Intrinsic versus numerical chaos in discrete models associated to continuous dynamical systems
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CONSTANTINESCU, Dana. Intrinsic versus numerical chaos in discrete models associated to continuous dynamical systems. In: Conference on Applied and Industrial Mathematics: CAIM 2017, 14-17 septembrie 2017, Iași. Chișinău: Casa Editorial-Poligrafică „Bons Offices”, 2017, Ediţia 25, pp. 15-16. ISBN 978-9975-76-247-2.
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Conference on Applied and Industrial Mathematics
Ediţia 25, 2017
Conferința "Conference on Applied and Industrial Mathematics"
Iași, Romania, 14-17 septembrie 2017

Intrinsic versus numerical chaos in discrete models associated to continuous dynamical systems


Pag. 15-16

Constantinescu Dana
 
University of Craiova
 
 
Disponibil în IBN: 22 septembrie 2022


Rezumat

A widespread technique in the study of continuous systems is their association with discrete systems. This happens, for example, when numerical methods are used to integrate the di erential equations describing the continuous system or when the Poincare map is considered for discretization. In this procedure, the analogy of the dynamic properties of the two systems is crucial. For classical numerical methods, this means to use a small enough integration step but the problem is more complicated for Poincare maps. In this paper we point out some problems that occur in the study of Poincare models associated with Hamiltonian systems with 3/2 degrees fo freedom. These models are obtained using a symmetric mapping technique, which is a classical method in the study of Hamiltonian systems. It is observed that some orbits are chaotic or not, depending on the mapping step. A local criterion for determining the optimal mapping step for the preservation of the dynamical characteristics (regular or chaotic) of an orbit is proposed. A global criterion is also derived. These criteria are applied for the study of a Hamiltonian system modeling the magnetic eld con guration in tokamak.