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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Criticality.RestrictedSeed
import OAI.Probability.CriticalPercolation.Exploration.DecisionHistory
import OAI.Probability.CriticalPercolation.Exploration.GrowthHistoryGeometry
import OAI.Probability.CriticalPercolation.Gluing.PinnedTest
namespace OAI
section
section
noncomputable section
open Set Function MeasureTheory ProbabilityTheory
open scoped Classical ENNReal
namespace CriticalPercolation.Corridor
open BondGraph Boundary BernoulliProduct
structure Scheme (V E : Type*) where
graph : BondGraph V E
coordinate : V → Point
j : ℝ
h : ℝ
seed : Set V
mark : Site → Set V
parameter : E → unitInterval
delta : ℝ
namespace Scheme
variable {V E : Type*} [Countable V] [Countable E] (P : Scheme V E)
def block (S : GrowthState) : Set E := revealed P.graph P.coordinate P.j P.h S
def edgeDomain (e : Edge) : Set E := corridorEdges P.graph P.coordinate P.j P.h e
def enlarged (n : ℕ) (S : GrowthState) : Set E := P.block (S.advance n false)
def hit (v : Site) (R : Set E) : Set (Set E) := P.graph.restrictedSeed P.seed (P.mark v) R
def incomingHit (n : ℕ) (S : GrowthState) : Set (Set E) := P.hit (slotSite n) (P.enlarged n S)
def nextHit (n : ℕ) (S : GrowthState) (b : Bool) : Set (Set E) :=
P.hit (target (slotSite n,b)) (P.enlarged n S∪P.edgeDomain (slotSite n,b))
def accepted (n : ℕ) (S : GrowthState) : Set (Set E) :=
(predictionFailure P.parameter (P.enlarged n S) (P.incomingHit n S)
(P.nextHit n S true) (P.nextHit n S false) P.delta)ᶜ
lemma accepted_measurable (n : ℕ) (S : GrowthState) :
MeasurableSet[blockSigma (P.enlarged n S)] (P.accepted n S) :=
(measurableSet_predictionFailure P.parameter (P.enlarged n S) _ _ _
(P.graph.measurableSet_restrictedSeed _ _ _) (P.graph.restrictedSeed_measurable _ _ _)
(P.graph.restrictedSeed_measurable _ _ _) P.delta).compl
omit [Countable V] [Countable E] in
lemma accepted_iff (n : ℕ) (S : GrowthState) (ω : Set E) :
ω∈P.accepted n S ↔ ω∈P.incomingHit n S ∧
∀ b : Bool, 1-P.delta ≤ (blockProbability P.parameter (P.enlarged n S) (P.nextHit n S b) ω).toReal := by
change (¬((ω∉P.incomingHit n S ∨ ω∈P.incomingHit n S ∧
(blockProbability P.parameter (P.enlarged n S) (P.nextHit n S true) ω).toReal<1-P.delta) ∨
ω∈P.incomingHit n S ∧
(blockProbability P.parameter (P.enlarged n S) (P.nextHit n S false) ω).toReal<1-P.delta)) ↔ _
constructor
· intro h
have ha : ω∈P.incomingHit n S := Classical.byContradiction (fun hn => h (Or.inl (Or.inl hn)))
refine ⟨ha,fun b => ?_⟩
cases b
· exact not_lt.mp (fun hb => h (Or.inr ⟨ha,hb⟩))
· exact not_lt.mp (fun hb => h (Or.inl (Or.inr ⟨ha,hb⟩)))
· rintro ⟨ha,hb⟩ (h|h)
· rcases h with h|h
· exact h ha
· exact not_lt_of_ge (hb true) h.2
· exact not_lt_of_ge (hb false) h.2
def rule : DecisionRule E GrowthState where
initial := GrowthState.initial
block := P.block
further := P.enlarged
contained n S := revealed_mono P.graph P.coordinate P.j P.h (S.seen_mono n false)
active n S := (incoming n S.good).isSome
accept := P.accepted
measurable := P.accepted_measurable
update := GrowthState.advance
block_update _ _ _ := rfl
lemma state_valid (n : ℕ) (w : DecisionCode n) : (P.rule.state n w).Valid n := by
induction n with
| zero => exact GrowthState.initial_valid
| succ n ih => exact GrowthState.advance_valid n _ w.2 (ih w.1)
lemma state_covered (n : ℕ) (w : DecisionCode n) : (P.rule.state n w).Covered := by
induction n with
| zero => exact GrowthState.initial_covered
| succ n ih => exact GrowthState.advance_covered n _ w.2 (ih w.1)
omit [Countable V] [Countable E] in
lemma block_enlarged (n : ℕ) (S : GrowthState) : P.block S⊆P.enlarged n S :=
revealed_mono P.graph P.coordinate P.j P.h (S.seen_mono n false)
omit [Countable V] [Countable E] in
lemma block_advance (n : ℕ) (S : GrowthState) (b : Bool) : P.block (S.advance n b)=P.enlarged n S := rfl
omit [Countable V] [Countable E] in
lemma enlarged_incoming (n : ℕ) (S : GrowthState) {e : Edge} (he : incoming n S.good=some e) :
P.enlarged n S=P.block S∪P.edgeDomain e :=
revealed_incoming P.graph P.coordinate P.j P.h n S false he
def rootEvent : Set (Set E) := {ω | ∀ b : Bool,
1-P.delta ≤ (blockProbability P.parameter (P.block GrowthState.initial)
(P.hit (target ((0,0),b)) (P.block GrowthState.initial∪P.edgeDomain ((0,0),b))) ω).toReal}
lemma rootEvent_measurable : MeasurableSet[blockSigma (P.block GrowthState.initial)] P.rootEvent := by
simp only [rootEvent,Set.ofPred_forall]
apply MeasurableSet.iInter
intro b
exact measurableSet_le measurable_const
(measurable_blockProbability P.parameter _ _ (P.graph.restrictedSeed_measurable _ _ _)).ennreal_toReal
lemma rootEvent_history : MeasurableSet[(P.rule.partition 0).historySigma] P.rootEvent := by
intro w
change MeasurableSet[blockSigma (P.block GrowthState.initial)] (P.rootEvent∩Set.univ)
simpa only [Set.inter_univ] using P.rootEvent_measurable
end Scheme
end CriticalPercolation.Corridor
end
end
end
end OAI