openAI-math-dataset / lean /OAI /Computability /MaxCut /PCP /ClauseVerifier.lean
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import Mathlib
import OAI.Computability.MaxCut.Games.Target
namespace OAI
namespace MaxCutGames.Foundations.PCP
open Target
structure ClauseAnswer where
first : Bool
second : Bool
third : Bool
deriving DecidableEq
inductive Slot where
| first
| second
| third
deriving DecidableEq
def answerAt (answer : ClauseAnswer) : Slot → Bool
| .first => answer.first
| .second => answer.second
| .third => answer.third
def nameAt {n : Nat} (clause : Clause n) : Slot → Fin n
| .first => clause[0].variableIndex
| .second => clause[1].variableIndex
| .third => clause[2].variableIndex
def literalValue (positive value : Bool) : Bool :=
if positive then value else !value
def localSatisfies {n : Nat} (clause : Clause n) (answer : ClauseAnswer) : Bool :=
(literalValue clause[0].positive answer.first ||
literalValue clause[1].positive answer.second) ||
literalValue clause[2].positive answer.third
def honestAnswer {n : Nat} (clause : Clause n) (assignment : Fin n → Bool) : ClauseAnswer :=
⟨assignment clause[0].variableIndex, assignment clause[1].variableIndex,
assignment clause[2].variableIndex⟩
theorem honest_satisfies {n : Nat} (clause : Clause n) (assignment : Fin n → Bool) :
localSatisfies clause (honestAnswer clause assignment) = clause.eval assignment := rfl
theorem honest_answerAt {n : Nat} (clause : Clause n) (assignment : Fin n → Bool)
(slot : Slot) : answerAt (honestAnswer clause assignment) slot =
assignment (nameAt clause slot) := by
cases slot <;> rfl
def matchingSlots (a b : ClauseAnswer) : Nat :=
(if a.first = b.first then 1 else 0) +
(if a.second = b.second then 1 else 0) +
(if a.third = b.third then 1 else 0)
theorem matchingSlots_le (a b : ClauseAnswer) : matchingSlots a b ≤ 3 := by
rcases a with ⟨a₁,a₂,a₃⟩
rcases b with ⟨b₁,b₂,b₃⟩
cases a₁ <;> cases a₂ <;> cases a₃ <;> cases b₁ <;> cases b₂ <;> cases b₃ <;> decide
theorem matchingSlots_eq_three (a b : ClauseAnswer) : matchingSlots a b = 3 ↔ a = b := by
rcases a with ⟨a₁,a₂,a₃⟩
rcases b with ⟨b₁,b₂,b₃⟩
cases a₁ <;> cases a₂ <;> cases a₃ <;> cases b₁ <;> cases b₂ <;> cases b₃ <;> decide
def acceptedSlots {n : Nat} (clause : Clause n) (alice bob : ClauseAnswer) : Nat :=
if localSatisfies clause alice then matchingSlots alice bob else 0
def clauseFailure {n : Nat} (clause : Clause n) (assignment : Fin n → Bool) : Nat :=
if clause.eval assignment then 0 else 1
/-- A failed Bob clause forces one rejection among its three incidence events. -/
theorem local_rejection_bound {n : Nat} (clause : Clause n) (alice : ClauseAnswer)
(bob : Fin n → Bool) :
acceptedSlots clause alice (honestAnswer clause bob) + clauseFailure clause bob ≤ 3 := by
have hle := matchingSlots_le alice (honestAnswer clause bob)
by_cases hb : clause.eval bob = true
· simp only [clauseFailure, hb, ↓reduceIte, Nat.add_zero]
unfold acceptedSlots
split <;> omega
· have hfailure : clauseFailure clause bob = 1 := by simp [clauseFailure, hb]
rw [hfailure]
by_cases ha : localSatisfies clause alice = true
· have hne : alice ≠ honestAnswer clause bob := by
intro h
subst alice
exact hb ((honest_satisfies clause bob).symm.trans ha)
have hlt : matchingSlots alice (honestAnswer clause bob) ≠ 3 := by
intro h
exact hne ((matchingSlots_eq_three _ _).mp h)
simp only [acceptedSlots, ha, ↓reduceIte]
omega
· simp [acceptedSlots, ha]
def clauseAt (formula : Formula) (index : Fin formula.clauses.length) :
Clause formula.«variables» := formula.clauses[index.val]
abbrev RandomEvent (formula : Formula) := Fin formula.clauses.length × Slot
abbrev AliceStrategy (formula : Formula) := Fin formula.clauses.length → ClauseAnswer
abbrev BobStrategy (formula : Formula) := Fin formula.«variables» → Bool
/-- Explicit finite verifier. The occurrence and slot are randomness, never an
additional argument supplied to Bob's strategy. -/
def accepts (formula : Formula) (alice : AliceStrategy formula) (bob : BobStrategy formula)
(event : RandomEvent formula) : Bool :=
localSatisfies (clauseAt formula event.1) (alice event.1) &&
decide (answerAt (alice event.1) event.2 = bob (nameAt (clauseAt formula event.1) event.2))
def acceptedCount (formula : Formula) (alice : AliceStrategy formula)
(bob : BobStrategy formula) : List (Fin formula.clauses.length) → Nat
| [] => 0
| i :: rest => acceptedSlots (clauseAt formula i) (alice i)
(honestAnswer (clauseAt formula i) bob) + acceptedCount formula alice bob rest
def failureCount (formula : Formula) (bob : BobStrategy formula) :
List (Fin formula.clauses.length) → Nat
| [] => 0
| i :: rest => clauseFailure (clauseAt formula i) bob + failureCount formula bob rest
theorem total_rejection_bound (formula : Formula) (alice : AliceStrategy formula)
(bob : BobStrategy formula) (indices : List (Fin formula.clauses.length)) :
acceptedCount formula alice bob indices + failureCount formula bob indices ≤
3 * indices.length := by
induction indices with
| nil => simp [acceptedCount, failureCount]
| cons i rest ih =>
have h := local_rejection_bound (clauseAt formula i) (alice i) bob
simp only [acceptedCount, failureCount, List.length_cons]
omega
def allIndices (formula : Formula) : List (Fin formula.clauses.length) :=
List.finRange formula.clauses.length
/-- Count form of Håstad Lemma 3.1: a fraction `a/b` of failed clauses gives
a fraction at least `a/(3*b)` of failed verifier events. -/
theorem hastad_basic_verifier_soundness (formula : Formula) (a b : Nat)
(sourceGap : ∀ bob : BobStrategy formula,
a * formula.clauses.length ≤ b * failureCount formula bob (allIndices formula))
(alice : AliceStrategy formula) (bob : BobStrategy formula) :
b * acceptedCount formula alice bob (allIndices formula) + a * formula.clauses.length ≤
b * (3 * formula.clauses.length) := by
have ht := Nat.mul_le_mul_left b (total_rejection_bound formula alice bob (allIndices formula))
have hg := sourceGap bob
simp only [allIndices, List.length_finRange, Nat.mul_add] at *
omega
theorem honest_accepts (formula : Formula) (assignment : BobStrategy formula)
(satisfies : ∀ clause ∈ formula.clauses, clause.eval assignment = true)
(event : RandomEvent formula) :
accepts formula (fun i => honestAnswer (clauseAt formula i) assignment) assignment event = true := by
have hc : (clauseAt formula event.1).eval assignment = true :=
satisfies _ (List.getElem_mem _)
simp [accepts, honest_satisfies, honest_answerAt, hc]
/-- Pointwise perfect completeness, including the exact input syntax. -/
theorem verifier_completeness (formula : Formula) (sat : formula.Satisfiable) :
∃ (alice : AliceStrategy formula) (bob : BobStrategy formula),
∀ event : RandomEvent formula, accepts formula alice bob event = true := by
rcases sat with ⟨assignment, hs⟩
exact ⟨fun i => honestAnswer (clauseAt formula i) assignment, assignment,
honest_accepts formula assignment hs⟩
/-- The valid left labels and projection maps give the concrete Label Cover
presentation. Their alphabet depends on the clause, with at most 8 bit triples. -/
abbrev LeftLabel (formula : Formula) (i : Fin formula.clauses.length) :=
{ answer : ClauseAnswer // localSatisfies (clauseAt formula i) answer = true }
def edgeProjection (formula : Formula) (event : RandomEvent formula)
(label : LeftLabel formula event.1) : Bool := answerAt label.val event.2
theorem verifier_eq_projection (formula : Formula)
(alice : ∀ i, LeftLabel formula i) (bob : BobStrategy formula) (event : RandomEvent formula) :
accepts formula (fun i => (alice i).val) bob event =
decide (edgeProjection formula event (alice event.1) =
bob (nameAt (clauseAt formula event.1) event.2)) := by
simp [accepts, (alice event.1).property, edgeProjection] ; rfl
/-- A materialized list of all three slot events at an occurrence. -/
def eventsAt (formula : Formula) (i : Fin formula.clauses.length) : List (RandomEvent formula) :=
[(i, .first), (i, .second), (i, .third)]
def enumerateEvents (formula : Formula) : List (Fin formula.clauses.length) →
List (RandomEvent formula)
| [] => []
| i :: rest => eventsAt formula i ++ enumerateEvents formula rest
theorem length_enumerateEvents (formula : Formula) (indices : List (Fin formula.clauses.length)) :
(enumerateEvents formula indices).length = 3 * indices.length := by
induction indices with
| nil => simp [enumerateEvents]
| cons i rest ih =>
simp only [enumerateEvents, eventsAt, List.length_append, List.length_cons,
List.length_nil, ih]
omega
theorem accepted_eventsAt (formula : Formula) (alice : AliceStrategy formula)
(bob : BobStrategy formula) (i : Fin formula.clauses.length) :
((eventsAt formula i).filter (accepts formula alice bob)).length =
acceptedSlots (clauseAt formula i) (alice i) (honestAnswer (clauseAt formula i) bob) := by
by_cases hs : localSatisfies (clauseAt formula i) (alice i) = true
· by_cases h₁ : (alice i).first = bob (clauseAt formula i)[0].variableIndex <;>
by_cases h₂ : (alice i).second = bob (clauseAt formula i)[1].variableIndex <;>
by_cases h₃ : (alice i).third = bob (clauseAt formula i)[2].variableIndex <;>
simp [eventsAt, accepts, acceptedSlots, matchingSlots, honestAnswer,
answerAt, nameAt, hs, h₁, h₂, h₃]
· simp [eventsAt, accepts, acceptedSlots, hs]
/-- The rejection-count proof counts exactly the explicit verifier's accepted
random events; it is not a separate abstract score. -/
theorem accepted_enumerateEvents (formula : Formula) (alice : AliceStrategy formula)
(bob : BobStrategy formula) (indices : List (Fin formula.clauses.length)) :
((enumerateEvents formula indices).filter (accepts formula alice bob)).length =
acceptedCount formula alice bob indices := by
induction indices with
| nil => simp [enumerateEvents, acceptedCount]
| cons i rest ih =>
simp only [enumerateEvents, List.filter_append, List.length_append,
accepted_eventsAt, ih, acceptedCount]
def allEvents (formula : Formula) : List (RandomEvent formula) :=
enumerateEvents formula (allIndices formula)
theorem length_allEvents (formula : Formula) :
(allEvents formula).length = 3 * formula.clauses.length := by
simp [allEvents, length_enumerateEvents, allIndices]
theorem allEvents_nonempty (formula : Formula) (hne : formula.clauses ≠ []) :
allEvents formula ≠ [] := by
intro he
have hl := length_allEvents formula
rw [he] at hl
have hpos : 0 < formula.clauses.length := List.length_pos_iff.mpr hne
simp only [List.length_nil] at hl
omega
/-- Soundness stated solely in terms of filtering the generated event list.
For `b>0` and a nonempty input, division by `b*|allEvents|` gives the
usual normalized acceptance probability. -/
theorem verifier_event_soundness (formula : Formula) (a b : Nat)
(sourceGap : ∀ bob : BobStrategy formula,
a * formula.clauses.length ≤ b * failureCount formula bob (allIndices formula))
(alice : AliceStrategy formula) (bob : BobStrategy formula) :
b * ((allEvents formula).filter (accepts formula alice bob)).length +
a * formula.clauses.length ≤ b * (allEvents formula).length := by
rw [length_allEvents]
simp only [allEvents, accepted_enumerateEvents]
exact hastad_basic_verifier_soundness formula a b sourceGap alice bob
/-- Count the syntactic occurrences of one variable in each three-slot clause. -/
def occurrencesAt {n : Nat} (clause : Clause n) (v : Fin n) : Nat :=
(if clause[0].variableIndex = v then 1 else 0) +
(if clause[1].variableIndex = v then 1 else 0) +
(if clause[2].variableIndex = v then 1 else 0)
def occurrenceCount (formula : Formula) (v : Fin formula.«variables») :
List (Fin formula.clauses.length) → Nat
| [] => 0
| i :: rest => occurrencesAt (clauseAt formula i) v + occurrenceCount formula v rest
theorem variable_eventsAt (formula : Formula) (v : Fin formula.«variables»)
(i : Fin formula.clauses.length) :
((eventsAt formula i).filter (fun event =>
decide (nameAt (clauseAt formula event.1) event.2 = v))).length =
occurrencesAt (clauseAt formula i) v := by
by_cases h₁ : (clauseAt formula i)[0].variableIndex = v <;>
by_cases h₂ : (clauseAt formula i)[1].variableIndex = v <;>
by_cases h₃ : (clauseAt formula i)[2].variableIndex = v <;>
simp [eventsAt, nameAt, occurrencesAt, h₁, h₂, h₃]
theorem variable_enumerateEvents (formula : Formula) (v : Fin formula.«variables»)
(indices : List (Fin formula.clauses.length)) :
((enumerateEvents formula indices).filter (fun event =>
decide (nameAt (clauseAt formula event.1) event.2 = v))).length =
occurrenceCount formula v indices := by
induction indices with
| nil => simp [enumerateEvents, occurrenceCount]
| cons i rest ih =>
simp only [enumerateEvents, List.filter_append, List.length_append,
variable_eventsAt, ih, occurrenceCount]
theorem regular_bob_marginal (formula : Formula) (degree : Nat)
(regular : ∀ v : Fin formula.«variables»,
occurrenceCount formula v (allIndices formula) = degree)
(v : Fin formula.«variables») :
((allEvents formula).filter (fun event =>
decide (nameAt (clauseAt formula event.1) event.2 = v))).length = degree := by
rw [allEvents, variable_enumerateEvents]
exact regular v
end MaxCutGames.Foundations.PCP
end OAI