Abstract
The familiar second derivative test for convexity, combined with resolvent calculus, is shown to yield a useful tool for the study of convex matrix-valued functions. We demonstrate the applicability of this approach on a number of theorems in this field. These include convexity principles which play an essential role in the Lieb–Ruskai proof of the strong subadditivity of quantum entropy.
Original language | English (US) |
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Article number | 18 |
Journal | Letters in Mathematical Physics |
Volume | 113 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2023 |
All Science Journal Classification (ASJC) codes
- Statistical and Nonlinear Physics
- Mathematical Physics
Keywords
- 26B25
- 47H05
- 81Q05
- 82B10
- Matrix convexity
- Parallel sums
- Quantum entropy
- Strong subadditivity