Near-optimality of conservative driving in discrete systems
Jann van der Meer, Andreas Dechant

TL;DR
This paper investigates the efficiency of conservative versus nonconservative driving protocols in discrete systems, showing that conservative protocols can be at most twice as dissipative as the optimal nonconservative ones, with implications for control in complex networks.
Contribution
It demonstrates that in discrete systems, conservative protocols are near-optimal, with dissipation at most twice the minimum, and provides explicit examples illustrating this bound.
Findings
Conservative protocols are at most twice as dissipative as optimal nonconservative ones.
Nonconservative forces are necessary for optimal transport in complex topologies.
Explicit example shows the order of improvement achievable by nonconservative driving.
Abstract
Transferring a physical system from an initial to a final state while minimizing energetic losses is an interdisciplinary control problem that bridges stochastic thermodynamics and optimal transport theory. Recent research typically considers problems in which the optimal solution is realized via conservative forces, but whether this situation applies depends on the problem's constraints. In systems with complex topologies like discrete networks, the optimal, dissipation-minimizing protocol involves applying nonconservative forces along cycles if the timescales of the transitions in the network are fixed. We show that although nonconservative driving is optimal in this setting, a conservative protocol exists whose dissipation is at most twice the optimal one. This finding is complemented with an example modeling transport across an energy barrier, which illustrates such improvements of…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Control and Stability of Dynamical Systems · stochastic dynamics and bifurcation
