Stochastic sensitivity analysis of noise-induced intermittency and transition to chaos in one-dimensional discrete-time systems
Irina Bashkirtseva and
Lev Ryashko
Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 2, 295-306
Abstract:
We study a phenomenon of noise-induced intermittency for the stochastically forced one-dimensional discrete-time system near tangent bifurcation. In a subcritical zone, where the deterministic system has a single stable equilibrium, even small noises generate large-amplitude chaotic oscillations and intermittency. We show that this phenomenon can be explained by a high stochastic sensitivity of this equilibrium. For the analysis of this system, we suggest a constructive method based on stochastic sensitivity functions and confidence intervals technique. An explicit formula for the value of the noise intensity threshold corresponding to the onset of noise-induced intermittency is found. On the basis of our approach, a parametrical diagram of different stochastic regimes of intermittency and asymptotics are given.
Keywords: Intermittency; Noise-induced chaos; Stochastic sensitivity function; Tangent bifurcation (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:2:p:295-306
DOI: 10.1016/j.physa.2012.09.001
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