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The abelian Chern-Simons system is treated as a constrained system using the Hamilton-Jacobi approach. The equations of motion are obtained as total differential equations in many variables. It is shown that their simultaneous solutions…

Mathematical Physics · Physics 2007-05-23 Sami I. Muslih

In the Hamiltonian formalism, and in the presence of a symmetry Lie group, a variational reduction procedure has already been developed for Hamiltonian systems without constraints. In this paper we present a procedure of the same kind, but…

Mathematical Physics · Physics 2019-07-24 Sergio Grillo , Leandro Salomone , Marcela Zuccalli

We explain a method, inspired by control theory model reduction and interpolation theory, that rigorously establishes the types of coarse graining that are appropriate for systems with quadratic, generalized Hamiltonians. For such systems,…

Statistical Mechanics · Physics 2007-05-23 David E. Reynolds

This paper presents a geometric description of Lagrangian and Hamiltonian systems on Lie affgebroids subject to affine nonholonomic constraints. We define the notion of nonholonomically constrained system, and characterize regularity…

Mathematical Physics · Physics 2009-11-13 D. Iglesias , J. C. Marrero , D. Martin de Diego , D. Sosa

We introduce diffusively coupled networks where the dynamical system at each vertex is planar Hamiltonian. The problems we address are synchronisation and an analogue of diffusion-driven Turing instability for time-dependent homogeneous…

Chaotic Dynamics · Physics 2017-06-07 David S. Tourigny

We look at the the possibility of a spray having a Hamiltonian description considering Dirac structure as underlying geometric structure. In a simpler scenario, we consider almost Dirac structure as an auxiliary object to find constants of…

Differential Geometry · Mathematics 2020-08-18 Esmaeil Azizpour , Ghazaleh Moazzami

Lately, to provide a solid ground for quantization of the open string theory with a constant B-field, it has been proposed to treat the boundary conditions as hamiltonian constraints. It seems that this proposal is quite general and should…

High Energy Physics - Theory · Physics 2009-10-31 Maxim Zabzine

There has been increasing interest in methodologies that incorporate physics priors into neural network architectures to enhance their modeling capabilities. A family of these methodologies that has gained traction are Hamiltonian neural…

Classical Physics · Physics 2024-12-05 Ignacio Puiggros T. , A. Srikantha Phani

The purpose of this paper is to study in detail the constraint structure of the Hamiltonian and symplectic-Lagrangian descriptions for the scalar and electromagnetic fields in the presence of spatial boundaries. We carefully discuss the…

Mathematical Physics · Physics 2014-02-11 J. Fernando Barbero G. , Jorge Prieto , Eduardo J. S. Villaseñor

We use the Riccati equation method with other ones to establish new oscillation and interval oscillation criteria for linear matrix Hamiltonian systems. We investigate the oscillation problem for linear matrix Hamiltonian systems in a new…

Classical Analysis and ODEs · Mathematics 2022-01-13 G. A. Grigorian

Using the Magri method one defines an involutive family of Hamiltonians on Banach Lie-Poisson space iR+UL_res^1 (which contains the restricted Grassmannian as a symplectic leaf) and on its complexification C+L_res^1. The hierarchy of…

Mathematical Physics · Physics 2010-09-01 Tomasz Golinski , Anatol Odzijewicz

In this paper, we develop the theoretical foundations of discrete Dirac mechanics, that is, discrete mechanics of degenerate Lagrangian/Hamiltonian systems with constraints. We first construct discrete analogues of Tulczyjew's triple and…

Symplectic Geometry · Mathematics 2015-02-13 Melvin Leok , Tomoki Ohsawa

The geometric formulation of Hamilton--Jacobi theory for systems with nonholonomic constraints is developed, following the ideas of the authors in previous papers. The relation between the solutions of the Hamilton--Jacobi problem with the…

Mathematical Physics · Physics 2015-12-15 J. F. Cariñena , X. Gracia , G. Marmo , E. Martinez , M. C. Muñoz-Lecanda , N. Roman-Roy

The minimal Hamiltonian for a family of relativistic rotators is constructed by a direct application of the Dirac procedure for constrained systems. The Hamiltonian equations can be easily solved. It is found that the resulting motion is…

Mathematical Physics · Physics 2012-01-17 Łukasz Bratek

Self-consistent Hamiltonian formulation of scalar theory on the null plane is constructed following Dirac method. The theory contains also {\it constraint equations}. They would give, if solved, to a nonlinear and nonlocal Hamiltonian. The…

High Energy Physics - Theory · Physics 2010-11-01 Prem P. Srivastava

A method to construct Hamiltonian theories for systems of both ordinary and partial differential equations is presented. The knowledge of a Lagrangian is not at all necessary to achieve the result. The only ingredients required for the…

High Energy Physics - Theory · Physics 2007-05-23 Sergio A. Hojman

In this paper we consider finite-dimensional constrained Hamiltonian systems of polynomial type. In order to compute the complete set of constraints and separate them into the first and second classes we apply the modern algorithmic methods…

Numerical Analysis · Mathematics 2025-10-20 Vladimir P. Gerdt , Soso A. Gogilidze

A nonholonomic system consists of a configuration space Q, a Lagrangian L, and an nonintegrable constraint distribution H, with dynamics governed by Lagrange-d'Alembert's principle. We present two studies both using adapted moving frames.…

Mathematical Physics · Physics 2014-03-13 Kurt Ehlers , Jair Koiller , Richard Montgomery , Pedro M. Rios

In this paper we discuss singular Lagrangian systems on the framework of contact geometry. These systems exhibit a dissipative behavior in contrast with the symplectic scenario. We develop a constraint algorithm similar to the presymplectic…

Mathematical Physics · Physics 2019-11-14 Manuel de León , Manuel Lainz Valcázar

Hamiltonian mechanics is an effective tool to represent many physical processes with concise yet well-generalized mathematical expressions. A well-modeled Hamiltonian makes it easy for researchers to analyze and forecast many related…

Machine Learning · Computer Science 2021-02-24 Seungjun Lee , Haesang Yang , Woojae Seong
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