OAI/InformationTheory/AmplitudeDamping/ScalarDeficit.lean
23 declarations, 0 contain sorry, 0 declared as axioms
- def
OAI.GAD.blockLambdaPlusline 22 - def
OAI.GAD.blockLambdaMinusline 25 - def
OAI.GAD.scalarDeficitline 28 - theorem
OAI.GAD.blockLambda_propertiesline 32 - def
OAI.GAD.deficitSpectrumline 46 - def
OAI.GAD.deficitSignsline 49 - def
OAI.GAD.deficitLogline 51 - theorem
OAI.GAD.deficitSpectrum_nonnegline 54 - theorem
OAI.GAD.deficitSpectrum_traceline 59 - theorem
OAI.GAD.deficitSpectrum_entropyline 65 - theorem
OAI.GAD.deficitSpectrum_logline 70 - theorem
OAI.GAD.scalarDeficit_weighted_le_of_log_leline 92Source documentation
Finite weighted scalar deficits inherit every pointwise logarithmic comparison.
theorem scalarDeficit_weighted_le_of_log_le {α : Type u_1} [Fintype α] (c x y z : α → ℝ) (hx : ∀ i, 0 ≤ x i) (hy : ∀ i, 0 ≤ y i) (hz : ∀ i, 0 ≤ z i) (hlog : ∀ t : ℝ, 0 < t → ∑ i, c i * deficitLog (x i) (y i) (z i) t ≤ 0) : ∑ i, c i * scalarDeficit (x i) (y i) (z i) ≤ 0 := by …Mentions: OAI.GAD.deficitLog, OAI.GAD.scalarDeficit
- theorem
OAI.GAD.blockLogDet_scalarline 109Source documentation
Scalar specialization of the noncommutative logdet function.
theorem blockLogDet_scalar {q d e : ℝ} (hq : 0 ≤ q) (hd : 0 < d) (he : 0 < e) : blockLogDet (Matrix.diagonal (fun _ : Fin 1 ↦ (Real.sqrt q : ℂ))) (Matrix.diagonal (fun _ ↦ (d : ℂ))) (Matrix.diagonal (fun _ ↦ (e : ℂ))) = Real.log (1 + q/(d*e)) := by …Mentions: OAI.GAD.blockLogDet
- theorem
OAI.GAD.convexOn_log_one_add_div_mulline 141 - theorem
OAI.GAD.concaveOn_deficitLog_oneline 168 - theorem
OAI.GAD.concaveOn_scalarDeficit_oneline 187 - theorem
OAI.GAD.deficitLog_monoline 219 - theorem
OAI.GAD.scalarDeficit_monoline 233 - theorem
OAI.GAD.scalarDeficit_zeroline 245 - theorem
OAI.GAD.scalarDeficit_homogeneousline 256 - theorem
OAI.GAD.scalarDeficit_perspectiveline 271 - theorem
OAI.GAD.scalarDeficit_superaddline 277 - theorem
OAI.GAD.scalarDeficit_sum_leline 308