Jialin Hong Xu Wang Hong Invariant Measures for Stochastic Nonlinear Schrödinger Equations

Invariant Measures for Stochastic Nonlinear Schrödinger Equations

von Jialin Hong Xu Wang

Numerical Approximations and Symplectic Structures

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Beschreibung

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.
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

Autor*in

Jialin Hong

Themen in »Invariant Measures for Stochastic Nonlinear Schrödinger Equations«

Invariant measures ergodic theory stochastic nonlinear Schrödinger equations symplectic and multi-symplectic structures numerical approximations partial differential equations

Stimmen zu »Invariant Measures for Stochastic Nonlinear Schrödinger Equations«

Details

ISBN: 9789813290686
Verlag: Springer Singapore
Erscheinung: 23.08.2019

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