Unifying Theories for Nonequilibrium Statistical Mechanics
David M. Rogers

TL;DR
This paper develops a unified, entropy-based framework for deriving force/flux relationships in nonequilibrium systems, applicable beyond linear response and validated through simulations of complex physical models.
Contribution
It introduces a transition space maximum entropy approach to nonequilibrium response theories, simplifying analysis in the nonlinear regime without steady-state assumptions.
Findings
Transition distributions follow maximum entropy principles in simulations.
The approach applies to diverse systems, including Lorentz gas and Fermi-Pasta-Ulam chain.
Results support using maximum entropy methods for empirical nonequilibrium laws.
Abstract
The question of deriving general force/flux relationships that apply out of the linear response regime is a central topic of theories for nonequilibrium statistical mechanics. This work applies an information theory perspective to compute approximate force/flux relations and compares the result with traditional alternatives. If it can be said that there is a consensus on the form of response theories in driven, nonequilibrium transient dynamics, then that consensus is consistent with maximizing the entropy of a distribution over transition space. This agreement requires the problem of force/flux relationships to be described entirely in terms of such transition distributions, rather than steady-state properties (such as near-equilibrium works) or distributions over trajectory space (such as maximum caliber). Within the transition space paradigm, it is actually simpler to work in the…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Mechanical and Optical Resonators · Strong Light-Matter Interactions
