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Kaplan–Yorke conjecture : ウィキペディア英語版
Kaplan–Yorke conjecture
In applied mathematics, the Kaplan–Yorke conjecture concerns the dimension of an attractor, using Lyapunov exponents.〔J. Kaplan and J. Yorke, "Chaotic behavior of multidimensional difference equations," in: Functional Differential Equations and the Approximation of Fixed Points, Lecture Notes in Mathematics, vol. 730, H.O. Peitgen and H.O. Walther, eds. (Springer, Berlin), p. 228.〕〔P. Frederickson, J. Kaplan, E. Yorke and J. Yorke, "The Lyapunov Dimension of Strange Attractors," J. Diff. Eqs. 49 (1983) 185.〕 By arranging the Lyapunov exponents in order from largest to smallest \lambda_1\geq\lambda_2\geq\dots\geq\lambda_n, let ''j'' be the index for which
: \sum_^j \lambda_i > 0
and
: \sum_^ \lambda_i < 0.
Then the conjecture is that the dimension of the attractor is
: D=j+\frac.
== Examples ==
Especially for chaotic systems, the Kaplan–Yorke conjecture is a useful tool in order to determine the fractal dimension of the corresponding attractor.〔A. Wolf, A. Swift, B. Jack, H. L. Swinney and J.A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica 16D, 1985, 16, pp. 285–317.〕
* The Hénon map with parameters ''a'' = 1.4 and ''b'' = 0.3 has the ordered Lyapunov exponents \lambda_1=0.603 and \lambda_2=-2.34. In this case, we find ''j'' = 1 and the dimension formula reduces to
:: D=j+\frac=1+\frac=1.26.
* The Lorenz system shows chaotic behavior at the parameter values \sigma=16, \rho=45.92 and \beta=4.0. The resulting Lyapunov exponents are . Noting that ''j'' = 2, we find
:: D=2+\frac=2.07.

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