{"title":"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","authors":"Penghui Lv , Yuxiao Cun , Guoguang Lin","doi":"10.1016/j.rinam.2024.100498","DOIUrl":null,"url":null,"abstract":"<div><div>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 <span><math><mrow><msub><mrow><mi>D</mi></mrow><mrow><mi>k</mi></mrow></msub><mo>−</mo></mrow></math></span>absorbing sets in the stochastic dynamical system <span><math><msub><mrow><mi>Φ</mi></mrow><mrow><mi>k</mi></mrow></msub></math></span>, and the asymptotic compactness of <span><math><msub><mrow><mi>Φ</mi></mrow><mrow><mi>k</mi></mrow></msub></math></span> is proved via decomposition. Finally, the family of <span><math><mrow><msub><mrow><mi>D</mi></mrow><mrow><mi>k</mi></mrow></msub><mo>−</mo></mrow></math></span>random attractors is acquired for the stochastic dynamical system <span><math><msub><mrow><mi>Φ</mi></mrow><mrow><mi>k</mi></mrow></msub></math></span> in <span><math><mrow><msub><mrow><mi>V</mi></mrow><mrow><mi>m</mi><mo>+</mo><mi>k</mi></mrow></msub><mrow><mo>(</mo><mi>Ω</mi><mo>)</mo></mrow><mo>×</mo><msubsup><mrow><mi>V</mi></mrow><mrow><mi>m</mi><mo>+</mo><mi>k</mi></mrow><mrow><msub><mrow><mi>b</mi></mrow><mrow><mn>0</mn></mrow></msub></mrow></msubsup><mrow><mo>(</mo><mi>Ω</mi><mo>)</mo></mrow></mrow></math></span>. 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.</div></div>","PeriodicalId":36918,"journal":{"name":"Results in Applied Mathematics","volume":"24 ","pages":"Article 100498"},"PeriodicalIF":1.4000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-time dynamics of a random higher-order Kirchhoff model with variable coefficient rotational inertia\",\"authors\":\"Penghui Lv , Yuxiao Cun , Guoguang Lin\",\"doi\":\"10.1016/j.rinam.2024.100498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 <span><math><mrow><msub><mrow><mi>D</mi></mrow><mrow><mi>k</mi></mrow></msub><mo>−</mo></mrow></math></span>absorbing sets in the stochastic dynamical system <span><math><msub><mrow><mi>Φ</mi></mrow><mrow><mi>k</mi></mrow></msub></math></span>, and the asymptotic compactness of <span><math><msub><mrow><mi>Φ</mi></mrow><mrow><mi>k</mi></mrow></msub></math></span> is proved via decomposition. Finally, the family of <span><math><mrow><msub><mrow><mi>D</mi></mrow><mrow><mi>k</mi></mrow></msub><mo>−</mo></mrow></math></span>random attractors is acquired for the stochastic dynamical system <span><math><msub><mrow><mi>Φ</mi></mrow><mrow><mi>k</mi></mrow></msub></math></span> in <span><math><mrow><msub><mrow><mi>V</mi></mrow><mrow><mi>m</mi><mo>+</mo><mi>k</mi></mrow></msub><mrow><mo>(</mo><mi>Ω</mi><mo>)</mo></mrow><mo>×</mo><msubsup><mrow><mi>V</mi></mrow><mrow><mi>m</mi><mo>+</mo><mi>k</mi></mrow><mrow><msub><mrow><mi>b</mi></mrow><mrow><mn>0</mn></mrow></msub></mrow></msubsup><mrow><mo>(</mo><mi>Ω</mi><mo>)</mo></mrow></mrow></math></span>. 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.</div></div>\",\"PeriodicalId\":36918,\"journal\":{\"name\":\"Results in Applied Mathematics\",\"volume\":\"24 \",\"pages\":\"Article 100498\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Results in Applied Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590037424000682\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590037424000682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
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 absorbing sets in the stochastic dynamical system , and the asymptotic compactness of is proved via decomposition. Finally, the family of random attractors is acquired for the stochastic dynamical system in . 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.