In ergodic physical systems, time-averaged quantities converge (for large times) to their
ensemble-averaged values. Large deviation theory describes rare events where these time …

Recent large deviation results have provided general lower bounds for the fluctuations of
time-integrated currents in the steady state of stochastic systems. A corollary are so-called …

We investigate the tightness and optimality of thermodynamic-uncertainty-relation (TUR)-
type inequalities from two aspects, the choice of the Fisher information and the class of …

Here we demonstrate that tensor network techniques—originally devised for the analysis of
quantum many-body problems—are well suited for the detailed study of rare event statistics …

Recent work has shown the effectiveness of tensor network methods for computing large
deviation functions in constrained stochastic models in the infinite time limit. Here we show …

We analyze large deviations of the time-averaged activity in the one-dimensional
Fredrickson-Andersen model, both numerically and analytically. The model exhibits a …

In the past three decades, the field of stochastic thermodynamics has been formulated and
highly developed. Stochastic thermodynamics extends the framework of thermodynamics …

The large deviation statistics of dynamical observables is encoded in the spectral properties
of deformed Markov generators. Recent works have shown that tensor network methods are …

We investigate Lee-Yang zeros of generating functions of dynamical observables and
establish a general relation between phase transitions in ensembles of trajectories of …

In this work we focus on fluctuations of time-integrated observables for a particle diffusing in
a one-dimensional periodic potential in the weak-noise asymptotics. Our interest goes to …