Research article

A novel quantity for identifying the repelling structures of continuous dynamical systems

  • Received: 11 August 2020 Accepted: 14 January 2021 Published: 19 January 2021
  • MSC : 37A25, 37M25, 76M27

  • We propose a new quantity to study complicated dynamical systems based on the repelling behaviors of particle trajectories throughout the whole time interval under consideration. Since this proposed quantity measures the averaged repelling rate along each particle trajectory against nearby trajectories, we name the quantity the Lagrangian Averaged Repelling Rate (LARR). The LARR is shown to be objective, i.e. unchanged under time-dependent rotations and translations of the coordinate frame. We also compare the proposed LARR with the commonly used concept called the finite time Lyapunov exponent (FTLE), the latter also measures the separation behaviors of particles but only cares about the initial and terminal states of them. An efficient Eulerian algorithm is also proposed to compute the LARR. Numerical examples illustrate the effectiveness of the LARR in measuring the repelling properties of particle trajectories and also the difference between the proposed LARR and the traditional FTLE.

    Citation: Guoqiao You. A novel quantity for identifying the repelling structures of continuous dynamical systems[J]. AIMS Mathematics, 2021, 6(4): 3378-3392. doi: 10.3934/math.2021202

    Related Papers:

  • We propose a new quantity to study complicated dynamical systems based on the repelling behaviors of particle trajectories throughout the whole time interval under consideration. Since this proposed quantity measures the averaged repelling rate along each particle trajectory against nearby trajectories, we name the quantity the Lagrangian Averaged Repelling Rate (LARR). The LARR is shown to be objective, i.e. unchanged under time-dependent rotations and translations of the coordinate frame. We also compare the proposed LARR with the commonly used concept called the finite time Lyapunov exponent (FTLE), the latter also measures the separation behaviors of particles but only cares about the initial and terminal states of them. An efficient Eulerian algorithm is also proposed to compute the LARR. Numerical examples illustrate the effectiveness of the LARR in measuring the repelling properties of particle trajectories and also the difference between the proposed LARR and the traditional FTLE.


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