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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Exploration.PrefixState
import OAI.Probability.CriticalPercolation.Exploration.ScoreMeanStep
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
variable {V E : Type*} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E]
omit [Fintype V] [Fintype E] in
lemma compile_stop (G : BondGraph V E) (order : List (Dart V E)) (B : Set V)
(fuel : ℕ) (st : State V E) (stack : List (Dart V E))
(hh : ∃ v ∈ st.reached, v ∈ B) :
compile G order B fuel st stack = .done st := by
cases fuel with
| zero => rfl
| succ n => rw [compile.eq_def]; exact ite_eq_left hh
theorem compile_score_second (G : BondGraph V E) (order : List (Dart V E))
(ho : Exhaustive G order) (a t : V) (fuel : ℕ) (st : State V E)
(stack : List (Dart V E)) (hrank : rank order st stack ≤ fuel)
{p : ℝ} (hp : p ∈ Set.Ioo 0 1) (w : E → Prop → ℝ)
(hw : ∀ e, ∑ b, w e b = 1) (hn : ∀ e b, 0 ≤ w e b)
(fresh : Fresh w p st.read) (hs : PrefixState G a st w) :
expect w (fun ω => ((compile G order {t} fuel st stack).score p (G.connects a t) w ω)^2) ≤
3*expect w ((compile G order {t} fuel st stack).score p (G.connects a t) w) := by
induction fuel generalizing st stack w with
| zero =>
change expect w (fun _ : E → Prop => (0:ℝ)^2) ≤ 3*expect w (fun _ : E → Prop => (0:ℝ))
simp only [zero_pow (by omega : 2 ≠ 0),expect_const w hw 0,mul_zero,le_refl]
| succ n ih =>
rw [compile.eq_def]
dsimp only
split_ifs with hh
· change expect w (fun _ : E → Prop => (0:ℝ)^2) ≤ 3*expect w (fun _ : E → Prop => (0:ℝ))
simp only [zero_pow (by omega : 2 ≠ 0),expect_const w hw 0,mul_zero,le_refl]
· cases stack with
| nil =>
change expect w (fun _ : E → Prop => (0:ℝ)^2) ≤ 3*expect w (fun _ : E → Prop => (0:ℝ))
simp only [zero_pow (by omega : 2 ≠ 0),expect_const w hw 0,mul_zero,le_refl]
| cons d rest =>
dsimp only
split_ifs with hd
· apply ih st rest (by have := rank_pop order st d rest; omega) w hw hn fresh hs
· have hz : d.2.2 ∉ st.reached := fun hz => hd (Or.inl hz)
have hf : d.2.1 ∉ st.read := fun hf => hd (Or.inr (Or.inl hf))
have hv : d.1 ∈ st.reached := by tauto
have he : G.ends d.2.1 = s(d.1,d.2.2) := by tauto
have ht : t ∉ st.reached := fun ht => hh ⟨t,ht,Set.mem_singleton t⟩
have hb := fresh d.2.1 hf
have h0 : w d.2.1 False ≠ 0 := by rw [hb.1]; exact (sub_pos.mpr hp.2).ne'
have h1 : w d.2.1 True ≠ 0 := by rw [hb.2]; exact hp.1.ne'
have hrc : rank order (st.closed d.2.1) rest ≤ n := by
have := rank_closed order st d rest
omega
have hro : rank order (st.opened d.2.1 d.2.2) (push G order d.2.2++rest) ≤ n := by
have := rank_opened G order st d rest hz
omega
have hrp : rank order (st.opened d.2.1 d.2.2) (push G order d.2.2) ≤ n := by
unfold rank at hro ⊢
simp only [List.length_append] at hro
omega
have hpair : expect (pin w d.2.1 True) (fun ω =>
if openPivot (G.connects a t) d.2.1 ω then
(compile G order {t} n (st.opened d.2.1 d.2.2) (push G order d.2.2++rest)).score p
(G.connects a t) (pin w d.2.1 True) ω else 0) ≤ delta w (G.connects a t) d.2.1 := by
by_cases hzt : d.2.2 = t
· have hstop := compile_stop G order {t} n (st.opened d.2.1 d.2.2)
(push G order d.2.2++rest) ⟨t,by simp [State.opened,hzt],Set.mem_singleton t⟩
simp only [hstop,score,ite_self,expect_const _ (pin_normalized w hw d.2.1 True) 0]
exact (delta_unit w hw hn d.2.1 h0 h1 _ (G.connects_mono a t)).1
· exact future_pair_bound G order ho a t d.1 d.2.2 d.2.1 st rest n
hv hz ht hzt hf he hrp hp w hw hn fresh hs
have hstep := score_second_step d.2.1
(compile G order {t} n (st.closed d.2.1) rest)
(compile G order {t} n (st.opened d.2.1 d.2.2) (push G order d.2.2++rest))
hp w hw hn hb.1 hb.2 (G.connects a t) (G.connects_mono a t) hpair
have hc := ih (st.closed d.2.1) rest hrc (pin w d.2.1 False)
(pin_normalized w hw d.2.1 False) (pin_nonneg w hn d.2.1 False)
(fresh_pin w p st.read fresh d.2.1 False) (prefixState_closed G a st w hs d.2.1 h0)
have ho' := ih (st.opened d.2.1 d.2.2) (push G order d.2.2++rest) hro (pin w d.2.1 True)
(pin_normalized w hw d.2.1 True) (pin_nonneg w hn d.2.1 True)
(fresh_pin w p st.read fresh d.2.1 True) (prefixState_opened G a st w hs d.2.1 d.1 d.2.2 hv he h1)
rw [score_mean_step _ _ _ hp w hw hb.1 hb.2 _ (G.connects_mono a t)]
have hc' := mul_le_mul_of_nonneg_left hc (sub_pos.mpr hp.2).le
have ho'' := mul_le_mul_of_nonneg_left ho' hp.1.le
linarith
end CriticalPercolation.LazyDFS
namespace CriticalPercolation.LazyDFS
open scoped Classical
open FiniteProduct SearchTree
variable {V E : Type*} [Fintype V] [Fintype E] [DecidableEq V] [DecidableEq E]
theorem search_pivotal_moments (G : BondGraph V E) (order : List (Dart V E))
(ho : Exhaustive G order) (a t : 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) :
expect w ((search G order a {t}).score p (G.connects a t) w) ≤ 1 ∧
expect w (fun ω => ((search G order a {t}).score p (G.connects a t) w ω)^2) ≤ 3 := by
have hw : ∀ e, ∑ b, w e b = 1 := by
intro e
simp [Fintype.univ_Prop,h0,h1]
have hn : ∀ e b, 0 ≤ w e b := by
intro e b
by_cases hb : b
· have : b = True := propext (iff_true_intro hb)
rw [this,h1]; exact hp.1.le
· have : b = False := propext (iff_false_intro hb)
rw [this,h0]; exact (sub_pos.mpr hp.2).le
have hf : Fresh w p (initial (E := E) a).read := fun e _ => ⟨h0 e,h1 e⟩
have hm := score_mean_le_variance (search G order a {t}) (initial a).read
(compile_valid G order {t} _ _ _) hp w hw hn hf _ (G.connects_mono a t)
have hmean := hm.trans (variance_le_one w hw hn _)
refine ⟨hmean,?_⟩
have hs := compile_score_second G order ho a t _ (initial a) (push G order a)
le_rfl hp w hw hn hf (prefixState_initial G a w)
change _ ≤ 3*expect w ((search G order a {t}).score p (G.connects a t) w) at hs
exact hs.trans (by linarith)
end CriticalPercolation.LazyDFS
end
end
end OAI