OAI/Analysis/KadisonKastler/OrderedCutMatrices.lean

GitHub source file

12 declarations, 0 contain sorry, 0 declared as axioms

Ordered matrices at free-word cuts

Subset cut matrices are lifted along the map forgetting the order of a tuple. The exact factorial fibre sizes give the required square-root factorial costs. Complementary-subset adjacency is contractive.

  1. def OAI.KadisonKastler.orderedPreservationMatrix line 29

    Source documentation

    The preservation matrix with ordered row and column labels.

    def orderedPreservationMatrix (W : Finset α) {p q : ℕ}
        (hW : W.card = p + q + 1) (e : α → H →L[ℂ] H) (P : H →L[ℂ] H) (d : ℝ) :
        CStarMatrix (OrderedLabelTuple W q) (OrderedLabelTuple W p) (H →L[ℂ] H) :=
    …

    Mentions: OAI.KadisonKastler.OrderedLabelTuple

  2. theorem OAI.KadisonKastler.norm_orderedPreservationMatrix_le line 36

    Source documentation

    Replication costs the square roots of the exact ordering multiplicities.

    theorem norm_orderedPreservationMatrix_le (W : Finset α) {p q : ℕ}
        (hW : W.card = p + q + 1) (e : α → H →L[ℂ] H)
        (he : ∀ a, IsStarProjection (e a)) (horth : ∀ a b, a ≠ b → e a * e b = 0)
        (P : H →L[ℂ] H) (hP : IsStarProjection P) {d : ℝ} (hd : 0 < d) :
        ‖orderedPreservationMatrix W hW e P d‖ ≤
          Real.sqrt (p.factorial : ℝ) * Real.sqrt (q.factorial : ℝ) *
            (1 + Real.sqrt (((p + 1 : ℕ) : ℝ) * ((q + 1 : ℕ) : ℝ)) / d) := by
    …

    Mentions: OAI.KadisonKastler.orderedPreservationMatrix

  3. theorem OAI.KadisonKastler.card_complementary_wordSubsets line 61

    Source documentation

    A subset of size q has exactly one disjoint complementary subset of size p when the ambient label set has size p + q.

    theorem card_complementary_wordSubsets (W : Finset α) (p q : ℕ)
        (hW : W.card = p + q) (A : WordSubset W q) :
        #{B : WordSubset W p | Disjoint A.val B.val} = 1 := by
    …

    Mentions: OAI.KadisonKastler.WordSubset

  4. def OAI.KadisonKastler.noPreservationSubsetMatrix line 69

    Source documentation

    The subset adjacency occurring at a cut with no preservation letter.

    def noPreservationSubsetMatrix (W : Finset α) (p q : ℕ) :
        CStarMatrix (WordSubset W q) (WordSubset W p) (H →L[ℂ] H) :=
    …

    Mentions: OAI.KadisonKastler.WordSubset

  5. theorem OAI.KadisonKastler.norm_noPreservationSubsetMatrix_le line 73
  6. def OAI.KadisonKastler.orderedNoPreservationMatrix line 94
  7. theorem OAI.KadisonKastler.orderedNoPreservationMatrix_apply line 101
  8. theorem OAI.KadisonKastler.norm_orderedNoPreservationMatrix_le line 106
  9. theorem OAI.KadisonKastler.sqrt_factorial_mul_sqrt_factorial_le line 126

    Source documentation

    Combining the square-root ordering costs never exceeds the square root of the factorial of the total number of labels.

    theorem sqrt_factorial_mul_sqrt_factorial_le (p q : ℕ) :
        Real.sqrt (p.factorial : ℝ) * Real.sqrt (q.factorial : ℝ) ≤
          Real.sqrt ((p + q).factorial : ℝ) := by
    …
  10. theorem OAI.KadisonKastler.norm_orderedNoPreservationMatrix_le_sqrt_factorial line 134
  11. theorem OAI.KadisonKastler.preservation_scalar_sqrt_le line 140
  12. theorem OAI.KadisonKastler.norm_orderedPreservationMatrix_le_sqrt_factorial line 151

    Source documentation

    The coarser form used when summing preservation cuts of the same word.

    theorem norm_orderedPreservationMatrix_le_sqrt_factorial (W : Finset α) {p q : ℕ}
        (hW : W.card = p + q + 1) (e : α → H →L[ℂ] H)
        (he : ∀ a, IsStarProjection (e a)) (horth : ∀ a b, a ≠ b → e a * e b = 0)
        (P : H →L[ℂ] H) (hP : IsStarProjection P) {d : ℝ} (hd : 0 < d) :
        ‖orderedPreservationMatrix W hW e P d‖ ≤
          Real.sqrt ((p + q).factorial : ℝ) * (1 + (p + q + 1 : ℝ) / d) := by
    …

    Mentions: OAI.KadisonKastler.orderedPreservationMatrix