paper

Sharp Bounds on the Mean Efficiency of a Fluctuating Machine

arXiv:2609.15443

Abstract

The efficiency of a machine at the scale of thermal fluctuations is random, and the conventional ratio has no moment of any order: its input heat fluctuates through zero. We work instead with the exergetic ratio , which lies in pointwise for non-negative dissipation, and ask what the energy budget alone determines about its mean. With and the relative variance of the dissipation, , both ends sharp, with no distributional assumption. The floor is Jensen's inequality: fluctuating dissipation raises the mean efficiency above its deterministic value, and the mean alone gives nothing more. The ceiling is attained by an intermittently reversible law, dissipating nothing in a fraction of realisations, a prediction testable on trajectories. A third moment lifts the floor. Fixed delivered work is not required: when it too fluctuates, the bounds hold with the moments taken on , and the thermodynamic uncertainty relation on the work current converts the ceiling into a precision-efficiency frontier, whose zero-variance member is the known bound on a motor's ratio-of-means efficiency, shown here to be unsafe for the mean of the fluctuating ratio. Inside the interval lies the maximum-entropy benchmark . Finally the bounds are worked out for a motor with futile cycles, observed until a fixed number of steps is delivered. There the dissipation cannot fall below the reversible cost of that work, and this floor sharpens the ceiling to , , , removing 40-67 per cent of the width. It is saturated when slips are rare: the extremal law is an operating regime, not an idealisation.

v3: adds Section 9, a molecular motor with futile cycles, and Proposition 16, an upper bound under a known dissipation floor. 37 pages, 5 figures. Code: doi:10.5281/zenodo.22812101