Invariant Measures for Stochastic Nonlinear Schrödinger Equations

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Details

This book provides some recent advance in the study of stochastic nonlinear Schrödinger equations and their numerical approximations, including the well-posedness, ergodicity, symplecticity and multi-symplecticity. It gives an accessible overview of the existence and uniqueness of invariant measures for stochastic differential equations, introduces geometric structures including symplecticity and (conformal) multi-symplecticity for nonlinear Schrödinger equations and their numerical approximations, and studies the properties and convergence errors of numerical methods for stochastic nonlinear Schrödinger equations.
This book will appeal to researchers who are interested in numerical analysis, stochastic analysis, ergodic theory, partial differential equation theory, etc.

Gives a detailed introduction to ergodicity and symplectic and multi-symplectic structures for stochastic nonlinear Schrödinger equations Provides the study of ergodic numerical approximations for stochastic nonlinear Schrödinger equations without strong dissipative terms Constructs numerical approximations which inherit both dynamical behaviors and geometric structures even for stochastic nonlinear Schrödinger equation of conservative type

Autorentext
Prof. Jialin Hong, professor, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China/School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China Dr. Xu Wang, Golomb visiting assistant professor, Department of Mathematics, Purdue University, West Lafayette, 47906 IN, USA.


Inhalt
Invariant measures and ergodicity.- Invariant measures for stochastic differential equations.- Invariant measures for stochastic nonlinear Schrödinger equations.- Geometric structures and numerical schemes for nonlinear Schrödinger equations.- Numerical invariant measures for damped stochastic nonlinear Schrödinger equations.- Approximation of ergodic limit for conservative stochastic nonlinear Schrödinger equations.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09789813290686
    • Sprache Englisch
    • Auflage 1st edition 2019
    • Größe H235mm x B155mm x T13mm
    • Jahr 2019
    • EAN 9789813290686
    • Format Kartonierter Einband
    • ISBN 9813290684
    • Veröffentlichung 23.08.2019
    • Titel Invariant Measures for Stochastic Nonlinear Schrödinger Equations
    • Autor Xu Wang , Jialin Hong
    • Untertitel Numerical Approximations and Symplectic Structures
    • Gewicht 365g
    • Herausgeber Springer Nature Singapore
    • Anzahl Seiten 236
    • Lesemotiv Verstehen
    • Genre Mathematik

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