Journals
Resources
About Us
Open Access

Quadratic Invariants and Symplectic Structure of General Linear Methods

Quadratic Invariants and Symplectic Structure of General Linear Methods

Year:    2001

Author:    Ai-Guo Xiao, Shou-Fu Li, Min Yang

Journal of Computational Mathematics, Vol. 19 (2001), Iss. 3 : pp. 269–280

Abstract

In this paper, we present some invariants and conservation laws of general linear methods applied to differential equation systems. We show that the quadratic invariants and symplecticity of the systems can be extended to general linear methods by a tensor product, and show that general linear methods with the matrix M=0 inherit in an extended sense the quadratic invariants possessed by the differential equation systems being integrated and preserve in an extended sense the symplectic structure of the phase space in the integration of Hamiltonian systems. These unify and extend existing relevant results on Runge-Kutta methods, linear multistep methods and one-leg methods. Finally, as special cases of general linear methods, we examine multistep Runge-Kutta methods, one-leg methods and linear two-step methods in detail.  

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2001-JCM-8979

Journal of Computational Mathematics, Vol. 19 (2001), Iss. 3 : pp. 269–280

Published online:    2001-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    12

Keywords:    Quadratic invariants Symplecticity General linear methods Hamiltonian systems.

Author Details

Ai-Guo Xiao

Shou-Fu Li

Min Yang