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Noncommuting entropy production and thermal secular models

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

DefinitionDefinition: AI-adaptedProof: AI-adaptedprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

Finite energy-resolved GKSL thermal model

Definition

Let d≥1 and let H=Cd with its standard complex inner product. Let H=H∗ on H be a Hamiltonian matrix with entries in joules, let ℏ>0 have units joule-seconds, and let S1,…,Sm be a finite family of dimensionless Hermitian matrices, where m≥0. Write the finite spectral decomposition H=∑E∈spec⁡(H)EPE, where PE are pairwise orthogonal spectral projections and ∑EPE=Id. The Bohr-frequency set is

ΩH:={(E′−E)/ℏ:E,E′∈spec⁡(H)}⊂R,

whose frequencies have units seconds−1. For each ω∈ΩH and 1≤a≤m, define the dimensionless energy-resolved coupling

Sa(ω):=∑E,E′∈spec⁡(H)E′−E=ℏωPESaPE′.

Let β∈R have units joules−1. For each ω∈ΩH, choose a finite rate matrix Γ(ω)=(γab(ω))a,b=1m, with entries in seconds−1, that is positive semidefinite in the explicit sense that Γ(ω)=Γ(ω)∗ and v∗Γ(ω)v≥0 for every v∈Cm, and require the thermal balance relation

γab(−ω)=e−βℏωγba(ω).

Let HLS=HLS∗ be a Hermitian matrix with units joules satisfying [HLS,H]=0. For dimensionless X∈Md(C), the finite energy-resolved generator is the linear map

L(X)=−iℏ[H+HLS,X]+∑ω∈ΩH∑a,b=1mγab(ω)(Sb(ω)XSa(ω)∗−12{Sa(ω)∗Sb(ω),X}),

where [A,B]=AB−BA, {A,B}=AB+BA, and A∗ is the conjugate transpose. The finite sums define a linear map with units seconds−1. This is an adopted finite effective model specification; the definition asserts no microscopic weak-coupling convergence or physical applicability.

Facts & Assumptions

Given: d, H, ℏ, the finite Hermitian family (Sa), real inverse-energy parameter β, finite positive rate matrices Γ(ω) obeying the displayed balance relation, and commuting Hermitian HLS, all with the types and units specified in the Definition.

[F1]

Finite matrix spectral and state calculus: a finite Hermitian matrix has finitely many real eigenvalues and pairwise orthogonal spectral projections summing to the identity; finite spectral functions are basis-independent.

Proof

1.1givenF1algebra

By [F1], spec⁡(H) is finite and the projections PE are well-defined, pairwise orthogonal, and sum to Id. Therefore ΩH is finite and symmetric, and each Sa(ω) is a finite sum of endomorphisms of H; when m=0 or a frequency block is empty, the corresponding sum is the zero matrix.

2.1givenstep 1.1algebra∎

Every term in the displayed formula is a product and finite sum of matrices on H, so L is a complex-linear endomorphism of Md(C). The Hamiltonian coefficient has units joules/(joule-seconds) = seconds−1; each dissipative term has units γab=s−1 times dimensionless matrices. Thus the formula is a well-defined finite linear map with the stated units.

Remarks

The sign convention makes Sa(ω) lower the system energy by ℏω when ω>0: it maps the E′ eigenspace to the E eigenspace with E′−E=ℏω. The rate-matrix transpose in the thermal balance relation is tied to the displayed placement of Sb(ω) and Sa(ω)∗ in the generator. No bath limit is part of this mathematical definition.

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

Thermal balance makes Gibbs stationary

Statement

Let d≥1, let H=H∗∈Md(C) have entries in joules and a finite spectral decomposition H=∑EEPE with pairwise orthogonal projections summing to Id, and let S1,…,Sm be a finite family of dimensionless Hermitian matrices, where m≥0. Set ΩH={(E′−E)/ℏ:E,E′∈spec⁡(H)} and, for each ω∈ΩH, define Sa(ω)=∑E′−E=ℏωPESaPE′. Suppose that the rate matrices Γ(ω)=(γab(ω)), ω∈ΩH, have entries in seconds−1, are positive semidefinite in the explicit sense that Γ(ω)=Γ(ω)∗ and v∗Γ(ω)v≥0 for every v∈Cm, and satisfy γab(−ω)=e−βℏωγba(ω), with β∈R in joules−1 and ℏ>0 in joule-seconds. Let HLS=HLS∗ have entries in joules and commute with H, and let L be the finite generator

L(X)=−iℏ[H+HLS,X]+∑ω∈ΩH∑a,b=1mγab(ω)(Sb(ω)XSa(ω)∗−12{Sa(ω)∗Sb(ω),X}).

For ρ∈Md(C), being a density matrix means ρ=ρ∗, v∗ρv≥0 for every v∈Cd, and Tr⁡ρ=1; it is faithful when it is positive definite. For Zβ:=Tr⁡(e−βH)>0, define the faithful Gibbs density σβ:=e−βH/Zβ. For time t≥0 measured in seconds, Tt:=etL is completely positive and trace-preserving, and Tt(σβ)=σβ. This statement asserts stationarity only; it asserts neither uniqueness of the stationary density nor convergence to σβ.

Facts & Assumptions

Given: The finite-dimensional system, energy-resolved couplings, rate matrices, balance relation, and commuting Lamb-shift matrix in the Statement. Use the ordered finite spectral projections and SI units there.

[A1]

Finite energy-resolved GKSL thermal model: for each ω, Sa(ω)=∑E′−E=ℏωPESaPE′; Γ(ω)=Γ(ω)∗ and v∗Γ(ω)v≥0 for every v∈Cm; and the matrices obey γab(−ω)=e−βℏωγba(ω). Also, HLS is Hermitian and commutes with H.

[F1]

Finite completely positive trace-preserving maps: complete positivity means positivity is preserved by every finite ancilla amplification, and trace preservation means traces agree on every matrix input; a finite channel is a complex-linear map with both properties.

[F2]

Finite GKSL generators and units: a finite GKSL generator has the form −i[H,X]/ℏ+∑j(JjXJj∗−12{Jj∗Jj,X}) for Hermitian H and finite jump matrices Jj.

[F3]

Finite GKSL generates CPTP semigroups: the finite GKSL generator of [F2] has an exponential semigroup of finite channels for all t≥0.

[F4]

Finite matrix spectral and state calculus: a finite Hermitian matrix has orthogonal spectral projections and basis-independent spectral calculus.

Proof

1.1givenA1F1F2F3F4algebraconstruct

For each ω, positive semidefiniteness of the finite matrix Γ(ω) gives a finite factorization γab(ω)=∑rcra(ω)‾crb(ω), with cra(ω) in seconds−1/2. Define Jr,ω:=∑bcrb(ω)Sb(ω). Expanding yields ∑rJr,ωXJr,ω∗=∑a,bγab(ω)Sb(ω)XSa(ω)∗ and ∑rJr,ω∗Jr,ω=∑a,bγab(ω)Sa(ω)∗Sb(ω). Thus the displayed generator has the finite GKSL form of [F2] with Hamiltonian H+HLS and finite jumps Jr,ω, so [F3] gives a finite channel semigroup; [F1] states its complete-positivity and trace-preservation content.

1.2givenA1F4algebra

From the spectral definition, [H,Sa(ω)]=−ℏωSa(ω) and Sa(ω)∗=Sa(−ω). Therefore Sa(ω)e−βH=e−βℏωe−βHSa(ω). Every Sa(−ω)Sb(ω) commutes with H because its two energy shifts cancel, hence it commutes with each spectral projection of H and with σβ. Also [HLS,H]=0 implies HLS preserves every eigenspace of H: if Hx=Ex, then H(HLSx)=HLS(Hx)=E(HLSx). Thus HLS commutes with every spectral projection of H and with σβ. Finally, the exponential e−βH is positive definite with positive finite trace, making σβ a faithful density.

2.1givenA1step 1.2algebra

Fix ω>0 and put q=e−βℏω. The ω contribution is Dω(σβ)=σβ∑a,bγab(ω)(qSb(ω)Sa(−ω)−Sa(−ω)Sb(ω)), using Sb(ω)σβ=qσβSb(ω) and commutation of the anticommutator product with σβ. For the negative frequency, substitute γab(−ω)=qγba(ω) and Sa(−ω)∗=Sa(ω), then reindex a,b to obtain D−ω(σβ)=σβ∑a,bγab(ω)(Sa(−ω)Sb(ω)−qSb(ω)Sa(−ω))=−Dω(σβ). Thus every nonzero frequency pair cancels.

3.1givenA1step 1.2step 2.1algebra∎

At ω=0, the balance relation gives γab(0)=γba(0). Each Sa(0) is Hermitian and commutes with H, hence with σβ; consequently the zero-frequency contribution is σβ∑a,bγab(0)(Sb(0)Sa(0)−Sa(0)Sb(0))=0, after swapping a,b in the first finite sum. The Hamiltonian contribution vanishes because both H and HLS commute with σβ. Together with step 2.1 this gives L(σβ)=0, and the exponential series then gives Tt(σβ)=σβ for all t≥0.

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passverified 2026-10-22 (gpt-6.1-sol)Open item page →

Stationary finite quantum semigroups decrease relative entropy

Statement

Let d≥1 and let L:Md(C)→Md(C) be complex-linear. Define Tt:=etL:=∑n=0∞tnLn/n! for t≥0, and assume that each Tt is completely positive and trace-preserving; the exponential gives Tt+s=Tt∘Ts. Let σ=σ∗>0 satisfy Tr⁡σ=1 and Tt(σ)=σ for every t≥0. A density matrix ρ means ρ=ρ∗, v∗ρv≥0 for every v∈Cd, and Tr⁡ρ=1. For such a density matrix ρ, define the finite quantum relative entropy

D(ρ∥σ):=Tr⁡(ρlog⁡ρ)−Tr⁡(ρlog⁡σ),

using the natural logarithm, the finite spectral logarithm on the support of ρ, and 0log⁡0:=0. Since σ is positive definite, D(ρ∥σ) is finite for every density ρ. Then t↦D(Ttρ∥σ) is nonincreasing on [0,∞). If t is interpreted as seconds, L has units seconds−1; the statement is mathematical and asserts no physical applicability. At every t≥0 for which ρt:=Ttρ is positive definite, its derivative exists (as a right derivative at t=0) and

ddtD(ρt∥σ)=Tr⁡ ⁣(L(ρt)(log⁡ρt−log⁡σ))≤0.

At singular ρt this logarithmic derivative is not asserted; the extended-real upper right Dini derivative is at most zero. No detailed-balance assumption, strict decay, unique stationary state, or convergence to σ is asserted.

Facts & Assumptions

Given: The finite-dimensional exponential semigroup, channel property, faithful stationary density σ, and density ρ in the Statement. The relative entropy convention and natural logarithms are as displayed there.

[A1]

Conditional mutual information and finite channel monotonicity (current batch-101 draft; authoring readiness is ready, independent proof review remains pending): for a finite channel Φ and positive semidefinite X,Y, D(Φ(X)∥Φ(Y))≤D(X∥Y), with the support-sensitive finite-dimensional relative entropy convention.

[F1]

Finite completely positive trace-preserving maps: complete positivity means positivity is preserved by every finite ancilla amplification, and trace preservation means traces agree on every matrix input; a finite channel is a complex-linear map with both properties.

[F2]

Finite matrix spectral and state calculus: every finite Hermitian matrix has an orthonormal eigenbasis, and spectral functions and finite trace are basis-independent.

[F3]

Every finite-dimensional normed space is Banach: every finite-dimensional real or complex normed space is complete.

[F4]

The exponential series of a bounded operator: for a bounded operator on a Banach space, its exponential series converges in operator norm uniformly on compact time intervals, obeys the exponential law, and is differentiable in operator norm with derivative AetA.

Proof

1.1givenA1F1F3F4algebra

On Md(C) use the max-entry norm ∥X∥max⁡:=max⁡i,j∣Xij∣. The space is finite-dimensional and Banach by [F3]. In coordinates, (LX)ij=∑k,laij,klXkl for finitely many coefficients, so ∥LX∥max⁡≤C∥X∥max⁡ with C:=max⁡i,j∑k,l∣aij,kl∣<∞; thus L is bounded. Hence [F4] gives operator-norm convergence of the exponential series, its compact-uniform convergence, and the law TuTv=Tu+v. For 0≤s≤t, put u=t−s and v=s. The map Tt−s is a finite channel by the hypothesis and [F1], and fixes σ by stationarity. Apply [A1] to X=Tsρ and Y=σ; these are positive semidefinite, so D(Ttρ∥σ)≤D(Tsρ∥σ). This proves global monotonicity, including singular initial densities, because σ>0 makes every displayed relative entropy finite.

1.2givenF2algebra

For x>0 and R>0, direct integration gives ∫0R((1+s)−1−(x+s)−1) ds=log⁡x+log⁡(1+R)−log⁡(x+R), which tends to log⁡x as R→∞. Applying this scalar identity to each eigenvalue using [F2] yields log⁡A=∫0∞((1+s)−1I−(A+sI)−1) ds for positive definite A. Let u↦A(u) be a C1 path of positive-definite matrices on an open interval, or on a one-sided interval at an endpoint, around the parameter under consideration, and write X=A˙(u). Differentiating (A+sI)(A+sI)−1=I gives ddu(A+sI)−1=−(A+sI)−1X(A+sI)−1, so ddulog⁡A=∫0∞(A+sI)−1X(A+sI)−1 ds. At a fixed parameter u0, let λ0>0 be the least eigenvalue of A(u0). By continuity, on a neighborhood ∥A(u)−A(u0)∥<λ0/2, so A(u)≥(λ0/2)I there; since A′ is locally bounded, the derivative integrand is uniformly bounded by C(λ0/2+s)−2 nearby for some finite C, an integrable function. The product rule gives dduTr⁡(Alog⁡A)=Tr⁡(Xlog⁡A)+∫0∞Tr⁡(A(A+sI)−1X(A+sI)−1) ds. Diagonalize A with eigenvalues λj>0; the integral is ∑jXjj∫0∞λj(λj+s)−2 ds=∑jXjj=Tr⁡X. Hence dduTr⁡(Alog⁡A)=Tr⁡(X(log⁡A+I)).

2.1step 1.1algebra

For f(t):=D(Ttρ∥σ), every quotient (f(t+h)−f(t))/h with h>0 is nonpositive by step 1.1. Thus D+f(t):=lim sup⁡h↓0(f(t+h)−f(t))/h≤0 as an extended-real upper right Dini derivative, without inserting log⁡ρt when ρt is singular.

3.1givenF1F2F4step 1.1step 1.2algebra∎

If ρt>0, continuity gives a positive-definite neighborhood (right-sided at t=0). By [F4], Tt is differentiable in operator norm and ρ˙t=L(ρt). Trace preservation implies Tr⁡ρ˙t=0, by differentiating Tr⁡(Ttρ)=Tr⁡ρ. Apply step 1.2 to A=ρt and differentiate the linear term −Tr⁡(ρtlog⁡σ) to obtain the displayed derivative formula. Its sign is nonpositive because the same function is nonincreasing by step 1.1.

5 · Examples, experiments and counterexamples

None yet.

Sources