Unnumbered equation (218): ensemble convex-roof form
OpenQAlgorithms.Papers.Independent.Intakethird100.P22.ensemble_equivalenceAll 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.
Let range over all finite ensembles of non-signaling devices in the same polytope, with nonnegative normalized weights and for every input and output. Then
The ensemble members need not be extreme, and the infimum precedes the final honest-input maximum.
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.45, (218): all-device ensemble convex-roof form; no inf/max exchange. Source convention: Eve keeps the dice
result (p.22, XI.B.3); CE members may depend on (z,e) -/
theorem ensemble_equivalence {p : Box X Y A B} (c : CompleteExtension p) :
squashedNonlocality c = ensembleForm p := by sorry
end Devices
end QAlgorithms.Papers.Independent.Intakethird100.P22
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
For finite nonempty sets , a box , and a complete extension of , the theorem asserts
A valid box has nonnegative entries summing to over both outputs at every input pair, with either party’s marginal independent of the other party’s input. The ensembles on the right range over all finite convex decompositions into valid boxes, allowing zero weights. For a finite law , , , and ; is the infimum of the latter quantity after every stochastic kernel from to an arbitrary positive finite set. The data of are positive integers and, for each , a minimal ensemble of , with member labels fixed across . Minimality means that every positive-weight member is extreme among valid boxes and that no ensemble of has support properly contained in its positive-weight support; extremality rules out any nontrivial convex decomposition into distinct valid boxes. Every minimal ensemble of , of any finite size, must agree in total weight at every box with exactly one of the indexed ensembles of .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.