1 citations · 1 across the 3 of their papers we have counts for
5 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…
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…
From observed transitions to hidden paths in Markov networks
Alexander M. Maier, Udo Seifert, Jann van der Meer
The number of observable degrees of freedom is typically limited in experiments. Here, we consider discrete Markov networks in which an observer has access to a few visible transit…