What makes nonholonomic integrators work?
Klas Modin, Olivier Verdier

TL;DR
This paper investigates why nonholonomic integrators perform well over long times, attributing their success mainly to reversibility and demonstrating that non-reversible systems challenge their effectiveness.
Contribution
It provides evidence that reversibility, rather than just the Lagrange-d'Alembert principle, underpins the good long-term behavior of nonholonomic integrators and introduces perturbed problems to test their limitations.
Findings
Reversibility explains near conservation of integrals in nonholonomic integrators.
Many test problems are foliated over reversible integrable systems.
Non-reversible problems show reduced integrator performance.
Abstract
A nonholonomic system is a mechanical system with velocity constraints not originating from position constraints; rolling without slipping is the typical example. A nonholonomic integrator is a numerical method specifically designed for nonholonomic systems. It has been observed numerically that many nonholonomic integrators exhibit excellent long-time behaviour when applied to various test problems. The excellent performance is often attributed to some underlying discrete version of the Lagrange--d'Alembert principle. Instead, in this paper, we give evidence that reversibility is behind the observed behaviour. Indeed, we show that many standard nonholonomic test problems have the structure of being foliated over reversible integrable systems. As most nonholonomic integrators preserve the foliation and the reversible structure, near conservation of the first integrals is a consequence…
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