Information in statistical physics
R. Balian

TL;DR
This paper reviews the information theory foundations of quantum statistical physics, emphasizing the role of entropy, relevant variables, and information loss in equilibrium and non-equilibrium systems, with illustrative examples and paradoxes.
Contribution
It introduces the concept of relevant entropy in quantum statistical physics and explores its implications for understanding irreversibility and the second law.
Findings
Relevant entropy characterizes missing information at the microscopic level.
The second law emerges as a consequence of information inference.
Hidden information can influence the perception of irreversibility.
Abstract
We review with a tutorial scope the information theory foundations of quantum statistical physics. Only a small proportion of the variables that characterize a system at the microscopic scale can be controlled, for both practical and theoretical reasons, and a probabilistic description involving the observers is required. The criterion of maximum von Neumann entropy is then used for making reasonable inferences. It means that no spurious information is introduced besides the known data. Its outcomes can be given a direct justification based on the principle of indifference of Laplace. We introduce the concept of relevant entropy associated with some set of relevant variables; it characterizes the information that is missing at the microscopic level when only these variables are known. For equilibrium problems, the relevant variables are the conserved ones, and the Second Law is…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics · Quantum Mechanics and Applications
