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Finite-dimensional entropy first variation at a faithful state
Statement
Let be a nonzero finite-dimensional complex inner-product space and let be an open interval containing . Let be a path whose real and imaginary matrix entries are continuously differentiable on , such that each is self-adjoint with nonnegative eigenvalues and trace one. Suppose and every eigenvalue of is strictly positive. Define by spectral calculus and let with the finite spectral convention . Then
If, in addition, the real and imaginary matrix entries of are twice continuously differentiable on , then the finite relative entropy has zero first derivative at . These are finite-dimensional mathematical statements and make no continuum or gravitational claim.
Statement references
Finite matrix entropy derivative at a faithful state
Finite relative entropy equals modular energy minus entropy
Finite matrix spectral and state calculus
The basis-independent trace of an endomorphism of a finite-dimensional vector space
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
Cauchy–Schwarz: , with equality exactly for linearly dependent vectors
John Watrous, The Theory of Quantum Information, §5.2.1
Mark M. Wilde, From Classical to Quantum Shannon Theory, §§11.1 and 11.8
Facts & Assumptions
Given: A continuously differentiable finite-dimensional density path on an open interval containing , with strictly positive; for the relative-entropy derivative conclusion, additionally assume that its real and imaginary matrix entries are twice continuously differentiable on that interval.
Finite matrix entropy derivative at a faithful state: for a differentiable path of self-adjoint positive-definite matrices, .
Finite relative entropy equals modular energy minus entropy: for each density endomorphism and the fixed faithful reference , .
Finite matrix spectral and state calculus: finite-dimensional Hermitian endomorphisms have orthonormal spectral decompositions, and the eigenvalues of a strictly positive one have a positive minimum.
The basis-independent trace of an endomorphism of a finite-dimensional vector space: trace is the finite sum of diagonal entries and therefore is linear.
Cauchy–Schwarz: , with equality exactly for linearly dependent vectors: for vectors in a complex inner-product space.
Proof
Let be the smallest eigenvalue of from [F3]. Since is entrywise continuous at , its finite matrix difference tends to zero in operator norm: in a fixed orthonormal basis, if every entry of has magnitude at most , then for a unit vector makes each coordinate of have magnitude at most , and each coordinate of has magnitude at most , and therefore , where . Choose so that for . For each , by spectral decomposition, while [F5] and [F6] give . Hence for nonzero . Thus is positive definite near and [F1] applies.
Apply [F1] to at : . Because on the whole interval, in the fixed basis [F4] gives ; the finite sum commutes with this limit. Therefore , as claimed.
The identity [F2] holds for every in the path. Its right-hand side is differentiable at by linearity of trace and step 2.1, so differentiating gives . The additional twice continuously differentiable hypothesis ensures the differentiability required here.
Depends on
Finite matrix entropy derivative at a faithful state
Finite relative entropy equals modular energy minus entropy
Finite matrix spectral and state calculus
The basis-independent trace of an endomorphism of a finite-dimensional vector space
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
Cauchy–Schwarz: , with equality exactly for linearly dependent vectors
Dependency tree · 2 levels
Sources
- John Watrous, The Theory of Quantum Information, author-hosted complete book manuscript, §5.2.1
- Aron C. Wall, A proof of the generalized second law for rapidly changing fields and arbitrary horizon slices, §2.5
- Mark M. Wilde, From Classical to Quantum Shannon Theory, complete book manuscript, §§11.1 and 11.8