Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generated
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Coherent-information concavity and subadditivity for degradable channels

Statement

Let Ni:Ai→Bi for i=1,2 be finite-dimensional degradable channels with complements Nic=Di∘Ni. Then ρ↦Ic(ρ,Ni) is concave and nonnegative. For every joint input state ρA1A2,

Ic(ρA1A2,N1⊗N2)≤Ic(ρA1,N1)+Ic(ρA2,N2).

Consequently the supremum coherent information of N1⊗N2 is the sum of the two single-channel suprema.

Facts & Assumptions

Given: The finite-dimensional degradable channels and joint input state in the Statement.

[F1]

Degradable and antidegradable channels: Nic=Di∘Ni for a finite-dimensional channel Di.

[F2]

Private information is an average coherent-information difference: Ip(E,N)=Ic(ρˉ,N)−∑xpxIc(ρx,N).

[F3]

Finite quantum mutual information identities and the Holevo identity: for a finite classical-quantum state, its mutual information equals its Holevo information.

[F4]

Data processing for finite quantum mutual information: local channels on either register cannot increase finite quantum mutual information.

[F5]

Coherent information equals output entropy minus environment entropy: Ic(ρ,N)=S(N(ρ))−S(Nc(ρ)).

[F6]

Finite quantum mutual, conditional, and conditional mutual information: quantum mutual information is defined by I(X:Y)=S(X)+S(Y)−S(XY).

[F8]

Product additivity of coherent and private information: coherent information is additive on product input states for product channels.

[F9]

Schmidt decomposition: the receiver and environment marginals of the pure Stinespring output of a pure input have the same positive eigenvalues.

[F10]

Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: ln⁡(xy)=ln⁡x+ln⁡y for positive x,y; it supports the cq entropy identity stated in [F3].

Proof

1.1F1F2F3F4F10givenalgebra

Fix a finite input ensemble E={px,ρx} with average ρˉ. By [F2] and [F3], Ip(E,Ni)=I(X;Bi)−I(X;Ei), where Bi and Ei denote the receiver and complementary output registers for the ensemble. The finite cq entropy calculation uses the block eigenvalues pxλxj and the logarithm product law [F10]. Since Ei is obtained from Bi by Di in [F1], [F4] gives I(X;Ei)≤I(X;Bi). Thus Ip(E,Ni)≥0.

1.2F1F2F4F5F6algebra

For a joint state ρA1A2, write ρi for its marginals, ωB1B2=(N1⊗N2)(ρ), and ηE1E2=(N1c⊗N2c)(ρ). Expanding the entropies in [F5] and using [F2], [F6] gives Ic(ρ,N1⊗N2)−Ic(ρ1,N1)−Ic(ρ2,N2)=−I(B1:B2)ω+I(E1:E2)η. The tensor product D1⊗D2 maps ω to η, so [F4] gives I(E1:E2)η≤I(B1:B2)ω. The right side is therefore nonpositive, proving the claimed inequality.

2.1F2step 1.1algebra

Rewrite the inequality Ip(E,Ni)≥0 using [F2]. For every finite ensemble with average ρˉ, this yields Ic(ρˉ,Ni)≥∑xpxIc(ρx,Ni), which is exactly concavity of coherent information on the finite-dimensional state space.

3.1F5F7F9step 2.1algebraconstruct

Let ρ=∑jλj∣uj⟩⟨uj∣ be a spectral decomposition from [F7]. For each pure ∣uj⟩, an isometric Stinespring dilation produces a pure receiver-environment vector, so the two marginal entropies agree by [F9] and [F5] gives Ic(∣uj⟩⟨uj∣,Ni)=0. Concavity from step 2.1 therefore implies Ic(ρ,Ni)≥∑jλj⋅0=0.

4.1F8step 1.2algebrachoose∎

The inequality in step 1.2 gives the upper bound on the optimized coherent information. Product inputs give equality by [F8]; choosing inputs within arbitrary δ>0 of each finite supremum and letting δ↓0 proves additivity of the supremum.

The proof uses the finite entropy-identity and strong-subadditivity interfaces listed above. Their source status does not alter the stated mathematical hypotheses.

Depends on

Used by

Dependency tree · two levels

60 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources