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Related papers: Volume Preservation by Runge-Kutta Methods

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We give a systematic method for discretizing Hamiltonian partial differential equations (PDEs) with constant symplectic structure, while preserving their energy exactly. The same method, applied to PDEs with constant dissipative structure,…

Numerical Analysis · Mathematics 2015-06-04 E. Celledoni , V. Grimm , R. I. McLachlan , D. I. McLaren , D. O'Neale , B. Owren , G. R. W. Quispel

We study the Euler-Lagrange cohomology and explore the symplectic or multisymplectic geometry and their preserving properties in classical mechanism and classical field theory in Lagrangian and Hamiltonian formalism in each case…

High Energy Physics - Theory · Physics 2007-05-23 H. Y. Guo , Y. Q. Li , K. Wu , S. K. Wang

We construct explicit integrators of arbitrary even orders of accuracy for massive point vortex dynamics in binary mixture of Bose--Einstein condensates proposed by Richaud et al. The integrators are symplectic and preserve the angular…

Quantum Gases · Physics 2026-05-01 Tomoki Ohsawa

Isospectral Runge-Kutta methods are well-suited for the numerical solution of isospectral systems such as the rigid body and the Toda lattice. More recently, these integrators have been applied to geophysical fluid models, where their…

Numerical Analysis · Mathematics 2025-06-10 Clauson Carvalho da Silva , Christian Lessig , Carlos Tomei

For k-symplectic Hamiltonian field theories, we study infinitesimal transformations generated by certain kinds of vector fields which are not Noether symmetries, but which allow us to obtain conservation laws by means of a suitable…

Mathematical Physics · Physics 2015-12-15 Narciso Roman-Roy , Modesto Salgado , Silvia Vilarino

Elementary sub-Riemannian geometry on the Heisenberg group H(n) provides a compact picture of symplectic geometry. Any Hamiltonian diffeomorphism on $R^{2n}$ lifts to a volume preserving bi-Lipschitz homeomorphisms of H(n), with the use of…

Symplectic Geometry · Mathematics 2007-05-23 Marius Buliga

This paper presents a method for learning Hamiltonian dynamics from a limited set of data points. The Hamiltonian vector field is found by regularized optimization over a reproducing kernel Hilbert space of vector fields that are inherently…

Robotics · Computer Science 2024-11-05 Torbjørn Smith , Olav Egeland

Explicit and semi-explicit geometric integration schemes for dissipative perturbations of Hamiltonian systems are analyzed. The dissipation is characterized by a small parameter $\epsilon$, and the schemes under study preserve the…

Numerical Analysis · Mathematics 2015-03-19 Klas Modin , Gustaf Söderlind

We provide here a comprehensive proof that the so-called Labyrinth chaos systems, a member of the Thomas-R\"ossler (TR) class of systems do not admit a Hamiltonian; yet they admit a vector potential. The proof starts from the general case…

Chaotic Dynamics · Physics 2020-02-26 Anouchah Latifi , Vasileios Basios

In this paper, we develop bound-preserving techniques for the Runge--Kutta (RK) discontinuous Galerkin (DG) method with compact stencils (cRKDG method) for hyperbolic conservation laws. The cRKDG method was recently introduced in [Q. Chen,…

Numerical Analysis · Mathematics 2025-05-20 Chen Liu , Zheng Sun , Xiangxiong Zhang

Time-centered, hence second-order, methods for integrating the relativistic momentum of charged particles in an electromagnetic field are derived. A new method is found by averaging the momentum before use in the magnetic rotation term, and…

Plasma Physics · Physics 2017-05-24 Adam V. Higuera , John R. Cary

It is difficult to design high order numerical schemes which could preserve both the maximum bound property (MBP) and energy dissipation law for certain phase field equations. Strong stability preserving (SSP) Runge-Kutta methods have been…

Numerical Analysis · Mathematics 2022-03-10 Zhaohui Fu , Tao Tang , Jiang Yang

A complete geometric classification of symmetries of autonomous Hamiltonian mechanical systems is established; explaining how to obtain their associated conserved quantities in all cases. In particular, first we review well-known results…

Mathematical Physics · Physics 2020-10-05 N. Román-Roy

We propose a technique for investigating stability properties like positivity and forward invariance of an interval for method-of-lines discretizations, and apply the technique to study positivity preservation for a class of TVD…

Numerical Analysis · Mathematics 2017-02-15 Imre Fekete , David I. Ketcheson , Lajos Lóczi

A wide range of physical phenomena exhibit auxiliary admissibility criteria, such as conservation of entropy or various energies, which arise implicitly under the exact solution of their governing PDEs. However, standard temporal schemes,…

Numerical Analysis · Mathematics 2024-01-29 Mohammad R. Najafian , Brian C. Vermeire

We give a possible extension for shears and overshears in the case of two non commutative (quaternionic) variables in relation with the associated vector fields and flows. We present a possible definition of volume preserving automorphisms,…

Complex Variables · Mathematics 2018-10-29 Jasna Prezelj , Fabio Vlacci

In the Hamiltonian formulation, it is not a priori clear whether a symmetric configuration will keep its symmetry during evolution. In this paper, we give precise requirements of when this is the case and propose a symmetry restriction to…

General Relativity and Quantum Cosmology · Physics 2021-11-01 Wojciech Kamiński , Klaus Liegener

Quantum liquids in two dimensions represent interesting dynamical quantum systems for several reasons, among them the possibility of the existence of infinite hidden symmetries, such as conformal symmetry or the symmetry associated with…

Mathematical Physics · Physics 2013-11-28 Eldad Bettelheim

We show that for any finite-dimensional quantum systems the conserved quantities can be characterized by their robustness to small perturbations: for fragile symmetries small perturbations can lead to large deviations over long times, while…

Quantum Physics · Physics 2021-04-14 Daniel Burgarth , Paolo Facchi , Hiromichi Nakazato , Saverio Pascazio , Kazuya Yuasa

This paper investigates the problem of data-driven modeling of port-Hamiltonian systems while preserving their intrinsic Hamiltonian structure and stability properties. We propose a novel neural-network-based port-Hamiltonian modeling…

Systems and Control · Electrical Eng. & Systems 2026-04-16 Binh Nguyen , Nam T. Nguyen , Truong X. Nghiem