具有延迟和局部积分条件的多频系统的平均

Ya. I. Bihun, I. Skutar
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引用次数: 0

摘要

在R.I. Arnold、yeo等人的著作中,利用平均法研究了微分方程的多频系统。Grebenikov Yu.O。Mitropolsky,点Samoilenkoand和许多其他科学家。这类系统研究的复杂性在于其固有的共振现象,这些共振现象存在于合理的完全或几乎完全可通约性频率中。因此,在一般情况下,快速变量平均方程组的解可能会偏离精确问题的解,偏离量为O(1)。A.M.提出了基于相应的振荡积分估计来研究这类方程组的方法Samoilenko,这使得a.m.。Samoilenko和R.I. Petryshyn在具有初始、边界和积分条件的多频系统中得到了一些重要的结果。对于具有参数延迟的多频系统,yaa . y .的工作证实了平均方法。Bihun, R.I. Petryshyn, I.V. Krasnokutska和其他作者。本文用平均法研究了具有任意n个线性变换参数的多频系统在慢变量和快变量上的可解性,以及在方程组的区间[0,L]部分上的快变量和慢变量的积分条件。得到了叠加条件下平均方法误差的未改进估计,这显然取决于小参数和快速变量中线性变换参数的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AVERAGING IN MULTIFREQUENCY SYSTEMS WITH DELAY AND LOCAL INTEGRAL CONDITIONS
Multifrequency systems of dierential equations were studied with the help of averaging method in the works by R.I. Arnold, Ye.O. Grebenikov, Yu.O. Mitropolsky, A.M. Samoilenko and many other scientists. The complexity of the study of such systems is their inherent resonant phenomena, which consist in the rational complete or almost complete commensurability of frequencies. As a result, the solution of the system of equations averaged over fast variables in the general case may deviate from the solution of the exact problem by the quantity O (1). The approach to the study of such systems, which was based on the estimation of the corresponding oscillating integrals, was proposed by A.M. Samoilenko, which allowed to obtain in the works by A.M. Samoilenko and R.I. Petryshyn a number of important results for multifrequency systems with initial , boundary and integral conditions. For multifrequency systems with an argument delay, the averaging method is substantiated in the works by Ya.Y. Bihun, R.I. Petryshyn, I.V. Krasnokutska and other authors. In this paper, the averaging method is used to study the solvability of a multifrequency system with an arbitrary nite number of linearly transformed arguments in slow and fast variables and integral conditions for slow and fast variables on parts of the interval [0, L] of the system of equations. An unimproved estimate of the error of the averaging method under the superimposed conditions is obtained, which clearly depends on the small parameter and the number of linearly transformed arguments in fast variables.
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