Alphabeta Math
Pipeline-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.

Finite tensor density, observable and measurement language

1 · Prerequisites

2 · Summary

This page fixes finite ordered tensor registers, density matrices, bounded observable trace pairings, finite POVMs and their subsystem restrictions. The positive-temperature canonical preparation and a nonempty uniform energy band are adopted separately as physical assumptions. The finite independent model proves fixed-subsystem trace-norm convergence only under its explicit width condition; it does not assert global trace convergence or a generic interacting equivalence. A classical consistent family embeds as one quasilocal C-star state, without identifying general quantum states as classical. The regulated QFT branch uses a selected finite-mode coercive polynomial form realization and retains unresolved QSM normal-state and trace-Gibbs prerequisites. All probabilities remain model predictions, not reported frequencies; neither thermalization nor regulator removal is claimed.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

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

Finite Hermitian diagonalization

Statement

For every integer d≥1 and Hermitian matrix A∈Md(C), there is an orthonormal basis of Cd consisting of eigenvectors of A, and all eigenvalues are real. If in addition x∗Ax≥0 for every x∈Cd, every eigenvalue is nonnegative and the matrix A1/2 obtained by replacing each eigenvalue by its nonnegative square root is well defined.

Facts & Assumptions

Given: An integer d≥1 and a Hermitian matrix A∈Md(C); for the positivity conclusion, also assume x∗Ax≥0 for every x.

[F2]

A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value: a continuous real function on a nonempty compact metric space attains its maximum.

[F3]

Proof technique: Rayleigh maximization and induction on d.

Proof

1.1givenF1algebra

Identify Cd with R2d by real and imaginary coordinates. Its unit sphere is a closed bounded subset and is nonempty because d≥1; it is compact by [F1].

2.1givenF2step 1.1

The Rayleigh function f(x)=x∗Ax is real on the unit sphere, since A=A∗, and is continuous because each coordinate of f is a finite polynomial in the real and imaginary coordinates of x. By [F2] it has a maximizer u with u∗u=1.

3.1step 2.1algebra

Fix w with u∗w=0 and let g(t)=(u+tw)∗A(u+tw)/(u+tw)∗(u+tw) for real t. The denominator is 1+t2w∗w>0, so g is differentiable near 0; maximality of u gives g′(0)=0. Expanding numerator and denominator gives g′(0)=2Re⁡(w∗Au), hence the real part of w∗Au is zero.

4.1step 3.1algebra

Apply step 3.1 with iw in place of w. Since (iw)∗Au=−i w∗Au, its real part is the imaginary part of w∗Au; therefore w∗Au=0 for every w⊥u. Decompose Au=(u∗Au)u+w0 with w0⊥u; taking w=w0 yields w0∗Au=∥w0∥2=0. Thus Au=λu, where λ=u∗Au∈R.

5.1step 4.1algebra

If x⊥u, then u∗Ax=(Au)∗x=λu∗x=0, so u⊥ is invariant under A and the restriction of A to it is Hermitian. For d=1 the standard unit vector is already an eigenbasis. For d>1, induction on the dimension supplies an orthonormal eigenbasis on u⊥; adjoining u gives one for Cd.

6.1givenF3step 5.1algebra∎

For any unit eigenvector v with eigenvalue μ, positivity gives μ=v∗Av≥0. By [F3], each such μ has a unique nonnegative square root. In the eigenbasis from step 5.1, define A1/2 to be diagonal with entries μ. This matrix is nonnegative and squares to A; it is independent of choices inside repeated eigenspaces because the same scalar is assigned to every vector in that eigenspace.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Finite tensor density, observable and measurement language

Definition

Fix an integer q≥1, let V=Cq with its standard ordered orthonormal basis (∣j⟩)j=1q, and use the inner-product convention that is linear in the first argument. For each integer N≥0, write VN=V⊗N with the displayed factor order; V0=C. The lexicographically ordered product vectors form the chosen basis of VN, as in Ordered tensor registers, their inner product, and wire permutations.

A finite tensor density on VN is a density operator in the exact root-library sense of Density operator: a nonnegative endomorphism ρ with Tr⁡ρ=1. In the standard column coordinates this means ρ=ρ∗ and x∗ρx≥0 for every x.

A bounded observable matrix on VN is a Hermitian matrix A=A∗, with operator norm ∥A∥op=sup⁡∥x∥=1∥Ax∥. Its mathematical expectation functional in ρ is ωρ(A)=Tr⁡(ρA). This is a finite matrix trace pairing; its physical interpretation is supplied separately by a measurement postulate.

A finite POVM with r≥1 outcomes is a family M1,…,Mr of nonnegative matrices on VN with ∑a=1rMa=I. Each Ma is an effect, meaning 0≤Ma≤I; the upper bound follows because I−Ma=∑b≠aMb≥0. The numbers Tr⁡(ρMa) are its finite trace pairings. They are nonnegative and normalized when read as outcome probabilities under the adopted physical Born rule. Here M≥0 means M=M∗ and x∗Mx≥0 for every column vector x. This definition alone does not adopt the physical probability rule.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Dimensionless entropy of a finite density matrix

Definition

For a finite tensor density ρ on VN, list its eigenvalues with multiplicity as λ1,…,λqN. The finite Hermitian diagonalization in Finite Hermitian diagonalization and positivity of ρ give λi≥0 and ∑iλi=1. Define its dimensionless spectral entropy, measured in nats, by sN(ρ):=−∑i:λi>0λilog⁡λi, with 0log⁡0:=0. This is independent of the ordering of the eigenvalues, including when eigenvalues are repeated. It contains no physical entropy unit; here log⁡ is the natural logarithm of The natural logarithm as the inverse of the exponential function, and a later physical postulate may assign SN=kBsN.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Additive spectral Hamiltonian and normalized ensembles

Definition

Fix q≥1 and real level parameters e1,…,eq. Use the real exponential of The real exponential function and the number e by a power series and natural logarithm of The natural logarithm as the inverse of the exponential function. For N≥1, define the one-site diagonal matrix h∣j⟩=ej∣j⟩ and, for a=1,…,N, h(a)=I⊗(a−1)⊗h⊗I⊗(N−a),HN=∑a=1Nh(a). Thus the product basis vector ∣j1,…,jN⟩ has eigenvalue E(j1,…,jN)=∑a=1Neja; repeated level values remain distinct basis labels and therefore count as degeneracy.

For finite β∈R, put Z1=∑j=1qe−βej,pj=e−βejZ1,E=∑j=1qpjej. All terms in Z1 are positive, so Z1>0. Define the one-site canonical density γ=diag⁡(p1,…,pq). For N sites put ZN=∑(j1,…,jN)∈{1,…,q}Ne−β∑a=1Neja,γN=diag⁡(e−β∑a=1NejaZN)(j1,…,jN)∈{1,…,q}N. The mathematical definition permits β=0 and negative β as well as positive β; a physical positive-temperature interpretation is a separate assumption.

For a width δN≥0, define the spectral band label set and its projection by ΓN={(j1,…,jN):∣∑a=1Neja−NE∣≤δN},ΠN=∑j∈ΓN∣j⟩⟨j∣. Its rank is ΩN=Tr⁡ΠN=∣ΓN∣, which counts all basis vectors in the band, including degeneracy. When ΩN>0, define the normalized band density σN=ΠN/ΩN. If ΩN=0, this normalized density is undefined.

LemmaStatement: AI-adaptedProof: AI-generatedOpen item page →

Subsystem expectations and reduced finite tensor densities

Statement

Let VA,VB be nonzero finite-dimensional ordered tensor registers as in Ordered tensor registers, their inner product, and wire permutations, with the product orthonormal bases and linear-first inner products specified there. On any such register W, use finite tensor density to mean a matrix R with R=R∗, x∗Rx≥0 for every coordinate vector x, and Tr⁡R=1. Here R∗ is the conjugate transpose and Tr⁡R is the sum of its diagonal entries. A finite POVM on W is a family (Ma)a=1r, r≥1, of Hermitian matrices with x∗Max≥0 for every x and ∑aMa=IW; an effect is a Hermitian matrix M with 0≤M≤IW, meaning both M and IW−M are nonnegative in this sense. These conventions extend the identical coordinate definitions of Finite tensor density, observable and measurement language from W=(Cq)⊗N to arbitrary nonzero finite ordered registers. Let ρ be a finite tensor density on VA⊗VB. Then ρA:=Tr⁡Bρ is a finite tensor density on VA. For every matrix A on VA, Tr⁡(ρAA)=Tr⁡(ρ(A⊗IB)). For a finite POVM (Ma)a=1r on VA, the trace pairings of its outcomes in ρA equal the trace pairings of the lifted effects Ma⊗IB in ρ.

Facts & Assumptions

Given: The ordered tensor and density conventions specified in the Statement, a density ρ on VA⊗VB, and a finite POVM when the last claim is used.

[F1]

Partial trace over a finite tensor factor: the partial trace contracts the second tensor factor in the specified product basis.

[F2]

The partial trace is characterized by the trace pairing and is basis-independent: its trace-pairing identity is tr⁡((Tr⁡BR)T)=tr⁡(R(T⊗IB)).

[F3]

The partial trace preserves non-negativity and total trace: partial trace preserves non-negativity and total trace.

[F4]

Ordered tensor registers, their inner product, and wire permutations: the ordered product basis is orthonormal for the product inner product and spans VA⊗VB.

[F5]

Tensor products of finitely many linear maps: M⊗IB is the linear tensor map sending x⊗y to Mx⊗y.

[F6]

The Statement's extension of Finite tensor density, observable and measurement language: a finite POVM on any of the stated registers is a family of nonnegative matrices whose sum is the identity.

Proof

1.1givenF1F3

By the coordinate definition [F1], ρA is the second-factor partial trace. Apply [F3] to the nonnegative trace-one operator ρ. It gives ρA≥0 and Tr⁡ρA=Tr⁡ρ=1; therefore ρA is a finite tensor density by the Statement's explicit definition on VA.

2.1givenF2F4F5F6algebra∎

Apply [F2] with R=ρ and T=A to obtain the displayed expectation identity. If (Ma) is a POVM, choose an orthonormal basis (bj)j=1dim⁡VB of VB. For x=∑jxj⊗bj, the product inner product [F4] and tensor map [F5] give ⟨(Ma⊗IB)x,x⟩=∑j⟨Maxj,xj⟩≥0, where nonnegativity of each Ma follows from [F6]; hence every lifted matrix is nonnegative. Moreover, ∑a=1rMa⊗IB=(∑a=1rMa)⊗IB=IA⊗IB=IVA⊗VB; the final identity holds on every elementary tensor, hence on the whole finite tensor product by [F5]. Therefore the lifts are a POVM, and each is an effect because its complement is the sum of the other nonnegative lifts by [F6]. Substituting A=Ma in the trace-pairing identity shows that each lifted outcome pairing equals the corresponding reduced-state pairing.

DefinitionDefinition: AI-adaptedProof: AI-generatedOpen item page →

Quasilocal completion of finite matrix registers

Definition

Fix q≥1 and the ordered registers VN=(Cq)⊗N, with V0=C. Here End⁡(VN) is the space of linear maps VN→VN as in Linear map between vector spaces over the same field. For such a map define its operator norm by ∥A∥:=sup⁡∥x∥=1∥Ax∥, using the ordered tensor inner product of Ordered tensor registers, their inner product, and wire permutations. In its ordered orthonormal product basis define the adjoint by (A∗)ij=Aji‾. For the linear-first inner product this gives ⟨Ax,y⟩=⟨x,A∗y⟩ for all x,y∈VN. Embed AN=End⁡(VN) into AN+1 by ιN(A)=A⊗Iq. Write a vector in VN⊗Cq as x=∑j=1qxj⊗∣j⟩. Then ∥(A⊗Iq)x∥2=∑j=1q∥Axj∥2≤∥A∥2∑j=1q∥xj∥2=∥A∥2∥x∥2. Testing on unit simple tensors v⊗∣1⟩ and taking the supremum over unit v gives the reverse norm inequality, hence ∥A⊗Iq∥=∥A∥. The embeddings are isometric unital *-homomorphisms. For m≥N, define ιN,m(A)=A⊗Iq⊗(m−N) and identify A∈AN with its image at every larger register. For a two-step inclusion the maps fit into this commutative diagram:

ANAN+1AN+2NN;N+2N+1

The curved arrow tensors with two identities, and the upper path tensors with one identity twice; both send A to A⊗Iq⊗Iq. Let Aloc=⋃N≥0AN with the induced norm, product and adjoint. Define A=Aloc‾ in this norm. This is the quasilocal matrix algebra for the one-dimensional ordered register chain; it is a unital C*-algebra with unit the common image of 1∈A0.

The sequence (AN,ιN) is the specified inductive system. This definition concerns one fixed local matrix size q and makes no claim about a physical lattice geometry or dynamics.

Facts & Assumptions

Given: q≥1, the ordered finite tensor registers, and their finite operator norms.

[F1]

Ordered tensor registers, their inner product, and wire permutations: the ordered product basis spans each finite tensor register and its inner product is the product inner product.

[F2]

C star algebra: a C*-algebra is a complete normed -algebra satisfying the C-identity.

[F3]

Finite Hermitian diagonalization: every finite Hermitian matrix has an orthonormal eigenbasis with real eigenvalues.

[F4]

Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs: the inner-product pairing obeys ∣⟨u,v⟩∣≤∥u∥∥v∥.

Proof

1.1givenF1algebra

The decomposition x=∑jxj⊗∣j⟩ is orthogonal in the product basis [F1], and A⊗Iq sends each summand to Axj⊗∣j⟩. The displayed sum-of-squares formula follows. It proves ∥A⊗Iq∥≤∥A∥. For every unit v, ∥(A⊗Iq)(v⊗∣1⟩)∥=∥Av∥; taking the supremum over unit v proves the opposite inequality. Thus ιN is isometric.

2.1givenF1F2F3F4step 1.1algebra∎

The conjugate-transpose formula gives (αA+βB)∗=α‾A∗+β‾B∗, (A∗)∗=A and (AB)∗=B∗A∗ by conjugating and reversing the finite coordinate sums for matrix multiplication. For A∈AN, the finite Hermitian matrix A∗A is nonnegative, since x∗A∗Ax=∥Ax∥2≥0. By [F3] its eigenvalues are nonnegative, and in an orthonormal eigenbasis ∥A∥2=sup⁡∥x∥=1x∗A∗Ax=max⁡spec⁡(A∗A)=∥A∗A∥. Indeed, if its eigenvalues are λi≥0, then x∗A∗Ax=∑iλi∣xi∣2 and ∥A∗Ax∥2=∑iλi2∣xi∣2. The unit-vector suprema are max⁡iλi and (max⁡iλi)2, respectively. Thus every local matrix algebra satisfies the C*-identity. Tensor multiplication and adjoint give (A⊗I)(B⊗I)=(AB)⊗I and (A⊗I)∗=A∗⊗I, while I⊗I is the unit. Hence these maps are unital -homomorphisms, and their compatible inclusions make the union operations well-defined. Operator-norm submultiplicativity follows from ∥ABx∥≤∥A∥∥B∥∥x∥. By [F4], ∥z∥=sup⁡∥x∥=1∣⟨z,x⟩∣, with equality at x=z/∥z∥ when z≠0. The adjoint identity gives ∥A∗y∥=sup⁡∥x∥=1∣⟨y,Ax⟩∣≤∥A∥∥y∥; applying this to A∗ proves ∥A∗∥=∥A∥. Hence the union is a normed -algebra satisfying the C-identity. The norm completion preserves product, involution and that identity by continuity, and is complete by construction. By [F2] it is a C-algebra.

PostulateStatement: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)Open item page →

Adopted finite canonical and band preparation rules

Physical scope

Adopted preparation assignments for the explicitly finite, noninteracting q-level tensor model: canonical finite-temperature density and, when nonempty, a uniform exact energy-band density. These rules are conditional model inputs; they do not assert dynamical thermalization, experimental frequencies, data, or a continuum or interacting limit.

Postulate

For the finite q-level tensor model of Additive spectral Hamiltonian and normalized ensembles, adopt the following preparation rules in addition to the state and outcome assumptions P1 and P2 of State and composition postulate P1: Hilbert spaces, preparations and composite systems and Observable and probability postulate P2: self-adjoint observables, spectral probability and finite unsharp outcomes. The quantities in this item are model assignments; they are not inferred from the cited texts or from data.

  1. For declared temperature T>0 kelvin and Boltzmann constant kB=1.380649×10−23 J K−1, the fixed exact SI Boltzmann constant, use β=(kBT)−1>0 joules−1. In this formulation kB is the primitive SI conversion constant between temperature and energy; it is not derived from this finite-level model or fitted from its data. The real scalar levels ej in Additive spectral Hamiltonian and normalized ensembles are primitive model energy parameters in joules. The total label energy E(j1,…,jN)=∑a=1Neja and the one-site canonical mean E=∑j=1qpjej defined there are derived scalar energies in joules. Adopt the canonical finite density γN of that definition.
  2. For declared band width δN≥0 in joules, if its label set ΓN is nonempty, the uniform band preparation is the density σN=ΠN/∣ΓN∣ from that definition. If the set is empty, this normalized preparation is undefined and no band state is assigned.
  3. For a stated finite POVM (Ma) on the register, the outcome law is the adopted Born law pa=Tr⁡(ρMa) of P2. A prediction is the resulting model probability, not a reported detector frequency.

The positive-temperature interpretation uses SI units as fixed in Dimensions, SI unit conventions and quantity types of the framework. No preparation mechanism, thermalization process, sampling law, apparatus error, or observed data is asserted. A statement that a physical preparation realizes one of these densities requires a separate empirical identification and uncertainty analysis.

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

Factorization of finite additive canonical densities

Statement

Use the finite additive spectral data of Additive spectral Hamiltonian and normalized ensembles. For every N≥1, ZN=Z1N. For each product label j=(j1,…,jN), the diagonal entry of γN is ∏a=1Npja and its off-diagonal entries are zero. For each integer k with 1≤k≤N, write x,x′∈{1,…,q}k and y∈{1,…,q}N−k, and define the first-k reduced matrix RN,k by (RN,k)x,x′:=∑y∈{1,…,q}N−k(γN)(x,y),(x′,y). When k=N, the tail-label set consists of the single empty tuple. Then RN,k=γk, where γk is the diagonal matrix on Vk=(Cq)⊗k with entries (γk)x,x=∏a=1kpxa, and the canonical state has expected additive energy NE.

Facts & Assumptions

Given: A finite alphabet {1,…,q}, real levels ej, finite β∈R, and the canonical matrices and partition sums of Additive spectral Hamiltonian and normalized ensembles.

[F1]

Additive spectral Hamiltonian and normalized ensembles: the energy of a product label is ∑aeja and its canonical weight is the exponential of −β times that energy.

[F2]

The exponential addition formula exp⁡(x+y)=exp⁡(x)exp⁡(y): for real x,y, exp⁡(x+y)=exp⁡(x)exp⁡(y).

[F3]

The real exponential function and the number e by a power series: ex denotes the real exponential exp⁡(x) defined by its power series.

Proof

1.1givenF1F2F3algebra

By [F1] and the notation in [F3], each label weight uses the real exponential ex=exp⁡(x). Apply [F2] repeatedly and use distributivity of finite sums to obtain ZN=∑j1,…,jN∏a=1Ne−βeja=∏a=1N∑ja=1qe−βeja=Z1N. For each product label, division by this positive denominator makes its canonical diagonal entry ∏apja, while off-diagonal entries vanish. This is the matrix description of γN in the Statement.

2.1givenF1step 1.1algebra∎

For first-block labels x,x′, the matrix entry (γN)(x,y),(x′,y) vanishes when x≠x′, since γN is diagonal in the product basis. For x=x′, its value is ∏a=1kpxa∏a=k+1Npya−k. Summing over the tail labels in the definition of RN,k gives (RN,k)x,x=∏a=1kpxa, because each tail factor has sum ∑j=1qpj=1. Hence RN,k=γk. Finally the canonical state's mean energy is ∑j1,…,jN(∏apja)∑aeja=∑a=1N∑japjaeja=NE, because every other factor sum is one.

TheoremStatement: AI-adaptedProof: AI-generatedOpen item page →

Consistent finite classical laws define a quasilocal C-star state

Statement

Let q≥1 and, for every N≥1, let μN:{1,…,q}N→[0,1] satisfy ∑x∈{1,…,q}NμN(x)=1. Assume consistency under deleting the last coordinate in the explicit sense that, for every N≥1 and x∈{1,…,q}N, μN(x)=∑j=1qμN+1(x,j). For a local matrix A∈AN, N≥1, define ωN(A)=∑x∈{1,…,q}NμN(x)Axx. For each N≥1, if f:{1,…,q}N→C and Df is the diagonal matrix with entries (Df)xx=f(x), then ωN(Df)=∑xμN(x)f(x). This rule extends uniquely from the local algebra Aloc to a state on its norm completion A of Quasilocal completion of finite matrix registers. The theorem constructs a classical diagonal state; it does not say that every state on A is diagonal or classical.

Facts & Assumptions

Given: Consistent probability laws μN and the local embeddings in Quasilocal completion of finite matrix registers.

[F1]

Quasilocal completion of finite matrix registers: each local matrix has a well-defined operator norm, the embeddings preserve it, and Aloc is dense in its C*-completion.

[F2]

States and positive functionals on a C star algebra: a state is a positive bounded linear functional of norm one.

[F3]

Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs: the inner-product pairing obeys ∣⟨u,v⟩∣≤∥u∥∥v∥.

Proof

1.1givenF1algebra

Under the inclusion A↦A⊗Iq, the diagonal entry at (x,j) equals Axx. Consistency of μN+1 says ∑jμN+1(x,j)=μN(x); substituting this identity into ωN+1(A⊗Iq) gives ωN(A). Hence the rule is well-defined on the union of positive-length local matrix algebras. Define ω0(cI)=c on A0=CI. It agrees with the N=1 formula because ∑xμ1(x)=1. Each ωN is linear, and these identities show the rule on the full union is linear and satisfies ω(1)=1.

2.1givenF1F3step 1.1algebra

For a local matrix A, positivity of the weights gives ∣ωN(A)∣≤∑xμN(x)∣Axx∣≤∥A∥ because ∣⟨Aex,ex⟩∣≤∥A∥ by [F3], and the same marginal calculation makes the functionals consistent. Thus ∣ω(A)∣≤∥A∥ on Aloc. If An is a norm-Cauchy sequence of local matrices, (ω(An)) is Cauchy; define its limit to extend ω. The bound proves independence of approximating sequence, linearity and continuity, and density makes the extension unique.

3.1givenF1F2step 2.1algebra∎

If An→A in norm, then An∗An→A∗A by continuity of multiplication and adjoint in the C*-norm. For local An, its diagonal entries obey ⟨An∗Anex,ex⟩=∥Anex∥2≥0, so ω(An∗An)≥0. Passing to the limit shows positivity of the extension. Its norm is at most one by step 2.1 and at least one because ω(1)=1 and ∥1∥=1. Hence it is a state by [F2].

TheoremStatement: Literature-sourcedProof: AI-generatedOpen item page →

Fixed-subsystem equivalence for independent finite energy shells

Statement

Fix q≥1, real one-site levels ej, finite β∈R, and the ensembles of Additive spectral Hamiltonian and normalized ensembles. Suppose for every N the band width obeys δN≥q∑j=1q∣ej∣,δN/N⟶0. Then every band is nonempty. For each fixed integer k≥1 and N≥k, define σN,k by its product-basis entries, for x,x′∈{1,…,q}k, (σN,k)x,x′=∑y∈{1,…,q}N−k(σN)(x,y),(x′,y), with a single empty tail label when N=k. Define γk to be the diagonal matrix on Vk=(Cq)⊗k with entries (γk)x,x=∏a=1kpxa and zero off the diagonal. Then ∥σN,k−γk∥1→0,1NsN(σN)→−∑j=1qpjlog⁡pj. Here ∥D∥1 for a Hermitian finite matrix is the sum of absolute values of its eigenvalues, and sN is dimensionless spectral entropy. This is an independent finite-alphabet result; it asserts neither global trace-norm convergence nor an interacting or continuous-model equivalence.

Facts & Assumptions

Given: The preceding finite additive ensemble data and the exact width conditions above.

[F1]

Finite-site microcanonical and canonical block equivalence: under the stated finite alphabet, additive energies, and width hypotheses, every shell is nonempty, each fixed-k shell-label marginal converges in total variation to p⊗k, and N−1log⁡∣ΓN∣→−∑jpjlog⁡pj.

[F2]

Subsystem expectations and reduced finite tensor densities: reduced density expectations are partial-trace pairings, and partial trace preserves density matrices.

[F3]

Factorization of finite additive canonical densities: the canonical density has diagonal weights ∏a=1Npja, and its first-k reduction has diagonal entries ∏a=1kpxa and zero off the diagonal.

[F4]

Dimensionless entropy of a finite density matrix: for eigenvalues λi of a finite density, sN=−∑λi>0λilog⁡λi.

[F5]

Finite tensor density, observable and measurement language: a bounded observable is a Hermitian matrix with operator norm ∥A∥op=sup⁡∥x∥=1∥Ax∥.

[F6]

Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs: the inner-product pairing obeys ∣⟨u,v⟩∣≤∥u∥∥v∥.

Proof

1.1givenF1algebra

Apply [F1] to the finite alphabet, levels, β and δN in the statement. It gives ΩN=∣ΓN∣>0 and the classical k-label marginal convergence. Since σN is diagonal with equal weight on each label in ΓN, the coordinate formula for partial trace sums over the last N−k labels and yields the diagonal density whose entries are exactly that marginal.

1.2givenF1F4algebra

By [F4], the eigenvalues of σN are 1/ΩN with multiplicity ΩN and zero otherwise. The entropy definition therefore gives sN(σN)=log⁡ΩN. Dividing by N and applying the entropy limit in [F1] proves the second conclusion.

2.1step 1.1F1algebra

Both σN,k and γk are diagonal. For diagonal matrices, the eigenvalues of their difference are their diagonal entry differences; therefore its trace norm is the sum of the absolute marginal differences, which is twice total variation. The convergence in [F1] gives ∥σN,k−γk∥1→0 for each fixed k.

3.1F2F3F5F6algebra∎

[F3] identifies the canonical k-site state as γk, so the trace-norm convergence already proved compares the shell reduction with the specified canonical reduction. For every Hermitian local observable A, diagonalizing the Hermitian difference D=σN,k−γk gives ∣Tr⁡(DA)∣≤∥A∥∥D∥1: in that eigenbasis each diagonal expectation of A has absolute value at most ∥A∥. Thus the same conclusion controls every fixed bounded local observable, including ones not diagonal in the energy basis. By [F5] and Cauchy–Schwarz [F6], the bound uses the declared operator norm. The statement fixes k before the limit and makes no claim about a global trace distance.

DefinitionDefinition: Literature-sourcedProof: Not applicableOpen item page →

Finite coercive regulated polynomial model

Physical scope

A fixed finite-mode coercive real polynomial form Hamiltonian, its selected self-adjoint form realization and trace-class Gibbs operator, with normal-state Born interpretation conditional on the current batch-36 QSM postulate, whose readiness is unresolved. There is no regulator removal, continuum interacting QFT, or empirical realization claim.

Definition

Fix a finite integer r≥1, positive coefficients aj, a real polynomial V on Rr, and constants c>0,C0≥0 such that V(q)≥c∣q∣2−C0. Use the QFT supplier's form realization of Finite-lattice polynomial Hamiltonian data and Self-adjoint unbounded polynomial interaction at fixed regulator on L2(Rr,dq), and denote its self-adjoint operator by h. This item's regulated polynomial model is the tuple of these finite data, the selected form realization, and an energy scale E∗>0 joules, with H=E∗h. The coordinate q and coefficients are dimensionless rescaled model parameters unless another dimensional map is explicitly supplied. The class includes V(q)=∣q∣2 as well as potentials with higher-degree terms or terms coupling coordinates; neither higher-degree terms nor coupling is required. No limit in r is included.

For each b>0, Finite-regulator Gibbs trace and bounded expectations proves Tr⁡(e−bh)<∞ and positivity. Thus for physical β>0 in joules−1, b=βE∗>0 and ρβ=e−βHZβ,Zβ=Tr⁡(e−βH)∈(0,∞) is a trace-one positive trace-class density. Its interpretation as a normal quantum measurement state uses the current batch-36 draft carrier Normal-state quantum measurement interpretation, which adopts a trace-class density on a specified separable Hilbert space and the PVM Born law Pρ{A∈C}=Tr⁡(ρEA(C)). This interface matches the mathematical state constructed here. The mathematical probability and bounded trace-pairing inputs now have exact canonical suppliers through the trace-state calculus. The normal-state interpretation remains an adopted physical premise; source adoption is separate from native readiness and empirical validation. The QFT mathematical trace theorem remains the mathematical supplier.

This selected finite-regulator realization does not assert essential self-adjointness of the bare compact-support differential expression, a unique realization among all self-adjoint extensions, regulator removal, or an interacting continuum theory.

Physics theoremStatement: AI-adaptedProof: AI-generatedjudge pass (gpt-6-luna)Open item page →

Fixed-block measurement predictions under independent shell preparation

Physical scope

Conditional predictions for a specified finite q-level noninteracting tensor model, adopted canonical and uniform-band preparations, a fixed finite subsystem and a declared finite POVM. No detector frequencies, thermalization, interacting or growing-block conclusion is asserted.

Statement

Assume the physical preparation postulate Adopted finite canonical and band preparation rules, and the exact independent-shell hypotheses and notation of Fixed-subsystem equivalence for independent finite energy shells. In the physical interpretation fixed by the preparation postulate, the primitive scalar levels ej and total label energies are in joules, the band widths δN are in joules, T is in kelvin, and β=(kBT)−1>0 is in joules−1. For each fixed k and each fixed r-outcome POVM (Ma)a=1r on the k-site register, define the conditional model probabilities pN,ash:=Tr⁡(σN,kMa) and pN,acan:=Tr⁡(γkMa) for N≥k. They satisfy ∑a=1r∣pN,ash−pN,acan∣⟶0. This is a conditional prediction for the adopted states and specified measurement; it supplies no empirical frequencies or sampling inference.

Facts & Assumptions

Given: An integer q≥1, real finite additive levels, finite β, widths satisfying δN≥q∑j∣ej∣ and δN/N→0, fixed k,r, and a fixed finite POVM on the first k sites.

[A1]

Adopted finite canonical and band preparation rules: under the adopted preparation rule the two states are the canonical density and the normalized uniform band density, and P2 assigns POVM probabilities by trace pairings.

[F1]

Fixed-subsystem equivalence for independent finite energy shells: the fixed-k reduced states converge in trace norm.

[F2]

Finite tensor density, observable and measurement language: each POVM outcome is a positive effect, and the finite trace pairing is the expectation used here.

Proof

1.1givenA1F2algebra

By [A1], the local laws are pN,ash=Tr⁡(σN,kMa) and pN,acan=Tr⁡(γkMa). Put DN=σN,k−γk. The states are diagonal in the common product energy basis. Write dN,x=(DN)xx and ma,x=(Ma)xx for its diagonal entries in the product basis. Positivity and completeness of the POVM imply ma,x≥0 and ∑ama,x=1 for every basis label x. Thus Tr⁡(DNMa)=∑xdN,xma,x.

2.1A1F1step 1.1algebra∎

Apply the triangle inequality and sum over the finite outcomes: ∑a∣Tr⁡(DNMa)∣≤∑x∣dN,x∣∑ama,x=∑x∣dN,x∣=∥DN∥1. By [F1] this last quantity tends to zero for fixed k, proving the claim. The calculation compares model probabilities only. It makes no inference from finite observations, which would require separately declared sampling and apparatus assumptions.

Physics theoremStatement: Literature-sourcedProof: AI-generatedOpen item page →

Trace-Gibbs predictions for coercive finite regulators

Physical scope

Conditional finite-mode, coercive polynomial trace-Gibbs model at positive temperature and finite-form-energy normal competitors. The three QSM batch-36 carriers remain drafts; their repaired mathematical inputs now have exact canonical carriers, with native readiness separate. No data, thermalization, regulator removal, or continuum interacting QFT claim is made.

Statement

Assume the Axiom of Choice and the finite regulated model of Finite coercive regulated polynomial model, the current draft thermal preparation interface Canonical quantum thermal preparation, the current draft normal-state interface Normal-state quantum measurement interpretation, and the current draft mathematical theorem Self-adjoint trace-Gibbs normalization and form-energy optimization. Its inspected exact interface is: for a nonzero separable complex Hilbert space and a densely defined self-adjoint A bounded below, if e−βA is trace class for every β in an open interval I⊂(0,∞), then Zβ∈(0,∞) and ρβ=e−βA/Zβ is a faithful normal density; every normal density of finite absolute spectral form energy satisfies EA(ρ)−TS(ρ)≥Fβ, with equality exactly at ρ=ρβ. The theorem assumes AC. Under these conditions, for each β>0 J−1 the model state is ρβ=e−βE∗h/Zβ, with 0<Zβ<∞, and the stated free-energy inequality holds for every normal density ρ whose spectral law μρ(C)=Tr⁡(ρEH(C)) has finite first absolute moment ∫∣λ∣ dμρ(λ)<∞. The energy EH(ρ)=∫λ dμρ(λ) and free energy are in joules, entropy S(ρ) is in joules per kelvin, and T>0 is in kelvin. The conditional result is for the selected fixed finite-mode form realization. It asserts no cutoff removal or empirical realization.

Facts & Assumptions

Given: AC, Countable Choice, finite r≥1, coercive polynomial data and selected form realization as in the regulated-model definition, energy scale E∗>0 J, and temperature parameter β>0 J−1.

[F1]

Finite-regulator Gibbs trace and bounded expectations: for the self-adjoint lower-bounded finite polynomial form realization, e−bh is positive trace class with finite positive trace for every b>0.

[F2]

Quantum spectral entropy and relative-entropy domains: for a trace-class density with positive eigenvalues pi, spectral entropy is S(ρ)=−kB∑ipilog⁡pi, possibly infinite; the logarithm is natural and acts on dimensionless density eigenvalues.

[A1]

Canonical quantum thermal preparation (current batch-36 draft): for T>0, β=(kBT)−1 and the canonical trace-Gibbs density is adopted when the stated open-interval trace hypotheses hold. This is a preparation assumption, not thermalization.

[A2]

Self-adjoint trace-Gibbs normalization and form-energy optimization (current batch-36 draft): assume AC, a nonzero separable Hilbert space, self-adjoint lower-bounded H and trace class e−βH for β in an open positive interval. Then each normal density of finite absolute spectral form energy has finite entropy and satisfies EH(ρ)−TS(ρ)≥Fβ, with equality exactly at the normalized Gibbs density.

[A3]

Normal-state quantum measurement interpretation (current batch-36 draft): a prepared normal state is a trace-class density on a specified separable Hilbert space, and a sharp self-adjoint measurement with spectral PVM EA assigns Pρ{A∈C}=Tr⁡(ρEA(C)). Algebraic states are not identified with normal states by this postulate.

[A4]

The Axiom of Choice: assume AC, as required by [A2].

Proof

1.1givenF1algebra

The selected form realization in the model is self-adjoint and bounded below; write its lower bound as h≥−C0I. Multiplication by E∗>0 preserves self-adjointness and gives H=E∗h≥−E∗C0I. Theorem [F1] applies at b=βE∗>0, yielding 0<Zβ=Tr⁡(e−βH)<∞ and a positive trace-class numerator. Dividing by Zβ produces a positive trace-class operator of trace one.

2.1givenA2A4F1F2step 1.1

Since the same trace finiteness holds for every b>0 by [F1] and AC is assumed explicitly by [A4], the map e−βH is trace class for every β>0; in particular it is trace class on an open interval around the chosen positive β. The entropy notation for normal densities is fixed by [F2]. The model, units, and this normal density meet the hypotheses in [A2] under its stated AC and finite-form-energy competitor conditions. Substitution into that conditional variational theorem gives the free-energy inequality and uniqueness on exactly that competitor domain.

3.1A1A2A3step 1.1∎

Under the preparation assumptions [A1] and [A3], the density obtained in step 1.1 supplies the stipulated normal Born predictions for each declared sharp measurement with spectral PVM. The batch-36 postulates remain adopted draft physical premises; this conditional argument does not establish native readiness or empirical validity for them. Neither [A1] nor [A2] asserts a physical process that drives states to the Gibbs density.

Supplier adoption status

The three batch-36 interfaces match the conditional uses above. The trace-Gibbs theorem now cites the exact canonical fixed-temperature trace-Gibbs model and summable canonical differentiation carriers, replacing the historical M33/M16 research placeholders. This supplies its mathematical normalization, discrete spectral and local moment-envelope clauses without extending the finite-form-energy competitor domain. The preparation and normal Born interpretations remain explicit physical assumptions. Native review, input rebinding and readiness are separate obligations; this source adoption is not acceptance.

5 · Examples, experiments and counterexamples

None yet.

Sources