Self-consistent chaotic transport in a high-dimensional mean-field Hamiltonian map model
D. Mart\'inez-del-R\'io, D. del-Castillo-Negrete, A. Olvera, R., Calleja

TL;DR
This paper investigates self-consistent chaotic transport in a high-dimensional Hamiltonian mean-field model, revealing the formation of coherent structures and the role of periodic orbits in transport mechanisms.
Contribution
It introduces a novel high-dimensional mean-field map model with dynamical perturbation variables and analyzes the impact of periodic orbits on chaotic transport.
Findings
Self-consistency induces a macro-particle trapped around an elliptic fixed point.
A non-autonomous map models the asymptotic state and onset of global transport.
Sequential periodic orbits can be generated and continued from low-dimensional orbits.
Abstract
Self-consistent chaotic transport is studied in a Hamiltonian mean-field model. The model provides a simplified description of transport in marginally stable systems including vorticity mixing in strong shear flows and electron dynamics in plasmas. Self-consistency is incorporated through a mean-field that couples all the degrees-of-freedom. The model is formulated as a large set of coupled standard-like area-preserving twist maps in which the amplitude and phase of the perturbation, rather than being constant like in the standard map, are dynamical variables. Of particular interest is the study of the impact of periodic orbits on the chaotic transport and coherent structures. Numerical simulations show that self-consistency leads to the formation of a coherent macro-particle trapped around the elliptic fixed point of the system that appears together with an asymptotic periodic…
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