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 Dk−absorbing sets in the stochastic dynamical system Φk, and the asymptotic compactness of Φk is proved via decomposition. Finally, the family of Dk−random 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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Publication Details

Journal
Results in Applied Mathematics
Published
2024-09-28
DOI
https://doi.org/10.1016/j.rinam.2024.100498
Primary Topic
Stability and Controllability of Differential Equations
Type
article
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article

Long-time dynamics of a random higher-order Kirchhoff model with variable coefficient rotational inertia

Penghui Lv, Guoguang Lin, Yuxiao Cun
Results in Applied Mathematics
Stability and Controllability of Differential Equations
article

Long-time dynamics of a random higher-order Kirchhoff model with variable coefficient rotational inertia

Penghui Lv, Guoguang Lin, Yuxiao Cun
article en

Abstract

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 Dk−absorbing sets in the stochastic dynamical system Φk, and the asymptotic compactness of Φk is proved via decomposition. Finally, the family of Dk−random 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.

Results in Applied MathematicsVol. 24
Openalex Percentile: Top 82%
Stability and Controllability of Differential Equations
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