import OAI.Probability.CubeShuffle.ButterflyCycles namespace OAI namespace CubeShuffle open scoped BigOperators open Filter /-- A finite fair routing network certified by its actual test algorithms and path/meeting geometry. The fields are local routing facts, not probability or mixing assumptions. Below they are constructed for parallel butterflies. -/ structure RoutingNetwork (α ι : Type*) [Fintype α] [DecidableEq α] [Fintype ι] [DecidableEq ι] (d : ℕ) where perm : (ι → Bool) → Equiv.Perm α path : (ι → Bool) → α → Finset ι users : (ι → Bool) → ι → α × α users_ne : ∀ ω i, (users ω i).1 ≠ (users ω i).2 mem_path : ∀ ω x i, i ∈ path ω x ↔ (users ω i).1 = x ∨ (users ω i).2 = x card_path : ∀ ω x, (path ω x).card = d entropy : ∀ ω (S : Finset α), (∑ i : ι, if (users ω i).1 ∈ S ∧ (users ω i).2 ∈ S then (1:ℝ) else 0) ≤ (S.card : ℝ) * Real.log S.card / (2 * Real.log 2) follow : α → (α → QueryTree ι) → QueryTree ι close : α → α → QueryTree ι → QueryTree ι follow_succeeds : ∀ x k ω, (follow x k).succeeds ω = (k (perm ω x)).succeeds ω follow_raw_charge : ∀ x k ω, (follow x k).charge ω = (k (perm ω x)).charge ω follow_stale_charge : ∀ x k R ω, (follow x k).staleCharge R ω = (k (perm ω x)).staleCharge (R ∪ path ω x) ω close_succeeds : ∀ x y k ω, (close x y k).succeeds ω = if perm ω x = y then k.succeeds ω else false close_raw_charge : ∀ x y k ω, perm ω x = y → (close x y k).charge ω = k.charge ω + d close_stale_charge : ∀ x y k R ω, perm ω x = y → (close x y k).staleCharge R ω = k.staleCharge (R ∪ path ω x) ω + (path ω x ∩ R).card namespace RoutingNetwork variable {α ι : Type*} [Fintype α] [DecidableEq α] [Fintype ι] [DecidableEq ι] {d : ℕ} (R : RoutingNetwork α ι d) lemma card_switches_using (ω : ι → Bool) (x : α) : (Finset.univ.filter (fun i : ι => (R.users ω i).1 = x ∨ (R.users ω i).2 = x)).card = d := by classical have he : Finset.univ.filter (fun i : ι => (R.users ω i).1 = x ∨ (R.users ω i).2 = x) = R.path ω x := by ext i simp only [Finset.mem_filter,Finset.mem_univ,true_and,R.mem_path] rw [he,R.card_path] lemma switch_incidence_sum (b : ι → Bool) (w : α → ℝ) : ∑ i : ι, (w (R.users b i).1 + w (R.users b i).2) = (d : ℝ) * ∑ x : α, w x := by classical calc _ = ∑ i : ι, ∑ x : α, if (R.users b i).1 = x ∨ (R.users b i).2 = x then w x else 0 := by apply Finset.sum_congr rfl intro i _ rw [Finset.sum_ite] simp only [Finset.sum_const_zero, add_zero] have he : Finset.univ.filter (fun x : α => (R.users b i).1 = x ∨ (R.users b i).2 = x) = {(R.users b i).1, (R.users b i).2} := by ext x; simp [eq_comm] rw [he, Finset.sum_pair (R.users_ne b i)] _ = ∑ x : α, ∑ i : ι, if (R.users b i).1 = x ∨ (R.users b i).2 = x then w x else 0 := Finset.sum_comm _ = ∑ x : α, (d : ℝ) * w x := by apply Finset.sum_congr rfl intro x _ rw [Finset.sum_ite] simp only [Finset.sum_const_zero, add_zero, Finset.sum_const, nsmul_eq_mul, card_switches_using] _ = _ := by rw [Finset.mul_sum] /-- The weighted threshold estimate in the rotation argument. It applies to any weights and so in particular to `1/j` on selected length-j cycles. -/ lemma weighted_switch_min_bound (b : ι → Bool) (w : α → ℝ) : ∑ i : ι, min (w (R.users b i).1) (w (R.users b i).2) ≤ (d : ℝ) / 2 * ∑ x : α, w x := by have h : 2 * (∑ i : ι, min (w (R.users b i).1) (w (R.users b i).2)) ≤ ∑ i : ι, (w (R.users b i).1 + w (R.users b i).2) := by rw [Finset.mul_sum] apply Finset.sum_le_sum intro i _ linarith [min_le_left (w (R.users b i).1) (w (R.users b i).2), min_le_right (w (R.users b i).1) (w (R.users b i).2)] rw [switch_incidence_sum] at h linarith section Rotation variable {A : ℕ} /-- Ownership by distinguishable cycle slots; `none` means unselected. -/ def cycleFiber (o : α → Option (Fin A)) (i : Fin A) : Finset (α) := by classical exact Finset.univ.filter (fun x => o x = some i) omit [DecidableEq α] in @[simp] lemma mem_cycleFiber (o : α → Option (Fin A)) (i : Fin A) (x : α) : x ∈ cycleFiber o i ↔ o x = some i := by classical simp [cycleFiber] abbrev Terminal (o : α → Option (Fin A)) := ∀ i : Fin A, {x : α // o x = some i} noncomputable def slotWeight (o : α → Option (Fin A)) (i : Fin A) : ℝ := 1 / (cycleFiber o i).card noncomputable def pathWeight (o : α → Option (Fin A)) (x : α) : ℝ := match o x with | none => 0 | some i => slotWeight o i noncomputable def withinWeight (o : α → Option (Fin A)) (u v : α) : ℝ := match o u, o v with | some i, some j => if i = j then slotWeight o i else 0 | _, _ => 0 /-- Charge at a meeting after independently rotating the selected cycles. A later slot is the only possible closer, except within a single cycle where either user can be its terminal. -/ noncomputable def rotationMeeting (o : α → Option (Fin A)) (z : Terminal o) (u v : α) : ℝ := match o u, o v with | some i, some j => if i < j then (if (z j).val = v then 1 else 0) else if j < i then (if (z i).val = u then 1 else 0) else (if (z i).val = u then 1 else 0) + (if (z i).val = v then 1 else 0) | _, _ => 0 omit [DecidableEq α] in lemma card_cycleFiber (o : α → Option (Fin A)) (i : Fin A) : Fintype.card {x : α // o x = some i} = (cycleFiber o i).card := by classical simp [cycleFiber,Fintype.card_subtype] lemma terminal_mean {o : α → Option (Fin A)} [∀ i : Fin A, Nonempty {x : α // o x = some i}] (i : Fin A) (x : α) (hx : o x = some i) : finiteMean (fun z : Terminal o => if (z i).val = x then (1:ℝ) else 0) = slotWeight o i := by classical have hev := finiteMean_pi_eval (A := fun i : Fin A => {x : α // o x = some i}) i (fun z => if z.val = x then (1:ℝ) else 0) rw [hev] have he : (fun z : {x : α // o x = some i} => if z.val = x then (1:ℝ) else 0) = (fun z => if z = ⟨x,hx⟩ then 1 else 0) := by funext z simp only [Subtype.ext_iff] rw [he,finiteMean_eq_indicator,card_cycleFiber,slotWeight] omit [DecidableEq α] in lemma slotWeight_antitone (o : α → Option (Fin A)) (hn : ∀ i, (cycleFiber o i).Nonempty) (hm : Monotone (fun i => (cycleFiber o i).card)) : Antitone (slotWeight o) := by intro i j hij unfold slotWeight apply one_div_le_one_div_of_le · exact_mod_cast Finset.card_pos.mpr (hn i) · exact_mod_cast hm hij lemma rotationMeeting_mean {o : α → Option (Fin A)} [∀ i : Fin A, Nonempty {x : α // o x = some i}] (hm : Monotone (fun i => (cycleFiber o i).card)) (u v : α) : finiteMean (fun z : Terminal o => rotationMeeting o z u v) = min (pathWeight o u) (pathWeight o v) + withinWeight o u v := by classical have hn : ∀ i, (cycleFiber o i).Nonempty := by intro i obtain ⟨x,hx⟩ := (inferInstance : Nonempty {x : α // o x = some i}) exact ⟨x,mem_cycleFiber _ _ _ |>.mpr hx⟩ have hw := slotWeight_antitone o hn hm cases hu : o u with | none => cases hv : o v with | none => simp [rotationMeeting,pathWeight,withinWeight,hu,hv,finiteMean] | some j => have hj : 0 ≤ slotWeight o j := by unfold slotWeight; positivity simp [rotationMeeting,pathWeight,withinWeight,hu,hv,finiteMean,min_eq_left hj] | some i => cases hv : o v with | none => have hi : 0 ≤ slotWeight o i := by unfold slotWeight; positivity simp [rotationMeeting,pathWeight,withinWeight,hu,hv,finiteMean,min_eq_right hi] | some j => simp only [rotationMeeting,pathWeight,withinWeight,hu,hv] rcases lt_trichotomy i j with hij | rfl | hji · simp only [hij,↓reduceIte,ne_of_lt hij] rw [terminal_mean j v hv,min_eq_right (hw (le_of_lt hij)),add_zero] · simp only [lt_self_iff_false,↓reduceIte,min_self] rw [finiteMean_add,terminal_mean i u hu,terminal_mean i v hv] · simp only [not_lt_of_ge (le_of_lt hji),hji,↓reduceIte,ne_of_gt hji] rw [terminal_mean i u hu,min_eq_left (hw (le_of_lt hji)),add_zero] omit [DecidableEq α] in lemma pathWeight_sum (o : α → Option (Fin A)) (hn : ∀ i, (cycleFiber o i).Nonempty) : ∑ x : α, pathWeight o x = (A : ℝ) := by classical have he (x : α) : pathWeight o x = ∑ i : Fin A, if o x = some i then slotWeight o i else 0 := by cases hx : o x with | none => simp [pathWeight,hx] | some j => simp [pathWeight,hx] simp only [he] rw [Finset.sum_comm] have hf (i : Fin A) : (∑ x : α, if o x = some i then slotWeight o i else 0) = 1 := by rw [← Finset.sum_filter] change (∑ _x ∈ cycleFiber o i, slotWeight o i) = 1 simp only [Finset.sum_const,nsmul_eq_mul,slotWeight] exact mul_one_div_cancel (by exact_mod_cast (Finset.card_pos.mpr (hn i)).ne') simp only [hf,Finset.sum_const,Finset.card_univ,Fintype.card_fin,nsmul_eq_mul,mul_one] lemma withinWeight_sum_bound (o : α → Option (Fin A)) (hn : ∀ i, (cycleFiber o i).Nonempty) (b : ι → Bool) : (∑ s : ι, withinWeight o (R.users b s).1 (R.users b s).2) ≤ ∑ i : Fin A, Real.log (cycleFiber o i).card / (2 * Real.log 2) := by classical have he (u v : α) : withinWeight o u v = ∑ i : Fin A, (if u ∈ cycleFiber o i ∧ v ∈ cycleFiber o i then (1:ℝ) else 0) * slotWeight o i := by simp only [mem_cycleFiber] cases hu : o u <;> cases hv : o v <;> simp [withinWeight,hu,hv,ite_and,eq_comm] simp only [he] rw [Finset.sum_comm] apply Finset.sum_le_sum intro i _ rw [← Finset.sum_mul] have hi := R.entropy b (cycleFiber o i) have hpos : (0:ℝ) < (cycleFiber o i).card := by exact_mod_cast Finset.card_pos.mpr (hn i) have hmul := mul_le_mul_of_nonneg_right hi (show 0 ≤ slotWeight o i by unfold slotWeight; positivity) calc _ ≤ ((cycleFiber o i).card : ℝ) * Real.log (cycleFiber o i).card / (2 * Real.log 2) * slotWeight o i := hmul _ = _ := by unfold slotWeight; field_simp noncomputable def rotationCharge (o : α → Option (Fin A)) (b : ι → Bool) (z : Terminal o) : ℝ := ∑ s : ι, rotationMeeting o z (R.users b s).1 (R.users b s).2 lemma rotationCharge_mean_bound {o : α → Option (Fin A)} [∀ i : Fin A, Nonempty {x : α // o x = some i}] (hm : Monotone (fun i => (cycleFiber o i).card)) (b : ι → Bool) : finiteMean (rotationCharge R o b) ≤ (A:ℝ) * d / 2 + ∑ i : Fin A, Real.log (cycleFiber o i).card / (2 * Real.log 2) := by classical have hn : ∀ i, (cycleFiber o i).Nonempty := by intro i obtain ⟨x,hx⟩ := (inferInstance : Nonempty {x : α // o x = some i}) exact ⟨x,mem_cycleFiber _ _ _ |>.mpr hx⟩ unfold rotationCharge rw [finiteMean_sum] simp only [rotationMeeting_mean hm,Finset.sum_add_distrib] have h₁ := weighted_switch_min_bound R b (pathWeight o) rw [pathWeight_sum o hn] at h₁ have h₂ := withinWeight_sum_bound R o hn b linarith /-- The Jensen rotation bound, still expressed in exponentials so that all normalizing constants and the factor one half are explicit. -/ lemma rotation_exp_bound {o : α → Option (Fin A)} [∀ i : Fin A, Nonempty {x : α // o x = some i}] (hm : Monotone (fun i => (cycleFiber o i).card)) (b : ι → Bool) : Real.exp (-Real.log 2 * ((A:ℝ)*d/2 + ∑ i : Fin A, Real.log (cycleFiber o i).card / (2 * Real.log 2))) ≤ finiteMean (fun z : Terminal o => Real.exp (-Real.log 2 * rotationCharge R o b z)) := by have hb := rotationCharge_mean_bound R hm b have hlog : 0 ≤ Real.log 2 := Real.log_nonneg (by norm_num) have hm' : -Real.log 2 * ((A:ℝ)*d/2 + ∑ i : Fin A, Real.log (cycleFiber o i).card / (2 * Real.log 2)) ≤ finiteMean (fun z : Terminal o => -Real.log 2 * rotationCharge R o b z) := by have he := finiteMean_mul_const (rotationCharge R o b) (-Real.log 2) simp only [mul_comm] at he rw [he] exact mul_le_mul_of_nonpos_left hb (neg_nonpos.mpr hlog) exact (Real.exp_le_exp.mpr hm').trans (exp_finiteMean_le _) end Rotation namespace QueryTree open CubeShuffle.QueryTree /-- Inspect one proposed length-(r+1) cycle. Every queried input must be in S and must not have appeared in an earlier slot or earlier in this cycle. -/ noncomputable def seekCycle (R : RoutingNetwork α ι d) (S : Finset (α)) (a : α) : ℕ → α → Finset (α) → (Finset (α) → QueryTree (ι)) → QueryTree (ι) | 0, x, V, k => if x ∈ S ∧ x ∉ V then R.close x a (k (insert x V)) else reject | r + 1, x, V, k => if x ∈ S ∧ x ∉ V then R.follow x (fun y => seekCycle R S a r y (insert x V) k) else reject lemma seekCycle_raw_charge (S : Finset (α)) (a : α) (r : ℕ) (x : α) (V : Finset (α)) (k : Finset (α) → QueryTree (ι)) (ω : ι → Bool) (K : ℕ) (hK : ∀ V, (k V).succeeds ω = true → (k V).charge ω = K) (hs : (seekCycle R S a r x V k).succeeds ω = true) : (seekCycle R S a r x V k).charge ω = K + d := by induction r generalizing x V with | zero => by_cases hv : x ∈ S ∧ x ∉ V · rw [seekCycle,ite_eq_left hv,R.close_succeeds] at hs split_ifs at hs with he · rw [seekCycle,ite_eq_left hv,R.close_raw_charge _ _ _ _ he,hK _ hs] · simp [seekCycle,hv,CubeShuffle.QueryTree.succeeds] at hs | succ r ih => by_cases hv : x ∈ S ∧ x ∉ V · rw [seekCycle,ite_eq_left hv,R.follow_succeeds] at hs rw [seekCycle,ite_eq_left hv,R.follow_raw_charge] exact ih _ _ hs · simp [seekCycle,hv,CubeShuffle.QueryTree.succeeds] at hs /-- Distinguishable cycle slots, with each requested length encoded as r+1. Later factorial-moment counting divides by precisely these rotation counts. -/ noncomputable def seekCycles (R : RoutingNetwork α ι d) (S : Finset (α)) : List (α × ℕ) → Finset (α) → QueryTree (ι) | [], _ => accept | (a,r) :: L, V => seekCycle R S a r a V (fun V => seekCycles R S L V) lemma seekCycles_raw_charge (S : Finset (α)) (L : List (α × ℕ)) (V : Finset (α)) (ω : ι → Bool) (hs : (seekCycles R S L V).succeeds ω = true) : (seekCycles R S L V).charge ω = L.length * d := by induction L generalizing V with | nil => simp [seekCycles,charge] | cons ar L ih => obtain ⟨a,r⟩ := ar rw [seekCycles] rw [seekCycle_raw_charge R S a r a V (fun V => seekCycles R S L V) ω (L.length*d) (fun V hs => ih V hs) hs] simp [Nat.add_mul] /-- The actual fixed-start weighted exploration inequality in FAC.3. The stale charge counts exposed closing-path switches exactly, not a postulated conditional-independence bound. Failure includes repeats, short cycles and visiting outside the marked subset, and can occur at ANY earlier query. -/ lemma cycles_weighted_success (S : Finset (α)) (L : List (α × ℕ)) : finiteMean (fun ω : ι → Bool => if (seekCycles R S L ∅).succeeds ω then ((2:ℝ)^d)^L.length / (2:ℝ)^(seekCycles R S L ∅).staleCharge ∅ ω else 0) ≤ 1 := by let T := seekCycles R S L ∅ have hh := mean_freshCharge_le_one T have he : finiteMean (fun ω : ι → Bool => if T.succeeds ω then (2:ℝ)^T.freshCharge ∅ ω else 0) = finiteMean (fun ω : ι → Bool => if T.succeeds ω then ((2:ℝ)^d)^L.length / (2:ℝ)^T.staleCharge ∅ ω else 0) := by apply finiteMean_congr intro ω cases hs : T.succeeds ω · simp · simp only [↓reduceIte] have hc := fresh_add_stale T ∅ ω rw [seekCycles_raw_charge R S L ∅ ω hs] at hc have hp : ((2:ℝ)^d)^L.length = (2:ℝ)^T.freshCharge ∅ ω * (2:ℝ)^T.staleCharge ∅ ω := by rw [←pow_add,hc,←pow_mul,Nat.mul_comm] rw [hp,mul_div_cancel_right₀ _ (pow_ne_zero _ (by norm_num))] rw [← he] exact hh end QueryTree noncomputable def exposedPaths (b : ι → Bool) (V : Finset (α)) : Finset (ι) := V.biUnion (fun x => R.path b x) @[simp] lemma exposedPaths_empty (b : ι → Bool) : exposedPaths R b ∅ = ∅ := by classical simp [exposedPaths] lemma exposedPaths_insert (b : ι → Bool) (V : Finset (α)) (x : α) : exposedPaths R b (insert x V) = exposedPaths R b V ∪ R.path b x := by classical simp [exposedPaths,Finset.union_comm] noncomputable def terminalCharge (b : ι → Bool) (z : α) (V : Finset (α)) : ℕ := (R.path b z ∩ exposedPaths R b V).card namespace QueryTree open CubeShuffle.QueryTree /-- The cycle-query certificate has exactly its deterministic cycle-trace semantics, including the complete exposure record and terminal encounter charge. -/ lemma seekCycle_semantics (S : Finset (α)) (a : α) (r : ℕ) (x : α) (V W : Finset (α)) (z : α) (k : Finset (α) → QueryTree (ι)) (ω : ι → Bool) (h : cycleTrace (R.perm ω) S a r x V = some (W,z)) : (seekCycle R S a r x V k).succeeds ω = (k W).succeeds ω ∧ (seekCycle R S a r x V k).staleCharge (exposedPaths R (ω) V) ω = (k W).staleCharge (exposedPaths R (ω) W) ω + terminalCharge R (ω) z (W.erase z) := by classical induction r generalizing x V with | zero => simp only [cycleTrace] at h split_ifs at h with hv obtain ⟨hxS,hxV,hxa⟩ := hv obtain ⟨rfl,rfl⟩ := Prod.mk.inj (Option.some.inj h) simp only [seekCycle,ite_eq_left (show x ∈ S ∧ x ∉ V from ⟨hxS,hxV⟩),R.close_succeeds,ite_eq_left hxa] constructor · trivial · rw [R.close_stale_charge _ _ _ _ _ hxa,exposedPaths_insert, Finset.erase_insert hxV] simp only [terminalCharge] | succ r ih => simp only [cycleTrace] at h split_ifs at h with hv obtain ⟨hxS,hxV⟩ := hv rw [seekCycle,ite_eq_left ⟨hxS,hxV⟩,R.follow_succeeds,R.follow_stale_charge] rw [← exposedPaths_insert] exact ih _ _ h lemma seekCycle_orbit (S V : Finset (α)) (z : α) (k : Finset (α) → QueryTree (ι)) (ω : ι → Bool) (hS : orbitSet (R.perm ω) z ⊆ S) (hV : Disjoint V (orbitSet (R.perm ω) z)) : let p := R.perm ω let W := V ∪ orbitSet p z (seekCycle R S (p z) (Function.minimalPeriod p z-1) (p z) V k).succeeds ω = (k W).succeeds ω ∧ (seekCycle R S (p z) (Function.minimalPeriod p z-1) (p z) V k).staleCharge (exposedPaths R (ω) V) ω = (k W).staleCharge (exposedPaths R (ω) W) ω + terminalCharge R (ω) z (W.erase z) := by exact seekCycle_semantics _ _ _ _ _ _ _ _ _ _ (cycleTrace_orbit _ _ _ _ hS hV) end QueryTree lemma mem_exposedPaths (b : ι → Bool) (V : Finset (α)) (s : ι) : s ∈ exposedPaths R b V ↔ (R.users b s).1 ∈ V ∨ (R.users b s).2 ∈ V := by classical simp only [exposedPaths,Finset.mem_biUnion,R.mem_path] constructor · rintro ⟨x,hx,h | h⟩ · exact Or.inl (h ▸ hx) · exact Or.inr (h ▸ hx) · rintro (h | h) · exact ⟨_,h,Or.inl rfl⟩ · exact ⟨_,h,Or.inr rfl⟩ lemma terminalCharge_sum (b : ι → Bool) (z : α) (V : Finset (α)) (hz : z ∉ V) : (terminalCharge R b z V : ℝ) = ∑ s : ι, ((if (R.users b s).1 = z ∧ (R.users b s).2 ∈ V then (1:ℝ) else 0) + (if (R.users b s).2 = z ∧ (R.users b s).1 ∈ V then (1:ℝ) else 0)) := by classical have he : R.path b z ∩ exposedPaths R b V = Finset.univ.filter (fun s => ((R.users b s).1 = z ∧ (R.users b s).2 ∈ V) ∨ ((R.users b s).2 = z ∧ (R.users b s).1 ∈ V)) := by ext s simp only [Finset.mem_inter,R.mem_path,mem_exposedPaths, Finset.mem_filter,Finset.mem_univ,true_and] by_cases h₁ : (R.users b s).1 = z <;> by_cases h₂ : (R.users b s).2 = z <;> simp [h₁,h₂,hz] rw [terminalCharge,he] simp only [← Finset.sum_boole] apply Finset.sum_congr rfl intro s _ by_cases h₁ : (R.users b s).1 = z <;> by_cases h₂ : (R.users b s).2 = z <;> simp [h₁,h₂,hz] /-- All slots before time t, including the whole current cycle when t=i+1. -/ noncomputable def priorPaths {A : ℕ} (o : α → Option (Fin A)) (t : ℕ) : Finset (α) := Finset.univ.filter (fun x => ∃ i : Fin A, o x = some i ∧ i.val < t) omit [DecidableEq α] in @[simp] lemma mem_priorPaths {A : ℕ} (o : α → Option (Fin A)) (t : ℕ) (x : α) : x ∈ priorPaths o t ↔ ∃ i : Fin A, o x = some i ∧ i.val < t := by classical simp [priorPaths] lemma terminalCharge_prior_sum {A : ℕ} (o : α → Option (Fin A)) (b : ι → Bool) (z : Terminal o) (i : Fin A) : (terminalCharge R b (z i).val ((priorPaths o (i.val+1)).erase (z i).val) : ℝ) = ∑ s : ι, ((if (z i).val = (R.users b s).1 ∧ (R.users b s).2 ∈ priorPaths o (i.val+1) then (1:ℝ) else 0) + (if (z i).val = (R.users b s).2 ∧ (R.users b s).1 ∈ priorPaths o (i.val+1) then (1:ℝ) else 0)) := by classical rw [terminalCharge_sum _ _ _ _ (Finset.notMem_erase _ _)] apply Finset.sum_congr rfl intro s _ have hn := R.users_ne b s simp only [Finset.mem_erase] by_cases h₁ : (z i).val = (R.users b s).1 <;> by_cases h₂ : (z i).val = (R.users b s).2 <;> simp_all [eq_comm] lemma rotationMeeting_eq_slot_sum {A : ℕ} (o : α → Option (Fin A)) (z : Terminal o) (u v : α) : rotationMeeting o z u v = ∑ i : Fin A, ((if (z i).val = u ∧ v ∈ priorPaths o (i.val+1) then (1:ℝ) else 0) + (if (z i).val = v ∧ u ∈ priorPaths o (i.val+1) then (1:ℝ) else 0)) := by classical have only_owner (u : α) (a : Fin A) (hou : o u = some a) (i : Fin A) (hia : i ≠ a) : (z i).val ≠ u := by intro h have hi := (z i).property rw [h,hou] at hi exact hia (Option.some.inj hi).symm have sum_one (u v : α) (a : Fin A) (hou : o u = some a) : (∑ i : Fin A, if (z i).val = u ∧ v ∈ priorPaths o (i.val+1) then (1:ℝ) else 0) = if (z a).val = u ∧ v ∈ priorPaths o (a.val+1) then 1 else 0 := by apply Finset.sum_eq_single a · intro i _ hia simp [only_owner u a hou i hia] · simp have sum_none (u v : α) (hou : o u = none) : (∑ i : Fin A, if (z i).val = u ∧ v ∈ priorPaths o (i.val+1) then (1:ℝ) else 0) = 0 := by apply Finset.sum_eq_zero intro i _ have hn : (z i).val ≠ u := by intro h have hi := (z i).property rw [h,hou] at hi contradiction simp [hn] rw [Finset.sum_add_distrib] cases hou : o u with | none => rw [sum_none u v hou] simp [rotationMeeting,hou,mem_priorPaths] | some a => rw [sum_one u v a hou] cases hov : o v with | none => rw [sum_none v u hov] simp [rotationMeeting,hou,hov,mem_priorPaths] | some b => rw [sum_one v u b hov] simp only [rotationMeeting,hou,hov,mem_priorPaths,Option.some.injEq] rcases lt_trichotomy a b with hab | rfl | hba · have hn : ¬ b.val < a.val+1 := by omega have hy : a.val < b.val+1 := by omega simp [hab,hn,hy] · simp · have hn : ¬ a.val < b.val+1 := by omega have hy : b.val < a.val+1 := by omega simp [hba,not_lt_of_ge (le_of_lt hba),hn,hy] /-- The geometric rotation charge equals the actual sum of exposed terminal route meetings, with exactly the earlier slots and own cycle made available. -/ lemma rotationCharge_eq_terminal_sum {A : ℕ} (o : α → Option (Fin A)) (b : ι → Bool) (z : Terminal o) : rotationCharge R o b z = ∑ i : Fin A, (terminalCharge R b (z i).val ((priorPaths o (i.val+1)).erase (z i).val) : ℝ) := by simp only [rotationCharge,rotationMeeting_eq_slot_sum,terminalCharge_prior_sum] exact Finset.sum_comm omit [DecidableEq α] in @[simp] lemma priorPaths_zero {A : ℕ} (o : α → Option (Fin A)) : priorPaths o 0 = ∅ := by classical ext x simp lemma priorPaths_succ {A : ℕ} (o : α → Option (Fin A)) (t : ℕ) (ht : t < A) : priorPaths o (t+1) = priorPaths o t ∪ cycleFiber o ⟨t,ht⟩ := by classical ext x simp only [mem_priorPaths,Finset.mem_union,mem_cycleFiber] constructor · rintro ⟨i,hi,hit⟩ by_cases h : i.val < t · exact Or.inl ⟨i,hi,h⟩ · have he : i = ⟨t,ht⟩ := Fin.ext (by change i.val = t; omega) exact Or.inr (he ▸ hi) · rintro (⟨i,hi,hit⟩ | hi) · exact ⟨i,hi,by omega⟩ · exact ⟨⟨t,ht⟩,hi,by change t < t+1; omega⟩ omit [DecidableEq α] in lemma priorPaths_disjoint {A : ℕ} (o : α → Option (Fin A)) (i : Fin A) : Disjoint (priorPaths o i.val) (cycleFiber o i) := by classical apply Finset.disjoint_left.mpr intro x hx hx' obtain ⟨j,hj,hji⟩ := (mem_priorPaths _ _ _).mp hx have he : j = i := Option.some.inj (hj.symm.trans ((mem_cycleFiber _ _ _).mp hx')) subst j exact (lt_irrefl _ hji) namespace QueryTree open CubeShuffle.QueryTree /-- Success and exact exposed-switch charge for a realized, disjoint collection of full permutation cycles in ordered distinguishable slots. -/ lemma seekCycles_owned {A : ℕ} (S : Finset (α)) (r : Fin A → ℕ) (o : α → Option (Fin A)) (z : Terminal o) (ω : ι → Bool) (hS : ∀ i, cycleFiber o i ⊆ S) (hO : ∀ i, orbitSet (R.perm ω) (z i).val = cycleFiber o i) (hC : ∀ i, (cycleFiber o i).card = r i+1) : let p := R.perm ω let L := List.ofFn (fun i : Fin A => (p (z i).val,r i)) (seekCycles R S L ∅).succeeds ω = true ∧ ((seekCycles R S L ∅).staleCharge ∅ ω : ℝ) = rotationCharge R o (ω) z := by classical let b := ω let p := R.perm b let f (i : Fin A) := (p (z i).val,r i) let c (i : Fin A) : ℝ := terminalCharge R b (z i).val ((priorPaths o (i.val+1)).erase (z i).val) have hc (i : Fin A) : Function.minimalPeriod p (z i).val - 1 = r i := by have he := orbitSet_card p (z i).val rw [hO,hC] at he omega have hs (t : ℕ) (ht : t ≤ A) : (seekCycles R S ((List.ofFn f).drop t) (priorPaths o t)).succeeds ω = true ∧ ((seekCycles R S ((List.ofFn f).drop t) (priorPaths o t)).staleCharge (exposedPaths R b (priorPaths o t)) ω : ℝ) = ((List.ofFn c).drop t).sum := by induction ht using Nat.decreasingInduction with | self => simp only [List.length_ofFn,le_refl,List.drop_eq_nil_of_le,List.sum_nil,seekCycles,CubeShuffle.QueryTree.succeeds,staleCharge,Nat.cast_zero,and_self] | of_succ t ht ih => have htf : t < (List.ofFn f).length := by simpa using ht have htc : t < (List.ofFn c).length := by simpa using ht rw [List.drop_eq_getElem_cons htf,List.drop_eq_getElem_cons htc] simp only [List.getElem_ofFn,List.sum_cons,seekCycles] have h := seekCycle_orbit R S (priorPaths o t) (z ⟨t,ht⟩).val (fun V => seekCycles R S ((List.ofFn f).drop (t+1)) V) ω (by rw [hO]; exact hS _) (by rw [hO]; exact priorPaths_disjoint o ⟨t,ht⟩) dsimp only at h rw [hc,hO,←priorPaths_succ o t ht] at h dsimp only [f] constructor · exact h.1.trans ih.1 · rw [h.2,Nat.cast_add,ih.2] exact add_comm _ _ have h := hs 0 (Nat.zero_le _) simp only [List.drop_zero,priorPaths_zero,exposedPaths_empty,List.sum_ofFn] at h dsimp only exact ⟨h.1,h.2.trans (rotationCharge_eq_terminal_sum R o b z).symm⟩ end QueryTree section Collections variable {A : ℕ} /-- A permutation-cycle collection in distinguishable slots, including all length-one cycles. No selection has been weakened to a collection of paths. -/ def ValidCycleSlots (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) (o : α → Option (Fin A)) : Prop := (∀ i, (cycleFiber o i).card = r i + 1) ∧ (∀ i, cycleFiber o i ⊆ S) ∧ (∀ i x, o x = some i → orbitSet p x = cycleFiber o i) abbrev CycleSlots (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) := {o : α → Option (Fin A) // ValidCycleSlots p S r o} noncomputable instance (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) : Fintype (CycleSlots p S r) := Fintype.ofFinite _ lemma CycleSlots.terminal_nonempty {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (c : CycleSlots p S r) (i : Fin A) : Nonempty {x : α // c.val x = some i} := by have hn : (cycleFiber c.val i).Nonempty := Finset.card_pos.mp (by rw [c.property.1]; omega) obtain ⟨x,hx⟩ := hn exact ⟨x,(mem_cycleFiber _ _ _).mp hx⟩ omit [DecidableEq α] in lemma owner_ext {o o' : α → Option (Fin A)} (h : ∀ i, cycleFiber o i = cycleFiber o' i) : o = o' := by funext x have he (i : Fin A) : o x = some i ↔ o' x = some i := by simpa only [mem_cycleFiber] using (Finset.ext_iff.mp (h i) x) cases ho : o x with | some i => exact ((he i).mp ho).symm | none => cases ho' : o' x with | none => rfl | some i => have hn := (he i).mpr ho'; rw [ho] at hn; contradiction abbrev RootedSlots (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) := Σ c : CycleSlots p S r, Terminal c.val noncomputable def rootedStart {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (c : RootedSlots p S r) : Fin A → S := fun i => ⟨p (c.2 i).val,c.1.property.2.1 i (by rw [←c.1.property.2.2 i (c.2 i).val (c.2 i).property] exact (mem_orbitSet _ _ _).mpr (Equiv.Perm.SameCycle.apply_right (Equiv.Perm.SameCycle.refl p _)))⟩ lemma rootedStart_injective {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} : Function.Injective (rootedStart (p:=p) (S:=S) (r:=r)) := by rintro ⟨c,z⟩ ⟨c',z'⟩ h have hz (i : Fin A) : (z i).val = (z' i).val := p.injective (congrArg Subtype.val (congrFun h i)) have hc : c = c' := Subtype.ext (owner_ext (fun i => by rw [←c.property.2.2 i (z i).val (z i).property, ←c'.property.2.2 i (z' i).val (z' i).property,hz])) subst c' have hzz : z = z' := funext (fun i => Subtype.ext (hz i)) subst z' rfl /-- Sum over every rooted realized collection is controlled by the sum over all starts. This injectivity step retains cycle disjointness and all rotations. -/ lemma rooted_weight_sum_le (S : Finset (α)) (r : Fin A → ℕ) (ω : ι → Bool) : (∑ c : RootedSlots (R.perm ω) S r, ((2:ℝ)^d)^A * Real.exp (-Real.log 2 * rotationCharge R c.1.val (ω) c.2)) ≤ ∑ a : Fin A → S, if (QueryTree.seekCycles R S (List.ofFn (fun i => ((a i).val,r i))) ∅).succeeds ω then ((2:ℝ)^d)^A / (2:ℝ)^(QueryTree.seekCycles R S (List.ofFn (fun i => ((a i).val,r i))) ∅).staleCharge ∅ ω else 0 := by classical let p := R.perm ω let g (a : Fin A → S) : ℝ := if (QueryTree.seekCycles R S (List.ofFn (fun i => ((a i).val,r i))) ∅).succeeds ω then ((2:ℝ)^d)^A / (2:ℝ)^(QueryTree.seekCycles R S (List.ofFn (fun i => ((a i).val,r i))) ∅).staleCharge ∅ ω else 0 have he (c : RootedSlots p S r) : ((2:ℝ)^d)^A * Real.exp (-Real.log 2 * rotationCharge R c.1.val (ω) c.2) = g (rootedStart c) := by have hs := QueryTree.seekCycles_owned R S r c.1.val c.2 ω c.1.property.2.1 (fun i => c.1.property.2.2 i (c.2 i).val (c.2 i).property) c.1.property.1 dsimp only at hs unfold g rw [ite_eq_left (show (QueryTree.seekCycles R S (List.ofFn (fun i => ((rootedStart c i).val,r i))) ∅).succeeds ω = true from hs.1)] rw [← hs.2,neg_mul,Real.exp_neg,mul_comm (Real.log 2),Real.exp_nat_mul,Real.exp_log (by norm_num : (0:ℝ)<2)] rfl simp_rw [he] exact sum_comp_injective_le rootedStart rootedStart_injective g (fun a => by dsimp [g]; split_ifs <;> positivity) lemma collection_rotation_lower (S : Finset (α)) (r : Fin A → ℕ) (hr : Monotone r) (ω : ι → Bool) (c : CycleSlots (R.perm ω) S r) : collectionWeight d r ≤ ∑ z : Terminal c.val, ((2:ℝ)^d)^A * Real.exp (-Real.log 2 * rotationCharge R c.val (ω) z) := by classical let (i : Fin A) : Nonempty {x : α // c.val x = some i} := c.terminal_nonempty i have hm : Monotone (fun i => (cycleFiber c.val i).card) := by intro i j hij dsimp only rw [c.property.1,c.property.1] exact Nat.add_le_add_right (hr hij) 1 have hb := rotation_exp_bound R hm (ω) have hcard : (Fintype.card (Terminal c.val) : ℝ) = ∏ i : Fin A, (r i+1 : ℝ) := by rw [Fintype.card_pi,Nat.cast_prod] apply Finset.prod_congr rfl intro i _ rw [card_cycleFiber,c.property.1,Nat.cast_add,Nat.cast_one] have hp : (0:ℝ) < Fintype.card (Terminal c.val) := Nat.cast_pos.mpr Fintype.card_pos have hl : rotationLower d r ≤ finiteMean (fun z : Terminal c.val => Real.exp (-Real.log 2 * rotationCharge R c.val (ω) z)) := by simpa only [rotationLower,c.property.1,Nat.cast_add,Nat.cast_one] using hb have hh := (le_div_iff₀ hp).mp hl rw [hcard] at hh unfold collectionWeight rw [← Finset.mul_sum] calc _ = ((2:ℝ)^d)^A * (rotationLower d r * ∏ i : Fin A, (r i+1 : ℝ)) := by ring _ ≤ _ := mul_le_mul_of_nonneg_left hh (by positivity) /-- The weighted collection inequality obtained by summing the actual adaptive query certificate over starts. The subsequent simplification yields FAC.3. -/ lemma cycleSlots_weighted_moment (S : Finset (α)) (r : Fin A → ℕ) (hr : Monotone r) : finiteMean (fun ω : ι → Bool => (Fintype.card (CycleSlots (R.perm ω) S r) : ℝ)) * collectionWeight d r ≤ (S.card : ℝ)^A := by classical let g (a : Fin A → S) (ω : ι → Bool) : ℝ := if (QueryTree.seekCycles R S (List.ofFn (fun i => ((a i).val,r i))) ∅).succeeds ω then ((2:ℝ)^d)^A / (2:ℝ)^(QueryTree.seekCycles R S (List.ofFn (fun i => ((a i).val,r i))) ∅).staleCharge ∅ ω else 0 have hω (ω : ι → Bool) : (Fintype.card (CycleSlots (R.perm ω) S r) : ℝ) * collectionWeight d r ≤ ∑ a : Fin A → S, g a ω := by calc _ = ∑ _c : CycleSlots (R.perm ω) S r, collectionWeight d r := by simp _ ≤ ∑ c : CycleSlots (R.perm ω) S r, ∑ z : Terminal c.val, ((2:ℝ)^d)^A * Real.exp (-Real.log 2 * rotationCharge R c.val (ω) z) := Finset.sum_le_sum (fun c _ => collection_rotation_lower R S r hr ω c) _ = ∑ c : RootedSlots (R.perm ω) S r, ((2:ℝ)^d)^A * Real.exp (-Real.log 2 * rotationCharge R c.1.val (ω) c.2) := (Fintype.sum_sigma (fun c : RootedSlots (R.perm ω) S r => ((2:ℝ)^d)^A * Real.exp (-Real.log 2 * rotationCharge R c.1.val (ω) c.2))).symm _ ≤ _ := rooted_weight_sum_le R S r ω have hb := finiteMean_mono hω rw [finiteMean_mul_const,finiteMean_sum] at hb calc _ ≤ ∑ a : Fin A → S, finiteMean (g a) := hb _ ≤ ∑ _a : Fin A → S, (1:ℝ) := by apply Finset.sum_le_sum intro a _ have hh := QueryTree.cycles_weighted_success R S (List.ofFn (fun i : Fin A => ((a i).val,r i))) simpa only [List.length_ofFn] using hh _ = _ := by simp lemma cycleSlots_moment (S : Finset (α)) (r : Fin A → ℕ) (hr : Monotone r) : finiteMean (fun ω : ι → Bool => (Fintype.card (CycleSlots (R.perm ω) S r) : ℝ)) ≤ (S.card : ℝ)^A / collectionWeight d r := by exact (le_div_iff₀ (collectionWeight_pos d r)).mpr (cycleSlots_weighted_moment R S r hr) /-- The exact fixed-distinguished-slot form of FAC.3, with physical butterfly size n=2^d and every slot a whole permutation cycle of the stated length. -/ lemma butterfly_cycleSlots_moment (S : Finset (α)) (r : Fin A → ℕ) (hr : Monotone r) : finiteMean (fun ω : ι → Bool => (Fintype.card (CycleSlots (R.perm ω) S r) : ℝ)) ≤ ((S.card : ℝ) / Real.sqrt ((2:ℝ)^d))^A * ∏ i : Fin A, (1 / Real.sqrt (r i+1)) := by have h := cycleSlots_moment R S r hr rw [collectionWeight_eq_sqrt,div_mul_eq_div_mul_one_div] at h rw [div_pow] simpa only [one_div,Finset.prod_inv_distrib] using h end Collections section CycleCounting variable {A : ℕ} /-- The genuine cycles retained completely in S; fixed points are included. -/ abbrev SelectedCycle (p : Equiv.Perm (α)) (S : Finset (α)) := {C : Finset (α) // (∃ x, C = orbitSet p x) ∧ C ⊆ S} noncomputable instance (p : Equiv.Perm (α)) (S : Finset (α)) : Fintype (SelectedCycle p S) := Fintype.ofFinite _ lemma SelectedCycle.nonempty {p : Equiv.Perm (α)} {S : Finset (α)} (C : SelectedCycle p S) : C.val.Nonempty := by obtain ⟨x,hx⟩ := C.property.1 rw [hx] exact orbitSet_nonempty p x lemma SelectedCycle.orbit_eq {p : Equiv.Perm (α)} {S : Finset (α)} (C : SelectedCycle p S) {x : α} (hx : x ∈ C.val) : orbitSet p x = C.val := by obtain ⟨y,hy⟩ := C.property.1 rw [hy] at hx ⊢ exact (orbitSet_eq p ((mem_orbitSet _ _ _).mp hx)).symm lemma SelectedCycle.eq_of_mem {p : Equiv.Perm (α)} {S : Finset (α)} (C D : SelectedCycle p S) {x : α} (hC : x ∈ C.val) (hD : x ∈ D.val) : C = D := by apply Subtype.ext exact (C.orbit_eq hC).symm.trans (D.orbit_eq hD) abbrev SlotAssignment (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) := {f : Fin A → SelectedCycle p S // Function.Injective f ∧ ∀ i, (f i).val.card = r i+1} noncomputable instance (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) : Fintype (SlotAssignment p S r) := Fintype.ofFinite _ noncomputable def slotsToAssignment {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (c : CycleSlots p S r) : SlotAssignment p S r := by classical let f (i : Fin A) : SelectedCycle p S := ⟨cycleFiber c.val i,by obtain ⟨x,hx⟩ := c.terminal_nonempty i exact ⟨⟨x,(c.property.2.2 i x hx).symm⟩,c.property.2.1 i⟩⟩ refine ⟨f,?_,fun i => c.property.1 i⟩ intro i j hij have he : cycleFiber c.val i = cycleFiber c.val j := congrArg Subtype.val hij obtain ⟨x,hx⟩ := c.terminal_nonempty i have hxi : x ∈ cycleFiber c.val i := (mem_cycleFiber _ _ _).mpr hx rw [he] at hxi exact Option.some.inj (hx.symm.trans ((mem_cycleFiber _ _ _).mp hxi)) noncomputable def assignmentOwner {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (f : SlotAssignment p S r) (x : α) : Option (Fin A) := by classical exact if h : ∃ i, x ∈ (f.val i).val then some (Classical.choose h) else none lemma assignmentOwner_eq_some {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (f : SlotAssignment p S r) (x : α) (i : Fin A) : assignmentOwner f x = some i ↔ x ∈ (f.val i).val := by classical unfold assignmentOwner split_ifs with h · constructor · intro hi have hx := Classical.choose_spec h rw [Option.some.inj hi] at hx exact hx · intro hx have he := (f.val (Classical.choose h)).eq_of_mem (f.val i) (Classical.choose_spec h) hx exact congrArg some (f.property.1 he) · constructor · intro hi; contradiction · intro hx; exact (h ⟨i,hx⟩).elim lemma assignmentOwner_fiber {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (f : SlotAssignment p S r) (i : Fin A) : cycleFiber (assignmentOwner f) i = (f.val i).val := by ext x simp only [mem_cycleFiber,assignmentOwner_eq_some] noncomputable def assignmentToSlots {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (f : SlotAssignment p S r) : CycleSlots p S r := ⟨assignmentOwner f,by refine ⟨?_,?_,?_⟩ · intro i rw [assignmentOwner_fiber] exact f.property.2 i · intro i rw [assignmentOwner_fiber] exact (f.val i).property.2 · intro i x hx rw [assignmentOwner_fiber] exact (f.val i).orbit_eq ((assignmentOwner_eq_some f x i).mp hx)⟩ /-- Ownership and labelled distinct full cycles are equivalent, not merely bounded by one another. This identifies the factorial-moment combinatorics. -/ noncomputable def cycleSlotsEquivAssignments (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) : CycleSlots p S r ≃ SlotAssignment p S r where toFun := slotsToAssignment invFun := assignmentToSlots left_inv c := by apply Subtype.ext apply owner_ext intro i rw [assignmentToSlots,assignmentOwner_fiber] rfl right_inv f := by apply Subtype.ext funext i apply Subtype.ext exact assignmentOwner_fiber f i end CycleCounting section GroupedCounting variable {A : ℕ} abbrev LengthClass (r : Fin A → ℕ) := {j : ℕ // j ∈ Finset.univ.image (fun i => r i + 1)} def slotClass (r : Fin A → ℕ) (i : Fin A) : LengthClass r := ⟨r i+1, Finset.mem_image.mpr ⟨i, Finset.mem_univ _, rfl⟩⟩ abbrev SlotsOfLength (r : Fin A → ℕ) (j : LengthClass r) := {i : Fin A // slotClass r i = j} abbrev CyclesOfLength (p : Equiv.Perm (α)) (S : Finset (α)) (j : ℕ) := {C : SelectedCycle p S // C.val.card = j} noncomputable instance (p : Equiv.Perm (α)) (S : Finset (α)) (j : ℕ) : Fintype (CyclesOfLength p S j) := Fintype.ofFinite _ abbrev GroupedAssignments (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) := ∀ j : LengthClass r, SlotsOfLength r j ↪ CyclesOfLength p S j.val noncomputable def assignmentToGroups {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (f : SlotAssignment p S r) : GroupedAssignments p S r := fun _j => { toFun := fun i => ⟨f.val i.val, (f.property.2 i.val).trans (congrArg Subtype.val i.property)⟩ inj' := fun _i _k h => Subtype.ext (f.property.1 (congrArg Subtype.val h)) } noncomputable def groupsEmbedding {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (F : GroupedAssignments p S r) : Fin A ↪ SelectedCycle p S := ((Equiv.sigmaFiberEquiv (slotClass r)).symm.toEmbedding.trans (Function.Embedding.sigmaMap (Function.Embedding.refl _) F)).trans ((Function.Embedding.sigmaMap (Function.Embedding.subtype _) (fun _ => Function.Embedding.refl _)).trans (Equiv.sigmaFiberEquiv (fun C : SelectedCycle p S => C.val.card)).toEmbedding) noncomputable def groupsToAssignment {p : Equiv.Perm (α)} {S : Finset (α)} {r : Fin A → ℕ} (F : GroupedAssignments p S r) : SlotAssignment p S r := ⟨groupsEmbedding F, (groupsEmbedding F).injective, fun i => (F (slotClass r i) ⟨i,rfl⟩).property⟩ noncomputable def assignmentEquivGroups (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) : SlotAssignment p S r ≃ GroupedAssignments p S r where toFun := assignmentToGroups invFun := groupsToAssignment left_inv f := by apply Subtype.ext rfl right_inv F := by funext j apply Function.Embedding.ext intro i rcases i with ⟨i,hi⟩ subst j rfl lemma card_cycleSlots_factorial (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) : Fintype.card (CycleSlots p S r) = ∏ j : LengthClass r, (Fintype.card (CyclesOfLength p S j.val)).descFactorial (Fintype.card (SlotsOfLength r j)) := by classical rw [Fintype.card_congr (cycleSlotsEquivAssignments p S r), Fintype.card_congr (assignmentEquivGroups p S r), Fintype.card_pi] simp only [Fintype.card_embedding_eq] /-- Factorial moments for independently fair butterflies, including every fixed point. The product is over the distinct positive lengths in the given sorted slot list. -/ lemma butterfly_factorial_moment (S : Finset (α)) (r : Fin A → ℕ) (hr : Monotone r) : finiteMean (fun ω : ι → Bool => (∏ j : LengthClass r, (Fintype.card (CyclesOfLength (R.perm ω) S j.val)).descFactorial (Fintype.card (SlotsOfLength r j)) : ℕ)) ≤ ((S.card : ℝ) / Real.sqrt ((2:ℝ)^d))^A * ∏ i : Fin A, (1 / Real.sqrt (r i+1)) := by simpa only [←card_cycleSlots_factorial] using butterfly_cycleSlots_moment R S r hr end GroupedCounting section AllLengths variable {A : ℕ} noncomputable def assignmentRelabel (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) (e : Equiv.Perm (Fin A)) : SlotAssignment p S r ≃ SlotAssignment p S (r ∘ e) where toFun f := ⟨f.val ∘ e, f.property.1.comp e.injective, fun i => f.property.2 (e i)⟩ invFun f := ⟨f.val ∘ e.symm, f.property.1.comp e.symm.injective, fun i => by simpa only [Function.comp_apply,Equiv.apply_symm_apply] using f.property.2 (e.symm i)⟩ left_inv f := by apply Subtype.ext; funext i; simp right_inv f := by apply Subtype.ext; funext i; simp lemma card_cycleSlots_relabel (p : Equiv.Perm (α)) (S : Finset (α)) (r : Fin A → ℕ) (e : Equiv.Perm (Fin A)) : Fintype.card (CycleSlots p S r) = Fintype.card (CycleSlots p S (r ∘ e)) := by exact Fintype.card_congr ((cycleSlotsEquivAssignments p S r).trans ((assignmentRelabel p S r e).trans (cycleSlotsEquivAssignments p S (r ∘ e)).symm)) lemma butterfly_cycleSlots_moment_all (S : Finset (α)) (r : Fin A → ℕ) : finiteMean (fun ω : ι → Bool => (Fintype.card (CycleSlots (R.perm ω) S r) : ℝ)) ≤ ((S.card : ℝ) / Real.sqrt ((2:ℝ)^d))^A * ∏ i : Fin A, (1 / Real.sqrt (r i+1)) := by have h := butterfly_cycleSlots_moment R S (r ∘ Tuple.sort r) (Tuple.monotone_sort r) simp_rw [←card_cycleSlots_relabel] at h have hp := Equiv.prod_comp (Tuple.sort r) (fun i : Fin A => (1 / Real.sqrt (r i+1) : ℝ)) simpa only [Function.comp_apply,hp] using h abbrev ShortCycle (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) := {C : SelectedCycle p S // C.val.card ≤ J} noncomputable instance (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) : Fintype (ShortCycle p S J) := Fintype.ofFinite _ noncomputable def shortCycleLength {p : Equiv.Perm (α)} {S : Finset (α)} {J : ℕ} (C : ShortCycle p S J) : Fin J := ⟨C.val.val.card-1, by have := C.val.nonempty.card_pos; have := C.property; omega⟩ lemma shortCycleLength_add_one {p : Equiv.Perm (α)} {S : Finset (α)} {J : ℕ} (C : ShortCycle p S J) : (shortCycleLength C : ℕ)+1 = C.val.val.card := by have := C.val.nonempty.card_pos simp only [shortCycleLength] omega noncomputable def shortEmbeddingEquiv (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) : (Fin A ↪ ShortCycle p S J) ≃ Σ r : Fin A → Fin J, SlotAssignment p S (fun i => (r i : ℕ)) where toFun f := ⟨fun i => shortCycleLength (f i), ⟨fun i => (f i).val, fun i j h => f.injective (Subtype.ext h), fun i => (shortCycleLength_add_one (f i)).symm⟩⟩ invFun c := { toFun := fun i => ⟨c.2.val i, by rw [c.2.property.2]; exact (c.1 i).isLt⟩ inj' := fun _i _j h => c.2.property.1 (congrArg Subtype.val h) } left_inv f := by apply Function.Embedding.ext intro i rfl right_inv c := by rcases c with ⟨r,f⟩ have he : (fun i => shortCycleLength (⟨f.val i, by rw [f.property.2]; exact (r i).isLt⟩ : ShortCycle p S J)) = r := by funext i apply Fin.ext simp only [shortCycleLength,f.property.2,Nat.add_sub_cancel] apply Sigma.ext he apply (Subtype.heq_iff_coe_eq (by intro x change (Function.Injective x ∧ ∀ i, (x i).val.card = (f.val i).val.card - 1 + 1) ↔ _ simp only [f.property.2,Nat.add_sub_cancel])).mpr rfl lemma shortCycle_factorial_eq (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) : (Fintype.card (ShortCycle p S J)).descFactorial A = ∑ r : Fin A → Fin J, Fintype.card (CycleSlots p S (fun i => (r i : ℕ))) := by classical have hc := Fintype.card_embedding_eq (α := Fin A) (β := ShortCycle p S J) simp only [Fintype.card_fin] at hc rw [←hc, Fintype.card_congr (shortEmbeddingEquiv p S J),Fintype.card_sigma] apply Finset.sum_congr rfl intro r _ exact (Fintype.card_congr (cycleSlotsEquivAssignments p S (fun i => (r i : ℕ)))).symm end AllLengths section CycleMGF lemma butterfly_shortCycle_moment (S : Finset (α)) (J A : ℕ) : finiteMean (fun ω : ι → Bool => ((Fintype.card (ShortCycle (R.perm ω) S J)).descFactorial A : ℝ)) ≤ ((S.card : ℝ) / Real.sqrt ((2:ℝ)^d) * ∑ j : Fin J, 1 / Real.sqrt ((j:ℕ)+1))^A := by classical simp_rw [shortCycle_factorial_eq,Nat.cast_sum,finiteMean_sum] calc _ ≤ ∑ r : Fin A → Fin J, ((S.card : ℝ) / Real.sqrt ((2:ℝ)^d))^A * ∏ i : Fin A, (1 / Real.sqrt ((r i : ℕ)+1)) := by apply Finset.sum_le_sum intro r _ exact butterfly_cycleSlots_moment_all R S (fun i => (r i : ℕ)) _ = _ := by rw [←Finset.mul_sum,mul_pow] congr 1 rw [←Fintype.prod_sum (fun (_ : Fin A) (j : Fin J) => (1 / Real.sqrt ((j:ℕ)+1) : ℝ))] simp only [Finset.prod_const,Finset.card_univ,Fintype.card_fin] noncomputable def cycleMass (p : Equiv.Perm (α)) (S : Finset (α)) : ℕ := ∑ C : SelectedCycle p S, C.val.card lemma cycleMass_le (p : Equiv.Perm (α)) (S : Finset (α)) : cycleMass p S ≤ S.card := by classical let f : (Σ C : SelectedCycle p S, {x : α // x ∈ C.val}) → S := fun c => ⟨c.2.val,c.1.property.2 c.2.property⟩ have hi : Function.Injective f := by intro c e h have hx : c.2.val = e.2.val := congrArg Subtype.val h have hC : c.1 = e.1 := c.1.eq_of_mem e.1 c.2.property (hx ▸ e.2.property) rcases c with ⟨c,x⟩ rcases e with ⟨e,y⟩ dsimp only at hC subst e have he : x=y := Subtype.ext hx cases he rfl have hh := Fintype.card_le_of_injective f hi simpa only [Fintype.card_sigma,Fintype.card_coe,cycleMass] using hh lemma shortCycle_card_le (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) : Fintype.card (ShortCycle p S J) ≤ S.card := by classical calc _ ≤ Fintype.card (SelectedCycle p S) := Fintype.card_subtype_le _ _ = ∑ _ : SelectedCycle p S, 1 := by simp _ ≤ cycleMass p S := Finset.sum_le_sum (fun C _ => C.nonempty.card_pos) _ ≤ _ := cycleMass_le p S lemma butterfly_shortCycle_mgf (S : Finset (α)) (J : ℕ) (q : ℝ) (hq : 1 ≤ q) : finiteMean (fun ω : ι → Bool => q^(Fintype.card (ShortCycle (R.perm ω) S J))) ≤ Real.exp ((q-1)*((S.card : ℝ) / Real.sqrt ((2:ℝ)^d) * ∑ j : Fin J, 1 / Real.sqrt ((j:ℕ)+1))) := by apply factorial_mgf _ S.card _ q (fun ω => shortCycle_card_le _ _ _) · positivity · exact hq · exact butterfly_shortCycle_moment R S J end CycleMGF section FullCycleMGF abbrev LongCycle (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) := {C : SelectedCycle p S // ¬ C.val.card ≤ J} noncomputable instance (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) : Fintype (LongCycle p S J) := Fintype.ofFinite _ lemma selectedCycle_card_split (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) : Fintype.card (SelectedCycle p S) = Fintype.card (ShortCycle p S J) + Fintype.card (LongCycle p S J) := by classical rw [←Fintype.card_congr (Equiv.sumCompl (fun C : SelectedCycle p S => C.val.card ≤ J)),Fintype.card_sum] lemma longCycle_card_bound (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) : J * Fintype.card (LongCycle p S J) ≤ S.card := by classical have hs := Equiv.sum_comp (Equiv.sumCompl (fun C : SelectedCycle p S => C.val.card ≤ J)) (fun C : SelectedCycle p S => C.val.card) rw [Fintype.sum_sum_type] at hs have h0 : J * Fintype.card (LongCycle p S J) ≤ ∑ C : LongCycle p S J, C.val.val.card := by calc _ = ∑ _C : LongCycle p S J, J := by simp [mul_comm] _ ≤ _ := Finset.sum_le_sum (fun C _ => Nat.le_of_lt (Nat.lt_of_not_ge C.property)) have hh := cycleMass_le p S unfold cycleMass at hh rw [←hs] at hh exact h0.trans ((Nat.le_add_left _ _).trans hh) lemma longCycle_pow_bound (p : Equiv.Perm (α)) (S : Finset (α)) (J : ℕ) (hJ : 0 < J) (q : ℝ) (hq : 1 ≤ q) : q^(Fintype.card (LongCycle p S J)) ≤ Real.exp ((S.card : ℝ)/J * Real.log q) := by have hq0 : 0 < q := lt_of_lt_of_le zero_lt_one hq have hc : (Fintype.card (LongCycle p S J) : ℝ) ≤ (S.card : ℝ)/J := by apply (le_div_iff₀ (by exact_mod_cast hJ)).mpr have hh := longCycle_card_bound p S J exact_mod_cast (by simpa only [mul_comm] using hh) calc _ = Real.exp ((Fintype.card (LongCycle p S J) : ℝ)*Real.log q) := by rw [Real.exp_nat_mul,Real.exp_log hq0] _ ≤ _ := Real.exp_le_exp.mpr (mul_le_mul_of_nonneg_right hc (Real.log_nonneg hq)) /-- FAC.4 for a full fair butterfly, with actual whole permutation cycles retained inside the marked set. No asymptotic or numerical oracle enters. -/ lemma butterfly_cycle_log_mgf (S : Finset (α)) (J : ℕ) (hJ : 0 < J) (q : ℝ) (hq : 1 ≤ q) : Real.log (finiteMean (fun ω : ι → Bool => q^(Fintype.card (SelectedCycle (R.perm ω) S)))) ≤ (S.card : ℝ)/J * Real.log q + 2*q*S.card*Real.sqrt J / Real.sqrt ((2:ℝ)^d) := by let lam : ℝ := (S.card : ℝ)/Real.sqrt ((2:ℝ)^d) * ∑ j : Fin J, 1 / Real.sqrt ((j:ℕ)+1) let c : ℝ := (S.card : ℝ)/J * Real.log q have hnum : (q-1)*lam ≤ 2*q*S.card*Real.sqrt J / Real.sqrt ((2:ℝ)^d) := by have hsum := sum_inv_sqrt J have hp : 0 ≤ (S.card : ℝ)/Real.sqrt ((2:ℝ)^d) := by positivity have h0 : 0 ≤ 2*Real.sqrt J := by positivity have hh := mul_le_mul_of_nonneg_left hsum hp have hq1 : 0 ≤ q-1 := sub_nonneg.mpr hq calc _ ≤ (q-1)*((S.card : ℝ)/Real.sqrt ((2:ℝ)^d)*(2*Real.sqrt J)) := mul_le_mul_of_nonneg_left hh hq1 _ ≤ q*((S.card : ℝ)/Real.sqrt ((2:ℝ)^d)*(2*Real.sqrt J)) := mul_le_mul_of_nonneg_right (by linarith) (mul_nonneg hp h0) _ = _ := by ring have hm : finiteMean (fun ω : ι → Bool => q^(Fintype.card (SelectedCycle (R.perm ω) S))) ≤ Real.exp (c+(q-1)*lam) := by calc _ ≤ finiteMean (fun ω : ι → Bool => q^(Fintype.card (ShortCycle (R.perm ω) S J))*Real.exp c) := by apply finiteMean_mono intro ω rw [selectedCycle_card_split _ _ J,pow_add] exact mul_le_mul_of_nonneg_left (longCycle_pow_bound _ S J hJ q hq) (by positivity) _ = finiteMean (fun ω : ι → Bool => q^(Fintype.card (ShortCycle (R.perm ω) S J))) * Real.exp c := finiteMean_mul_const _ _ _ ≤ Real.exp ((q-1)*lam) * Real.exp c := mul_le_mul_of_nonneg_right (butterfly_shortCycle_mgf R S J q hq) (Real.exp_nonneg _) _ = _ := by rw [←Real.exp_add,add_comm] have hpos : 0 < finiteMean (fun ω : ι → Bool => q^(Fintype.card (SelectedCycle (R.perm ω) S))) := by apply finiteMean_pos intro ω positivity have hlog := Real.log_le_log hpos hm rw [Real.log_exp] at hlog dsimp [c] at hlog linarith end FullCycleMGF end RoutingNetwork end CubeShuffle end OAI