Observation 2: hierarchy with MI and CMI
OpenQAlgorithms.Papers.Independent.Intakethird100.P22.information_hierarchyAll input and output alphabets are finite and nonempty. Let be a normalized nonnegative bipartite non-signaling device, and let be its complete extension, with possibly input-dependent pure-member labels. All Shannon information quantities are in bits, with . Write for the maximum over honest settings of the infimum, over Eve's general measurements, of intrinsic information; intrinsic information itself minimizes classical conditional mutual information over arbitrary stochastic channels on Eve.
Write and for squashing classical mutual information and conditional mutual information, respectively, on the same complete extension and in the same max-then-inf order. Then both comparisons hold:
Each is an upper bound on the source-defined squashed intrinsic information.
Eve retains the dice result and extension output . Squashed CMI conditions on ; intrinsic-information channels may depend on both. This is the operational convention of XI.B.3 used by the proof, rather than discarding the dice result in display (7).
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P22
noncomputable section
open scoped BigOperators
namespace QAlgorithms.Papers.Independent.Intakethird100.P22
attribute [local instance] Classical.propDecidable Classical.decEq
open QAlgorithms.Papers.Independent.Advance50.P47
(Box IsCorrelation IsNoSignaling HasLocalModel correlationMixture prBox)
open QAlgorithms.Papers.Independent.Information100.P56 (IsLaw)
open QAlgorithms.Papers.Independent.Information100.P27 (shannon)
open QAlgorithms.Papers.Independent.Gap48.P25 (classicalMI)
section Devices
variable {X Y A B : Type} [Fintype X] [Fintype Y] [Fintype A] [Fintype B]
[Nonempty X] [Nonempty Y] [Nonempty A] [Nonempty B]
/-- PDF p.54, Observation 2, (311),(312): both hierarchy comparisons. Source convention: Eve keeps the dice
result (p.22, XI.B.3); CE members may depend on (z,e) -/
theorem information_hierarchy {p : Box X Y A B} (c : CompleteExtension p) :
squashedNonlocality c ≤ squashedMI c ∧ squashedNonlocality c ≤ squashedCMI c := by sorry
end Devices
end QAlgorithms.Papers.Independent.Intakethird100.P22
end
Read-back
What the Lean code literally says, in plain math · gpt-6.1-sol
For finite nonempty alphabets , any box , and any complete extension of , the assertion is
Here consists of positive finite indices , common nonnegative normalized no-signaling boxes , and probability weights reconstructing for every . Each positive-weight support consists of vertices and has no proper subset supporting another finite valid decomposition; every such minimal vertex decomposition has exactly one index with the same total mass at every box. For probability weights , put . With , define
All subscripts denote marginals obtained by summation, and ranges over a finite set of size .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.