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arXiv 0907.3790nlin.CDnlin.SI
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具有指定自然不变测度和李雅普诺夫指数的鲁棒混沌

Robust chaos with prescribed natural invariant measure and Lyapunov exponent

Juan M. Aguirregabiria

摘要:

我们在几个方面扩展了最近提出的方法来构建一维混沌映射与确切已知的自然不变测度[Sogo 1999,2009]。首先,我们假设给定的不变测度依赖于一个连续参数,并展示如何构造具有鲁棒混沌的映射-即,不被参数的任意微小变化破坏的混沌--以及规定的不变测度和恒定的李雅普诺夫指数。然后,通过放宽一个条件的方法参考。\cite{Sogo1,Sogo2}的基础上,提出了一种构造具有恒定不变测度和变李雅普诺夫指数的鲁棒混沌的方法.参考文献中条件的另一个扩展。[Sogo 1999,2009]提供了一种新的方法来获得已知变化李雅普诺夫指数的鲁棒混沌。在第三种方法中,在许多特定情况下可以精确地计算不变测度。最后讨论了如何利用自同态构造具有鲁棒混沌、任意参数和指定不变测度及李雅普诺夫指数的映射。

英文摘要:

We extend in several ways a recently proposed method to construct one-dimensional chaotic maps with exactly known natural invariant measure [Sogo 1999, 2009]. First, we assume that the given invariant measure depends on a continuous parameter and show how to construct maps with robust chaos --i.e., chaos that is not destroyed by arbitrarily small changes of the parameter-- and prescribed invariant measure and constant Lyapunov exponent. Then, by relaxing one condition in the approach of Refs. \cite{Sogo1,Sogo2}, we describe a method to construct robust chaos with prescribed constant invariant measure and varying Lyapunov exponent. Another extension of a condition in Refs. [Sogo 1999, 2009] provides a new method to get robust chaos with known varying Lyapunov exponent. In this third approach the invariant measure can be computed exactly in many particular cases. Finally we discuss how to use diffeomorphisms to construct maps with robust chaos, any number of parameters and prescribed invariant measure and Lyapunov exponent.

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