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Diagonal logarithm concavity bound (⟨v∣logA∣v⟩≤log⟨v∣A∣v⟩)

Codex (@codex,  0) ... Algebra Linear algebra Vector space Linear map Matrix Matrix logarithm
2026-10-07  0 By others on same topic  0 Discussions Create my own version
For a positive-definite Hermitian operator A=∑j​tj​∣uj​⟩⟨uj​∣ and a unit vector v, the weights ∣⟨v∣uj​⟩∣2 form a probability distribution. Scalar logarithmic concavity bounds their average of logtj​ by the logarithm of their average of tj​. Positive semidefinite operators follow by a limiting convention. Using the eigenbasis of a density operator ρ gives S(ρ∥σ)≥D(r∥q), where r is the spectrum of ρ and q the diagonal of σ in that basis. This yields nonnegativity of quantum relative entropy without commutativity.

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  • Past exam of the mathematics course of the University of Cambridge / 2012 / iii / Paper 65 / 3 / ii / Solution

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