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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Entropy.BinaryParents
namespace OAI
section
section
namespace CriticalPercolation.BinaryLaw
open scoped Classical
open FiniteProduct BondGraph BinaryInterpolation InterpolationForest ExactExposure FiniteEntropy
variable {V E I : Type*} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E] [Fintype I]
variable (G : BondGraph V E) (order : List (LazyDFS.Dart V E)) (d : ℕ) (x : ℕ → V)
variable (p : ℝ) (w : E → Prop → ℝ) (s n : ℕ) (h : History E n) (ω : E → Bool)
theorem active_cluster_users_le
(hr : density G order d x p w (seed G w (x 0) (x d) s) n h (configuration ω) ≠ 0)
(idx : I → ℕ) (hinj : Function.Injective idx)
(hidx : ∀ i, idx i ∈ activeNodes G d x n h (configuration ω)) (v : V) :
(clusterUsers G (fun i => (node d x n h (idx i)).1)
(fun i => (node d x n h (nodeParent G d x (configuration ω) n h (idx i))).1) ω v).card ≤ 2 := by
classical
let F := historyForest G d x (configuration ω) n h
let S := activeNodes G d x n h (configuration ω)
let users := clusterUsers G (fun i => (node d x n h (idx i)).1)
(fun i => (node d x n h (F.parent (idx i))).1) ω v
have hb (i : I) : 2 ≤ idx i ∧ idx i<n+2 :=
⟨(Forest.mem_active _).mp (hidx i) |>.2,active_lt G d x n h _ _ (hidx i)⟩
have hcan (i : I) : Canonical G (anchors d x n h) (configuration ω) (idx i) :=
active_canonical G order d x p w _ n h _ hr _ (hidx i)
have hpcan (i : I) : Canonical G (anchors d x n h) (configuration ω) (F.parent (idx i)) :=
nodeParent_canonical G order d x p w _ n h _ hr _ (hb i).1 (hb i).2
have hpbound (i : I) : F.parent (idx i)<n+2 := (F.parent_lt _ (hb i).1).trans (hb i).2
by_cases hu : users.Nonempty
· obtain ⟨i,hi⟩ := hu
have hi' := hi
simp only [users,clusterUsers,Finset.mem_filter,Finset.mem_univ,true_and] at hi'
obtain ⟨j,hj,hjc,hjv⟩ : ∃ j<n+2, Canonical G (anchors d x n h) (configuration ω) j ∧
(G.openGraph (configuration ω)).Reachable (node d x n h j).1 v := by
rcases hi' with hi'|hi'
· exact ⟨idx i,(hb i).2,hcan i,hi'⟩
· exact ⟨F.parent (idx i),hpbound i,hpcan i,hi'⟩
have hm : Set.MapsTo idx (↑users : Set I) (↑(S.filter fun k => k=j ∨ F.parent k=j) : Set ℕ) := by
intro k hk
refine Finset.mem_filter.mpr ⟨hidx k,?_⟩
simp only [users,clusterUsers,Finset.mem_coe,Finset.mem_filter,Finset.mem_univ,true_and] at hk
rcases hk with hk|hk
· exact Or.inl (canonical_node_reachable_eq G d x n h (configuration ω) _ j
(hb k).2 hj (hcan k) hjc (hk.trans hjv.symm))
· exact Or.inr (canonical_node_reachable_eq G d x n h (configuration ω) _ j
(hpbound k) hj (hpcan k) hjc (hk.trans hjv.symm))
have hc : users.card ≤ (S.filter fun k => k=j ∨ F.parent k=j).card :=
Finset.card_le_card_of_injOn idx hm hinj.injOn
have ht := terminal_roots G order d x p w s n h (configuration ω) hr
have hne : F.root (owner G d x n h (configuration ω) (x (interval d n h).1)) ≠
F.root (owner G d x n h (configuration ω) (x (interval d n h).2)) := by
change (historyForest G d x (configuration ω) n h).root _ ≠ _
rw [ht.1,ht.2]
omega
exact hc.trans (F.active_pair_multiplicity hne j)
· have he : users=∅ := Finset.not_nonempty_iff_eq_empty.mp hu
change users.card ≤ 2
rw [he,Finset.card_empty]
omega
abbrev ActiveIndex (n : ℕ) (D : FixedDescriptor n) := {i : Fin n // (D i).2.2 = true}
def activeLeft (d : ℕ) (x : ℕ → V) (n : ℕ) (D : FixedDescriptor n) (i : ActiveIndex n D) : V :=
(descriptorNode (E := E) d x n D (i.val.val+2)).1
def activeRight (d : ℕ) (x : ℕ → V) (n : ℕ) (D : FixedDescriptor n) (i : ActiveIndex n D) : V :=
(descriptorNode (E := E) d x n D (descriptorParent (E := E) d x n D (i.val.val+2))).1
omit [Fintype I] in
lemma fixed_cluster_users_le (D : FixedDescriptor n) (m : Fin n → Option E)
(hz : conditionedMass G order d x p w s n D (ω,m) ≠ 0) (v : V) :
(clusterUsers G (activeLeft (E := E) d x n D) (activeRight (E := E) d x n D) ω v).card ≤ 2 := by
classical
obtain ⟨hD,hr⟩ := conditionedMass_support G order d x p w s n D (ω,m) hz
let h := fromWords (E := E) n (fun j => (D j).1) m
have hi (i : ActiveIndex n D) : i.val.val+2 ∈ activeNodes G d x n h (configuration ω) := by
rw [activeNodes_eq_descriptor G d x n h _ D hD]
exact Finset.mem_image.mpr ⟨i.val,Finset.mem_filter.mpr ⟨Finset.mem_univ _,i.property⟩,rfl⟩
have hinj : Function.Injective (fun i : ActiveIndex n D => i.val.val+2) := by
intro i j he
apply Subtype.ext
apply Fin.ext
dsimp only at he
omega
have he := active_cluster_users_le G order d x p w s n h ω hr _ hinj hi v
have hleft (i : ActiveIndex n D) : (node d x n h (i.val.val+2)).1 = activeLeft (E := E) d x n D i :=
congrArg Prod.fst (node_eq_descriptor G d x n h _ D hD _)
have hright (i : ActiveIndex n D) :
(node d x n h (nodeParent G d x (configuration ω) n h (i.val.val+2))).1 =
activeRight (E := E) d x n D i := by
rw [active_parent_eq_descriptor G order d x p w s n h _ hr D hD _ (hi i)]
exact congrArg Prod.fst (node_eq_descriptor G d x n h _ D hD _)
simp_rw [hleft,hright] at he
exact he
noncomputable section Entropy
local instance pairsClassicalFinDecidable (n : ℕ) : DecidableEq (Fin n) := Classical.decEq _
omit [Fintype I] in
lemma configurationMass_support (D : FixedDescriptor n) (η : E → Bool)
(hη : 0 < pushMass Prod.fst (conditionedMass G order d x p w s n D) η) :
∃ m, 0 < conditionedMass G order d x p w s n D (η,m) := by
by_contra! hn
have hz : pushMass Prod.fst (conditionedMass G order d x p w s n D) η ≤ 0 := by
unfold pushMass
apply Finset.sum_nonpos
intro z _
split_ifs with he
· rcases z with ⟨η',m⟩
dsimp only at he
subst η'
exact hn m
· rfl
linarith
omit [Fintype I] in
theorem conditioned_pair_entropy (D : FixedDescriptor n)
(hp : p ∈ Set.Ioo 0 1) (h0 : ∀ e, w e False = 1-p) (h1 : ∀ e, w e True = p)
(hδ : 0 < prob w (endpointEvent G (x 0) (x d) s))
(hD : 0 < descriptorMass G order d x p w s n D) :
let P := pushMass Prod.fst (conditionedMass G order d x p w s n D)
(∑ i : ActiveIndex n D,
divergence (pushMass (pair G (activeLeft (E := E) d x n D i)
(activeRight (E := E) d x n D i)).bare.run P)
((pair G (activeLeft (E := E) d x n D i) (activeRight (E := E) d x n D i)).bare.reference p)) ≤
16/(2*p*(1-p)) * divergence P (FiniteProduct.density (QueryTree.bitWeight p)) := by
cases Subsingleton.elim (inferInstance : DecidableEq V) (Classical.decEq V)
cases Subsingleton.elim (inferInstance : DecidableEq E) (Classical.decEq E)
dsimp only
let Q := conditionedMass G order d x p w s n D
have hQ : ∀ z, 0 ≤ Q z := conditionedMass_nonneg G order d x p w s n hp h0 h1 hδ D hD
have hQ1 : ∑ z, Q z = 1 := by
have he := conditionedMass_normalized G order d x p w s n D hD
refine Eq.trans ?_ he
apply Finset.sum_congr
· ext z; simp only [Finset.mem_univ]
· intro z _; rfl
apply pair_entropy hp G (activeLeft (E := E) d x n D) (activeRight (E := E) d x n D)
(pushMass Prod.fst Q) (pushMass_nonneg _ _ hQ) (by rw [pushMass_sum,hQ1])
intro η hη v
obtain ⟨m,hm⟩ := configurationMass_support G order d x p w s n D η hη
exact fixed_cluster_users_le G order d x p w s n η D m hm.ne' v
end Entropy
end CriticalPercolation.BinaryLaw
end
end
end OAI