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Add lean source and binary files (part 67)
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import Mathlib
import OAI.Geometry.DoublingHilbert.CompactModel
import OAI.Geometry.DoublingHilbert.FiniteWitness
import OAI.Geometry.DoublingHilbert.Auerbach
import OAI.Geometry.DoublingHilbert.ClusterPlacement
import OAI.Geometry.DoublingHilbert.ClusterCover
import OAI.Geometry.DoublingHilbert.FiniteTargets
import OAI.Geometry.DoublingHilbert.Main
namespace OAI
open Set Metric
open scoped BigOperators
open Filter
open scoped Topology
noncomputable section
universe u v
namespace CompactBanach
theorem main : ∃ Λ : ℕ, ∀ (B : Type u) [NormedAddCommGroup B] [NormedSpace ℝ B]
[CompleteSpace B], ¬ FiniteDimensional ℝ B →
∃ K : Set B, IsCompact K ∧ DoublingAtMost K Λ ∧
∀ (E : Type v) [NormedAddCommGroup E] [NormedSpace ℝ E]
[FiniteDimensional ℝ E], ¬ AdmitsBiLipschitzEmbedding K E := by
classical
refine ⟨1 + 5 * (76800 ^ 8) ^ 2, ?_⟩
intro B _ _ _ hB
have hS : AmbientDoubling DoublingHilbert.constructedSet 76800 :=
doubling_iff_ambient.mp (fun x r hr => DoublingHilbert.constructedSet_cover x hr)
have hw (j : ℕ) := finite_witness_card (Nat.unpair j).1
(A := ((Nat.unpair j).2 : ℝ) + 1) (le_add_of_nonneg_left (Nat.cast_nonneg _))
choose X hXcard hX using hw
obtain ⟨v, hv, hvcoord⟩ := exists_auerbach_vectors (ι := Unit) hB
have hvunit : ‖v ()‖ = 1 := by
apply le_antisymm (hv ())
simpa using hvcoord (fun _ => 1) ()
have hp (j : ℕ) := cluster_placement hB hS (X j) (v ()) (clusterScale_pos j)
choose f hloc hdoubling a ha hd using hp
let C : ℕ → Finset B := fun j => Finset.univ.image (f j)
have hCset (j : ℕ) : (C j : Set B) = Set.range (f j) := by
ext z
simp [C]
have hCloc : ∀ j z, z ∈ C j →
dist z (clusterScale j • v ()) ≤ clusterScale j / 100 := by
intro j z hz
obtain ⟨x, _, rfl⟩ := Finset.mem_image.mp hz
exact hloc j x
have hCdouble : ∀ j, DoublingAtMost (C j : Set B) (76800 ^ 8) := by
intro j
rw [hCset]
exact hdoubling j
let K : Set B := {0} ∪ ⋃ j : ℕ, (C j : Set B)
obtain ⟨hcompact, hdouble⟩ := compact_doubling_clusters C hvunit hCloc hCdouble
refine ⟨K, hcompact, hdouble, ?_⟩
intro E _ _ _ hF
obtain ⟨F, b, hb, D, hD, hF⟩ := hF
obtain ⟨g, c, hc, A, hA, hg⟩ := euclidean_embedding_of_finite_dimensional F hb hD hF
obtain ⟨n, hn⟩ := exists_nat_gt (36 * A)
let j : ℕ := Nat.pair (Module.finrank ℝ E) n
have hjdim : (Nat.unpair j).1 = Module.finrank ℝ E := by simp [j]
have hjn : (Nat.unpair j).2 = n := by simp [j]
let intoK : X j → K := fun x =>
⟨f j x, Or.inr (Set.mem_iUnion.mpr ⟨j,
Finset.mem_image.mpr ⟨x, Finset.mem_univ _, rfl⟩⟩)⟩
have hbad := hX j
rw [hjdim, hjn] at hbad
apply hbad
refine ⟨g ∘ intoK, c * a j, mul_pos hc (ha j), ?_⟩
intro x y
have hgg := hg (intoK x) (intoK y)
change c * dist (f j x) (f j y) ≤ dist (g (intoK x)) (g (intoK y)) ∧
dist (g (intoK x)) (g (intoK y)) ≤ A * c * dist (f j x) (f j y) at hgg
dsimp only [Function.comp_apply]
constructor
· calc
_ = c * (a j * dist x y) := by ring
_ ≤ c * dist (f j x) (f j y) := mul_le_mul_of_nonneg_left (hd j x y).1 hc.le
_ ≤ _ := hgg.1
· have hApos : 0 ≤ A := le_trans zero_le_one hA
have hn' : 36 * A ≤ (n : ℝ) + 1 := by linarith
calc
_ ≤ A * c * dist (f j x) (f j y) := hgg.2
_ ≤ A * c * (36 * a j * dist x y) :=
mul_le_mul_of_nonneg_left (hd j x y).2 (mul_nonneg hApos hc.le)
_ = (36 * A) * (c * a j) * dist x y := by ring
_ ≤ ((n : ℝ) + 1) * (c * a j) * dist x y :=
mul_le_mul_of_nonneg_right
(mul_le_mul_of_nonneg_right hn' (mul_nonneg hc.le (ha j).le)) dist_nonneg
end CompactBanach
end
end OAI