We love eBooks
    Approximation of stochastic invariant manifolds
    Editora

    Approximation of stochastic invariant manifolds

    Por CHEKROUN, MICKAEL D., LIU, HONGHU, WANG, SHOUHONG

    Sobre

    This first volume is concerned with the analytic derivation of explicit formulas for the leading-order Taylor approximations of (local) stochastic invariant manifolds associated with a broad class of nonlinear stochastic partial differential equations. These approximations  take the form of Lyapunov-Perron integrals, which are further characterized in Volume II as pullback limits associated with some partially coupled backward-forward systems. This pullback characterization provides a useful interpretation of the corresponding approximating manifolds and leads to a simple framework that unifies some other approximation approaches in the literature. A self-contained survey is also included on the existence and attraction of one-parameter families of stochastic invariant manifolds, from the point of view of the theory of random dynamical systems.
    Baixar eBook Link atualizado em 2017
    Talvez você seja redirecionado para outro site

    Relacionados com esse eBook

    Navegar por coleções