Peculiarities of escape kinetics in the presence of athermal noises
Karol Capa{\l}a, Bart{\l}omiej Dybiec, Ewa Gudowska-Nowak

TL;DR
This paper investigates how non-Gaussian Le9vy noise influences escape kinetics in dynamic systems, revealing that heavy-tailed noise alters escape protocols and stationary states, deviating from classical thermal noise predictions.
Contribution
It introduces the effects of Le9vy noise on escape kinetics, showing how non-Gaussian, burst-like forcing changes the escape mechanism and stationary states compared to Gaussian noise.
Findings
Escape rates depend on barrier width, not height, under Le9vy noise.
Heavy tails facilitate escape and lead to non-Boltzmann stationary states.
Combined thermal and Le9vy noises affect passage time statistics.
Abstract
Stochastic evolution of various dynamic systems and reaction networks is commonly described in terms of noise assisted escape of an overdamped particle from a potential well, as devised by the paradigmatic Langevin equation in which additive Gaussian stochastic force reproduces effects of thermal fluctuations from the reservoir. When implemented for systems close to equilibrium, the approach correctly explains emergence of Boltzmann distribution for the ensemble of trajectories generated by Langevin equation and relates intensity of the noise strength to the mobility. This scenario can be further generalized to include effects of non-Gaussian, burst-like forcing modeled by L\'evy noise. In this case however, the pulsatile additive noise cannot be treated as the internal (thermal), since the relation between the strength of the friction and variance of the noise is violated. Heavy…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
