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Add lean source and binary files (part 45)
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import OAI.Combinatorics.InfiniteMatroid.Cardinality
import OAI.Combinatorics.InfiniteMatroid.FiniteCounting
import OAI.Combinatorics.InfiniteMatroid.BlockDensity
namespace OAI
section
open Set Filter Finset
open scoped Topology
namespace InfiniteMatroidCounterexample
abbrev ColumnTag := CIndex × Fin 3
noncomputable def columnString (t : ColumnTag) (n : ℕ) : Bool :=
if n < 2 then decide (t.2.val = n) else cindexBinaryEquiv t.1 (n-2)
lemma columnString_injective : Function.Injective columnString := by
intro t s h
have h0 := congrFun h 0
have h1 := congrFun h 1
have hk : t.2 = s.2 := by
rcases t with ⟨t,k⟩
rcases s with ⟨s,l⟩
fin_cases k <;> fin_cases l <;> simp_all [columnString]
have ht : t.1 = s.1 := by
apply cindexBinaryEquiv.injective
funext n
have hn := congrFun h (n+2)
simpa [columnString] using hn
exact Prod.ext ht hk
def prefixString (h : ℕ → Bool) (m : ℕ) : Fin m → Bool := fun i ↦ h i
lemma eventually_prefix_injective {A : Type} [Finite A] (h : A → (ℕ → Bool))
(hh : Function.Injective h) :
∀ᶠ m : ℕ in atTop, Function.Injective (fun a ↦ prefixString (h a) m) := by
have he : ∀ a b : A, ∀ᶠ m : ℕ in atTop,
prefixString (h a) m = prefixString (h b) m → a = b := by
intro a b
by_cases hab : a = b
· exact Eventually.of_forall (fun _ _ ↦ hab)
have hn : h a ≠ h b := fun he ↦ hab (hh he)
obtain ⟨k, hk⟩ := Function.ne_iff.mp hn
filter_upwards [eventually_ge_atTop (k+1)] with m hm heq
exact (hk (congrFun heq ⟨k, by omega⟩)).elim
exact eventually_all.mpr (fun a ↦ eventually_all.mpr (fun b ↦ he a b))
def column (t : ColumnTag) : Set D := {x | x.2 (prefixString (columnString t) x.1) = true}
noncomputable def dDensity (X : Set D) (m : ℕ) : ℝ := finiteDensity (dBlock m) X
def DSmall (X : Set D) : Prop := Tendsto (dDensity X) atTop (𝓝 0)
lemma dBlock_trace_card (X : Set D) (m : ℕ) :
(traceFinset (dBlock m) X).card =
@Fintype.card {f : (Fin m → Bool) → Bool // (⟨m,f⟩ : D) ∈ X}
(by classical exact inferInstance) := by
classical
let e : ((Fin m → Bool) → Bool) ↪ D := ⟨fun f ↦ ⟨m,f⟩, fun _ _ h ↦ by simpa using h⟩
have he : traceFinset (dBlock m) X = (univ.filter (fun f ↦ (⟨m,f⟩ : D) ∈ X)).map e := by
ext x
rcases x with ⟨k,f⟩
simp only [mem_traceFinset, mem_dBlock, Finset.mem_map, Finset.mem_filter, Finset.mem_univ, true_and]
constructor
· rintro ⟨rfl,hf⟩
exact ⟨f,hf,rfl⟩
· rintro ⟨g,hg,heq⟩
change (⟨m,g⟩ : D) = ⟨k,f⟩ at heq
cases heq
exact ⟨rfl,hg⟩
rw [he, card_map]
exact (Fintype.card_subtype _).symm
lemma dDensity_formula (X : Set D) (m : ℕ) :
dDensity X m =
(@Fintype.card {f : (Fin m → Bool) → Bool // (⟨m,f⟩ : D) ∈ X}
(by classical exact inferInstance) : ℝ) / Fintype.card ((Fin m → Bool) → Bool) := by
simp only [dDensity, finiteDensity, dBlock_trace_card, card_dBlock, Fintype.card_fun,
Fintype.card_bool, Fintype.card_fin]
/-- All finite marginals are uniform once the chosen prefixes separate. -/
lemma columns_uniform {A : Type} [Fintype A] [DecidableEq A] (e : A ↪ ColumnTag)
(P : (A → Bool) → Prop) :
∀ᶠ m in atTop,
dDensity {x : D | P (fun a ↦ x.2 (prefixString (columnString (e a)) x.1))} m =
(Nat.card {v : A → Bool // P v} : ℝ) /
Fintype.card (A → Bool) := by
classical
filter_upwards [eventually_prefix_injective (fun a ↦ columnString (e a))
(columnString_injective.comp e.injective)] with m hm
rw [dDensity_formula]
rw [Nat.card_eq_fintype_card]
exact function_density_restriction ⟨fun a ↦ prefixString (columnString (e a)) m, hm⟩ P
lemma columns_pattern (F : Finset ColumnTag) (v : F → Bool) :
∀ᶠ m in atTop,
dDensity {x : D | ∀ t : F, x.2 (prefixString (columnString t) x.1) = v t} m =
1 / (2 : ℝ)^F.card := by
classical
have h := columns_uniform (A := F) ⟨Subtype.val, Subtype.val_injective⟩ (fun w ↦ w = v)
have hc : Nat.card {w : F → Bool // w = v} = 1 := by
rw [Nat.card_eq_fintype_card]
exact Fintype.card_eq_one_iff.mpr ⟨⟨v,rfl⟩, fun w ↦ Subtype.ext w.property⟩
rw [hc] at h
simpa [funext_iff] using h
lemma dSmall_empty : DSmall ∅ := by
have he : dDensity ∅ = fun _ ↦ 0 := by ext m; simp [dDensity, finiteDensity]
rw [DSmall, he]
exact tendsto_const_nhds
lemma dSmall_mono {X Y : Set D} (hY : DSmall Y) (hXY : X ⊆ Y) : DSmall X :=
squeeze_zero (fun _ ↦ finiteDensity_nonneg _ _) (fun _ ↦ finiteDensity_mono _ hXY) hY
lemma dSmall_union {X Y : Set D} (hX : DSmall X) (hY : DSmall Y) : DSmall (X ∪ Y) := by
have ht : Tendsto (fun m ↦ dDensity X m + dDensity Y m) atTop (𝓝 0) := by simpa using hX.add hY
exact squeeze_zero (fun m ↦ finiteDensity_nonneg _ _) (fun m ↦ finiteDensity_union_le _ _ _) ht
lemma dSmall_false_of_eventual {X : Set D} {c : ℝ} (hc : 0 < c)
(h : dDensity X =ᶠ[atTop] fun _ ↦ c) : ¬ DSmall X := by
intro hX
have he := tendsto_nhds_unique ((tendsto_congr' h).mp hX) tendsto_const_nhds
exact hc.ne he
lemma pattern_positive (F : Finset ColumnTag) (v : F → Bool) :
¬ DSmall {x : D | ∀ t : F, x.2 (prefixString (columnString t) x.1) = v t} :=
dSmall_false_of_eventual (by positivity) (columns_pattern F v)
end InfiniteMatroidCounterexample
end
end OAI