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Exact finite algebra entropy identities and holography boundaries

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

DefinitionDefinition: AI-adaptedProof: Not applicableprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

Direct-sum sector code entropy model

Definition

Let I be a finite nonempty index set. For each α∈I, let Hα and Kα be nonzero finite-dimensional complex inner-product spaces, and give

HA:=⨁α∈I(Hα⊗Kα)

the orthogonal direct-sum inner product: distinct summands are orthogonal and the inner product within a summand is the Hilbert tensor-product inner product. On elementary tensors that inner product is ⟨x⊗y,x′⊗y′⟩=⟨x,x′⟩⟨y,y′⟩. A map T⊗U acts by (T⊗U)(x⊗y)=Tx⊗Uy, and a direct-sum map acts blockwise with zero off-diagonal blocks.

A complex-linear endomorphism is a linear map from a vector space to itself. A density matrix on a finite-dimensional complex inner-product space is a self-adjoint endomorphism with nonnegative eigenvalues and trace one; it is faithful when all eigenvalues are strictly positive. These are the conventions used for the finite density matrices in the earlier modular-balance result. The summand indexed by α is called the α sector. For each α, fix a faithful density matrix χα on Kα. Let p=(pα)α∈I satisfy pα>0 and ∑α∈Ipα=1, and let ρα be density matrices on Hα. Define the encoded endomorphism

Eχ(p,ρ):=⨁α∈Ipα ρα⊗χα.

When this encoded endomorphism is a density matrix, call it the encoded reduced state. The logical data are p and {ρα}; the ancillary matrices {χα} are held fixed. For a second strictly positive probability vector q and faithful density matrices σα on the same Hα, write σA:=Eχ(q,σ) for the encoded reference endomorphism.

This is a finite-dimensional algebraic model. The definition makes no gravitational interpretation and does not identify a matrix entropy term with a geometric area.

PropositionStatement: AI-adaptedProof: AI-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

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.

5 · Examples, experiments and counterexamples

None yet.

Sources