Information-set rate tends to symmetric private information
OpenQAlgorithms.Papers.Independent.Intakethird100.P10.wiretap_rateLet be a binary cq wiretap channel with finite nonempty registers. Its Bob and Eve marginals are and , one CPTP map degrades to for both letters, and the two Eve letter states commute. Fix . At each , use the prescribed fidelity-defined sets and put . The polar construction places its information bits on these indices, so its information rate satisfies
This is the rate of the specified index-set construction. The separate preshared-key consumption is not subtracted, and no unrestricted private-capacity optimization is asserted.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P10
noncomputable section
namespace QAlgorithms.Papers.Independent.Intakethird100.P10
open scoped BigOperators Matrix ComplexConjugate
open Filter
-- Accepted definitions, without paper-local aliases.
open QAlgorithms.Papers.Independent.Information100.P58 (basisDensity)
open QAlgorithms.Papers.Independent.Information100.P67 (squaredFidelity)
open QAlgorithms.Papers.Independent.Claimed50.P48 (indexedKrausDilation)
/-- PDF pp.5–6, Theorem 5: prescribed information-set rate along N=2^n.
This is |A|/N without subtracting the separate secret-key consumption. -/
theorem wiretap_rate {B E : Type*} [Fintype B] [DecidableEq B] [Nonempty B]
[Fintype E] [DecidableEq E] [Nonempty E]
(V : Wiretap B E) (beta : ℝ) (hpos : 0 < beta) (hbeta : beta < 1 / 2) :
Tendsto (fun n => leafProbability (informationSet V n beta)) atTop
(nhds (symmetricInformation V.bob - symmetricInformation V.eve)) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P10
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
Let be finite, nonempty sets with decidable equality. Let consist of two positive semidefinite trace-one matrices indexed by , together with a map from matrices on to matrices on admitting a finite Kraus representation , where . Define and , and assume for both Boolean values , and . Let . For any binary matrix family , define its synthesized matrices as follows: put , let be the most-significant-first -bit digits of , set if every with has , and set otherwise; put . On indices , where are Boolean words of length and are length- words in the matrix index set, set
Write , using continuous functional calculus, and for . Put . The assertion is
Both displayed membership inequalities are strict. The sequence includes , where , the bit condition is vacuous, and the transformed word is unchanged.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.