import Mathlib.Algebra.BigOperators.Ring.Finset import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.Fintype.Sum import Mathlib.Data.List.OfFn import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.Linarith import Mathlib.Tactic.NormNum import OAI.Computability.BinPacking.Computation.MachineRegularDummyRow import OAI.Computability.BinPacking.Expanders.PreprocessingTableSpectral namespace OAI namespace BinPackingGames.Foundations.PCP.VertexPadding open scoped BigOperators variable {V D A : Type*} def reverseFunction (G : ConstraintGraph V (V × D) A) (extra : ℕ) : (V ⊕ Fin extra) × D → (V ⊕ Fin extra) × D | (Sum.inl v, d) => (Sum.inl (G.reverse (v, d)).1, (G.reverse (v, d)).2) | (Sum.inr w, d) => (Sum.inr w, d) theorem reverseFunction_involutive (G : ConstraintGraph V (V × D) A) (extra : ℕ) : Function.Involutive (reverseFunction G extra) := by rintro ⟨v | w, d⟩ · change (Sum.inl (G.reverse (G.reverse (v, d))).1, (G.reverse (G.reverse (v, d))).2) = (Sum.inl v, d) rw [G.reverse_involutive] · rfl def pad (G : ConstraintGraph V (V × D) A) (extra : ℕ) : ConstraintGraph (V ⊕ Fin extra) ((V ⊕ Fin extra) × D) A where reverse := { toFun := reverseFunction G extra invFun := reverseFunction G extra left_inv := reverseFunction_involutive G extra right_inv := reverseFunction_involutive G extra } reverse_involutive := reverseFunction_involutive G extra tail := Prod.fst accepts := fun e a b => match e.1 with | Sum.inl v => G.accepts (v, e.2) a b | Sum.inr _ => true reverse_accepts := by rintro ⟨v | w, d⟩ a b · change G.accepts (G.reverse (v, d)) b a = G.accepts (v, d) a b exact G.reverse_accepts (v, d) a b · rfl @[simp] theorem pad_tail (G : ConstraintGraph V (V × D) A) (extra : ℕ) : (pad G extra).tail = Prod.fst := rfl @[simp] theorem pad_reverse_inl (G : ConstraintGraph V (V × D) A) (extra : ℕ) (v : V) (d : D) : (pad G extra).reverse (Sum.inl v, d) = (Sum.inl (G.reverse (v, d)).1, (G.reverse (v, d)).2) := rfl @[simp] theorem pad_reverse_inr (G : ConstraintGraph V (V × D) A) (extra : ℕ) (w : Fin extra) (d : D) : (pad G extra).reverse (Sum.inr w, d) = (Sum.inr w, d) := rfl @[simp] theorem edgeSatisfied_inl (G : ConstraintGraph V (V × D) A) (htail : G.tail = Prod.fst) (extra : ℕ) (labeling : V ⊕ Fin extra → A) (v : V) (d : D) : (pad G extra).edgeSatisfied labeling (Sum.inl v, d) = G.edgeSatisfied (fun v => labeling (Sum.inl v)) (v, d) := by change G.accepts (v, d) (labeling (Sum.inl v)) (labeling (Sum.inl (G.reverse (v, d)).1)) = G.accepts (v, d) (labeling (Sum.inl (G.tail (v, d)))) (labeling (Sum.inl (G.tail (G.reverse (v, d))))) rw [htail] @[simp] theorem edgeSatisfied_inr (G : ConstraintGraph V (V × D) A) (extra : ℕ) (labeling : V ⊕ Fin extra → A) (w : Fin extra) (d : D) : (pad G extra).edgeSatisfied labeling (Sum.inr w, d) = true := rfl def extendLabeling (extra : ℕ) (defaultA : A) (labeling : V → A) : V ⊕ Fin extra → A := Sum.elim labeling (fun _ => defaultA) @[simp] theorem extendLabeling_inl (extra : ℕ) (defaultA : A) (labeling : V → A) (v : V) : extendLabeling extra defaultA labeling (Sum.inl v) = labeling v := rfl @[simp] theorem extendLabeling_inr (extra : ℕ) (defaultA : A) (labeling : V → A) (w : Fin extra) : extendLabeling extra defaultA labeling (Sum.inr w) = defaultA := rfl theorem pad_satisfiable (G : ConstraintGraph V (V × D) A) (htail : G.tail = Prod.fst) (extra : ℕ) (defaultA : A) (hG : G.Satisfiable) : (pad G extra).Satisfiable := by obtain ⟨labeling, hlabeling⟩ := hG refine ⟨extendLabeling extra defaultA labeling, ?_⟩ rintro ⟨v | w, d⟩ · simpa only [edgeSatisfied_inl G htail, extendLabeling_inl] using hlabeling (v, d) · rfl theorem satisfiable_of_pad (G : ConstraintGraph V (V × D) A) (htail : G.tail = Prod.fst) (extra : ℕ) (hG : (pad G extra).Satisfiable) : G.Satisfiable := by obtain ⟨labeling, hlabeling⟩ := hG refine ⟨fun v => labeling (Sum.inl v), ?_⟩ rintro ⟨v, d⟩ simpa only [edgeSatisfied_inl G htail] using hlabeling (Sum.inl v, d) private theorem rejectionCount_eq_sum {U E : Type*} [Fintype E] (G : ConstraintGraph U E A) (labeling : U → A) : G.rejectionCount labeling = ∑ e, if G.edgeSatisfied labeling e = false then 1 else 0 := by simp [ConstraintGraph.rejectionCount, ConstraintGraph.rejectedDarts] theorem pad_rejectionCount [Fintype V] [Fintype D] (G : ConstraintGraph V (V × D) A) (htail : G.tail = Prod.fst) (extra : ℕ) (labeling : V ⊕ Fin extra → A) : (pad G extra).rejectionCount labeling = G.rejectionCount (fun v => labeling (Sum.inl v)) := by classical simp only [rejectionCount_eq_sum, Fintype.sum_prod_type, Fintype.sum_sum_type] simp only [edgeSatisfied_inl G htail, edgeSatisfied_inr] simp variable (V : Type*) [Fintype V] def extraVertices : ℕ := ExpanderFamily.size (Fintype.card V) - Fintype.card V abbrev Vertex := V ⊕ Fin (extraVertices V) theorem card_vertex : Fintype.card (Vertex V) = ExpanderFamily.size (Fintype.card V) := by rw [Fintype.card_sum, Fintype.card_fin] exact Nat.add_sub_of_le (ExpanderFamily.le_size _) theorem le_card_vertex : Fintype.card V ≤ Fintype.card (Vertex V) := by rw [card_vertex] exact ExpanderFamily.le_size _ theorem card_vertex_le [Nonempty V] : Fintype.card (Vertex V) ≤ ExpanderFamily.growth * Fintype.card V := by rw [card_vertex] exact ExpanderFamily.size_le_mul Fintype.card_pos noncomputable def familyVertexEquiv : Vertex V ≃ ExpanderFamily.Vertex (ExpanderFamily.level (Fintype.card V)) := Fintype.equivOfCardEq (by rw [card_vertex, ExpanderFamily.card_vertex] rfl) variable {V} def paddedG (G : ConstraintGraph V (V × D) A) : ConstraintGraph (Vertex V) (Vertex V × D) A := pad G (extraVertices V) @[simp] theorem paddedG_tail (G : ConstraintGraph V (V × D) A) : (paddedG G).tail = Prod.fst := rfl theorem paddedG_rejectionCount [Fintype D] (G : ConstraintGraph V (V × D) A) (htail : G.tail = Prod.fst) (labeling : Vertex V → A) : (paddedG G).rejectionCount labeling = G.rejectionCount (fun v => labeling (Sum.inl v)) := pad_rejectionCount G htail (extraVertices V) labeling theorem rejectionCount_eq [Fintype D] (G : ConstraintGraph V (V × D) A) (htail : G.tail = Prod.fst) (labeling : Vertex V → A) : (paddedG G).rejectionCount labeling = G.rejectionCount (fun v => labeling (Sum.inl v)) := paddedG_rejectionCount G htail labeling def liftLabel (defaultA : A) (labeling : V → A) : Vertex V → A := extendLabeling (extraVertices V) defaultA labeling @[simp] theorem liftLabel_inl (defaultA : A) (labeling : V → A) (v : V) : liftLabel defaultA labeling (Sum.inl v) = labeling v := rfl @[simp] theorem liftLabel_inr (defaultA : A) (labeling : V → A) (w : Fin (extraVertices V)) : liftLabel defaultA labeling (Sum.inr w) = defaultA := rfl theorem rejectionCount_liftLabel [Fintype D] (G : ConstraintGraph V (V × D) A) (htail : G.tail = Prod.fst) (defaultA : A) (labeling : V → A) : (paddedG G).rejectionCount (liftLabel defaultA labeling) = G.rejectionCount labeling := by simpa only [liftLabel_inl] using paddedG_rejectionCount G htail (liftLabel defaultA labeling) theorem paddedG_satisfiable (G : ConstraintGraph V (V × D) A) (htail : G.tail = Prod.fst) (defaultA : A) (hG : G.Satisfiable) : (paddedG G).Satisfiable := pad_satisfiable G htail (extraVertices V) defaultA hG theorem card_padded_darts [Fintype D] : Fintype.card (Vertex V × D) = ExpanderFamily.size (Fintype.card V) * Fintype.card D := by rw [Fintype.card_prod, card_vertex] theorem card_padded_darts_le [Fintype D] [Nonempty V] : Fintype.card (Vertex V × D) ≤ ExpanderFamily.growth * Fintype.card (V × D) := by rw [Fintype.card_prod, Fintype.card_prod, ← Nat.mul_assoc] exact Nat.mul_le_mul_right (Fintype.card D) (card_vertex_le V) end BinPackingGames.Foundations.PCP.VertexPadding namespace BinPackingGames.Foundations.PCP.PreprocessingPaddingTables open PoweringWalks PortTables variable {n m d : Nat} def vertexEquiv (h : n ≤ m) : Fin n ⊕ Fin (m - n) ≃ Fin m := finSumFinEquiv.trans (finCongr (Nat.add_sub_of_le h)) @[simp] theorem vertexEquiv_inl (h : n ≤ m) (v : Fin n) : vertexEquiv h (Sum.inl v) = v.castLE h := rfl @[simp] theorem vertexEquiv_inr_val (h : n ≤ m) (v : Fin (m - n)) : (vertexEquiv h (Sum.inr v)).val = n + v.val := rfl @[simp] theorem vertexEquiv_symm_old (h : n ≤ m) (v : Fin n) : (vertexEquiv h).symm (v.castLE h) = Sum.inl v := (vertexEquiv h).symm_apply_apply (Sum.inl v) def dartEquiv (h : n ≤ m) : (Fin n ⊕ Fin (m - n)) × Fin d ≃ Fin m × Fin d := Equiv.prodCongr (vertexEquiv h) (Equiv.refl _) @[simp] theorem dartEquiv_apply (h : n ≤ m) (v : Fin n ⊕ Fin (m - n)) (p : Fin d) : dartEquiv h (v, p) = (vertexEquiv h v, p) := rfl def sumGraph (table : Table n d) (m : Nat) : ConstraintGraph (Fin n ⊕ Fin (m - n)) ((Fin n ⊕ Fin (m - n)) × Fin d) Label := VertexPadding.pad (baseGraph table) (m - n) def paddedGraph (table : Table n d) (h : n ≤ m) : ConstraintGraph (Fin m) (Fin m × Fin d) Label where reverse := ((dartEquiv h).symm.trans (sumGraph table m).reverse).trans (dartEquiv h) reverse_involutive e := by change dartEquiv h ((sumGraph table m).reverse ((dartEquiv h).symm (dartEquiv h ((sumGraph table m).reverse ((dartEquiv h).symm e))))) = e rw [Equiv.symm_apply_apply, (sumGraph table m).reverse_involutive, Equiv.apply_symm_apply] tail := Prod.fst accepts e a b := (sumGraph table m).accepts ((dartEquiv h).symm e) a b reverse_accepts e a b := by change (sumGraph table m).accepts ((dartEquiv h).symm (dartEquiv h ((sumGraph table m).reverse ((dartEquiv h).symm e)))) b a = _ rw [Equiv.symm_apply_apply] exact (sumGraph table m).reverse_accepts _ _ _ theorem paddedGraph_reverse_equiv (table : Table n d) (h : n ≤ m) (e : (Fin n ⊕ Fin (m - n)) × Fin d) : (paddedGraph table h).reverse (dartEquiv h e) = dartEquiv h ((sumGraph table m).reverse e) := by change dartEquiv h ((sumGraph table m).reverse ((dartEquiv h).symm (dartEquiv h e))) = _ rw [Equiv.symm_apply_apply] theorem paddedGraph_accepts_equiv (table : Table n d) (h : n ≤ m) (e : (Fin n ⊕ Fin (m - n)) × Fin d) (a b : Label) : (paddedGraph table h).accepts (dartEquiv h e) a b = (sumGraph table m).accepts e a b := by change (sumGraph table m).accepts ((dartEquiv h).symm (dartEquiv h e)) a b = _ rw [Equiv.symm_apply_apply] def pad (table : Table n d) (h : n ≤ m) : Table m d := ofPortGraph { rot := (paddedGraph table h).reverse rot_involutive := (paddedGraph table h).reverse_involutive } (paddedGraph table h).accepts (paddedGraph table h).reverse_accepts @[simp] theorem rotation_pad (table : Table n d) (h : n ≤ m) (e : Fin m × Fin d) : rotation (pad table h) e = (paddedGraph table h).reverse e := by exact rotation_ofPortGraph _ _ _ e @[simp] theorem accepts_pad (table : Table n d) (h : n ≤ m) (e : Fin m × Fin d) (a b : Label) : PortTables.accepts (pad table h) e a b = (paddedGraph table h).accepts e a b := by exact accepts_ofPortGraph _ _ _ e a b theorem pad_valid (table : Table n d) (h : n ≤ m) : Function.Involutive (rotation (pad table h)) ∧ ∀ e a b, PortTables.accepts (pad table h) (rotation (pad table h) e) b a = PortTables.accepts (pad table h) e a b := ⟨rotation_involutive (pad table h), accepts_rotation (pad table h)⟩ private theorem constraintGraph_ext {V E A : Type*} {G H : ConstraintGraph V E A} (hr : ∀ e, G.reverse e = H.reverse e) (ht : G.tail = H.tail) (hp : G.accepts = H.accepts) : G = H := by cases G with | mk reverse hinv tail accepts htranspose => cases H with | mk reverse' hinv' tail' accepts' htranspose' => dsimp only at hr ht hp have he : reverse = reverse' := Equiv.ext hr cases he cases ht cases hp rfl @[simp] theorem baseGraph_pad (table : Table n d) (h : n ≤ m) : baseGraph (pad table h) = paddedGraph table h := by apply constraintGraph_ext · exact rotation_pad table h · rfl · funext e a b exact accepts_pad table h e a b theorem rotation_pad_equiv (table : Table n d) (h : n ≤ m) (v : Fin n ⊕ Fin (m - n)) (p : Fin d) : rotation (pad table h) (vertexEquiv h v, p) = (vertexEquiv h ((sumGraph table m).reverse (v, p)).1, ((sumGraph table m).reverse (v, p)).2) := by rw [rotation_pad] exact paddedGraph_reverse_equiv table h (v, p) @[simp] theorem rotation_pad_old (table : Table n d) (h : n ≤ m) (v : Fin n) (p : Fin d) : rotation (pad table h) (v.castLE h, p) = ((rotation table (v, p)).1.castLE h, (rotation table (v, p)).2) := by simpa only [sumGraph, VertexPadding.pad_reverse_inl, baseGraph_reverse, vertexEquiv_inl] using rotation_pad_equiv table h (Sum.inl v) p @[simp] theorem rotation_pad_new (table : Table n d) (h : n ≤ m) (v : Fin (m - n)) (p : Fin d) : rotation (pad table h) (vertexEquiv h (Sum.inr v), p) = (vertexEquiv h (Sum.inr v), p) := by simpa only [sumGraph, VertexPadding.pad_reverse_inr] using rotation_pad_equiv table h (Sum.inr v) p @[simp] theorem accepts_pad_old (table : Table n d) (h : n ≤ m) (v : Fin n) (p : Fin d) (a b : Label) : PortTables.accepts (pad table h) (v.castLE h, p) a b = PortTables.accepts table (v, p) a b := by rw [accepts_pad] exact paddedGraph_accepts_equiv table h (Sum.inl v, p) a b @[simp] theorem accepts_pad_new (table : Table n d) (h : n ≤ m) (v : Fin (m - n)) (p : Fin d) (a b : Label) : PortTables.accepts (pad table h) (vertexEquiv h (Sum.inr v), p) a b = true := by rw [accepts_pad] exact paddedGraph_accepts_equiv table h (Sum.inr v, p) a b theorem reverseIndex_pad_old (table : Table n d) (h : n ≤ m) (v : Fin n) (p : Fin d) : (pad table h).reverseIndex[rowIndex m d (v.castLE h, p)] = rowIndex m d ((rotation table (v, p)).1.castLE h, (rotation table (v, p)).2) := by rw [← rowIndex_rotation, rotation_pad_old] theorem reverseIndex_pad_new (table : Table n d) (h : n ≤ m) (v : Fin (m - n)) (p : Fin d) : (pad table h).reverseIndex[rowIndex m d (vertexEquiv h (Sum.inr v), p)] = rowIndex m d (vertexEquiv h (Sum.inr v), p) := by rw [← rowIndex_rotation, rotation_pad_new] private theorem relation_ext {r s : GraphTables.RelationTable} (h : ∀ a b, GraphTables.relationAt r a b = GraphTables.relationAt s a b) : r = s := by apply Vector.ext intro i hi simpa only [GraphTables.relationAt, Prod.eta, Equiv.apply_symm_apply, Fin.getElem_fin] using h (GraphTables.relationIndex.symm ⟨i, hi⟩).1 (GraphTables.relationIndex.symm ⟨i, hi⟩).2 theorem relations_pad_old (table : Table n d) (h : n ≤ m) (v : Fin n) (p : Fin d) : (pad table h).relations[rowIndex m d (v.castLE h, p)] = table.relations[rowIndex n d (v, p)] := by apply relation_ext intro a b exact accepts_pad_old table h v p a b theorem relations_pad_new (table : Table n d) (h : n ≤ m) (v : Fin (m - n)) (p : Fin d) : (pad table h).relations[rowIndex m d (vertexEquiv h (Sum.inr v), p)] = Vector.replicate 4096 true := by apply relation_ext intro a b simpa only [PortTables.accepts, GraphTables.relationAt, Fin.getElem_fin, Vector.getElem_replicate] using accepts_pad_new table h v p a b theorem paddedGraph_edgeSatisfied_equiv (table : Table n d) (h : n ≤ m) (labeling : Fin m → Label) (e : (Fin n ⊕ Fin (m - n)) × Fin d) : (paddedGraph table h).edgeSatisfied labeling (dartEquiv h e) = (sumGraph table m).edgeSatisfied (fun v => labeling (vertexEquiv h v)) e := by change (sumGraph table m).accepts ((dartEquiv h).symm (dartEquiv h e)) (labeling (dartEquiv h e).1) (labeling (dartEquiv h ((sumGraph table m).reverse ((dartEquiv h).symm (dartEquiv h e)))).1) = (sumGraph table m).accepts e (labeling (vertexEquiv h e.1)) (labeling (vertexEquiv h ((sumGraph table m).reverse e).1)) simp only [Equiv.symm_apply_apply] rfl theorem edgeSatisfied_pad_equiv (table : Table n d) (h : n ≤ m) (labeling : Fin m → Label) (e : (Fin n ⊕ Fin (m - n)) × Fin d) : (baseGraph (pad table h)).edgeSatisfied labeling (dartEquiv h e) = (sumGraph table m).edgeSatisfied (fun v => labeling (vertexEquiv h v)) e := by rw [baseGraph_pad] exact paddedGraph_edgeSatisfied_equiv table h labeling e @[simp] theorem edgeSatisfied_pad_old (table : Table n d) (h : n ≤ m) (labeling : Fin m → Label) (v : Fin n) (p : Fin d) : (baseGraph (pad table h)).edgeSatisfied labeling (v.castLE h, p) = (baseGraph table).edgeSatisfied (fun v => labeling (v.castLE h)) (v, p) := by simpa only [dartEquiv_apply, vertexEquiv_inl, sumGraph, VertexPadding.edgeSatisfied_inl (baseGraph table) rfl] using edgeSatisfied_pad_equiv table h labeling (Sum.inl v, p) @[simp] theorem edgeSatisfied_pad_new (table : Table n d) (h : n ≤ m) (labeling : Fin m → Label) (v : Fin (m - n)) (p : Fin d) : (baseGraph (pad table h)).edgeSatisfied labeling (vertexEquiv h (Sum.inr v), p) = true := by simpa only [dartEquiv_apply, sumGraph, VertexPadding.edgeSatisfied_inr] using edgeSatisfied_pad_equiv table h labeling (Sum.inr v, p) theorem pad_rejectionCount (table : Table n d) (h : n ≤ m) (labeling : Fin m → Label) : (baseGraph (pad table h)).rejectionCount labeling = (baseGraph table).rejectionCount (fun v => labeling (v.castLE h)) := by classical calc (baseGraph (pad table h)).rejectionCount labeling = (sumGraph table m).rejectionCount (fun v => labeling (vertexEquiv h v)) := by unfold ConstraintGraph.rejectionCount symm apply Finset.card_equiv (dartEquiv h) intro e simp only [ConstraintGraph.mem_rejectedDarts, edgeSatisfied_pad_equiv] _ = (baseGraph table).rejectionCount (fun v => labeling (v.castLE h)) := by simpa only [sumGraph, vertexEquiv_inl] using VertexPadding.pad_rejectionCount (baseGraph table) rfl (m - n) (fun v => labeling (vertexEquiv h v)) theorem pad_labeling_satisfies_iff (table : Table n d) (h : n ≤ m) (labeling : Fin m → Label) : (∀ e, (baseGraph (pad table h)).edgeSatisfied labeling e = true) ↔ ∀ e, (baseGraph table).edgeSatisfied (fun v => labeling (v.castLE h)) e = true := by constructor · intro hs e simpa only [edgeSatisfied_pad_old] using hs (e.1.castLE h, e.2) · intro hs e obtain ⟨v, hv⟩ := (vertexEquiv h).surjective e.1 have he : e = (vertexEquiv h v, e.2) := Prod.ext hv.symm rfl rw [he] cases v with | inl v => simpa only [vertexEquiv_inl, edgeSatisfied_pad_old] using hs (v, e.2) | inr v => exact edgeSatisfied_pad_new table h labeling v e.2 def extendLabeling (h : n ≤ m) (labeling : Fin n → Label) : Fin m → Label := fun v => Sum.elim labeling (fun _ => 0) ((vertexEquiv h).symm v) @[simp] theorem extendLabeling_old (h : n ≤ m) (labeling : Fin n → Label) (v : Fin n) : extendLabeling h labeling (v.castLE h) = labeling v := by simp only [extendLabeling, vertexEquiv_symm_old, Sum.elim_inl] theorem pad_satisfiable_iff (table : Table n d) (h : n ≤ m) : (baseGraph (pad table h)).Satisfiable ↔ (baseGraph table).Satisfiable := by constructor · rintro ⟨labeling, hs⟩ exact ⟨fun v => labeling (v.castLE h), (pad_labeling_satisfies_iff table h labeling).1 hs⟩ · rintro ⟨labeling, hs⟩ refine ⟨extendLabeling h labeling, (pad_labeling_satisfies_iff table h _).2 ?_⟩ simpa only [extendLabeling_old] using hs end BinPackingGames.Foundations.PCP.PreprocessingPaddingTables noncomputable section namespace BinPackingGames.Foundations.PCP.Preprocessing open PoweringWalks SpectralReturn variable {V E A : Type*} [Fintype V] [Fintype E] [Fintype A] [DecidableEq V] [DecidableEq E] [DecidableEq A] [Nonempty E] [Nonempty A] abbrev Vertex (G : ConstraintGraph V E A) := VertexPadding.Vertex (Regularization.Vertex G) abbrev OverlayPort := Regularization.Port ⊕ ExpanderFamily.Port abbrev Port := Bool × OverlayPort def degree : Nat := 2 * (2 * Expanders.baseDegree ^ 2 + 1) def sizeFactor : Nat := ExpanderFamily.growth ^ 2 * degree private theorem card_lazy_sum {X Y : Type*} [Fintype X] [Fintype Y] (a b : Nat) (hX : Fintype.card X = a) (hY : Fintype.card Y = b) : Fintype.card (Bool × (X ⊕ Y)) = 2 * (a + b) := by rw [Fintype.card_prod, Fintype.card_bool, Fintype.card_sum, hX, hY] private theorem doubled_add (a : Nat) : 2 * (2 * a + 1) = 2 * ((a + 1) + a) := by omega theorem degree_eq_card : degree = Fintype.card Port := by have hr : Fintype.card Regularization.Port = Expanders.baseDegree ^ 2 + 1 := Regularization.degree_eq.trans (congrArg (fun n : Nat => n + 1) ExpanderFamily.card_port) have hp : Fintype.card Port = 2 * ((Expanders.baseDegree ^ 2 + 1) + Expanders.baseDegree ^ 2) := card_lazy_sum _ _ hr ExpanderFamily.card_port exact (doubled_add _).trans hp.symm theorem degree_positive : 0 < degree := by unfold degree omega theorem sizeFactor_positive : 0 < sizeFactor := by have hg : 0 < ExpanderFamily.growth := Nat.zero_lt_one.trans ExpanderFamily.growth_gt_one exact Nat.mul_pos (Nat.pow_pos hg) degree_positive def paddedGraph (G : ConstraintGraph V E A) : ConstraintGraph (Vertex G) (Vertex G × Regularization.Port) A := VertexPadding.paddedG (Regularization.graph G) def overlayExpander (G : ConstraintGraph V E A) : PortGraph (Vertex G) ExpanderFamily.Port := GraphTransport.reindex (ExpanderFamily.family (ExpanderFamily.level (Fintype.card (Regularization.Vertex G)))) (VertexPadding.familyVertexEquiv (Regularization.Vertex G)).symm (Equiv.refl _) omit [Fintype A] [DecidableEq E] [DecidableEq A] [Nonempty E] [Nonempty A] in theorem overlayExpander_certificate (G : ConstraintGraph V E A) : SpectralCertificate (overlayExpander G) (1 / 2 : ℝ) := GraphTransport.reindex_spectralCertificate _ _ _ _ (ExpanderFamily.family_certificate _) def overlayGraph (G : ConstraintGraph V E A) : ConstraintGraph (Vertex G) (Vertex G × OverlayPort) A := Overlay.constraintGraph (paddedGraph G) (overlayExpander G) def graph (G : ConstraintGraph V E A) : ConstraintGraph (Vertex G) (Vertex G × Port) A := LazyConstraint.constraintGraph (overlayGraph G) def portGraph (G : ConstraintGraph V E A) : PortGraph (Vertex G) Port := Overlay.originalPortGraph (graph G) omit [Fintype A] [DecidableEq E] [Nonempty E] [Nonempty A] in @[simp] theorem graph_tail (G : ConstraintGraph V E A) : (graph G).tail = Prod.fst := rfl omit [Fintype A] [DecidableEq E] [Nonempty E] [Nonempty A] in @[simp] theorem graph_reverse (G : ConstraintGraph V E A) : (graph G).reverse = (portGraph G).rot := rfl omit [Fintype A] [DecidableEq E] [Nonempty E] [Nonempty A] in theorem accepts_reverse (G : ConstraintGraph V E A) (e : Vertex G × Port) (a b : A) : (graph G).accepts ((portGraph G).rot e) b a = (graph G).accepts e a b := (graph G).reverse_accepts e a b omit [Fintype A] [DecidableEq E] [Nonempty E] [Nonempty A] in theorem portGraph_eq_lazyGraph (G : ConstraintGraph V E A) : portGraph G = lazyGraph (Overlay.originalPortGraph (overlayGraph G)) := rfl omit [Fintype A] [DecidableEq E] [Nonempty A] in theorem overlayGraph_certificate (G : ConstraintGraph V E A) : SpectralCertificate (Overlay.originalPortGraph (overlayGraph G)) (7 / 8 : ℝ) := by apply Overlay.constraintGraph_spectralCertificate · exact Regularization.degree_eq · have h := ExpanderFamily.port_degree_ge_eight omega · exact overlayExpander_certificate G omit [Fintype A] [DecidableEq E] [Nonempty A] in theorem spectral_certificate (G : ConstraintGraph V E A) : SpectralCertificate (portGraph G) (31 / 32 : ℝ) := by rw [portGraph_eq_lazyGraph] exact LazySpectral.lazy_certificate_31_32 _ (overlayGraph_certificate G) omit [Fintype A] [DecidableEq E] [DecidableEq A] [Nonempty A] in theorem vertex_count_le (G : ConstraintGraph V E A) : Fintype.card (Vertex G) ≤ ExpanderFamily.growth ^ 2 * Fintype.card E := by calc _ ≤ ExpanderFamily.growth * Fintype.card (Regularization.Vertex G) := VertexPadding.card_vertex_le _ _ ≤ ExpanderFamily.growth * (ExpanderFamily.growth * Fintype.card E) := Nat.mul_le_mul_left _ (Regularization.vertex_count_le G) _ = _ := by ring omit [Fintype A] [DecidableEq E] [DecidableEq A] [Nonempty E] [Nonempty A] in theorem dart_count (G : ConstraintGraph V E A) : Fintype.card (Vertex G × Port) = Fintype.card (Vertex G) * degree := by rw [Fintype.card_prod, ← degree_eq_card] omit [Fintype A] [DecidableEq E] [DecidableEq A] [Nonempty A] in theorem dart_count_le (G : ConstraintGraph V E A) : Fintype.card (Vertex G × Port) ≤ sizeFactor * Fintype.card E := by rw [dart_count] calc _ ≤ (ExpanderFamily.growth ^ 2 * Fintype.card E) * degree := Nat.mul_le_mul_right degree (vertex_count_le G) _ = _ := Nat.mul_right_comm _ _ _ def liftLabel (G : ConstraintGraph V E A) (labeling : V → A) : Vertex G → A := VertexPadding.liftLabel (Classical.choice ‹Nonempty A›) (Regularization.liftLabel G labeling) omit [Fintype A] [DecidableEq E] [Nonempty E] in theorem lift_rejectionCount (G : ConstraintGraph V E A) (labeling : V → A) : (graph G).rejectionCount (liftLabel G labeling) = G.rejectionCount labeling := by unfold graph rw [LazyConstraint.rejectionCount_eq _ rfl] unfold overlayGraph rw [Overlay.rejectionCount_eq _ _ rfl] unfold paddedGraph liftLabel rw [VertexPadding.rejectionCount_liftLabel _ rfl] exact Regularization.lift_rejectionCount G labeling omit [Fintype A] [DecidableEq E] [Nonempty E] in theorem completeness (G : ConstraintGraph V E A) (hG : G.Satisfiable) : (graph G).Satisfiable := by apply (LazyConstraint.satisfiable_iff _ rfl).mpr apply (Overlay.satisfiable_iff _ _ rfl).mpr exact VertexPadding.paddedG_satisfiable (Regularization.graph G) rfl (Classical.choice ‹Nonempty A›) (Regularization.completeness G hG) def roundLabels (G : ConstraintGraph V E A) (labeling : Vertex G → A) : V → A := Regularization.roundLabels G (fun v => labeling (Sum.inl v)) omit [Nonempty E] in theorem soundness (G : ConstraintGraph V E A) (labeling : Vertex G → A) : G.rejectionCount (roundLabels G labeling) ≤ (graph G).rejectionCount labeling := by calc _ ≤ (Regularization.graph G).rejectionCount (fun v => labeling (Sum.inl v)) := Regularization.soundness G _ _ = (paddedGraph G).rejectionCount labeling := (VertexPadding.paddedG_rejectionCount (Regularization.graph G) rfl labeling).symm _ = (overlayGraph G).rejectionCount labeling := (Overlay.rejectionCount_eq (paddedGraph G) (overlayExpander G) rfl labeling).symm _ = (graph G).rejectionCount labeling := (LazyConstraint.rejectionCount_eq (overlayGraph G) rfl labeling).symm omit [Nonempty E] in theorem satisfiable_iff (G : ConstraintGraph V E A) : (graph G).Satisfiable ↔ G.Satisfiable := by constructor · rintro ⟨labeling, hlabel⟩ by_contra hG have hpositive := G.rejectionCount_positive hG (roundLabels G labeling) have hzero : (graph G).rejectionCount labeling = 0 := by simp [ConstraintGraph.rejectionCount, ConstraintGraph.rejectedDarts, hlabel] have hsound := soundness G labeling omega · exact completeness G theorem gap_transfer (G : ConstraintGraph V E A) (epsilon : ℚ) (he : 0 ≤ epsilon) (lower : ∀ labeling : V → A, epsilon * Fintype.card E ≤ (G.rejectionCount labeling : ℚ)) (labeling : Vertex G → A) : (epsilon / sizeFactor) * Fintype.card (Vertex G × Port) ≤ ((graph G).rejectionCount labeling : ℚ) := by have hfactor : (0 : ℚ) < sizeFactor := by exact_mod_cast sizeFactor_positive have hcard : (Fintype.card (Vertex G × Port) : ℚ) ≤ sizeFactor * Fintype.card E := by exact_mod_cast dart_count_le G calc _ ≤ (epsilon / sizeFactor) * (sizeFactor * Fintype.card E) := mul_le_mul_of_nonneg_left hcard (div_nonneg he hfactor.le) _ = epsilon * Fintype.card E := by field_simp _ ≤ (G.rejectionCount (roundLabels G labeling) : ℚ) := lower _ _ ≤ ((graph G).rejectionCount labeling : ℚ) := by exact_mod_cast soundness G labeling theorem gap_transfer_real (G : ConstraintGraph V E A) (epsilon : ℝ) (he : 0 ≤ epsilon) (lower : ∀ labeling : V → A, epsilon * Fintype.card E ≤ (G.rejectionCount labeling : ℝ)) (labeling : Vertex G → A) : (epsilon / sizeFactor) * Fintype.card (Vertex G × Port) ≤ ((graph G).rejectionCount labeling : ℝ) := by have hfactor : (0 : ℝ) < sizeFactor := by exact_mod_cast sizeFactor_positive have hcard : (Fintype.card (Vertex G × Port) : ℝ) ≤ sizeFactor * Fintype.card E := by exact_mod_cast dart_count_le G calc _ ≤ (epsilon / sizeFactor) * (sizeFactor * Fintype.card E) := mul_le_mul_of_nonneg_left hcard (div_nonneg he hfactor.le) _ = epsilon * Fintype.card E := by field_simp _ ≤ (G.rejectionCount (roundLabels G labeling) : ℝ) := lower _ _ ≤ ((graph G).rejectionCount labeling : ℝ) := by exact_mod_cast soundness G labeling end BinPackingGames.Foundations.PCP.Preprocessing end namespace BinPackingGames.Foundations.PCP.PreprocessingPaddingWords open Complexity PortTables variable {n m d : Nat} private theorem encodeWords_flatMap {α : Type*} (xs : List α) (words : α → List Nat) : encodeWords (xs.flatMap words) = xs.flatMap (fun x => encodeWords (words x)) := by induction xs with | nil => rfl | cons x xs ih => simp only [List.flatMap_cons, encodeWords_append, ih] theorem ofFn_split {α : Type*} (h : n ≤ m) (f : Fin m → α) : List.ofFn f = List.ofFn (fun v : Fin n => f (v.castLE h)) ++ List.ofFn (fun v : Fin (m - n) => f (PreprocessingPaddingTables.vertexEquiv h (.inr v))) := by calc List.ofFn f = List.ofFn (fun v : Fin (n + (m - n)) => f (Fin.cast (Nat.add_sub_of_le h) v)) := List.ofFn_congr (Nat.add_sub_of_le h).symm f _ = _ := by rw [List.ofFn_add]; rfl theorem flatten_ofFn_rowIndex {α : Type*} (f : Fin (n * d) → List α) : (List.ofFn f).flatten = (List.ofFn (fun v : Fin n => (List.ofFn (fun p : Fin d => f (rowIndex n d (v, p)))).flatten)).flatten := by rw [List.ofFn_mul, List.flatten_flatten, List.map_ofFn] apply congrArg List.flatten apply congrArg List.ofFn funext v apply congrArg List.flatten apply congrArg List.ofFn funext p apply congrArg f apply Fin.ext simp only [rowIndex_val, Nat.mul_comm, Nat.add_comm] def rowBits (table : Table n d) (v : Fin n) (p : Fin d) : List Bool := encodeWord v.val ++ encodeWord (table.reverseIndex[rowIndex n d (v, p)]).val ++ encodeWords (GraphTables.relationWords table.relations[rowIndex n d (v, p)]) def vertexBits (table : Table n d) (v : Fin n) : List Bool := (List.ofFn (fun p : Fin d => rowBits table v p)).flatten def rowsBits (table : Table n d) : List Bool := encodeWords ((flatRows table).toList.flatMap GraphTables.rowWords) theorem rowBits_flat (table : Table n d) (i : Fin (n * d)) : encodeWords (GraphTables.rowWords ((flatRows table)[i])) = rowBits table ((rowIndex n d).symm i).1 ((rowIndex n d).symm i).2 := by simp only [flatRows, Vector.getElem_ofFn, Fin.getElem_fin, MachineTableRows.rowBits_eq, rowBits, Prod.eta, Equiv.apply_symm_apply] theorem rowsBits_eq_vertices (table : Table n d) : rowsBits table = (List.ofFn (fun v : Fin n => vertexBits table v)).flatten := by have hflat : (flatRows table).toList = List.ofFn (fun i : Fin (n * d) => (flatRows table)[i]) := by simp only [flatRows, Vector.toList_ofFn, Vector.getElem_ofFn, Fin.getElem_fin] unfold rowsBits rw [hflat, encodeWords_flatMap, List.flatMap_def, List.map_ofFn] change (List.ofFn (fun i : Fin (n * d) => encodeWords (GraphTables.rowWords ((flatRows table)[i])))).flatten = _ simp_rw [rowBits_flat] simpa only [Equiv.symm_apply_apply, vertexBits] using flatten_ofFn_rowIndex (fun i : Fin (n * d) => rowBits table ((rowIndex n d).symm i).1 ((rowIndex n d).symm i).2) theorem rowBits_pad_old (table : Table n d) (h : n ≤ m) (v : Fin n) (p : Fin d) : rowBits (PreprocessingPaddingTables.pad table h) (v.castLE h) p = rowBits table v p := by unfold rowBits rw [PreprocessingPaddingTables.reverseIndex_pad_old, PreprocessingPaddingTables.relations_pad_old] have he : (rowIndex m d ((rotation table (v, p)).1.castLE h, (rotation table (v, p)).2)).val = (table.reverseIndex[rowIndex n d (v, p)]).val := by rw [← rowIndex_rotation] rfl rw [he] rfl theorem rowBits_pad_new (table : Table n d) (h : n ≤ m) (v : Fin (m - n)) (p : Fin d) : rowBits (PreprocessingPaddingTables.pad table h) (PreprocessingPaddingTables.vertexEquiv h (.inr v)) p = MachineDummyRows.rowBits (n + v.val) (p.val + d * (n + v.val)) := by unfold rowBits rw [PreprocessingPaddingTables.reverseIndex_pad_new, PreprocessingPaddingTables.relations_pad_new] rfl theorem dummy_rowsBits_eq_ofFn (v e count : Nat) : MachineDummyRows.rowsBits v e count = (List.ofFn (fun p : Fin count => MachineDummyRows.rowBits v (e + p.val))).flatten := by induction count generalizing e with | zero => rfl | succ count ih => rw [MachineDummyRows.rowsBits, List.ofFn_succ, List.flatten_cons, ih] simp only [Fin.val_zero, Nat.add_zero, Fin.val_succ] congr 1 apply congrArg (fun f : Fin count → List Bool => (List.ofFn f).flatten) funext p congr 1 omega theorem paddingBits_eq_ofFn (d v e count : Nat) : MachinePaddingRows.paddingBits d v e count = (List.ofFn (fun k : Fin count => MachineDummyRows.rowsBits (v + k.val) (e + k.val * d) d)).flatten := by induction count generalizing v e with | zero => rfl | succ count ih => rw [MachinePaddingRows.paddingBits, List.ofFn_succ, List.flatten_cons, ih] simp only [Fin.val_zero, Nat.zero_mul, Nat.add_zero, Fin.val_succ, Nat.add_mul, Nat.one_mul] congr 1 apply congrArg (fun f : Fin count → List Bool => (List.ofFn f).flatten) funext k congr 1 <;> omega @[simp] theorem vertexBits_pad_old (table : Table n d) (h : n ≤ m) (v : Fin n) : vertexBits (PreprocessingPaddingTables.pad table h) (v.castLE h) = vertexBits table v := by simp only [vertexBits, rowBits_pad_old] theorem vertexBits_pad_new (table : Table n d) (h : n ≤ m) (v : Fin (m - n)) : vertexBits (PreprocessingPaddingTables.pad table h) (PreprocessingPaddingTables.vertexEquiv h (.inr v)) = MachineDummyRows.rowsBits (n + v.val) (n * d + v.val * d) d := by unfold vertexBits simp_rw [rowBits_pad_new] rw [dummy_rowsBits_eq_ofFn] apply congrArg (fun f : Fin d → List Bool => (List.ofFn f).flatten) funext p congr 1 ring theorem rowsBits_pad (table : Table n d) (h : n ≤ m) : rowsBits (PreprocessingPaddingTables.pad table h) = rowsBits table ++ MachinePaddingRows.paddingBits d n (n * d) (m - n) := by rw [rowsBits_eq_vertices, ofFn_split h, List.flatten_append] simp_rw [vertexBits_pad_old, vertexBits_pad_new] rw [← rowsBits_eq_vertices, ← paddingBits_eq_ofFn] theorem tableBits_pad (table : Table n d) (h : n ≤ m) : tableBits (PreprocessingPaddingTables.pad table h) = encodeWords [m, m * d] ++ rowsBits table ++ MachinePaddingRows.paddingBits d n (n * d) (m - n) := by change encodeWords (PortTables.tableWords (PreprocessingPaddingTables.pad table h)) = _ rw [tableWords_eq, encodeWords_append] change encodeWords [m, m * d] ++ rowsBits (PreprocessingPaddingTables.pad table h) = _ rw [rowsBits_pad, List.append_assoc] end BinPackingGames.Foundations.PCP.PreprocessingPaddingWords namespace BinPackingGames.Foundations.PCP.FinalConstants def alphabet : Nat := 64 def compositionLoss : Nat := 12288 def denominator : Nat := 16 * alphabet ^ 4 * 66 * compositionLoss def windowHalf : Nat := denominator * Preprocessing.sizeFactor def windowSize : Nat := 2 * windowHalf + 1 def smoothingScale : Nat := 4 * alphabet * windowHalf def endpointLength : Nat := smoothingScale ^ 2 def walkLength : Nat := 2 * endpointLength + 1 noncomputable def gain : ℝ := (windowSize : ℝ) / denominator noncomputable def cap : ℝ := 1 / (walkLength : ℝ) theorem denominator_positive : 0 < denominator := by norm_num [denominator, alphabet, compositionLoss] theorem windowHalf_positive : 0 < windowHalf := Nat.mul_pos denominator_positive Preprocessing.sizeFactor_positive theorem walkLength_positive : 0 < walkLength := by simp [walkLength] theorem gain_large : 2 * (Preprocessing.sizeFactor : ℝ) ≤ gain := by have hd : (0 : ℝ) < denominator := by exact_mod_cast denominator_positive apply (le_div_iff₀ hd).2 simp only [windowSize, windowHalf, Nat.cast_add, Nat.cast_mul, Nat.cast_ofNat] nlinarith theorem cap_positive : 0 < cap := by exact one_div_pos.mpr (by exact_mod_cast walkLength_positive) theorem cap_le_one : cap ≤ 1 := by apply (div_le_one (by exact_mod_cast walkLength_positive)).2 exact_mod_cast walkLength_positive theorem composed_gap (epsilon : ℝ) (he : 0 ≤ epsilon) : min (2 * epsilon) cap ≤ gain * min (epsilon / (Preprocessing.sizeFactor : ℝ)) (1 / (walkLength : ℝ)) := by have hs : (0 : ℝ) < Preprocessing.sizeFactor := by exact_mod_cast Preprocessing.sizeFactor_positive have hs1 : (1 : ℝ) ≤ Preprocessing.sizeFactor := by exact_mod_cast Preprocessing.sizeFactor_positive have hg : 0 ≤ gain := le_trans (by positivity) gain_large rw [mul_min_of_nonneg _ _ hg] apply min_le_min · calc 2 * epsilon = (2 * (Preprocessing.sizeFactor : ℝ)) * (epsilon / (Preprocessing.sizeFactor : ℝ)) := by field_simp _ ≤ gain * (epsilon / (Preprocessing.sizeFactor : ℝ)) := mul_le_mul_of_nonneg_right gain_large (div_nonneg he hs.le) · change cap ≤ gain * cap have hgain : 1 ≤ gain := by linarith [gain_large] simpa only [one_mul] using mul_le_mul_of_nonneg_right hgain cap_positive.le end BinPackingGames.Foundations.PCP.FinalConstants end OAI