{"title":"椭圆型边值问题参数辨识的唯一性与稳定性","authors":"Abir Benyoucef, L. Alem, L. Chorfi","doi":"10.58205/jiamcs.v2i2.31","DOIUrl":null,"url":null,"abstract":"This paper concerns the uniqueness and stability of an inverse problemin PDE. Our problem consists of identifying two parameters b(x)b(x) and c(x)c(x) in the following boundary-value problem\n{Lu:=−b(x)u′′(x)+c(x)u′(x)=f(x),u(0)=u(1)=0,{Lu:=−b(x)u″(x)+c(x)u′(x)=f(x),u(0)=u(1)=0,\nfrom distributed observations u1u1 (resp. u2u2) associated with the source f1f1 (resp. f2f2). For one observation, the solution is not unique. However, we prove, under some conditions, the uniqueness of the solution p=(b,c)p=(b,c) in the case of two observations. Furthermore, we derive a H\\\"older-type stability result. The algorithm of reconstruction uses the least squares method. Finally, we present some numerical examples with exact and noisy data to illustrate our method.","PeriodicalId":289834,"journal":{"name":"Journal of Innovative Applied Mathematics and Computational Sciences","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uniqueness and stability of parameter identification in elliptic boundary value problem\",\"authors\":\"Abir Benyoucef, L. Alem, L. Chorfi\",\"doi\":\"10.58205/jiamcs.v2i2.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper concerns the uniqueness and stability of an inverse problemin PDE. Our problem consists of identifying two parameters b(x)b(x) and c(x)c(x) in the following boundary-value problem\\n{Lu:=−b(x)u′′(x)+c(x)u′(x)=f(x),u(0)=u(1)=0,{Lu:=−b(x)u″(x)+c(x)u′(x)=f(x),u(0)=u(1)=0,\\nfrom distributed observations u1u1 (resp. u2u2) associated with the source f1f1 (resp. f2f2). For one observation, the solution is not unique. However, we prove, under some conditions, the uniqueness of the solution p=(b,c)p=(b,c) in the case of two observations. Furthermore, we derive a H\\\\\\\"older-type stability result. The algorithm of reconstruction uses the least squares method. Finally, we present some numerical examples with exact and noisy data to illustrate our method.\",\"PeriodicalId\":289834,\"journal\":{\"name\":\"Journal of Innovative Applied Mathematics and Computational Sciences\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Innovative Applied Mathematics and Computational Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58205/jiamcs.v2i2.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Innovative Applied Mathematics and Computational Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58205/jiamcs.v2i2.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Uniqueness and stability of parameter identification in elliptic boundary value problem
This paper concerns the uniqueness and stability of an inverse problemin PDE. Our problem consists of identifying two parameters b(x)b(x) and c(x)c(x) in the following boundary-value problem
{Lu:=−b(x)u′′(x)+c(x)u′(x)=f(x),u(0)=u(1)=0,{Lu:=−b(x)u″(x)+c(x)u′(x)=f(x),u(0)=u(1)=0,
from distributed observations u1u1 (resp. u2u2) associated with the source f1f1 (resp. f2f2). For one observation, the solution is not unique. However, we prove, under some conditions, the uniqueness of the solution p=(b,c)p=(b,c) in the case of two observations. Furthermore, we derive a H\"older-type stability result. The algorithm of reconstruction uses the least squares method. Finally, we present some numerical examples with exact and noisy data to illustrate our method.