Polynomial stochastic dynamical indicators

Massimiliano Vasile, Matteo Manzi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
25 Downloads (Pure)

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.
Original languageEnglish
Article number4
Number of pages35
JournalCelestial Mechanics and Dynamical Astronomy
Volume135
Issue number1
DOIs
Publication statusPublished - 24 Jan 2023

Keywords

  • uncertainty quantification
  • polynomial chaos expansion
  • finite-time Lyapunov exponent
  • random walks
  • anomalous diffusion

Fingerprint

Dive into the research topics of 'Polynomial stochastic dynamical indicators'. Together they form a unique fingerprint.

Cite this