Canards Oscillations, Noise-Induced Splitting of Cycles and Transition to Chaos in Thermochemical Kinetics
Irina Bashkirtseva (),
Grigoriy Ivanenko,
Dmitrii Mordovskikh and
Lev Ryashko
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Irina Bashkirtseva: Institute of Natural Sciences and Mathematics, Ural Federal University, Lenina 51, 620000 Ekaterinburg, Russia
Grigoriy Ivanenko: Institute of Natural Sciences and Mathematics, Ural Federal University, Lenina 51, 620000 Ekaterinburg, Russia
Dmitrii Mordovskikh: Institute of Natural Sciences and Mathematics, Ural Federal University, Lenina 51, 620000 Ekaterinburg, Russia
Lev Ryashko: Institute of Natural Sciences and Mathematics, Ural Federal University, Lenina 51, 620000 Ekaterinburg, Russia
Mathematics, 2023, vol. 11, issue 8, 1-9
Abstract:
We study how noise generates complex oscillatory regimes in the nonlinear thermochemical kinetics. In this study, the basic mathematical Zeldovich–Semenov model is used as a deterministic skeleton. We investigate the stochastic version of this model that takes into account multiplicative random fluctuations of temperature. In our study, we use direct numerical simulation of stochastic solutions with the subsequent statistical analysis of probability densities and Lyapunov exponents. In the parametric zone of Canard cycles, qualitative effects caused by random noise are identified and investigated. Stochastic P -bifurcations corresponding to noise-induced splitting of Canard oscillations are parametrically described. It is shown that such P -bifurcations are associated with splitting of both amplitudes and frequencies. Studying stochastic D -bifurcations, we localized the rather narrow parameter zone where transitions from order to chaos occur.
Keywords: thermochemical oscillations; Canard cycles; stochastic bifurcations; stochastic splitting; chaos (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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