Proposition 8: support-sensitive subextensivity
OpenQAlgorithms.Papers.Independent.Intakethird100.P22.nonlocality_subextensiveAll 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 and be the maximum support sizes of the computed no-signaling marginals. Then
Both support sizes are at least one. Reference inputs used to compute the marginals are arbitrary and do not affect their values.
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.52, Proposition 8, (293): support dimensions, not ambient cardinalities.
Normalization and nonempty inputs imply both log arguments are at least one. Source convention: Eve keeps the dice
result (p.22, XI.B.3); CE members may depend on (z,e) -/
theorem nonlocality_subextensive {p : Box X Y A B} (c : CompleteExtension p) (x : X) (y : Y) :
squashedNonlocality c ≤ Real.logb 2 (min (aliceSupport p y) (bobSupport p x) : ℕ) := 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 alphabets , any box , any complete extension of , and every specified pair , the assertion is
A complete extension consists of positive finite indices , common nonnegative normalized no-signaling boxes , and probability weights reconstructing for every . Its positive-weight supports consist of vertices, have no proper subset supporting another finite valid decomposition, and uniquely enumerate all such minimal vertex decompositions by their mass at every box. The quantity on the left is
where , subscripts denote marginals, and . Both support counts use strict positivity; the logarithm is applied to their minimum after conversion to a real number.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.