{"title":"从大时间测量中恢复多孔介质方程中的扩散系数","authors":"Hagop Karakazian, Toni Sayah, Faouzi Triki","doi":"10.1007/s10440-025-00747-5","DOIUrl":null,"url":null,"abstract":"<div><p>This paper addresses the time-dependent Porous Medium Equation, <span>\\(u_{t} - \\alpha \\Delta u^{\\gamma }= 0\\)</span> with polytropic exponent <span>\\(\\gamma >1\\)</span> and diffusion coefficient <span>\\(\\alpha >0\\)</span>. Given the value of <span>\\(\\gamma \\)</span> and the solution <span>\\(u\\)</span> at a large time <span>\\(T\\)</span>, our goal is to determine the parameter <span>\\(\\alpha \\)</span> without the knowledge of the initial data <span>\\(u(0)\\)</span>. Leveraging an asymptotic inequality satisfied by <span>\\(u(T)\\)</span>, we propose a numerical algorithm to recover <span>\\(\\alpha \\)</span> through a minimization problem. Furthermore, we establish an upper bound on the error between the exact and recovered values of <span>\\(\\alpha \\)</span> and perform numerical simulations in two and three dimensional cases.</p></div>","PeriodicalId":53132,"journal":{"name":"Acta Applicandae Mathematicae","volume":"199 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recovering the Diffusion Coefficient in the Porous Medium Equation from a Large-Time Measurement\",\"authors\":\"Hagop Karakazian, Toni Sayah, Faouzi Triki\",\"doi\":\"10.1007/s10440-025-00747-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper addresses the time-dependent Porous Medium Equation, <span>\\\\(u_{t} - \\\\alpha \\\\Delta u^{\\\\gamma }= 0\\\\)</span> with polytropic exponent <span>\\\\(\\\\gamma >1\\\\)</span> and diffusion coefficient <span>\\\\(\\\\alpha >0\\\\)</span>. Given the value of <span>\\\\(\\\\gamma \\\\)</span> and the solution <span>\\\\(u\\\\)</span> at a large time <span>\\\\(T\\\\)</span>, our goal is to determine the parameter <span>\\\\(\\\\alpha \\\\)</span> without the knowledge of the initial data <span>\\\\(u(0)\\\\)</span>. Leveraging an asymptotic inequality satisfied by <span>\\\\(u(T)\\\\)</span>, we propose a numerical algorithm to recover <span>\\\\(\\\\alpha \\\\)</span> through a minimization problem. Furthermore, we establish an upper bound on the error between the exact and recovered values of <span>\\\\(\\\\alpha \\\\)</span> and perform numerical simulations in two and three dimensional cases.</p></div>\",\"PeriodicalId\":53132,\"journal\":{\"name\":\"Acta Applicandae Mathematicae\",\"volume\":\"199 1\",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2025-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Applicandae Mathematicae\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10440-025-00747-5\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Applicandae Mathematicae","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10440-025-00747-5","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Recovering the Diffusion Coefficient in the Porous Medium Equation from a Large-Time Measurement
This paper addresses the time-dependent Porous Medium Equation, \(u_{t} - \alpha \Delta u^{\gamma }= 0\) with polytropic exponent \(\gamma >1\) and diffusion coefficient \(\alpha >0\). Given the value of \(\gamma \) and the solution \(u\) at a large time \(T\), our goal is to determine the parameter \(\alpha \) without the knowledge of the initial data \(u(0)\). Leveraging an asymptotic inequality satisfied by \(u(T)\), we propose a numerical algorithm to recover \(\alpha \) through a minimization problem. Furthermore, we establish an upper bound on the error between the exact and recovered values of \(\alpha \) and perform numerical simulations in two and three dimensional cases.
期刊介绍:
Acta Applicandae Mathematicae is devoted to the art and techniques of applying mathematics and the development of new, applicable mathematical methods.
Covering a large spectrum from modeling to qualitative analysis and computational methods, Acta Applicandae Mathematicae contains papers on different aspects of the relationship between theory and applications, ranging from descriptive papers on actual applications meeting contemporary mathematical standards to proofs of new and deep theorems in applied mathematics.