{"title":"Dynamics and Exact Solutions of Third-order Nonlinear Evolutionary Differential Equations","authors":"A. Kushner, E. N. Kushner","doi":"10.1109/MLSD49919.2020.9247716","DOIUrl":null,"url":null,"abstract":"This article proposes an approach to constructing exact solutions of a third-order nonlinear evolutionary differential equation based on the theory of finite-dimensional dynamics. This theory, in turn, is based on the theory of shuffling symmetries of ordinary differential equations and it is a natural extension of the theory of dynamical systems to evolutionary partial differential equations. theory of finite-dimensional dynamics makes it possible to find families of solutions of evolution equations, depending on a finite number of parameters, among all solutions of such equations.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MLSD49919.2020.9247716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article proposes an approach to constructing exact solutions of a third-order nonlinear evolutionary differential equation based on the theory of finite-dimensional dynamics. This theory, in turn, is based on the theory of shuffling symmetries of ordinary differential equations and it is a natural extension of the theory of dynamical systems to evolutionary partial differential equations. theory of finite-dimensional dynamics makes it possible to find families of solutions of evolution equations, depending on a finite number of parameters, among all solutions of such equations.