import Mathlib import OAI.Computability.DirectedFeedback.Games.PoweringReach namespace OAI namespace DFVSGames.Foundations.PCP.PoweringTables open PoweringWalks PoweringLabels PoweringAddresses PoweringEnumeration def labelCount (d n : Nat) : Nat := 64 ^ addressCount d (n + 1) def dartCount (vertices d n : Nat) : Nat := 2 * vertices * d ^ (n + 1) def mathematicalGraph {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) : ConstraintGraph (Fin vertices) (PoweringTest.Dart (Fin vertices) (Fin d) n) (PaddedLabel (Fin d) (n + 1) (Fin 64)) := PoweringTest.poweredGraph (PortTables.portGraph input) (PortTables.accepts input) n (finitePortSelector (PortTables.portGraph input) (n + 1)) def rowAccepts {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (e : PoweringTest.Dart (Fin vertices) (Fin d) n) (a b : Fin (labelCount d n)) : Bool := let rows := PoweringOpinionTables.walkRows (PortTables.portGraph input) n e.2 let left := PoweringOpinionTables.labelTable (decodeLabel d (n + 1) 64 a) let right := PoweringOpinionTables.labelTable (decodeLabel d (n + 1) 64 b) if e.1 then PoweringOpinionTables.rowsAccepts (PortTables.accepts input) rows right left else PoweringOpinionTables.rowsAccepts (PortTables.accepts input) rows left right theorem rowAccepts_eq {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (e : PoweringTest.Dart (Fin vertices) (Fin d) n) (a b : Fin (labelCount d n)) : rowAccepts input n e a b = (mathematicalGraph input n).accepts e (decodeLabel d (n + 1) 64 a) (decodeLabel d (n + 1) 64 b) := by rcases e with ⟨direction, w⟩ cases direction <;> simp only [rowAccepts, mathematicalGraph, PoweringTest.poweredGraph, Bool.false_eq_true, ite_false, ite_true, PoweringOpinionTables.rowsAccepts_walkRows] def table {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) : GenericGraphTables.Table (labelCount d n) := GenericGraphTables.ofEnumeratedGraph (mathematicalGraph input n) (Equiv.refl _) (dartEquiv vertices d n) (paddedLabelEquiv d (n + 1) 64) @[simp] theorem table_vertices {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) : (table input n).vertices = vertices := rfl @[simp] theorem table_darts {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) : (table input n).darts = dartCount vertices d n := rfl theorem semantics_table {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) : GenericGraphTables.semantics (table input n) = GenericGraphTables.enumeratedGraph (mathematicalGraph input n) (Equiv.refl _) (dartEquiv vertices d n) (paddedLabelEquiv d (n + 1) 64) := GenericGraphTables.semantics_ofGraph _ theorem table_accepts {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (i : Fin (dartCount vertices d n)) (a b : Fin (labelCount d n)) : GenericGraphTables.acceptsAt (table input n).rows i a b = rowAccepts input n (decodeDart vertices d n i) a b := by change (GenericGraphTables.semantics (table input n)).accepts i a b = _ rw [semantics_table] exact (rowAccepts_eq input n (decodeDart vertices d n i) a b).symm theorem table_reverse {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (direction : Bool) (w : Walk (Fin vertices) (Fin d) (n + 1)) : GenericGraphTables.reverseAt (table input n).rows (encodeDart vertices d n (direction, w)) = encodeDart vertices d n (!direction, w) := by change (GenericGraphTables.semantics (table input n)).reverse _ = _ rw [semantics_table] change dartEquiv vertices d n ((mathematicalGraph input n).reverse ((dartEquiv vertices d n).symm (dartEquiv vertices d n (direction, w)))) = dartEquiv vertices d n (!direction, w) rw [(dartEquiv vertices d n).symm_apply_apply] rfl def outputBits {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) : List Bool := GenericGraphTables.tableBits (table input n) def transform (d n : Nat) (input : PortTables.Input d) : GenericGraphTables.Table (labelCount d n) := table input.2 n end DFVSGames.Foundations.PCP.PoweringTables namespace DFVSGames.Foundations.PCP.PoweringCounting open PoweringWalks PoweringLabels PoweringTest open scoped BigOperators variable {V D A E : Type*} theorem constraint_rejection_mean_eq_count [Fintype E] (H : ConstraintGraph V E A) (labels : V → A) : SpectralReturn.mean (fun e : E => PoweringMoment.bit (H.edgeSatisfied labels e = false)) = (H.rejectionCount labels : ℝ) / (Fintype.card E : ℝ) := by classical rw [SpectralReturn.mean_eq_sum_div_card] simp only [PoweringMoment.bit, ConstraintGraph.rejectionCount, ConstraintGraph.rejectedDarts] apply congrArg (fun x : ℝ => x / (Fintype.card E : ℝ)) convert (Finset.sum_boole (R := ℝ) (fun e => H.edgeSatisfied labels e = false) Finset.univ) using 1 ; try rfl apply Finset.sum_congr rfl intro e _ by_cases h : H.edgeSatisfied labels e = false <;> simp [h] theorem constraint_rejection_lower_iff [Fintype E] (H : ConstraintGraph V E A) (labels : V → A) (hcard : 0 < Fintype.card E) (ε : ℝ) : ε ≤ SpectralReturn.mean (fun e : E => PoweringMoment.bit (H.edgeSatisfied labels e = false)) ↔ ε * (Fintype.card E : ℝ) ≤ (H.rejectionCount labels : ℝ) := by rw [constraint_rejection_mean_eq_count] exact le_div_iff₀ (Nat.cast_pos.mpr hcard) theorem edgeDensity_eq_bit_mean [Fintype V] [Fintype D] (bad : Edge V D → Bool) : SpectralReturn.edgeDensity bad = SpectralReturn.mean (fun e : Edge V D => PoweringMoment.bit (bad e = true)) := by convert (SpectralReturn.mean_prod (fun e : Edge V D => PoweringMoment.bit (bad e = true))).symm using 1 ; try rfl change SpectralReturn.mean (fun v => SpectralReturn.mean (fun d => if bad (v, d) then (1 : ℝ) else 0)) = _ apply congrArg SpectralReturn.mean funext v apply congrArg SpectralReturn.mean funext d cases h : bad (v, d) <;> simp [PoweringMoment.bit] theorem base_edgeDensity_eq_rejection_count [Fintype V] [Fintype D] (G : PortGraph V D) (accepts : Edge V D → A → A → Bool) (reverse_accepts : ∀ e a b, accepts (G.rot e) b a = accepts e a b) (assignment : V → A) : SpectralReturn.edgeDensity (decodedBad G accepts assignment) = ((baseGraph G accepts reverse_accepts).rejectionCount assignment : ℝ) / (Fintype.card (Edge V D) : ℝ) := by calc _ = SpectralReturn.mean (fun e : Edge V D => PoweringMoment.bit (decodedBad G accepts assignment e = true)) := edgeDensity_eq_bit_mean _ _ = SpectralReturn.mean (fun e : Edge V D => PoweringMoment.bit ((baseGraph G accepts reverse_accepts).edgeSatisfied assignment e = false)) := by apply congrArg SpectralReturn.mean funext e exact congrArg PoweringMoment.bit (propext (decodedBad_eq_true_iff G accepts assignment e)) _ = _ := constraint_rejection_mean_eq_count _ _ theorem base_count_lower_to_density [Fintype V] [Fintype D] (G : PortGraph V D) (accepts : Edge V D → A → A → Bool) (reverse_accepts : ∀ e a b, accepts (G.rot e) b a = accepts e a b) (assignment : V → A) (hcard : 0 < Fintype.card (Edge V D)) (ε : ℝ) (hcount : ε * (Fintype.card (Edge V D) : ℝ) ≤ ((baseGraph G accepts reverse_accepts).rejectionCount assignment : ℝ)) : ε ≤ SpectralReturn.edgeDensity (decodedBad G accepts assignment) := by rw [base_edgeDensity_eq_rejection_count G accepts reverse_accepts assignment] exact (le_div_iff₀ (Nat.cast_pos.mpr hcard)).2 hcount theorem powered_rejection_mean_eq_count [Fintype V] [Fintype D] (G : PortGraph V D) (accepts : Edge V D → A → A → Bool) (n : Nat) (selectors : ∀ v, AddressSelector G (n + 1) v) (labels : V → PaddedLabel D (n + 1) A) : SpectralReturn.mean (fun d : Dart V D n => PoweringMoment.bit ((poweredGraph G accepts n selectors).edgeSatisfied labels d = false)) = ((poweredGraph G accepts n selectors).rejectionCount labels : ℝ) / (Fintype.card (Dart V D n) : ℝ) := constraint_rejection_mean_eq_count _ _ theorem path_rejection_mean_eq_count [Fintype V] [Fintype D] (G : PortGraph V D) (accepts : Edge V D → A → A → Bool) (n : Nat) (selectors : ∀ v, AddressSelector G (n + 1) v) (labels : V → PaddedLabel D (n + 1) A) : SpectralReturn.mean (fun w : Walk V D (n + 1) => PoweringMoment.bit (pathAccepts G accepts n selectors w (labels w.1) (labels (endpoint G w)) = false)) = ((poweredGraph G accepts n selectors).rejectionCount labels : ℝ) / (Fintype.card (Dart V D n) : ℝ) := by rw [← rejection_mean_eq_path_mean G accepts n selectors labels] exact powered_rejection_mean_eq_count G accepts n selectors labels theorem powered_density_lower_to_count [Fintype V] [Fintype D] (G : PortGraph V D) (accepts : Edge V D → A → A → Bool) (n : Nat) (selectors : ∀ v, AddressSelector G (n + 1) v) (labels : V → PaddedLabel D (n + 1) A) (hcard : 0 < Fintype.card (Dart V D n)) (ε : ℝ) (hlower : ε ≤ SpectralReturn.mean (fun w : Walk V D (n + 1) => PoweringMoment.bit (pathAccepts G accepts n selectors w (labels w.1) (labels (endpoint G w)) = false))) : ε * (Fintype.card (Dart V D n) : ℝ) ≤ ((poweredGraph G accepts n selectors).rejectionCount labels : ℝ) := by rw [path_rejection_mean_eq_count G accepts n selectors labels] at hlower exact (le_div_iff₀ (Nat.cast_pos.mpr hcard)).1 hlower theorem natCard_dart [Finite V] [Finite D] (n : Nat) : Nat.card (Dart V D n) = 2 * Nat.card V * Nat.card D ^ (n + 1) := by simp [Dart, Walk, Nat.card_prod, Nat.card_fun, Nat.mul_assoc] theorem fintypeCard_dart [Fintype V] [Fintype D] (n : Nat) : Fintype.card (Dart V D n) = 2 * Fintype.card V * Fintype.card D ^ (n + 1) := by simpa only [Nat.card_eq_fintype_card] using (natCard_dart (V := V) (D := D) n) theorem natCard_poweredAlphabet [Finite D] [Finite A] (n : Nat) : Nat.card (PaddedLabel D (n + 1) A) = Nat.card A ^ (∑ j : Fin (n + 2), Nat.card D ^ j.val) := PoweringLabels.card_paddedLabel (n + 1) theorem natCard_finitePortAlphabet [Finite A] (d n : Nat) : Nat.card (PaddedLabel (Fin d) (n + 1) A) = Nat.card A ^ (PoweringAddresses.allAddresses d (n + 1)).length := by rw [PoweringLabels.card_paddedLabel, PoweringAddresses.length_allAddresses] simp only [Nat.card_fin] end DFVSGames.Foundations.PCP.PoweringCounting namespace DFVSGames.Foundations.PCP.PoweringTableSemantics open PoweringWalks PoweringLabels PoweringAddresses PoweringEnumeration PoweringTables abbrev RawLabeling (vertices d n : Nat) := Fin vertices → PaddedLabel (Fin d) (n + 1) (Fin 64) abbrev EncodedLabeling (vertices d n : Nat) := Fin vertices → Fin (labelCount d n) def encodeLabeling {vertices : Nat} (d n : Nat) (labels : RawLabeling vertices d n) : EncodedLabeling vertices d n := fun v => encodeLabel d (n + 1) 64 (labels v) def decodeLabeling {vertices : Nat} (d n : Nat) (labels : EncodedLabeling vertices d n) : RawLabeling vertices d n := fun v => decodeLabel d (n + 1) 64 (labels v) @[simp] theorem decodeLabeling_encodeLabeling {vertices : Nat} (d n : Nat) (labels : RawLabeling vertices d n) : decodeLabeling d n (encodeLabeling d n labels) = labels := by funext v exact decodeLabel_encodeLabel d (n + 1) 64 (labels v) @[simp] theorem encodeLabeling_decodeLabeling {vertices : Nat} (d n : Nat) (labels : EncodedLabeling vertices d n) : encodeLabeling d n (decodeLabeling d n labels) = labels := by funext v exact encodeLabel_decodeLabel d (n + 1) 64 (labels v) theorem edgeSatisfied_encoded {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (labels : RawLabeling vertices d n) (e : PoweringTest.Dart (Fin vertices) (Fin d) n) : (GenericGraphTables.semantics (table input n)).edgeSatisfied (encodeLabeling (vertices := vertices) d n labels) (encodeDart vertices d n e) = (mathematicalGraph input n).edgeSatisfied labels e := by rw [semantics_table] unfold encodeLabeling encodeLabel encodeDart exact GenericGraphTables.enumeratedGraph_edgeSatisfied (mathematicalGraph input n) (Equiv.refl _) (dartEquiv vertices d n) (paddedLabelEquiv d (n + 1) 64) labels e theorem edgeSatisfied_decoded {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (labels : EncodedLabeling vertices d n) (i : Fin (dartCount vertices d n)) : (GenericGraphTables.semantics (table input n)).edgeSatisfied labels i = (mathematicalGraph input n).edgeSatisfied (decodeLabeling d n labels) (decodeDart vertices d n i) := by simpa only [encodeLabeling_decodeLabeling d n labels, encodeDart_decodeDart vertices d n i] using edgeSatisfied_encoded input n (decodeLabeling d n labels) (decodeDart vertices d n i) theorem edgeSatisfied_eq_path {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (labels : EncodedLabeling vertices d n) (direction : Bool) (w : Walk (Fin vertices) (Fin d) (n + 1)) : (GenericGraphTables.semantics (table input n)).edgeSatisfied labels (encodeDart vertices d n (direction, w)) = PoweringTest.pathAccepts (PortTables.portGraph input) (PortTables.accepts input) n (finitePortSelector (PortTables.portGraph input) (n + 1)) w (decodeLabeling d n labels w.1) (decodeLabeling d n labels (endpoint (PortTables.portGraph input) w)) := by rw [edgeSatisfied_decoded input n labels (encodeDart vertices d n (direction, w)), decodeDart_encodeDart vertices d n (direction, w)] exact PoweringTest.poweredGraph_edgeSatisfied (PortTables.portGraph input) (PortTables.accepts input) n (finitePortSelector (PortTables.portGraph input) (n + 1)) (decodeLabeling d n labels) direction w theorem rejectionCount_encoded {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (labels : RawLabeling vertices d n) : (GenericGraphTables.semantics (table input n)).rejectionCount (encodeLabeling (vertices := vertices) d n labels) = (mathematicalGraph input n).rejectionCount labels := by rw [semantics_table] unfold encodeLabeling encodeLabel exact GenericGraphTables.enumeratedGraph_rejectionCount (mathematicalGraph input n) (Equiv.refl _) (dartEquiv vertices d n) (paddedLabelEquiv d (n + 1) 64) labels theorem rejectionCount_decoded {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (labels : EncodedLabeling vertices d n) : (GenericGraphTables.semantics (table input n)).rejectionCount labels = (mathematicalGraph input n).rejectionCount (decodeLabeling d n labels) := by simpa only [encodeLabeling_decodeLabeling d n labels] using rejectionCount_encoded input n (decodeLabeling d n labels) theorem card_darts_eq_table {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) : Fintype.card (PoweringTest.Dart (Fin vertices) (Fin d) n) = (table input n).darts := by change Fintype.card (PoweringTest.Dart (Fin vertices) (Fin d) n) = 2 * vertices * d ^ (n + 1) simpa only [Fintype.card_fin] using Fintype.card_congr (dartEquiv vertices d n) theorem satisfiable_iff {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) : (GenericGraphTables.semantics (table input n)).Satisfiable ↔ (mathematicalGraph input n).Satisfiable := by constructor · rintro ⟨labels, satisfies⟩ refine ⟨decodeLabeling d n labels, ?_⟩ intro e have h := edgeSatisfied_encoded input n (decodeLabeling d n labels) e rw [encodeLabeling_decodeLabeling (vertices := vertices) d n labels] at h exact h.symm.trans (satisfies (encodeDart vertices d n e)) · rintro ⟨labels, satisfies⟩ refine ⟨encodeLabeling d n labels, ?_⟩ intro i have h := edgeSatisfied_encoded input n labels (decodeDart vertices d n i) rw [encodeDart_decodeDart vertices d n i] at h exact h.trans (satisfies (decodeDart vertices d n i)) theorem preserves_satisfiability {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (h : (PortTables.baseGraph input).Satisfiable) : (GenericGraphTables.semantics (table input n)).Satisfiable := by apply (satisfiable_iff input n).mpr exact PoweringTest.preserves_satisfiability (PortTables.portGraph input) (PortTables.accepts input) (PortTables.accepts_rotation input) n (finitePortSelector (PortTables.portGraph input) (n + 1)) h theorem path_rejection_mean_eq_table_fraction {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (labels : EncodedLabeling vertices d n) : SpectralReturn.mean (fun w : Walk (Fin vertices) (Fin d) (n + 1) => PoweringMoment.bit (PoweringTest.pathAccepts (PortTables.portGraph input) (PortTables.accepts input) n (finitePortSelector (PortTables.portGraph input) (n + 1)) w (decodeLabeling d n labels w.1) (decodeLabeling d n labels (endpoint (PortTables.portGraph input) w)) = false)) = ((GenericGraphTables.semantics (table input n)).rejectionCount labels : ℝ) / ((table input n).darts : ℝ) := by rw [rejectionCount_decoded input n labels, ← card_darts_eq_table input n] exact PoweringCounting.path_rejection_mean_eq_count (PortTables.portGraph input) (PortTables.accepts input) n (finitePortSelector (PortTables.portGraph input) (n + 1)) (decodeLabeling d n labels) theorem uniform_count_gap_iff {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (epsilon : ℝ) : (∀ labels : EncodedLabeling vertices d n, epsilon * ((table input n).darts : ℝ) ≤ ((GenericGraphTables.semantics (table input n)).rejectionCount labels : ℝ)) ↔ (∀ labels : RawLabeling vertices d n, epsilon * (Fintype.card (PoweringTest.Dart (Fin vertices) (Fin d) n) : ℝ) ≤ ((mathematicalGraph input n).rejectionCount labels : ℝ)) := by constructor · intro h labels have hlabels := h (encodeLabeling d n labels) rw [rejectionCount_encoded input n labels, ← card_darts_eq_table input n] at hlabels exact hlabels · intro h labels rw [rejectionCount_decoded input n labels] have hlabels := h (decodeLabeling d n labels) rw [card_darts_eq_table input n] at hlabels exact hlabels theorem uniform_count_gap {vertices d : Nat} (input : PortTables.Table vertices d) (n : Nat) (epsilon : ℝ) (hgap : ∀ labels : RawLabeling vertices d n, epsilon * (Fintype.card (PoweringTest.Dart (Fin vertices) (Fin d) n) : ℝ) ≤ ((mathematicalGraph input n).rejectionCount labels : ℝ)) : ∀ labels : EncodedLabeling vertices d n, epsilon * ((table input n).darts : ℝ) ≤ ((GenericGraphTables.semantics (table input n)).rejectionCount labels : ℝ) := (uniform_count_gap_iff input n epsilon).mpr hgap end DFVSGames.Foundations.PCP.PoweringTableSemantics namespace DFVSGames.Foundations.PCP.QueryIncidence structure Verifier (E X : Type*) (q : Nat) where query : E → Fin q → X accepts : E → (Fin q → Bool) → Bool abbrev Label (q : Nat) := Fin q → Bool abbrev Vertex (E X : Type*) := E ⊕ X abbrev Dart (E : Type*) (q : Nat) := (E × Fin q) × Bool variable {E X : Type*} {q : Nat} def response (T : Verifier E X q) (assignment : X → Bool) (event : E) : Label q := fun i => assignment (T.query event i) def zeroSlot (positive : 0 < q) : Fin q := ⟨0, positive⟩ def decodeRight (positive : 0 < q) (label : Label q) : Bool := label (zeroSlot positive) def encodeRight (bit : Bool) : Label q := fun _ => bit @[simp] theorem decode_encodeRight (positive : 0 < q) (bit : Bool) : decodeRight positive (encodeRight bit) = bit := rfl def canonicalSlot [DecidableEq X] (T : Verifier E X q) (event : E) (i : Fin q) : Fin q := Fin.find (fun j => T.query event j = T.query event i) ⟨i, rfl⟩ theorem canonicalSlot_query [DecidableEq X] (T : Verifier E X q) (event : E) (i : Fin q) : T.query event (canonicalSlot T event i) = T.query event i := Fin.find_spec (p := fun j => T.query event j = T.query event i) ⟨i, rfl⟩ def RepeatedConsistent (T : Verifier E X q) (event : E) (label : Label q) : Prop := ∀ i j, T.query event i = T.query event j → label i = label j instance repeatedConsistentDecidable [DecidableEq X] (T : Verifier E X q) (event : E) (label : Label q) : Decidable (RepeatedConsistent T event label) := by unfold RepeatedConsistent infer_instance def LeftValid (T : Verifier E X q) (event : E) (label : Label q) : Prop := T.accepts event label = true ∧ RepeatedConsistent T event label instance leftValidDecidable [DecidableEq X] (T : Verifier E X q) (event : E) (label : Label q) : Decidable (LeftValid T event label) := by unfold LeftValid infer_instance def incidenceAccept [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (event : E) (slot : Fin q) (left right : Label q) : Bool := decide (LeftValid T event left) && decide (left (canonicalSlot T event slot) = decodeRight positive right) def reverse : Dart E q → Dart E q := fun d => (d.1, !d.2) theorem reverse_involutive : Function.Involutive (reverse : Dart E q → Dart E q) := by rintro ⟨⟨event, slot⟩, orientation⟩ cases orientation <;> rfl def reverseEquiv : Dart E q ≃ Dart E q where toFun := reverse invFun := reverse left_inv := reverse_involutive right_inv := reverse_involutive def tail (T : Verifier E X q) : Dart E q → Vertex E X | ((event, _), false) => .inl event | ((event, slot), true) => .inr (T.query event slot) def predicate [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) : Dart E q → Label q → Label q → Bool | ((event, slot), false), a, b => incidenceAccept T positive event slot a b | ((event, slot), true), a, b => incidenceAccept T positive event slot b a def graph [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) : ConstraintGraph (Vertex E X) (Dart E q) (Label q) where reverse := reverseEquiv reverse_involutive := reverse_involutive tail := tail T accepts := predicate T positive reverse_accepts := by rintro ⟨⟨event, slot⟩, orientation⟩ a b cases orientation <;> rfl theorem edgeSatisfied_eq_incidence [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (labeling : Vertex E X → Label q) (event : E) (slot : Fin q) (orientation : Bool) : (graph T positive).edgeSatisfied labeling ((event, slot), orientation) = incidenceAccept T positive event slot (labeling (.inl event)) (labeling (.inr (T.query event slot))) := by cases orientation <;> rfl def honestLabeling (T : Verifier E X q) (assignment : X → Bool) : Vertex E X → Label q | .inl event => response T assignment event | .inr address => encodeRight (assignment address) theorem honest_leftValid (T : Verifier E X q) (assignment : X → Bool) (event : E) (accepted : T.accepts event (response T assignment event) = true) : LeftValid T event (response T assignment event) := by refine ⟨accepted, ?_⟩ intro i j hij exact congrArg assignment hij theorem honest_incidence [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (assignment : X → Bool) (event : E) (accepted : T.accepts event (response T assignment event) = true) (slot : Fin q) : incidenceAccept T positive event slot (honestLabeling T assignment (.inl event)) (honestLabeling T assignment (.inr (T.query event slot))) = true := by simp only [incidenceAccept, Bool.and_eq_true, honestLabeling, decode_encodeRight] refine ⟨_root_.decide_eq_true (honest_leftValid T assignment event accepted), ?_⟩ exact _root_.decide_eq_true (congrArg assignment (canonicalSlot_query T event slot)) theorem perfect_completeness [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (assignment : X → Bool) (accepted : ∀ event, T.accepts event (response T assignment event) = true) : ∀ dart, (graph T positive).edgeSatisfied (honestLabeling T assignment) dart = true := by rintro ⟨⟨event, slot⟩, orientation⟩ rw [edgeSatisfied_eq_incidence] exact honest_incidence T positive assignment event (accepted event) slot theorem satisfiable_of_verifier_satisfiable [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (sat : ∃ assignment : X → Bool, ∀ event, T.accepts event (response T assignment event) = true) : (graph T positive).Satisfiable := by obtain ⟨assignment, h⟩ := sat exact ⟨honestLabeling T assignment, perfect_completeness T positive assignment h⟩ def decodedAssignment (positive : 0 < q) (labeling : Vertex E X → Label q) : X → Bool := fun address => decodeRight positive (labeling (.inr address)) theorem incidenceAccept_true [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (event : E) (slot : Fin q) (left right : Label q) (accepted : incidenceAccept T positive event slot left right = true) : T.accepts event left = true ∧ RepeatedConsistent T event left ∧ left (canonicalSlot T event slot) = decodeRight positive right := by simp only [incidenceAccept, Bool.and_eq_true] at accepted have hvalid : LeftValid T event left := _root_.of_decide_eq_true accepted.1 exact ⟨hvalid.1, hvalid.2, _root_.of_decide_eq_true accepted.2⟩ theorem all_incidences_imply_event [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (labeling : Vertex E X → Label q) (event : E) (accepted : ∀ slot, incidenceAccept T positive event slot (labeling (.inl event)) (labeling (.inr (T.query event slot))) = true) : T.accepts event (response T (decodedAssignment positive labeling) event) = true := by have first := incidenceAccept_true T positive event (zeroSlot positive) _ _ (accepted (zeroSlot positive)) have labels_equal : labeling (.inl event) = response T (decodedAssignment positive labeling) event := by funext slot have info := incidenceAccept_true T positive event slot _ _ (accepted slot) exact (first.2.1 slot (canonicalSlot T event slot) (canonicalSlot_query T event slot).symm).trans info.2.2 rw [← labels_equal] exact first.1 theorem rejected_event_forces_slot [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (labeling : Vertex E X → Label q) (event : E) (rejected : T.accepts event (response T (decodedAssignment positive labeling) event) = false) : ∃ slot, incidenceAccept T positive event slot (labeling (.inl event)) (labeling (.inr (T.query event slot))) = false := by classical by_contra none have all : ∀ slot, incidenceAccept T positive event slot (labeling (.inl event)) (labeling (.inr (T.query event slot))) = true := by intro slot cases h : incidenceAccept T positive event slot (labeling (.inl event)) (labeling (.inr (T.query event slot))) with | false => exact False.elim (none ⟨slot, h⟩) | true => rfl have h := all_incidences_imply_event T positive labeling event all rw [rejected] at h cases h def rejectedEvents [Fintype E] (T : Verifier E X q) (assignment : X → Bool) : Finset E := Finset.univ.filter (fun event => T.accepts event (response T assignment event) = false) def verifierRejectionCount [Fintype E] (T : Verifier E X q) (assignment : X → Bool) : Nat := (rejectedEvents T assignment).card theorem rejection_count_bound [Fintype E] [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (labeling : Vertex E X → Label q) : 2 * verifierRejectionCount T (decodedAssignment positive labeling) ≤ (graph T positive).rejectionCount labeling := by classical let failed := rejectedEvents T (decodedAssignment positive labeling) have witnesses : ∀ event, event ∈ failed → ∃ slot, incidenceAccept T positive event slot (labeling (.inl event)) (labeling (.inr (T.query event slot))) = false := by intro event he apply rejected_event_forces_slot T positive labeling event simpa [failed, rejectedEvents] using he let chosen := fun event he => Classical.choose (witnesses event he) let inject : (failed.product (Finset.univ : Finset Bool)) → (graph T positive).rejectedDarts labeling := fun p => ⟨((p.val.1, chosen p.val.1 (Finset.mem_product.mp p.property).1), p.val.2), by apply (ConstraintGraph.mem_rejectedDarts _ _ _).mpr rw [edgeSatisfied_eq_incidence] exact Classical.choose_spec (witnesses p.val.1 (Finset.mem_product.mp p.property).1)⟩ have injective : Function.Injective inject := by intro a b h apply Subtype.ext apply Prod.ext · exact congrArg (fun d => d.val.1.1) h · exact congrArg (fun d => d.val.2) h have bound := Finset.card_le_card_of_injective injective simpa [failed, verifierRejectionCount, ConstraintGraph.rejectionCount, Finset.card_product, Nat.mul_comm] using bound @[simp] theorem card_label (q : Nat) : Fintype.card (Label q) = 2 ^ q := by simp [Label] @[simp] theorem card_vertex [Fintype E] [Fintype X] : Fintype.card (Vertex E X) = Fintype.card E + Fintype.card X := by simp [Vertex, Fintype.card_sum] @[simp] theorem card_dart [Fintype E] : Fintype.card (Dart E q) = 2 * q * Fintype.card E := by simp [Dart, Fintype.card_prod, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc] theorem gap_transfer [Fintype E] [DecidableEq X] (T : Verifier E X q) (positive : 0 < q) (a b : Nat) (sourceGap : ∀ assignment : X → Bool, a * Fintype.card E ≤ b * verifierRejectionCount T assignment) (labeling : Vertex E X → Label q) : a * Fintype.card (Dart E q) ≤ (b * q) * (graph T positive).rejectionCount labeling := by have source := Nat.mul_le_mul_left (2 * q) (sourceGap (decodedAssignment positive labeling)) have incidences := Nat.mul_le_mul_left (b * q) (rejection_count_bound T positive labeling) rw [card_dart] calc a * (2 * q * Fintype.card E) = (2 * q) * (a * Fintype.card E) := by ac_rfl _ ≤ (2 * q) * (b * verifierRejectionCount T (decodedAssignment positive labeling)) := source _ = (b * q) * (2 * verifierRejectionCount T (decodedAssignment positive labeling)) := by ac_rfl _ ≤ (b * q) * (graph T positive).rejectionCount labeling := incidences theorem six_query_alphabet : Fintype.card (Label 6) = 64 := by simp [] end DFVSGames.Foundations.PCP.QueryIncidence noncomputable section namespace DFVSGames.Foundations.PCP.CodeComposition open scoped BigOperators open DFVSGames.Foundations.Hastad def disagreement (a b : Bool) : ℝ := if a = b then 0 else 1 @[simp] theorem disagreement_self (a : Bool) : disagreement a a = 0 := by simp [disagreement] theorem disagreement_nonnegative (a b : Bool) : 0 ≤ disagreement a b := by cases a <;> cases b <;> norm_num [disagreement] theorem disagreement_le_one (a b : Bool) : disagreement a b ≤ 1 := by cases a <;> cases b <;> norm_num [disagreement] theorem disagreement_comm (a b : Bool) : disagreement a b = disagreement b a := by simp [disagreement, eq_comm] theorem disagreement_triangle (a b c : Bool) : disagreement a c ≤ disagreement a b + disagreement b c := by cases a <;> cases b <;> cases c <;> norm_num [disagreement] theorem disagreement_eq_sign (a b : Bool) : disagreement a b = (1 - bitSign a * bitSign b) / 2 := by cases a <;> cases b <;> norm_num [disagreement, bitSign] def relativeDistance {X : Type*} [Fintype X] (f g : X → Bool) : ℝ := 𝔼 x, disagreement (f x) (g x) @[simp] theorem relativeDistance_self {X : Type*} [Fintype X] (f : X → Bool) : relativeDistance f f = 0 := by simp [relativeDistance] theorem relativeDistance_nonnegative {X : Type*} [Fintype X] (f g : X → Bool) : 0 ≤ relativeDistance f g := Finset.expect_nonneg (fun _ _ => disagreement_nonnegative _ _) theorem relativeDistance_comm {X : Type*} [Fintype X] (f g : X → Bool) : relativeDistance f g = relativeDistance g f := by simp only [relativeDistance, disagreement_comm] theorem relativeDistance_triangle {X : Type*} [Fintype X] (f g h : X → Bool) : relativeDistance f h ≤ relativeDistance f g + relativeDistance g h := by rw [relativeDistance, relativeDistance, relativeDistance, ← Finset.expect_add_distrib] exact Finset.expect_le_expect (fun _ _ => disagreement_triangle _ _ _) theorem relativeDistance_eq_sign {X : Type*} [Fintype X] [Nonempty X] (f g : X → Bool) : relativeDistance f g = (1 - 𝔼 x, bitSign (f x) * bitSign (g x)) / 2 := by simp only [relativeDistance, disagreement_eq_sign] rw [← Finset.expect_div, Finset.expect_sub_distrib] simp def codeword {A : Type*} (a : A) : Cube A → Bool := fun x => x a private def singletonMask_inline_CodeComposition {A : Type*} [DecidableEq A] (a : A) : Cube A := fun i => decide (i = a) private theorem walsh_singletonMask_inline_CodeComposition {A : Type*} [Fintype A] [DecidableEq A] (a : A) (x : Cube A) : walsh (singletonMask_inline_CodeComposition a) x = bitSign (x a) := by classical unfold walsh singletonMask_inline_CodeComposition rw [Finset.prod_eq_single a] · simp · intro b _ hba simp [hba, bitSign] · simp private theorem singletonMask_ne_inline_CodeComposition {A : Type*} [DecidableEq A] {a b : A} (hab : a ≠ b) : singletonMask_inline_CodeComposition a ≠ singletonMask_inline_CodeComposition b := by intro h have he := congrFun h a simp [singletonMask_inline_CodeComposition, hab] at he theorem codeword_distance {A : Type*} [Fintype A] [DecidableEq A] {a b : A} (hab : a ≠ b) : relativeDistance (codeword a) (codeword b) = 1 / 2 := by rw [relativeDistance_eq_sign] have horth := walsh_orthogonality (singletonMask_inline_CodeComposition a) (singletonMask_inline_CodeComposition b) rw [ite_eq_right (singletonMask_ne_inline_CodeComposition hab)] at horth simp_rw [walsh_singletonMask_inline_CodeComposition] at horth change (1 - 𝔼 x : Cube A, bitSign (x a) * bitSign (x b)) / 2 = 1 / 2 rw [horth] norm_num theorem exists_nearest {A : Type*} [Fintype A] [DecidableEq A] [Nonempty A] (f : Cube A → Bool) : ∃ a : A, ∀ b : A, relativeDistance f (codeword a) ≤ relativeDistance f (codeword b) := by classical obtain ⟨a, _, ha⟩ := Finset.exists_min_image Finset.univ (fun a : A => relativeDistance f (codeword a)) Finset.univ_nonempty exact ⟨a, fun b => ha b (Finset.mem_univ b)⟩ def nearest {A : Type*} [Fintype A] [DecidableEq A] [Nonempty A] (f : Cube A → Bool) : A := Classical.choose (exists_nearest f) theorem nearest_minimal {A : Type*} [Fintype A] [DecidableEq A] [Nonempty A] (f : Cube A → Bool) (a : A) : relativeDistance f (codeword (nearest f)) ≤ relativeDistance f (codeword a) := Classical.choose_spec (exists_nearest f) a theorem distance_from_other_codeword {A : Type*} [Fintype A] [DecidableEq A] [Nonempty A] (f : Cube A → Bool) {a : A} (ha : a ≠ nearest f) : 1 / 4 ≤ relativeDistance f (codeword a) := by have htri := relativeDistance_triangle (codeword (nearest f)) f (codeword a) rw [codeword_distance (Ne.symm ha), relativeDistance_comm (codeword (nearest f)) f] at htri have hmin := nearest_minimal f a linarith def pairWord {X : Type*} (left right : X → Bool) : Bool × X → Bool := fun p => if p.1 then right p.2 else left p.2 theorem pairWord_distance {X : Type*} [Fintype X] [Nonempty X] (left right left' right' : X → Bool) : relativeDistance (pairWord left right) (pairWord left' right') = (relativeDistance left left' + relativeDistance right right') / 2 := by classical simp [relativeDistance, Fintype.expect_eq_sum_div_card, Fintype.card_prod, Fintype.sum_prod_type, pairWord] ring theorem rejected_pair_far {A : Type*} [Fintype A] [DecidableEq A] [Nonempty A] (accepts : A → A → Bool) (left right : Cube A → Bool) (hbad : accepts (nearest left) (nearest right) = false) (a b : A) (hgood : accepts a b = true) : 1 / 8 ≤ relativeDistance (pairWord left right) (pairWord (codeword a) (codeword b)) := by rw [pairWord_distance] have hleft := relativeDistance_nonnegative left (codeword a) have hright := relativeDistance_nonnegative right (codeword b) by_cases ha : a = nearest left · have hb : b ≠ nearest right := by intro hb rw [ha, hb, hbad] at hgood cases hgood have hsep := distance_from_other_codeword right hb linarith · have hsep := distance_from_other_codeword left ha linarith end DFVSGames.Foundations.PCP.CodeComposition end end OAI