The total entropy production of stochastic systems can be divided into three quantities. The first corresponds to the excess heat, while the second two comprise the housekeeping heat. We denote these two components the transient and generalized housekeeping heat and we obtain an integral fluctuation theorem for the latter, valid for all Markovian stochastic dynamics. A previously reported formalism is obtained when the stationary probability distribution is symmetric for all variables that are odd under time reversal, which restricts consideration of directional variables such as velocity
Stochastic thermodynamics is an important development in the direction of finding general thermodyna...
peer reviewedWe present a general framework for systems which are prepared in a nonstationary nonequ...
peer reviewedWe present a general method to identify an arbitrary number of fluctuating quantities w...
We derive various exact results for Markovian systems that spontaneously relax to a non-equilibrium ...
6 p.Fluctuations of the excess heat in an out of equilibrium steady state are experimentally investi...
A stopping time T is the first time when a trajectory of a stochastic process satisfies a specific c...
Fluctuation theorems make use of time reversal to make predictions about entropy production in many-...
The stochastic entropy generated during the evolution of a system interacting with an environment ma...
We derive a simple closed analytical expression for the total entropy production along a single stoc...
By taking full advantage of the dynamic property imposed by the detailed balance condition, we deriv...
peer reviewedThe total entropy production of a trajectory can be split into an adiabatic and a nonad...
We revisit stochastic thermodynamics for a system with discrete energy states in contact with a heat...
The Fluctuation Theorem describes the probability ratio of observing trajectories that satisfy or vi...
Asymptotic fluctuation theorems are statements of a Gallavotti-Cohen symmetry in the rate function o...
The fluctuation theorem describes the probability ratio of observing trajectories that satisfy or vi...
Stochastic thermodynamics is an important development in the direction of finding general thermodyna...
peer reviewedWe present a general framework for systems which are prepared in a nonstationary nonequ...
peer reviewedWe present a general method to identify an arbitrary number of fluctuating quantities w...
We derive various exact results for Markovian systems that spontaneously relax to a non-equilibrium ...
6 p.Fluctuations of the excess heat in an out of equilibrium steady state are experimentally investi...
A stopping time T is the first time when a trajectory of a stochastic process satisfies a specific c...
Fluctuation theorems make use of time reversal to make predictions about entropy production in many-...
The stochastic entropy generated during the evolution of a system interacting with an environment ma...
We derive a simple closed analytical expression for the total entropy production along a single stoc...
By taking full advantage of the dynamic property imposed by the detailed balance condition, we deriv...
peer reviewedThe total entropy production of a trajectory can be split into an adiabatic and a nonad...
We revisit stochastic thermodynamics for a system with discrete energy states in contact with a heat...
The Fluctuation Theorem describes the probability ratio of observing trajectories that satisfy or vi...
Asymptotic fluctuation theorems are statements of a Gallavotti-Cohen symmetry in the rate function o...
The fluctuation theorem describes the probability ratio of observing trajectories that satisfy or vi...
Stochastic thermodynamics is an important development in the direction of finding general thermodyna...
peer reviewedWe present a general framework for systems which are prepared in a nonstationary nonequ...
peer reviewedWe present a general method to identify an arbitrary number of fluctuating quantities w...