A Coefficient Inverse Problem for a Diffusion–Relaxation Model on Disjoint Domains

Many important physical phenomena can be described by parabolic interface problems. An example is provided by a two-layer magnetic system symmetrically distributed over two disconnected domains. In this work, we consider an inverse problem for identifying a space-dependent diffusion coefficient in a parabolic equation defined on disjoint domains, based on final-time measurements. First, we discuss the well-posedness of the corresponding direct problem. Then, we develop an iterative method for solving the inverse problem, which is reformulated as a sequence of direct problems. A numerical implementation based on the finite difference method is presented, and results from numerical test examples are discussed.

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Publication Details

Journal
Symmetry
Published
2026-06-29
DOI
https://doi.org/10.3390/sym18071100
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
0.00

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article

A Coefficient Inverse Problem for a Diffusion–Relaxation Model on Disjoint Domains

Lubin G. Vulkov, Miglena N. Koleva
Symmetry
Numerical methods in inverse problems
article

A Coefficient Inverse Problem for a Diffusion–Relaxation Model on Disjoint Domains

Lubin G. Vulkov, Miglena N. Koleva
article en

Abstract

Many important physical phenomena can be described by parabolic interface problems. An example is provided by a two-layer magnetic system symmetrically distributed over two disconnected domains. In this work, we consider an inverse problem for identifying a space-dependent diffusion coefficient in a parabolic equation defined on disjoint domains, based on final-time measurements. First, we discuss the well-posedness of the corresponding direct problem. Then, we develop an iterative method for solving the inverse problem, which is reformulated as a sequence of direct problems. A numerical implementation based on the finite difference method is presented, and results from numerical test examples are discussed.

SymmetryVol. 18(7)
Angel Kanchev University of Ruse (BG)
European Commission
Openalex Percentile: Top 4%
Numerical methods in inverse problems
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