OAI/Analysis/KadisonKastler/RowReplication.lean
7 declarations, 0 contain sorry, 0 declared as axioms
The diagonal replication of a row and the matrix formula for averaging.
- def
OAI.KadisonKastler.rowReplicationline 16Source documentation
Place the same row along the diagonal of a rectangular matrix.
def rowReplication (r : κ → A) : CStarMatrix ι (ι × κ) A := …
- theorem
OAI.KadisonKastler.rowReplication_applyline 20 - theorem
OAI.KadisonKastler.rowReplication_mul_starline 24Source documentation
Replicating a normalized row gives a coisometry.
theorem rowReplication_mul_star (r : κ → A) (hr : ∑ k, r k * star (r k) = 1) : rowReplication (ι := ι) r * (rowReplication (ι := ι) r).conjTranspose = 1 := by …Mentions: OAI.KadisonKastler.rowReplication
- theorem
OAI.KadisonKastler.mul_rowReplication_applyline 34Source documentation
Multiplication by the replicated row appends its entries.
theorem mul_rowReplication_apply (X : CStarMatrix τ ι A) (r : κ → A) (i : τ) (jk : ι × κ) : (X * rowReplication (ι := ι) r : CStarMatrix τ (ι × κ) A) i jk = X i jk.1 * r jk.2 := by …Mentions: OAI.KadisonKastler.rowReplication
- theorem
OAI.KadisonKastler.finiteRightAverage_matrixline 41Source documentation
The same row average operates at every matrix level.
theorem finiteRightAverage_matrix (r : κ → A) (F : A →ₗ[ℂ] A) (X : CStarMatrix τ ι A) : CStarMatrix.mapₗ (finiteRightAverage r F) X = CStarMatrix.mapₗ F (X * rowReplication r) * (rowReplication r).conjTranspose := by …Mentions: OAI.KadisonKastler.finiteRightAverage, OAI.KadisonKastler.rowReplication
- theorem
OAI.KadisonKastler.rowReplication_norm_boundsline 57 - theorem
OAI.KadisonKastler.CompletelyBoundedBy.finiteRightAverageline 66Source documentation
Finite normalized row averages contract the complete norm.
theorem CompletelyBoundedBy.finiteRightAverage {F : A →ₗ[ℂ] A} {c : ℝ} (hF : CompletelyBoundedBy F c) (hc : 0 ≤ c) (r : κ → A) (hr : ∑ k, r k * star (r k) = 1) : CompletelyBoundedBy (finiteRightAverage r F) c := by …Mentions: OAI.KadisonKastler.CompletelyBoundedBy