Abstract

We consider the computational implementation of the algorithm for Lyapunov exponents spectrum numerical estimation for delay differential equations. It is known that for such systems, as well as for boundary value problems, it is not possible to prove the well-known Oseledets theorem which allows us to calculate the required parameters very efficiently. Therefore, we can only talk about the estimates of the characteristics in some sense close to the Lyapunov exponents. In this paper, we propose two methods of linearized systems solutions processing. One of them is based on a set of impulse functions, and the other is based on a set of trigonometric functions. We show the usage flexibility of these algorithms in the case of quasi-stable structures when several Lyapunov exponents are close to zero. The developed methods are tested on a logistic equation with a delay, and these tests illustrate the “proximity” of the obtained numerical characteristics and Lyapunov exponents.

Highlights

  • In this paper, we propose two methods of linearized systems solutions processing

  • We show the usage flexibility of these algorithms in the case of quasi-stable structures when several Lyapunov exponents are close to zero

  • При увеличении количества вычисляемых показателей Ляпунова K и числа точек разбиения M , а также размерности исследуемой системы N становится эффективным применение многопроцессорных параллельных систем

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Summary

Introduction

Особенности вычислительной реализации алгоритма оценки ляпуновских показателей систем с запаздыванием Рассматривается вычислительная реализация алгоритма оценки спектра показателей Ляпунова для систем дифференциальных уравнений с запаздывающими аргументами. Рассматривается расширение стандартного алгоритма [1] вычисления нескольких первых показателей Ляпунова для систем дифференциальных уравнений с запаздывающими аргументами.

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