The stable manifold theorem for semilinear stochastic evolution equations and stochastic partial differential equations
著者
書誌事項
The stable manifold theorem for semilinear stochastic evolution equations and stochastic partial differential equations
（Memoirs of the American Mathematical Society, no. 917）
American Mathematical Society, 2008
大学図書館所蔵 件 / 全12件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"Volume 196, number 917 (fourth of 5 numbers)."
Includes bibliographical references (p. 103-105)
内容説明・目次
内容説明
The main objective of this paper is to characterize the pathwise local structure of solutions of semilinear stochastic evolution equations (see's) and stochastic partial differential equations (spde's) near stationary solutions. Such characterization is realized through the long-term behavior of the solution field near stationary points. The analysis is in two parts.In Part 1, the authors prove general existence and compactness theorems for $C^k$-cocycles of semilinear see's and spde's. The results cover a large class of semilinear see's as well as certain semilinear spde's with Lipschitz and non-Lipschitz terms such as stochastic reaction diffusion equations and the stochastic Burgers equation with additive infinite-dimensional noise. In Part 2, stationary solutions are viewed as cocycle-invariant random points in the infinite-dimensional state space. The pathwise local structure of solutions of semilinear see's and spde's near stationary solutions is described in terms of the almost sure longtime behavior of trajectories of the equations in relation to the stationary solution.
目次
- Introduction
- Part 1. The stochastic semiflow: Basic concepts Flows and cocycles of semilinear see's Semilinear spde's: Lipschitz nonlinearity Semilinear spde's: Non-Lipschitz nonlinearity
- Part 2. Existence of stable and unstable manifolds: Hyperbolicity of a stationary trajectory The nonlinear ergodic theorem Proof of the local stable manifold theorem The local stable manifold theorem for see's and spde's Acknowledgments Bibliography.
「Nielsen BookData」 より
