Predictability in Spatially Extended Systems with Model Uncertainty
Dynamical Systems
2009-03-27 v2 Analysis of PDEs
Probability
Abstract
Macroscopic models for spatially extended systems under random influences are often described by stochastic partial differential equations (SPDEs). Some techniques for understanding solutions of such equations, such as estimating correlations, Liapunov exponents and impact of noises, are discussed. They are relevant for understanding predictability in spatially extended systems with model uncertainty, for example, in physics, geophysics and biological sciences. The presentation is for a wide audience.
Cite
@article{arxiv.0812.3679,
title = {Predictability in Spatially Extended Systems with Model Uncertainty},
author = {Jinqiao Duan},
journal= {arXiv preprint arXiv:0812.3679},
year = {2009}
}
Comments
To appear in the Journal "Engineering Simulation", 2009