Generalized \(\varphi \)-Pullback Attractors for Evolution Processes and Application to a Nonautonomous Wave Equation

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED
Matheus C. Bortolan, Tomás Caraballo, Carlos Pecorari Neto
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引用次数: 0

Abstract

In this work we define the generalized \(\varphi \)-pullback attractors for evolution processes in complete metric spaces, which are compact and positively invariant families, that pullback attract bounded sets with a rate determined by a decreasing function \(\varphi \) that vanishes at infinity, called decay function. We find conditions under which a given evolution process has a generalized \(\varphi \)-pullback attractor, both in the discrete and in the continuous cases. We present a result for the special case of generalized polynomial pullback attractors, and apply it to obtain such an object for a nonautonomous wave equation.

演化过程的广义 $$\varphi $$-Pullback 吸引子及其在非自治波方程中的应用
在这项工作中,我们定义了完全度量空间中演化过程的广义\(\varphi \)-回拉吸引子,它们是紧凑的正不变族,回拉吸引有界集的速率由在无限远处消失的递减函数\(\varphi \)决定,该函数称为衰减函数。我们发现,在离散和连续情况下,给定的演化过程都有一个广义的 \(\varphi \)-回拉吸引子。我们提出了广义多项式回拉吸引子特例的一个结果,并将其应用于非自治波方程,以获得这样一个对象。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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