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Add lean source and binary files (part 64)
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import Mathlib
import OAI.Computability.VertexCover.Machines.ExpanderCorrect
namespace OAI
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namespace VertexCover.Machine
open UniqueGames.Foundations.PCP
theorem listBits_length_bound {α : Type} (e : α → List Bool) (xs : List α) (B : ℕ)
(h : ∀ x ∈ xs, (e x).length ≤ B) :
(listBits e xs).length ≤ xs.length*(2*B+2)+1 := by
induction xs with
| nil => simp
| cons x xs ih =>
have hx := h x (by simp)
have ht := ih (fun a ha => h a (by simp [ha]))
simp only [List.length_cons,listBits_cons_length]
nlinarith
namespace ExpandMachine
noncomputable def verticesPoly {q : ℕ} : Poly (code (q := q)) natBits Sigma.fst :=
(Poly.fst natBits (listBits natBits)).encodeCongr erase (fun _ => rfl) (fun _ => rfl)
theorem code_bound {q : ℕ} (T : Input q) :
(code T).length ≤ 2*T.1+2+(T.1*q)*(2*(T.1*q)+2) := by
have hb := listBits_length_bound natBits (T.2.rows.toList.map Fin.val) (T.1*q) (by
intro x hx
obtain ⟨i,_,rfl⟩ := List.mem_map.mp hx
simpa only [natBits_length] using Nat.le_of_lt i.isLt)
simp only [List.length_map,Vector.length_toList] at hb
simp only [code,dataCode,erase,prodBits,pairBits_length,natBits_length]
omega
theorem vertices_le_code {q : ℕ} (T : Input q) : T.1 ≤ (code T).length := by
simp only [code,dataCode,erase,prodBits,pairBits_length,natBits_length]
omega
def capped {d : ℕ} (H : ExpanderTables.Table ((d*d)*(d*d)) d)
(p : ℕ × Input (d*d)) : ℕ × Input (d*d) :=
(p.1,if p.1 ≤ p.2.1 then p.2 else step H p.2)
noncomputable def cappedPoly {d : ℕ} (H : ExpanderTables.Table ((d*d)*(d*d)) d) :
Poly (prodBits natBits (code (q := d*d))) (prodBits natBits code) (capped H) := by
let ck := Poly.fst natBits (code (q := d*d))
let ct := Poly.snd natBits (code (q := d*d))
let test := (ck.pair (ct.comp verticesPoly)).comp Poly.natLE
exact ck.pair ((test.ite ct (ct.comp (stepPoly H))).congr (fun p => by simp))
theorem capped_vertex_bound {d : ℕ} (H : ExpanderTables.Table ((d*d)*(d*d)) d)
(p : ℕ × Input (d*d)) : (capped H p).2.1 ≤ p.2.1+((d*d)*(d*d))*p.1 := by
dsimp only [capped]
split
· omega
· rename_i h
have hm := Nat.mul_le_mul_right ((d*d)*(d*d)) (Nat.le_of_lt (Nat.lt_of_not_ge h))
dsimp only [step]
nlinarith
theorem capped_iterate_bound {d : ℕ} (H : ExpanderTables.Table ((d*d)*(d*d)) d)
(n : ℕ) (p : ℕ × Input (d*d)) :
(Iterate.run (capped H) n p).1=p.1 ∧
(Iterate.run (capped H) n p).2.1 ≤ max p.2.1 (((d*d)*(d*d))*p.1) := by
induction n generalizing p with
| zero => exact ⟨rfl,Nat.le_max_left _ _⟩
| succ n ih =>
have hh := ih (capped H p)
refine ⟨hh.1,hh.2.trans ?_⟩
apply max_le
· simp only [capped]
split
· exact Nat.le_max_left _ _
· rename_i h
change p.2.1*((d*d)*(d*d)) ≤ _
rw [Nat.mul_comm]
exact (Nat.mul_le_mul_left _ (Nat.le_of_lt (Nat.lt_of_not_ge h))).trans (Nat.le_max_right _ _)
· exact Nat.le_max_right _ _
theorem encoding_bound (q g n p v₀ v l N L : ℕ)
(hn : n ≤ N) (hp : p ≤ N) (hv : v₀ ≤ N) (hl : l ≤ n)
(hb : v ≤ max v₀ (g*p)) (hlen : L ≤ 2*v+2+(v*q)*(2*(v*q)+2)) :
2*l+1+(2*p+1+L) ≤ 20*((g+1)*(q+1)+1)^2*(N+1)^2 := by
let C := g+1
let R := C*(q+1)+1
let B := R*(N+1)
have hm : v ≤ C*N := by
apply hb.trans
apply max_le
· dsimp [C]; nlinarith only [hv,Nat.zero_le (g*N)]
· exact (Nat.mul_le_mul_left g hp).trans (by dsimp [C]; nlinarith only [Nat.zero_le N])
have hr : 1 ≤ R := by dsimp [R]; omega
have hc : C ≤ R := by dsimp [R]; nlinarith only [Nat.zero_le (C*q)]
have hcq : C*q ≤ R := by dsimp [R]; nlinarith only [Nat.zero_le C]
have hB : 1 ≤ B := Nat.mul_le_mul hr (Nat.succ_le_succ (Nat.zero_le N))
have hNB : N ≤ B := (Nat.le_succ N).trans (by
simpa only [one_mul] using Nat.mul_le_mul_right (N+1) hr)
have hvB : v ≤ B := hm.trans (Nat.mul_le_mul hc (Nat.le_succ N))
have hqB : v*q ≤ B := by
calc
v*q ≤ C*N*q := Nat.mul_le_mul_right q hm
_ = (C*q)*N := by ring
_ ≤ B := Nat.mul_le_mul hcq (Nat.le_succ N)
have hsquare := Nat.mul_le_mul hqB hqB
have hlinear : B ≤ B*B := by simpa only [one_mul] using Nat.mul_le_mul_right B hB
have hlB := (hl.trans hn).trans hNB
have hpB := hp.trans hNB
change _ ≤ 20*R^2*(N+1)^2
rw [show 20*R^2*(N+1)^2=20*B^2 by dsimp [B]; ring]
nlinarith only [hB,hlinear,hvB,hqB,hsquare,hlen,hlB,hpB]
noncomputable def cappedIteratePoly {d : ℕ} (H : ExpanderTables.Table ((d*d)*(d*d)) d) :
Poly (prodBits natBits (prodBits natBits (code (q := d*d))))
(prodBits natBits code) (fun p => Iterate.run (capped H) p.1 p.2) := by
let g := (d*d)*(d*d)
let Q := d*d
let size : Polynomial ℕ := Polynomial.C (20*((g+1)*(Q+1)+1)^2)*(Polynomial.X+1)^2
apply Poly.iterate _ (cappedPoly H) size
intro n p k l h
let N := (prodBits natBits (prodBits natBits (code (q := d*d))) (n,p)).length
have hn : n ≤ N := by dsimp [N,prodBits]; simp only [pairBits_length,natBits_length]; omega
have hp : p.1 ≤ N := by dsimp [N,prodBits]; simp only [pairBits_length,natBits_length]; omega
have hv : p.2.1 ≤ N := by
have hh := vertices_le_code p.2
dsimp [N,prodBits]; simp only [pairBits_length,natBits_length]; omega
have hb := capped_iterate_bound H k p
change (prodBits natBits (prodBits natBits (code (q := d*d)))
(l,Iterate.run (capped H) k p)).length ≤ size.eval N
simp only [prodBits,pairBits_length,natBits_length,hb.1,size,
Polynomial.eval_mul,Polynomial.eval_C,Polynomial.eval_pow,
Polynomial.eval_add,Polynomial.eval_X,Polynomial.eval_one]
exact encoding_bound Q g n p.1 p.2.1 _ l N _ hn hp hv (by omega) hb.2 (code_bound _)
end ExpandMachine
end VertexCover.Machine
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
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end
end
end
end OAI