2018
DOI: 10.3390/e20090635
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Detailed Fluctuation Theorems: A Unifying Perspective

Abstract: We present a general method to identify an arbitrary number of fluctuating quantities which satisfy a detailed fluctuation theorem for all times within the framework of time-inhomogeneous Markovian jump processes. In doing so we provide a unified perspective on many fluctuation theorems derived in the literature. By complementing the stochastic dynamics with a thermodynamic structure (i.e. using stochastic thermodynamics), we also express these fluctuating quantities in terms of physical observables.

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Cited by 40 publications
(32 citation statements)
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(116 reference statements)
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“…Beyond that, a generalization of the detailed FT to multiple reservoirs has also being obtained before, e.g., in Ref. [ 25 ].…”
Section: Joint Fluctuation Theorem For Heat Exchangementioning
confidence: 84%
“…Beyond that, a generalization of the detailed FT to multiple reservoirs has also being obtained before, e.g., in Ref. [ 25 ].…”
Section: Joint Fluctuation Theorem For Heat Exchangementioning
confidence: 84%
“…Notice that operator M , its eigenvalues and its mean value for a given state , that we first termed “nonequilibrium Massieu operator” in References [ 62 , 94 , 107 ], differ substantially from the “nonequilibrium Massieu potentials” defined recently in References [ 108 , 109 ]. Their nonequilibrium Massieu construct is defined by the difference between the entropy and a linear combination of the conserved properties, with coefficients that are weighted averages of the fixed temperatures and other entropic potentials of the reservoirs interacting with the system.…”
Section: Example Steepest-entropy-ascent Master Equation For Consmentioning
confidence: 99%
“…In order to take full advantage of these techniques it is crucial to understand how thermodynamic laws translate into the non-equilibrium domain, where fluctuations of thermodynamic quantities begin to play a significant role and averaged quantities are no longer enough to characterize their thermodynamic behaviour. This motivates extending thermodynamic framework to systems driven out of equilibrium, a setting which has been extensively studied in the recent literature [7][8][9][10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%