Dynamical systems and Poisson structures
Metin Gürses, Gusein Sh. Guseinov, Kostyantyn Zheltukhin
Abstract
Open-access reader
Metin Gürses, Gusein Sh. Guseinov, Kostyantyn Zheltukhin
Abstract
Open-access reader
We first consider the Hamiltonian formulation of n=3 systems, in general, and show that all dynamical systems in R3 are locally bi-Hamiltonian. An algorithm is introduced to obtain Poisson structures of a given dynamical system. The construction of the Poisson structures is based on solving an associated first order linear partial differential equations. We find the Poisson structures of a dynamical system recently given by Bender et al. [J. Phys. A: Math. Theor. 40, F793 (2007)]. Secondly, we show that all dynamical systems in Rn are locally (n−1)-Hamiltonian. We give also an algorithm, similar to the case in R3, to construct a rank two Poisson structure of dynamical systems in Rn. We give a classification of the dynamical systems with respect to the invariant functions of the vector field X⃗ and show that all autonomous dynamical systems in Rn are superintegrable.
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We first consider the Hamiltonian formulation of n=3 systems, in general, and show that all dynamical systems in R3 are locally bi-Hamiltonian. An algorithm is introduced to obtain Poisson structures of a given dynamical system. The construction of the Poisson structures is based on solving an associated first order linear partial differential equations. We find the Poisson structures of a dynamical system recently given by Bender et al. [J. Phys. A: Math. Theor. 40, F793 (2007)]. Secondly, we show that all dynamical systems in Rn are locally (n−1)-Hamiltonian. We give also an algorithm, similar to the case in R3, to construct a rank two Poisson structure of dynamical systems in Rn. We give a classification of the dynamical systems with respect to the invariant functions of the vector field X⃗ and show that all autonomous dynamical systems in Rn are superintegrable.
Key concepts: Dynamical systems theory, Hamiltonian system, Projected dynamical system, Linear dynamical system, Mathematics, Poisson distribution, Measure-preserving dynamical system, Hamiltonian (control theory)