2018
DOI: 10.1088/1751-8121/aaaa54
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Exact results for the finite time thermodynamic uncertainty relation

Abstract: We obtain exact results for the recently discovered finite-time thermodynamic uncertainty relation, for the dissipated work W d , in a stochastically driven system with non-Gaussian work statistics, both in the steady state and transient regimes, by obtaining exact expressions for any moment of W d at arbitrary times. The uncertainty function (the Fano factor of W d ) is bounded from below by 2kBT as expected, for all times τ , in both steady state and transient regimes. The lower bound is reached at τ = 0 as … Show more

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Cited by 26 publications
(23 citation statements)
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“…where a normalization factor C N ∼ N −5/2 has been introduced such that c T opt c opt = 1. We note that, as a consequence of (20), neither the currents J nor the optimal contraction coefficients c opt are affected by a uniform shift of the bias landscape.…”
mentioning
confidence: 91%
“…where a normalization factor C N ∼ N −5/2 has been introduced such that c T opt c opt = 1. We note that, as a consequence of (20), neither the currents J nor the optimal contraction coefficients c opt are affected by a uniform shift of the bias landscape.…”
mentioning
confidence: 91%
“…(1)] implies that a more precise output requires higher entropy production (cost). Given its fundamental and conceptual importance, the TUR has been refined [8,9] and generalized to finite times [10][11][12], discrete time and periodic dynamics [13][14][15][16], multidimensional systems [17], and bounds on counting observables and first-passage times [18,19], with applications to biochemical motors [20], heat engines [17,[21][22][23] and a variety of nonequilibrium problems [24][25][26]. Specifically, for an engine operating in a nonequilibrium steady state, the TUR translates into a trade-off relation between the output power, power fluctuations, and the engine's efficiency: According to the bound, power fluctuations diverge when operating an engine at finite power while approaching the Carnot efficiency [21].…”
Section: Introductionmentioning
confidence: 99%
“…First thermodynamic uncertainty relation was obtained by Barato and Seifert [16] for bio-molecular processes for both unicyclic and multicyclic networks. Later, an extension of result [16] is shown for periodically driven systems [17,18], chemical kinetics [19,20], finite time processes [21,22,23,24,25], counting observables [26], and biochemical sensing [27]. Gingrich et al [28] obtained a bound for the large deviation function [29] for steady state empirical currents in Markov jump processes and proved the thermodynamic uncertainty relation conjectured in [16], and then, its tighter version is obtained in [30].…”
Section: Introductionmentioning
confidence: 93%