import OAI.Probability.GammaPassage.GridIndependence import OAI.Probability.GammaPassage.OriginEscape namespace OAI namespace GammaFPP.CrossingBridge open PlanarFPP Set Finset MeasureTheory ProbabilityTheory abbrev PathIn := IntervalTravelBridge.PathIn abbrev DependsOnEdges := Grid.DependsOnEdges @[simp] theorem pathIn_iff_interval (p : Vertex) (ds : List Step) (S : Set Vertex) : PathIn p ds S ↔ IntervalTravelBridge.PathIn p ds S := Iff.rfl @[simp] theorem depends_iff_grid (A : Set (Edge → ℝ)) (S : Finset Edge) : DependsOnEdges A S ↔ Grid.DependsOnEdges A S := Iff.rfl def edgeEnd (e : Edge) : Vertex := e.1 + if e.2 then (0,1) else (1,0) def internalEdges (V : Finset Vertex) : Finset Edge := (V ×ˢ Finset.univ).filter (fun e => edgeEnd e ∈ V) theorem mem_internalEdges (e : Edge) (V : Finset Vertex) : e ∈ internalEdges V ↔ e.1 ∈ V ∧ edgeEnd e ∈ V := by simp [internalEdges] theorem internalEdges_card_le (V : Finset Vertex) : (internalEdges V).card ≤ 2*V.card := by have h := Finset.card_filter_le (s := V ×ˢ (Finset.univ : Finset Bool)) (fun e => edgeEnd e ∈ V) simpa [internalEdges,Nat.mul_comm] using h theorem step_mem_internalEdges (V : Finset Vertex) (p : Vertex) (d : Step) (hp : p ∈ V) (hq : p+d.delta ∈ V) : d.edge p ∈ internalEdges V := by rw [mem_internalEdges] cases d <;> simp_all [Step.edge,Step.delta,edgeEnd,add_assoc] all_goals change p+0 ∈ V; simpa using hp theorem internalEdges_disjoint {V W : Finset Vertex} (h : Disjoint V W) : Disjoint (internalEdges V) (internalEdges W) := by apply Finset.disjoint_left.mpr intro e he hf exact Finset.disjoint_left.mp h (mem_internalEdges e V |>.mp he).1 (mem_internalEdges e W |>.mp hf).1 def pathEdges (p : Vertex) : List Step → Finset Edge | [] => ∅ | d::ds => insert (d.edge p) (pathEdges (p+d.delta) ds) theorem pathIn_cons_iff (p : Vertex) (d : Step) (ds : List Step) (S : Set Vertex) : PathIn p (d::ds) S ↔ p ∈ S ∧ PathIn (p+d.delta) ds S := by constructor · intro h refine ⟨by simpa using h 0 (by simp),?_⟩ intro i hi have hh := h (i+1) (by simpa using hi) simpa only [List.take_succ_cons,displacement_cons,add_assoc] using hh · rintro ⟨hp,ht⟩ i hi cases i with | zero => simpa using hp | succ i => have hh := ht i (by simpa using hi) simpa only [List.take_succ_cons,displacement_cons,add_assoc] using hh theorem pathIn_endpoint (p : Vertex) (ds : List Step) (S : Set Vertex) (h : PathIn p ds S) : p+displacement ds ∈ S := by simpa using h ds.length le_rfl theorem pathEdges_subset_internalEdges (V : Finset Vertex) (p : Vertex) (ds : List Step) (h : PathIn p ds (V : Set Vertex)) : pathEdges p ds ⊆ internalEdges V := by induction ds generalizing p with | nil => simp [pathEdges] | cons d ds ih => obtain ⟨hp,ht⟩ := (pathIn_cons_iff p d ds _).mp h have hq : p+d.delta ∈ V := by simpa using ht 0 (by omega) intro e he rcases Finset.mem_insert.mp he with he | he · rw [he] exact step_mem_internalEdges V p d hp hq · exact ih (p+d.delta) ht he theorem pathCost_eq_of_agree (w w' : Edge → ℝ) (p : Vertex) (ds : List Step) (h : ∀ e ∈ pathEdges p ds, w e=w' e) : pathCost w p ds=pathCost w' p ds := by induction ds generalizing p with | nil => rfl | cons d ds ih => simp only [pathCost] rw [h (d.edge p) (by simp [pathEdges])] rw [ih (p+d.delta) (fun e he => h e (by simp [pathEdges,he]))] def strictLocalizedEvent (V : Finset Vertex) (family : Vertex → List Step → Prop) (bound : Vertex → List Step → ℝ) : Set (Edge → ℝ) := {w | ∃ p ds, family p ds ∧ PathIn p ds (V : Set Vertex) ∧ pathCost w p ds < bound p ds} def boundedLocalizedEvent (V : Finset Vertex) (family : Vertex → List Step → Prop) (bound : Vertex → List Step → ℝ) : Set (Edge → ℝ) := {w | ∃ p ds, family p ds ∧ PathIn p ds (V : Set Vertex) ∧ pathCost w p ds ≤ bound p ds} theorem measurableSet_strictLocalizedEvent (V : Finset Vertex) (family : Vertex → List Step → Prop) (bound : Vertex → List Step → ℝ) : MeasurableSet (strictLocalizedEvent V family bound) := by simpa only [strictLocalizedEvent,and_assoc] using measurableSet_strict_path_event (τ := fun e (w : Edge → ℝ) => w e) measurable_pi_apply (fun p ds => family p ds ∧ PathIn p ds (V : Set Vertex)) bound theorem measurableSet_boundedLocalizedEvent (V : Finset Vertex) (family : Vertex → List Step → Prop) (bound : Vertex → List Step → ℝ) : MeasurableSet (boundedLocalizedEvent V family bound) := by simpa only [boundedLocalizedEvent,and_assoc] using measurableSet_bounded_path_event (τ := fun e (w : Edge → ℝ) => w e) measurable_pi_apply (fun p ds => family p ds ∧ PathIn p ds (V : Set Vertex)) bound theorem strictLocalizedEvent_depends (V : Finset Vertex) (family : Vertex → List Step → Prop) (bound : Vertex → List Step → ℝ) : DependsOnEdges (strictLocalizedEvent V family bound) (internalEdges V) := by intro w w' hh have hc (p ds) (hin : PathIn p ds (V : Set Vertex)) : pathCost w p ds=pathCost w' p ds := pathCost_eq_of_agree w w' p ds (fun e he => hh e (pathEdges_subset_internalEdges V p ds hin he)) constructor · rintro ⟨p,ds,hf,hin,hcost⟩ exact ⟨p,ds,hf,hin,by rwa [← hc p ds hin]⟩ · rintro ⟨p,ds,hf,hin,hcost⟩ exact ⟨p,ds,hf,hin,by rwa [hc p ds hin]⟩ theorem boundedLocalizedEvent_depends (V : Finset Vertex) (family : Vertex → List Step → Prop) (bound : Vertex → List Step → ℝ) : DependsOnEdges (boundedLocalizedEvent V family bound) (internalEdges V) := by intro w w' hh have hc (p ds) (hin : PathIn p ds (V : Set Vertex)) : pathCost w p ds=pathCost w' p ds := pathCost_eq_of_agree w w' p ds (fun e he => hh e (pathEdges_subset_internalEdges V p ds hin he)) constructor · rintro ⟨p,ds,hf,hin,hcost⟩ exact ⟨p,ds,hf,hin,by rwa [← hc p ds hin]⟩ · rintro ⟨p,ds,hf,hin,hcost⟩ exact ⟨p,ds,hf,hin,by rwa [hc p ds hin]⟩ theorem strip_vertices_disjoint (V W : Finset Vertex) (b y z R : ℝ) (hV : ∀ v ∈ V, |transverse b v-y| ≤ R) (hW : ∀ v ∈ W, |transverse b v-z| ≤ R) (hsep : 2*R < |y-z|) : Disjoint V W := by apply Finset.disjoint_left.mpr intro v hv hw have ht := abs_add_le (y-transverse b v) (transverse b v-z) rw [sub_add_sub_cancel,abs_sub_comm y (transverse b v)] at ht have h1 := hV v hv have h2 := hW v hw linarith end GammaFPP.CrossingBridge end OAI