Abstract
Qualitative analytic estimates of the stochasticity limit of one- and many-dimensional nonlinear oscillating systems are derived using the overlapping of first-order resonances as a criterion for stochasticity. Computational results obtained with several very simple transformations are compared with the analytic estimates. Numerical studies significantly below the stochasticity limit of a many-dimensional nonlinear system reveal an example of a very slow instability, the first, to the best of our knowledge.
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Chirikov, B.V., Keil, E. & Sessler, A.M. Stochasticity in many-dimensional nonlinear oscillating systems. J Stat Phys 3, 307–321 (1971). https://doi.org/10.1007/BF01011386
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DOI: https://doi.org/10.1007/BF01011386