[FRIAM] Entropy, irreversibility and inference at the foundations of statistical physics

[Roger Critchlow]

My google news feed is generally infuriating, but then it redeems itself by
finding something like this:

Jonathan Asher Pachter, Ying-Jen Yang, and Ken A. Dill,
https://www.nature.com/articles/s42254-024-00720-5, in Nature Reviews
Physics.

Statistical physics relates the properties of macroscale systems to the
> distributions of their microscale agents. Its central tool has been the
> maximization of entropy, an equilibrium variational principle. Recent work
> has sought extensions to non-equilibria: across processes of change both
> fast and slow, in the Jarzynski equality and fluctuation relations and
> other tools of stochastic thermodynamics, using large deviation theory or
> others. When recognized as an inference principle, entropy maximization can
> be generalized for non-equilibria and applied to path entropies rather than
> state entropies, becoming the principle of maximum caliber, which we
> emphasize in this Review. Our primary goal is to enhance crosstalk among
> researchers working in disparate silos, comparing and contrasting different
> approaches while pointing to common roots.


There's a preprint from last October, too.  https://arxiv.org/abs/2310.06070

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