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Add lean source and binary files (part 69)
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import Mathlib
import OAI.Geometry.IntegralFillings.Differentiation.HilbertCharts
import OAI.Geometry.IntegralFillings.Differentiation.Partitions
namespace OAI
section
open Set Filter MeasureTheory
open scoped Topology ENNReal NNReal
open Filter Set
open scoped Topology NNReal
open Set Filter MeasureTheory TopologicalSpace
open scoped Topology ENNReal
open MeasureTheory Filter Set Metric
open scoped Topology Pointwise NNReal
open Set MeasureTheory
open scoped RealInnerProductSpace
open Matrix
open scoped RealInnerProductSpace MatrixOrder
namespace SharpIntegralFillings.MetricDifferentiation
open Metric Asymptotics
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E]
{X : Type*} [MetricSpace X] [SeparableSpace X] [Nonempty X]
{f : E → X} {K : ℝ≥0}
theorem exists_ae_nearIsometric_partition_with_property
(μ : Measure E) [μ.IsAddHaarMeasure] (hf : LipschitzWith K f)
{s : Set E} (hs : MeasurableSet s) (hsf : μ s ≠ ∞)
{P : E → Prop} (hP : ∀ᵐ x ∂μ.restrict s, P x)
{A : ℝ} (hA : 0 < A)
(hbound : ∀ x ∈ s, P x → ∀ v, ‖v‖ ≤ A*metricSeminorm f x v)
{ε : ℝ} (hε : 0 < ε) :
∃ (c : ℕ → E) (t : ℕ → Set E),
(∀ i, MeasurableSet (t i)) ∧ (∀ i, t i ⊆ s) ∧
Pairwise (fun i j => Disjoint (t i) (t j)) ∧ μ (s \ ⋃ i, t i) = 0 ∧
(∀ i, (t i).Nonempty → c i ∈ s ∧ P (c i)) ∧
∀ i, ∀ y ∈ t i, ∀ z ∈ t i,
(1-ε)*metricSeminorm f (c i) (y-z) ≤ dist (f y) (f z) ∧
dist (f y) (f z) ≤ (1+ε)*metricSeminorm f (c i) (y-z) := by
classical
have hnull : μ {x | ¬(x ∈ s → P x)} = 0 :=
ae_iff.mp ((ae_restrict_iff' hs).mp hP)
obtain ⟨N,hN,hNm,hN0⟩ := exists_measurable_superset_of_null hnull
let s₀ := s \ N
have hs₀ : MeasurableSet s₀ := hs.diff hNm
have hprop : ∀ x ∈ s₀, P x := by
intro x hx
by_contra hp
exact hx.2 (hN (by simpa using And.intro hx.1 hp))
obtain ⟨c,t,htm,hts,hdisj,ht0,hcs,hineq⟩ :=
exists_ae_nearIsometric_partition μ hf hs₀
((measure_mono sdiff_subset).trans_lt hsf.lt_top).ne hA
(fun x hx => hbound x hx.1 (hprop x hx)) hε
refine ⟨c,t,htm,fun i => (hts i).trans sdiff_subset,hdisj,?_,?_,hineq⟩
· apply le_antisymm _ bot_le
calc μ (s \ ⋃ i, t i) ≤ μ (N ∪ (s₀ \ ⋃ i, t i)) := by
apply measure_mono
intro x hx
by_cases hn : x ∈ N
· exact Or.inl hn
· exact Or.inr ⟨⟨hx.1,hn⟩,hx.2⟩
_ ≤ μ N + μ (s₀ \ ⋃ i, t i) := measure_union_le _ _
_ = 0 := by rw [hN0,ht0,add_zero]
· intro i hi
exact ⟨(hcs i hi).1,hprop _ (hcs i hi)⟩
end SharpIntegralFillings.MetricDifferentiation
namespace SharpIntegralFillings.MetricDifferentiation
open Metric
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
{X : Type*} [MetricSpace X]
theorem exists_hilbertian_nearIsometric_chart_partition
(μ : Measure E) [μ.IsAddHaarMeasure]
{s : Set E} (hs : MeasurableSet s) (hsf : μ s ≠ ∞) {f : s → X} {K J : ℝ≥0}
(hf : LipschitzWith K f) (hJ : AntilipschitzWith J f)
(hQ : ∀ a b c d : s,
dist (f a) (f c)^2+dist (f b) (f d)^2 ≤
dist (f a) (f b)^2+dist (f b) (f c)^2+dist (f c) (f d)^2+dist (f d) (f a)^2)
{ε : ℝ} (hε : 0 < ε) :
∃ (p : ℕ → Seminorm ℝ E) (t : ℕ → Set E),
(∀ i, MeasurableSet (t i)) ∧ (∀ i, t i ⊆ s) ∧
Pairwise (fun i j => Disjoint (t i) (t j)) ∧ μ (s \ ⋃ i, t i) = 0 ∧
(∀ i, LipschitzWith K (p i)) ∧
(∀ i, (t i).Nonempty →
(∀ u v, p i (u+v)^2+p i (u-v)^2 = 2*p i u^2+2*p i v^2) ∧
(∀ v, ‖v‖ ≤ (J : ℝ)*p i v)) ∧
∀ i, ∀ y : s, (y : E) ∈ t i → ∀ z : s, (z : E) ∈ t i →
(1-ε)*p i ((y : E)-(z : E)) ≤ dist (f y) (f z) ∧
dist (f y) (f z) ≤ (1+ε)*p i ((y : E)-(z : E)) := by
classical
let Y := Set.range f
let : SeparableSpace Y := (isSeparable_range hf.continuous).separableSpace
let F : s → Y := fun x => ⟨f x,x,rfl⟩
let e := kuratowskiEmbedding Y
have he : Isometry e := kuratowskiEmbedding.isometry Y
let F₀ : E → ↥(lp (fun _ : ℕ => ℝ) (⊤ : ENNReal)) :=
fun x => if hx : x ∈ s then e (F ⟨x,hx⟩) else 0
have hF₀ : LipschitzOnWith K F₀ s := by
apply LipschitzOnWith.of_dist_le_mul
intro x hx y hy
dsimp only [F₀]
rw [dite_eq_left hx,dite_eq_left hy,he.dist_eq]
exact hf.dist_le_mul ⟨x,hx⟩ ⟨y,hy⟩
obtain ⟨g,hg,heq⟩ := hF₀.extend_lp_infty
let Z := Set.range g
let : SeparableSpace Z := (isSeparable_range hg.continuous).separableSpace
let : Nonempty Z := ⟨⟨g 0,0,rfl⟩⟩
let G : E → Z := fun x => ⟨g x,x,rfl⟩
have hG : LipschitzWith K G := by
apply LipschitzWith.of_dist_le_mul
exact hg.dist_le_mul
have hdist (y z : s) : dist (G y) (G z) = dist (f y) (f z) := by
change dist (g y) (g z) = _
rw [←heq y.property, ←heq z.property]
dsimp only [F₀]
rw [dite_eq_left y.property,dite_eq_left z.property]
exact he.dist_eq (F y) (F z)
have hQG : ∀ a ∈ s, ∀ b ∈ s, ∀ c ∈ s, ∀ d ∈ s,
dist (G a) (G c)^2+dist (G b) (G d)^2 ≤
dist (G a) (G b)^2+dist (G b) (G c)^2+dist (G c) (G d)^2+dist (G d) (G a)^2 := by
intro a ha b hb c hc d hd
simpa only [← hdist] using hQ ⟨a,ha⟩ ⟨b,hb⟩ ⟨c,hc⟩ ⟨d,hd⟩
have hJG : ∀ a ∈ s, ∀ b ∈ s, (1 : ℝ)*dist a b ≤ (J : ℝ)*dist (G a) (G b) := by
intro a ha b hb
have hh := hJ.le_mul_dist ⟨a,ha⟩ ⟨b,hb⟩
change dist a b ≤ (J : ℝ)*dist (f ⟨a,ha⟩) (f ⟨b,hb⟩) at hh
simpa only [←hdist,one_mul] using hh
let P : E → Prop := fun x =>
(∀ u v, metricSeminorm G x (u+v)^2+metricSeminorm G x (u-v)^2 =
2*metricSeminorm G x u^2+2*metricSeminorm G x v^2) ∧
(∀ v, ‖v‖ ≤ (J : ℝ)*metricSeminorm G x v)
have hP : ∀ᵐ x ∂μ.restrict s, P x := by
filter_upwards [ae_metricSeminorm_parallelogram_on μ hG hs hsf hQG,
ae_metricSeminorm_distance_bound_on μ hG hs hsf hJG] with x hx hj
exact ⟨hx,by simpa only [one_mul] using hj⟩
obtain ⟨c,t,htm,hts,hdisj,ht0,hcs,hineq⟩ :=
exists_ae_nearIsometric_partition_with_property μ hG hs hsf hP
(A := (J : ℝ)+1) (by positivity)
(fun x _ hx v => (hx.2 v).trans <| mul_le_mul_of_nonneg_right
(by linarith) (apply_nonneg (metricSeminorm G x) v)) hε
refine ⟨fun i => metricSeminorm G (c i),t,htm,hts,hdisj,ht0,
fun i => metricSeminorm_lipschitz hG (c i),fun i hi => (hcs i hi).2,?_⟩
intro i y hy z hz
simpa only [hdist] using hineq i y hy z hz
end SharpIntegralFillings.MetricDifferentiation
end
end OAI