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Stationary quantum spin entropy and energy densities

Statement

Use the finite-range model and translations of Translation-invariant finite-range spin interaction. An algebraic state means a bounded complex-linear functional ω:A→C with ω(I)=1 and ω(A∗A)≥0, as in Infinite algebraic state and finite-region restrictions. It is translation invariant if ω(τx(A))=ω(A) for every x∈Zd and A∈A. Fix the positive entropy-normalization constant kB>0 used by Finite mixing, product entropy, and bipartite subadditivity; only division by this positive constant is needed to pass from that supplier's physical entropy to the dimensionless entropy here. Assume Countable Choice and the Axiom of Choice [A1]–[A2], and use the finite-entropy and state-compactness results [L1]–[L2] at their stated scopes.

For each positive integer L, let QL={0,…,L−1}d, let ρQL be the local density matrix of ω, and set SQL(ω)=−Tr⁡(ρQLlog⁡ρQL), with 0log⁡0=0. Then

s(ω):=lim⁡L→∞SQL(ω)Ld=inf⁡ℓ∈N>0SQℓ(ω)ℓd

exists. The energy density uΦ(ω):=∑S∈SΦω(Φ(S)) is finite and satisfies ω(HQL)/Ld→uΦ(ω). The translation-invariant state space is sequentially compact for pointwise convergence, s is upper semicontinuous there, and uΦ is continuous there. Entropy and energy density are dimensionless per site and joules per site, respectively, when Φ is an energy interaction.

Facts & Assumptions

Given: kB>0, the model of Translation-invariant finite-range spin interaction, the algebraic-state definition of Infinite algebraic state and finite-region restrictions, and a translation-invariant algebraic state ω.

[A1]

Countable Choice as defined in The Axiom of Countable Choice (ACω), required by Quasi-local algebra completion and locality and the pointwise compactness input [L2].

[A2]

Assume the full Axiom of Choice The Axiom of Choice for the finite-entropy input chain [L1]. The local finite-dimensional estimates below make no additional arbitrary-index selections.

[F1]

Translation-invariant finite-range spin interaction: each finite-volume Hamiltonian sums the translated finite shapes wholly contained in the volume, and the translations act isometrically on the norm completion.

[F2]

Infinite algebraic state and finite-region restrictions: an algebraic state is a bounded normalized positive functional; under [A1], each finite restriction has a unique density matrix.

[F4]

Finite matrix C-star algebra and density-state duality: on every nonzero finite matrix algebra, the ordinary operator norm satisfies ∥T∗T∥=∥T∥2, and each positive normalized linear functional has a unique positive trace-one density matrix whose trace-pairing functional has norm one. Its finite-dimensional proof makes no infinite-dimensional density representation claim.

[L1]

Finite mixing, product entropy, and bipartite subadditivity: finite entropy is additive on tensor products, concave under finite mixing, and subadditive across disjoint tensor factors. Step 1.1 proves the nonnegativity bound needed below. Its current proof establishes these finite-dimensional properties using its listed finite partial-trace and trace-cross-log suppliers. The source entropy is kB times the dimensionless entropy used here; division by kB>0 preserves the three stated inequalities.

[L2]

Sequential compactness of the quasi-local spin state space: under Countable Choice and its finite density/state interface, every sequence of algebraic states has a pointwise-convergent subsequence. Its current proof constructs the limit in the pointwise topology from consistent local densities.

Proof

technique · cube tiling, finite entropy subadditivity, and finite-range boundary counts

Given: [A1]–[A2], [F1]–[F4], [L1]–[L2], and a translation-invariant algebraic state ω.

1.1F3F4algebra

Diagonalize a local density matrix ρ on a region of m sites using [F3], with eigenvalues λj≥0 summing to one and matrix dimension D=qm, as supplied by [F4]. Then S(ρ)=−∑λj>0λjlog⁡λj≥0. For each positive λj, the scalar inequality −log⁡x≥1−x at x=(Dλj)−1 gives λjlog⁡(Dλj)≥λj−D−1. Summing over the positive eigenvalues yields log⁡D−S(ρ)≥1−r/D≥0, where r is the rank. Thus 0≤S(ρ)≤mlog⁡q.

1.2F1constructalgebra

For each S∈SΦ, let NS(L) count translations x with S+x⊆QL. With r=⌈R⌉, (L−2r)d≤NS(L)≤Ld for L>2r: every anchor at least r sites from each face contains the whole support, and the anchor of every included term lies in QL. Translation invariance gives ω(Φ(S+x))=ω(Φ(S)). Therefore ω(HQL)/Ld=∑S∈SΦ(NS(L)/Ld)ω(Φ(S))→∑S∈SΦω(Φ(S))=uΦ(ω).

2.1A2F1L1step 1.1algebra

Fix ℓ≥1 and tile QL by N=⌊L/ℓ⌋d disjoint ℓ-cubes and residual sites EL, where ∣EL∣≤dℓLd−1. Repeated use of [L1] subadditivity gives SQL(ω)≤NSQℓ(ω)+SEL(ω). By step 1.1 the last term is at most ∣EL∣log⁡q; if EL=∅, its scalar local density has entropy zero. Dividing by Ld and taking the upper limit gives lim sup⁡LSQL(ω)/Ld≤SQℓ(ω)/ℓd. Every ratio is at least their infimum over ℓ, so the limit exists and equals that infimum.

3.1F1F2F3F4step 2.1algebra

On a fixed finite region, pointwise convergence of algebraic states gives convergence of all matrix coefficients of their density matrices by [F2] and [F4], hence convergence in operator norm. Ordered eigenvalues are continuous in that norm: the finite-dimensional min-max formula follows from an ordered orthonormal eigenbasis, since any k-dimensional subspace meets the span of the last D−k+1 eigenvectors, while the span of the first k realizes the reverse bound; each Rayleigh quotient changes by at most the operator norm of the matrix difference. The function −xlog⁡x, extended by 0 at x=0, is continuous on [0,1], so each SQℓ(ω) is continuous under pointwise convergence. By step 2.1, s(ω) is the infimum of these continuous normalized local entropies and is upper semicontinuous. The energy density is a finite sum of local state evaluations by [F1], so it is continuous.

4.1A1F1F2L2algebra∎

If a sequence of translation-invariant algebraic states converges pointwise to ω, then for each fixed x,A the equalities ωn(τx(A))=ωn(A) pass to the limit, so the invariant state set is closed. By [L2] every sequence in the full state space has a pointwise-convergent subsequence; the closed invariant subset is therefore sequentially compact.

Depends on

Dependency tree · 2 levels

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