Journal
NONLINEARITY
Volume 33, Issue 9, Pages 4237-4276Publisher
IOP PUBLISHING LTD
DOI: 10.1088/1361-6544/ab86cd
Keywords
Lyapunov exponent; noise induced order; random dynamics; computer aided proof; quantitative statistical stability; interval arithmetics; Belousov-Zhabotinsky reaction
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Funding
- EU Marie-Curie IRSES `Brazilian-European partnership in Dynamical Systems' [FP7-PEOPLE-2012-IRSES 318999 BREUDS]
- Abdus Salam International Centre for Theoretical Physics (ICTP)
- CNPq
- University of Uppsala
- KAW [2013.0315]
- Leverhulm Trust [IN-2014-021]
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We prove the existence of noise induced order in the Matsumoto-Tsuda model, where it was originally discovered in 1983 by numerical simulations. This is a model of the famous Belousov-Zhabotinsky reaction, a chaotic chemical reaction, and consists of a one dimensional random dynamical system with additive noise. The simulations showed that an increase in amplitude of the noise causes the Lyapunov exponent to decrease from positive to negative; we give a mathematical proof of the existence of this transition. The method we use relies on some computer aided estimates providing a certified approximation of the system's stationary measure in theL(1)norm. This is realized by explicit functional analytic estimates working together with an efficient algorithm. The method is general enough to be adapted to any piecewise differentiable dynamical system on the unit interval with additive noise. We also prove that the stationary measure varies in a Lipschitz way if the system is perturbed and that the Lyapunov exponent of the system varies in a Holder way when the noise amplitude increases.
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