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Stationary finite quantum semigroups decrease relative entropy
Statement
Let and let be complex-linear. Define for , and assume that each is completely positive and trace-preserving; the exponential gives . Let satisfy and for every . A density matrix means , for every , and . For such a density matrix , define the finite quantum relative entropy
using the natural logarithm, the finite spectral logarithm on the support of , and . Since is positive definite, is finite for every density . Then is nonincreasing on . If is interpreted as seconds, has units seconds; the statement is mathematical and asserts no physical applicability. At every for which is positive definite, its derivative exists (as a right derivative at ) and
At singular 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 is asserted.
Statement references
Facts & Assumptions
Given: The finite-dimensional exponential semigroup, channel property, faithful stationary density , and density in the Statement. The relative entropy convention and natural logarithms are as displayed there.
Conditional mutual information and finite channel monotonicity (current batch-101 draft; authoring readiness is ready, independent proof review remains pending): for a finite channel and positive semidefinite , , with the support-sensitive finite-dimensional relative entropy convention.
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.
Finite matrix spectral and state calculus: every finite Hermitian matrix has an orthonormal eigenbasis, and spectral functions and finite trace are basis-independent.
Every finite-dimensional normed space is Banach: every finite-dimensional real or complex normed space is complete.
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 .
Proof
On use the max-entry norm . The space is finite-dimensional and Banach by [F3]. In coordinates, for finitely many coefficients, so with ; thus is bounded. Hence [F4] gives operator-norm convergence of the exponential series, its compact-uniform convergence, and the law . For , put and . The map is a finite channel by the hypothesis and [F1], and fixes by stationarity. Apply [A1] to and ; these are positive semidefinite, so . This proves global monotonicity, including singular initial densities, because makes every displayed relative entropy finite.
For and , direct integration gives , which tends to as . Applying this scalar identity to each eigenvalue using [F2] yields for positive definite . Let be a 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 . Differentiating gives , so . At a fixed parameter , let be the least eigenvalue of . By continuity, on a neighborhood , so there; since is locally bounded, the derivative integrand is uniformly bounded by nearby for some finite , an integrable function. The product rule gives . Diagonalize with eigenvalues ; the integral is . Hence .
For , every quotient with is nonpositive by step 1.1. Thus as an extended-real upper right Dini derivative, without inserting when is singular.
If , continuity gives a positive-definite neighborhood (right-sided at ). By [F4], is differentiable in operator norm and . Trace preservation implies , by differentiating . Apply step 1.2 to and differentiate the linear term to obtain the displayed derivative formula. Its sign is nonpositive because the same function is nonincreasing by step 1.1.