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Related papers: Stochastic Hamiltonian dynamical systems

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This paper presents a "historical" formalism for dynamical systems, in its Hamiltonian version (Lagrangian version was presented in a previous paper). It is universal, in the sense that it applies equally well to time dynamics and to field…

Mathematical Physics · Physics 2016-02-24 M Lachieze-Rey

The existence of the theory of `twisted cotangent bundles' (symplectic groupoids) allows to study classical mechanical systems which are generalized in the sense that their configurations form a Poisson manifold. It is natural to study from…

dg-ga · Mathematics 2008-02-03 S. Zakrzewski

Connecting ideas of geometric formulation of quantum mechanics with new results in symplectic geometry a new approach to geometrical quantization procedure is proposed. As a first result we verify that the correspondence between "classical"…

Differential Geometry · Mathematics 2007-05-23 N. Tyurin

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

Stochastic Hall-magnetohydrodynamics equations on ${\mathbb{R}}^{3}$ with random forces expressed in terms of the time homogeneous Poisson random measures are considered. We prove the existence of a global martingale solution. The…

Probability · Mathematics 2022-11-16 Elżbieta Motyl

In this work we introduce contact Hamiltonian mechanics, an extension of symplectic Hamiltonian mechanics, and show that it is a natural candidate for a geometric description of non-dissipative and dissipative systems. For this purpose we…

Mathematical Physics · Physics 2017-03-08 Alessandro Bravetti , Hans Cruz , Diego Tapias

We generalize Taylor's theorem by introducing a stochastic formulation based on an underlying Poisson point process model. We utilize this approach to propose a novel non-linear regression framework and perform statistical inference of the…

Methodology · Statistics 2025-08-07 Weichao Wu , Athanasios C. Micheas

We propose random non-Hermitian Hamiltonians to model the generic stochastic nonlinear dynamics of a quantum state in Hilbert space. Our approach features an underlying linearity in the dynamical equations, ensuring the applicability of…

Quantum Physics · Physics 2025-07-31 Pei Wang

The canonical Hamiltonian $H_C$ of the metric General Relativity is reduced to its natural form. The natural form of canonical Hamiltonian provides numerous advantages in actual applications to the metric GR, since the general theory of…

General Relativity and Quantum Cosmology · Physics 2020-01-14 Alexei M. Frolov

The theory of discrete stochastic systems has been initiated by the work of Shannon and von Neumann. While Shannon has considered memory-less communication channels and their generalization by introducing states, von Neumann has studied the…

Formal Languages and Automata Theory · Computer Science 2021-03-29 Merve Nur Cakir , Mehwish Saleemi , Karl-Heinz Zimmermann

A great number of works is devoted to qualitative investigation of Hamiltonian systems. One of tools of such investigation is the method of skew-symmetric differential forms. In present work, under investigation Hamiltonian systems in…

Mathematical Physics · Physics 2007-05-23 L. I. Petrova

We propose a generalization of hamiltonian mechanics, as a hamiltonian inclusion with convex dissipation function. We obtain a dynamical version of the approach of Mielke to quasistatic rate-independent processes. Then we show that a class…

Functional Analysis · Mathematics 2019-02-18 Marius Buliga

Markov Chain Monte Carlo methods have revolutionised mathematical computation and enabled statistical inference within many previously intractable models. In this context, Hamiltonian dynamics have been proposed as an efficient way of…

Computation · Statistics 2017-05-09 Alessandro Barp , Francois-Xavier Briol , Anthony D. Kennedy , Mark Girolami

A stochastic differential equation with coefficients defined in a scale of Hilbert spaces is considered. The existence, uniqueness and path-continuity of infinite-time solutions is proved by an extension of the Ovsyannikov method. This…

Functional Analysis · Mathematics 2021-10-26 Georgy Chargaziya , Alexei Daletskii

Recently, variational quantum metrology was proposed for Hamiltonians with multiplicative parameters, wherein the estimation precision can be optimized via variational circuits. However, systems with generic Hamiltonians still lack these…

Quantum Physics · Physics 2023-09-25 Le Bin Ho

This article presents an innovative approach to integrating port-Hamiltonian systems with neural network architectures, transitioning from deterministic to stochastic models. The study presents novel mathematical formulations and…

Dynamical Systems · Mathematics 2024-03-26 Luca Di Persio , Matthias Ehrhardt , Sofia Rizzotto

We propose a geometrical approach to the investigation of Hamiltonian systems on (Pseudo) Riemannian manifolds. A new geometrical criterion of instability and chaos is proposed. This approach is more generic than well known reduction to the…

Astrophysics · Physics 2007-05-23 A. A. Kocharyan

We construct a two dimensional nonlinear $\sigma$-model that describes the Hamiltonian flow in the loop space of a classical dynamical system. This model is obtained by equivariantizing the standard N=1 supersymmetric nonlinear…

High Energy Physics - Theory · Physics 2008-02-03 A. J. Niemi , K. Palo

This paper is devoted to the study of the Hamiltonian formulation of non-linear sigma models on supercoset targets. We calculate the Poisson brackets of left-invariant currents. Then we introduce the Hamiltonian of the system and determine…

High Energy Physics - Theory · Physics 2009-11-11 J. Kluson

The superiority of symplectic methods for stochastic Hamiltonian systems has been widely recognized, yet the probabilistic mechanism behind this superiority remains incompletely understood. This paper studies the superiority of symplectic…

Numerical Analysis · Mathematics 2025-05-29 Jialin Hong , Ge Liang , Derui Sheng