Effective driven dynamics for one-dimensional conditioned Langevin processes in the weak-noise limit
Nicol\'as Tiz\'on-Escamilla, Vivien Lecomte, Eric Bertin

TL;DR
This paper investigates rare fluctuations in a one-dimensional particle system under weak noise, revealing a dynamical phase transition and providing a method to derive effective driven dynamics that explain these rare events.
Contribution
It introduces a new approach to explicitly determine effective driven Langevin dynamics for rare events in weak-noise systems, linking dynamical phase transitions to depinning phenomena.
Findings
Identification of propagative trajectories for large deviations
Development of a method to compute the scaled cumulant generating function
Mapping of biased dynamics to an effective driven Langevin process
Abstract
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 rare trajectories presenting an atypical value of the observable, that we study through a biased dynamics in a large-deviation framework. We determine explicitly the effective probability-conserving dynamics which makes rare trajectories of the original dynamics become typical trajectories of the effective one. Our approach makes use of a weak-noise path-integral description in which the action is minimised by the rare trajectories of interest. For `current-type' additive observables, we find the emergence of a propagative trajectory minimising the action for large enough deviations, revealing the existence of a dynamical phase transition at a fluctuating level. In addition, we provide a new method to…
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