Real dimensions of tensor-factor quotients
OpenQAlgorithms.Papers.Independent.Intakethird100.P39.tensor_quotient_dimensionsLet be integers. Write for the real vector space of skew-Hermitian traceless complex matrices. For and , the one-factor subgroup has tangent image ; the two-factor subgroup has tangent image consisting of sums . The real dimensions are
These count actual real tangent dimensions. Finite central kernels of the tensor-product subgroup do not alter these dimensions. The formal statement uses the corresponding quotient vector spaces, with subgroup images defined independently of the displayed answers.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P39
namespace QAlgorithms.Papers.Independent.Intakethird100.P39
open scoped BigOperators
/-- PDF p.4, Eqs. (4)-(6): real group and homogeneous-space dimensions,
computed from their tangent spaces rather than defined by the answer. -/
theorem tensor_quotient_dimensions (m mu : ℕ) (hmu : mu ≤ m) :
Module.finrank ℝ (specialUnitaryTangent (Fin (2 ^ m))) = 4 ^ m - 1 ∧
Module.finrank ℝ (OneFactorQuotient (2 ^ (m - mu)) (2 ^ mu)) =
4 ^ (m - mu) * (4 ^ mu - 1) ∧
Module.finrank ℝ (TwoFactorQuotient (2 ^ (m - mu)) (2 ^ mu)) =
(4 ^ (m - mu) - 1) * (4 ^ mu - 1) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P39
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What the Lean code literally says, in plain math · gpt-6.1-sol
For natural numbers satisfying , put and . For any finite index set , write , regarded as a real vector space, and write when . On the product index set , let and , where is conjugate transpose and is the Kronecker product. All three real-dimension equalities hold:
The arithmetic on the right is natural-number arithmetic, with subtraction truncated at zero; the hypothesis ensures is ordinary nonnegative subtraction. The endpoints and are included: for both quotient dimensions are zero, while for they are respectively and zero. In particular, forces and all three dimensions are zero.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.