Appendix A (A.28): comparison of the two Renyi differences
OpenQAlgorithms.Papers.Independent.Intakethird100.P52.renyi_difference_comparisonAll Hilbert spaces below are finite dimensional and nonzero over . A density operator is positive semidefinite with trace one. Every spectral power is zero on the kernel, including zero and negative powers. Information quantities use base-two logarithms, with ; the operator logarithms in exponential formulas are natural logarithms.
Let be a density operator on , let be an operator on without a trace constraint, and let be CPTP. Its adjoint is the Hilbert–Schmidt adjoint. Write
Assume , , and that is strict: for every . The channel is sufficient for when one CPTP map satisfies and .
For set , so . Then
This compares the sandwiched difference to a Petz-type difference at the transformed order.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P52
noncomputable section
open scoped Matrix ComplexOrder
namespace QAlgorithms.Papers.Independent.Intakethird100.P52
attribute [local instance] Classical.propDecidable Classical.decEq
open QAlgorithms.Papers.Independent.Information100.P63 (Mat)
open QAlgorithms.Papers.Independent.Dependency50.P21 (channelAdjoint petz marginalAB)
open QAlgorithms.Papers.Independent.Dependency50.P35 (tr elog maxRelative)
open QAlgorithms.Papers.Independent.Information100.P71 (supportPower)
open QAlgorithms.Papers.Independent.Renew46.P35 (HasMarkovBlocks)
/-- Appendix A, PDF p.22, equation (A.28), inheriting Proposition 20
hypotheses. Primary (1.17)/(A.17) fixes the scale despite the auxiliary typo
in (A.19); the comparison has coefficient one. -/
theorem renyi_difference_comparison {H K : Type} [Fintype H] [Fintype K]
[DecidableEq H] [DecidableEq K] [Nonempty H] [Nonempty K]
(rho sigma : Mat H) (hrho : IsDensityMatrix rho)
(hrhoPD : rho.PosDef) (hsigmaPD : sigma.PosDef)
(N : Superop H K) (hN : IsStrictChannel N)
(a : ℝ) (ha : 1 < a) :
renyiDifference ((2 * a - 1) / a) rho sigma N ≤ deltaTilde a rho sigma N := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P52
end
Read-back
What the Lean code literally says, in plain math · gpt-6.1-sol
Let be finite, nonempty index types with decidable equality. Let be positive definite complex matrices on , with positive semidefinite and of trace , and with no trace normalization required of . Let admit a finite Kraus representation satisfying , and assume that is positive definite for every positive definite . Define , where is a matrix unit. Write for spectral functional calculus using at nonzero eigenvalues and at zero eigenvalues, including at exponent ; write , and let for and otherwise. For real , define
and, for real , define
The declaration asserts, for every such real , the extended-real inequality
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.