Entropy, majorization and thermodynamics in general probabilistic theories
Howard Barnum (University of New Mexico), Jonathan Barrett (University, of Oxford), Marius Krumm (University of Heidelberg, University of Western, Ontario), Markus P. M\"uller (University of Heidelberg, University of Western, Ontario, Perimeter Institute for Theoretical Physics)

TL;DR
This paper develops a framework for thermodynamics in general probabilistic theories, defining spectral entropy and conditions under which measurement outcomes are majorized, extending quantum thermodynamic concepts to broader theories.
Contribution
It introduces spectral entropy in GPTs satisfying spectrality, projectivity, and symmetry, and extends quantum thermodynamic entropy concepts to these generalized systems.
Findings
Spectral entropy equals measurement entropy under certain conditions.
Projectivity and symmetry lead to a geometric property called perfection.
Extension of von Neumann's thermodynamic entropy argument to GPTs.
Abstract
In this note we lay some groundwork for the resource theory of thermodynamics in general probabilistic theories (GPTs). We consider theories satisfying a purely convex abstraction of the spectral decomposition of density matrices: that every state has a decomposition, with unique probabilities, into perfectly distinguishable pure states. The spectral entropy, and analogues using other Schur-concave functions, can be defined as the entropy of these probabilities. We describe additional conditions under which the outcome probabilities of a fine-grained measurement are majorized by those for a spectral measurement, and therefore the "spectral entropy" is the measurement entropy (and therefore concave). These conditions are (1) projectivity, which abstracts aspects of the Lueders-von Neumann projection postulate in quantum theory, in particular that every face of the state space is the…
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