OAI/Analysis/KadisonSimilarity/Tensor/TensorStableSpanning.lean

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7 declarations, 0 contain sorry, 0 declared as axioms

Schur--Weyl spanning in the stable range needed after taking a cofinal tail of the matrix tower. The proof uses a single column with distinct labels.

  1. theorem OAI.KadisonSimilarity.exists_permutation_of_tensor_weights line 17
  2. def OAI.KadisonSimilarity.tensorColumnTransfer line 38
  3. theorem OAI.KadisonSimilarity.tensorColumnTransfer_apply line 42
  4. theorem OAI.KadisonSimilarity.tensorColumnTransfer_column line 49
  5. theorem OAI.KadisonSimilarity.tensor_commutant_eq_zero_of_column line 60

    Source documentation

    A matrix commuting with every tensor power is determined by its column at any elementary tensor whose labels are distinct.

    theorem tensor_commutant_eq_zero_of_column
        (j : ι → α) (hj : Function.Injective j)
        (C : Matrix (ι → α) (ι → α) ℂ)
        (hC : ∀ a : Matrix α α ℂ,
          C * tupleTensorMatrix (fun _ : ι => a) =
            tupleTensorMatrix (fun _ : ι => a) * C)
        (hcolumn : ∀ f, C f j = 0) : C = 0 := by
    …

    Mentions: OAI.KadisonSimilarity.tupleTensorMatrix

  6. theorem OAI.KadisonSimilarity.tensor_commutant_spanned_by_permutations line 76

    Source documentation

    The full tensor commutant is spanned by coordinate permutations once a tuple of distinct labels is available.

    theorem tensor_commutant_spanned_by_permutations
        (j : ι → α) (hj : Function.Injective j)
        (C : Matrix (ι → α) (ι → α) ℂ)
        (hC : ∀ u : Matrix.unitaryGroup α ℂ,
          C * tupleTensorMatrix (fun _ : ι => (u : Matrix α α ℂ)) =
            tupleTensorMatrix (fun _ : ι => (u : Matrix α α ℂ)) * C) :
        ∃ c : Equiv.Perm ι → ℂ, C = ∑ π, c π • tensorPermutationMatrix (α := α) π := by
    …

    Mentions: OAI.KadisonSimilarity.tupleTensorMatrix, OAI.KadisonSimilarity.tensorPermutationMatrix

  7. theorem OAI.KadisonSimilarity.schurWeylMultilinearSpanning_of_labels line 130

    Source documentation

    The stable-range specialization of the published Schur--Weyl input.

    theorem schurWeylMultilinearSpanning_of_labels [Nonempty α]
        (j : ι → α) (hj : Function.Injective j) : SchurWeylMultilinearSpanning ι α := by
    …

    Mentions: OAI.KadisonSimilarity.SchurWeylMultilinearSpanning