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Features of the Computational Implementation of the Algorithm for Estimating the Lyapunov Exponents of Systems with Delay

机译:延迟系统李雅普诺夫指数估计算法的计算实现特点

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The computational implementation of the algorithm for estimating the spectrum of Lyapunov exponents for systems of differential equations with delayed arguments is considered. Taking into account that for such systems, as well as for boundary value problems, it is not possible to prove the well-known Oseledets theorem, which makes it possible to efficiently calculate the required values, we only have to talk about estimates of characteristic exponents, in a sense close to Lyapunov ones. In this paper, we propose two methods for processing solutions of systems linearized on an attractor, one of which is based on a set of impulse functions; the other one is based on a set of trigonometric functions. The flexibility of application of the indicated algorithms is demonstrated in the case of quasi-stable structures, when several Lyapunov exponents are close to zero. The developed methods are tested on the logistic equation with delay. The results illustrate the "closeness" of the estimated characteristics and Lyapunov exponents.
机译:考虑了用于估计具有延迟参数的微分方程组的李雅普诺夫指数谱的算法的计算实现。考虑到对于此类系统以及边界值问题,不可能证明众所周知的 Oseledets 定理,这使得有效计算所需值成为可能,我们只需要谈论特征指数的估计,在某种意义上接近李雅普诺夫指数。在本文中,我们提出了两种处理在吸引子上线性化的系统解的方法,其中一种基于一组脉冲函数;另一个基于一组三角函数。在准稳定结构的情况下,当几个李雅普诺夫指数接近于零时,证明了所指示算法应用的灵活性。所开发的方法在逻辑方程上进行了延迟测试。结果说明了估计特征和李雅普诺夫指数的“接近性”。

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