2019
DOI: 10.1007/s10955-019-02457-3
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Lyapunov Exponents of Two Stochastic Lorenz 63 Systems

Abstract: Two different types of perturbations of the Lorenz 63 dynamical system for Rayleigh-Bénard convection by multiplicative noise -called stochastic advection by Lie transport (SALT) noise and fluctuationdissipation (FD) noise -are found to produce qualitatively different effects. For example, SALT noise preserves the sum of the deterministic Lyapunov exponents at any time, while FD noise does not. In the process of making this comparison between effects of SALT and FD noise on the Lorenz 63 system, a stochastic v… Show more

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Cited by 18 publications
(16 citation statements)
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“…More arbitrary choices of multiplicative random Lorenz systems studied in the literature do not necessarily keep such properties (Chekroun et al , ). This key difference between stochastic systems built from a stochastic transport operator and the multiplicative stochastic system studied in Chekroun et al () has also been put forward through the Lyapunov exponents in Geurts et al (). While obtained from a different derivation, the stochastic system with noise transport studied in Geurts et al () is close to the system derived from the modelling under location uncertainty.…”
Section: Stochastic Representation Of the Lorenz‐63 Modelmentioning
confidence: 99%
“…More arbitrary choices of multiplicative random Lorenz systems studied in the literature do not necessarily keep such properties (Chekroun et al , ). This key difference between stochastic systems built from a stochastic transport operator and the multiplicative stochastic system studied in Chekroun et al () has also been put forward through the Lyapunov exponents in Geurts et al (). While obtained from a different derivation, the stochastic system with noise transport studied in Geurts et al () is close to the system derived from the modelling under location uncertainty.…”
Section: Stochastic Representation Of the Lorenz‐63 Modelmentioning
confidence: 99%
“…2. The volume contraction rate is similar to that in the deterministic Lorenz but with an additional term reflecting the contribution of the multiplicative noise term 43 :…”
Section: Stochastic Lorenz System the Lorenz System With Multiplicatmentioning
confidence: 96%
“…This formalism is further used to explore the properties of a stochastically perturbed low-dimensional chaotic dynamical system. Geurts et al [37] show how to construct an effective dynamics for the expectation values of the solutions, which can be mapped to the original deterministic system by considering a renormalised dissipation. • A three-part contribution tries to address the overall problem of inferring information on the natural variability of a system by studying the Ruelle-Pollicott resonances extracted from the time series of partial observations.…”
Section: This Special Issuementioning
confidence: 99%