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Add lean source and binary files (part 84)
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import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.MaskCore
import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.ChildLaws
import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.Support
import OAI.LinearAlgebra.MatrixMultiplication.Recovery.HistorySymmetry
import OAI.LinearAlgebra.MatrixMultiplication.Recovery.InheritedMaskAction
import OAI.LinearAlgebra.MatrixMultiplication.Recovery.InheritedMaskOrbitFilter
namespace OAI
/-! Finite extraction histories, inherited masks and recovery bounds. -/
noncomputable section
namespace MatrixMultiplication.AllFieldHistoryMasks
open AllFieldHistory AllFieldHistoryChildLaws AllFieldHistorySupport
open JointCanonicalization InheritedMasks PermutationMatching HistorySymmetry
open scoped BigOperators
attribute [local instance] Classical.propDecidable Classical.decEq
variable {K tick : ℕ}
theorem testedClasses_parent (allocation : Allocation) (i : MaskIndex K tick)
(c : Classes K tick) (hc : c ∈ testedClasses allocation i) : c.1 = i.1 :=
(Finset.mem_filter.mp hc).2.1
theorem rightProbability_le_one (allocation : Allocation) (side : Fin 3)
(i : MaskIndex K tick) (c : Classes K tick) (hc : c ∈ testedClasses allocation i) :
rightProbability side i c ≤ 1 := by
have hsum := rightLaw_normalized allocation 1 c.1 c.2
(positiveClasses_positive allocation i.1 c hc) side
rw [← hsum]
exact Finset.single_le_sum (fun a _ => rightLaw_nonnegative c.1 c.2 side a)
(Finset.mem_univ _)
theorem left_density_le (allocation : Allocation) {m : ℕ} (hm : 0 < m)
(ε : ℝ) (side : Fin 3) (w : Words (K := K) (tick := tick) allocation m)
(hw : childWindows allocation m ε side w) (i : MaskIndex K tick)
(c : Classes K tick) (hc : c ∈ testedClasses allocation i) :
|classDensity (wordPairLeftPositions w classStatistic (leftSymbol i)) c -
leftProbability side i c| ≤ childWidth ε i.1 := by
have hp : 0 < activeCounts allocation m c.1 c.2 :=
(activeCounts_pos_iff allocation hm c.1 c.2).2
(positiveClasses_positive allocation i.1 c hc)
have ht := (hw c).1 (leftSymbol i c)
have hh := testedClasses_parent allocation i c hc
have ht' : |empiricalLaw (classStatistic c ∘ w.left c) (leftSymbol i c) -
leftProbability side i c| ≤ childWidth ε c.1 := by
simpa only [activeLaw, activeWidth, ite_eq_left hp, leftProbability] using ht
have hd := classDensity_statisticPositions w.left classStatistic (leftSymbol i) c
change classDensity (wordPairLeftPositions w classStatistic (leftSymbol i)) c = _ at hd
rw [hd]
exact ht'.trans_eq (congrArg (childWidth ε) hh)
theorem right_density_le (allocation : Allocation) {m : ℕ} (hm : 0 < m)
(ε : ℝ) (side : Fin 3) (w : Words (K := K) (tick := tick) allocation m)
(hw : childWindows allocation m ε side w) (i : MaskIndex K tick)
(c : Classes K tick) (hc : c ∈ testedClasses allocation i) :
|classDensity (wordPairRightPositions w classStatistic (rightSymbol i)) c -
rightProbability side i c| ≤ childWidth ε i.1 := by
have hp : 0 < activeCounts allocation m c.1 c.2 :=
(activeCounts_pos_iff allocation hm c.1 c.2).2
(positiveClasses_positive allocation i.1 c hc)
have ht := (hw c).2 (rightSymbol i c)
have hh := testedClasses_parent allocation i c hc
have ht' : |empiricalLaw (classStatistic c ∘ w.right c) (rightSymbol i c) -
rightProbability side i c| ≤ childWidth ε c.1 := by
simpa only [activeLaw, activeWidth, ite_eq_left hp, rightProbability] using ht
have hd := classDensity_statisticPositions w.right classStatistic (rightSymbol i) c
change classDensity (wordPairRightPositions w classStatistic (rightSymbol i)) c = _ at hd
rw [hd]
exact ht'.trans_eq (congrArg (childWidth ε) hh)
theorem mixture_error_zero (allocation : Allocation) {m : ℕ} (hm : 0 < m)
(side : Fin 3) (i : MaskIndex K tick) :
|classProductMixture (fun c : testedClasses allocation i => Positions allocation m c.val)
(fun c => leftProbability side i c.val) (fun c => rightProbability side i c.val) -
center allocation side i| ≤ (0 : ℝ) := by
rw [selected_classProductMixture_eq_one allocation hm]
simp only [center, sub_self, abs_zero, le_refl]
theorem orbitSet_as_filter {G V : Type*} [Group G] [Fintype G] [MulAction G V]
[Fintype V] [DecidableEq V] (v : V) :
OrbitCounting.orbitSet (G := G) v =
Finset.univ.filter (fun w => ∃ g : G, g • v = w) := by
ext w
simp only [OrbitCounting.orbitSet, Finset.mem_image, Finset.mem_univ,
true_and, Finset.mem_filter]
attribute [local irreducible] activeCounts
theorem full_filter_loss_le (allocation : Allocation) {m : ℕ} (hm : 2 ≤ m)
{ε : ℝ} (hε : 0 < ε) (side : Fin 3)
(w : Words (K := K) (tick := tick) allocation m)
(hw : childWindows allocation m ε side w) :
((rejectedFilter
(fullOrbitFilter (HalfClassPermutations (Positions (K := K) (tick := tick) allocation m)) w)
(fun v => ∃ i : MaskIndex K tick,
selectedWordPairMaskBad (testedClasses allocation i) classStatistic classStatistic
(leftSymbol i) (rightSymbol i) (pairWidth ε i.1) (center allocation side i) v)).card : ℝ) /
(fullOrbitFilter
(HalfClassPermutations (Positions (K := K) (tick := tick) allocation m)) w).card ≤
lossConstant (K := K) (tick := tick) allocation ε / m := by
have hmpos : 0 < m := lt_of_lt_of_le (by decide : 0 < 2) hm
have hsize (i : MaskIndex K tick) :
populationSize (fun c : testedClasses allocation i => Positions allocation m c.val) =
selectedBasePopulation allocation (testedClasses allocation i) * m :=
selected_populationSize allocation m (testedClasses allocation i)
have hn (i : MaskIndex K tick) (c : Classes K tick)
(hc : c ∈ testedClasses allocation i) : 2 ≤ Fintype.card (Positions allocation m c) := by
exact selected_two_le allocation hm (testedClasses allocation i)
(positiveClasses_positive allocation i.1) ⟨c, hc⟩
have hmass (i : MaskIndex K tick) :
0 < selectedBasePopulation allocation (testedClasses allocation i) :=
positiveClasses_basePopulation_pos allocation i.1
have hright0 (i : MaskIndex K tick) (c : Classes K tick)
(_hc : c ∈ testedClasses allocation i) : 0 ≤ rightProbability side i c :=
rightLaw_nonnegative c.1 c.2 side _
have h := finite_selectedWordPair_full_filter_inverse_linear_of_windows
(C := Classes K tick) (P := Positions (K := K) (tick := tick) allocation m)
(X := Letters) (Y := Letters) (I := MaskIndex K tick)
(SL := fun _ c => Statistic c.1) (SR := fun _ c => Statistic c.1)
(testedClasses allocation) w (fun _ => classStatistic) (fun _ => classStatistic)
leftSymbol rightSymbol hn
(fun i => selectedBasePopulation allocation (testedClasses allocation i)) (m : ℝ)
(by exact_mod_cast hmpos) hmass hsize
(leftProbability side) (rightProbability side)
(fun i => pairWidth ε i.1) (fun i => childWidth ε i.1) (fun _ => 0)
(center allocation side) (fun i => pairWidth_pos hε i.1)
hright0 (rightProbability_le_one allocation side)
(left_density_le allocation hmpos ε side w hw)
(right_density_le allocation hmpos ε side w hw)
(mixture_error_zero allocation hmpos side) (fun _ => le_rfl)
(fun i => (div_pos (pairWidth_pos hε i.1) (by norm_num : (0 : ℝ) < 4)).le)
simpa only [lossConstant] using h
theorem orbit_loss_le (allocation : Allocation) {m : ℕ} (hm : 2 ≤ m)
{ε : ℝ} (hε : 0 < ε) (side : Fin 3)
(w : Words (K := K) (tick := tick) allocation m)
(hw : childWindows allocation m ε side w) :
(((OrbitCounting.orbitSet
(G := HalfClassPermutations (Positions (K := K) (tick := tick) allocation m)) w).filter
(fun v => ¬passes allocation m ε side v)).card : ℝ) /
(OrbitCounting.orbitSet
(G := HalfClassPermutations (Positions (K := K) (tick := tick) allocation m)) w).card ≤
lossConstant (K := K) (tick := tick) allocation ε / m := by
have heq := orbit_bad_fraction_eq_fullOrbitFilter_of_iff
(G := HalfClassPermutations (Positions (K := K) (tick := tick) allocation m)) w
(fun v => ¬passes allocation m ε side v)
(fun v => ∃ i : MaskIndex K tick,
selectedWordPairMaskBad (testedClasses allocation i) classStatistic classStatistic
(leftSymbol i) (rightSymbol i) (pairWidth ε i.1) (center allocation side i) v)
(fun v => by simp only [passes, not_forall, not_not])
exact heq.trans_le (full_filter_loss_le allocation hm hε side w hw)
end MatrixMultiplication.AllFieldHistoryMasks
end
end OAI