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Add lean source and binary files (part 63)
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import Mathlib.Tactic.Linarith
import Mathlib.Tactic.NormNum
import OAI.Computability.UniqueGames.Inverse.KMSFoundationLemmas
namespace OAI
section
/-!
# A proved one-dimensional Grassmann expansion case
Distinct lines always intersect trivially, so this Grassmann graph is complete.
Its retention never exceeds global density. This proves a genuine restricted
expansion statement; it does not imply the OPEN large-dimension KMS principle.
-/
namespace UniqueGamesTheorem.Inverse.KMS
noncomputable section
open scoped BigOperators Classical
theorem adjacent_one_iff {n : ℕ} (L M : Vertex n 1) :
Adjacent L M ↔ L ≠ M := by
constructor
· exact fun h => h.1
· intro hne
refine ⟨hne, ?_⟩
have hle : Module.finrank F2 ↥(L.val ⊓ M.val : Submodule F2 (Ambient n)) ≤ 1 :=
(Submodule.finrank_mono inf_le_left).trans_eq L.property
have hnot : Module.finrank F2 ↥(L.val ⊓ M.val : Submodule F2 (Ambient n)) ≠ 1 := by
intro heq
have hL : L.val ⊓ M.val = L.val :=
Submodule.eq_of_le_of_finrank_eq inf_le_left (heq.trans L.property.symm)
have hM : L.val ⊓ M.val = M.val :=
Submodule.eq_of_le_of_finrank_eq inf_le_right (heq.trans M.property.symm)
exact hne (Subtype.ext (hL.symm.trans hM))
omega
theorem neighbors_one_eq {n : ℕ} (L : Vertex n 1) :
neighbors L = Finset.univ.erase L := by
ext M
simp [neighbors, adjacent_one_iff, ne_comm]
private theorem inter_univ_erase {Ω : Type*} [Fintype Ω] [DecidableEq Ω]
(S : Finset Ω) (x : Ω) : S ∩ Finset.univ.erase x = S.erase x := by
ext y
simp [and_comm]
theorem dimensionOne_neighbor_density {n : ℕ} (S : Finset (Vertex n 1))
{L : Vertex n 1} (hL : L ∈ S) :
relativeDensity S (neighbors L) =
((S.card : ℝ) - 1) / ((Fintype.card (Vertex n 1) : ℝ) - 1) := by
unfold relativeDensity
rw [neighbors_one_eq, inter_univ_erase, Finset.card_erase_of_mem hL,
Finset.card_erase_of_mem (Finset.mem_univ L), Finset.card_univ]
have hS : 1 ≤ S.card := Finset.one_le_card.mpr ⟨L, hL⟩
have hV : 1 ≤ Fintype.card (Vertex n 1) := Fintype.card_pos_iff.mpr ⟨L⟩
rw [Nat.cast_sub hS, Nat.cast_sub hV]
norm_num
/-- Exact retention of a nonempty collection of binary lines. -/
theorem dimensionOne_retention {n : ℕ} (S : Finset (Vertex n 1))
(hS : S.Nonempty) :
retention S = ((S.card : ℝ) - 1) /
((Fintype.card (Vertex n 1) : ℝ) - 1) := by
have hsum : (∑ L ∈ S, relativeDensity S (neighbors L)) =
(S.card : ℝ) * (((S.card : ℝ) - 1) /
((Fintype.card (Vertex n 1) : ℝ) - 1)) := by
calc
_ = ∑ _L ∈ S, ((S.card : ℝ) - 1) /
((Fintype.card (Vertex n 1) : ℝ) - 1) :=
Finset.sum_congr rfl fun _ hL => dimensionOne_neighbor_density S hL
_ = _ := by simp
unfold retention
rw [hsum]
exact mul_div_cancel_left₀ _ (Nat.cast_ne_zero.mpr (Finset.card_ne_zero.mpr hS))
/-- The one-dimensional Grassmann graph has retention at most global density.
The cardinality hypothesis rules out the single-vertex, zero-degree case. -/
theorem dimensionOne_retention_le_density {n : ℕ} (S : Finset (Vertex n 1))
(hS : S.Nonempty) (hV : 1 < Fintype.card (Vertex n 1)) :
retention S ≤ relativeDensity S Finset.univ := by
rw [dimensionOne_retention S hS]
simp only [relativeDensity, Finset.inter_univ, Finset.card_univ]
have hV' : (1 : ℝ) < Fintype.card (Vertex n 1) := Nat.one_lt_cast.mpr hV
have hcard : (S.card : ℝ) ≤ Fintype.card (Vertex n 1) :=
Nat.cast_le.mpr (Finset.card_le_univ S)
apply (div_le_div_iff₀ (by linarith) (by linarith)).mpr
nlinarith
/-- In dimension one, the whole ambient interval already has the required
density. This is a proved special case, not a premise for higher dimensions. -/
theorem dimensionOne_dense_interval {n : ℕ} (S : Finset (Vertex n 1))
(hS : S.Nonempty) (hV : 1 < Fintype.card (Vertex n 1))
{ζ : ℝ} (hζ : ζ ≤ retention S) :
ζ ≤ relativeDensity S (interval (⊥ : Submodule F2 (Ambient n)) ⊤) := by
have hI : interval (ell := 1) (⊥ : Submodule F2 (Ambient n)) ⊤ =
Finset.univ := by simp [interval]
rw [hI]
exact hζ.trans (dimensionOne_retention_le_density S hS hV)
end
end UniqueGamesTheorem.Inverse.KMS
end
end OAI