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LemmaStatement: Literature-sourcedProof: AI-generatedPipeline-generatedverified 2026-10-22 (gpt-6.1-sol)
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The finite Potts Gibbs matrix is well-defined at every finite inverse temperature

Statement

For Q∈{2,3,4}, L≥1, real coefficients Ji, and finite real β, the matrix HQ,L(J) defined on the Potts-clock chain is self-adjoint. With the spectral definitions Bβ, Zβ, and ρβ from that definition, Zβ>0 and ρβ is a positive semidefinite matrix of trace one. This is a finite-dimensional mathematical fact; it makes no thermodynamic-limit or empirical claim.

Facts & Assumptions

Given: Q∈{2,3,4}, integer L≥1, real Ji, and β∈R.

[A1]

These finite-dimensional parameters and coefficients have the ranges just stated.

[F1]

Finite Hermitian Potts-clock chain: Pj=∣+⟩⟨+∣, Dj,j+1=∑a∣aa⟩⟨aa∣, e2j−1=Q Pj, e2j=Q Dj,j+1, and HQ,L=−∑iJiei; the inner product is linear in its first argument; Πλ is the self-adjoint idempotent projection onto the λ-eigenspace, the projections sum to the identity, and Bβ is the spectral sum with weights e−βλ. A self-adjoint A is positive definite if ⟨Av,v⟩>0 for every nonzero v, and positive semidefinite if ⟨Av,v⟩≥0 for every v.

[F2]

Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space: an endomorphism is self-adjoint when it equals its adjoint; a self-adjoint endomorphism is normal.

[F3]

Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely: a normal endomorphism of a finite-dimensional complex inner-product space has an orthonormal eigenbasis.

[F4]
[F5]

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

Proof

1.1A1F1F2algebra

Each Pj is an orthogonal projection because ⟨+∣+⟩=1. Each Dj,j+1 is a sum of mutually orthogonal rank-one projections onto the computational vectors ∣aa⟩. Hence these operators are self-adjoint; since Q and each Ji are real, every ei and then HQ,L=−∑iJiei are self-adjoint.

2.1A1F1F2F3F4step 1.1algebra

By [F2] and [F3], HQ,L has an orthonormal eigenbasis. For a unit eigenvector v with HQ,Lv=λv, self-adjointness and the linear-first inner-product convention give λ=⟨HQ,Lv,v⟩=⟨v,HQ,Lv⟩=λ‾, so every eigenvalue λ is real. The distinct-eigenvalue projections Πλ are self-adjoint and sum to the identity by [F1]. Each weight wλ=e−βλ is finite, real, and strictly positive by [F4]. Therefore Bβ=∑λwλΠλ is self-adjoint, and for every nonzero v, ⟨Bβv,v⟩=∑λwλ∥Πλv∥2>0: at least one projected component is nonzero since ∑λΠλ=I. Thus Bβ is positive definite.

3.1A1F1F5step 2.1algebra

In an orthonormal eigenbasis, [F5] gives Zβ=tr⁡Bβ=∑λwλdim⁡(ran⁡Πλ). The space has finite positive dimension QL, so this is a finite sum with at least one positive term; hence Zβ is finite and strictly positive. It is a real scalar. Dividing the self-adjoint positive definite Bβ by Zβ gives a self-adjoint positive semidefinite ρβ, and tr⁡ρβ=Zβ−1Zβ=1.

4.1A1F1F4F5algebra∎

If all Ji=0, then HQ,L=0; if β=0, all spectral weights also equal e0. By [F4] at x=0, a:=e0>0 and a=1/a, so a=1. In either boundary case B=I, Z=QL by [F5], and ρ=I/QL.

Depends on

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