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Finite Gibbs density and its canonical purification

Statement

Let H be a nonzero finite-dimensional complex Hilbert space of dimension d≥1, K=K∗ an endomorphism, and β>0. Define Zβ=Tr⁡(e−βK) and ρβ=Zβ−1e−βK. Given an ordered orthonormal basis (ej)j=1d and its identified copy in a reference space HR, define ∣Φd⟩=d−1/2∑j=1dej⊗ej,∣Ψβ⟩=d/Zβ(e−βK/2⊗IR)∣Φd⟩. Then Zβ>0, ρβ is a density operator, ∣Ψβ⟩ is a unit vector, and Tr⁡R(∣Ψβ⟩⟨Ψβ∣)=ρβ. If K is interpreted as energy, the product βK is dimensionless.

Facts & Assumptions

Given: H≠{0} has finite dimension d; K is Hermitian; β>0; and the ordered orthonormal bases and reference copy are as displayed.

[F1]

Finite matrix spectral and state calculus: a finite Hermitian matrix has real eigenvalues and a basis-independent functional calculus; in an eigenbasis, the trace is the sum of diagonal entries.

[F2]

Density operator: in finite dimension a density operator is positive with trace one.

[F3]

Partial trace over a finite tensor factor: in ordered product bases, (Tr⁡RX)jk=∑ℓX(j,ℓ),(k,ℓ).

[F4]

The partial trace is characterized by the trace pairing and is basis-independent: the finite partial trace is independent of the chosen reference basis and is uniquely characterized by its trace pairing.

Proof

1.1givenF1F2algebra

By [F1], choose an orthonormal eigenbasis of K with real eigenvalues λ1,…,λd. Then Zβ=∑je−βλj is a finite sum of strictly positive real numbers, so Zβ>0. The operator ρβ is diagonal in this basis with positive entries e−βλj/Zβ, whose sum is one; [F2] therefore makes it a density operator.

2.1givenstep 1.1F1algebra

Keep the arbitrary ordered orthonormal basis (ej) and its given reference copy (ej′) from the Statement. Put T=e−βK/2, so the defining vector is Ψβ=Zβ−1/2∑jTej⊗ej′. Orthogonality of the reference vectors gives ∥Ψβ∥2=Zβ−1∑j∥Tej∥2=Zβ−1Tr⁡(T∗T)=1, because [F1] gives T∗=T and T∗T=e−βK, and step 1.1 gives its trace Zβ. This uses the given basis, without requiring it to diagonalize K.

3.1givenstep 1.1step 2.1F1F3F4algebra∎

In those same given bases, Ψβ has coefficient Tjℓ/Zβ at ej⊗eℓ′. Thus [F3] gives the reduced matrix entry Zβ−1∑ℓTjℓTkℓ‾=(TT∗)jk/Zβ=(ρβ)jk, since TT∗=e−βK by [F1]. Equivalently, the reduction is Zβ−1∑ℓ∣Teℓ⟩⟨Teℓ∣=TT∗/Zβ. The intrinsic characterization [F4] identifies this coordinate result with the finite partial trace, so the system marginal equals ρβ for every allowed original basis and reference copy. No basis independence of the purification vector itself is asserted.

Depends on

Dependency tree · 2 levels

Sources