import Mathlib import OAI.Computability.VertexCover.Machines.ExpanderCorrect namespace OAI section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section 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 end end end end end end end end end end end end end OAI