openAI-math-dataset / lean /OAI /LinearAlgebra /MatrixMultiplication /Recovery /InheritedMaskConcentration.lean
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import OAI.LinearAlgebra.MatrixMultiplication.Recovery.PermutationMatchingHalves
import OAI.LinearAlgebra.MatrixMultiplication.Recovery.InheritedMasks
import OAI.LinearAlgebra.MatrixMultiplication.Recovery.OrbitCounting
import Mathlib.Algebra.BigOperators.Field
namespace OAI
/-! Finite orbit symmetries, masks and exact recovery operations. -/
namespace MatrixMultiplication.PermutationMatching
open scoped BigOperators
open Classical
noncomputable section
section ClassProducts
variable {C : Type*} [Fintype C] [DecidableEq C] {P : C → Type*}
[∀ c, Fintype (P c)] [∀ c, DecidableEq (P c)]
abbrev ClassPermutations (P : C → Type*) := ∀ c, Equiv.Perm (P c)
def populationSize (P : C → Type*) [∀ c, Fintype (P c)] : ℝ :=
∑ c, (Fintype.card (P c) : ℝ)
def totalMatchingCount (A B : ∀ c, Finset (P c))
(p : ClassPermutations P) : ℝ :=
∑ c, matchingCount (A c) (B c) (p c)
def totalMatchingMean (A B : ∀ c, Finset (P c)) : ℝ :=
∑ c, average (matchingCount (A c) (B c))
theorem average_totalMatchingCount (A B : ∀ c, Finset (P c)) :
average (totalMatchingCount A B) = totalMatchingMean A B := by
classical
unfold totalMatchingCount totalMatchingMean
rw [average_sum]
apply Finset.sum_congr rfl
intro c _
exact average_pi_eval (X := fun c => Equiv.Perm (P c)) c
(matchingCount (A c) (B c))
omit [DecidableEq C] in
theorem totalMatchingMean_eq [∀ c, Nonempty (P c)]
(A B : ∀ c, Finset (P c)) :
totalMatchingMean A B =
∑ c, ((A c).card : ℝ) * ((B c).card : ℝ) / (Fintype.card (P c) : ℝ) := by
classical
unfold totalMatchingMean
apply Finset.sum_congr rfl
intro c _
exact average_matchingCount (A c) (B c)
theorem totalMatchingCount_variance_le (A B : ∀ c, Finset (P c))
(hn : ∀ c, 2 ≤ Fintype.card (P c)) :
average (fun p : ClassPermutations P =>
(totalMatchingCount A B p - totalMatchingMean A B) ^ 2) ≤
populationSize P / 8 := by
classical
calc
_ = ∑ c, average (fun p : Equiv.Perm (P c) =>
(matchingCount (A c) (B c) p - average (matchingCount (A c) (B c))) ^ 2) := by
simpa only [totalMatchingCount, totalMatchingMean, Finset.sum_sub_distrib]
using average_pi_sum_centered_sq (fun c => matchingCount (A c) (B c))
_ ≤ ∑ c, (Fintype.card (P c) : ℝ) / 8 :=
Finset.sum_le_sum fun c _ => matchingCount_variance_le (A c) (B c) (hn c)
_ = populationSize P / 8 := by rw [← Finset.sum_div]; rfl
theorem totalMatchingCount_deviation_le (A B : ∀ c, Finset (P c))
(hn : ∀ c, 2 ≤ Fintype.card (P c)) (δ : ℝ) (hδ : 0 < δ) :
average (fun p : ClassPermutations P =>
if δ ≤ |totalMatchingCount A B p - totalMatchingMean A B| then 1 else 0) ≤
populationSize P / (8 * δ ^ 2) := by
classical
have h := (deviation_bound (totalMatchingCount A B) (totalMatchingMean A B) δ hδ).trans
(totalMatchingCount_variance_le A B hn)
calc
_ ≤ (populationSize P / 8) / δ ^ 2 := (le_div_iff₀ (sq_pos_of_pos hδ)).2 h
_ = _ := by rw [div_div]
theorem normalizedMatchingCount_deviation_le (A B : ∀ c, Finset (P c))
(hn : ∀ c, 2 ≤ Fintype.card (P c))
(hm : 0 < populationSize P) (η : ℝ) (hη : 0 < η) :
average (fun p : ClassPermutations P =>
if η / 2 ≤ |totalMatchingCount A B p / populationSize P -
totalMatchingMean A B / populationSize P| then 1 else 0) ≤
1 / (2 * populationSize P * η ^ 2) := by
classical
have hδ : 0 < populationSize P * η / 2 := by positivity
calc
_ ≤ average (fun p : ClassPermutations P =>
if populationSize P * η / 2 ≤
|totalMatchingCount A B p - totalMatchingMean A B| then 1 else 0) := by
apply average_mono
intro p
have hi : η / 2 ≤ |totalMatchingCount A B p / populationSize P -
totalMatchingMean A B / populationSize P| →
populationSize P * η / 2 ≤
|totalMatchingCount A B p - totalMatchingMean A B| := by
intro hp
rw [← sub_div, abs_div, abs_of_pos hm] at hp
have hh := (le_div_iff₀ hm).mp hp
nlinarith
split_ifs <;> simp_all
_ ≤ populationSize P / (8 * (populationSize P * η / 2) ^ 2) :=
totalMatchingCount_deviation_le A B hn _ hδ
_ = _ := by
field_simp [ne_of_gt hm, ne_of_gt hη]
ring
theorem inheritedMask_rejection_le (A B : ∀ c, Finset (P c))
(hn : ∀ c, 2 ≤ Fintype.card (P c))
(hm : 0 < populationSize P) (η ν : ℝ) (hη : 0 < η)
(hmargin : |totalMatchingMean A B / populationSize P - ν| ≤ η / 2) :
average (fun p : ClassPermutations P =>
if η < |totalMatchingCount A B p / populationSize P - ν| then 1 else 0) ≤
1 / (2 * populationSize P * η ^ 2) := by
classical
refine le_trans (average_mono ?_) (normalizedMatchingCount_deviation_le A B hn hm η hη)
intro p
have hi : η < |totalMatchingCount A B p / populationSize P - ν| →
η / 2 ≤ |totalMatchingCount A B p / populationSize P -
totalMatchingMean A B / populationSize P| := by
intro hp
have ht : |totalMatchingCount A B p / populationSize P - ν| ≤
|totalMatchingCount A B p / populationSize P -
totalMatchingMean A B / populationSize P| +
|totalMatchingMean A B / populationSize P - ν| := by
simpa only [sub_add_sub_cancel] using abs_add_le
(totalMatchingCount A B p / populationSize P - totalMatchingMean A B / populationSize P)
(totalMatchingMean A B / populationSize P - ν)
linarith
split_ifs <;> simp_all
theorem finite_inheritedMask_rejection_le {I : Type*} [Fintype I]
(A B : I → ∀ c, Finset (P c))
(hn : ∀ c, 2 ≤ Fintype.card (P c)) (hm : 0 < populationSize P)
(η ν : I → ℝ) (hη : ∀ i, 0 < η i)
(hmargin : ∀ i, |totalMatchingMean (A i) (B i) / populationSize P - ν i| ≤ η i / 2) :
average (fun p : ClassPermutations P =>
if ∃ i, η i < |totalMatchingCount (A i) (B i) p / populationSize P - ν i|
then 1 else 0) ≤ ∑ i, 1 / (2 * populationSize P * (η i) ^ 2) := by
classical
refine le_trans (average_indicator_exists_le_sum _) ?_
exact Finset.sum_le_sum fun i _ =>
inheritedMask_rejection_le (A i) (B i) hn hm (η i) (ν i) (hη i) (hmargin i)
theorem pushforward_sum_rejection_le {I : Type*} [Fintype I]
(A B : I → ∀ c, Finset (P c))
(hn : ∀ c, 2 ≤ Fintype.card (P c)) (hm : 0 < populationSize P)
(η : ℝ) (ν : I → ℝ) (hη : 0 < η)
(hmargin : ∀ i, |totalMatchingMean (A i) (B i) / populationSize P - ν i| ≤
(η / Fintype.card I) / 2) :
average (fun p : ClassPermutations P =>
if η < |(∑ i, totalMatchingCount (A i) (B i) p / populationSize P) - ∑ i, ν i|
then 1 else 0) ≤
∑ _i : I, 1 / (2 * populationSize P * (η / Fintype.card I) ^ 2) := by
classical
by_cases hIcard : Fintype.card I = 0
· have : IsEmpty I := Fintype.card_eq_zero_iff.mp hIcard
simp [not_lt.mpr (le_of_lt hη)]
have : Nonempty I := Fintype.card_pos_iff.mp (Nat.pos_of_ne_zero hIcard)
have hcard : (0 : ℝ) < Fintype.card I := by
exact_mod_cast Fintype.card_pos
have htol : 0 < η / (Fintype.card I : ℝ) := div_pos hη hcard
refine le_trans (average_mono ?_)
(finite_inheritedMask_rejection_le A B hn hm (fun _ => η / Fintype.card I)
ν (fun _ => htol) hmargin)
intro p
have hi : η < |(∑ i, totalMatchingCount (A i) (B i) p / populationSize P) -
∑ i, ν i| →
∃ i, η / Fintype.card I <
|totalMatchingCount (A i) (B i) p / populationSize P - ν i| := by
intro hp
by_contra h
push Not at h
have he : |(∑ i, totalMatchingCount (A i) (B i) p / populationSize P) -
∑ i, ν i| ≤ η := by
rw [← Finset.sum_sub_distrib]
calc
_ ≤ ∑ i, |totalMatchingCount (A i) (B i) p / populationSize P - ν i| :=
Finset.abs_sum_le_sum_abs _ _
_ ≤ ∑ _i : I, η / Fintype.card I := Finset.sum_le_sum fun i _ => h i
_ = η := by
simp only [Finset.sum_const, Finset.card_univ, nsmul_eq_mul]
field_simp [ne_of_gt hcard]
linarith
split_ifs <;> simp_all
def totalTwoHalfCount (A B : ∀ c, Finset (P c))
(p : ClassPermutations P × ClassPermutations P) : ℝ :=
∑ c, twoHalfCount (A c) (B c) (p.1 c) (p.2 c)
theorem average_totalTwoHalfCount_test (A B : ∀ c, Finset (P c)) (f : ℝ → ℝ) :
average (fun p : ClassPermutations P × ClassPermutations P =>
f (totalTwoHalfCount A B p)) =
average (fun p : ClassPermutations P => f (totalMatchingCount A B p)) := by
calc
_ = average (fun p : ClassPermutations P × ClassPermutations P =>
f (totalMatchingCount A B (relativeFamily P p.1 p.2))) := by
apply average_congr
intro p
exact congrArg f (sum_twoHalfCount_eq_matchingCount P A B p.1 p.2)
_ = _ := average_relativeFamily P (fun p => f (totalMatchingCount A B p))
theorem average_totalTwoHalfCounts_test {I : Type*}
(A B : I → ∀ c, Finset (P c)) (f : (I → ℝ) → ℝ) :
average (fun p : ClassPermutations P × ClassPermutations P =>
f (fun i => totalTwoHalfCount (A i) (B i) p)) =
average (fun p : ClassPermutations P =>
f (fun i => totalMatchingCount (A i) (B i) p)) := by
calc
_ = average (fun p : ClassPermutations P × ClassPermutations P =>
f (fun i => totalMatchingCount (A i) (B i) (relativeFamily P p.1 p.2))) := by
apply average_congr
intro p
apply congrArg f
funext i
exact sum_twoHalfCount_eq_matchingCount P (A i) (B i) p.1 p.2
_ = _ := average_relativeFamily P
(fun p => f (fun i => totalMatchingCount (A i) (B i) p))
theorem twoHalf_pushforward_sum_rejection_le {I : Type*} [Fintype I]
(A B : I → ∀ c, Finset (P c))
(hn : ∀ c, 2 ≤ Fintype.card (P c)) (hm : 0 < populationSize P)
(η : ℝ) (ν : I → ℝ) (hη : 0 < η)
(hmargin : ∀ i, |totalMatchingMean (A i) (B i) / populationSize P - ν i| ≤
(η / Fintype.card I) / 2) :
average (fun p : ClassPermutations P × ClassPermutations P =>
if η < |(∑ i, totalTwoHalfCount (A i) (B i) p / populationSize P) - ∑ i, ν i|
then 1 else 0) ≤
∑ _i : I, 1 / (2 * populationSize P * (η / Fintype.card I) ^ 2) := by
classical
rw [average_totalTwoHalfCounts_test A B
(fun k => if η < |(∑ i, k i / populationSize P) - ∑ i, ν i| then 1 else 0)]
exact pushforward_sum_rejection_le A B hn hm η ν hη hmargin
theorem twoHalf_inheritedMask_rejection_le (A B : ∀ c, Finset (P c))
(hn : ∀ c, 2 ≤ Fintype.card (P c))
(hm : 0 < populationSize P) (η ν : ℝ) (hη : 0 < η)
(hmargin : |totalMatchingMean A B / populationSize P - ν| ≤ η / 2) :
average (fun p : ClassPermutations P × ClassPermutations P =>
if η < |totalTwoHalfCount A B p / populationSize P - ν| then 1 else 0) ≤
1 / (2 * populationSize P * η ^ 2) := by
classical
rw [average_totalTwoHalfCount_test A B
(fun k => if η < |k / populationSize P - ν| then 1 else 0)]
exact inheritedMask_rejection_le A B hn hm η ν hη hmargin
def selectedTwoHalfCount (D : Finset C) (A B : ∀ c, Finset (P c))
(p : ClassPermutations P × ClassPermutations P) : ℝ :=
totalTwoHalfCount (fun c : D => A c) (fun c : D => B c)
((fun c => p.1 c), (fun c => p.2 c))
theorem selectedTwoHalfMask_rejection_le (D : Finset C) (A B : ∀ c, Finset (P c))
(hn : ∀ c ∈ D, 2 ≤ Fintype.card (P c))
(hm : 0 < populationSize (fun c : D => P c)) (η ν : ℝ) (hη : 0 < η)
(hmargin : |totalMatchingMean (fun c : D => A c) (fun c : D => B c) /
populationSize (fun c : D => P c) - ν| ≤ η / 2) :
average (fun p : ClassPermutations P × ClassPermutations P =>
if η < |selectedTwoHalfCount D A B p / populationSize (fun c : D => P c) - ν|
then 1 else 0) ≤ 1 / (2 * populationSize (fun c : D => P c) * η ^ 2) := by
classical
have havg := average_prod_pi_restrict (X := fun c => Equiv.Perm (P c)) D
(fun p : ClassPermutations (fun c : D => P c) ×
ClassPermutations (fun c : D => P c) =>
if η < |totalTwoHalfCount (fun c : D => A c) (fun c : D => B c) p /
populationSize (fun c : D => P c) - ν| then (1 : ℝ) else 0)
change average (fun p : ClassPermutations P × ClassPermutations P =>
if η < |totalTwoHalfCount (fun c : D => A c) (fun c : D => B c)
((fun c => p.1 c), (fun c => p.2 c)) /
populationSize (fun c : D => P c) - ν| then 1 else 0) ≤ _
rw [havg]
exact twoHalf_inheritedMask_rejection_le (P := fun c : D => P c)
(fun c : D => A c) (fun c : D => B c)
(fun c : D => hn c c.property) hm η ν hη hmargin
theorem finite_selectedTwoHalfMask_rejection_le {I : Type*} [Fintype I]
(D : I → Finset C) (A B : I → ∀ c, Finset (P c))
(hn : ∀ i c, c ∈ D i → 2 ≤ Fintype.card (P c))
(hm : ∀ i, 0 < populationSize (fun c : D i => P c))
(η ν : I → ℝ) (hη : ∀ i, 0 < η i)
(hmargin : ∀ i,
|totalMatchingMean (fun c : D i => A i c) (fun c : D i => B i c) /
populationSize (fun c : D i => P c) - ν i| ≤ η i / 2) :
average (fun p : ClassPermutations P × ClassPermutations P =>
if ∃ i, η i < |selectedTwoHalfCount (D i) (A i) (B i) p /
populationSize (fun c : D i => P c) - ν i| then 1 else 0) ≤
∑ i, 1 / (2 * populationSize (fun c : D i => P c) * (η i) ^ 2) := by
classical
refine le_trans (average_indicator_exists_le_sum _) ?_
exact Finset.sum_le_sum fun i _ => selectedTwoHalfMask_rejection_le
(D i) (A i) (B i) (hn i) (hm i) (η i) (ν i) (hη i) (hmargin i)
theorem inverse_linear_mask_constant {I : Type*} [Fintype I]
(mass η : I → ℝ) (N : ℝ) :
(∑ i, 1 / (2 * (mass i * N) * (η i) ^ 2)) =
(∑ i, 1 / (2 * mass i * (η i) ^ 2)) / N := by
rw [Finset.sum_div]
apply Finset.sum_congr rfl
intro i _
rw [div_div]
congr 1
ring
theorem finite_selectedTwoHalfMask_inverse_linear {I : Type*} [Fintype I]
(D : I → Finset C) (A B : I → ∀ c, Finset (P c))
(hn : ∀ i c, c ∈ D i → 2 ≤ Fintype.card (P c))
(mass η ν : I → ℝ) (N : ℝ) (hN : 0 < N)
(hmass : ∀ i, 0 < mass i) (hη : ∀ i, 0 < η i)
(hsize : ∀ i, populationSize (fun c : D i => P c) = mass i * N)
(hmargin : ∀ i,
|totalMatchingMean (fun c : D i => A i c) (fun c : D i => B i c) /
populationSize (fun c : D i => P c) - ν i| ≤ η i / 2) :
average (fun p : ClassPermutations P × ClassPermutations P =>
if ∃ i, η i < |selectedTwoHalfCount (D i) (A i) (B i) p /
populationSize (fun c : D i => P c) - ν i| then 1 else 0) ≤
(∑ i, 1 / (2 * mass i * (η i) ^ 2)) / N := by
have hm (i : I) : 0 < populationSize (fun c : D i => P c) := by
rw [hsize]
exact mul_pos (hmass i) hN
have h := finite_selectedTwoHalfMask_rejection_le D A B hn hm η ν hη hmargin
simpa only [hsize, inverse_linear_mask_constant] using h
end ClassProducts
section CompleteSymbols
variable {P A S : Type*} [Fintype P] [DecidableEq P] [DecidableEq S]
omit [DecidableEq P] in
theorem statisticPositions_card [Fintype S]
(w : P → A) (statistic : A → S) (s : S) :
(statisticPositions w statistic s).card =
MatrixMultiplication.Foundation.wordPopulation (statistic ∘ w) s := by
unfold statisticPositions MatrixMultiplication.Foundation.wordPopulation
rw [Fintype.card_subtype]
apply congrArg Finset.card
ext i
simp
end CompleteSymbols
section OrbitFractions
variable {G X : Type*} [Group G] [MulAction G X] [Fintype G] [DecidableEq X]
theorem average_bad_shift_eq_orbit_fraction (x : X) (bad : X → Prop)
[DecidablePred bad] :
average (fun g : G => if bad (g • x) then 1 else 0) =
(((OrbitCounting.orbitSet (G := G) x).filter bad).card : ℝ) /
(OrbitCounting.orbitSet (G := G) x).card := by
rw [average_indicator_eq]
exact OrbitCounting.bad_shift_fraction x bad
end OrbitFractions
end
end MatrixMultiplication.PermutationMatching
end OAI