{"title":"Shape derivative of the Laplacian eigenvalue problem","authors":"Zhengfang Zhang , Lulu Guo , Xiangjing Gao , Weifeng Chen , Xiaoliang Cheng","doi":"10.1016/j.camwa.2025.09.013","DOIUrl":null,"url":null,"abstract":"<div><div>The Laplacian eigenvalue problem with two different densities is investigated. By the squeeze theorem, the shape derivative of the least eigenvalue on the interface of two different density subdomains is derived. As an application, the minimization of the least eigenvalue with area constraint is considered. The shape derivative of the objective functional is applied as the velocity for the level set method to involve the interface. The numerical results validate that the proposed method is effective to capture the final optimized distribution of two different densities.</div></div>","PeriodicalId":55218,"journal":{"name":"Computers & Mathematics with Applications","volume":"199 ","pages":"Pages 127-147"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Mathematics with Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0898122125003943","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
The Laplacian eigenvalue problem with two different densities is investigated. By the squeeze theorem, the shape derivative of the least eigenvalue on the interface of two different density subdomains is derived. As an application, the minimization of the least eigenvalue with area constraint is considered. The shape derivative of the objective functional is applied as the velocity for the level set method to involve the interface. The numerical results validate that the proposed method is effective to capture the final optimized distribution of two different densities.
期刊介绍:
Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).