OAI/LinearAlgebra/MatrixMultiplication/AuxiliarySeparation/Growth/NormalizedProfile.lean
7 declarations, 0 contain sorry, 0 declared as axioms
Positivity and rank bounds for the normalized profile
The normalization exponent is positive when the mean singleton-leg exponent
is positive. Under this hypothesis, passing to the profile preserves order,
and a rank bound r becomes the bound r ^ (1 / t).
- theorem
OAI.MatrixMultiplication.AuxiliarySeparation.Character.symmetrizedProfile_nonnegline 24 - theorem
OAI.MatrixMultiplication.AuxiliarySeparation.Character.symmetrizedProfile_posline 28 - theorem
OAI.MatrixMultiplication.AuxiliarySeparation.Character.one_le_symmetrizedProfileline 32 - theorem
OAI.MatrixMultiplication.AuxiliarySeparation.Character.symmetrizedProfile_productline 37Source documentation
Tensor products become products of normalized profile values.
theorem symmetrizedProfile_product (t : ℝ) (T : Tensor ℂ X Y Z) (S : Tensor ℂ U V W) : χ.symmetrizedProfile t (Tensor.product T S) = χ.symmetrizedProfile t T * χ.symmetrizedProfile t S := by … - theorem
OAI.MatrixMultiplication.AuxiliarySeparation.Character.symmetrizedProfile_le_iffline 45Source documentation
Positive normalization preserves the order of the underlying sixfold products.
theorem symmetrizedProfile_le_iff {t : ℝ} (ht : 0 < t) (T : Tensor ℂ X Y Z) (S : Tensor ℂ U V W) : χ.symmetrizedProfile t T ≤ χ.symmetrizedProfile t S ↔ χ.sixfoldProduct T ≤ χ.sixfoldProduct S := by … - theorem
OAI.MatrixMultiplication.AuxiliarySeparation.Character.symmetrizedProfile_le_rankline 53Source documentation
The symmetrized profile has the rank bound used in Section 5.
theorem symmetrizedProfile_le_rank {t : ℝ} (ht : 0 < t) {T : Tensor ℂ X Y Z} {r : ℕ} (h : Tensor.RankAtMost T r) : χ.symmetrizedProfile t T ≤ (r : ℝ) ^ (1 / t) := by … - theorem
OAI.MatrixMultiplication.AuxiliarySeparation.Character.mul_symmetrizedProfile_le_of_leline 67Source documentation
A factor
c ^ (6*t)in the sixfold product becomescin the profile.theorem mul_symmetrizedProfile_le_of_le {t c : ℝ} (ht : 0 < t) (hc : 0 ≤ c) (T : Tensor ℂ X Y Z) (S : Tensor ℂ U V W) (h : c ^ (6 * t) * χ.sixfoldProduct T ≤ χ.sixfoldProduct S) : c * χ.symmetrizedProfile t T ≤ χ.symmetrizedProfile t S := by …