### Abstract

The initial ensemble dependence of statistical laws in non-hyperbolic dynamical systems with infinite ergodicity are studied by use of the modified Bernoulli maps. We show that statistical laws crucially depend on the initial ensemble and that the time average for the Lyapunov exponent converges in distribution for the non-stationary regime. This is completely consistent with the Darling-Kac-Aaronson (DKA) limit theorem from the fact that the Lyapunov exponent is an L_{μ}
^{1}-class function. Next, we study the correlation function, which is not an L_{μ}
^{1}-class function. The most remarkable result is that the transformed correlation function also reveals uniform convergence in distribution in the same sense of the DKA limit theorem.

Original language | English |
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Pages (from-to) | 254-260 |

Number of pages | 7 |

Journal | Journal of the Korean Physical Society |

Volume | 50 |

Issue number | 1 I |

Publication status | Published - 2007 Jan |

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### Keywords

- Ergodic theory
- Non-stationary chaos

### ASJC Scopus subject areas

- Physics and Astronomy(all)

### Cite this

*Journal of the Korean Physical Society*,

*50*(1 I), 254-260.