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import OAI.LinearAlgebra.MatrixMultiplication.Completion.Scripts
import OAI.LinearAlgebra.MatrixMultiplication.Completion.Execution
import OAI.LinearAlgebra.MatrixMultiplication.Separation.ExecutionApproximation
import OAI.LinearAlgebra.MatrixMultiplication.Tensor.ComplexExecutionPairingBudget
import OAI.LinearAlgebra.MatrixMultiplication.Separation.ComplexFiniteMMRealization
namespace OAI
/-! Readable tensor completion and its finite arithmetic realization. -/
noncomputable section
namespace MatrixMultiplication.CompletionFiniteRealization
open MatrixMultiplication.Foundation RecursiveCompletion
open scoped BigOperators Classical
theorem power_coefficient_one {X Y Z : Type*} (T : Tensor ℂ X Y Z)
(unit : ∀ x y z, T x y z ≠ 0 → T x y z = 1) (n : ℕ)
(x : Fin n → X) (y : Fin n → Y) (z : Fin n → Z)
(supported : Tensor.power T n x y z ≠ 0) : Tensor.power T n x y z = 1 := by
apply Finset.prod_eq_one
intro i hi
exact unit _ _ _ ((Finset.prod_ne_zero_iff.mp supported) i hi)
theorem complete_coefficient_one {X Y Z : Type*} (S : FlaggedTensor X Y Z)
(unit : ∀ x y z, S.tensor x y z ≠ 0 → S.tensor x y z = 1)
(center : Color) (m : ℕ) (x : Fin m → X) (y : Fin m → Y) (z : Fin m → Z)
(supported : (complete S center m).tensor x y z ≠ 0) :
(complete S center m).tensor x y z = 1 := by
rw [complete_tensor] at supported ⊢
split_ifs at supported ⊢ with hweight
· exact power_coefficient_one S.tensor unit m x y z supported
· exact False.elim (supported rfl)
theorem script_coefficient_one {X Y Z : Type*} (S : FlaggedTensor X Y Z)
(unit : ∀ x y z, S.tensor x y z ≠ 0 → S.tensor x y z = 1) (s : Script) :
∀ x y z, (s.tensor S).tensor x y z ≠ 0 → (s.tensor S).tensor x y z = 1 := by
induction s with
| base => exact unit
| step prior center m ih => exact complete_coefficient_one (prior.tensor S) ih center m
def scriptSourceApproximation {X Y Z : Type*}
[Fintype X] [Fintype Y] [Fintype Z] (S : FlaggedTensor X Y Z) {d D : ℕ}
(source : Tensor.PolynomialApproximation S.tensor 3 d D) (s : Script) (blocks : ℕ) :
Tensor.PolynomialApproximation (Tensor.power (s.tensor S).tensor blocks)
(3 ^ (s.factors * blocks)) (s.order d * blocks) (s.degree D * blocks) := by
simpa only [pow_mul] using (s.approximation S source).power blocks
open CompletionHierarchyWords CompletionExecution ExecutionPairingBudget
variable {A X Y Z : Type} [Fintype A]
variable (H : ReadableHierarchy A X Y Z) (counts : A → ℕ) (t : ℕ)
def blocks : ℕ := t * ∑ a, counts a
def copies : ℕ := Fintype.card (Prefix H counts t H.depth)
def rows : ℕ := (realize H counts t).shape.rows
def inner : ℕ := (realize H counts t).shape.inner
def columns : ℕ := (realize H counts t).shape.columns
def order (d : ℕ) : ℕ :=
d * blocks counts t * ((realize H counts t).execution.order + 1) +
(realize H counts t).execution.order
def degree (D : ℕ) : ℕ :=
D * blocks counts t * ((realize H counts t).execution.order + 1) +
(realize H counts t).execution.leftDegree +
(realize H counts t).execution.middleDegree +
(realize H counts t).execution.rightDegree
def labelEquiv : Fin (copies H counts t) ≃ Prefix H counts t H.depth :=
(Fintype.equivFin _).symm
variable (complete : Function.Injective (labelRecordOf H.labels H.depth))
def designatedX (p : Prefix H counts t H.depth) : Coordinate X counts t :=
longX H (terminalWord H complete p).val
def designatedY (p : Prefix H counts t H.depth) : Coordinate Y counts t :=
longY H (terminalWord H complete p).val
def designatedZ (p : Prefix H counts t H.depth) : Coordinate Z counts t :=
longZ H (terminalWord H complete p).val
theorem leading_shape
(x : Coordinate X counts t × (Prefix H counts t H.depth × (realize H counts t).PX))
(y : Coordinate Y counts t × (Prefix H counts t H.depth × (realize H counts t).PY))
(z : Coordinate Z counts t × (Prefix H counts t H.depth × (realize H counts t).PZ)) :
(realize H counts t).execution.value x y z =
if x.2.1 = y.2.1 ∧ x.2.1 = z.2.1 ∧
x.1 = designatedX H counts t complete x.2.1 ∧
y.1 = designatedY H counts t complete x.2.1 ∧
z.1 = designatedZ H counts t complete x.2.1
then (realize H counts t).shape.tensor x.2.2 y.2.2 z.2.2 else 0 := by
rw [(realize H counts t).normal]
simp only [prefixValue, terminal_eligible_iff H complete,
designatedX, designatedY, designatedZ]
rfl
def leftSelect
(u : Fin (copies H counts t) × (Fin (rows H counts t) × Fin (inner H counts t))) :
Coordinate X counts t × (Prefix H counts t H.depth × (realize H counts t).PX) :=
(designatedX H counts t complete (labelEquiv H counts t u.1),
(labelEquiv H counts t u.1, (realize H counts t).shape.left.symm u.2))
def middleSelect
(v : Fin (copies H counts t) × (Fin (inner H counts t) × Fin (columns H counts t))) :
Coordinate Y counts t × (Prefix H counts t H.depth × (realize H counts t).PY) :=
(designatedY H counts t complete (labelEquiv H counts t v.1),
(labelEquiv H counts t v.1, (realize H counts t).shape.middle.symm v.2))
def rightSelect
(w : Fin (copies H counts t) × (Fin (columns H counts t) × Fin (rows H counts t))) :
Coordinate Z counts t × (Prefix H counts t H.depth × (realize H counts t).PZ) :=
(designatedZ H counts t complete (labelEquiv H counts t w.1),
(labelEquiv H counts t w.1, (realize H counts t).shape.right.symm w.2))
theorem designated_coefficient_one (T : Tensor ℂ X Y Z)
(unit : ∀ a, T (H.x a) (H.y a) (H.z a) = 1)
(p : Prefix H counts t H.depth) :
Tensor.power T (blocks counts t) (designatedX H counts t complete p)
(designatedY H counts t complete p) (designatedZ H counts t complete p) = 1 := by
apply Finset.prod_eq_one
intro i _
exact unit ((terminalWord H complete p).val i)
theorem selected_output (T : Tensor ℂ X Y Z)
(unit : ∀ a, T (H.x a) (H.y a) (H.z a) = 1) :
Tensor.pullback (leftSelect H counts t complete) (middleSelect H counts t complete)
(rightSelect H counts t complete)
(LocalMaps.originalScale (Tensor.power T (blocks counts t))
(realize H counts t).execution.value) =
Tensor.directSum (fun _ : Fin (copies H counts t) =>
Tensor.matrixMultiplication (rows H counts t) (inner H counts t) (columns H counts t)) := by
funext u v w
simp only [Tensor.pullback, LocalMaps.originalScale, leftSelect, middleSelect, rightSelect]
rw [leading_shape H counts t complete]
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
simp only [hv, hw, designated_coefficient_one H counts t complete T unit,
Tensor.directSum, true_and, ite_true, one_mul,
Tensor.matrixMultiplication_eq_matrixCoefficients, rows, inner, columns]
rw [(realize H counts t).shape.left.apply_symm_apply u.2,
(realize H counts t).shape.middle.apply_symm_apply v.2,
(realize H counts t).shape.right.apply_symm_apply w.2]
· have hn : ¬ (labelEquiv H counts t u.1 = labelEquiv H counts t v.1 ∧
labelEquiv H counts t u.1 = labelEquiv H counts t w.1 ∧
True ∧
designatedY H counts t complete (labelEquiv H counts t v.1) =
designatedY H counts t complete (labelEquiv H counts t u.1) ∧
designatedZ H counts t complete (labelEquiv H counts t w.1) =
designatedZ H counts t complete (labelEquiv H counts t u.1)) := by
intro he
exact h ⟨(labelEquiv H counts t).injective he.1,
(labelEquiv H counts t).injective he.2.1⟩
simp only [Tensor.directSum, ite_eq_right h, ite_eq_right hn, mul_zero]
theorem dimensions_positive :
0 < rows H counts t ∧ 0 < inner H counts t ∧ 0 < columns H counts t :=
(realize H counts t).shape_positive
include complete in
theorem volume_eq_copies :
rows H counts t * inner H counts t * columns H counts t = copies H counts t :=
(realize_volume H counts t complete).trans (realize_label_card H counts t complete).symm
include complete in
theorem copies_pos : 0 < copies H counts t := by
rw [← volume_eq_copies H counts t complete]
exact Nat.mul_pos (Nat.mul_pos (dimensions_positive H counts t).1
(dimensions_positive H counts t).2.1) (dimensions_positive H counts t).2.2
theorem auxiliaryRank_pos : 0 < (realize H counts t).execution.rankBound :=
lt_of_lt_of_le
(Nat.mul_pos (Nat.mul_pos (dimensions_positive H counts t).1
(dimensions_positive H counts t).2.1) (dimensions_positive H counts t).2.2)
(realize H counts t).pairing_budget
variable [Fintype X] [Fintype Y] [Fintype Z]
def sourceApproximation {T : Tensor ℂ X Y Z} {factors d D : ℕ}
(source : Tensor.PolynomialApproximation T (3 ^ factors) d D) :
Tensor.PolynomialApproximation (Tensor.power T (blocks counts t))
(3 ^ (factors * blocks counts t)) (d * blocks counts t) (D * blocks counts t) := by
simpa only [pow_mul] using source.power (blocks counts t)
def approximation {T : Tensor ℂ X Y Z} {factors d D : ℕ}
(source : Tensor.PolynomialApproximation T (3 ^ factors) d D)
(supported : ∀ x y z, T x y z ≠ 0 → ∃ a, H.x a = x ∧ H.y a = y ∧ H.z a = z)
(unit : ∀ a, T (H.x a) (H.y a) (H.z a) = 1) :
Tensor.PolynomialApproximation
(Tensor.directSum (fun _ : Fin (copies H counts t) =>
Tensor.matrixMultiplication (rows H counts t) (inner H counts t) (columns H counts t)))
(3 ^ (factors * blocks counts t) * (realize H counts t).execution.rankBound)
(order H counts t d) (degree H counts t D) := by
have hs : ∀ x y z, ¬ support H counts t x y z →
Tensor.power T (blocks counts t) x y z = 0 := by
intro x y z outside
by_contra nonzero
apply outside
intro i
exact supported _ _ _ ((Finset.prod_ne_zero_iff.mp nonzero) i (Finset.mem_univ i))
have full := ExecutionApproximation.approximation (realize H counts t).execution
(sourceApproximation counts t source) hs
have selected := full.pullback (leftSelect H counts t complete)
(middleSelect H counts t complete) (rightSelect H counts t complete)
rw [selected_output H counts t complete T unit] at selected
exact selected
def realization {T : Tensor ℂ X Y Z} {factors d D : ℕ}
(source : Tensor.PolynomialApproximation T (3 ^ factors) d D)
(supported : ∀ x y z, T x y z ≠ 0 → ∃ a, H.x a = x ∧ H.y a = y ∧ H.z a = z)
(unit : ∀ a, T (H.x a) (H.y a) (H.z a) = 1)
(factors_pos : 0 < factors) (blocks_pos : 0 < blocks counts t) : FiniteMMRealization where
occurrences := factors * blocks counts t
multiplicity := copies H counts t
auxiliaryRank := (realize H counts t).execution.rankBound
rows := rows H counts t
inner := inner H counts t
columns := columns H counts t
occurrences_pos := Nat.mul_pos factors_pos blocks_pos
multiplicity_pos := copies_pos H counts t complete
auxiliaryRank_pos := auxiliaryRank_pos H counts t
rows_pos := (dimensions_positive H counts t).1
inner_pos := (dimensions_positive H counts t).2.1
columns_pos := (dimensions_positive H counts t).2.2
order := order H counts t d
degree := degree H counts t D
approximation := approximation H counts t complete source supported unit
section Projections
variable {T : Tensor ℂ X Y Z} {factors d D : ℕ}
variable (source : Tensor.PolynomialApproximation T (3 ^ factors) d D)
variable (supported : ∀ x y z, T x y z ≠ 0 →
∃ a, H.x a = x ∧ H.y a = y ∧ H.z a = z)
variable (unit : ∀ a, T (H.x a) (H.y a) (H.z a) = 1)
variable (factors_pos : 0 < factors) (blocks_pos : 0 < blocks counts t)
@[simp] theorem realization_occurrences :
(realization H counts t complete source supported unit factors_pos blocks_pos).occurrences =
factors * blocks counts t := rfl
@[simp] theorem realization_multiplicity :
(realization H counts t complete source supported unit factors_pos blocks_pos).multiplicity =
copies H counts t := rfl
@[simp] theorem realization_auxiliaryRank :
(realization H counts t complete source supported unit factors_pos blocks_pos).auxiliaryRank =
StageHierarchyResources.stageAuxiliaryBudget counts H.labels H.depth t :=
realize_rankBound H counts t
@[simp] theorem realization_rows :
(realization H counts t complete source supported unit factors_pos blocks_pos).rows =
rows H counts t := rfl
@[simp] theorem realization_inner :
(realization H counts t complete source supported unit factors_pos blocks_pos).inner =
inner H counts t := rfl
@[simp] theorem realization_columns :
(realization H counts t complete source supported unit factors_pos blocks_pos).columns =
columns H counts t := rfl
@[simp] theorem realization_volume :
(realization H counts t complete source supported unit factors_pos blocks_pos).rates.volume =
copies H counts t :=
volume_eq_copies H counts t complete
end Projections
end MatrixMultiplication.CompletionFiniteRealization
end
end OAI