{"title":"一类随机李-泊松系统的李-泊松数值方法","authors":"Qianqian Liu, Lijin Wang","doi":"10.4208/ijnam2024-1004","DOIUrl":null,"url":null,"abstract":"We propose a numerical method based on the Lie-Poisson reduction for a class of\nstochastic Lie-Poisson systems. Such system is transformed to SDE on the dual $\\mathfrak{g}^∗$ of the Lie\nalgebra related to the Lie group manifold where the system is located, which is also the reduced\nform of a stochastic Hamiltonian system on the cotangent bundle of the Lie group by momentum\nmapping. Stochastic Poisson integrators are obtained by discretely reducing stochastic symplectic\nmethods on the cotangent bundle to integrators on $\\mathfrak{g}^∗.$ Stochastic generating functions creating\nstochastic symplectic methods are used to construct the schemes. An application to the stochastic\nrigid body system illustrates the theory and provides numerical validation of the method.","PeriodicalId":50301,"journal":{"name":"International Journal of Numerical Analysis and Modeling","volume":"1 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lie-Poisson Numerical Method for a Class of Stochastic Lie-Poisson Systems\",\"authors\":\"Qianqian Liu, Lijin Wang\",\"doi\":\"10.4208/ijnam2024-1004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a numerical method based on the Lie-Poisson reduction for a class of\\nstochastic Lie-Poisson systems. Such system is transformed to SDE on the dual $\\\\mathfrak{g}^∗$ of the Lie\\nalgebra related to the Lie group manifold where the system is located, which is also the reduced\\nform of a stochastic Hamiltonian system on the cotangent bundle of the Lie group by momentum\\nmapping. Stochastic Poisson integrators are obtained by discretely reducing stochastic symplectic\\nmethods on the cotangent bundle to integrators on $\\\\mathfrak{g}^∗.$ Stochastic generating functions creating\\nstochastic symplectic methods are used to construct the schemes. An application to the stochastic\\nrigid body system illustrates the theory and provides numerical validation of the method.\",\"PeriodicalId\":50301,\"journal\":{\"name\":\"International Journal of Numerical Analysis and Modeling\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Numerical Analysis and Modeling\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.4208/ijnam2024-1004\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Numerical Analysis and Modeling","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.4208/ijnam2024-1004","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
Lie-Poisson Numerical Method for a Class of Stochastic Lie-Poisson Systems
We propose a numerical method based on the Lie-Poisson reduction for a class of
stochastic Lie-Poisson systems. Such system is transformed to SDE on the dual $\mathfrak{g}^∗$ of the Lie
algebra related to the Lie group manifold where the system is located, which is also the reduced
form of a stochastic Hamiltonian system on the cotangent bundle of the Lie group by momentum
mapping. Stochastic Poisson integrators are obtained by discretely reducing stochastic symplectic
methods on the cotangent bundle to integrators on $\mathfrak{g}^∗.$ Stochastic generating functions creating
stochastic symplectic methods are used to construct the schemes. An application to the stochastic
rigid body system illustrates the theory and provides numerical validation of the method.
期刊介绍:
The journal is directed to the broad spectrum of researchers in numerical methods throughout science and engineering, and publishes high quality original papers in all fields of numerical analysis and mathematical modeling including: numerical differential equations, scientific computing, linear algebra, control, optimization, and related areas of engineering and scientific applications. The journal welcomes the contribution of original developments of numerical methods, mathematical analysis leading to better understanding of the existing algorithms, and applications of numerical techniques to real engineering and scientific problems. Rigorous studies of the convergence of algorithms, their accuracy and stability, and their computational complexity are appropriate for this journal. Papers addressing new numerical algorithms and techniques, demonstrating the potential of some novel ideas, describing experiments involving new models and simulations for practical problems are also suitable topics for the journal. The journal welcomes survey articles which summarize state of art knowledge and present open problems of particular numerical techniques and mathematical models.