A note on the three versions of distributional chaos
β Scribed by Risong Li
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 200 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1007-5704
No coin nor oath required. For personal study only.
β¦ Synopsis
The concept of distributional chaos was introduced by Schweizer et al. [Schweizer B, Sklar A, SmΓtal J. Measures of chaos and a spectral decomposition of dynamical systems on the interval. Tran Amer Math Soc 1994;344:737-854.] for a continuous selfmap on an interval. However, it turns out that, for a continuous selfmap on a compact metric space, three mutually nonequivalent versions of distributional chaos, DC1-DC3, can be discussed. In this paper, we consider a continuous map f : X ? X, where X is a compact metric space, and show that DC1 (resp. DC2) is an iteration invariant, that is, for any integer N > 0, f is DC1 (resp. DC2) if and only if f N is also DC1(resp. DC2). As applications, we show that the following statements hold:
(1) Let G be a graph and f : G ? G a continuous map. Then f is DC1 if and only if f is DC2.
(2) For a continuous selfmap f on a tree T, these three versions of distributional chaos, DC1 Γ DC3 are mutually equivalent.
Furthermore, we present two examples which show that DC3 may be an iteration invariant. We will also discuss and partly solve the problem.
π SIMILAR VOLUMES
We prove that Linnik distributions are geometrically infinitely divisible, and clarify a characterization theorem for Linnik distributions concerning the stability of geometric summation. An explicit expression for absolute moments of Linnik distributions is also given.
The paper by Varghese et al. [Varghese P, Braswell RN, Wang B, Zhang C. Statistical tolerance analysis using FRPDF and numerical convolution. Computer Aided Design 1996;28:723-32] provided a novel approach for statistical tolerance analysis. This required convolution of the FRPDF distribution and th