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Add lean source and binary files (part 84)
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import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.Schedule
import OAI.LinearAlgebra.MatrixMultiplication.FieldConstruction.ShapeEncoding
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 shapeCounts {I : Type*} [Fintype I] (code : I → JointPopulation.Shape)
(weight : I → ℕ) (u : JointPopulation.Shape) : ℕ :=
∑ i, if code i = u then weight i else 0
theorem shapeCounts_sum {I : Type*} [Fintype I] (code : I → JointPopulation.Shape)
(weight : I → ℕ) : ∑ u, shapeCounts code weight u = ∑ i, weight i := by
unfold shapeCounts
rw [Finset.sum_comm]
simp
theorem shapeCounts_positive {I : Type*} [Fintype I] (code : I → JointPopulation.Shape)
(weight : I → ℕ) (u : JointPopulation.Shape) (hu : 0 < shapeCounts code weight u) :
∃ i, code i = u ∧ 0 < weight i := by
by_contra hn
have hz : shapeCounts code weight u = 0 := by
apply Finset.sum_eq_zero
intro i hi
split_ifs with heq
· by_contra hne
exact hn ⟨i, heq, Nat.pos_of_ne_zero hne⟩
· rfl
omega
theorem shapeCounts_at {I : Type*} [Fintype I] (code : I → JointPopulation.Shape)
(weight : I → ℕ) (hi : Function.Injective code) (i : I) :
shapeCounts code weight (code i) = weight i := by
unfold shapeCounts
simp only [hi.eq_iff]
simp
theorem Work.parentShape_spec {K : ℕ} (w : Work K) :
ShapeBounded w.parentShape ∧ shapeTotal w.parentShape = 4 * w.halfLength := by
cases w with
| stageA h => exact positiveInitial_shape_spec _ h.property
| stageB h => exact positiveSecond_shape_spec _ h.property
| stageC h =>
exact ⟨mem_shapes_bounded (bShape_size h.1.val) (by omega),
mem_shapes_total (bShape_size h.1.val)⟩
theorem Work.splitShape_spec {K : ℕ} (w : Work K) (b : w.Branch) :
ShapeBounded (w.splitShape b) ∧ shapeTotal (w.splitShape b) = 2 * w.halfLength := by
cases w with
| stageA h => exact stageA_shape_spec _ _ h.property (aSplit_mem ⟨h, b, false⟩)
| stageB h => exact stageB_shape_spec _ _ h.property (bSplit_mem ⟨h, b, false⟩)
| stageC h => exact stageC_shape_spec _ (bShape_size h.1.val) h.1.property b
theorem Work.splitShape_le {K : ℕ} (w : Work K) (b : w.Branch) :
∀ i, w.splitShape b i ≤ w.parentShape i := by
cases w with
| stageA h => exact below_le (aSplit_mem ⟨h, b, false⟩)
| stageB h => exact below_le (bSplit_mem ⟨h, b, false⟩)
| stageC h => exact below_le (stageCAtom_mem _ (bShape_size h.1.val) h.1.property b)
theorem Work.splitShape_injective {K : ℕ} (w : Work K) :
Function.Injective w.splitShape := by
cases w with
| stageA h => exact stageA_get_injective _ h.property
| stageB h => exact stageB_get_injective _ h.property
| stageC h => exact stageCAtom_injective _ (bShape_size h.1.val) h.1.property
def branchShape {K : ℕ} (w : PlacedWork K) (b : w.1.Branch) : JointPopulation.Shape :=
encodePhysicalShape w.2 (w.1.splitShape b) (w.1.splitShape_spec b).1
theorem branchShape_injective {K : ℕ} (w : PlacedWork K) :
Function.Injective (branchShape w) := by
intro a b hab
exact w.1.splitShape_injective (encodePhysicalShape_inj w.2 hab)
def jointCounts {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) : JointPopulation.Shape → ℕ :=
shapeCounts (branchShape w) (branchPopulation allocation dilation w)
def activeCounts {K tick : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : Active K tick) : JointPopulation.Shape → ℕ := jointCounts allocation dilation h.val
def activeParentShape {K tick : ℕ} (h : Active K tick) : Shape :=
physicalShape h.val.2 h.val.1.parentShape
def activeHalfLength {K tick : ℕ} (h : Active K tick) : ℕ := h.val.1.halfLength
theorem jointCounts_sum {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) : ∑ u, jointCounts allocation dilation w u =
population allocation dilation (w.1.source, w.2) := by
rw [jointCounts, shapeCounts_sum, branchPopulation_sum]
theorem jointCounts_at {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) (b : w.1.Branch) :
jointCounts allocation dilation w (branchShape w b) =
branchPopulation allocation dilation w b :=
shapeCounts_at _ _ (branchShape_injective w) b
theorem jointCounts_support_sum {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) (u : JointPopulation.Shape)
(hu : 0 < jointCounts allocation dilation w u) :
u.1.val + u.2.1.val + u.2.2.val = 2 * w.1.halfLength := by
obtain ⟨b, rfl, _⟩ := shapeCounts_positive _ _ u hu
exact (encodePhysicalShape_total _ _ _).trans (w.1.splitShape_spec b).2
theorem jointCounts_support_le {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) (u : JointPopulation.Shape)
(hu : 0 < jointCounts allocation dilation w u) (s : Fin 3) :
(JointPopulation.shapeSide s u).val ≤ physicalShape w.2 w.1.parentShape s := by
obtain ⟨b, rfl, _⟩ := shapeCounts_positive _ _ u hu
rw [branchShape, encodePhysicalShape_side]
exact w.1.splitShape_le b (w.2.symm s)
def shapePositionMap {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) :
(Σ b : w.1.Branch, Fin (branchPopulation allocation dilation w b)) →
(Σ u : JointPopulation.Shape, Fin (jointCounts allocation dilation w u)) :=
fun p => ⟨branchShape w p.1,
⟨p.2.val, by rw [jointCounts_at]; exact p.2.isLt⟩⟩
theorem shapePositionMap_injective {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) : Function.Injective (shapePositionMap allocation dilation w) := by
rintro ⟨b, i⟩ ⟨c, j⟩ heq
have hbc : b = c := branchShape_injective w (congrArg Sigma.fst heq)
subst c
have hij : i.val = j.val := congrArg (fun p => p.2.val) heq
have : i = j := Fin.ext hij
subst j
rfl
theorem shapePositionMap_surjective {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) : Function.Surjective (shapePositionMap allocation dilation w) := by
rintro ⟨u, i⟩
obtain ⟨b, heq, hb⟩ := shapeCounts_positive _ _ u (Nat.zero_lt_of_lt i.isLt)
subst u
refine ⟨⟨b, ⟨i.val, ?_⟩⟩, ?_⟩
· simpa only [jointCounts_at] using i.isLt
· rfl
def branchPositionEquiv {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) :
(Σ u : JointPopulation.Shape, Fin (jointCounts allocation dilation w u)) ≃
(Σ b : w.1.Branch, Fin (branchPopulation allocation dilation w b)) :=
(Equiv.ofBijective (shapePositionMap allocation dilation w)
⟨shapePositionMap_injective allocation dilation w,
shapePositionMap_surjective allocation dilation w⟩).symm
@[simp] theorem branchPositionEquiv_shape {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K)
(p : Σ u : JointPopulation.Shape, Fin (jointCounts allocation dilation w u)) :
branchShape w (branchPositionEquiv allocation dilation w p).1 = p.1 := by
exact congrArg Sigma.fst ((branchPositionEquiv allocation dilation w).symm_apply_apply p)
def rootShape {K : ℕ} (h : Initial K) (phi : Placement) : JointPopulation.Shape :=
encodePhysicalShape phi (initialShape h) (root_shape_spec _ (initialShape_mem h)).1
def initialJointCounts {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(j : Fin K) : JointPopulation.Shape → ℕ :=
shapeCounts (fun p : Fin sortedInitial.length × Placement => rootShape (j, p.1) p.2)
(fun p => population allocation dilation (.initial (j, p.1), p.2))
theorem initialJointCounts_sum {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(j : Fin K) : ∑ u, initialJointCounts allocation dilation j u =
populationLength (K := K) allocation dilation := by
rw [initialJointCounts, shapeCounts_sum, Fintype.sum_prod_type]
exact initial_population_sum allocation dilation j
theorem initialJointCounts_support {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(j : Fin K) (u : JointPopulation.Shape)
(hu : 0 < initialJointCounts allocation dilation j u) :
u.1.val + u.2.1.val + u.2.2.val = 16 := by
obtain ⟨p, rfl, _⟩ := shapeCounts_positive _ _ u hu
exact (encodePhysicalShape_total _ _ _).trans (root_shape_spec _ (initialShape_mem _)).2
end MatrixMultiplication.AllFieldHistory
end
end OAI