import OAI.Combinatorics.GraphThreshold.ProbabilityTree import Mathlib.Tactic namespace OAI /-! Path and locality facts for the stable finite probability-tree representation. -/ noncomputable section namespace LeanBlast.SecondKahnKalai section Locality variable {X β : Type*} [DecidableEq X] {S T A : Finset X} {f : Finset X → β} theorem DependsOnlyOn.mono (hf : DependsOnlyOn S f) (hST : S ⊆ T) : DependsOnlyOn T f := by intro W V hWV apply hf W V apply Finset.ext intro x by_cases hx : x ∈ S · have hxT := hST hx have he := Finset.ext_iff.mp hWV x simpa [hx, hxT] using he · simp [hx] theorem DependsOnlyOn.dependsOutside (hf : DependsOnlyOn S f) (hAS : Disjoint A S) : DependsOutside A f := by intro W V hWV apply hf W V apply Finset.ext intro x by_cases hx : x ∈ S · have hxA : x ∉ A := fun hxA => Finset.disjoint_left.mp hAS hxA hx have he := Finset.ext_iff.mp hWV x simpa [hx, hxA] using he · simp [hx] theorem DependsOutside.sdiff_eq (hf : DependsOutside A f) (W : Finset X) : f (W \ A) = f W := by apply hf ext x simp theorem dependsOutside_iff_sdiff : DependsOutside A f ↔ ∀ W, f (W \ A) = f W := by constructor · exact fun hf => hf.sdiff_eq · intro hf W V hWV rw [← hf W, ← hf V, hWV] theorem DependsOutside.union_eq (hf : DependsOutside A f) (W U : Finset X) (hU : U ⊆ A) : f (W ∪ U) = f W := by apply hf ext x by_cases hx : x ∈ A · simp [hx] · have hxU : x ∉ U := fun hxU => hx (hU hxU) simp [hx, hxU] end Locality namespace ProbabilityTree variable {X : Type} /-- A finite law of total mass one has a nonempty underlying type. -/ theorem branch_nonempty {B : Type} [Fintype B] (law : FiniteLaw B) : Nonempty B := by classical by_contra h let : IsEmpty B := not_nonempty_iff.mp h have ht := law.total simp at ht /-- Every equal-depth probability tree has at least one full path. -/ instance pathNonempty {d : ℕ} (T : ProbabilityTree X d) : Nonempty T.Path := by induction T with | leaf => exact ⟨PUnit.unit⟩ | @node d B inst law positive label child ih => let b : B := Classical.choice (branch_nonempty law) exact ⟨⟨b, Classical.choice (ih b)⟩⟩ /-- A fixed deterministic full path, used only to resolve finite choices. -/ def choosePath {d : ℕ} (T : ProbabilityTree X d) : T.Path := Classical.choice (pathNonempty T) @[simp] theorem pathLabels_length {d : ℕ} (T : ProbabilityTree X d) (p : T.Path) : (T.pathLabels p).length = d := by induction T with | leaf => rfl | @node d B inst law positive label child ih => rcases p with ⟨b, p⟩ simpa [pathLabels] using congrArg Nat.succ (ih b p) section Labels variable [DecidableEq X] theorem label_subset_support {d : ℕ} {B : Type} [Fintype B] (law : FiniteLaw B) (positive : law.IsPositive) (label : B → Finset X) (child : B → ProbabilityTree X d) (b : B) : label b ⊆ (node B law positive label child).support := by intro x hx exact Finset.mem_biUnion.mpr ⟨b, Finset.mem_univ b, Finset.mem_union_left _ hx⟩ theorem child_support_subset {d : ℕ} {B : Type} [Fintype B] (law : FiniteLaw B) (positive : law.IsPositive) (label : B → Finset X) (child : B → ProbabilityTree X d) (b : B) : (child b).support ⊆ (node B law positive label child).support := by intro x hx exact Finset.mem_biUnion.mpr ⟨b, Finset.mem_univ b, Finset.mem_union_right _ hx⟩ theorem labels_support_subset {d : ℕ} {B : Type} [Fintype B] (law : FiniteLaw B) (positive : law.IsPositive) (label : B → Finset X) (child : B → ProbabilityTree X d) : (Finset.univ.biUnion label) ⊆ (node B law positive label child).support := by intro x hx obtain ⟨b, _, hxb⟩ := Finset.mem_biUnion.mp hx exact label_subset_support law positive label child b hxb theorem child_dependsOutside {d : ℕ} {B : Type} [Fintype B] {law : FiniteLaw B} {positive : law.IsPositive} {label : B → Finset X} {child : B → ProbabilityTree X d} (hT : (node B law positive label child).IsDisjoint) (b : B) {β : Type*} {f : Finset X → β} (hf : DependsOnlyOn (child b).support f) : DependsOutside (label b) f := hf.dependsOutside (hT.1 b) end Labels end ProbabilityTree end LeanBlast.SecondKahnKalai end end OAI