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Optimal phase description of chaotic oscillators
Phys. Rev. E 85, 026216 – Published 27 February, 2012
DOI: https://doi.org/10.1103/PhysRevE.85.026216
Abstract
We introduce an optimal phase description of chaotic oscillations by generalizing the concept of isochrones. On chaotic attractors possessing a general phase description, we define the optimal isophases as Poincaré surfaces showing return times as constant as possible. The dynamics of the resultant optimal phase is maximally decoupled from the amplitude dynamics and provides a proper description of the phase response of chaotic oscillations. The method is illustrated with the Rössler and Lorenz systems.
Article Text
References (25)
- Y. Kuramoto, Chemical Oscillations, Waves and Turbulence (Springer, Berlin, 1984).
- A. Pikovsky, M. Rosenblum, and J. Kurths, Synchronization: A Universal Concept in Nonlinear Sciences (Cambridge University Press, Cambridge, 2001).
- E. M. Izhikevich, Dynamical Systems in Neuroscience (MIT Press, Cambridge, MA, 2007).
- J. Guckenheimer, J. Math. Biol. 1, 259 (1975).
- A. T. Winfree, The Geometry of Biological Time (Springer, Berlin, 1980).
- J. D. Farmer, Phys. Rev. Lett. 47, 179 (1981).
- A. S. Pikovsky, Radiophys. Quantum Electr. 29, 1076 (1986).
- A. S. Pikovsky, Sov. J. Commun. Technol. Electron. 30, 85 (1985).
- E. F. Stone, Phys. Lett. A 163, 367 (1992).
- M. G. Rosenblum, A. S. Pikovsky, and J. Kurths, Phys. Rev. Lett. 76, 1804 (1996).
- M. G. Rosenblum, A. S. Pikovsky, and J. Kurths, Phys. Rev. Lett. 78, 4193 (1997).
- K. Josić and D. J. Mar, Phys. Rev. E 64, 056234 (2001).
- O. E. Rössler, Phys. Lett. A 57, 397 (1976).
- One obtains such a coincidence for quasiperiodic regimes, where a smooth Poincaré section can be chosen as a stroboscopic map with one of the basic periods.
- H. Kantz and T. Schreiber, Nonlinear Time Series Analysis, 2nd ed. (Cambridge University Press, Cambridge, 2004).
- M. Rosenblum, A. Pikovsky, and J. Kurths, in Past and Present Variability of the Solar-Terrestrial System: Measurement, Data Analysis and Theoretical Models, Proceedings of the International School of Physics “Enrico Fermi,” Vol. 133 (IOS Press, Amsterdam, 1997), pp. 263–274.
- W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C, 2nd ed. (Cambridge University Press, Cambridge, 2002).
- B. Kralemann, Ph.D. thesis, Potsdam University, 2010.
- J. T. C. Schwabedal and A. Pikovsky, Phys. Rev. E 81, 046218 (2010).
- T. F. Fairgrieve and A. D. Jepson, SIAM J. Numer. Anal. 28, 1446 (1991).
- A. Pikovsky, M. Rosenblum, G. Osipov, and J. Kurths, Phys. D 104, 219 (1997).
- T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning (Springer, New York, 2001).
- K. Yoshimura and K. Arai, Phys. Rev. Lett. 101, 154101 (2008).
- J.-N. Teramae, H. Nakao, and G. B. Ermentrout, Phys. Rev. Lett. 102, 194102 (2009).
- D. S. Goldobin, J.-N. Teramae, H. Nakao, and G. B. Ermentrout, Phys. Rev. Lett. 105, 154101 (2010).