English

Discrete Euler-Poincar\'{e} and Lie-Poisson Equations

Numerical Analysis 2025-10-20 v1 Numerical Analysis Symplectic Geometry

Abstract

In this paper, discrete analogues of Euler-Poincar\'{e} and Lie-Poisson reduction theory are developed for systems on finite dimensional Lie groups GG with Lagrangians L:TGRL:TG \to {\mathbb R} that are GG-invariant. These discrete equations provide ``reduced'' numerical algorithms which manifestly preserve the symplectic structure. The manifold G×GG \times G is used as an approximation of TGTG, and a discrete Langragian L:G×GR{\mathbb L}:G \times G \to {\mathbb R} is construced in such a way that the GG-invariance property is preserved. Reduction by GG results in new ``variational'' principle for the reduced Lagrangian :GR\ell:G \to {\mathbb R}, and provides the discrete Euler-Poincar\'{e} (DEP) equations. Reconstruction of these equations recovers the discrete Euler-Lagrange equations developed in \cite{MPS,WM} which are naturally symplectic-momentum algorithms. Furthermore, the solution of the DEP algorithm immediately leads to a discrete Lie-Poisson (DLP) algorithm. It is shown that when G=SO(n)G=\text{SO} (n), the DEP and DLP algorithms for a particular choice of the discrete Lagrangian L{\mathbb L} are equivalent to the Moser-Veselov scheme for the generalized rigid body. %As an application, a reduced symplectic integrator for two dimensional %hydrodynamics is constructed using the SU(n)(n) approximation to the volume %preserving diffeomorphism group of T2{\mathbb T}^2.

Keywords

Cite

@article{arxiv.math/9909099,
  title  = {Discrete Euler-Poincar\'{e} and Lie-Poisson Equations},
  author = {Jerrold E. Marsden and Sergey Pekarsky and Steve Shkoller},
  journal= {arXiv preprint arXiv:math/9909099},
  year   = {2025}
}