A complete characterisation of conditional entropies
Roberto Rubboli, Erkka Haapasalo, Marco Tomamichel

TL;DR
This paper provides a comprehensive characterization of conditional entropies satisfying natural axioms, revealing they are exponential averages of Re9nyi entropies, with implications for quantum thermodynamics and information theory.
Contribution
It offers the first complete axiomatic characterization of conditional entropy, generalizing previous definitions and linking them to operational principles.
Findings
Conditional entropy is characterized by exponential averages of Re9nyi entropies.
The family of measures satisfies additivity, invariance, and monotonicity axioms.
These measures determine transformation rates and second laws in quantum thermodynamics.
Abstract
Entropies are fundamental measures of uncertainty with central importance in information theory and statistics and applications across all the quantitative sciences. Under a natural set of operational axioms, the most general form of entropy is captured by the family of R\'enyi entropies, parameterized by a real number . Conditional entropy extends the notion of entropy by quantifying uncertainty from the viewpoint of an observer with access to potentially correlated side information. However, despite their significance and the emergence of various useful definitions, a complete characterization of measures of conditional entropy that satisfy a natural set of operational axioms has remained elusive. In this work, we provide a complete characterization of conditional entropy, defined through a set of axioms that are essential for any operationally meaningful definition:…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics · Wireless Communication Security Techniques
