Approximating Stationary Statistical Properties

Citation:

Xiaoming WANG.Approximating Stationary Statistical Properties[J].Chinese Annals of Mathematics B,2009,30(6):831~844
Page view: 1822        Net amount: 1196

Authors:

Xiaoming WANG;

Foundation:

the National Science Foundation (No. DMS0606671) and a 111 project from the Chinese MOE.
Abstract: It is well-known that physical laws for large chaotic dynamical systems are revealed statistically. Many times these statistical properties of the system must be ap- proximated numerically. The main contribution of this manuscript is to provide simple and natural criterions on numerical methods (temporal and spatial discretization) that are able to capture the stationary statistical properties of the underlying dissipative chaotic dynamical systems asymptotically. The result on temporal approximation is a recent find- ing of the author, and the result on spatial approximation is a new one. Applications to the infinite Prandtl number model for convection and the barotropic quasi-geostrophic model are also discussed.

Keywords:

Stationary statistical property, Invariant measure, Global attractor, Dissipative system, Time discretization, Spatial discretisation, Uni- formly dissipative scheme, Infinite Prandtl number model for convec- tion, Barotropic quasi-geostrophic equations

Classification:

65P99, 37M25, 65M12, 37L40, 76F35, 76F20, 37L30, 37N10, 35Q35
Download PDF Full-Text

主管单位:国家教育部 主办单位:复旦大学 地址:220 Handan Road, Fudan University, Shanghai, China E-mail:edcam@fudan.edu.cn

本系统由北京勤云科技发展有限公司提供技术支持