import OAI.LinearAlgebra.MatrixMultiplication.CoppersmithWinograd.CWWindowedLeaves namespace OAI /-! Coppersmith–Winograd tensors, tensor powers and local restrictions. -/ noncomputable section namespace MatrixMultiplication.CWCompleteStatistics open CWWindowedLeaves CWLeafStatistics CWStrands AllFieldParameters open scoped BigOperators attribute [local instance] Classical.propDecidable def pairEquiv : Raw 2 ≃ (Fin 7 × Fin 7) where toFun w := (w 0, w 1) invFun u := ![u.1, u.2] left_inv w := by funext i; fin_cases i <;> rfl right_inv u := by cases u; rfl def orderedEquiv : Raw 4 ≃ ((Fin 7 × Fin 7) × (Fin 7 × Fin 7)) where toFun w := ((w 0, w 1), (w 2, w 3)) invFun u := ![u.1.1, u.1.2, u.2.1, u.2.2] left_inv w := by funext i; fin_cases i <;> rfl right_inv u := by cases u with | mk u v => cases u; cases v; rfl def twoStatistic (w : Raw 2) : Fin 6 := pairStatistic (pairEquiv w) def fourStatistic (w : Raw 4) : Fin 6 × Fin 6 := (pairStatistic (orderedEquiv w).1, pairStatistic (orderedEquiv w).2) def complementStatistic : Fin 6 ≃ Fin 6 := { toFun := kappa invFun := kappa left_inv := kappa_involution right_inv := kappa_involution } def orderedComplementStatistic : (Fin 6 × Fin 6) ≃ (Fin 6 × Fin 6) := Equiv.prodCongr complementStatistic complementStatistic theorem two_weight (w : Raw 2) : CWStrands.weight w = statisticWeight (twoStatistic w) := by rw [twoStatistic, statistic_weight] simp [CWStrands.weight, pairEquiv, Fin.sum_univ_succ] theorem four_weight (w : Raw 4) : CWStrands.weight w = statisticWeight (fourStatistic w).1 + statisticWeight (fourStatistic w).2 := by simp only [fourStatistic, statistic_weight] simp [CWStrands.weight, orderedEquiv, Fin.sum_univ_succ, Nat.add_assoc] theorem two_multiplicity (s : Fin 6) : Fintype.card {w : Raw 2 // twoStatistic w = s} = AllFieldParameters.multiplicity s := by let e : {w : Raw 2 // twoStatistic w = s} ≃ {u : Fin 7 × Fin 7 // pairStatistic u = s} := { toFun := fun w => ⟨pairEquiv w.val, w.property⟩ invFun := fun u => ⟨pairEquiv.symm u.val, by simpa [twoStatistic] using u.property⟩ left_inv := by intro w; apply Subtype.ext; simp right_inv := by intro u; apply Subtype.ext; simp } rw [Fintype.card_congr e, pair_multiplicity] theorem four_multiplicity (s : Fin 6 × Fin 6) : Fintype.card {w : Raw 4 // fourStatistic w = s} = AllFieldParameters.multiplicity s.1 * AllFieldParameters.multiplicity s.2 := by let e : {w : Raw 4 // fourStatistic w = s} ≃ {u : (Fin 7 × Fin 7) × (Fin 7 × Fin 7) // pairStatistic u.1 = s.1 ∧ pairStatistic u.2 = s.2} := { toFun := fun w => ⟨orderedEquiv w.val, congrArg Prod.fst w.property, congrArg Prod.snd w.property⟩ invFun := fun u => ⟨orderedEquiv.symm u.val, by apply Prod.ext · simpa [fourStatistic] using u.property.1 · simpa [fourStatistic] using u.property.2⟩ left_inv := by intro w; apply Subtype.ext; simp right_inv := by intro u; apply Subtype.ext; simp } rw [Fintype.card_congr e, ordered_pair_multiplicity] theorem two_complement (w : Raw 2) : twoStatistic (complementWord w) = complementStatistic (twoStatistic w) := by exact complement_statistic (pairEquiv w) theorem four_complement (w : Raw 4) : fourStatistic (complementWord w) = orderedComplementStatistic (fourStatistic w) := by apply Prod.ext · exact complement_statistic (orderedEquiv w).1 · exact complement_statistic (orderedEquiv w).2 theorem two_fixedWeight_multiplicity (a : ℕ) (s : Fin 6) (hs : statisticWeight s = a) : Fintype.card {w : Alphabet 2 a // twoStatistic w.val = s} = AllFieldParameters.multiplicity s := by rw [ExactStatisticWords.card_fixedWeight_fiber twoStatistic CWStrands.weight statisticWeight two_weight a s hs, two_multiplicity] theorem four_fixedWeight_multiplicity (a : ℕ) (s : Fin 6 × Fin 6) (hs : statisticWeight s.1 + statisticWeight s.2 = a) : Fintype.card {w : Alphabet 4 a // fourStatistic w.val = s} = AllFieldParameters.multiplicity s.1 * AllFieldParameters.multiplicity s.2 := by rw [ExactStatisticWords.card_fixedWeight_fiber fourStatistic CWStrands.weight (fun s => statisticWeight s.1 + statisticWeight s.2) four_weight a s hs, four_multiplicity] end MatrixMultiplication.CWCompleteStatistics end end OAI