Two-Dimensional Inverse Problem for a Viscoelasticity Equationin a Vertically Inhomogeneous Medium

The two-dimensional inverse problem of determining the kernel of an elasticity equation of memory type is studied. It is assumed that the coefficients of the equations depend on only one spatial variable. Applying the linearization principle, the inverse problem is reduced to an equivalent linear system of integral equations. The generalized principle of compressed maps is applied to the latter in the space of continuous functions. The theorem of unique solvability is proved and an estimate of the stability of the solution to the inverse problem is obtained.

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Publication Details

Journal
Journal of Applied and Industrial Mathematics
Published
2025-11-02
DOI
https://doi.org/10.1134/s1990478925010132
Primary Topic
Numerical methods in inverse problems
Type
article
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article

Two-Dimensional Inverse Problem for a Viscoelasticity Equationin a Vertically Inhomogeneous Medium

Zhanna Dmitrievna Totieva
Journal of Applied and Industrial Mathematics
Numerical methods in inverse problems
article

Two-Dimensional Inverse Problem for a Viscoelasticity Equationin a Vertically Inhomogeneous Medium

Zhanna Dmitrievna Totieva
article en

Abstract

The two-dimensional inverse problem of determining the kernel of an elasticity equation of memory type is studied. It is assumed that the coefficients of the equations depend on only one spatial variable. Applying the linearization principle, the inverse problem is reduced to an equivalent linear system of integral equations. The generalized principle of compressed maps is applied to the latter in the space of continuous functions. The theorem of unique solvability is proved and an estimate of the stability of the solution to the inverse problem is obtained.

Journal of Applied and Industrial MathematicsVol. 19(1)
Federal State Budgetary Institution of Science Federal Scientific Center "Vladikavkaz Scientific Center of the Russian Academy of Sciences" (RU)
Openalex Percentile: Top 61%
Numerical methods in inverse problems
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