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import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.MaskCore
import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.BranchWeights
namespace OAI
/-! Finite extraction histories, inherited masks and recovery bounds. -/
noncomputable section
namespace MatrixMultiplication.AllFieldHistoryMaskLaws
open AllFieldHistory AllFieldHistoryChildLaws AllFieldHistorySupport
open AllFieldHistoryMasks AllFieldHistoryBranchWeights AllFieldParameters
open PermutationMatching
open scoped BigOperators
attribute [local instance] Classical.propDecidable Classical.decEq
variable {K tick : ℕ}
def parentCenter (allocation : Allocation) (side : Fin 3) (h : Active K tick)
(a b : Statistic h) : ℝ :=
∑ u : JointPopulation.Shape,
(activeCounts allocation 1 h u : ℝ) /
population allocation 1 (h.val.1.source, h.val.2) *
(leftLaw h u side a * rightLaw h u side b)
theorem center_eq_parentCenter (allocation : Allocation) (side : Fin 3)
(i : MaskIndex K tick) :
center allocation side i = parentCenter allocation side i.1 (i.2.1 i.1) (i.2.2 i.1) := by
have hw (c : testedClasses allocation i) :
classWeight (fun c : testedClasses allocation i => Positions allocation 1 c.val) c =
(activeCounts allocation 1 c.val.1 c.val.2 : ℝ) /
population allocation 1 (i.1.val.1.source, i.1.val.2) := by
rw [selected_classWeight_formula allocation (by decide : 0 < (1 : ℕ))]
simp only [selectedBasePopulation, testedClasses, positiveClasses_baseCount]
unfold center classProductMixture
simp_rw [hw]
let f : Classes K tick → ℝ := fun c =>
(activeCounts allocation 1 c.1 c.2 : ℝ) /
population allocation 1 (i.1.val.1.source, i.1.val.2) *
(leftProbability side i c * rightProbability side i c)
change (∑ c : testedClasses allocation i, f c.val) = _
rw [Finset.sum_coe_sort]
have hzero (c : Classes K tick) :
(if 0 < activeCounts allocation 1 c.1 c.2 then f c else 0) = f c := by
split_ifs with hc
· rfl
· have hz : activeCounts allocation 1 c.1 c.2 = 0 := Nat.eq_zero_of_not_pos hc
simp [f, hz]
simp only [testedClasses, positiveClasses, Finset.sum_filter, ite_and, hzero]
rw [Fintype.sum_prod_type, Fintype.sum_eq_single i.1]
· simp [f, parentCenter, leftProbability, rightProbability, leftSymbol, rightSymbol]
· intro h hh
apply Finset.sum_eq_zero
intro u _
exact ite_eq_right hh
def stageBActive (h : APositive K) (phi : Placement)
(ht : FiniteSchedule.lotTick (Work.stageB h).lot (Work.stageB h).stage = tick) :
Active K tick := ⟨(.stageB h, phi), ht⟩
theorem stageB_leftLaw_branch (h : APositive K) (phi : Placement)
(ht : FiniteSchedule.lotTick (Work.stageB h).lot (Work.stageB h).stage = tick)
(k : BSplit h) (side : Fin 3) (a : Fin 6) :
leftLaw (stageBActive h phi ht) (branchShape (.stageB h, phi) k) side a =
(littleLaw (aShape h.val) (bSplit ⟨h, k, false⟩) (phi.symm side) a : ℝ) := by
change (placedChildLawRat (.stageB h, phi) (branchShape (.stageB h, phi) k)
side false a : ℝ) = _
rw [placedChildLawRat_branchShape (.stageB h, phi) k side false]
simp [Work.childLaw, Work.splitShape, halfShape]
theorem stageB_rightLaw_branch (h : APositive K) (phi : Placement)
(ht : FiniteSchedule.lotTick (Work.stageB h).lot (Work.stageB h).stage = tick)
(k : BSplit h) (side : Fin 3) (b : Fin 6) :
rightLaw (stageBActive h phi ht) (branchShape (.stageB h, phi) k) side b =
(littleLaw (aShape h.val) (complement (aShape h.val) (bSplit ⟨h, k, false⟩))
(phi.symm side) b : ℝ) := by
change (placedChildLawRat (.stageB h, phi) (branchShape (.stageB h, phi) k)
side true b : ℝ) = _
rw [placedChildLawRat_branchShape (.stageB h, phi) k side true]
simp [Work.childLaw, Work.parentShape, Work.splitShape, halfShape]
theorem stageB_sum_laws (h : APositive K) (side : Fin 3) (a b : Fin 6) :
(∑ k : BSplit h,
stageBLaw (aShape h.val) (bSplit ⟨h, k, false⟩) *
littleLaw (aShape h.val) (bSplit ⟨h, k, false⟩) side a *
littleLaw (aShape h.val) (complement (aShape h.val) (bSplit ⟨h, k, false⟩)) side b) =
halfLaw (aShape h.val) side (a, b) := by
rw [halfLaw_positive_parent _ h.property]
unfold positiveHalfLaw
change (∑ k : Fin (below (aShape h.val)).length,
stageBLaw (aShape h.val) (below (aShape h.val))[k.val] *
littleLaw (aShape h.val) (below (aShape h.val))[k.val] side a *
littleLaw (aShape h.val) (complement (aShape h.val) (below (aShape h.val))[k.val]) side b) = _
exact Fin.sum_univ_fun_getElem (below (aShape h.val))
(fun u => stageBLaw (aShape h.val) u * littleLaw (aShape h.val) u side a *
littleLaw (aShape h.val) (complement (aShape h.val) u) side b)
theorem parentCenter_stageB (allocation : Allocation) (h : APositive K) (phi : Placement)
(ht : FiniteSchedule.lotTick (Work.stageB h).lot (Work.stageB h).stage = tick)
(side : Fin 3) (a b : Fin 6) :
parentCenter allocation side (stageBActive h phi ht) a b =
(halfLaw (aShape h.val) (phi.symm side) (a, b) : ℝ) := by
let w : PlacedWork K := (.stageB h, phi)
let f : JointPopulation.Shape → ℝ := fun u =>
leftLaw (stageBActive h phi ht) u side a * rightLaw (stageBActive h phi ht) u side b
calc
parentCenter allocation side (stageBActive h phi ht) a b =
(∑ u, (jointCounts allocation 1 w u : ℝ) * f u) /
population allocation 1 (.afterA h.val, phi) := by
unfold parentCenter
rw [Finset.sum_div]
apply Finset.sum_congr rfl
intro u _
dsimp only [activeCounts, stageBActive, w, f, Work.source]
ring
_ = (∑ k : BSplit h, (branchPopulation allocation 1 w k : ℝ) * f (branchShape w k)) /
population allocation 1 (.afterA h.val, phi) := by
rw [jointCounts, shapeCounts_weighted_sum]
rfl
_ = ∑ k : BSplit h,
(stageBLaw (aShape h.val) (bSplit ⟨h, k, false⟩) : ℝ) *
(littleLaw (aShape h.val) (bSplit ⟨h, k, false⟩) (phi.symm side) a : ℝ) *
(littleLaw (aShape h.val) (complement (aShape h.val) (bSplit ⟨h, k, false⟩))
(phi.symm side) b : ℝ) := by
rw [Finset.sum_div]
apply Finset.sum_congr rfl
intro k _
dsimp only [f, w]
rw [stageB_leftLaw_branch, stageB_rightLaw_branch]
rw [mul_div_right_comm,
stageB_branchWeight_real allocation (by decide : 0 < (1 : ℕ)) h k phi]
ring
_ = (halfLaw (aShape h.val) (phi.symm side) (a, b) : ℝ) := by
exact_mod_cast stageB_sum_laws h (phi.symm side) a b
theorem center_stageB (allocation : Allocation) (h : APositive K) (phi : Placement)
(ht : FiniteSchedule.lotTick (Work.stageB h).lot (Work.stageB h).stage = tick)
(side : Fin 3) (a b : SymbolChoice K tick) :
center allocation side (stageBActive h phi ht, a, b) =
(halfLaw (aShape h.val) (phi.symm side)
(a (stageBActive h phi ht), b (stageBActive h phi ht)) : ℝ) := by
rw [center_eq_parentCenter]
exact parentCenter_stageB allocation h phi ht side _ _
end MatrixMultiplication.AllFieldHistoryMaskLaws
end
end OAI