English

Chaos in high-dimensional dynamical systems

Disordered Systems and Neural Networks 2017-02-07 v2 Chaotic Dynamics

Abstract

For general dissipative dynamical systems we study what fraction of solutions exhibit chaotic behavior depending on the dimensionality dd of the phase space. We find that a system of dd globally coupled ODE's with quadratic and cubic non-linearities with random coefficients and initial conditions, the probability of a trajectory to be chaotic increases universally from 105104\sim 10^{-5} - 10^{-4} for d=3d=3 to essentially one for d50d\sim 50. In the limit of large dd, the invariant measure of the dynamical systems exhibits universal scaling that depends on the degree of non-linearity but does not depend on the choice of coefficients, and the largest Lyapunov exponent converges to a universal scaling limit. Using statistical arguments, we provide analytical explanations for the observed scaling and for the probability of chaos.

Keywords

Cite

@article{arxiv.1410.6403,
  title  = {Chaos in high-dimensional dynamical systems},
  author = {Iaroslav Ispolatov and Michael Doebeli and Sebastian Allende and Vaibhav Madhok},
  journal= {arXiv preprint arXiv:1410.6403},
  year   = {2017}
}

Comments

5 pages, 3 figures

R2 v1 2026-06-22T06:34:16.146Z