A comparison of correlation and Lyapunov dimensions

被引:61
作者
Chlouverakis, KE
Sprott, JC
机构
[1] Univ Essex, Dept Elect Syst Engn, Colchester CO4 3SQ, Essex, England
[2] Univ Wisconsin, Dept Phys, Madison, WI 53706 USA
基金
英国工程与自然科学研究理事会;
关键词
correlation dimension; Kaplan-Yorke dimension; Lyapunov exponents; three-dimensional chaotic flows;
D O I
10.1016/j.physd.2004.10.006
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper investigates the relation between the correlation (D-2) and the Kaplan-Yorke dimension (D-KY) of three-dimensional chaotic flows. Besides the Kaplan-Yorke dimension, a new Lyapunov dimension (D-Sigma), derived using a polynomial interpolation instead of a linear one, is compared with D-KY and D-2. Various systems from the literature are used in this analysis together with some special cases that span a range of dimension 2 < D-KY less than or equal to 3. A linear regression to the data produces a new fitted Lyapunov dimension of the form D-fit = alpha - betagimel(1)/gimel(3), where gimel(1) and gimel(3) are the largest and smallest Lyapunov exponents, respectively. This form correlates better with the correlation dimension D-2 than do either D-KY or D-Sigma. Additional forms of the fitted dimension are investigated to improve the fit to D-2, and the results are discussed and interpreted with respect to the Kaplan-Yorke conjecture. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:156 / 164
页数:9
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