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Add lean source and binary files (part 45)
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import Mathlib
import OAI.Combinatorics.IndependentSets.PCP.ClausePolynomial
import OAI.Combinatorics.IndependentSets.Encoding.BitsValue
namespace OAI
namespace LargeIndependentSets
section
open IndependentSetsGames.Foundations
noncomputable section
namespace SemanticReduction
def total (H : PCP.RoundTables.BaseTable) (p : SamplerParameters) (u q : ℕ) (hq : 0<q)
(b : List Bool) : Graph := reduce H p u q hq (BinaryParser.decode b)
def totalPolynomial (p : SamplerParameters) (u q : ℕ) : Polynomial ℕ :=
(outputPolynomial p u q).comp (Polynomial.X+Polynomial.C 1)
lemma total_output_bound (H : PCP.RoundTables.BaseTable) (p : SamplerParameters) (u q : ℕ) (hq : 0<q)
(b : List Bool) : (graphBits (total H p u q hq b)).length ≤ (totalPolynomial p u q).eval b.length := by
apply (output_polynomial H p u q hq (BinaryParser.decode b)).trans
have hh := Complexity.MachineComposition.natPolynomial_eval_mono
(outputPolynomial p u q) (BinaryParser.decode_bits_bound b)
simpa only [totalPolynomial,Polynomial.eval_comp,Polynomial.eval_add,Polynomial.eval_X,
Polynomial.eval_C] using hh
end SemanticReduction
theorem total_semantic_polynomial_output_reduction {δ : ℚ} (hδ : 0<δ) :
∃ reduce : List Bool → Graph, ∃ P : Polynomial ℕ,
(∀ b, (graphBits (reduce b)).length ≤ P.eval b.length) ∧
(∀ F : Formula, F.Satisfiable → (reduce (formulaBits F)).ThreeColorable) ∧
(∀ F : Formula, ¬F.Satisfiable →
((reduce (formulaBits F)).independenceNumber : ℚ) < δ*(reduce (formulaBits F)).vertices) := by
obtain ⟨H,p,u,q,hq,hyes,hno⟩ := semantic_reduction hδ
refine ⟨SemanticReduction.total H p u q hq,SemanticReduction.totalPolynomial p u q,
SemanticReduction.total_output_bound H p u q hq,?_,?_⟩
· intro F hF
simpa only [SemanticReduction.total,BinaryParser.decode_encoded] using hyes F hF
· intro F hF
simpa only [SemanticReduction.total,BinaryParser.decode_encoded] using hno F hF
end
end
namespace ShortestPaths
open scoped ENNReal
def pivot {X A : Type*} [Min A] [Add A] (w : X → X → A) (k : X) (x y : X) : A :=
min (w x y) (w x k + w k y)
def closure {X A : Type*} [Min A] [Add A] (w : X → X → A) : List X → X → X → A
| [] => w
| k::ks => closure (pivot w k) ks
lemma pivot_le {X : Type*} (w : X → X → ℝ≥0∞) (k x y : X) : pivot w k x y ≤ w x y :=
min_le_left _ _
lemma pivot_at {X : Type*} (w : X → X → ℝ≥0∞) (k x y : X) :
pivot w k x y ≤ pivot w k x k + pivot w k k y := by
simp only [pivot, min_eq_left (le_self_add), min_eq_left (le_add_self)]
exact min_le_right _ _
lemma pivot_preserves {X : Type*} (w : X → X → ℝ≥0∞) (k z : X)
(h : ∀ x y, w x y ≤ w x z + w z y) :
∀ x y, pivot w k x y ≤ pivot w k x z + pivot w k z y := by
intro x y
unfold pivot
rw [min_add,add_min,add_min]
apply le_min
· apply le_min
· exact (min_le_left _ _).trans (h x y)
· exact (min_le_right _ _).trans (by
simpa only [add_assoc,add_comm,add_left_comm] using add_le_add_right (h x k) (w k y))
· apply le_min
· exact (min_le_right _ _).trans (by
simpa only [add_assoc,add_comm,add_left_comm] using add_le_add_left (h k y) (w x k))
· exact (min_le_right _ _).trans (by
have hh : w x k + w k y ≤ w x k + (w k z + w z k) + w k y :=
add_le_add le_self_add le_rfl
simpa only [add_assoc,add_comm,add_left_comm] using hh)
lemma closure_le {X : Type*} (w : X → X → ℝ≥0∞) (ks : List X) (x y : X) :
closure w ks x y ≤ w x y := by
induction ks generalizing w with
| nil => exact le_rfl
| cons k ks ih => exact (ih _).trans (pivot_le _ _ _ _)
lemma closure_preserves {X : Type*} (w : X → X → ℝ≥0∞) (ks : List X) (z : X)
(h : ∀ x y, w x y ≤ w x z + w z y) :
∀ x y, closure w ks x y ≤ closure w ks x z + closure w ks z y := by
induction ks generalizing w with
| nil => exact h
| cons k ks ih => exact ih _ (pivot_preserves w k z h)
lemma closure_at {X : Type*} (w : X → X → ℝ≥0∞) (ks : List X) {z : X} (hz : z ∈ ks) :
∀ x y, closure w ks x y ≤ closure w ks x z + closure w ks z y := by
induction ks generalizing w with
| nil => simp at hz
| cons k ks ih =>
rcases List.mem_cons.mp hz with he | hz
· subst z
exact closure_preserves _ ks k (pivot_at w k)
· exact ih _ hz
lemma distance_le_closure {X : Type*} (w : X → X → ℝ≥0∞) (ks : List X) (x y : X) :
pathDistance w x y ≤ closure w ks x y := by
have h : ∀ (v : X → X → ℝ≥0∞), (∀ x y, pathDistance w x y ≤ v x y) →
∀ x y, pathDistance w x y ≤ closure v ks x y := by
induction ks with
| nil => intro v hv; exact hv
| cons k ks ih =>
intro v hv
apply ih
intro x y
exact le_min (hv x y) ((pathDistance_triangle w x k y).trans (add_le_add (hv x k) (hv k y)))
exact h w (pathDistance_le_link w) x y
theorem closure_eq_distance {X : Type*} (w : X → X → ℝ≥0∞) (ks : List X)
(hks : ∀ z, z ∈ ks) (x y : X) : closure w ks x y = pathDistance w x y := by
apply le_antisymm ?_ (distance_le_closure w ks x y)
apply le_iInf
intro zs
induction zs generalizing x with
| nil => exact closure_le w ks x y
| cons z zs ih =>
exact (closure_at w ks (hks z) x y).trans (add_le_add (closure_le w ks x z) (ih z))
lemma closure_map {X A B : Type*} [Min A] [Add A] [Min B] [Add B]
(f : A → B) (hfmin : ∀ a b, f (min a b) = min (f a) (f b))
(hfadd : ∀ a b, f (a+b) = f a+f b) (w : X → X → A) (ks : List X) :
(fun x y => f (closure w ks x y)) = closure (fun x y => f (w x y)) ks := by
induction ks generalizing w with
| nil => rfl
| cons k ks ih =>
simp only [closure]
rw [ih]
congr 1
funext x y
simp only [pivot,hfmin,hfadd]
abbrev Matrix (n : ℕ) := Vector (Vector ℕ∞ n) n
def Matrix.get {n : ℕ} (a : Matrix n) (i j : Fin n) : ℕ∞ := a[i.val][j.val]
def Matrix.pivot {n : ℕ} (a : Matrix n) (k : Fin n) : Matrix n :=
letI : Min ℕ∞ := @LinearOrder.toMin ℕ∞ instLinearOrderENat
Vector.ofFn (fun i => Vector.ofFn (fun j => ShortestPaths.pivot a.get k i j))
def Matrix.run {n : ℕ} (a : Matrix n) : List (Fin n) → Matrix n
| [] => a
| k::ks => (a.pivot k).run ks
lemma Matrix.run_get {n : ℕ} (a : Matrix n) (ks : List (Fin n)) :
(a.run ks).get = closure a.get ks := by
induction ks generalizing a with
| nil => rfl
| cons k ks ih =>
rw [Matrix.run,ih]
simp only [closure]
congr 1
funext i j
simp [Matrix.pivot, Matrix.get]
def Matrix.allPairs {n : ℕ} (a : Matrix n) : Matrix n := a.run (List.finRange n)
theorem Matrix.allPairs_exact {n : ℕ} (a : Matrix n) (i j : Fin n) :
((a.allPairs.get i j : ℕ∞) : ℝ≥0∞) =
pathDistance (fun x y => (a.get x y : ℝ≥0∞)) i j := by
rw [Matrix.allPairs,Matrix.run_get]
have hm := congrFun (congrFun (closure_map (fun z : ℕ∞ => (z:ℝ≥0∞))
ENat.toENNReal_min ENat.toENNReal_add a.get (List.finRange n)) i) j
rw [hm]
exact closure_eq_distance _ _ (fun z => List.mem_finRange z) i j
end ShortestPaths
end LargeIndependentSets
end OAI