
arXiv: 1408.1897
Ergodicity of random dynamical systems with a periodic measure is obtained on a Polish space. In the Markovian case, the idea of Poincaré sections is introduced. It is proved that if the periodic measure is PS-ergodic, then it is ergodic. Moreover, if the infinitesimal generator of the Markov semigroup only has equally placed simple eigenvalues including $0$ on the imaginary axis, then the periodic measure is PS-ergodic and has positive minimum period. Conversely if the periodic measure with the positive minimum period is PS-mixing, then the infinitesimal generator only has equally placed simple eigenvalues (infinitely many) including $0$ on the imaginary axis. Moreover, under the spectral gap condition, PS-mixing of the periodic measure is proved. The ``equivalence" of random periodic processes and periodic measures is established. This is a new class of ergodic random processes. Random periodic paths of stochastic perturbation of the periodic motion of an ODE is obtained.
38 pages
Ergodic theorems, spectral theory, Markov operators, invariant measures, random periodic processes, periodic measures, Probability (math.PR), Markov semigroup, Applications of stochastic analysis (to PDEs, etc.), General theory of random and stochastic dynamical systems, spectrum, 515, Stationary stochastic processes, FOS: Mathematics, ergodicity, Mathematics - Probability
Ergodic theorems, spectral theory, Markov operators, invariant measures, random periodic processes, periodic measures, Probability (math.PR), Markov semigroup, Applications of stochastic analysis (to PDEs, etc.), General theory of random and stochastic dynamical systems, spectrum, 515, Stationary stochastic processes, FOS: Mathematics, ergodicity, Mathematics - Probability
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