Alphabeta Math
PropositionStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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Sector entropy and relative entropy identities

Statement

Let I be a finite nonempty set. For each α∈I, let Hα,Kα be nonzero finite-dimensional complex inner-product spaces. A density matrix is a self-adjoint endomorphism with nonnegative eigenvalues and trace one; it is faithful when all its eigenvalues are strictly positive. Let pα,qα>0 with ∑αpα=∑αqα=1, let ρα be a density matrix on Hα, let σα be a faithful density matrix on Hα, and let χα be a fixed faithful density matrix on Kα. Form the finite orthogonal direct sums

ρA:=⨁α∈Ipαρα⊗χα,σA:=⨁α∈Iqασα⊗χα.

For a density matrix τ, set s(τ):=−∑λj(τ)>0λj(τ)log⁡λj(τ), with 0log⁡0:=0, so entropy is in nats. For density matrices τ,ω with faithful reference ω, set D(τ∥ω):=tr⁡(τlog⁡τ)−tr⁡(τlog⁡ω) using spectral logarithms on positive eigenvalues. Also define H(p):=−∑αpαlog⁡pα and Dcl(p∥q):=∑αpαlog⁡(pα/qα). Then ρA and σA are density matrices, σA is faithful, and

s(ρA)=H(p)+∑α∈Ipα(s(ρα)+s(χα)),

D(ρA∥σA)=Dcl(p∥q)+∑α∈IpαD(ρα∥σα).

These are exact finite-dimensional matrix identities; no literal black-hole area, universal Ryu–Takayanagi formula, continuum limit, or gravitational entropy claim follows.

Facts & Assumptions

Given: The finite sector data, encoded endomorphisms, entropy convention, and classical relative entropy convention in the Statement.

[F1]

Finite relative entropy equals modular energy minus entropy: for finite-dimensional density matrices τ,ω with faithful reference ω, D(τ∥ω)=tr⁡((τ−ω)(−log⁡ω))−(s(τ)−s(ω)), with natural logarithms and 0log⁡0:=0.

[F2]

Finite matrix spectral and state calculus: every finite-dimensional Hermitian endomorphism has an orthonormal eigenbasis with real eigenvalues; for a nonnegative endomorphism the eigenvalues are nonnegative, and spectral functions on its positive spectrum are well defined.

[F3]

The basis-independent trace of an endomorphism of a finite-dimensional vector space: trace is the finite sum of diagonal matrix entries in any basis and is independent of the basis.

[F4]

Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm: for positive x,y, log⁡(xy)=log⁡x+log⁡y, log⁡(x/y)=log⁡x−log⁡y, and log⁡1=0.

[F5]

Direct-sum sector code entropy model: ρA and σA are block-diagonal endomorphisms with blocks pαρα⊗χα and qασα⊗χα on the orthogonal spaces Hα⊗Kα; tensor maps act on elementary tensors factorwise.

Proof

1.1givenF2F3F5algebra

Choose orthonormal eigenbases for each ρα, σα, and χα using [F2]. Write their eigenvalues as rαi, tαi, and cαj, respectively. In each block, the tensor products of the factor eigenvectors form an orthonormal basis and have eigenvalues pαrαicαj for pαρα⊗χα and qαtαicαj for qασα⊗χα. Thus every block is positive semidefinite, the finite orthogonal sum is positive semidefinite, and its trace is ∑αpα(∑irαi)(∑jcαj)=∑αpα=1; the same calculation with qα,tαi proves tr⁡σA=1. Since qα,tαi,cαj are all strictly positive, every eigenvalue of σA is positive, so the reference is faithful.

2.1givenF2F4F5step 1.1algebra

The eigenvalues of ρA are exactly pαrαicαj over its orthogonal block eigenbases. Terms with rαi=0 contribute 0 by the entropy convention; all other terms satisfy log⁡(pαrαicαj)=log⁡pα+log⁡rαi+log⁡cαj by [F4]. Substituting in s(ρA) and summing the finite products, using ∑irαi=∑jcαj=1, gives s(ρA)=−∑αpαlog⁡pα+∑αpαs(ρα)+∑αpαs(χα), which is the asserted entropy identity.

2.2givenF2F3F4F5step 1.1algebra

Write uαi for the chosen eigenbasis of σα and vαj for that of χα, and put aαi:=⟨ραuαi,uαi⟩. By [F4], the block-α eigenvalues of KσA:=−log⁡σA on uαi⊗vαj are −log⁡qα−log⁡tαi−log⁡cαj; the diagonal entries of ρα⊗χα in that basis are aαicαj. Its block trace against KσA is therefore pα∑i,jaαicαj(−log⁡qα−log⁡tαi−log⁡cαj). Factoring the finite sums and using ∑iaαi=tr⁡ρα=1, ∑jcαj=1, ∑iaαi(−log⁡tαi)=tr⁡(ρα(−log⁡σα)), and −∑jcαjlog⁡cαj=s(χα), summing over α gives tr⁡(ρAKσA)=∑αpα[−log⁡qα+tr⁡(ρα(−log⁡σα))+s(χα)].

3.1F1step 1.1step 2.1step 2.2algebra∎

By [F1] and faithfulness from step 1.1, D(ρA∥σA)=tr⁡(ρAKσA)−s(ρA), since tr⁡(σAKσA)=s(σA) by the spectral entropy definition. Applying the same identity [F1] sectorwise gives D(ρα∥σα)=tr⁡(ρα(−log⁡σα))−s(ρα). Subtract the entropy expression in step 2.1 from the trace expression in step 2.2; the ancillary terms cancel and −∑αpαlog⁡qα−H(p)=∑αpαlog⁡(pα/qα). This is the claimed relative-entropy identity.

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