Predictability in Nonlinear Dynamical Systems with Model Uncertainty

2008/11/22 by Jinqiao Duan, Duan, Jinqiao
Mathematics · #34C45 #34F05 #37H10 #60H10 #Dynamical Systems (math.DS) #FOS: Mathematics #Probability (math.PR) #math.DS #math.PR #msc:34C45 #msc:34F05 #msc:37H10 #msc:60H10

paper · pdf · doi:10.48550/arxiv.0811.3697

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

arxiv created 2008/11/22 · arxiv updated 2009/12/01

Abstract

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.

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