具有可变转动惯量系数的随机高阶基尔霍夫模型的长时动力学

IF 1.4 Q2 MATHEMATICS, APPLIED
Penghui Lv , Yuxiao Cun , Guoguang Lin
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引用次数: 0

摘要

本文深入研究了具有可变系数转动惯量的非自治随机高阶基尔霍夫方程的随机渐近行为。该方程采用 Galerkin 方法求解,并在此基础上建立了一个随机动力系统。统一估计证明了随机动力系统 Φk 中的 Dk 吸收集族,并通过分解证明了 Φk 的渐近紧凑性。最后,获得了 Vm+k(Ω)×Vm+kb0(Ω) 中随机动力系统 Φk 的 Dk 随机吸引子族。这些结果改进并扩展了近期文献(Lv et al.)这些发现促进了非自治随机高阶基尔霍夫模型相关结论的发展,为其后续应用和研究提供了理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-time dynamics of a random higher-order Kirchhoff model with variable coefficient rotational inertia
This paper delves into the stochastic asymptotic behavior of a non-autonomous stochastic higher-order Kirchhoff equation with variable coefficient rotational inertia. The equation is solved using the Galerkin method, and a stochastic dynamical system is established on this basis. Uniform estimation demonstrates a family of Dkabsorbing sets in the stochastic dynamical system Φk, and the asymptotic compactness of Φk is proved via decomposition. Finally, the family of Dkrandom attractors is acquired for the stochastic dynamical system Φk in Vm+k(Ω)×Vm+kb0(Ω). These results improve and extend those in recent literature (Lv et al., 2021). The findings promote the relevant conclusions of the non-autonomous stochastic higher-order Kirchhoff model and provide a theoretical basis for its subsequent application and research.
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来源期刊
Results in Applied Mathematics
Results in Applied Mathematics Mathematics-Applied Mathematics
CiteScore
3.20
自引率
10.00%
发文量
50
审稿时长
23 days
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