Uniqueness in determining multidimensional domains with unknown initial data

Abstract This paper addresses several geometric inverse problems for some linear parabolic systems where the initial data (and sometimes also the coefficients of the equations) are unknown. The goal is to identify a subdomain within a multidimensional set. The non-homogeneous part of the equation is expressed as a function satisfying some specific assumptions near a positive time. We establish uniqueness results by incorporating observations that can be on a part of the boundary or in an interior (small) domain. Through this process, we also derive information about the initial data. The main tools required for the proofs include semigroup theory, unique continuation and time analyticity results.

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Publication Details

Journal
Inverse Problems
Published
2026-08-25
DOI
https://doi.org/10.1088/1361-6420/ae9e68
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Uniqueness in determining multidimensional domains with unknown initial data

Anna Doubova, Jone Apraiz, Enrique Fernández‐Cara, Masahiro Yamamoto
Inverse Problems
Advanced Data Processing Techniques
article

Uniqueness in determining multidimensional domains with unknown initial data

Anna Doubova, Jone Apraiz, Enrique Fernández‐Cara, Masahiro Yamamoto
article en

Abstract

Abstract This paper addresses several geometric inverse problems for some linear parabolic systems where the initial data (and sometimes also the coefficients of the equations) are unknown. The goal is to identify a subdomain within a multidimensional set. The non-homogeneous part of the equation is expressed as a function satisfying some specific assumptions near a positive time. We establish uniqueness results by incorporating observations that can be on a part of the boundary or in an interior (small) domain. Through this process, we also derive information about the initial data. The main tools required for the proofs include semigroup theory, unique continuation and time analyticity results.

Inverse Problems
University of the Basque Country (ES), Department of Mathematical Sciences (RU), Information and Mathematical Science and Bioinformatics (Japan) (JP), Universidad de Sevilla (ES)
Ministerio de Ciencia, Innovación y Universidades, National Natural Science Foundation of China, Eusko Jaurlaritza, Japan Society for the Promotion of Science, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 99%
Advanced Data Processing Techniques
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