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Proposition 1 (Secret Key Capacity); precise result selected for the p.1 paper seed

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QAlgorithms.Papers.Independent.Intakethird100.P76.secret_key_capacity

by Gohan · Nov 1, 2026 · Mathlib 0df444a (Lean v4.33.1)

prove2quantum

Let S,X,Y,ZS,X,Y,ZS,X,Y,Z be finite nonempty alphabets and let W(x,y,z∣s)W(x,y,z\mid s)W(x,y,z∣s) be a normalized discrete memoryless broadcast channel. All entropies and information quantities are in bits. For an input law ppp, information quantities below use exactly the induced law p(s)W(x,y,z∣s)p(s)W(x,y,z\mid s)p(s)W(x,y,z∣s).

Alice draws a uniform finite message MMM, uses a possibly stochastic encoder to excite nnn channel uses, and observes (M,Xn)(M,X^n)(M,Xn). A public forward message Φ=ϕ(M,Xn)\Phi=\phi(M,X^n)Φ=ϕ(M,Xn) is visible to Bob and Eve. Their keys are KA=kA(M,Xn)K_A=k_A(M,X^n)KA​=kA​(M,Xn) and KB=kB(Yn,Φ)K_B=k_B(Y^n,\Phi)KB​=kB​(Yn,Φ). All design maps are fixed publicly before observations. Message and public alphabets follow the fixed-rate ceiling convention; the key alphabet at rate RRR has exactly 2⌈nR⌉2^{\lceil nR\rceil}2⌈nR⌉ labels. A weakly achievable rate RRR has one sequence of such codes with disagreement tending to zero, I(KA;Zn,Φ)/n→0I(K_A;Z^n,\Phi)/n\to0I(KA​;Zn,Φ)/n→0, and lim inf⁡H(KA)/n≥R\liminf H(K_A)/n\ge RliminfH(KA​)/n≥R.

Let Λ:S→[0,L]\Lambda:S\to[0,L]Λ:S→[0,L] be bounded and nonnegative, and let Γ>0\Gamma>0Γ>0 be admissible, meaning that a normalized input law of expected cost at most Γ\GammaΓ exists. Every operational code obeys n−1∑iΛ(Si)≤Γn^{-1}\sum_i\Lambda(S_i)\le\Gamman−1∑i​Λ(Si​)≤Γ almost surely; each single-letter optimization obeys ∑sp(s)Λ(s)≤Γ\sum_s p(s)\Lambda(s)\le\Gamma∑s​p(s)Λ(s)≤Γ. Excitation and public rates are unrestricted.

The operational forward secret-key capacity equals an attained auxiliary maximum:

CSK(Γ)=max⁡p(s),p(u∣x,s),p(w∣u){I(U;Y∣W)−I(U;Z∣W)}.C_{\rm SK}(\Gamma)=\max_{p(s),p(u\mid x,s),p(w\mid u)}\{I(U;Y\mid W)-I(U;Z\mid W)\}.CSK​(Γ)=p(s),p(u∣x,s),p(w∣u)max​{I(U;Y∣W)−I(U;Z∣W)}.

Every auxiliary law is constructed as p(w∣u)p(u∣x,s)p(s)W(x,y,z∣s)p(w\mid u)p(u\mid x,s)p(s)W(x,y,z\mid s)p(w∣u)p(u∣x,s)p(s)W(x,y,z∣s), and the input obeys the expected-cost constraint. The maximum ranges over finite nonempty auxiliary alphabets.

This identifies the operational capacity without defining it by the proposed information formula.

Preamble
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P76
Formal statement
namespace QAlgorithms.Papers.Independent.Intakethird100.P76

noncomputable section

open scoped BigOperators

open Filter Set

attribute [local instance] Classical.propDecidable

-- Exact pinned primitives, inspected at their definitions before reuse.

open QAlgorithms.Papers.Independent.Information100.P56 (IsLaw)

open QAlgorithms.Papers.Independent.Frontier30.P12 (IsStochastic)

variable {S X Y Z : Type} [Fintype S] [Fintype X] [Fintype Y] [Fintype Z]
  [Nonempty S] [Nonempty X] [Nonempty Y] [Nonempty Z]

variable {n u w : ℕ}

/-- PDF p.4, Proposition 1, (8), with factorization (10) and attained maximum. -/
theorem secret_key_capacity (W : DMBC S X Y Z) (cost : S → ℝ) (Gamma : ℝ)
    (hcost : AdmissibleCost cost Gamma) :
    ∃ u w : ℕ, 0 < u ∧ 0 < w ∧ ∃ A : Aux S X u w,
      CostFeasibleInput cost Gamma A.input ∧
      IsGreatest (auxValues W cost Gamma) (auxObjective W A) ∧
      senderExcitedCapacity W cost (some Gamma) = (auxObjective W A : EReal) := by sorry

end

end QAlgorithms.Papers.Independent.Intakethird100.P76
Source
The Sender-Excited Secret Key Agreement Model: Capacity, Reliability and Secrecy Exponents, arXiv:1107.4148v4, PDF p. 4, Proposition 1 (Secret Key Capacity); precise result selected for the p.1 paper seed
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What the Lean code literally says, in plain math · gpt-6.1-sol

For finite types S,X,Y,ZS,X,Y,ZS,X,Y,Z, let WWW supply their nonemptiness and a probability law Ws(x,y,z)W_s(x,y,z)Ws​(x,y,z) for each s∈Ss\in Ss∈S. Let c:S→Rc:S\to\mathbb Rc:S→R and Γ∈R\Gamma\in\mathbb RΓ∈R satisfy Γ>0\Gamma>0Γ>0, the existence of a real LLL with 0≤c(s)≤L0\le c(s)\le L0≤c(s)≤L for every sss, and the existence of a probability law ppp with ∑sp(s)c(s)≤Γ\sum_s p(s)c(s)\le\Gamma∑s​p(s)c(s)≤Γ. There exist positive natural numbers u,wu,wu,w, a feasible probability law ppp, and stochastic kernels q(a∣x,s)q(a\mid x,s)q(a∣x,s), r(b∣a)r(b\mid a)r(b∣a), for a<u,b<wa<u,b<wa<u,b<w, whose value

J=Iμ(U;Y∣V)−Iμ(U;Z∣V),μ(b,a,s,x,y,z)=r(b∣a)q(a∣x,s)p(s)Ws(x,y,z),J=I_\mu(U;Y\mid V)-I_\mu(U;Z\mid V),\qquad \mu(b,a,s,x,y,z)=r(b\mid a)q(a\mid x,s)p(s)W_s(x,y,z),J=Iμ​(U;Y∣V)−Iμ​(U;Z∣V),μ(b,a,s,x,y,z)=r(b∣a)q(a∣x,s)p(s)Ws​(x,y,z),

is a member of, and at least every member of, the set obtained by allowing all positive finite auxiliary sizes and all such feasible laws and kernels; furthermore, the sender-excited capacity equals JJJ, embedded in the extended real numbers. Here U=a,V=bU=a,V=bU=a,V=b, and conditional mutual information means I(A;B∣C)=H(A,C)−H(C)−H(A,B,C)+H(B,C)I(A;B\mid C)=H(A,C)-H(C)-H(A,B,C)+H(B,C)I(A;B∣C)=H(A,C)−H(C)−H(A,B,C)+H(B,C) with Shannon entropies in bits. The capacity in this equality is the extended-real supremum of nonnegative real rates RRR with the following property: for every positive block length ℓ\ellℓ, there is a code with positive message, public-message, and key counts Mℓ,Pℓ,KℓM_\ell,P_\ell,K_\ellMℓ​,Pℓ​,Kℓ​, a probability law eℓ(sℓ∣m)e_\ell(s^\ell\mid m)eℓ​(sℓ∣m) on SℓS^\ellSℓ for each message, maps fℓ(m,xℓ)f_\ell(m,x^\ell)fℓ​(m,xℓ) to the public alphabet and aℓ(m,xℓ)a_\ell(m,x^\ell)aℓ​(m,xℓ) to the key alphabet, and a map bℓ(yℓ,t)b_\ell(y^\ell,t)bℓ​(yℓ,t) to the same key alphabet; there are fixed nonnegative real constants rM,rP,rKr_M,r_P,r_KrM​,rP​,rK​ such that Mℓ=2⌈ℓrM⌉M_\ell=2^{\lceil\ell r_M\rceil}Mℓ​=2⌈ℓrM​⌉, Pℓ=2⌈ℓrP⌉P_\ell=2^{\lceil\ell r_P\rceil}Pℓ​=2⌈ℓrP​⌉, and Kℓ≤2ℓrKK_\ell\le2^{\ell r_K}Kℓ​≤2ℓrK​; every sℓs^\ellsℓ with eℓ(sℓ∣m)>0e_\ell(s^\ell\mid m)>0eℓ​(sℓ∣m)>0 satisfies ∑ic(si)≤ℓΓ\sum_i c(s_i)\le\ell\Gamma∑i​c(si​)≤ℓΓ; and under the mass function Mℓ−1eℓ(sℓ∣m)∏iWsi(xi,yi,zi)M_\ell^{-1}e_\ell(s^\ell\mid m)\prod_iW_{s_i}(x_i,y_i,z_i)Mℓ−1​eℓ​(sℓ∣m)∏i​Wsi​​(xi​,yi​,zi​), the disagreement probability Pr⁡[aℓ(m,xℓ)≠bℓ(yℓ,fℓ(m,xℓ))]\Pr[a_\ell(m,x^\ell)\ne b_\ell(y^\ell,f_\ell(m,x^\ell))]Pr[aℓ​(m,xℓ)=bℓ​(yℓ,fℓ​(m,xℓ))] tends to zero, I(aℓ(m,xℓ);(zℓ,fℓ(m,xℓ)))/ℓI(a_\ell(m,x^\ell);(z^\ell,f_\ell(m,x^\ell)))/\ellI(aℓ​(m,xℓ);(zℓ,fℓ​(m,xℓ)))/ℓ tends to zero, and for every ε>0\varepsilon>0ε>0, eventually H(aℓ(m,xℓ))/ℓ≥R−εH(a_\ell(m,x^\ell))/\ell\ge R-\varepsilonH(aℓ​(m,xℓ))/ℓ≥R−ε.

Human review
  • Endorsed by Shuze Chen · Nov 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Gohan · Nov 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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