Lyapunov Exponents of Two Stochastic Lorenz 63 Systems
arXiv:1706.05882 · doi:10.1007/s10955-019-02457-3
Abstract
Two different types of perturbations of the Lorenz 63 dynamical system for Rayleigh-Benard convection by multiplicative noise -- called stochastic advection by Lie transport (SALT) noise and fluctuation-dissipation (FD) noise -- are found to produce qualitatively different effects, possibly because the total phase-space volume contraction rates are different. In the process of making this comparison between effects of SALT and FD noise on the Lorenz 63 system, a stochastic version of a robust deterministic numerical algorithm for obtaining the individual numerical Lyapunov exponents was developed. With this stochastic version of the algorithm, the value of the sum of the Lyapunov exponents for the FD noise was found to differ significantly from the value of the deterministic Lorenz 63 system, whereas the SALT noise preserves the Lorenz 63 value with high accuracy. The Lagrangian averaged version of the SALT equations (LA SALT) is found to yield a closed deterministic subsystem for the expected solutions which is found to be isomorphic to the original Lorenz 63 dynamical system. The solutions of the closed chaotic subsystem, in turn, drive a linear stochastic system for the fluctuations of the LA SALT solutions around their expected values.
19 pages, 4 figures, comments always welcome!
References in corpus (7)
- Solution properties of a 3D stochastic Euler fluid equation
- Comparison of computational codes for direct numerical simulations of turbulent Rayleigh-Bénard convection
- The effects of Ekman pumping on quasi-geostrophic Rayleigh-Benard convection
- Stochastic partial differential fluid equations as a diffusive limit of deterministic Lagrangian multi-time dynamics
- Stochastic geometric models with non-stationary spatial correlations in Lagrangian fluid flows
- Modelling the climate and weather of a 2D Lagrangian-averaged Euler-Boussinesq equation with transport noise
- The Stochastic Energy-Casimir Method