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Secrecy capacity of a finite degraded wiretap channel

Statement

If W(y,z∣x) is a finite degraded wiretap channel in the sense of Finite degraded wiretap channel, then all four operational capacities in Operational weak and strong secrecy capacities are equal to

max⁡PX[I(X;Y)−I(X;Z)],

where PX ranges over probability vectors on the finite input alphabet and the output law is induced by W. The maximum is attained.

Facts & Assumptions

Given: A finite wiretap channel with a stochastic degradation kernel V(z∣y) satisfying W(y,z∣x)=WY(y∣x)V(z∣y).

[F1]

Finite degraded wiretap channel: for every input law PX, PXYZ(x,y,z)=PX(x)WY(y∣x)V(z∣y); this factorization is the finite Markov condition written X−Y−Z.

[F2]

Finite mutual information: mutual information is finite joint-law KL in nats.

[F3]

Finite entropy and mutual-information chain rules: finite mutual information satisfies its chain rule.

[F4]

Data processing for a finite Markov chain, with equality condition: for finite A−B−C, I(A;C)≤I(A;B).

[F5]

The finite wiretap auxiliary has cardinality at most |X|: the auxiliary objective's maximum is attained, and q↦Iq(X;Y)−Iq(X;Z) is continuous on the finite input simplex.

[F6]

Strong-secrecy capacity of a finite DMC wiretap channel: each of the four operational weak/strong secrecy capacities equals the maximum over finite U−X−(Y,Z).

[F7]

Operational weak and strong secrecy capacities: the four operational capacities use the rate, reliability, and secrecy limits stated in its Definition.

Proof

1.1F1F4givenalgebra

Fix any finite PU,X and form the joint law PU,X,Y,Z(u,x,y,z)=PU,X(u,x)W(y,z∣x), which is the notation U−X−(Y,Z). For each u with PU(u)>0, the degraded factorization [F1] makes X−Y−Z under the posterior law PX∣U=u, so [F4] gives I(X;Z∣U=u)≤I(X;Y∣U=u). Averaging over u yields I(X;Z∣U)≤I(X;Y∣U).

1.2F2givenconstructalgebra

Conversely, for any input law PX, take U=X. Then U−X−(Y,Z) holds and I(U;Y)−I(U;Z)=I(X;Y)−I(X;Z). Thus the supremum over auxiliaries is at least the supremum of the displayed single-letter objective.

2.1F2F3step 1.1givenalgebra

The Markov condition U−X−Y gives I(U;Y∣X)=0, so the chain rule [F3] yields I(X;Y)=I(U;Y)+I(X;Y∣U). Likewise U−X−Z gives I(X;Z)=I(U;Z)+I(X;Z∣U). Subtracting these identities and using step 1.1 shows I(U;Y)−I(U;Z)=I(X;Y)−I(X;Z)−(I(X;Y∣U)−I(X;Z∣U))≤I(X;Y)−I(X;Z).

3.1F5F6F7step 2.1step 1.2algebra∎

By [F5], choose an auxiliary law attaining the maximum in the general formula. Step 2.1 shows that replacing this law by U=X at the same marginal PX cannot decrease its value, so this input law attains the maximum of the single-letter expression. Every input law is itself an allowed auxiliary with U=X by step 1.2. Thus the auxiliary maximum equals the displayed maximum, and [F6] identifies it with all four capacities in the sense of [F7].

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