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Add lean source and binary files (part 84)
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import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.Tick
namespace OAI
/-! Finite extraction histories, inherited masks and recovery bounds. -/
noncomputable section
namespace MatrixMultiplication.AllFieldHistoryIteration
open MatrixMultiplication.Foundation AllFieldHistory AllFieldFiniteFamily
open scoped BigOperators Classical
attribute [local instance] Classical.propDecidable Classical.decEq
section Presentation
variable {F : Type*} [Field F] {SX SY SZ X Y Z : Type}
[Fintype SX] [Fintype SY] [Fintype SZ]
{source : Tensor F SX SY SZ} {target next : Tensor F X Y Z}
private def retarget (E : Execution source target) (h : target = next) :
Execution source next where
Copies := E.Copies
copies_positive := E.copies_positive
map := {
x := E.map.x
y := E.map.y
z := E.map.z
coefficient := E.map.coefficient.trans h
}
@[simp] private theorem retarget_copies (E : Execution source target) (h : target = next) :
Fintype.card (retarget E h).Copies = Fintype.card E.Copies := rfl
end Presentation
variable {K : ℕ} (allocation : Allocation) (m : ℕ) (ε slack : ℝ)
abbrev ScheduleChoices := ∀ t : Fin (K + 2),
AllFieldHistoryTick.Choices (K := K) (tick := t.val) allocation m ε slack
def Labels (InitialTag : Type)
(chosen : ScheduleChoices (K := K) allocation m ε slack) :
(n : ℕ) → n ≤ K + 2 → Type
| 0, _ => InitialTag
| n + 1, hn =>
Labels InitialTag chosen n (Nat.le_of_succ_le hn) ×
AllFieldHistoryTick.Tags allocation m ε slack (chosen ⟨n, hn⟩)
instance labelsFintype (InitialTag : Type) [Fintype InitialTag]
(chosen : ScheduleChoices (K := K) allocation m ε slack) :
(n : ℕ) → (hn : n ≤ K + 2) →
Fintype (Labels allocation m ε slack InitialTag chosen n hn)
| 0, _ => inferInstanceAs (Fintype InitialTag)
| n + 1, hn => by
let := labelsFintype InitialTag chosen n (Nat.le_of_succ_le hn)
exact inferInstanceAs (Fintype
(Labels allocation m ε slack InitialTag chosen n (Nat.le_of_succ_le hn) ×
AllFieldHistoryTick.Tags allocation m ε slack (chosen ⟨n, hn⟩)))
theorem card_labels (InitialTag : Type) [Fintype InitialTag]
(chosen : ScheduleChoices (K := K) allocation m ε slack)
(n : ℕ) (hn : n ≤ K + 2) :
Fintype.card (Labels allocation m ε slack InitialTag chosen n hn) =
Fintype.card InitialTag * ∏ t : Fin n, ∏ _sigma : Placement,
⌊Real.exp ((m : ℝ) *
(AllFieldGroupSelection.nativeCapacity (K := K) (tick := t.val) allocation - slack))⌋₊ := by
induction n with
| zero =>
change Fintype.card InitialTag = Fintype.card InitialTag * 1
exact (Nat.mul_one _).symm
| succ n ih =>
change Fintype.card
(Labels allocation m ε slack InitialTag chosen n (Nat.le_of_succ_le hn) ×
AllFieldHistoryTick.Tags allocation m ε slack (chosen ⟨n, hn⟩)) = _
rw [Fintype.card_prod, AllFieldHistoryTick.card_tags, ih, Fin.prod_univ_castSucc]
exact Nat.mul_assoc _ _ _
abbrev Tags (InitialTag : Type)
(chosen : ScheduleChoices (K := K) allocation m ε slack) :=
Labels allocation m ε slack InitialTag chosen (K + 2) le_rfl
theorem card_tags (InitialTag : Type) [Fintype InitialTag]
(chosen : ScheduleChoices (K := K) allocation m ε slack) :
Fintype.card (Tags allocation m ε slack InitialTag chosen) =
Fintype.card InitialTag * ∏ t : Fin (K + 2), ∏ _sigma : Placement,
⌊Real.exp ((m : ℝ) *
(AllFieldGroupSelection.nativeCapacity (K := K) (tick := t.val) allocation - slack))⌋₊ :=
card_labels allocation m ε slack InitialTag chosen (K + 2) le_rfl
variable (F : Type*) [Field F] (hε : 0 < ε)
(hm : ∀ t : Fin (K + 2),
AllFieldHistoryRecovery.minimumDilation (K := K) (tick := t.val) allocation ε ≤ m)
(chosen : ScheduleChoices (K := K) allocation m ε slack)
{InitialTag : Type} [Fintype InitialTag]
(start : Execution (cwSource F K (populationLength (K := K) allocation m))
(Tensor.directSum (fun _ : InitialTag => stateTensor F (K := K) allocation m ε 0)))
def run : (n : ℕ) → (hn : n ≤ K + 2) →
Execution (cwSource F K (populationLength (K := K) allocation m))
(Tensor.directSum (fun _ : Labels allocation m ε slack InitialTag chosen n hn =>
stateTensor F (K := K) allocation m ε n))
| 0, _ => start
| n + 1, hn =>
let step := AllFieldHistoryTick.execution allocation m ε slack F hε
(hm ⟨n, hn⟩) (chosen ⟨n, hn⟩)
let operation := Execution.branchOperation
(stateTensor F (K := K) allocation m ε n)
(stateTensor F (K := K) allocation m ε (n + 1))
(run n (Nat.le_of_succ_le hn)) step.copies_positive step.map
retarget operation (by
funext x y z
simp only [Tensor.directSum]
split_ifs <;> first | rfl | contradiction)
theorem run_copies (n : ℕ) (hn : n ≤ K + 2) :
Fintype.card (run allocation m ε slack F hε hm chosen start n hn).Copies =
Fintype.card start.Copies * ∏ t : Fin n,
2 ^ (3 * AllFieldHistoryRecovery.shiftCount (K := K) (tick := t.val) allocation ε m) := by
induction n with
| zero =>
change Fintype.card start.Copies = Fintype.card start.Copies * 1
exact (Nat.mul_one _).symm
| succ n ih =>
rw [run]
erw [retarget_copies]
rw [Execution.branchOperation_copies, AllFieldHistoryTick.execution_copies,
ih, Fin.prod_univ_castSucc]
ring
def execution :
Execution (cwSource F K (populationLength (K := K) allocation m))
(Tensor.directSum (fun _ : Tags allocation m ε slack InitialTag chosen =>
stateTensor F (K := K) allocation m ε (K + 2))) :=
run allocation m ε slack F hε hm chosen start (K + 2) le_rfl
@[simp] theorem execution_copies :
Fintype.card (execution allocation m ε slack F hε hm chosen start).Copies =
Fintype.card start.Copies * ∏ t : Fin (K + 2),
2 ^ (3 * AllFieldHistoryRecovery.shiftCount (K := K) (tick := t.val) allocation ε m) :=
run_copies allocation m ε slack F hε hm chosen start (K + 2) le_rfl
end MatrixMultiplication.AllFieldHistoryIteration
end
end OAI