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Local spin matrix algebras and isometric inclusions

1 · Prerequisites

2 · Summary

For the countable lattice Zd and a fixed finite spin dimension q, this page defines the finite local matrix algebras, proves that tensoring with an identity gives isometric inclusions, and defines the quasi-local algebra as the norm completion of the directed union of finite-region observables. No infinite tensor-product Hilbert space is selected.

For nested finite regions Λ⊆Λ′⊆Λ′′, the following triangle records the maps and equality established by Local spin factor inclusions preserve the operator norm:

\begin{center} \begin{tikzpicture}[>=stealth] \node (a) at (0,0) {AΛ}; \node (b) at (3,1.2) {AΛ′}; \node (c) at (3,-1.2) {AΛ′′}; \draw[->] (a) -- node[above] {ιΛ,Λ′} (b); \draw[->] (b) -- node[right] {ιΛ′,Λ′′} (c); \draw[->] (a) -- node[below] {ιΛ,Λ′′} (c); \end{tikzpicture} \end{center}

Each arrow is the factor inclusion T↦T⊗I for the indicated pair of regions. The triangle commutes because the two tensor-factor identifications send each configuration basis vector to the same vector; the lemma proves this algebraically in its Step 1.1, so the diagram is explanatory rather than a proof premise.

It then defines bounded normalized positive functionals as algebraic states, conditionally proves extension and uniqueness from consistent finite-region density matrices, and proves sequential compactness of the state space for pointwise convergence on observables under Countable Choice. The final lemma constructs a cyclic Hilbert-space representation from a consistent family through its algebraic state.

The finite-matrix prerequisites are split across two current suppliers. Finite matrix spectral and state calculus proves finite Hermitian spectral calculus, positive square roots, trace cyclicity and basis independence, and weighted Cauchy–Schwarz. Its current density proof correctly normalizes rational-coordinate vectors; the normalized vectors need not themselves have rational coordinates. Finite matrix C-star algebra and density-state duality supplies completeness and the operator-norm C*-identity for each finite local matrix algebra, and proves the unique density representation and norm formula for positive finite-matrix functionals; in particular, positive normalized functionals correspond exactly to trace-one density matrices. Both suppliers currently have status draft, so this page's uses of their claims remain conditional pending their ordinary supplier review. No global density operator representation is asserted, and all claims here are mathematical; no physical postulate or empirical conclusion is asserted.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Countability of every finite-dimensional integer lattice

Statement

For every positive integer d, the integer lattice Γ=Zd is at most countable. Countability here means finite or in bijection with N, as in Finite, countably infinite, countable, uncountable.

Facts & Assumptions

Given: The usual set Z of signed integers, the von Neumann natural numbers N, and a fixed finite d≥1.

[F1]

A set is at most countable when it is finite or equinumerous with N (Finite, countably infinite, countable, uncountable).

[F2]

A nonempty set is at most countable if a surjection from N onto it exists (A nonempty set is at most countable iff it is a surjective image of N). This criterion uses no choice principle.

[F3]

Every finite Cartesian power of an at most countable set is at most countable (Every finite power of an at most countable set is at most countable).

[F4]

The integers are the quotient of N×N by (a,b)∼(c,d) iff a+d=b+c, and the quotient map π(a,b)=[(a,b)] is surjective (The integers as equivalence classes of pairs of naturals).

Proof

technique · direct

Given: d≥1 and Γ=Zd.

1.1F1F2F3F4construct

The identity map shows that N is at most countable by [F1], so [F3] gives that N×N is at most countable. This product is nonempty, so [F2] supplies a surjection s:N→N×N. By [F4], the quotient map π:N×N→Z is surjective; hence π∘s:N→Z is a surjection.

2.1step 1.1F1F2

The surjection in step 1.1 makes Z nonempty, and [F2] then shows that Z is at most countable in the sense of [F1].

3.1givenstep 2.1F3∎

Since d is finite and positive, [F3] with C=Z and m=d gives that Γ=Zd is at most countable.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Local spin matrix algebras and their factor inclusions

Definition

Fix an integer dimension d≥1, the countable site set Γ=Zd of Countability of every finite-dimensional integer lattice, and one finite spin dimension q≥1, where q is a positive integer (so q∈N and 1≤q, by The natural numbers N (von Neumann) and Order on the natural numbers). For n∈Z, define ∣n∣=n if 0≤n and ∣n∣=−n if n<0, using the integer order and additive inverse of Order on the integers and Arithmetic on the integers. Totality and compatibility of the integer order with addition (The integers form a totally ordered ring) give 0≤∣n∣ and −∣n∣≤n≤∣n∣. Adding these bounds for m,n∈Z gives ∣m+n∣≤∣m∣+∣n∣. Equip Γ with the max-coordinate metric d∞(x,y)=max⁡1≤r≤d∣xr−yr∣; the maximum exists because the coordinate set is finite and nonempty, symmetry and separation hold coordinatewise, and the absolute-value triangle inequality gives ∣xr−zr∣≤∣xr−yr∣+∣yr−zr∣ for every coordinate, hence the triangle inequality for d∞. A finite region is a finite subset Λ⊆Γ; its cardinality is ∣Λ∣ (The cardinality ∣A∣ of a finite set).

For a finite region Λ, let SΛ={1,…,q}Λ be the set of spin configurations on Λ. Induction on ∣Λ∣ gives ∣SΛ∣=q∣Λ∣: the empty region has one configuration, and for x∈Λ the restriction map s↦(s∣Λ∖{x},s(x)) is a bijection SΛ→SΛ∖{x}×{1,…,q}, so adjoining one site multiplies the number of configurations by q, according to the recursion defining natural-number powers in Exponentiation of natural numbers, mn, and its agreement with the integer power in R. Let HΛ be the vector space of functions f:SΛ→C with inner product ⟨f,g⟩=∑s∈SΛf(s)g(s)‾. For each s∈SΛ, let es be the indicator function of {s}; these vectors form an orthonormal basis. For Λ=∅, SΛ is a singleton and HΛ≅C. The local spin matrix algebra is

AΛ:=B(HΛ)≅Mq∣Λ∣(C),

Here B(HΛ) denotes all complex-linear endomorphisms of the finite-dimensional Hilbert space; they are bounded. The algebra has composition, Hilbert adjoint, identity IΛ, and induced operator norm

∥T∥:=sup⁡∥ξ∥=1∥Tξ∥.

The finite local trace is Tr⁡Λ(T):=∑s∈SΛ⟨Tes,es⟩ in the displayed configuration basis (es). This is the usual finite-matrix trace; basis independence and its cyclic/unitary identities are supplied by Finite matrix spectral and state calculus.

If Λ⊆Λ′, restriction of configurations gives the canonical factorization HΛ′≅HΛ⊗HΛ′∖Λ, with sites ordered lexicographically. The factor inclusion is the unital ∗-homomorphism ιΛ,Λ′:AΛ→AΛ′ given by T↦T⊗IΛ′∖Λ. A localization region for T is any finite Λ for which T∈AΛ under these inclusions; a localization region need not be minimal.

The ordinary operator norm makes each local matrix algebra a nonzero unital complete C*-algebra, and every positive normalized complex-linear functional is uniquely a trace pairing with a density matrix, by Finite matrix C-star algebra and density-state duality. This includes the empty region, whose Hilbert space is C. This definition does not posit an infinite-dimensional tensor-product Hilbert space.

LemmaStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

Local spin factor inclusions preserve the operator norm

Statement

Fix d≥1, q≥1, and finite regions Λ⊆Λ′⊆Zd as in Local spin matrix algebras and their factor inclusions. Then the factor inclusion ιΛ,Λ′(T)=T⊗I is an isometric unital ∗-homomorphism:

∥ιΛ,Λ′(T)∥=∥T∥(T∈AΛ).

For nested finite regions Λ⊆Λ′⊆Λ′′, the inclusions compose: ιΛ′,Λ′′∘ιΛ,Λ′=ιΛ,Λ′′.

Facts & Assumptions

Given: d≥1, q≥1, finite Λ⊆Λ′⊆Λ′′⊆Zd, and the configuration Hilbert spaces and inclusions of Local spin matrix algebras and their factor inclusions.

[F1]

For finite Λ, HΛ=ℓ2({1,…,q}Λ); for Λ⊆Λ′, restriction of configurations identifies HΛ′ with HΛ⊗HΛ′∖Λ, and ιΛ,Λ′(T)=T⊗I (Local spin matrix algebras and their factor inclusions).

[F2]

Each finite configuration Hilbert space has a finite orthonormal configuration basis, and ∥T∥=sup⁡∥u∥=1∥Tu∥ is its induced operator norm (Local spin matrix algebras and their factor inclusions).

Proof

technique · direct

Given: d≥1, q≥1, the finite regions and configuration Hilbert spaces of the Statement.

1.1givenF1algebra

Under [F1], T↦T⊗I preserves products and adjoints because (T⊗I)(S⊗I)=TS⊗I and (T⊗I)∗=T∗⊗I; it sends IΛ to IΛ′. The configuration-basis factorization is associative, so for nested regions the two successive inclusions and the direct inclusion act identically on every configuration basis vector and hence are equal operators.

1.2givenF1F2algebra

Let K=HΛ′∖Λ, and choose its finite orthonormal configuration basis e1,…,es. Every ξ∈HΛ⊗K has a unique expansion ξ=∑j=1sξj⊗ej, with ∥ξ∥2=∑j∥ξj∥2. Therefore ∥(T⊗I)ξ∥2=∑j∥Tξj∥2≤∥T∥2∥ξ∥2, so ∥T⊗I∥≤∥T∥.

1.3givenF1F2constructalgebra

If T=0, both norms are zero. Otherwise, for every ε>0 the supremum definition in [F2] gives a unit vector u∈HΛ with ∥Tu∥>∥T∥−ε. Since q≥1, K is nonzero; choose a unit configuration vector v∈K. Then ∥(T⊗I)(u⊗v)∥=∥Tu∥∥v∥>∥T∥−ε, so ∥T⊗I∥≥∥T∥−ε for every ε>0.

2.1step 1.1step 1.2step 1.3∎

Letting ε↓0 in step 1.3 and combining with step 1.2 gives ∥ιΛ,Λ′(T)∥=∥T∥. Step 1.1 supplies the unital ∗-homomorphism and composition identities, completing the claim.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Norm-completed quasi-local quantum spin algebra

Definition

Use the finite local matrix algebras and isometric factor inclusions of Local spin matrix algebras and their factor inclusions and Local spin factor inclusions preserve the operator norm. Identify A∈AΛ with its image in every larger finite-region algebra. The directed union

Aloc:=⋃Λ⊆Γ, ∣Λ∣<∞AΛ

is the algebra of strictly local observables. Its norm is ∥A∥=∥A∥AΛ for any finite localization region Λ of A; isometric inclusions make this independent of the chosen region. The quasi-local spin algebra is the norm completion

A:=Aloc‾ ∥⋅∥.

The C*-algebra structure on this completion has product and adjoint extended continuously from the finite local matrix algebras. Countable Choice is assumed for the published existence theorem for metric completions; Quasi-local algebra completion and locality ↗ supplies the full extension argument using the finite C*-identity of Finite matrix C-star algebra and density-state duality.

No global Hilbert tensor product is selected. “Quasi-local” means norm completion of the directed algebra of finite-region observables; it does not mean a chosen representation as operators on an infinite tensor-product Hilbert space. A local operator A∈AΛ may have more than one localization region. Disjoint finite local factors commute in their common finite tensor algebra.

LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-6-luna)Open item page →

Quasi-local algebra completion and locality

Statement

Assume Countable Choice (The Axiom of Countable Choice (ACω)) for the Cauchy-sequence completion. For the local spin system of Local spin matrix algebras and their factor inclusions, the normed ∗-algebra Aloc and its completion A of Norm-completed quasi-local quantum spin algebra are well defined; A is a unital complex C*-algebra and Aloc is norm dense in it. If A∈AΛ and B∈AΔ for disjoint finite regions Λ,Δ, then AB=BA.

Facts & Assumptions

Given: The finite spin system of Local spin matrix algebras and their factor inclusions, the isometric inclusions of Local spin factor inclusions preserve the operator norm, its local union Aloc, its norm completion A, and Countable Choice.

[F1]

For Λ⊆Λ′, the inclusion T↦T⊗I is isometric and compatible with composition; finite local operators on disjoint regions act on separate tensor factors (Local spin matrix algebras and their factor inclusions, Local spin factor inclusions preserve the operator norm).

[F2]

Finite matrix C-star algebra and density-state duality supplies completeness, submultiplicativity, isometric adjoint and ∥T∗T∥=∥T∥2 for each finite local matrix algebra with its ordinary operator norm, including dimension one.

[F3]

A norm completion of a normed space carries a Banach-space norm extending the original norm, under Countable Choice (The Axiom of Countable Choice (ACω), Completion of a normed space, The metric completion of a normed space carries a unique compatible Banach-space structure).

[F4]

In the published Cauchy-class completion, termwise addition, scalar multiplication and the limit norm are well defined (The Cauchy-class operations of a normed-space completion are well defined).

[F5]

A complex C*-algebra is a complete submultiplicative complex ∗-algebra satisfying ∥x∗x∥=∥x∥2; unital C*-algebras have a nonzero identity (C star algebra).

Proof

technique · direct

Given: The local system, factor inclusions, norm completion and Countable Choice as specified above.

1.1givenF1construct

For A∈AΛ and B∈AΔ, both embed into AΛ∪Δ by [F1]. Thus their sum, product and adjoint are defined in a common finite matrix algebra, so Aloc is a unital ∗-algebra. If A has two localization regions, embedding into their union and isometry [F1] show that both assigned norms equal its norm in that common algebra; hence the local norm is well defined.

1.2givenF3F4

By [F3] and [F4], the norm completion is a Banach space and sums, scalar multiples and the limit norm are well defined on Cauchy-sequence classes; the constant sequence at the local unit is its candidate unit, and the local algebra is dense by the definition of completion.

2.1F1F2step 1.1

In any common finite matrix algebra, the operator norm is submultiplicative, the adjoint preserves norm, and [F2] supplies the C*-identity ∥A∗A∥=∥A∥2. Isometric inclusions [F1] transfer these identities to Aloc, so it is a normed ∗-algebra with the C*-identity.

3.1step 1.2step 2.1algebra

Let (An) and (Bn) be Cauchy sequences in Aloc. Each is bounded: after some index its terms lie within one unit of a fixed term, and the finitely many earlier terms have a finite maximum norm. Then ∥AnBn−AmBm∥≤∥An∥ ∥Bn−Bm∥+∥An−Am∥ ∥Bm∥ shows that (AnBn) is Cauchy. If either sequence is replaced by an equivalent one, the same estimate makes the product sequences equivalent. Thus multiplication [An][Bn]:=[AnBn] is well defined on the completion and obeys ∥xy∥≤∥x∥ ∥y∥.

4.1F2F5step 2.1step 1.2step 3.1

Since ∥An∗−Am∗∥=∥An−Am∥ in the local algebra by step 2.1, [An]∗:=[An∗] is a well-defined involution on the completion. The Cauchy-sequence identities for product and adjoint show (xy)∗=y∗x∗ and associativity; continuity of multiplication and the limit norm pass ∥x∗x∥=∥x∥2 from [F2] to every x in the completion. The unit class [Iloc] acts as an identity by termwise multiplication and has norm one by isometry, so A satisfies the C*-algebra definition in [F5].

5.1F1step 1.1∎

If A∈AΛ and B∈AΔ with Λ∩Δ=∅, in AΛ∪Δ they have forms AΛ⊗IΔ and IΛ⊗BΔ. Both products equal AΛ⊗BΔ, so AB=BA. This proves locality for disjoint finite local factors.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Infinite algebraic state and finite-region restrictions

Definition

Let A be the unital quasi-local spin C*-algebra of Norm-completed quasi-local quantum spin algebra, whose C*-structure uses Countable Choice as in Quasi-local algebra completion and locality. An infinite algebraic state is a bounded complex-linear functional ω:A→C satisfying ω(I)=1 and ω(A∗A)≥0 for every A∈A.

For each finite region Λ⊆Zd, the restriction ω∣AΛ is a finite-matrix state. By Finite matrix C-star algebra and density-state duality, every positive normalized functional on a finite matrix algebra is represented by a unique density matrix. Define its local density matrix ρΛ by

ω(A)=Tr⁡Λ(ρΛA)(A∈AΛ),

where ρΛ=ρΛ∗≥0 and Tr⁡ΛρΛ=1. For Λ⊆Λ′, put Δ=Λ′∖Λ and use the configuration-basis factorization HΛ′≅HΛ⊗HΔ of Local spin matrix algebras and their factor inclusions. If T∈AΛ′, define its partial trace over Δ, Tr⁡Δ(T)∈AΛ, by its matrix coefficients

⟨Tr⁡Δ(T)es,es′⟩:=∑t∈SΔ⟨T(es⊗et),es′⊗et⟩(s,s′∈SΛ),

where es and et are the configuration basis vectors of HΛ and HΔ. The finite sums depend linearly on T, so they define a linear map AΛ′→AΛ with a unique output matrix for each T. Expanding both configuration-basis traces gives its pairing identity

Tr⁡Λ ⁣(ATr⁡Δ(T))=Tr⁡Λ′ ⁣((A⊗IΔ)T)(A∈AΛ),

with the common value given by

∑s,s′∈SΛ∑t∈SΔ⟨Aes′,es⟩⟨T(es⊗et),es′⊗et⟩.

The pairing identity determines this matrix uniquely: if D∈AΛ pairs to zero with every A, taking the configuration-basis matrix units A=Eji gives Tr⁡Λ(EjiD)=⟨Dej,ei⟩=0 for every i,j, so D=0. The local densities are consistent when Tr⁡Λ′∖Λ(ρΛ′)=ρΛ. No density operator on a globally chosen Hilbert space is part of this definition.

This agrees with the canonical state convention of States and positive functionals on a C star algebra: the finite restrictions have norm one by Finite matrix C-star algebra and density-state duality, giving ∣ω(A)∣≤∥A∥ on the dense local algebra and hence on its completion; evaluation at the norm-one identity gives ∥ω∥=1. Conversely a canonical state has local restrictions with density matrices of trace one, since the finite norm formula and continuity on the dense local algebra imply ∥ω∥=ω(I). No global density representation is asserted.

LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-6-luna)Open item page →

Consistent local densities extend to an algebraic state

Statement

Assume Countable Choice for the norm completion in Norm-completed quasi-local quantum spin algebra. Let {ρΛ} be positive trace-one matrices, one on each finite-region algebra AΛ of Local spin matrix algebras and their factor inclusions, such that for every Λ⊆Λ′ their partial traces agree: Tr⁡Λ′∖Λ(ρΛ′)=ρΛ. There is a unique infinite algebraic state ω on A whose restriction to each AΛ is A↦Tr⁡Λ(ρΛA).

Facts & Assumptions

Given: Countable Choice, the local spin algebra and its norm completion, and a family ρΛ=ρΛ∗≥0 with Tr⁡ΛρΛ=1 satisfying all finite partial-trace consistency equations.

[F1]

The local algebras form a directed family with isometric inclusions; their union Aloc is a unital ∗-algebra dense in the completed C*-algebra A (Local spin matrix algebras and their factor inclusions, Local spin factor inclusions preserve the operator norm, Norm-completed quasi-local quantum spin algebra, Quasi-local algebra completion and locality).

[F2]

Finite matrix C-star algebra and density-state duality supplies the unique finite density/state correspondence and ∣Tr⁡(ρA)∣≤∥A∥ for every complex matrix A, with functional norm one for trace-one positive ρ.

[F3]

An infinite algebraic state is a bounded normalized positive functional on A, and its restrictions are represented by finite density matrices (Infinite algebraic state and finite-region restrictions).

Proof

technique · direct

Given: The density family and consistency hypotheses of the Statement, Countable Choice, and the finite-matrix interface [F2].

1.1givenF1construct

For A∈AΛ, define ω0(A):=Tr⁡Λ(ρΛA). This is independent of the chosen localization region: if A is also viewed in AΔ, embed both representatives into AΛ∪Δ; the two partial-trace consistency equations make both pairings equal to the one computed using ρΛ∪Δ. Thus ω0 is a well-defined functional on Aloc.

2.1givenF2step 1.1

Linearity follows by placing any two local arguments and their sum in one common finite region. The identity has value Tr⁡Λ(ρΛI)=1, and for local A, [F2] gives ω0(A∗A)=Tr⁡Λ(ρΛA∗A)≥0. Therefore ω0 is normalized and positive on Aloc.

3.1F2step 2.1

For local A, its restriction is the normalized finite-matrix state from [F2], whose functional norm is one. Hence ∣ω0(A)∣≤∥A∥.

4.1F1F3step 2.1step 3.1construct

The bound of step 3.1 makes ω0 continuous and uniquely extendible from the dense subalgebra Aloc to a bounded linear functional ω on A, with ∥ω∥≤1. It remains normalized because I∈Aloc and ω0(I)=1; since ∥I∥=1, this also gives ∥ω∥≥1, hence ∥ω∥=1. For any X∈A, choose local Xn→X; then Xn∗Xn→X∗X by continuity of multiplication and adjoint, and ω(X∗X)=lim⁡nω0(Xn∗Xn)≥0. Thus ω is an infinite algebraic state.

5.1F1F3step 4.1∎

Any state with the prescribed local restrictions agrees with ω0 on Aloc and hence agrees with ω on its norm closure, since both are continuous and Aloc is dense. The extension is unique.

LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-6-luna)Open item page →

Sequential compactness of the quasi-local spin state space

Statement

Assume Countable Choice (The Axiom of Countable Choice (ACω)) for the countable union of finite regions and the finite-dimensional state/density interface explicitly stated in Facts [F3]. Let Γ=Zd, d≥1, and q≥1 be as in Local spin matrix algebras and their factor inclusions. For every sequence of algebraic states ωn on the quasi-local spin algebra A, there is a subsequence ωnk and an algebraic state ω such that ωnk(A)→ω(A) for every A∈A. Thus the state space is sequentially compact in the pointwise topology, meaning convergence on every fixed observable. The conclusion concerns functional values; it does not assert convergence of global density matrices or a global trace-class representation.

Facts & Assumptions

Given: Countable Choice, the finite local algebras and norm completion of Local spin matrix algebras and their factor inclusions and Norm-completed quasi-local quantum spin algebra, and a sequence of algebraic states ωn on A.

[A1]

Countable Choice: every countable family of nonempty sets has a choice function (The Axiom of Countable Choice (ACω)).

[F1]
[F2]

Every nonempty at most countable set is a surjective image of N; finite powers of Q are at most countable, and Q is at most countable (A nonempty set is at most countable iff it is a surjective image of N, Every finite power of an at most countable set is at most countable, Q is countably infinite).

[F3]

Finite matrix C-star algebra and density-state duality gives every positive normalized functional on a finite local algebra a unique positive trace-one density matrix and norm one; in particular ∣ω(A)∣≤∥A∥ for arbitrary complex matrices A.

[F4]

Countable Choice is the exact hypothesis of the countable-union result used in [F1]; the other countability and enumeration results in [F1]–[F2] are choice-free (Countable unions of at most countable sets, assuming ACω, A nonempty set is at most countable iff it is a surjective image of N).

[F5]

Nested closed real intervals with lengths tending to zero have a unique common point (A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to 0); recursion on N defines a sequence from a deterministic rule (The recursion theorem).

[F6]

A state is a normalized positive functional, its finite restrictions are consistent, and a consistent family of local densities extends uniquely to a state on the norm completion (Infinite algebraic state and finite-region restrictions, Consistent local densities extend to an algebraic state).

Proof

technique · direct

Given: Countable Choice [A1], facts [F1]–[F6], and the sequence ωn.

1.1A1F1F2construct

For each m∈N, let Rm be the set of ranges of all m-tuples in Γm, including tuples with repeated entries. Since Γm is at most countable by [F1], a surjection N→Γm composed with the range map shows Rm is at most countable by [F2]. Every finite region is the range of a tuple of its cardinality, with the empty region the range of the unique 0-tuple. Thus all finite regions form the countable union ⋃mRm, which is at most countable by [F1] and [A1]. For each region Λ, rational real and imaginary matrix entries give a countable subset of AΛ: it is a finite Cartesian power of Q, so [F1]–[F2] apply. These matrices are norm dense: for a DΛ×DΛ error matrix E whose entries have modulus at most δ, Cauchy–Schwarz gives ∥Ev∥22≤∑i,j∣Eij∣2∥v∥22≤DΛ2δ2∥v∥22, so ∥E∥op≤DΛδ. A second countable union, using [A1], therefore gives a countable norm-dense set D in Aloc, hence in its completion A.

1.2givenF2F3

By [F2], choose a surjection s:N→D and enumerate its values as D1,D2,…. For each fixed j≥1, the scalar sequence zn(j):=ωn(Dj) is bounded: Dj is local, and the finite-dimensional state/density interface [F3] gives ∣ωn(Dj)∣≤∥Dj∥. The same estimate extends each ωn from the dense local algebra to all of A, so ∥ωn∥=1 by normalization.

1.3givenF5construct

We specify a deterministic convergent-subsequence rule for any bounded complex sequence zn. Choose M>0 with zn∈[−M,M]2 under C≅R2. Subdivide the current closed square into its four closed equal subsquares in fixed lexicographic order; at least one contains infinitely many terms, and the rule takes the first such square. At the first stage choose the least index whose term lies in that square; at every later stage choose the least index exceeding the previous one whose term lies in the selected square. Writing the nested squares as Ij×Jj, their closed coordinate intervals are nested and have lengths tending to zero. [F5] gives unique x∈⋂jIj and y∈⋂jJj, so (x,y) is the unique common point of the squares. The subsequence terms after stage j lie in the jth square, whose diameter tends to zero, hence converge to (x,y). Every choice in this rule is determined by a finite ordering or a least natural index; it uses no additional choice axiom.

2.1step 1.3F4F5construct

Apply the deterministic rule of step 1.3 recursively to the coordinate sequences zn(j) along nested subsequences for j≥1. More precisely, start with i0(n)=n; at stage j, write the resulting subsequence as ij(n)=ij−1(sj(n)) with sj strictly increasing, so sj(j)≥j. By [F5] and recursion, these maps are defined for every positive j. Put rj=ij(j) for j≥1. For j≥2, rj=ij−1(sj(j))≥ij−1(j)>ij−1(j−1)=rj−1, so (rj)j≥1 is increasing. For fixed m≥1 and j≥m, nestedness gives rj=im(tm,j) where tm,j≥j; hence these are tails of the convergent coordinate subsequence selected at stage m, and ωrj(Dm) converges.

3.1step 2.1F3algebra

For any A∈Aloc and ε>0, choose Dm with ∥A−Dm∥<ε/4 by density. Since each ωrj has norm one, ∣ωrj(A)−ωrk(A)∣≤2∥A−Dm∥+∣ωrj(Dm)−ωrk(Dm)∣. The last term tends to zero as j,k→∞ by step 2.1. Thus ωrj(A) is Cauchy and converges for every local A. Define ω0(A):=lim⁡jωrj(A) on Aloc. For local A,B and λ∈C, the equalities ωrj(A+λB)=ωrj(A)+λωrj(B) pass to the limit, and ω0(I)=1. For every local X, ω0(X∗X)=lim⁡jωrj(X∗X)≥0. Finally ∣ω0(A)∣=lim⁡j∣ωrj(A)∣≤∥A∥. Thus ω0 is a bounded normalized positive functional on Aloc.

4.1F3step 2.1step 3.1

On each finite region Λ, write ρΛ(j) for the density of ωrj∣AΛ. For each matrix unit Eab, its entries are rational, so Eba∈D; the trace-pairing formula gives (ρΛ(j))ab=ωrj(Eba). Thus every matrix coefficient converges by step 2.1. The entrywise limit ρΛ is Hermitian and trace one because these are finite linear equalities; for every vector v, ⟨ρΛv,v⟩=lim⁡j⟨ρΛ(j)v,v⟩≥0, so it is positive. Every partial-trace consistency equation is a finite linear equation in these entries and therefore passes to the limit. Hence {ρΛ} is a consistent family.

5.1F1F6step 3.1step 4.1∎

By [F6], the consistent family of step 4.1 extends to a unique state ω on A, and ω∣Aloc=ω0. For any A∈A and ε>0, choose local B with ∥A−B∥<ε/4. Then ∣ωrj(A)−ω(A)∣≤2∥A−B∥+∣ωrj(B)−ω(B)∣, whose right side is eventually less than ε by step 3.1. Therefore ωrj(A)→ω(A) for every A∈A, proving sequential compactness in the pointwise topology.

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Cyclic representation of a quasi-local state

Statement

Assume Countable Choice (The Axiom of Countable Choice (ACω)), the C*-algebra completion interface of Quasi-local algebra completion and locality, and the finite-matrix positive square-root interface of Finite matrix spectral and state calculus. Let {ρΛ} be a consistent family of finite local density matrices as in Consistent local densities extend to an algebraic state, and let ω be its extended algebraic state on the unital quasi-local algebra A. Then there are a complex Hilbert space Hω, a unital ∗-representation πω:A→B(Hω), and a unit vector Ωω cyclic for πω such that

ω(A)=⟨πω(A)Ωω,Ωω⟩(A∈A),

using the linear-first inner-product convention. Here B(Hω) is the space of bounded linear operators with its operator norm, a ∗-representation is a complex-linear map preserving products, adjoints and the identity, and cyclic means that {πω(A)Ωω:A∈A} is norm dense in Hω. The theorem asserts existence of a cyclic representation, not uniqueness up to unitary equivalence.

Facts & Assumptions

Given: Countable Choice, the C*-algebra structure on A, a consistent local density family, and the state ω supplied by Consistent local densities extend to an algebraic state.

[A1]

Countable Choice is assumed for the norm completions of inner-product spaces and the norm completion defining A (The Axiom of Countable Choice (ACω), The norm completion of an inner-product space is a Hilbert space, Norm-completed quasi-local quantum spin algebra).

[F1]

Aloc is a dense unital ∗-subalgebra of A, and the completed algebra is a unital C*-algebra using the finite-matrix C*-identity (Norm-completed quasi-local quantum spin algebra, Quasi-local algebra completion and locality).

[F2]

Finite matrix spectral and state calculus and Finite matrix C-star algebra and density-state duality supply the positive square root of ∥a∥2I−a∗a in every finite local matrix algebra, with the same operator norm.

[F3]

Consistent local densities extend to an algebraic state supplies a bounded positive complex-linear functional ω on A with ω(I)=1 and local restrictions A↦Tr⁡(ρΛA).

[F4]

The completion of a real or complex inner-product space is a Hilbert space under Countable Choice (The norm completion of an inner-product space is a Hilbert space).

[F6]

Every bounded operator on a Hilbert space has an adjoint; adjoints reverse products, are involutive, and preserve the operator norm, under Countable Choice (Hilbert-adjoint identities).

Proof

technique · direct

Given: A1, F1–F6 and the local algebra Aloc.

1.1givenF3algebra

For a,b∈Aloc, positivity makes Q(z):=ω((a+zb)∗(a+zb))≥0 for every z∈C. Expanding gives Q(z)=ω(a∗a)+zu+z‾ v+∣z∣2c, where u=ω(a∗b), v=ω(b∗a), and c=ω(b∗b)≥0. Taking real z=t and purely imaginary z=it shows respectively that u+v is real and i(u−v) is real, so v=u‾. If c>0, take z=−v/c to obtain Q(z)=ω(a∗a)−∣v∣2/c≥0. If c=0 and v≠0, taking z=−tv for sufficiently large real t>0 gives Q(z)=ω(a∗a)−2t∣v∣2<0, a contradiction; hence v=0. Therefore ∣ω(b∗a)∣2≤ω(a∗a)ω(b∗b).

2.1step 1.1algebra

Define N:={a∈Aloc:ω(a∗a)=0}. If a,b∈N, step 1.1 makes both mixed terms ω(a∗b) and ω(b∗a) zero, so ω((a+b)∗(a+b))=0; scalar multiples stay in N by homogeneity. Thus N is a vector subspace. The same inequality makes ⟨[a],[b]⟩:=ω(b∗a) independent of representatives in Aloc/N. This form is linear in its first argument, conjugate-linear in the second, conjugate symmetric, and positive definite on the quotient: ⟨[a],[a]⟩=0 implies a∈N and hence [a]=0.

3.1givenF2F3step 2.1algebra

Let a,b∈Aloc and choose one finite region containing both. In its matrix representation, c:=∥a∥2I−a∗a is Hermitian and positive, since ⟨cξ,ξ⟩=∥a∥2∥ξ∥2−∥aξ∥2≥0 for every vector ξ. By [F2], c1/2 exists in that same finite matrix algebra. Therefore b∗cb=(c1/2b)∗(c1/2b) and positivity of ω gives ω(b∗a∗ab)≤∥a∥2ω(b∗b). In particular, the null space N of step 2.1 is a left ideal under multiplication by local a: if b∈N, the inequality gives ω((ab)∗(ab))=0.

4.1A1F4step 2.1step 3.1algebra

Define π0(a)[b]:=[ab] for a,b∈Aloc. Step 3.1 shows this is well defined on the quotient. The bound there gives ∥π0(a)[b]∥2≤∥a∥2∥[b]∥2, so π0(a) extends uniquely to a bounded operator on the Hilbert completion Hω, with ∥π0(a)∥≤∥a∥. On quotient vectors, multiplication gives π0(a)π0(d)[b]=π0(ad)[b], and ⟨π0(a)[b],[c]⟩=ω(c∗ab)=⟨[b],π0(a∗)[c]⟩; continuity extends these identities to Hω.

5.1A1F1F5F6step 4.1algebra

For A∈A, represent it by a Cauchy sequence (an) in Aloc, as in the norm-completion construction. The estimate ∥π0(an)−π0(am)∥≤∥an−am∥ makes the operators operator-norm Cauchy. For each ξ∈Hω, completeness gives Tξ:=lim⁡nπ0(an)ξ; this is linear and bounded because (an) is norm bounded and ∥π0(an)ξ∥≤∥an∥∥ξ∥. Given ε>0, for all sufficiently large n,m the operator difference has norm at most ε; fixing such n and passing m→∞ gives ∥(π0(an)−T)ξ∥≤ε∥ξ∥, hence ∥π0(an)−T∥≤ε. Thus T∈B(Hω) is the operator-norm limit. Equivalent representatives give the same limit by the same estimate, defining πω(A):=T. Linearity follows because local approximants to A,B and λ∈C give approximants an+λbn to A+λB, and each π0 is linear. Passing ∥π0(an)∥≤∥an∥ to the limit also gives ∥πω(A)∥≤∥A∥, so πω is bounded and contractive. If (bn) represents B, then (anbn) represents AB by continuity of multiplication in A, and π0(anbn)=π0(an)π0(bn); taking operator-norm limits gives multiplicativity. For any x in a C*-algebra, ∥x∗∥2=∥xx∗∥≤∥x∥∥x∗∥ by the C*-identity and submultiplicativity; this gives ∥x∗∥≤∥x∥, and applying it to x∗ yields equality. Hence (an∗) represents A∗; the adjoint identity from step 4.1 and norm continuity of Hilbert adjoints [F6] give πω(A∗)=πω(A)∗. The constant sequence at I gives πω(I)=I.

6.1F1F3step 2.1step 5.1∎

Put Ωω:=[I]. Its squared norm is ω(I)=1. For every local a, πω(a)Ωω=[a]; these classes are dense by the definition of Hω, so Ωω is cyclic. For local a, ⟨πω(a)Ωω,Ωω⟩=ω(a) by the quotient inner product. Both sides are continuous in a and Aloc is dense in A, so the identity holds for every A∈A.

5 · Examples, experiments and counterexamples

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