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Add lean source and binary files (part 45)
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import Mathlib
import OAI.Combinatorics.IndependentSets.PCP.LabelCoverData
namespace OAI
namespace LargeIndependentSets
section
open scoped Classical
def occurrenceTuple {U V L R C : Type*} (lc : LabelCoverData U V L R C)
{n : ℕ} (c : Fin n → C) (i : ℕ) : MixedTuple U V n i :=
⟨fun h => if h.val < i then Sum.inl (lc.right (c h)) else Sum.inr (lc.left (c h)), by
intro h
by_cases hh : h.val < i <;> simp [hh]⟩
def occurrenceQuestion {U V L R C : Type*} (lc : LabelCoverData U V L R C)
{n : ℕ} (c : Fin n → C) (i : Fin (n+1)) : LayerQuestion U V n :=
⟨i, occurrenceTuple lc c i.val⟩
def chainComposite {U V L R C : Type*} (lc : LabelCoverData U V L R C)
{n : ℕ} (c : Fin n → C) (i j : ℕ) (hij : i ≤ j) :
MixedTuple L R n i → MixedTuple L R n j :=
fun x => ⟨fun h => if i ≤ h.val ∧ h.val < j then
Sum.inl ((x.val h).elim id (lc.project (c h))) else x.val h, by
intro h
by_cases hh : i ≤ h.val ∧ h.val < j
· simp [hh]
· have he : (h.val < i) = (h.val < j) := propext (by omega)
simp [hh, x.property h, he]⟩
@[simp] lemma chainComposite_self {U V L R C : Type*} (lc : LabelCoverData U V L R C)
{n : ℕ} (c : Fin n → C) (i : ℕ) (hi : i ≤ i) (x : MixedTuple L R n i) :
chainComposite lc c i i hi x = x := by
apply Subtype.ext
funext h
simp [chainComposite, show ¬(i ≤ h.val ∧ h.val < i) from by omega]
lemma chainComposite_comp {U V L R C : Type*} (lc : LabelCoverData U V L R C)
{n : ℕ} (c : Fin n → C) (i j k : ℕ) (hij : i ≤ j) (hjk : j ≤ k)
(x : MixedTuple L R n i) :
chainComposite lc c j k hjk (chainComposite lc c i j hij x) =
chainComposite lc c i k (hij.trans hjk) x := by
apply Subtype.ext
funext h
dsimp [chainComposite]
by_cases h₁ : h.val < i
· simp [show ¬i ≤ h.val from by omega, show ¬j ≤ h.val from by omega]
· by_cases h₂ : h.val < j
· simp [show i ≤ h.val from by omega, h₂, show h.val < k from by omega,
show ¬ j ≤ h.val from by omega]
· by_cases h₃ : h.val < k
· simp [show i ≤ h.val from by omega, show j ≤ h.val from by omega, h₂, h₃]
· simp [h₂, h₃]
lemma chainComposite_adjacent {U V L R C : Type*} (lc : LabelCoverData U V L R C)
{n : ℕ} (c : Fin n → C) (h : Fin n) :
chainComposite lc c h.val (h.val+1) (by omega) = mixedProject h (lc.project (c h)) := by
funext x
apply Subtype.ext
funext k
have he : (h.val ≤ k.val ∧ k.val < h.val+1) ↔ k = h := by
constructor
· intro hk; apply Fin.ext; omega
· intro hk; subst k; omega
simp only [chainComposite, mixedProject, he]
split_ifs with hk
· subst k; rfl
· rfl
lemma occurrence_chain_imposed {U V L R C : Type*} (lc : LabelCoverData U V L R C)
{n : ℕ} (c : Fin n → C) (h : Fin n) :
(layeredSystem lc n).imposed (occurrenceQuestion lc c h.castSucc)
(occurrenceQuestion lc c h.succ) (chainComposite lc c h.val (h.val+1) (by omega)) := by
rw [chainComposite_adjacent]
apply LayerImposed.adjacent h (occurrenceTuple lc c h.val)
(occurrenceTuple lc c (h.val+1)) (c h)
· simp [occurrenceTuple]
· simp [occurrenceTuple]
· intro k hk
have hne : k.val ≠ h.val := fun he => hk (Fin.ext he)
have he : (k.val < h.val) = (k.val < h.val+1) := propext (by omega)
simp only [occurrenceTuple, he]
lemma imposed_path_zero {Q : Type*} {M : Q → Type*} (S : ProjectionSystem Q M)
{D : ℕ} [NeZero D] {q q' : Q} (π : M q → M q') (hπ : S.imposed q q' π)
(v : M q' → ZMod D) : pathDistance S.linkLength ⟨q, v ∘ π⟩ ⟨q', v⟩ = 0 := by
apply le_antisymm _ bot_le
apply (pathDistance_le_link _ _ _).trans
have hz : S.ZeroLink D ⟨q, v ∘ π⟩ ⟨q', v⟩ := Or.inl (.link q q' π hπ v)
simp only [ProjectionSystem.linkLength, ite_eq_left hz]
exact le_rfl
theorem occurrence_chain_path_zero {U V L R C : Type*} (lc : LabelCoverData U V L R C)
{n : ℕ} (c : Fin n → C) {D : ℕ} [NeZero D] (i j : ℕ) (hij : i ≤ j) (hjn : j ≤ n)
(v : MixedTuple L R n j → ZMod D) :
pathDistance (layeredSystem lc n).linkLength
⟨occurrenceQuestion lc c ⟨i, by omega⟩, v ∘ chainComposite lc c i j hij⟩
⟨occurrenceQuestion lc c ⟨j, by omega⟩, v⟩ = 0 := by
induction j, hij using Nat.le_induction with
| base =>
have he : v ∘ chainComposite lc c i i (by omega) = v := by
funext x; simp
simp only [occurrenceQuestion] at ⊢
rw [he]
exact pathDistance_self _ (linkLength_self _) _
| succ j hij ih =>
let w : MixedTuple L R n j → ZMod D := v ∘ chainComposite lc c j (j+1) (by omega)
have hleft := ih (by omega) w
have hright := imposed_path_zero (layeredSystem lc n)
(q := occurrenceQuestion lc c ⟨j, by omega⟩)
(q' := occurrenceQuestion lc c ⟨j+1, by omega⟩)
(chainComposite lc c j (j+1) (by omega))
(occurrence_chain_imposed lc c ⟨j, by omega⟩) v
have he : w ∘ chainComposite lc c i j hij = v ∘ chainComposite lc c i (j+1) (by omega) := by
funext x
exact congrArg v (chainComposite_comp lc c i j (j+1) hij (by omega) x)
simp only [occurrenceQuestion] at hleft
rw [he] at hleft
apply le_antisymm _ bot_le
exact (pathDistance_triangle _ _
⟨occurrenceQuestion lc c ⟨j, by omega⟩, w⟩ _).trans
(by
simp only [occurrenceQuestion] at hright ⊢
rw [hleft, hright, add_zero]
exact le_rfl)
end
open scoped Classical BigOperators
noncomputable def paddedList {X : Type*} (A : Finset X) (d : ℕ) (x₀ : X) (i : Fin d) : X :=
if hi : i.val < A.card then (A.equivFin.symm ⟨i.val, hi⟩).val else x₀
lemma mem_paddedList {X : Type*} (A : Finset X) (d : ℕ) (x₀ x : X)
(hd : A.card ≤ d) (hx : x ∈ A) : ∃ i : Fin d, paddedList A d x₀ i = x := by
let j := A.equivFin ⟨x, hx⟩
refine ⟨⟨j.val, j.isLt.trans_le hd⟩, ?_⟩
simp only [paddedList, j.isLt, dite_eq_left]
exact congrArg Subtype.val (A.equivFin.symm_apply_apply ⟨x, hx⟩)
def LabelCoverData.Sound {U V L R C : Type*} [Fintype C]
(lc : LabelCoverData U V L R C) (σ : ℝ) : Prop :=
∀ (l : U → L) (r : V → R),
((Finset.univ.filter (fun c => lc.project c (l (lc.left c)) = r (lc.right c))).card : ℝ) ≤
σ * Fintype.card C
theorem bounded_list_decoding {U V L R C : Type*} [Fintype C] [Nonempty L] [Nonempty R]
(lc : LabelCoverData U V L R C) {σ : ℝ} (hsound : lc.Sound σ)
(d : ℕ) (A : U → Finset L) (B : V → Finset R)
(hA : ∀ u, (A u).card ≤ d) (hB : ∀ v, (B v).card ≤ d) :
((Finset.univ.filter (fun c => ∃ l ∈ A (lc.left c), ∃ r ∈ B (lc.right c),
lc.project c l = r)).card : ℝ) ≤ (d : ℝ)^2 * σ * Fintype.card C := by
classical
let ls : Fin d → U → L := fun i u => paddedList (A u) d (Classical.arbitrary L) i
let rs : Fin d → V → R := fun i v => paddedList (B v) d (Classical.arbitrary R) i
let E : Fin d × Fin d → Finset C := fun ij => Finset.univ.filter
(fun c => lc.project c (ls ij.1 (lc.left c)) = rs ij.2 (lc.right c))
have hcover : Finset.univ.filter (fun c => ∃ l ∈ A (lc.left c), ∃ r ∈ B (lc.right c),
lc.project c l = r) ⊆ Finset.univ.biUnion E := by
intro c hc
obtain ⟨l, hl, r, hr, he⟩ := (Finset.mem_filter.mp hc).2
obtain ⟨i, hi⟩ := mem_paddedList (A (lc.left c)) d (Classical.arbitrary L) l (hA _) hl
obtain ⟨j, hj⟩ := mem_paddedList (B (lc.right c)) d (Classical.arbitrary R) r (hB _) hr
apply Finset.mem_biUnion.mpr
refine ⟨(i,j), Finset.mem_univ _, ?_⟩
apply Finset.mem_filter.mpr
exact ⟨Finset.mem_univ _, by simpa only [ls, rs, hi, hj] using he⟩
have hc := (Finset.card_le_card hcover).trans (Finset.card_biUnion_le)
have hcr : ((Finset.univ.filter (fun c => ∃ l ∈ A (lc.left c), ∃ r ∈ B (lc.right c),
lc.project c l = r)).card : ℝ) ≤ ∑ ij, ((E ij).card : ℝ) := by
exact_mod_cast hc
have he : ∑ ij, ((E ij).card : ℝ) ≤ ∑ _ij : Fin d × Fin d, σ * Fintype.card C := by
apply Finset.sum_le_sum
intro ij _
exact hsound (ls ij.1) (rs ij.2)
calc
_ ≤ _ := hcr.trans he
_ = (d : ℝ)^2 * σ * Fintype.card C := by
simp [Finset.sum_const, nsmul_eq_mul, pow_two, mul_assoc]
theorem bounded_list_probability {U V L R C : Type*} [Fintype C] [Nonempty C]
[Nonempty L] [Nonempty R] (lc : LabelCoverData U V L R C)
{σ : ℝ} (hsound : lc.Sound σ) (d : ℕ) (A : U → Finset L) (B : V → Finset R)
(hA : ∀ u, (A u).card ≤ d) (hB : ∀ v, (B v).card ≤ d) :
((Finset.univ.filter (fun c => ∃ l ∈ A (lc.left c), ∃ r ∈ B (lc.right c),
lc.project c l = r)).card : ℝ) / Fintype.card C ≤ (d : ℝ)^2 * σ := by
apply (div_le_iff₀ (by exact_mod_cast Fintype.card_pos : (0 : ℝ) < Fintype.card C)).mpr
exact bounded_list_decoding lc hsound d A B hA hB
end LargeIndependentSets
end OAI