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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