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Add lean source and binary files (part 11)
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import Mathlib
import OAI.Analysis.BiholderTransport.Duality.CompactDual
import OAI.Analysis.BiholderTransport.Regularity.ContinuousClosedRelationSelector
namespace OAI
section
section
noncomputable section
open Set Filter MeasureTheory
open scoped Topology NNReal BoundedContinuousFunction
namespace WeakMTWTransport
section CompactAE
variable {M : Type*} [MetricSpace M] [CompactSpace M] [Nonempty M]
omit [Nonempty M] in
lemma contact_gap_control_at (u v : M →ᵇ ℝ) (x y : M)
(hsingle : ∀ z, contactGap u v x z = 0 → z = y)
(hgap : ∀ z, 0 ≤ contactGap u v x z) (f : M →ᵇ ℝ)
{ε : ℝ} (hε : 0 < ε) :
∃ δ : ℝ, 0 < δ ∧ ∀ z, contactGap u v x z ≤ δ → f y - f z ≤ ε := by
let G : M → ℝ := fun z => contactGap u v x z
let B : Set M := {z | ε ≤ f y - f z}
have hG : Continuous G := (continuous_const.add (continuous_cost_right x)).add v.continuous
have hB : IsCompact B := (isClosed_le continuous_const
(continuous_const.sub f.continuous)).isCompact
by_cases hne : B.Nonempty
· obtain ⟨z,hz,hmin⟩ := hB.exists_isMinOn hne hG.continuousOn
have hpos : 0 < G z := by
apply lt_of_le_of_ne (hgap z)
intro he
have heq := hsingle z he.symm
change ε ≤ f y - f z at hz
rw [heq,sub_self] at hz
exact (not_le.mpr hε) hz
refine ⟨G z / 2,half_pos hpos,?_⟩
intro w hw
by_contra hn
have hm := hmin (le_of_lt (lt_of_not_ge hn))
change G z ≤ contactGap u v x w at hm
linarith
· refine ⟨1,by norm_num,?_⟩
intro z _
by_contra hn
exact hne ⟨z,le_of_lt (lt_of_not_ge hn)⟩
lemma transform_perturbation_upper_at (u v : M →ᵇ ℝ) (x y : M)
(hsingle : ∀ z, contactGap u v x z = 0 → z = y)
(hgap : ∀ z, 0 ≤ contactGap u v x z) (f : M →ᵇ ℝ)
{ε : ℝ} (hε : 0 < ε) :
∃ τ : ℝ, 0 < τ ∧ ∀ t : ℝ, 0 < t → t ≤ τ →
cTransform (fun z => v z + t * f z) x ≤ u x - t * f y + t * ε := by
obtain ⟨δ,hδ,hcontrol⟩ := contact_gap_control_at u v x y hsingle hgap f hε
have hden : 0 < 2 * ‖f‖ + 1 := by positivity
refine ⟨δ / (2 * ‖f‖ + 1),div_pos hδ hden,?_⟩
intro t ht htτ
have htd : t * (2 * ‖f‖ + 1) ≤ δ := (le_div_iff₀ hden).mp htτ
have htbound : t * (2 * ‖f‖) ≤ δ := by nlinarith
rw [cTransform_le_iff (v := fun z => v z + t * f z)
(v.continuous.add (continuous_const.mul f.continuous))]
intro z
have hg := hgap z
have hbound : t * (f y - f z) ≤ contactGap u v x z + t * ε := by
by_cases hs : contactGap u v x z ≤ δ
· have hh := mul_le_mul_of_nonneg_left (hcontrol z hs) ht.le
nlinarith
· have hf1 := BoundedContinuousFunction.norm_coe_le_norm f y
have hf2 := BoundedContinuousFunction.norm_coe_le_norm f z
rw [Real.norm_eq_abs,abs_le] at hf1 hf2
have hw : f y - f z ≤ 2 * ‖f‖ := by linarith [hf1.2,hf2.1]
have hh := mul_le_mul_of_nonneg_left hw ht.le
have hte : 0 ≤ t * ε := mul_nonneg ht.le hε.le
linarith
dsimp [contactGap] at hbound
nlinarith
def transformedDifferenceQuotient (v f : M →ᵇ ℝ) (t : ℝ) : M →ᵇ ℝ :=
t⁻¹ • (boundedCTransform (v + t • f) - boundedCTransform v)
lemma transformedDifferenceQuotient_apply (v f : M →ᵇ ℝ) (t : ℝ) (x : M) :
transformedDifferenceQuotient v f t x =
(cTransform (fun z => v z + t * f z) x - cTransform v x) / t := by
simp only [transformedDifferenceQuotient,BoundedContinuousFunction.smul_apply,
BoundedContinuousFunction.sub_apply,boundedCTransform_apply,smul_eq_mul]
rw [div_eq_mul_inv,mul_comm]
rfl
lemma transformedDifferenceQuotient_norm_le (v f : M →ᵇ ℝ) {t : ℝ} (ht : 0 < t) (x : M) :
‖transformedDifferenceQuotient v f t x‖ ≤ ‖f‖ := by
have hh := boundedCTransform_nonexpansive (M := M) |>.dist_le_mul (v + t • f) v
simp only [NNReal.coe_one,one_mul,dist_eq_norm,add_sub_cancel_left,norm_smul,
Real.norm_eq_abs,abs_of_pos ht] at hh
have hp := BoundedContinuousFunction.norm_coe_le_norm
(boundedCTransform (v + t • f) - boundedCTransform v) x
have hbound := hp.trans hh
rw [transformedDifferenceQuotient,BoundedContinuousFunction.smul_apply,norm_smul,
Real.norm_eq_abs,abs_inv,abs_of_pos ht]
exact (inv_mul_le_iff₀ ht).mpr hbound
lemma transformedDifferenceQuotient_tendsto_at (v f : M →ᵇ ℝ) (x y : M)
(hcontact : contactGap (cTransform v) v x y = 0)
(hsingle : ∀ z, contactGap (cTransform v) v x z = 0 → z = y)
{s : ℕ → ℝ} (hs : ∀ j, 0 < s j) (hlim : Tendsto s atTop (𝓝 0)) :
Tendsto (fun j => transformedDifferenceQuotient v f (s j) x) atTop (𝓝 (-f y)) := by
rw [Metric.tendsto_nhds]
intro ε hε
obtain ⟨τ,hτ,hup⟩ := transform_perturbation_upper_at (boundedCTransform v) v x y
hsingle (cTransform_gap_nonneg v.continuous x) f (half_pos hε)
have hevent : ∀ᶠ j in atTop, s j ≤ τ :=
(hlim.eventually (eventually_lt_nhds hτ)).mono fun _ h => h.le
filter_upwards [hevent] with j hj
rw [transformedDifferenceQuotient_apply,Real.dist_eq,sub_neg_eq_add,abs_lt]
have hu := hup (s j) (hs j) hj
have hl := cTransform_gap_nonneg
(v.continuous.add (continuous_const.mul f.continuous) :
Continuous (fun z => v z + s j * f z)) x y
change cTransform (fun z => v z + s j * f z) x ≤
cTransform v x - s j * f y + s j * (ε/2) at hu
dsimp only [contactGap] at hcontact
change 0 ≤ cTransform (fun z => v z + s j * f z) x + cost x y + (v y + s j * f y) at hl
have hlo : -f y ≤ (cTransform (fun z => v z + s j * f z) x - cTransform v x) / s j := by
apply (le_div_iff₀ (hs j)).mpr
nlinarith
have hhi : (cTransform (fun z => v z + s j * f z) x - cTransform v x) / s j ≤ -f y + ε/2 := by
apply (div_le_iff₀ (hs j)).mpr
nlinarith
constructor <;> linarith
variable [MeasurableSpace M] [BorelSpace M]
lemma dual_minimum_ae_integral_eq (μ ν : Measure M) [IsProbabilityMeasure μ]
[IsProbabilityMeasure ν] (v : M →ᵇ ℝ) (T : M → M)
(hcontact : ∀ x, contactGap (cTransform v) v x (T x) = 0)
(hsingle : ∀ᵐ x ∂μ, ∀ y, contactGap (cTransform v) v x y = 0 → y = T x)
(hmin : ∀ a b : M →ᵇ ℝ, (∀ x y, 0 ≤ contactGap a b x y) →
dualObjective μ ν (boundedCTransform v,v) ≤ dualObjective μ ν (a,b))
(f : M →ᵇ ℝ) : (∫ x, f (T x) ∂μ) = ∫ y, f y ∂ν := by
have hle (f : M →ᵇ ℝ) : (∫ x, f (T x) ∂μ) ≤ ∫ y, f y ∂ν := by
let s : ℕ → ℝ := fun j => 1 / ((j : ℝ) + 1)
have hs (j : ℕ) : 0 < s j := by dsimp [s]; positivity
have hslim : Tendsto s atTop (𝓝 0) := tendsto_one_div_add_atTop_nhds_zero_nat
have hlim : Tendsto (fun j => ∫ x, transformedDifferenceQuotient v f (s j) x ∂μ)
atTop (𝓝 (∫ x, -f (T x) ∂μ)) := by
apply tendsto_integral_of_dominated_convergence (fun _ => ‖f‖)
· intro j
exact (transformedDifferenceQuotient v f (s j)).continuous.aestronglyMeasurable
· exact integrable_const _
· intro j
exact Eventually.of_forall (transformedDifferenceQuotient_norm_le v f (hs j))
· filter_upwards [hsingle] with x hx
exact transformedDifferenceQuotient_tendsto_at v f x (T x) (hcontact x) hx hs hslim
have hineq (j : ℕ) : -(∫ y, f y ∂ν) ≤
∫ x, transformedDifferenceQuotient v f (s j) x ∂μ := by
let a := boundedCTransform (v + s j • f)
let b : M →ᵇ ℝ := v + s j • f
have hi := hmin a b (cTransform_gap_nonneg b.continuous)
have hb : (∫ y, b y ∂ν) = (∫ y, v y ∂ν) + s j * ∫ y, f y ∂ν := by
change (∫ y, v y + s j * f y ∂ν) = _
rw [integral_add (v.integrable ν) ((f.integrable ν).const_mul (s j)),
integral_const_mul]
have hq : (∫ x, transformedDifferenceQuotient v f (s j) x ∂μ) =
((∫ x, a x ∂μ) - (∫ x, boundedCTransform v x ∂μ)) / s j := by
change (∫ x, (s j)⁻¹ * (a x - boundedCTransform v x) ∂μ) = _
rw [integral_const_mul,integral_sub (a.integrable μ) ((boundedCTransform v).integrable μ)]
rw [div_eq_mul_inv,mul_comm]
rw [hq]
apply (le_div_iff₀ (hs j)).mpr
change (∫ x, boundedCTransform v x ∂μ) + (∫ y, v y ∂ν) ≤
(∫ x, a x ∂μ) + (∫ y, b y ∂ν) at hi
rw [hb] at hi
nlinarith
have hbound := ge_of_tendsto' hlim hineq
rw [integral_neg] at hbound
linarith
apply le_antisymm (hle f)
have hneg := hle (-f)
simp only [BoundedContinuousFunction.neg_apply,integral_neg] at hneg
linarith
omit [CompactSpace M] [Nonempty M] [MeasurableSpace M] [BorelSpace M] in
lemma cost_contact_relation_isClosed (u v : M →ᵇ ℝ) :
IsClosed {z : M × M | contactGap u v z.1 z.2 = 0} := by
apply isClosed_eq _ continuous_const
exact ((u.continuous.comp continuous_fst).add
(((continuous_fst.dist continuous_snd).pow 2).div_const 2)).add
(v.continuous.comp continuous_snd)
lemma dual_minimum_ae_pushforward (μ ν : Measure M) [IsProbabilityMeasure μ]
[IsProbabilityMeasure ν] (v : M →ᵇ ℝ) (T : M → M)
(hcontact : ∀ x, contactGap (cTransform v) v x (T x) = 0)
(hsingle : ∀ᵐ x ∂μ, ∀ y, contactGap (cTransform v) v x y = 0 → y = T x)
(hmin : ∀ a b : M →ᵇ ℝ, (∀ x y, 0 ≤ contactGap a b x y) →
dualObjective μ ν (boundedCTransform v,v) ≤ dualObjective μ ν (a,b)) :
AEMeasurable T μ ∧ Measure.map T μ = ν := by
have hT : AEMeasurable T μ := aemeasurable_closed_relation_selector
(cost_contact_relation_isClosed (boundedCTransform v) v) hcontact hsingle
refine ⟨hT,?_⟩
apply ext_of_forall_integral_eq_of_IsFiniteMeasure
intro f
rw [integral_map hT f.continuous.aestronglyMeasurable]
exact dual_minimum_ae_integral_eq μ ν v T hcontact hsingle hmin f
end CompactAE
end WeakMTWTransport
end
end
end
end OAI