Approximation of stochastic invariant manifolds : stochastic manifolds for nonlinear SPDEs I /

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Bibliographic Details
Author / Creator:Chekroun, Mickaël D., author.
Imprint:Cham, Switzerland : Springer, [2014]
©2015
Description:1 online resource (xv, 127 pages) : color illustration.
Language:English
Series:SpringerBriefs in Mathematics, 2191-8198
SpringerBriefs in mathematics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11091075
Hidden Bibliographic Details
Other authors / contributors:Liu, Honghu, author.
Wang, Shouhong, author.
ISBN:9783319124964
331912496X
9783319124957
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed January 7, 2015).
Summary: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 unifie.
Other form:Print version: Chekroun, Micka©"l D. Approximation of Stochastic Invariant Manifolds : Stochastic Manifolds for Nonlinear SPDEs I. Cham : Springer International Publishing, ©2014 9783319124957

MARC

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245 1 0 |a Approximation of stochastic invariant manifolds :  |b stochastic manifolds for nonlinear SPDEs I /  |c Mickaël D. Chekroun, Honghu Liu, Shouhong Wang. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2014] 
264 4 |c ©2015 
300 |a 1 online resource (xv, 127 pages) :  |b color illustration. 
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490 1 |a SpringerBriefs in Mathematics,  |x 2191-8198 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed January 7, 2015). 
505 0 |a Preface; Acknowledgments; Contents; Acronyms; 1 General Introduction; 2 Stochastic Invariant Manifolds: Background and Main Contributions; 3 Preliminaries; 3.1 Stochastic Evolution Equations; 3.2 Random Dynamical Systems; 3.3 Cohomologous Cocycles and Random Evolution Equations; 3.4 Linearized Stochastic Flow and Related Estimates; 4 Existence and Attraction Properties of Global Stochastic Invariant Manifolds; 4.1 Existence and Smoothness of Global Stochastic Invariant Manifolds; 4.2 Asymptotic Completeness of Stochastic Invariant Manifolds. 
505 8 |a 5 Local Stochastic Invariant Manifolds: Preparation to Critical Manifolds6 Local Stochastic Critical Manifolds: Existence and Approximation Formulas; 6.1 Standing Hypotheses; 6.2 Existence of Local Stochastic Critical Manifolds; 6.3 Approximation of Local Stochastic Critical Manifolds; 6.4 Proofs of Theorem 6.1 and Corollary 6.1; 7 Approximation of Stochastic Hyperbolic Invariant Manifolds; Appendix AClassical and Mild Solutionsof the Transformed RPDE; Appendix BProof of Theorem 4.1; References; Index. 
520 |a 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 unifie. 
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650 4 |a Differential Equations. 
650 4 |a Differential equations, partial. 
650 4 |a Distribution (Probability theory. 
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700 1 |a Wang, Shouhong,  |e author.  |0 http://id.loc.gov/authorities/names/n99024000  |1 http://viaf.org/viaf/81024656 
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