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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