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import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.Populations
import OAI.LinearAlgebra.MatrixMultiplication.FieldConstruction.ComplementSums
import Mathlib.Algebra.BigOperators.Ring.List
namespace OAI
/-! Finite extraction histories, inherited masks and recovery bounds. -/
noncomputable section
namespace MatrixMultiplication.AllFieldHistory
open AllFieldParameters
open scoped BigOperators
attribute [local instance] Classical.propDecidable Classical.decEq
def secondMass (t : Shape) : ℚ :=
2 * (positiveInitial.map (fun g => initialLaw g * stageALaw g t)).sum
def littleMass (t u : Shape) : ℚ := 2 * secondMass t * stageBLaw t u
private theorem subtype_sum_indicator {A : Type*} [Fintype A]
(P : A → Prop) [DecidablePred P] [Fintype {a // P a}] (f : A → ℝ) :
(∑ a : {a // P a}, f a.val) = ∑ a, if P a then f a else 0 := by
rw [← Finset.sum_filter]
exact (Finset.sum_subtype _ (by simp) f).symm
private theorem list_filter_sum {A : Type*} (xs : List A) (p : A → Bool)
(f : A → ℝ) :
((xs.filter p).map f).sum = (xs.map (fun a => if p a then f a else 0)).sum := by
induction xs with
| nil => simp
| cons a xs ih => cases hp : p a <;> simp [hp, ih]
private theorem list_sum_congr {A : Type*} (xs : List A) (f g : A → ℝ)
(h : ∀ a ∈ xs, f a = g a) : (xs.map f).sum = (xs.map g).sum :=
congrArg List.sum (List.map_congr_left h)
private theorem list_sum_comm {A B : Type*} (xs : List A) (ys : List B)
(f : A → B → ℝ) :
(xs.map (fun a => (ys.map (f a)).sum)).sum =
(ys.map (fun b => (xs.map (fun a => f a b)).sum)).sum := by
induction xs with
| nil => simp
| cons a xs ih => simp [ih, List.sum_map_add]
private theorem list_rat_cast {A : Type*} (xs : List A) (f : A → ℚ) :
((xs.map f).sum : ℝ) = (xs.map (fun a => (f a : ℝ))).sum := by
induction xs with
| nil => simp
| cons a xs ih => simp [ih]
theorem secondMass_cast (t : Shape) :
(secondMass t : ℝ) =
2 * (positiveInitial.map (fun g => (initialLaw g : ℝ) * (stageALaw g t : ℝ))).sum := by
simp only [secondMass, Rat.cast_mul, Rat.cast_ofNat, list_rat_cast]
theorem littleMass_cast (t u : Shape) :
(littleMass t u : ℝ) = 2 * (secondMass t : ℝ) * (stageBLaw t u : ℝ) := by
simp only [littleMass, Rat.cast_mul, Rat.cast_ofNat]
theorem initial_history_sum (K : ℕ) (f : Shape → ℝ) :
(∑ h : Initial K, (initialAmount h : ℝ) * f (initialShape h)) =
(K : ℝ) * (sortedInitial.map (fun g => (initialLaw g : ℝ) * f g)).sum := by
simp only [Fintype.sum_prod_type, initialAmount, initialShape, List.get_eq_getElem]
simp_rw [Fin.sum_univ_fun_getElem sortedInitial (fun g => (initialLaw g : ℝ) * f g)]
simp only [Finset.sum_const, Finset.card_univ, Fintype.card_fin, nsmul_eq_mul]
theorem initial_positive_sum (K : ℕ) (f : Shape → ℝ) :
(∑ h : InitialPositive K, f (initialShape h.val)) =
(K : ℝ) * (positiveInitial.map f).sum := by
rw [subtype_sum_indicator (fun h : Initial K => initialShape h ∈ positiveInitial)
(fun h => f (initialShape h))]
rw [Fintype.sum_prod_type]
change (∑ _ : Fin K, ∑ i : Fin sortedInitial.length,
if sortedInitial[i.1] ∈ positiveInitial then f sortedInitial[i.1] else 0) = _
simp_rw [Fin.sum_univ_fun_getElem sortedInitial
(fun g => if g ∈ positiveInitial then f g else 0)]
simp only [Finset.sum_const, Finset.card_univ, Fintype.card_fin, nsmul_eq_mul]
apply congrArg (fun r : ℝ => (K : ℝ) * r)
change _ = ((sortedInitial.filter positive).map f).sum
rw [list_filter_sum]
apply list_sum_congr
intro g hg
simp only [positiveInitial, List.mem_filter, hg, true_and]
private theorem stageA_parent_sum : ∀ g ∈ positiveInitial, g 0 + g 1 + g 2 = 16 := by
decide +kernel
private theorem stageA_extend_sum (g : Shape) (hg : g ∈ positiveInitial)
(f : Shape → ℝ) :
((below g).map (fun t => (stageALaw g t : ℝ) * f t)).sum =
((shapes 8).map (fun t => (stageALaw g t : ℝ) * f t)).sum := by
have he : below g = (shapes 8).filter
(fun t => t 0 ≤ g 0 && t 1 ≤ g 1 && t 2 ≤ g 2) := by
simp only [below, stageA_parent_sum g hg]
rw [he, list_filter_sum]
apply list_sum_congr
intro t ht
by_cases hb : (t 0 ≤ g 0 && t 1 ≤ g 1 && t 2 ≤ g 2) = true
· simp only [hb, ite_true]
· have hnot : t ∉ below g := by rw [he]; simp [hb]
have hz : stageALaw g t = 0 := splitLaw_outside_support _ _ g t hnot
simp [hb, hz]
theorem a_parent_history_sum {K : ℕ} (h : InitialPositive K) (f : Shape → ℝ) :
(∑ p : ASplit h × Bool, (aAmount ⟨h, p⟩ : ℝ) * f (aShape ⟨h, p⟩)) =
2 * (initialAmount h.val : ℝ) *
((below (initialShape h.val)).map
(fun t => (stageALaw (initialShape h.val) t : ℝ) * f t)).sum := by
simp only [Fintype.sum_prod_type, Fintype.sum_bool, aAmount, aShape, aSplit,
halfShape, Bool.false_eq_true, ite_false, ite_true, Rat.cast_mul,
List.get_eq_getElem]
simp only [mul_assoc, Finset.sum_add_distrib, ← Finset.mul_sum]
rw [Fin.sum_univ_fun_getElem (below (initialShape h.val))
(fun t => (stageALaw (initialShape h.val) t : ℝ) *
f (complement (initialShape h.val) t)),
Fin.sum_univ_fun_getElem (below (initialShape h.val))
(fun t => (stageALaw (initialShape h.val) t : ℝ) * f t),
stageA_complement_sum _ h.property]
ring
theorem a_history_sum_parents (K : ℕ) (f : Shape → ℝ) :
(∑ h : AfterA K, (aAmount h : ℝ) * f (aShape h)) =
(K : ℝ) * (positiveInitial.map (fun g => 2 * (initialLaw g : ℝ) *
((below g).map (fun t => (stageALaw g t : ℝ) * f t)).sum)).sum := by
rw [Fintype.sum_sigma]
simp only [a_parent_history_sum, initialAmount]
exact initial_positive_sum K (fun g => 2 * (initialLaw g : ℝ) *
((below g).map (fun t => (stageALaw g t : ℝ) * f t)).sum)
theorem a_history_sum (K : ℕ) (f : Shape → ℝ) :
(∑ h : AfterA K, (aAmount h : ℝ) * f (aShape h)) =
(K : ℝ) * ((shapes 8).map (fun t => (secondMass t : ℝ) * f t)).sum := by
rw [a_history_sum_parents]
apply congrArg (fun r : ℝ => (K : ℝ) * r)
calc
_ = (positiveInitial.map (fun g => ((shapes 8).map
(fun t => 2 * (initialLaw g : ℝ) * ((stageALaw g t : ℝ) * f t))).sum)).sum := by
apply list_sum_congr
intro g hg
rw [stageA_extend_sum g hg, List.sum_map_mul_left]
_ = ((shapes 8).map (fun t => (positiveInitial.map
(fun g => 2 * (initialLaw g : ℝ) * ((stageALaw g t : ℝ) * f t))).sum)).sum :=
list_sum_comm _ _ _
_ = _ := by
apply list_sum_congr
intro t _
rw [secondMass_cast]
calc
_ = (positiveInitial.map
(fun g => 2 * ((initialLaw g : ℝ) * (stageALaw g t : ℝ)) * f t)).sum := by
apply list_sum_congr
intro g _
ring
_ = _ := by rw [List.sum_map_mul_right, List.sum_map_mul_left]
theorem a_positive_history_sum (K : ℕ) (f : Shape → ℝ) :
(∑ h : APositive K, (aAmount h.val : ℝ) * f (aShape h.val)) =
(K : ℝ) * (positiveSecond.map (fun t => (secondMass t : ℝ) * f t)).sum := by
rw [subtype_sum_indicator (fun h : AfterA K => aShape h ∈ positiveSecond)
(fun h => (aAmount h : ℝ) * f (aShape h))]
trans ∑ h : AfterA K, (aAmount h : ℝ) *
(if aShape h ∈ positiveSecond then f (aShape h) else 0)
· apply Finset.sum_congr rfl
intro h _
split_ifs <;> simp_all
rw [a_history_sum K (fun t => if t ∈ positiveSecond then f t else 0)]
apply congrArg (fun r : ℝ => (K : ℝ) * r)
change _ = (((shapes 8).filter positive).map
(fun t => (secondMass t : ℝ) * f t)).sum
rw [list_filter_sum]
apply list_sum_congr
intro t ht
simp only [positiveSecond, List.mem_filter, ht, true_and]
split_ifs <;> simp_all
theorem b_parent_history_sum {K : ℕ} (h : APositive K) (f : Shape → ℝ) :
(∑ p : BSplit h × Bool, (bAmount ⟨h, p⟩ : ℝ) * f (bShape ⟨h, p⟩)) =
2 * (aAmount h.val : ℝ) *
((below (aShape h.val)).map
(fun u => (stageBLaw (aShape h.val) u : ℝ) * f u)).sum := by
simp only [Fintype.sum_prod_type, Fintype.sum_bool, bAmount, bShape, bSplit,
halfShape, Bool.false_eq_true, ite_false, ite_true, Rat.cast_mul,
List.get_eq_getElem]
simp only [mul_assoc, Finset.sum_add_distrib, ← Finset.mul_sum]
rw [Fin.sum_univ_fun_getElem (below (aShape h.val))
(fun u => (stageBLaw (aShape h.val) u : ℝ) *
f (complement (aShape h.val) u)),
Fin.sum_univ_fun_getElem (below (aShape h.val))
(fun u => (stageBLaw (aShape h.val) u : ℝ) * f u),
stageB_complement_sum _ h.property]
ring
theorem b_history_sum (K : ℕ) (f : Shape → Shape → ℝ) :
(∑ h : AfterB K, (bAmount h : ℝ) * f (aShape h.1.val) (bShape h)) =
(K : ℝ) * (positiveSecond.map (fun t =>
((below t).map (fun u => (littleMass t u : ℝ) * f t u)).sum)).sum := by
rw [Fintype.sum_sigma]
simp only [b_parent_history_sum]
have he : (∑ h : APositive K, 2 * (aAmount h.val : ℝ) *
((below (aShape h.val)).map
(fun u => (stageBLaw (aShape h.val) u : ℝ) * f (aShape h.val) u)).sum) =
∑ h : APositive K, (aAmount h.val : ℝ) *
(2 * ((below (aShape h.val)).map
(fun u => (stageBLaw (aShape h.val) u : ℝ) * f (aShape h.val) u)).sum) := by
apply Finset.sum_congr rfl
intro h _
ring
rw [he, a_positive_history_sum K (fun t =>
2 * ((below t).map (fun u => (stageBLaw t u : ℝ) * f t u)).sum)]
apply congrArg (fun r : ℝ => (K : ℝ) * r)
apply list_sum_congr
intro t _
calc
_ = 2 * (secondMass t : ℝ) *
((below t).map (fun u => (stageBLaw t u : ℝ) * f t u)).sum := by ring
_ = _ := by
rw [← List.sum_map_mul_left]
apply list_sum_congr
intro u _
rw [littleMass_cast]
ring
theorem b_positive_history_sum (K : ℕ) (f : Shape → Shape → ℝ) :
(∑ h : BPositive K, (bAmount h.val : ℝ) *
f (aShape h.val.1.val) (bShape h.val)) =
(K : ℝ) * (positiveSecond.map (fun t =>
(((below t).filter positive).map
(fun u => (littleMass t u : ℝ) * f t u)).sum)).sum := by
rw [subtype_sum_indicator (fun h : AfterB K => positive (bShape h) = true)
(fun h => (bAmount h : ℝ) * f (aShape h.1.val) (bShape h))]
trans ∑ h : AfterB K, (bAmount h : ℝ) *
(if positive (bShape h) then f (aShape h.1.val) (bShape h) else 0)
· apply Finset.sum_congr rfl
intro h _
split_ifs <;> simp_all
rw [b_history_sum K (fun t u => if positive u then f t u else 0)]
apply congrArg (fun r : ℝ => (K : ℝ) * r)
apply list_sum_congr
intro t _
rw [list_filter_sum]
apply list_sum_congr
intro u _
split_ifs <;> simp_all
end MatrixMultiplication.AllFieldHistory
end
end OAI