Symplectic Integration of Stochastic Hamiltonian Systems
Author | : Jialin Hong |
Publisher | : Springer Nature |
Total Pages | : 307 |
Release | : 2023-02-21 |
ISBN-10 | : 9789811976704 |
ISBN-13 | : 9811976708 |
Rating | : 4/5 (708 Downloads) |
Download or read book Symplectic Integration of Stochastic Hamiltonian Systems written by Jialin Hong and published by Springer Nature. This book was released on 2023-02-21 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an accessible overview concerning the stochastic numerical methods inheriting long-time dynamical behaviours of finite and infinite-dimensional stochastic Hamiltonian systems. The long-time dynamical behaviours under study involve symplectic structure, invariants, ergodicity and invariant measure. The emphasis is placed on the systematic construction and the probabilistic superiority of stochastic symplectic methods, which preserve the geometric structure of the stochastic flow of stochastic Hamiltonian systems. The problems considered in this book are related to several fascinating research hotspots: numerical analysis, stochastic analysis, ergodic theory, stochastic ordinary and partial differential equations, and rough path theory. This book will appeal to researchers who are interested in these topics.