arXiv:0811.3697 Abstract | arXiv Analytics

arXiv:0811.3697 [math.DS]Abstract References Reviews Resources

Predictability in Nonlinear Dynamical Systems with Model Uncertainty

Published 2008-11-22Version 1

Nonlinear systems with model uncertainty are often described by stochastic differential equations. Some techniques from random dynamical systems are discussed. They are relevant to better understanding of solution processes of stochastic differential equations and thus may shed lights on predictability in nonlinear systems with model uncertainty.

Comments: A review and tutorial article; Stochastic Physics and Climate Modeling, T. N. Palmer and P. Williams (eds.), Cambridge Univ. Press, 2008 (to appear)

Categories: math.DS, math.PR

Subjects: 34F05, 34C45, 37H10, 60H10

Keywords: model uncertainty, nonlinear dynamical systems, stochastic differential equations, predictability, nonlinear systems

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