Levy stable noise induced transitions: stochastic resonance, resonant activation and dynamic hysteresis
Bartlomiej Dybiec, Ewa Gudowska-Nowak

TL;DR
This paper explores how non-Gaussian, heavy-tailed Le9vy stable noise influences stochastic dynamics, revealing that noise-induced phenomena like resonance and hysteresis persist even with infinite variance fluctuations.
Contribution
It provides a comprehensive overview of recent research on the effects of Le9vy stable noise on stochastic systems, highlighting the robustness of noise-induced phenomena under non-Gaussian conditions.
Findings
Noise-induced ordering persists with Le9vy noise
Phenomena like stochastic resonance are robust under heavy-tailed fluctuations
Le9vy noise can induce superdiffusive behavior in systems
Abstract
A standard approach to analysis of noise-induced effects in stochastic dynamics assumes a Gaussian character of the noise term describing interaction of the analyzed system with its complex surroundings. An additional assumption about the existence of timescale separation between the dynamics of the measured observable and the typical timescale of the noise allows external fluctuations to be modeled as temporally uncorrelated and therefore white. However, in many natural phenomena the assumptions concerning the abovementioned properties of "Gaussianity" and "whiteness" of the noise can be violated. In this context, in contrast to the spatiotemporal coupling characterizing general forms of non-Markovian or semi-Markovian L\'evy walks, so called L\'evy flights correspond to the class of Markov processes which still can be interpreted as white, but distributed according to a more general,…
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