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Add lean source and binary files (part 84)
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import OAI.LinearAlgebra.MatrixMultiplication.ComplexBounds.CW75ReorderedExecution
import OAI.LinearAlgebra.MatrixMultiplication.Separation.ExecutionApproximation
namespace OAI
/-! Explicit complex square and rectangular matrix multiplication bounds. -/
noncomputable section
namespace MatrixMultiplication.CW75ReorderedFinite
open MatrixMultiplication.Foundation CW75LabelHierarchy StageHierarchyResources
open ExecutionPairingBudget CW75ReorderedWords CW75ReorderedExecution ComplexWitness
open scoped BigOperators Classical
attribute [local irreducible] CW75LabelHierarchy.retainedWords
def blocks (counts : Scalar → ℕ) (t : ℕ) : ℕ := t * ∑ a, counts a
def copies (counts : Scalar → ℕ) (t : ℕ) : ℕ :=
Fintype.card (ExactWords (fun a => t * counts a))
def rows (counts : Scalar → ℕ) (t : ℕ) : ℕ := (realize counts t).shape.rows
def inner (counts : Scalar → ℕ) (t : ℕ) : ℕ := (realize counts t).shape.inner
def columns (counts : Scalar → ℕ) (t : ℕ) : ℕ := (realize counts t).shape.columns
def rankBudget (counts : Scalar → ℕ) (t : ℕ) : ℕ :=
27 ^ blocks counts t * stageAuxiliaryBudget counts curveLabels 5 t
def order (counts : Scalar → ℕ) (t : ℕ) : ℕ :=
6 * blocks counts t * ((realize counts t).execution.order + 1) +
(realize counts t).execution.order
def degree (counts : Scalar → ℕ) (t : ℕ) : ℕ :=
18 * blocks counts t * ((realize counts t).execution.order + 1) +
(realize counts t).execution.leftDegree +
(realize counts t).execution.middleDegree +
(realize counts t).execution.rightDegree
def sourceApproximation (counts : Scalar → ℕ) (t : ℕ) :
Tensor.PolynomialApproximation (CW75InitialExecution.fullSource (blocks counts t))
(27 ^ blocks counts t) (6 * blocks counts t) (18 * blocks counts t) := by
simpa only [CW75InitialExecution.fullSource, show (3 : ℕ) ^ 3 = 27 by norm_num,
show (2 : ℕ) * 3 = 6 by norm_num, show (6 : ℕ) * 3 = 18 by norm_num] using
(CoppersmithWinograd.approximation.power 3).power (blocks counts t)
def labelEquiv (counts : Scalar → ℕ) (t : ℕ) :
Fin (copies counts t) ≃ Prefix counts t 5 :=
Fintype.equivOfCardEq ((Fintype.card_fin (copies counts t)).trans
(realize_label_card counts t).symm)
def designatedX {counts : Scalar → ℕ} {t : ℕ} (p : Prefix counts t 5) :
Coordinate counts t := longX (terminalWord p).val
def designatedY {counts : Scalar → ℕ} {t : ℕ} (p : Prefix counts t 5) :
Coordinate counts t := longY (terminalWord p).val
def designatedZ {counts : Scalar → ℕ} {t : ℕ} (p : Prefix counts t 5) :
Coordinate counts t := longZ (terminalWord p).val
theorem designated_coefficient_one (counts : Scalar → ℕ) (t : ℕ)
(p : Prefix counts t 5) :
CW75InitialExecution.fullSource (blocks counts t)
(designatedX p) (designatedY p) (designatedZ p) = 1 := by
unfold CW75InitialExecution.fullSource Tensor.power
apply Finset.prod_eq_one
intro i _
apply Finset.prod_eq_one
intro j _
have hs := CW75Primitive.original_support _ _ _
(coefficient_ne_zero ((terminalWord p).val i)) j
simp only [CoppersmithWinograd.tensor, designatedX, designatedY, designatedZ,
longX, longY, longZ]
exact ite_eq_left hs
def leftSelect (counts : Scalar → ℕ) (t : ℕ)
(u : Fin (copies counts t) × (Fin (rows counts t) × Fin (inner counts t))) :
Coordinate counts t × (Prefix counts t 5 × (realize counts t).PX) :=
(designatedX (labelEquiv counts t u.1),
(labelEquiv counts t u.1, (realize counts t).shape.left.symm u.2))
def middleSelect (counts : Scalar → ℕ) (t : ℕ)
(v : Fin (copies counts t) × (Fin (inner counts t) × Fin (columns counts t))) :
Coordinate counts t × (Prefix counts t 5 × (realize counts t).PY) :=
(designatedY (labelEquiv counts t v.1),
(labelEquiv counts t v.1, (realize counts t).shape.middle.symm v.2))
def rightSelect (counts : Scalar → ℕ) (t : ℕ)
(w : Fin (copies counts t) × (Fin (columns counts t) × Fin (rows counts t))) :
Coordinate counts t × (Prefix counts t 5 × (realize counts t).PZ) :=
(designatedZ (labelEquiv counts t w.1),
(labelEquiv counts t w.1, (realize counts t).shape.right.symm w.2))
theorem selected_output (counts : Scalar → ℕ) (t : ℕ) :
Tensor.pullback (leftSelect counts t) (middleSelect counts t) (rightSelect counts t)
(LocalMaps.originalScale (CW75InitialExecution.fullSource (blocks counts t))
(realize counts t).execution.value) =
Tensor.directSum (fun _ : Fin (copies counts t) =>
Tensor.matrixCoefficients (K := ℂ) (Fin (rows counts t))
(Fin (inner counts t)) (Fin (columns counts t))) := by
funext u v w
simp only [Tensor.pullback, LocalMaps.originalScale, leftSelect, middleSelect, rightSelect]
rw [realize_value]
simp only [MatrixCoordinates.tensor, Tensor.pullback]
by_cases h : u.1 = v.1 ∧ u.1 = w.1
· have hv : v.1 = u.1 := h.1.symm
have hw : w.1 = u.1 := h.2.symm
have hc := designated_coefficient_one counts t (labelEquiv counts t u.1)
simp only [designatedX, designatedY, designatedZ] at hc
simp only [hv, hw, designatedX, designatedY, designatedZ, hc,
Tensor.directSum, true_and, ite_true, one_mul]
simp only [rows, inner, columns,
(realize counts t).shape.left.apply_symm_apply u.2,
(realize counts t).shape.middle.apply_symm_apply v.2,
(realize counts t).shape.right.apply_symm_apply w.2]
unfold Tensor.matrixCoefficients
split_ifs <;> rfl
· have hn : ¬ (labelEquiv counts t u.1 = labelEquiv counts t v.1 ∧
labelEquiv counts t u.1 = labelEquiv counts t w.1 ∧
designatedX (labelEquiv counts t u.1) =
longX (terminalWord (labelEquiv counts t u.1)).val ∧
designatedY (labelEquiv counts t v.1) =
longY (terminalWord (labelEquiv counts t u.1)).val ∧
designatedZ (labelEquiv counts t w.1) =
longZ (terminalWord (labelEquiv counts t u.1)).val) := by
intro he
exact h ⟨(labelEquiv counts t).injective he.1,
(labelEquiv counts t).injective he.2.1⟩
simp only [Tensor.directSum, ite_eq_right h, ite_eq_right hn, mul_zero]
def approximation (counts : Scalar → ℕ) (t : ℕ) :
Tensor.PolynomialApproximation
(Tensor.directSum (fun _ : Fin (copies counts t) =>
Tensor.matrixCoefficients (K := ℂ) (Fin (rows counts t))
(Fin (inner counts t)) (Fin (columns counts t))))
(rankBudget counts t) (order counts t) (degree counts t) := by
have supported : ∀ x y z : Coordinate counts t,
¬ CW75InitialExecution.support x y z →
CW75InitialExecution.fullSource (blocks counts t) x y z = 0 := by
intro x y z hs
exact not_ne_iff.mp hs
have full := ExecutionApproximation.approximation (realize counts t).execution
(sourceApproximation counts t) supported
have selected := full.pullback (leftSelect counts t) (middleSelect counts t)
(rightSelect counts t)
rw [selected_output] at selected
simpa only [rankBudget, order, degree, realize_rankBound] using selected
theorem dimensions_positive (counts : Scalar → ℕ) (t : ℕ) :
0 < rows counts t ∧ 0 < inner counts t ∧ 0 < columns counts t :=
(realize counts t).shape_positive
theorem volume_eq_copies (counts : Scalar → ℕ) (t : ℕ) :
rows counts t * inner counts t * columns counts t = copies counts t :=
realize_volume counts t
theorem rows_pos (counts : Scalar → ℕ) (t : ℕ) : 0 < rows counts t :=
(dimensions_positive counts t).1
theorem inner_pos (counts : Scalar → ℕ) (t : ℕ) : 0 < inner counts t :=
(dimensions_positive counts t).2.1
theorem columns_pos (counts : Scalar → ℕ) (t : ℕ) : 0 < columns counts t :=
(dimensions_positive counts t).2.2
theorem copies_pos (counts : Scalar → ℕ) (t : ℕ) : 0 < copies counts t := by
rw [← volume_eq_copies]
exact Nat.mul_pos (Nat.mul_pos (rows_pos counts t) (inner_pos counts t))
(columns_pos counts t)
theorem rankBudget_pos (counts : Scalar → ℕ) (t : ℕ) : 0 < rankBudget counts t := by
apply Nat.mul_pos (pow_pos (by decide) _)
rw [← realize_rankBound]
exact lt_of_lt_of_le (by
change 0 < rows counts t * inner counts t * columns counts t
rw [volume_eq_copies]
exact copies_pos counts t) (realize_pairing_budget counts t)
theorem dimensions_eq_pairingSize (counts : Scalar → ℕ) (t : ℕ) :
rows counts t =
ConditionalLabels.stagePairingSize counts curveLabels 5 curveReaderPair .xz t ∧
inner counts t =
ConditionalLabels.stagePairingSize counts curveLabels 5 curveReaderPair .xy t ∧
columns counts t =
ConditionalLabels.stagePairingSize counts curveLabels 5 curveReaderPair .yz t :=
realize_dimensions counts t
theorem rank_power (counts : Scalar → ℕ) (t n : ℕ) :
Tensor.RankAtMost
(Tensor.power (Tensor.directSum (fun _ : Fin (copies counts t) =>
Tensor.matrixCoefficients (K := ℂ) (Fin (rows counts t))
(Fin (inner counts t)) (Fin (columns counts t)))) n)
((degree counts t * n + 1) * rankBudget counts t ^ n) :=
(approximation counts t).rank_power n
end MatrixMultiplication.CW75ReorderedFinite
end
end OAI