openAI-math-dataset / lean /OAI /Probability /CriticalZ3 /ExplorationProbability.lean
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import OAI.Probability.CriticalZ3.ExplorationInvariant
namespace OAI
open _root_.MeasureTheory _root_.OAI.MeasureTheory ProbabilityTheory Classical Filter Topology Function
open scoped ENNReal BigOperators Matrix
namespace CriticalZ3
open _root_.MeasureTheory _root_.OAI.MeasureTheory ProbabilityTheory Classical InfiniteConditioning
namespace Coarse.Exploration
variable {m : Model} {r : ℕ}
theorem run_add (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (a b : ℕ) (s : Exploration m r) (ω : m.Config) :
run q δ (a+b) s ω = run q δ b (run q δ a s ω) ω := by
induction a generalizing s with
| zero => simp only [Nat.zero_add,run_zero]
| succ a ih => rw [Nat.succ_add,run_succ,ih,run_succ]
theorem run_stable (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config)
{N k : ℕ} (hN : (run q δ N s ω).queue = []) (hk : N ≤ k) :
run q δ k s ω = run q δ N s ω := by
rw [←Nat.add_sub_of_le hk,run_add]
exact run_empty q δ hN _ ω
theorem good_eq_of_empty (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r) (ω : m.Config)
{N : ℕ} (hN : (run q δ N s ω).queue = []) :
Good q δ s ω = ((run q δ N s ω).good : Set Point) := by
ext v
constructor
· rintro ⟨k,hk⟩
have hh := run_good_mono q δ s ω (show k ≤ N+k by omega) hk
dsimp only at hh
rwa [run_stable q δ s ω hN (show N ≤ N+k by omega)] at hh
· intro h; exact ⟨N,h⟩
theorem exists_empty_of_finite_good {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r}
(hs : s.Valid q δ) (hc : s.Covered) (ω : m.Config) (hfin : (Good q δ s ω).Finite) :
∃ n, (run q δ n s ω).queue = [] := by
let X := Good q δ s ω
let F := X ∪ ⋃ d : Direction, (fun v : Point => v+outward d) '' X
have hF : F.Finite := hfin.union (Set.finite_iUnion (fun d => hfin.image _))
have hbound (n : ℕ) : (run q δ n s ω).processed ⊆ hF.toFinset := by
intro v hv
apply hF.mem_toFinset.mpr
have hh := run_covered q δ hc n ω v ((run q δ n s ω).processed_visited hv)
rcases hh with hv|⟨u,hu,d,rfl⟩
· exact Or.inl ⟨n,hv⟩
· exact Or.inr (Set.mem_iUnion.mpr ⟨d,u,⟨n,hu⟩,rfl⟩)
by_contra! hn
have hcard (n : ℕ) : s.processed.card+n ≤ (run q δ n s ω).processed.card := by
induction n with
| zero => simp only [run_zero,Nat.add_zero,le_refl]
| succ n ih =>
have hvalid := run_valid hs n ω
cases hq : (run q δ n s ω).queue with
| nil => exact False.elim (hn n hq)
| cons t ts =>
rw [run_succ_right,advance_processed _ q δ ω hq,
Finset.card_insert_of_notMem (hvalid.unprocessed t (by simp [hq]))]
omega
have hh := (hcard (hF.toFinset.card+1)).trans (Finset.card_le_card (hbound _))
omega
theorem outside_bad {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r}
(hs : s.Valid q δ) (hc : s.Colored) (hclosed : s.Closed) (hcovered : s.Covered)
(ω : m.Config) (hfin : (Good q δ s ω).Finite)
{x : Point} (hx : x ∈ Good q δ s ω) (d : Direction)
(hy : x+outward d ∉ Good q δ s ω) : ω ∈ Bad q δ s (x+outward d) := by
obtain ⟨N,hN⟩ := exists_empty_of_finite_good hs hcovered ω hfin
have he := good_eq_of_empty q δ s ω hN
have hxN : x ∈ (run q δ N s ω).good := by
change x ∈ ((run q δ N s ω).good : Set Point)
rwa [←he]
have hv := run_closed q δ hclosed N ω x hxN d
have hp : x+outward d ∈ (run q δ N s ω).processed := by
simpa only [visited,hN,List.map_nil,List.toFinset_nil,Finset.union_empty] using hv
rw [(run_colored hs hc N ω).partition,Finset.mem_union] at hp
rcases hp with hg|hb
· exact False.elim (hy ⟨N,hg⟩)
· exact ⟨N,hb⟩
theorem hit_of_bad_subset {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r}
(hs : s.Valid q δ) (hc : s.Colored) (n : ℕ) (ω : m.Config) (U : Finset Point)
(hd : Disjoint U s.processed) (hU : U ⊆ (run q δ n s ω).bad) :
ω ∈ (scheme (r := r) q δ).hit n s U := by
induction n generalizing s U with
| zero =>
have he : U = ∅ := by
apply Finset.eq_empty_iff_forall_notMem.mpr
intro v hv
exact Finset.disjoint_left.mp hd hv (hc.bad_processed (hU hv))
rw [he,AdaptiveReveals.Scheme.hit_empty]
trivial
| succ n ih =>
cases hq : s.queue with
| nil =>
have he : U = ∅ := by
apply Finset.eq_empty_iff_forall_notMem.mpr
intro v hv
rw [run_empty q δ hq] at hU
exact Finset.disjoint_left.mp hd hv (hc.bad_processed (hU hv))
rw [he,AdaptiveReveals.Scheme.hit_empty]
trivial
| cons t ts =>
have hchild : (scheme (r := r) q δ).child s (s.reveal.restrict ω) = s.advance q δ ω :=
(ProductCylinder.determinedBy_eq_extend (s.advance_determined q δ) ω).symm
have hbad : (scheme (r := r) q δ).bad s (s.reveal.restrict ω) = s.markedBad q δ ω :=
(ProductCylinder.determinedBy_eq_extend (s.markedBad_determined q δ) ω).symm
have hv : (scheme (r := r) q δ).vertex s = some t.vertex := by simp only [scheme,hq,List.head?_cons,Option.map_some]
rw [AdaptiveReveals.Scheme.hit,hv]
change (t.vertex ∈ U → (scheme (r := r) q δ).bad s (s.reveal.restrict ω) = true) ∧
ω ∈ (scheme (r := r) q δ).hit n
((scheme (r := r) q δ).child s (s.reveal.restrict ω)) (U.erase t.vertex)
rw [hchild,hbad]
constructor
· intro hv
have hna : ¬s.Accept q δ t ω := by
intro ha
have hg : t.vertex ∈ (s.advance q δ ω).good := by
simp only [advance,hq,ite_eq_left ha]; exact Finset.mem_insert_self _ _
have hg' := run_good_mono q δ (s.advance q δ ω) ω (Nat.zero_le n) hg
exact Finset.disjoint_left.mp (run_colored hs hc (n+1) ω).disjoint hg' (hU hv)
simpa only [markedBad,hq,decide_eq_true_eq] using hna
· apply ih (valid_advance hs ω) (colored_advance hs hc ω) (U.erase t.vertex)
· apply Finset.disjoint_left.mpr
intro v hv hp
rw [advance_processed s q δ ω hq,Finset.mem_insert] at hp
rcases hp with he|hp
· exact (Finset.mem_erase.mp hv).1 he
· exact Finset.disjoint_left.mp hd (Finset.mem_of_mem_erase hv) hp
· exact Finset.Subset.trans (Finset.erase_subset _ _) hU
theorem exists_bad_time (q : Set.Icc (0:ℝ) 1) (δ : ℝ) (s : Exploration m r)
(ω : m.Config) (U : Finset Point) (hU : ∀ v ∈ U, ω ∈ Bad q δ s v) :
∃ n, U ⊆ (run q δ n s ω).bad := by
induction U using Finset.induction_on with
| empty => exact ⟨0,Finset.empty_subset _⟩
| @insert a U ha ih =>
obtain ⟨k,hk⟩ := hU a (Finset.mem_insert_self _ _)
obtain ⟨n,hn⟩ := ih (fun v hv => hU v (Finset.mem_insert_of_mem hv))
refine ⟨max k n,?_⟩
intro v hv
rcases Finset.mem_insert.mp hv with rfl|hv
· exact run_bad_mono q δ s ω (le_max_left _ _) hk
· exact run_bad_mono q δ s ω (le_max_right _ _) (hn hv)
theorem bad_set_subset {q : Set.Icc (0:ℝ) 1} {δ : ℝ} {s : Exploration m r}
(hs : s.Valid q δ) (hc : s.Colored) (hb : s.bad = ∅) (U : Finset Point) :
{ω | ∀ v ∈ U, ω ∈ Bad q δ s v} ⊆ ⋃ n, (scheme (r := r) q δ).hit n s U := by
intro ω hω
obtain ⟨n,hn⟩ := exists_bad_time q δ s ω U hω
apply Set.mem_iUnion.mpr
refine ⟨n,hit_of_bad_subset hs hc n ω U ?_ hn⟩
apply Finset.disjoint_left.mpr
intro v hv hp
have hg : v ∈ s.good := by simpa only [hc.partition,hb,Finset.union_empty] using hp
have hgn := run_good_mono q δ s ω (Nat.zero_le n) hg
exact Finset.disjoint_left.mp (run_colored hs hc n ω).disjoint hgn (hn hv)
theorem bad_set_bound (sc : ScaleData m) {s : Exploration m sc.r}
(hs : s.Valid sc.q sc.δ) (hc : s.Colored) (hb : s.bad = ∅) (U : Finset Point) :
(ProductCylinder.law (s.history.parameter sc.q)).real
{ω | ∀ v ∈ U, ω ∈ Bad sc.q sc.δ s v} ≤ CriticalScales.contourError^U.card :=
(measureReal_mono (bad_set_subset hs hc hb U)).trans (everHit_bound sc hs U)
theorem finite_good_bound (sc : ScaleData m) {s : Exploration m sc.r}
(hs : s.Valid sc.q sc.δ) (hc : s.Colored) (hb : s.bad = ∅)
(hclosed : s.Closed) (hcovered : s.Covered) :
(ProductCylinder.law (s.history.parameter sc.q)).real
{ω | (Good sc.q sc.δ s ω).Finite ∧ (0,0) ∈ Good sc.q sc.δ s ω} ≤ 25/144 := by
apply PlanarBoundary.finite_good_bound _ (Good sc.q sc.δ s) (Bad sc.q sc.δ s)
(fun ω hfin x hx d hy => outside_bad hs hc hclosed hcovered ω hfin hx d hy)
(fun U => bad_set_bound sc hs hc hb U)
end Coarse.Exploration
end CriticalZ3
end OAI