
Numerical Hamiltonian Problems
CRC Press
Published on 15. May 1994
Book
Paperback/Softback
XII, 207 pages
978-0-412-54290-9 (ISBN)
Description
'Nifio, nifio-dijo con voz alta a esta saz6n don Quijote-seguid vues tra historia en lfnea recta, y no os metB. is en las curvas y transver sales. ' M. de Cervantes, El Ingenioso Hidalgo Don Quijote de la Man cha, Parte II, Capltulo XXVI. 'Pray don't trouble yourself to say it any Ionger than that. ' L. Carroll, Alice's Adventures in Wonderland, Chapter IX. Recent years have witnessed a dramatic growth of the Iiterature on symplectic integration of Hamiltonian problems. While the sub ject is still changing rapidly and important discoveries may yet be made, we feel it is time to present a unified view of this interdisci plinary field. The purpose of this book is to offer such a unified first introduction. Being exhaustive in the topics included and saying the last word on every issue treated have not been amongst our aims. Some readers may be interested in integrating the Hamiltonian problems they find in their own scientific field. This sort of reader cannot reasonably be expected to be an expert in numerical meth ods. On the other hand, readers with an expertise in numerical methods may wish to enter the Hamiltonian field in order to de sign and analyse new Hamiltonian integrators. In our experience, readers in this second group are likely to be uncomfortable with the basic ideas of the Hamiltonian formalism.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1994
Language
English
Place of publication
MA
United States
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Research
Illustrations
21
21 s/w Abbildungen
Dimensions
Height: 21.6 cm
Width: 14 cm
Weight
285 gr
ISBN-13
978-0-412-54290-9 (9780412542909)
DOI
10.1007/978-1-4899-3093-4
Schweitzer Classification
Content
Hamiltonian Systems. Examples of Hamiltonian Systems. Symplecticness. The solution operator. Preservation of area. Checking preservation of area: Jacobians. Checking preservation of area: differential forms. Symplectic transformations. Conservation of volume. Numerical Methods. Numerical integrators. Stiff problems. Runge-Kutta methods. Partitioned Runge-Kutta methods. Runge-Kutta-Nystrom methods. Composition of methods - adjoints. Order conditions. Order conditions for Runge-Kutta methods. The local error in Runge-Kutta methods. Order conditions for PRK methods. The local error in Partitioned Runge-Kutta methods. Order conditions for Runge-Kutta-Nystrom methods. The local error in Runge-Kutta-Nystrom mehthods. Implementation. Variable step sizes. Embedded pairs. Numerical experience with variable step sizes. Implementing implicit methods. Fourth-order Gauss method. Symplectic integration. Symplectic methods. Symplectic Runge-Kutta methods. Symplectic partitioned Runge-Kutta methods. Symplectic Runge-Kutta-Nystrom methods. Necessity of the symplecticness conditions. Symplectic order conditions. Prelimiaries. Order conditions for symplectic RK methods. Order conditions for symplectic PRK methods. Order conditions for symplectic RKN methods. Homogenous form of the order conditions. Available symplectic methods. Symplecticness of the Gauss methods. Diagonally implicity Runge-Kutta methods. Other symplectic Runge-Kutta methods. Explicit partitioned Runge-Kutta methods. Available symplectic Runge-Kutta-Nystrom methods. Numerical experiments. A comparison of symplectic integrators. Variable step sizes for symplectic methods. Conclusions and recommendations. Properties of symplectic integrators. Backward error interpretation. An alternative approach. Conservation of energy. KAM theory. Generating functions. The concept of generating function. Hamilton-Jacobi equations. Integrators based on generating functions. Generating functions for RK methods. Canonical order theory. Lie formalism. The Poisson bracket. Lie operators and Lie series. The Baker-Campbell-Hausdorff formula. Application to fractional-step methods. Extension to the non-Hamilton case. High-order methods. High-order Lie methods. High-order Runge-Kutta-Nystrom methods. A comparison of order 8 symplectic integrators. Extensions. Partitioned Runge-Kutta methods for nonseparable Hamiltonian systems. Canonical B-series. Conjugate symplectic methods. Trapezoidal rule. Constrained systems. General Poisson structures. Multistep methods. Partial differential equations. Reversable systems. Volume preserving flows.