Effective intermittency and cross-correlations in the Standard Map
Georgios Datseris, Fotis K. Diakonos, Peter Schmelcher

TL;DR
This paper introduces correlation functions to analyze dynamical behaviors in the Standard Map, revealing long-range cross-correlations linked to intermittent dynamics and phase space structures for certain parameter ranges.
Contribution
It demonstrates the emergence of long-range cross-correlations in the Standard Map due to intermittent dynamics, extending previous findings from one-dimensional maps to two-dimensional Hamiltonian systems.
Findings
Long-range cross-correlations appear for 0.6 < k ≤ 1.2.
Intermittent dynamics in phase space regions cause these correlations.
Correlation emergence relates to local and transition to global chaos.
Abstract
We define auto- and cross-correlation functions capable to capture dynamical characteristics induced by local phase space structures in a general dynamical system. These correlation functions are calculated in the Standard Map for a range of values of the non-linearity parameter . Using a model of non-interacting particles, each evolving according to the same Standard Map dynamics and located initially at specific phase space regions, we show that for long-range cross-correlations emerge. They occur as an ensemble property of particle trajectories by an appropriate choice of the phase space cells used in the statistical averaging. In this region of -values the single particle phase space is either dominated by local chaos ( with ) or it is characterized by the transition from local to global chaos (). Introducing…
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