roseking's picture
Add lean source and binary files (part 120)
f205175 verified
Raw History Blame Contribute Delete
8.09 kB
import Mathlib
import OAI.Probability.CriticalPercolation.ProductMeasure.RelayProbability
import OAI.Probability.CriticalPercolation.GraphGeometry.CoordinateScheme
import OAI.Probability.CriticalPercolation.Criticality.GrowthEstimate
import OAI.Probability.CriticalPercolation.ProductMeasure.SourceMissLaw
import OAI.Probability.CriticalPercolation.Gluing.ProspectiveCorridor
namespace OAI
section
section
noncomputable section
open Set Function MeasureTheory ProbabilityTheory
open scoped Classical ENNReal
namespace CriticalPercolation.Corridor.CoordinateData
open BondGraph Boundary BernoulliProduct
variable {V E : Type*} [Countable V] [Countable E] (C : CoordinateData V E)
lemma active_slot_positive (n : ℕ) (S : GrowthState) (hv : S.Valid n)
(ha : (incoming n S.good).isSome) : 0<n := by
obtain ⟨e,he⟩ := Option.isSome_iff_exists.mp ha
have ht := parent_slot_lt e (hv.2.1 _ (incoming_source he)).1
rw [incoming_target he,gridSlot_slotSite] at ht
omega
theorem prospective_estimate (h : C.Bounds)
(hmove : ∀ y s, |s|=1 → 1-C.eta≤(BernoulliProduct.law (fun _ : E => C.p)).real
(C.graph.coordinateMove C.time C.height C.m C.e y s))
(n : ℕ) (S : GrowthState) (hv : S.Valid n) (_hc : S.Covered)
(ha : (incoming n S.good).isSome) (ω : Set E) (b : Bool) :
(blockProbability C.scheme.parameter (C.scheme.block S)
(C.scheme.incomingHit n S\C.scheme.nextHit n S b) ω).toReal≤(C.L+1)*C.kappa := by
let v := slotSite n
let F := C.scheme.enlarged n S
let U := F∪C.scheme.edgeDomain (v,b)
have hdom := C.domain_eq v b
have hDU : C.graph.inducedEdges (relayDomain (localTime C.time C.T v)
(localHeight C.height C.T v) C.J C.T (sign b))⊆U := by
rw [← hdom]
exact Set.subset_union_right
have hfresh : Disjoint (C.scheme.block S)
(C.graph.inducedEdges (relayDomain (localTime C.time C.T v)
(localHeight C.height C.T v) C.J C.T (sign b))) := by
rw [← hdom]
exact outgoing_unrevealed C.graph (normalized C.time C.height C.T) (C.J/C.T) (2520/C.T)
(C.layout h).1 (C.layout h).2.1 (C.layout h).2.2 n S hv (active_slot_positive n S hv ha) rfl
have hmoves : ∀ y s, |s|=1 → 1-C.eta≤(BernoulliProduct.law (fun _ : E => C.p)).real
(C.graph.coordinateMove (localTime C.time C.T v) (localHeight C.height C.T v)
C.m C.e y s) := by
intro y s hs
rw [coordinateMove_translate]
exact hmove y s hs
have hP : 1≤C.T := by
have hh : (416 : ℝ)≤C.L := by exact_mod_cast C.L_large h
dsimp [T]; linarith
have hh := C.graph.coordinate_pinned_corridor_failure h.connected h.locallyFinite
C.scheme.seed (C.graph.vertexBall_finite h.locallyFinite C.origin C.m) C.scheme.parameter
(C.scheme.block S) F U ω Set.subset_union_left
(localTime C.time C.T v) (localHeight C.height C.T v) (sign b) C.e C.rho C.J C.T
C.L C.R C.m (sign_abs b) h.e_pos h.rho_nonneg h.J_lower (C.L_large h) h.e_small h.rho_small
hP (C.source_behind h n (active_slot_positive n S hv ha))
(fun {_ _} hh => C.local_time_step h v hh) (fun {_ _} hh => C.local_height_step h v hh) h.R_gt C.pc C.p h.pc_pos h.pc_lt
h.p_lower h.p_upper (fun _ _ => rfl) hDU hfresh C.D C.k C.M C.VM h.degree h.M_pos
h.M_bound h.VM_bound C.kappa C.eta h.kappa_pos h.kappa_le h.eta_nonneg h.eta_small
h.k_large h.R_large hmoves
change (blockProbability C.scheme.parameter (C.scheme.block S)
(C.graph.restrictedSeed C.scheme.seed (relayMark (localTime C.time C.T v) (localHeight C.height C.T v) 0 (sign b) C.rho) F\
C.graph.restrictedSeed C.scheme.seed (relayMark (localTime C.time C.T v) (localHeight C.height C.T v) C.T (sign b) C.rho) U) ω).toReal≤_ at hh
rw [mark_initial,mark_target] at hh
exact hh
lemma root_corridor_estimate (h : C.Bounds)
(hmove : ∀ y s, |s|=1 → 1-C.eta≤(BernoulliProduct.law (fun _ : E => C.p)).real
(C.graph.coordinateMove C.time C.height C.m C.e y s)) (b : Bool) :
(BernoulliProduct.law C.scheme.parameter).real
(C.scheme.hit (target ((0,0),b))
(C.scheme.block GrowthState.initial∪C.scheme.edgeDomain ((0,0),b)))ᶜ≤C.eta+C.L*C.kappa := by
let U := C.scheme.block GrowthState.initial∪C.scheme.edgeDomain ((0,0),b)
have hDU : C.graph.inducedEdges (relayDomain (localTime C.time C.T (0,0))
(localHeight C.height C.T (0,0)) C.J C.T (sign b))⊆U := by
rw [← C.domain_eq]
exact Set.subset_union_right
have hmoves : ∀ y s, |s|=1 → 1-C.eta≤(BernoulliProduct.law (fun _ : E => C.p)).real
(C.graph.coordinateMove (localTime C.time C.T (0,0)) (localHeight C.height C.T (0,0))
C.m C.e y s) := by
intro y s hs
rw [coordinateMove_translate]
exact hmove y s hs
have hh := C.graph.original_root_corridor_miss h.connected h.locallyFinite C.origin
(localTime C.time C.T (0,0)) (localHeight C.height C.T (0,0)) (sign b) C.e C.rho C.J
C.L C.R C.m U hDU (sign_abs b) h.e_pos h.rho_nonneg h.J_lower (C.L_large h) h.e_small h.rho_small
(by simp [localTime,timeCenter,h.time_origin]) (by simp [localHeight,heightCenter,h.height_origin])
(fun {_ _} hh => C.local_time_step h (0,0) hh) (fun {_ _} hh => C.local_height_step h (0,0) hh) h.R_gt C.pc C.p h.pc_pos h.pc_lt
h.p_lower h.p_upper C.D C.k C.M C.VM h.degree h.M_pos h.M_bound h.VM_bound
C.kappa C.eta h.kappa_pos h.kappa_le h.eta_nonneg h.eta_small h.k_large h.R_large hmoves
change (BernoulliProduct.law (fun _ : E => C.p)).real
(C.graph.restrictedSeed (C.graph.vertexBall C.origin C.m)
(relayMark (localTime C.time C.T (0,0)) (localHeight C.height C.T (0,0)) C.T (sign b) C.rho) U)ᶜ≤_ at hh
rw [mark_target] at hh
exact hh
lemma root_positive (h : C.Bounds)
(hmove : ∀ y s, |s|=1 → 1-C.eta≤(BernoulliProduct.law (fun _ : E => C.p)).real
(C.graph.coordinateMove C.time C.height C.m C.e y s)) :
0<(BernoulliProduct.law C.scheme.parameter).real C.scheme.rootEvent := by
have he : C.scheme.rootEvent=twoPredictions C.scheme.parameter (C.scheme.block GrowthState.initial)
(C.scheme.hit (target ((0,0),true))
(C.scheme.block GrowthState.initial∪C.scheme.edgeDomain ((0,0),true)))
(C.scheme.hit (target ((0,0),false))
(C.scheme.block GrowthState.initial∪C.scheme.edgeDomain ((0,0),false))) C.delta := by
ext ω
change (∀ b : Bool, 1-C.delta≤(blockProbability C.scheme.parameter
(C.scheme.block GrowthState.initial) (C.scheme.hit (target ((0,0),b))
(C.scheme.block GrowthState.initial∪C.scheme.edgeDomain ((0,0),b))) ω).toReal) ↔ (_ ∧ _)
constructor
· intro hh; exact ⟨hh true,hh false⟩
· rintro ⟨ht,hf⟩ b; cases b <;> assumption
rw [he]
apply twoPredictions_positive _ _ _ _
(C.graph.restrictedSeed_measurable _ _ _) (C.graph.restrictedSeed_measurable _ _ _)
C.delta (C.eta+C.L*C.kappa) h.delta_pos h.root_error
(C.root_corridor_estimate h hmove true) (C.root_corridor_estimate h hmove false)
theorem moves_force_percolation (h : C.Bounds)
(hmove : ∀ y s, |s|=1 → 1-C.eta≤(BernoulliProduct.law (fun _ : E => C.p)).real
(C.graph.coordinateMove C.time C.height C.m C.e y s)) :
0<C.graph.law C.p C.graph.percolates := by
let hf := C.graph.vertexBall_finite h.locallyFinite C.origin C.m
exact C.scheme.exploration_percolates (C.layout h).1 (C.layout h).2.1 (C.layout h).2.2
hf.toFinset (by simp only [Set.Finite.coe_toFinset]; rfl) (C.root_seed h) (C.marks_disjoint h)
C.p rfl (C.root_positive h hmove) h.delta_pos ((C.L+1)*C.kappa) C.contour
h.contour_nonneg h.contour_small (mul_nonneg (by positivity) h.kappa_pos.le) h.test_error (C.prospective_estimate h hmove)
theorem moves_impossible_below_criticality (h : C.Bounds)
(hp : C.p<C.graph.criticalProbability)
(hmove : ∀ y s, |s|=1 → 1-C.eta≤(BernoulliProduct.law (fun _ : E => C.p)).real
(C.graph.coordinateMove C.time C.height C.m C.e y s)) : False :=
(not_le_of_gt hp) (C.graph.criticalProbability_le_of_pos (C.moves_force_percolation h hmove))
end CriticalPercolation.Corridor.CoordinateData
end
end
end
end OAI