Direct and inverse scattering problems for two-velocity dynamical systems with time dependent potential

Abstract The paper presents an approach to the scattering problem on the half-line for a class of dynamical systems involving two types of waves that propagate at different velocities and interact within a non-stationary medium. The scattering operator on the half-line is defined, and its Volterra property is established. A procedure is then proposed for solving the inverse scattering problem, namely, recovering the time-dependent potential from the scattering operator. This work is inspired by M. I. Belishev et al. (1997), who addressed the reconstruction of a spatially varying potential of the dynamical system coupling two one-dimensional wave equations from scattering data.

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Publication Details

Journal
Journal of Inverse and Ill-Posed Problems
Published
2026-01-20
DOI
https://doi.org/10.1515/jiip-2025-0063
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
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article

Direct and inverse scattering problems for two-velocity dynamical systems with time dependent potential

Mansur I. Ismailov
Journal of Inverse and Ill-Posed Problems
Numerical methods in inverse problems
article

Direct and inverse scattering problems for two-velocity dynamical systems with time dependent potential

Mansur I. Ismailov
article en

Abstract

Abstract The paper presents an approach to the scattering problem on the half-line for a class of dynamical systems involving two types of waves that propagate at different velocities and interact within a non-stationary medium. The scattering operator on the half-line is defined, and its Volterra property is established. A procedure is then proposed for solving the inverse scattering problem, namely, recovering the time-dependent potential from the scattering operator. This work is inspired by M. I. Belishev et al. (1997), who addressed the reconstruction of a spatially varying potential of the dynamical system coupling two one-dimensional wave equations from scattering data.

Journal of Inverse and Ill-Posed Problems
Gebze Technical University (TR)
Openalex Percentile: Top 77%
Numerical methods in inverse problems
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