Smooth Stable and Unstable Manifolds for Stochastic Evolutionary Equations

By Jinqiao Duan, Kening Lu, B. Schmalfuβ. 2004

156 citations recorded by the source corpus.

Invariant manifolds are fundamental tools for describing and understanding nonlinear dynamics. In this paper, we present a theory of stable and unstable manifolds for infinite dimensional random dynamical systems generated by a class of stochastic partial differential equations. We first show the existence of Lipschitz continuous stable and unstable manifolds by the Lyapunov–Perron’s method. Then, we prove the smoothness of these invariant manifolds.

Subfields: Applied Mathematics, Control and Systems Engineering, Finance

View Paper: https://www.semanticscholar.org/paper/6a9a72d1f9e92f9d34e284b69e02f949b43a4390

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In Applied Mathematics

  1. Chunrong Feng
  2. Huaizhong Zhao
  3. Kening Lu
  4. Mickaël D. Chekroun
  5. Michael Ghil
  6. B. Schmalfuβ
  7. Tomás Caraballo
  8. Bixiang Wang

In Control and Systems Engineering

  1. Chunrong Feng
  2. Huaizhong Zhao
  3. Bixiang Wang
  4. Kening Lu
  5. B. Schmalfuβ
  6. Tomás Caraballo
  7. Boya Zhou
  8. Jinqiao Duany

In Finance

  1. Chunrong Feng
  2. Huaizhong Zhao
  3. Kening Lu
  4. B. Schmalfuβ
  5. Tomás Caraballo
  6. Boya Zhou
  7. Bixiang Wang
  8. Yue Wu

Citations in the corpus