Runge--Kutta methods determined from extended phase space methods for Hamiltonian systems
Robert I McLachlan

TL;DR
This paper analyzes two extended phase space integrators for Hamiltonian systems, revealing their symplectic and pseudosymplectic properties, and classifies them as specific types of Runge--Kutta methods.
Contribution
It provides a detailed classification of existing extended phase space integrators as Runge--Kutta methods with symplectic and pseudosymplectic properties.
Findings
Midpoint projection method is pseudosymplectic and pseudosymmetric Runge--Kutta.
Symmetric projection method is a monoimplicit symplectic Runge--Kutta.
Both methods preserve geometric properties of Hamiltonian systems.
Abstract
We study two existing extended phase space integrators for Hamiltonian systems, the {\em midpoint projection method} and the {\em symmetric projection method}, showing that the first is a pseudosymplectic and pseudosymmetric Runge--Kutta method and the second is a monoimplicit symplectic Runge--Kutta method.
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Taxonomy
TopicsNumerical methods for differential equations · Model Reduction and Neural Networks · Matrix Theory and Algorithms
