Lévy on-off intermittency
We present a new form of intermittency, Lévy on-off intermittency, which arises from multiplicative $α$-stable white noise close to an instability threshold. We study this problem in the linear and nonlinear regimes, both theoretically and numerically, for the case of a pitchfork bifurcation with fluctuating growth rate. We compute the stationary distribution analytically and numerically from the associated fractional Fokker-Planck equation in the Stratonovich interpretation. We characterize the system in the parameter space $(α,β)$ of the noise, with stability parameter $α\in (0,2)$ and skewness parameter $β\in[-1,1]$. Five regimes are identified in this parameter space, in addition to the well-studied Gaussian case $α=2$. Three regimes are located at $1<α<2$, where the noise has finite mean but infinite variance. They are differentiated by $β$ and all display a critical transition at the deterministic instability threshold, with on-off intermittency close to onset. Critical exponents are computed from the stationary distribution. Each regime is characterized by a specific form of the density and specific critical exponents, which differ starkly from the Gaussian case. A finite or infinite number of integer-order moments may converge, depending on parameters. Two more regimes are found at $0<α\leq 1$. There, the mean of the noise diverges, and no critical transition occurs. In one case the origin is always unstable, independently of the distance $μ$ from the deterministic threshold. In the other case, the origin is conversely always stable, independently of $μ$. We thus demonstrate that an instability subject to non-equilibrium, power-law-distributed fluctuations can display substantially different properties than for Gaussian thermal fluctuations, in terms of statistics and critical behavior.