import OAI.Combinatorics.GraphThreshold.ProbabilityTreePaths namespace OAI /-! Deterministic removal of initial zero-capacity levels. -/ noncomputable section namespace LeanBlast.SecondKahnKalai.ProbabilityTree variable {X : Type} /-- Choose one child deterministically from the actual nonempty child law. -/ def firstChild : {d : ℕ} → ProbabilityTree X (d + 1) → ProbabilityTree X d | _, @node _ _ _ _ law _ _ child => child (Classical.choice (branch_nonempty law)) def firstLabel : {d : ℕ} → ProbabilityTree X (d + 1) → Finset X | _, @node _ _ _ _ law _ label _ => label (Classical.choice (branch_nonempty law)) /-- Prepend the chosen incoming arc to a path of the chosen child. -/ def prependChosen : {d : ℕ} → (T : ProbabilityTree X (d + 1)) → (firstChild T).Path → T.Path | _, @node _ _ _ _ law _ _ _, p => ⟨Classical.choice (branch_nonempty law), p⟩ /-- Remove `k` initial levels. The additive depth form avoids subtraction casts. -/ def drop : (k : ℕ) → {d : ℕ} → ProbabilityTree X (d + k) → ProbabilityTree X d | 0, _, T => T | k + 1, _, T => drop k (firstChild T) /-- Lift a retained path through the fixed choices on the removed prefix. -/ def liftDropPath : (k : ℕ) → {d : ℕ} → (T : ProbabilityTree X (d + k)) → (drop k T).Path → T.Path | 0, _, _, p => p | k + 1, _, T, p => prependChosen T (liftDropPath k (firstChild T) p) /-- Reindex a tree along equality of depths, without changing its data. -/ def castDepth {d e : ℕ} (h : d = e) (T : ProbabilityTree X d) : ProbabilityTree X e := h ▸ T def castPath {d e : ℕ} (h : d = e) (T : ProbabilityTree X d) : T.Path ≃ (castDepth h T).Path := by cases h exact Equiv.refl _ /-- Subtraction-indexed convenience wrapper for removing an initial prefix. -/ def dropPrefix {d : ℕ} (T : ProbabilityTree X d) (k : ℕ) (hk : k ≤ d) : ProbabilityTree X (d - k) := drop k (castDepth (Nat.sub_add_cancel hk).symm T) def liftDropPrefixPath {d : ℕ} (T : ProbabilityTree X d) (k : ℕ) (hk : k ≤ d) (p : (dropPrefix T k hk).Path) : T.Path := (castPath (Nat.sub_add_cancel hk).symm T).symm (liftDropPath k (castDepth (Nat.sub_add_cancel hk).symm T) p) section Properties variable [DecidableEq X] theorem pathUnion_prependChosen {d : ℕ} (T : ProbabilityTree X (d + 1)) (p : (firstChild T).Path) : T.pathUnion (prependChosen T p) = firstLabel T ∪ (firstChild T).pathUnion p := by cases T rfl theorem firstChild_support_subset {d : ℕ} (T : ProbabilityTree X (d + 1)) : (firstChild T).support ⊆ T.support := by cases T with | node B law positive label child => exact child_support_subset law positive label child _ theorem firstChild_isDisjoint {d : ℕ} {T : ProbabilityTree X (d + 1)} (hT : T.IsDisjoint) : (firstChild T).IsDisjoint := by cases T exact hT.2 _ omit [DecidableEq X] in theorem firstChild_hasCapacities {d : ℕ} {T : ProbabilityTree X (d + 1)} {m : ℕ → ℕ} (hT : T.HasCapacities m) : (firstChild T).HasCapacities (fun i => m (i + 1)) := by cases T exact hT.2 _ theorem firstChild_hasSpread {d : ℕ} {T : ProbabilityTree X (d + 1)} {a : ℕ → ℝ} (hT : T.HasSpread a) : (firstChild T).HasSpread (fun i => a (i + 1)) := by cases T exact hT.2 _ omit [DecidableEq X] in theorem firstLabel_card_le {d : ℕ} {T : ProbabilityTree X (d + 1)} {m : ℕ → ℕ} (hT : T.HasCapacities m) : (firstLabel T).card ≤ m 0 := by cases T exact hT.1 _ omit [DecidableEq X] in theorem firstLabel_eq_empty {d : ℕ} {T : ProbabilityTree X (d + 1)} {m : ℕ → ℕ} (hT : T.HasCapacities m) (hm : m 0 = 0) : firstLabel T = ∅ := by apply Finset.card_eq_zero.mp have h := firstLabel_card_le hT omega /-- Labels committed by the deterministic choices on the removed prefix. -/ def prefixUnion : (k : ℕ) → {d : ℕ} → ProbabilityTree X (d + k) → Finset X | 0, _, _ => ∅ | k + 1, _, T => firstLabel T ∪ prefixUnion k (firstChild T) theorem pathUnion_liftDropPath (k : ℕ) {d : ℕ} (T : ProbabilityTree X (d + k)) (p : (drop k T).Path) : T.pathUnion (liftDropPath k T p) = prefixUnion k T ∪ (drop k T).pathUnion p := by induction k generalizing d with | zero => simp [liftDropPath, prefixUnion, drop] | succ k ih => change T.pathUnion (prependChosen T (liftDropPath k T.firstChild p)) = (T.firstLabel ∪ prefixUnion k T.firstChild) ∪ (drop k T.firstChild).pathUnion p rw [pathUnion_prependChosen, ih T.firstChild p, Finset.union_assoc] theorem drop_support_subset (k : ℕ) {d : ℕ} (T : ProbabilityTree X (d + k)) : (drop k T).support ⊆ T.support := by induction k generalizing d with | zero => exact Finset.Subset.refl _ | succ k ih => exact (ih (firstChild T)).trans (firstChild_support_subset T) theorem drop_isDisjoint (k : ℕ) {d : ℕ} {T : ProbabilityTree X (d + k)} (hT : T.IsDisjoint) : (drop k T).IsDisjoint := by induction k generalizing d with | zero => exact hT | succ k ih => exact ih (firstChild_isDisjoint hT) omit [DecidableEq X] in theorem drop_hasCapacities (k : ℕ) {d : ℕ} {T : ProbabilityTree X (d + k)} {m : ℕ → ℕ} (hT : T.HasCapacities m) : (drop k T).HasCapacities (fun i => m (i + k)) := by induction k generalizing d m with | zero => simpa [drop] using hT | succ k ih => simpa [drop, Nat.add_assoc] using ih (firstChild_hasCapacities hT) theorem drop_hasSpread (k : ℕ) {d : ℕ} {T : ProbabilityTree X (d + k)} {a : ℕ → ℝ} (hT : T.HasSpread a) : (drop k T).HasSpread (fun i => a (i + k)) := by induction k generalizing d a with | zero => simpa [drop] using hT | succ k ih => simpa [drop, Nat.add_assoc] using ih (firstChild_hasSpread hT) theorem prefixUnion_eq_empty_of_capacities (k : ℕ) {d : ℕ} {T : ProbabilityTree X (d + k)} {m : ℕ → ℕ} (hT : T.HasCapacities m) (hm : ∀ i, i < k → m i = 0) : prefixUnion k T = ∅ := by induction k generalizing d m with | zero => rfl | succ k ih => rw [prefixUnion, firstLabel_eq_empty hT (hm 0 (by omega)), Finset.empty_union] exact ih (firstChild_hasCapacities hT) (fun i hi => hm (i + 1) (by omega)) /-- Removing zero-capacity levels preserves every retained full path union exactly. -/ theorem pathUnion_liftDropPath_eq (k : ℕ) {d : ℕ} {T : ProbabilityTree X (d + k)} {m : ℕ → ℕ} (hT : T.HasCapacities m) (hm : ∀ i, i < k → m i = 0) (p : (drop k T).Path) : T.pathUnion (liftDropPath k T p) = (drop k T).pathUnion p := by rw [pathUnion_liftDropPath, prefixUnion_eq_empty_of_capacities k hT hm, Finset.empty_union] @[simp] theorem support_castDepth {d e : ℕ} (h : d = e) (T : ProbabilityTree X d) : (castDepth h T).support = T.support := by cases h; rfl @[simp] theorem isDisjoint_castDepth {d e : ℕ} (h : d = e) (T : ProbabilityTree X d) : (castDepth h T).IsDisjoint ↔ T.IsDisjoint := by cases h; rfl omit [DecidableEq X] in @[simp] theorem hasCapacities_castDepth {d e : ℕ} (h : d = e) (T : ProbabilityTree X d) (m : ℕ → ℕ) : (castDepth h T).HasCapacities m ↔ T.HasCapacities m := by cases h; rfl @[simp] theorem hasSpread_castDepth {d e : ℕ} (h : d = e) (T : ProbabilityTree X d) (a : ℕ → ℝ) : (castDepth h T).HasSpread a ↔ T.HasSpread a := by cases h; rfl theorem pathUnion_castPath_symm {d e : ℕ} (h : d = e) (T : ProbabilityTree X d) (p : (castDepth h T).Path) : T.pathUnion ((castPath h T).symm p) = (castDepth h T).pathUnion p := by cases h; rfl theorem dropPrefix_support_subset {d : ℕ} (T : ProbabilityTree X d) (k : ℕ) (hk : k ≤ d) : (dropPrefix T k hk).support ⊆ T.support := by simpa only [dropPrefix, support_castDepth] using drop_support_subset k (castDepth (Nat.sub_add_cancel hk).symm T) theorem dropPrefix_isDisjoint {d : ℕ} {T : ProbabilityTree X d} (hT : T.IsDisjoint) (k : ℕ) (hk : k ≤ d) : (dropPrefix T k hk).IsDisjoint := by apply drop_isDisjoint simpa using hT omit [DecidableEq X] in theorem dropPrefix_hasCapacities {d : ℕ} {T : ProbabilityTree X d} {m : ℕ → ℕ} (hT : T.HasCapacities m) (k : ℕ) (hk : k ≤ d) : (dropPrefix T k hk).HasCapacities (fun i => m (i + k)) := by apply drop_hasCapacities simpa using hT theorem dropPrefix_hasSpread {d : ℕ} {T : ProbabilityTree X d} {a : ℕ → ℝ} (hT : T.HasSpread a) (k : ℕ) (hk : k ≤ d) : (dropPrefix T k hk).HasSpread (fun i => a (i + k)) := by apply drop_hasSpread simpa using hT /-- Every path after zero-prefix trimming is an original full path with exactly the same union. -/ theorem pathUnion_liftDropPrefixPath_eq {d : ℕ} {T : ProbabilityTree X d} {m : ℕ → ℕ} (hT : T.HasCapacities m) (k : ℕ) (hk : k ≤ d) (hm : ∀ i, i < k → m i = 0) (p : (dropPrefix T k hk).Path) : T.pathUnion (liftDropPrefixPath T k hk p) = (dropPrefix T k hk).pathUnion p := by unfold liftDropPrefixPath rw [pathUnion_castPath_symm] apply pathUnion_liftDropPath_eq k _ hm simpa using hT theorem coveredBy_of_dropPrefix {d : ℕ} {T : ProbabilityTree X d} {m : ℕ → ℕ} (hT : T.HasCapacities m) (k : ℕ) (hk : k ≤ d) (hm : ∀ i, i < k → m i = 0) {W : Finset X} (hW : (dropPrefix T k hk).CoveredBy W) : T.CoveredBy W := by obtain ⟨p, hp⟩ := hW refine ⟨liftDropPrefixPath T k hk p, ?_⟩ rwa [pathUnion_liftDropPrefixPath_eq hT k hk hm p] end Properties end LeanBlast.SecondKahnKalai.ProbabilityTree end end OAI