Invariant Measures for Stochastic Nonlinear Schrödinger Equations : Numerical Approximations and Symplectic Structures

Springer
SKU:
9789813290686
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ISBN13:
9789813290686
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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.


  • | Author: Jialin Hong, Xu Wang
  • | Publisher: Springer
  • | Publication Date: Aug 23, 2019
  • | Number of Pages: 220 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 9813290684
  • | ISBN-13: 9789813290686
Author:
Frances P. Bernat
Publisher:
Routledge
Publication Date:
Oct 09, 2024
Number of pages:
NA pages
Language:
English
Binding:
Paperback
ISBN-10:
1032453796
ISBN-13:
9781032453798