The Thermodynamic Uncertainty Theorem
Kyle J. Ray, Alexander B. Boyd, Giacomo Guarnieri, James P., Crutchfield

TL;DR
This paper extends thermodynamic uncertainty relations by incorporating higher statistical moments of entropy production, deriving an exact minimal variance current, and establishing the Thermodynamic Uncertainty Theorem, which tightens the bounds on current precision.
Contribution
It introduces the Thermodynamic Uncertainty Theorem, providing an exact expression for minimal variance currents considering higher moments of entropy production.
Findings
Higher moments of entropy production significantly influence current precision.
The TUT tightens previous TUR bounds by incorporating full entropy production distribution.
Numerical analysis demonstrates interpolation between established bounds in nonequilibrium regimes.
Abstract
Thermodynamic uncertainty relations (TURs) express a fundamental tradeoff between the precision (inverse scaled variance) of any thermodynamic current by functionals of the average entropy production. Relying on purely variational arguments, we significantly extend these inequalities by incorporating and analyzing the impact of higher statistical cumulants of entropy production within a general framework of time-symmetrically controlled computation. This allows us to derive an exact expression for the current that achieves the minimum scaled variance, for which the TUR bound tightens to an equality that we name Thermodynamic Uncertainty Theorem (TUT). Importantly, both the minimum scaled variance current and the TUT are functionals of the stochastic entropy production, thus retaining the impact of its higher moments. In particular, our results show that, beyond the average, the entropy…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Phase Equilibria and Thermodynamics · Process Optimization and Integration
