Runge–Kutta methods determined from extended phase space methods for Hamiltonian systems

08/12/2023
by   Robert I McLachlan, et al.
0

We study two existing extended phase space integrators for Hamiltonian systems, the midpoint projection method and the 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/21/2021

Semiexplicit Symplectic Integrators for Non-separable Hamiltonian Systems

We construct a symplectic integrator for non-separable Hamiltonian syste...
research
08/08/2022

Explicit K-symplectic methods for nonseparable non-canonical Hamiltonian systems

We propose efficient numerical methods for nonseparable non-canonical Ha...
research
01/11/2020

Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems

This work presents a framework of constructing the neural networks prese...
research
06/06/2022

Port-Hamiltonian Neural Networks with State Dependent Ports

Hybrid machine learning based on Hamiltonian formulations has recently b...
research
07/05/2019

Fast optical absorption spectra calculations for periodic solid state systems

We present a method to construct an efficient approximation to the bare ...
research
08/22/2022

Preservation of Quadratic Invariants by Semiexplicit Symplectic Integrators for Non-separable Hamiltonian Systems

We prove that the recently developed semiexplicit symplectic integrators...
research
10/07/2021

Adjustment of force-gradient operator in symplectic methods

Many force-gradient explicit symplectic integration algorithms have been...

Please sign up or login with your details

Forgot password? Click here to reset