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