{"title":"谱问题渐近模型中的局域特征函数","authors":"Evgeniya. A. Molchanova","doi":"10.17223/19988621/82/1","DOIUrl":null,"url":null,"abstract":"Localized eigenfunctions in the two-dimensional spectral problem containing a small parameter with higher derivatives are constructed on the expected solution form. Localization in this context means that the solution exponentially decays in both direc-tions starting from the \"weakest\" point or line. The constructions are based on the algo-rithm introduced by V.P. Maslov. A modification of this algorithm for the thin shell theory problems is given as an application. The paper shows implementation of the algorithm to obtain formulas giving eigenvalues and corresponding eigenfunctions. An example of solving a specific problem is given, illustrating stages of the applied asymptotic model.","PeriodicalId":43729,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Matematika i Mekhanika-Tomsk State University Journal of Mathematics and Mechanics","volume":"42 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Localized eigenfunctions in the asymptotic model of the spectral problem\",\"authors\":\"Evgeniya. A. Molchanova\",\"doi\":\"10.17223/19988621/82/1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Localized eigenfunctions in the two-dimensional spectral problem containing a small parameter with higher derivatives are constructed on the expected solution form. Localization in this context means that the solution exponentially decays in both direc-tions starting from the \\\"weakest\\\" point or line. The constructions are based on the algo-rithm introduced by V.P. Maslov. A modification of this algorithm for the thin shell theory problems is given as an application. The paper shows implementation of the algorithm to obtain formulas giving eigenvalues and corresponding eigenfunctions. An example of solving a specific problem is given, illustrating stages of the applied asymptotic model.\",\"PeriodicalId\":43729,\"journal\":{\"name\":\"Vestnik Tomskogo Gosudarstvennogo Universiteta-Matematika i Mekhanika-Tomsk State University Journal of Mathematics and Mechanics\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vestnik Tomskogo Gosudarstvennogo Universiteta-Matematika i Mekhanika-Tomsk State University Journal of Mathematics and Mechanics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17223/19988621/82/1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MECHANICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Matematika i Mekhanika-Tomsk State University Journal of Mathematics and Mechanics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17223/19988621/82/1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MECHANICS","Score":null,"Total":0}
Localized eigenfunctions in the asymptotic model of the spectral problem
Localized eigenfunctions in the two-dimensional spectral problem containing a small parameter with higher derivatives are constructed on the expected solution form. Localization in this context means that the solution exponentially decays in both direc-tions starting from the "weakest" point or line. The constructions are based on the algo-rithm introduced by V.P. Maslov. A modification of this algorithm for the thin shell theory problems is given as an application. The paper shows implementation of the algorithm to obtain formulas giving eigenvalues and corresponding eigenfunctions. An example of solving a specific problem is given, illustrating stages of the applied asymptotic model.