Barrier crossing driven by Levy noise: Universality and the Role of Noise Intensity
Aleksei V. Chechkin, Oleksii Yu. Sliusarenko, Ralf Metzler, Joseph Klafter
Abstract
We study the barrier crossing of a particle driven by white symmetric Levy noise of index α and intensity DD for three different generic types of potentials: (a) a bistable potential; (b) a metastable potential; and (c) a truncated harmonic potential. For the low noise intensity regime we recover the previously proposed algebraic dependence on D of the characteristic escape time, Tesc C(α)/Dμ(α), where C(α) is a coefficient. It is shown that the exponent μ(α) remains approximately constant, μ≈ 1 for 0<α<2; at α=2 the power-law form of Tesc changes into the known exponential dependence on 1/D; it exhibits a divergence-like behavior as α approaches 2. In this regime we observe a monotonous increase of the escape time Tesc with increasing α (keeping the noise intensity D constant). The probability density of the escape time decays exponentially. In addition, for low noise intensities the escape times correspond to barrier crossing by multiple Levy steps. For high noise intensities, the escape time curves collapse for all values of α. At intermediate noise intensities, the escape time exhibits non-monotonic dependence on the index α$, while still retaining the exponential form of the escape time density.
Create a lesson
Related papers
Long-time Dynamics of Many-body Open Quantum Systems using Quantum Generating Functions
Katha Ganguly, Dario Poletti, Bijay Kumar Agarwalla
Localization Delocalization Transition in Diffusion with Adaptive Resetting
Tommer D. Keidar, Shlomi Reuveni
Quenched activity induces nonuniversal scaling in nonreciprocal XY Models and surfaces
Sudip Mukherjee, Abhik Basu
Brownian yet non-Gaussian diffusion through equilibrium nonlinear friction
Jakob Mihatsch, Andreas M. Menzel
When dissipative steady states admit thermodynamic occupation laws
Tetsu Ichitsubo
Fluctuation--response relations from an emergent Z2 symmetry in the rotating stochastic Landau model
Dhruv Kush, Nicki Mullins, Mauricio Hippert et al.