Abstract
This paper is concerned with the inverse spectral problem for the third-order differential equation with distribution coefficient. The inverse problem consists in the recovery of the differential expression coefficients from the spectral data of two boundary value problems with separated boundary conditions. For this inverse problem, we solve the most fundamental question of the inverse spectral theory about the necessary and sufficient conditions of solvability. In addition, we prove the local solvability and stability of the inverse problem. Furthermore, we obtain very simple sufficient conditions of solvability in the self-adjoint case. The main results are proved by a constructive method that reduces the nonlinear inverse problem to a linear equation in the Banach space of bounded infinite sequences. In the future, our results can be generalized to various classes of higher-order differential operators with integrable or distribution coefficients.
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Funding
This work was supported by Grant 21-71-10001 of the Russian Science Foundation, https://rscf.ru/en/project/21-71-10001/.
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Bondarenko, N.P. Inverse Spectral Problem for the Third-Order Differential Equation. Results Math 78, 179 (2023). https://doi.org/10.1007/s00025-023-01955-x
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DOI: https://doi.org/10.1007/s00025-023-01955-x
Keywords
- Inverse spectral problems
- third-order differential operator
- distribution coefficients
- necessary and sufficient conditions
- spectral data characterization
- method of spectral mappings