Equation (20): equivalence of the endpoint-exchanged SSA equalities
OpenQAlgorithms.Papers.Independent.Intakethird100.P63.eq20_equivalentEqualitiesAll states below are positive trace-class density operators of trace one on completed complex Hilbert tensor products, represented in countable orthonormal coordinates. Finite dimensional systems are included. Entropies use natural logarithms and the convention . Every subsystem entropy occurring in an entropy difference is finite; this is the proof-supported finite-entropy reading of the source, and imposes no finite Hilbert dimension.
For every tripartite state , with formed from its actual marginals,
Thus SSA equality in one endpoint orientation is equivalent to equality in the other. This is a general entropy identity; the biorthogonal family is an application.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P63
noncomputable section
open scoped ENNReal BigOperators
namespace QAlgorithms.Papers.Independent.Intakethird100.P63
attribute [local instance] Classical.propDecidable Classical.decEq
-- Reuse the accepted nuclear trace-class, positive, trace-one predicate verbatim.
open QAlgorithms.Papers.Independent.Dependency50.P33 (IsDensity)
open QAlgorithms.Papers.Independent.Dependency50.P13 (finiteRelativeEntropy)
/-- Unnumbered (20), PDF p.8: the endpoint-exchanged SSA equalities are equivalent
for every finite-entropy tripartite density, without an ensemble premise. -/
theorem eq20_equivalentEqualities (rho : (Matrix (Fin 3 → ℕ) (Fin 3 → ℕ) ℂ)) (hrho : IsDensity rho)
(hfinite : FiniteSubsystemEntropies rho) :
clusterMutualInformation rho {0} {1} = clusterMutualInformation rho {0} {1, 2} ↔
clusterMutualInformation rho {1} {2} = clusterMutualInformation rho {0, 1} {2} := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P63
end
Read-back
What the Lean code literally says, in plain math · gpt-6.1-sol
Let be a complex kernel on admitting an entrywise expansion by square-summable vectors with , having real nonnegative finite quadratic forms, and having a summable real diagonal of sum . For , define , where and coordinate concatenation fills the complementary coordinates with . For any kernel , let be the infimum in of over representations , where are summable with sum , all are square-summable, and positive-weight vectors are unit and mutually orthogonal; zero-weight vectors are unrestricted, , and an empty infimum is . Assume for every , including the empty set. Define , with converting to , and . Then the following is an equivalence:
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.