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Polynomial Stochastic Dynamical Indicators

Mathematical Physics 2023-08-16 v1 Computational Engineering, Finance, and Science math.MP Probability

Abstract

This paper introduces three types of dynamical indicators that capture the effect of uncertainty on the time evolution of dynamical systems. Two indicators are derived from the definition of Finite Time Lyapunov Exponents while a third indicator directly exploits the property of the polynomial expansion of the dynamics with respect to the uncertain quantities. The paper presents the derivation of the indicators and a number of numerical experiments that illustrates the use of these indicators to depict a cartography of the phase space under parametric uncertainty and to identify robust initial conditions and regions of practical stability in the restricted three-body problem.

Keywords

Cite

@article{arxiv.2308.07518,
  title  = {Polynomial Stochastic Dynamical Indicators},
  author = {Massimiliano Vasile and Matteo Manzi},
  journal= {arXiv preprint arXiv:2308.07518},
  year   = {2023}
}

Comments

42 pages, 20 figures

R2 v1 2026-06-28T11:55:41.715Z