Inverse Problems of Recovering Lower-Order Coefficients from Boundary Integral Data

We study inverse problems of identification of lower-order coefficients in a second-order parabolic equation. The coefficients are sought in the form of a finite series segment with unknown coefficients, depending on time. The linear case is also considered. Overdetermination conditions are the integrals over the boundary of a solution’s domain with weights. We focus on existence and uniqueness theorems and stability estimates for solutions to these inverse problems. An operator equation to which the problem is reduced is studied with the use of the contraction mapping principle. A solution belongs to some Sobolev space and has all generalized derivatives occurring into the equation summable to some power. The method of the proof is constructive, and it can be used for developing new numerical algorithms for solving the problem.

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Journal
Axioms
Published
2025-02-01
DOI
https://doi.org/10.3390/axioms14020116
Citations
1
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
1.28
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article

Inverse Problems of Recovering Lower-Order Coefficients from Boundary Integral Data

S. G. Pyatkov, O. A. Soldatov
1 citations
Axioms
Image and Signal Denoising Methods
1.28
article

Inverse Problems of Recovering Lower-Order Coefficients from Boundary Integral Data

S. G. Pyatkov, O. A. Soldatov
article en
1 citations

Abstract

We study inverse problems of identification of lower-order coefficients in a second-order parabolic equation. The coefficients are sought in the form of a finite series segment with unknown coefficients, depending on time. The linear case is also considered. Overdetermination conditions are the integrals over the boundary of a solution’s domain with weights. We focus on existence and uniqueness theorems and stability estimates for solutions to these inverse problems. An operator equation to which the problem is reduced is studied with the use of the contraction mapping principle. A solution belongs to some Sobolev space and has all generalized derivatives occurring into the equation summable to some power. The method of the proof is constructive, and it can be used for developing new numerical algorithms for solving the problem.

AxiomsVol. 14(2)
Yugra State University (RU), Academy of Sciences of the Republic of Sakha (RU)
Openalex Percentile: Top 23%
Image and Signal Denoising Methods
1.28
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