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Robust and Nonrobust Dynamical Systems: Classification of Attractor Types

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Abstract

We consider a class of autonomous continuous-time dynamical systems with phase space dimension N ≥ 3. Besides robust systems similar to Andronov–Pontryagin systems on the plane, there appears a class of robust systems with nontrivial hyperbolicity, i.e., systems with chaotic dynamics. Chaotic attractors of robust hyperbolic systems are, in the rigorous mathematical sense, strange attractors. They usually represent some mathematical idealization and are not as a rule observed in experiments. In most cases systems with irregular dynamics are nonrobust. Mathematicians have proven that robust hyperbolic systems are not everywhere dense on the set of dynamical systems with N ≥ 3. Structural instability (nonrobustness) is associated with the emergence of nonrobust double-asymptotic trajectories, such as separatrix loops, homoclinic curves, and heteroclinic curves, which are formed when manifolds of saddle cycles and another saddle sets intersect non-transversally.

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Notes

  1. 1.

    The nonwandering set of a DS is the set of all nonwandering points in phase space. A point is nonwandering if, for any specified time interval θ, under the action of the evolution operator, any neighborhood of this point crosses its original position in a time τ > θ. Points of limit sets are nonwandering. However, the notion of nonwandering sets, unlike limit sets, is applicable to conservative systems. It should also be noted that the notion of a nonwandering point is somewhat different from the notion of a point that is stable according to Poisson. Obviously, Poisson-stable points are nonwandering, but the converse statement is not always true. For example, separatrix loops in the plane consist of nonwandering points but double-asymptotic trajectories that are components of them are not Poisson-stable.

  2. 2.

    This implies that periodic trajectories are everywhere dense in Ω.

  3. 3.

    See, for example, Kuznetsov [12].

  4. 4.

    Due to certain specifics of the calculation algorithm, the probability is set to zero if the phase trajectory has no unstable manifold.

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Anishchenko, V.S., Vadivasova, T.E., Strelkova, G.I. (2014). Robust and Nonrobust Dynamical Systems: Classification of Attractor Types. In: Deterministic Nonlinear Systems. Springer Series in Synergetics. Springer, Cham. https://doi.org/10.1007/978-3-319-06871-8_8

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