Activation process driven by strongly non-Gaussian noises

TL;DR

This paper investigates how strongly non-Gaussian noises influence escape dynamics over a fluctuating barrier, revealing conditions that optimize reaction times through resonant activation.

Contribution

It demonstrates the impact of non-Gaussian stable noises on escape times and resonant activation, highlighting how noise structure affects system kinetics.

Findings

Stable non-Gaussian noises can enhance escape rates.

Optimal barrier switching rates induce resonant activation.

Non-Gaussian noise structure significantly influences reaction efficiency.

Abstract

The constructive role of non-Gaussian random fluctuations is studied in the context of the passage over the dichotomously switching potential barrier. Our attention focuses on the interplay of the effects of independent sources of fluctuations: an additive stable noise representing non-equilibrium external random force acting on the system and a fluctuating barrier. In particular, the influence of the structure of stable noises on the mean escape time and on the phenomenon of resonant activation (RA) is investigated. By use of the numerical Monte Carlo method it is documented that the suitable choice of the barrier switching rate and random external fields may produce resonant phenomenon leading to the enhancement of the kinetics and the shortest, most efficient reaction time.