OAI/Analysis/KadisonKastler/OrderedCutMatrices.lean
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.
- def
OAI.KadisonKastler.orderedPreservationMatrixline 29Source 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
- theorem
OAI.KadisonKastler.norm_orderedPreservationMatrix_leline 36Source 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 … - theorem
OAI.KadisonKastler.card_complementary_wordSubsetsline 61Source documentation
A subset of size
qhas exactly one disjoint complementary subset of sizepwhen the ambient label set has sizep + 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
- def
OAI.KadisonKastler.noPreservationSubsetMatrixline 69Source 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
- theorem
OAI.KadisonKastler.norm_noPreservationSubsetMatrix_leline 73 - def
OAI.KadisonKastler.orderedNoPreservationMatrixline 94 - theorem
OAI.KadisonKastler.orderedNoPreservationMatrix_applyline 101 - theorem
OAI.KadisonKastler.norm_orderedNoPreservationMatrix_leline 106 - theorem
OAI.KadisonKastler.sqrt_factorial_mul_sqrt_factorial_leline 126Source 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 … - theorem
OAI.KadisonKastler.norm_orderedNoPreservationMatrix_le_sqrt_factorialline 134 - theorem
OAI.KadisonKastler.preservation_scalar_sqrt_leline 140 - theorem
OAI.KadisonKastler.norm_orderedPreservationMatrix_le_sqrt_factorialline 151Source 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 …