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import Mathlib
import OAI.Probability.CriticalPercolation.Exploration.CompileEmptyReads
namespace OAI
section
section
open Set MeasureTheory ProbabilityTheory
open Set
open scoped BigOperators
open scoped Classical
namespace CriticalPercolation.LazyDFS
open scoped Classical
open FiniteProduct SearchTree BondGraph
variable {V E : Type*} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E]
omit [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E] in
lemma exhaustive_mapTarget (G : BondGraph V E) (B : Set V) (order : List (Dart V E))
(ho : Exhaustive G order) : Exhaustive (G.wireTargets B) (order.map (mapDart B)) := by
intro v e t he
obtain ⟨a,b,hab⟩ : ∃ a b, G.ends e = s(a,b) := Sym2.exists.mp ⟨G.ends e,rfl⟩
change Sym2.map (collapseTarget B) (G.ends e) = s(v,t) at he
rw [hab,Sym2.map_mk] at he
rcases Sym2.eq_iff.mp he with ⟨ha,hb⟩ | ⟨ha,hb⟩
· exact List.mem_map.mpr ⟨(a,e,b),ho a e b hab,by simp only [mapDart,ha,hb]⟩
· exact List.mem_map.mpr ⟨(b,e,a),ho b e a (hab.trans Sym2.eq_swap),
by simp only [mapDart,ha,hb]⟩
omit [Fintype V] [Fintype E] [DecidableEq E] in
lemma mapState_initial (B : Set V) (a : V) :
mapState (E := E) B (initial a) = initial (collapseTarget B a) := by
simp [mapState,initial]
omit [Fintype E] in
theorem search_reads_targetWiring (G : BondGraph V E) (B : Set V)
(order : List (Dart V E)) (horder : GoodDarts G order) (a : V) (ω : E → Bool) :
(search G order a B).reads ω =
(search (G.wireTargets B) (order.map (mapDart B)) (collapseTarget B a) {none}).reads ω := by
by_cases ha : a ∈ B
· have hs := compile_stop G order B (rank order (initial a) (push G order a))
(initial a) (push G order a) ⟨a,Finset.mem_singleton_self _,ha⟩
have hn := (collapseTarget_eq_none B a).mpr ha
have hs' := compile_stop (G.wireTargets B) (order.map (mapDart B)) {none}
(rank (order.map (mapDart B)) (initial (collapseTarget B a))
(push (G.wireTargets B) (order.map (mapDart B)) (collapseTarget B a)))
(initial (collapseTarget B a))
(push (G.wireTargets B) (order.map (mapDart B)) (collapseTarget B a))
⟨collapseTarget B a,Finset.mem_singleton_self _,by simp only [Set.mem_singleton_iff,hn]⟩
unfold search
rw [hs,hs']; rfl
· let r := rank order (initial (E := E) a) (push G order a)
let r' := rank (order.map (mapDart B)) (initial (E := E) (collapseTarget B a))
(push (G.wireTargets B) (order.map (mapDart B)) (collapseTarget B a))
have h := compile_reads_targetWiring G B order horder (max r r')
(initial a) (push G order a) (push_goodDarts G order a) ω
rw [mapState_initial,push_mapTarget G B order horder a ha] at h
have h1 := compile_reads_rank_independent G order B r (max r r')
(initial a) (push G order a) ω le_rfl (le_max_left ..)
have h2 := compile_reads_rank_independent (G.wireTargets B) (order.map (mapDart B)) {none}
r' (max r r') (initial (collapseTarget B a))
(push (G.wireTargets B) (order.map (mapDart B)) (collapseTarget B a)) ω
le_rfl (le_max_right ..)
exact h1.trans (h.trans h2.symm)
theorem search_target_pivotal_moments (G : BondGraph V E) (B : Set V)
(order : List (Dart V E)) (horder : GoodDarts G order) (ho : Exhaustive G order)
(a : V) {p : ℝ} (hp : p ∈ Set.Ioo 0 1) (w : E → Prop → ℝ)
(h0 : ∀ e, w e False = 1-p) (h1 : ∀ e, w e True = p) :
let F := fun ω : Set E => ∃ b ∈ B, (G.openGraph ω).Reachable a b
expect w ((search G order a B).score p F w) ≤ 1 ∧
expect w (fun ω => ((search G order a B).score p F w ω)^2) ≤ 3 := by
let F := fun ω : Set E => ∃ b ∈ B, (G.openGraph ω).Reachable a b
have h := targetSearch_moments G B (order.map (mapDart B))
(exhaustive_mapTarget G B order ho) a hp w h0 h1
have heq : (search G order a B).score p F w =
(targetSearch G B (order.map (mapDart B)) a).score p F w := by
funext ω
rw [score_eq_listScore,score_eq_listScore]
unfold targetSearch
rw [search_reads_targetWiring G B order horder]
change expect w ((search G order a B).score p F w) ≤ 1 ∧ _
rw [heq]
exact h
end CriticalPercolation.LazyDFS
namespace CriticalPercolation.SearchTree
open scoped Classical
open FiniteProduct LazyDFS
variable {E R : Type*} [Fintype E] [DecidableEq E]
def ClosedFresh (r : E → Prop → ℝ) (p : ℝ) (C : Set E) (used : Finset E) : Prop :=
∀ e ∉ used, r e False = (if e ∈ C then 1 else 1-p) ∧
r e True = (if e ∈ C then 0 else p)
omit [Fintype E] in
lemma closedFresh_pin (r : E → Prop → ℝ) (p : ℝ) (C : Set E) (used : Finset E)
(hf : ClosedFresh r p C used) (e : E) (b : Prop) :
ClosedFresh (pin r e b) p C (insert e used) := by
intro j hj
have hj' : j ≠ e ∧ j ∉ used := by simpa only [Finset.mem_insert,not_or] using hj
unfold pin
simp only [Function.update,dite_eq_right hj'.1]
exact hf j hj'.2
noncomputable def contactScore (T : SearchTree E R) (p : ℝ) (C : Set E)
(F : Set E → Prop) (w : E → Prop → ℝ) (ω : E → Prop) : ℝ :=
match T with
| .done _ => 0
| .ask e l r => (if e ∈ C then p*delta w F e else 0) +
if ω e then r.contactScore p C F (pin w e True) ω
else l.contactScore p C F (pin w e False) ω
noncomputable def terminalProbability (T : SearchTree E R) (F : Set E → Prop)
(w : E → Prop → ℝ) (ω : E → Prop) : ℝ :=
match T with
| .done _ => prob w F
| .ask e l r => if ω e then r.terminalProbability F (pin w e True) ω
else l.terminalProbability F (pin w e False) ω
omit [DecidableEq E] in
lemma contact_mean_step (e : E) (l r : SearchTree E R) (p : ℝ) (C : Set E)
(F : Set E → Prop) (w v : E → Prop → ℝ) (hv : ∀ e, ∑ b, v e b = 1) :
expect v ((.ask e l r : SearchTree E R).contactScore p C F w) =
(if e ∈ C then p*delta w F e else 0) +
v e True*expect (pin v e True) (r.contactScore p C F (pin w e True)) +
v e False*expect (pin v e False) (l.contactScore p C F (pin w e False)) := by
change expect v (fun ω => (if e ∈ C then p*delta w F e else 0) +
if ω e then r.contactScore p C F (pin w e True) ω
else l.contactScore p C F (pin w e False) ω) = _
rw [expect_add,expect_const v hv]
erw [expect_prop_ite]
ring
omit [DecidableEq E] in
lemma terminal_mean_step (e : E) (l r : SearchTree E R) (F : Set E → Prop)
(w v : E → Prop → ℝ) :
expect v ((.ask e l r : SearchTree E R).terminalProbability F w) =
v e True*expect (pin v e True) (r.terminalProbability F (pin w e True)) +
v e False*expect (pin v e False) (l.terminalProbability F (pin w e False)) := by
exact expect_prop_ite v e _ _
theorem contact_mean_terminal (T : SearchTree E R) (used : Finset E) (hT : T.Valid used)
(p : ℝ) (C : Set E) (F : Set E → Prop) (w v : E → Prop → ℝ)
(hw : ∀ e, ∑ b, w e b = 1) (hv : ∀ e, ∑ b, v e b = 1)
(hf : Fresh w p used) (hc : ClosedFresh v p C used) :
expect v (T.contactScore p C F w) + expect v (T.terminalProbability F w) = prob w F := by
induction T generalizing used w v with
| done r =>
change expect v (fun _ => 0) + expect v (fun _ => prob w F) = prob w F
rw [expect_zero,expect_const v hv,zero_add]
| ask e l r hl hr =>
have he : w e False = 1-p ∧ w e True = p := hf e hT.1
have hv' := hc e hT.1
have hl' := hl (insert e used) hT.2.1 (pin w e False) (pin v e False)
(pin_normalized w hw e False) (pin_normalized v hv e False)
(fresh_pin w p used hf e False) (closedFresh_pin v p C used hc e False)
have hr' := hr (insert e used) hT.2.2 (pin w e True) (pin v e True)
(pin_normalized w hw e True) (pin_normalized v hv e True)
(fresh_pin w p used hf e True) (closedFresh_pin v p C used hc e True)
have hs : prob w F = w e False*prob (pin w e False) F +
w e True*prob (pin w e True) F := expect_split_pin w e _
rw [contact_mean_step e l r p C F w v hv,terminal_mean_step,hv'.1,hv'.2]
rw [he.1,he.2] at hs
by_cases heC : e ∈ C <;> simp only [heC,↓reduceIte,zero_mul,one_mul,add_zero,zero_add]
· unfold delta
linear_combination hl' - hs
· linear_combination (1-p)*hl' + p*hr' - hs
omit [DecidableEq E] in
lemma terminalProbability_nonneg (T : SearchTree E R) (F : Set E → Prop)
(w : E → Prop → ℝ) (hn : ∀ e b, 0 ≤ w e b) (ω : E → Prop) :
0 ≤ T.terminalProbability F w ω := by
induction T generalizing w with
| done r => exact prob_nonneg w hn F
| ask e l r hl hr =>
unfold terminalProbability
split_ifs
· exact hr (pin w e True) (pin_nonneg w hn e True)
· exact hl (pin w e False) (pin_nonneg w hn e False)
theorem contact_mean_le_prob (T : SearchTree E R) (used : Finset E) (hT : T.Valid used)
(p : ℝ) (C : Set E) (F : Set E → Prop) (w v : E → Prop → ℝ)
(hw : ∀ e, ∑ b, w e b = 1) (hv : ∀ e, ∑ b, v e b = 1)
(hnw : ∀ e b, 0 ≤ w e b) (hnv : ∀ e b, 0 ≤ v e b)
(hf : Fresh w p used) (hc : ClosedFresh v p C used) :
expect v (T.contactScore p C F w) ≤ prob w F := by
have ht := contact_mean_terminal T used hT p C F w v hw hv hf hc
have hn := expect_nonneg hnv (terminalProbability_nonneg T F w hnw)
linarith
omit [DecidableEq E] in
lemma expect_square_add_const (v : E → Prop → ℝ) (hv : ∀ e, ∑ b, v e b = 1)
(a : ℝ) (f : (E → Prop) → ℝ) :
expect v (fun ω => (a+f ω)^2) = a^2+2*a*expect v f+expect v (fun ω => (f ω)^2) := by
have heq : (fun ω => (a+f ω)^2) = (fun ω => a^2+2*a*f ω+(f ω)^2) := by
funext ω; ring
rw [heq,expect_add,expect_add,expect_const v hv,expect_const_mul]
theorem contact_second_le_three_mean (T : SearchTree E R) (used : Finset E) (hT : T.Valid used)
{p : ℝ} (hp : p ∈ Set.Ioo 0 1) (C : Set E) (F : Set E → Prop)
(hF : ∀ s t, s ⊆ t → F s → F t) (w v : E → Prop → ℝ)
(hw : ∀ e, ∑ b, w e b = 1) (hv : ∀ e, ∑ b, v e b = 1)
(hnw : ∀ e b, 0 ≤ w e b) (hnv : ∀ e b, 0 ≤ v e b)
(hf : Fresh w p used) (hc : ClosedFresh v p C used) :
expect v (fun ω => (T.contactScore p C F w ω)^2) ≤
3*expect v (T.contactScore p C F w) := by
induction T generalizing used w v with
| done r =>
change expect v (fun _ => (0:ℝ)^2) ≤ 3*expect v (fun _ => 0)
rw [expect_const v hv,expect_zero]
norm_num
| ask e l r hl hr =>
have he := hf e hT.1
have hv' := hc e hT.1
have hl' := hl (insert e used) hT.2.1 (pin w e False) (pin v e False)
(pin_normalized w hw e False) (pin_normalized v hv e False)
(pin_nonneg w hnw e False) (pin_nonneg v hnv e False)
(fresh_pin w p used hf e False) (closedFresh_pin v p C used hc e False)
have hr' := hr (insert e used) hT.2.2 (pin w e True) (pin v e True)
(pin_normalized w hw e True) (pin_normalized v hv e True)
(pin_nonneg w hnw e True) (pin_nonneg v hnv e True)
(fresh_pin w p used hf e True) (closedFresh_pin v p C used hc e True)
let a := if e ∈ C then p*delta w F e else 0
have hsq : (fun ω => ((.ask e l r : SearchTree E R).contactScore p C F w ω)^2) =
(fun ω => if ω e then (a+r.contactScore p C F (pin w e True) ω)^2
else (a+l.contactScore p C F (pin w e False) ω)^2) := by
funext ω
change ((if e ∈ C then p*delta w F e else 0) +
if ω e then r.contactScore p C F (pin w e True) ω
else l.contactScore p C F (pin w e False) ω)^2 = _
by_cases hω : ω e <;> simp only [hω,↓reduceIte,a]
rw [hsq]
erw [expect_prop_ite]
rw [contact_mean_step e l r p C F w v hv,hv'.1,hv'.2]
by_cases heC : e ∈ C
· simp only [heC,↓reduceIte,zero_mul,one_mul,add_zero,zero_add]
have haeq : a = p*delta w F e := ite_eq_left heC
rw [← haeq]
change expect (pin v e False) (fun ω => (a+l.contactScore p C F (pin w e False) ω)^2) ≤
3*(a+expect (pin v e False) (l.contactScore p C F (pin w e False)))
rw [expect_square_add_const _ (pin_normalized v hv e False)]
have hmean := (contact_mean_le_prob l (insert e used) hT.2.1 p C F
(pin w e False) (pin v e False) (pin_normalized w hw e False)
(pin_normalized v hv e False) (pin_nonneg w hnw e False) (pin_nonneg v hnv e False)
(fresh_pin w p used hf e False) (closedFresh_pin v p C used hc e False)).trans
(prob_le_one _ (pin_normalized w hw e False) (pin_nonneg w hnw e False) F)
have hd := delta_unit w hw hnw e (by rw [he.1]; exact (sub_pos.mpr hp.2).ne')
(by rw [he.2]; exact hp.1.ne') F hF
have ha : 0 ≤ a ∧ a ≤ 1 := by
simp only [a,heC,↓reduceIte]
exact ⟨mul_nonneg hp.1.le hd.1,
(mul_le_mul_of_nonneg_left hd.2 hp.1.le).trans (by linarith [hp.2])⟩
have hpair := mul_le_mul_of_nonneg_left hmean ha.1
nlinarith
· have ha : a = 0 := ite_eq_right heC
simp only [heC,↓reduceIte,ha,zero_add]
have hlb := mul_le_mul_of_nonneg_left hl' (sub_pos.mpr hp.2).le
have hrb := mul_le_mul_of_nonneg_left hr' hp.1.le
linarith
end CriticalPercolation.SearchTree
end
end
end OAI