Analytical Solutions of Systems of Linear Delay Differential Equations by the Laplace Transform: Featuring Limit Cycles

G. Kerr, Nehemiah Lopez, G. González-Parra
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Abstract

In this paper we develop an approach for obtaining the solutions to systems of linear retarded and neutral delay differential equations. Our analytical approach is based on the Laplace transform, inverse Laplace transform and the Cauchy residue theorem. The obtained solutions have the form of infinite non-harmonic Fourier series. The main advantage of the proposed approach is the closed-form of the solutions, which are capable of accurately evaluating the solution at any time. Moreover, it allows one to study the asymptotic behavior of the solutions. A remarkable discovery, which to the best of our knowledge has never been presented in the literature, is that there are some particular linear systems of both retarded and neutral delay differential equations for which the solution asymptotically approaches a limit cycle. The well-known method of steps in many cases is unable to obtain the asymptotic behavior of the solution and would most likely fail to detect such cycles. Examples illustrating the Laplace transform method for linear systems of DDEs are presented and discussed. These examples are designed to facilitate a discussion on how the spectral properties of the matrices determine the manner in which one proceeds and how they impact the behavior of the solution. Comparisons with the exact solution provided by the method of steps are presented. Finally, we should mention that the solutions generated by the Laplace transform are, in most instances, extremely accurate even when the truncated series is limited to only a handful of terms and in many cases become more accurate as the independent variable increases.
拉普拉斯变换线性延迟微分方程系统的分析解:以极限循环为特色
在本文中,我们开发了一种获取线性迟滞和中性延迟微分方程系统解的方法。我们的分析方法基于拉普拉斯变换、反拉普拉斯变换和考奇残差定理。得到的解具有无限非谐波傅里叶级数的形式。所提方法的主要优点是解的封闭形式,能够在任何时候精确地评估解。此外,它还允许研究解的渐近行为。一个据我们所知从未在文献中出现过的重大发现是,有一些特殊的迟滞和中性延迟微分方程线性系统的解渐近于极限循环。在许多情况下,众所周知的阶梯法无法获得解的渐近行为,很可能检测不到这种循环。本文举例说明了 DDE 线性系统的拉普拉斯变换方法,并对其进行了讨论。这些示例旨在促进讨论矩阵的频谱特性如何决定求解方式,以及它们如何影响求解行为。此外,还介绍了与阶跃法精确解的比较。最后,我们应该提到的是,在大多数情况下,即使截断数列只限于少数几个项,拉普拉斯变换所产生的解也是极其精确的,而且在许多情况下,随着自变量的增加而变得更加精确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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