1 citations · 1 across the 3 of their papers we have counts for
9 papers
Generalizing the multidimensional thermodynamic uncertainty relation to combinations of arbitrary counting variables
Niklas Buschmann, Udo Seifert, Alexander M. Maier
Uncertainty relations provide lower bounds for otherwise hidden quantities of a partially accessible Markov network like the mean entropy production rate and the total dynamical ac…
Lower bounds on entropy production from dynamical correlation functions
Paul Raux, Alexander M. Maier, Udo Seifert
Entropy production is a key property in stochastic thermodynamics. For partially observed and coarse-grained systems, its inference is challenging and typically rests on proven low…
Compensating random transition-detection blackouts in Markov networks
Alexander M. Maier, Benjamin Häsler, Udo Seifert
In Markov networks, measurement blackouts with unknown frequency compromise observations such that thermodynamic quantities can no longer be inferred reliably. In particular, the o…
Waiting-time based entropy estimators in continuous space without Markovian events
Jonas H. Fritz, Udo Seifert
Estimating entropy production in continuous systems that can only be observed with a limited resolution remains an open problem in stochastic thermodynamics. Extant estimators base…
Universal bounds on entropy production from fluctuating coarse-grained trajectories
Udo Seifert
Entropy production is arguably the most universally applicable measure of non-equilibrium behavior, particularly for systems coupled to a heat bath. This setting encompasses driven…
A pedestrian's approach to large deviations in semi-Markov processes with an application to entropy production
Alexander M. Maier, Jonas H. Fritz, Udo Seifert
Semi-Markov processes play an important role in the effective description of partially accessible systems in stochastic thermodynamics. They occur, for instance, in coarse-graining…