasure π]
(hb : ∀ᵐ z ∂π, z∈closedBall (0:Euclidean n) B ×ˢ closedBall (0:Euclidean n) B) :
Integrable (fun z => dist z.1 z.2^2) π := by
apply ((boundedPairCost B).integrable π).congr
filter_upwards [hb] with z hz
exact boundedPairCost_eq hB hz.1 hz.2
theorem bounded_pair_transportCost {n : ℕ} {B : ℝ} (hB : 0≤B)
(π : Measure (Euclidean n × Euclidean n)) [IsFiniteMeasure π]
(hb : ∀ᵐ z ∂π, z∈closedBall (0:Euclidean n) B ×ˢ closedBall (0:Euclidean n) B) :
transportCost π=ENNReal.ofReal (∫ z, dist z.1 z.2^2 ∂π) := by
rw [ofReal_integral_eq_lintegral_ofReal (bounded_pair_cost_integrable hB π hb)
(Eventually.of_forall fun _ => sq_nonneg _)]
simp only [transportCost,ENNReal.ofReal_pow dist_nonneg]
/-- Dual feasibility is needed only on the support of the endpoint marginals. -/
theorem bounded_coupling_optimal_of_dual {n : ℕ} {B : ℝ} (hB : 0≤B)
(Q : ProbabilityMeasure (Euclidean n × Euclidean n))
(hQ : ∀ᵐ z ∂(Q : Measure (Euclidean n × Euclidean n)),
z∈closedBall (0:Euclidean n) B ×ˢ closedBall (0:Euclidean n) B)
{f g : Euclidean n → ℝ} {L M : ℝ≥0}
(hf : LipschitzWith L f) (hg : LipschitzWith M g)
(had : ∀ x∈closedBall 0 B, ∀ y∈closedBall 0 B, f x+g y≤dist x y^2/2)
(hc : (∫ z, f z.1+g z.2 ∂(Q : Measure (Euclidean n × Euclidean n)))=
(∫ z, dist z.1 z.2^2 ∂(Q : Measure (Euclidean n × Euclidean n)))/2) :
IsOptimalCoupling ((Q : Measure (Euclidean n × Euclidean n)).map Prod.fst)
((Q : Measure (Euclidean n × Euclidean n)).map Prod.snd) Q := by
obtain ⟨F,hF⟩ := bounded_local_representative hB hf.lipschitzOnWith
obtain ⟨G,hG⟩ := bounded_local_representative hB hg.lipschitzOnWith
let H : (Euclidean n × Euclidean n) →ᵇ ℝ :=
F.compContinuous ⟨Prod.fst,continuous_fst⟩+G.compContinuous ⟨Prod.snd,continuous_snd⟩
have hsep (τ : Measure (Euclidean n × Euclidean n)) [IsFiniteMeasure τ] :
(∫ z, H z ∂τ)=(∫ x, F x ∂τ.map Prod.fst)+(∫ y, G y ∂τ.map Prod.snd) := by
have hFi : Integrable (fun z : Euclidean n × Euclidean n => F z.1) τ :=
(F.compContinuous ⟨Prod.fst,continuous_fst⟩).integrable τ
have hGi : Integrable (fun z : Euclidean n × Euclidean n => G z.2) τ :=
(G.compContinuous ⟨Prod.snd,continuous_snd⟩).integrable τ
calc
(∫ z, H z ∂τ)=(∫ z, F z.1 ∂τ)+(∫ z, G z.2 ∂τ) := integral_add hFi hGi
_ = _ := by
rw [integral_map measurable_fst.aemeasurable F.continuous.aestronglyMeasurable,
integral_map measurable_snd.aemeasurable G.continuous.aestronglyMeasurable]
have hHQ : (∫ z, H z ∂(Q : Measure (Euclidean n × Euclidean n)))=
(∫ z, dist z.1 z.2^2 ∂(Q : Measure (Euclidean n × Euclidean n)))/2 := by
rw [← hc]
apply integral_congr_ae
filter_upwards [hQ] with z hz
exact congrArg₂ (·+·) (hF hz.1) (hG hz.2)
refine ⟨rfl,rfl,?_⟩
intro π hfst hsnd
let : IsProbabilityMeasure π := coupling_probability_of_fst hfst
have hfQ : ∀ᵐ x ∂(Q : Measure (Euclidean n × Euclidean n)).map Prod.fst,
x∈closedBall (0:Euclidean n) B :=
(ae_map_iff measurable_fst.aemeasurable measurableSet_closedBall).mpr
(hQ.mono fun _ hz => hz.1)
have hgQ : ∀ᵐ x ∂(Q : Measure (Euclidean n × Euclidean n)).map Prod.snd,
x∈closedBall (0:Euclidean n) B :=
(ae_map_iff measurable_snd.aemeasurable measurableSet_closedBall).mpr
(hQ.mono fun _ hz => hz.2)
have hπ : ∀ᵐ z ∂π, z∈closedBall (0:Euclidean n) B ×ˢ closedBall (0:Euclidean n) B := by
have hh0 := ae_of_ae_map measurable_fst.aemeasurable (hfst.symm ▸ hfQ)
have hh1 := ae_of_ae_map measurable_snd.aemeasurable (hsnd.symm ▸ hgQ)
exact hh0.and hh1
have heq : (∫ z, H z ∂(Q : Measure (Euclidean n × Euclidean n)))=∫ z, H z ∂π := by
rw [hsep,hsep,hfst,hsnd]
have hle : (∫ z, H z ∂π)≤(∫ z, dist z.1 z.2^2 ∂π)/2 := by
rw [← integral_div]
apply integral_mono_ae (H.integrable π) ((bounded_pair_cost_integrable hB π hπ).div_const 2)
filter_upwards [hπ] with z hz
change F z.1+G z.2≤_
rw [hF hz.1,hG hz.2]
exact had _ hz.1 _ hz.2
rw [bounded_pair_transportCost hB _ hQ,bounded_pair_transportCost hB π hπ]
apply ENNReal.ofReal_le_ofReal
rw [← heq,hHQ] at hle
linarith
end RegularPointCoordinates
end
end OAI