Convergence of linear solutions through convergence of periodic initial data

IF 1.2 3区 数学 Q1 MATHEMATICS
Harrison Gaebler , Wesley R. Perkins
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引用次数: 0

Abstract

When studying the stability of T-periodic solutions to partial differential equations, it is common to encounter subharmonic perturbations, i.e. perturbations which have a period that is an integer multiple (say n) of the background wave, and localized perturbations, i.e. perturbations that are integrable on the line. Formally, we expect solutions subjected to subharmonic perturbations to converge to solutions subjected to localized perturbations as n tends to infinity since larger n values force the subharmonic perturbation to become more localized. In this paper, we study the convergence of solutions to linear initial value problems when subjected to subharmonic and localized perturbations. In particular, we prove the formal intuition outlined above; namely, we prove that if the subharmonic initial data converges to some localized initial datum, then the linear solutions converge.
通过周期初始数据收敛的线性解的收敛
在研究偏微分方程的t周期解的稳定性时,经常会遇到次谐波扰动,即周期是背景波的整数倍(如n)的扰动,以及局域扰动,即在线上可积的扰动。形式上,我们期望当n趋于无穷时,受次谐波扰动的解收敛于受局部扰动的解,因为较大的n值迫使次谐波扰动变得更局部化。本文研究了线性初值问题在次调和和局域扰动下解的收敛性。特别地,我们证明了上面概述的形式直观;也就是说,我们证明了如果次调和初始数据收敛于某个局部初始数据,则线性解收敛。
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来源期刊
CiteScore
2.50
自引率
7.70%
发文量
790
审稿时长
6 months
期刊介绍: The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions. Papers are sought which employ one or more of the following areas of classical analysis: • Analytic number theory • Functional analysis and operator theory • Real and harmonic analysis • Complex analysis • Numerical analysis • Applied mathematics • Partial differential equations • Dynamical systems • Control and Optimization • Probability • Mathematical biology • Combinatorics • Mathematical physics.
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