R\'enyi relative entropies and noncommutative $L_p$-spaces
Anna Jencova

TL;DR
This paper extends Re9nyi relative entropies to general von Neumann algebras using noncommutative Lp-spaces, establishing their properties and connections to quantum information measures like the Araki-Masuda divergences.
Contribution
It introduces a new extension of Re9nyi relative entropies for von Neumann algebras, aligning with existing divergences and proving key properties such as data processing inequality.
Findings
Extension coincides with Araki-Masuda divergences
Proves data processing inequality for these divergences
Shows equality characterizes sufficiency of quantum channels
Abstract
We propose an extension of the sandwiched R\'enyi relative -entropy to normal positive functionals on arbitrary von Neumann algebras, for the values . For this, we use Kosaki's definition of noncommutative -spaces with respect to a state. We show that these extensions coincide with the previously defined Araki-Masuda divergences [M. Berta et al., Annales Henri Poincar\'e, 19:1843--1867, 2018] and prove some of their properties, in particular the data processing inequality with respect to positive normal unital maps. As a consequence, we obtain monotonicity of the Araki relative entropy with respect to such maps, extending the results of [A. M\"uller-Hermes and D. Reeb. Annales Henri Poincar\'e,18:1777--1788, 2017] to arbitrary von Neumann algebras. It is also shown that equality in data processing inequality characterizes sufficiency (reversibility) of quantum…
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