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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)
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Product additivity of coherent and private information

Statement

Let Ni:Ai→Bi be finite-dimensional channels. For input states ρi,

Ic(ρ1⊗ρ2,N1⊗N2)=Ic(ρ1,N1)+Ic(ρ2,N2).

For finite ensembles Ei={pxi(i),ρxi(i)}, their product ensemble satisfies

Ip(E1⊗E2,N1⊗N2)=Ip(E1,N1)+Ip(E2,N2).

Facts & Assumptions

Given: The two finite-dimensional channels, input states, and finite ensembles in the Statement.

[F1]

Complementary channels and coherent information and Coherent information equals output entropy minus environment entropy: coherent information for a fixed complement is S(B)−S(E).

[F2]

Private information of a finite channel ensemble: private information is the receiver Holevo quantity minus the complementary-output Holevo quantity.

Proof

1.1F3F4givenalgebra

Let τ and σ be density operators with positive eigenvalues (λi)i and (μj)j, respectively. By [F3], the product eigenvectors form an orthonormal eigenbasis of τ⊗σ with eigenvalues λiμj; zero eigenvalues contribute zero. Expanding the entropy sum and using [F4], ln⁡(λiμj)=ln⁡λi+ln⁡μj, gives S(τ⊗σ)=S(τ)+S(σ).

2.1F1step 1.1constructalgebra

Choose purifications ∣ψi⟩∈Ai⊗Ri of ρi. Their product purifies ρ1⊗ρ2. The joint output-reference states under the tensor-product channels and the complementary outputs under the product dilations are products. Applying step 1.1 to both entropy terms in [F1] proves the coherent-information equality.

3.1F2F3F4step 1.1algebra∎

The product ensemble has probabilities px1(1)px2(2) and product receiver and environment output states. Its average receiver and environment states are the corresponding products of the two ensemble averages. Apply step 1.1 to each average and each positive-probability conditional state. Substitution into the two Holevo differences in [F2] separates the finite double sums into the two one-ensemble private-information terms, proving the second equality.

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