Necessary and Sufficient Conditions for Solvability of an Inverse Problem for Higher-Order Differential Operators

We consider an inverse spectral problem that consists in the recovery of the differential expression coefficients for higher-order operators with separate boundary conditions from the spectral data (eigenvalues and weight numbers). This paper is focused on the principal issue of inverse spectral theory, namely, on the necessary and sufficient conditions for the solvability of the inverse problem. In the framework of the method of the spectral mappings, we consider the linear main equation of the inverse problem and prove the unique solvability of this equation in the self-adjoint case. The main result is obtained for the first-order system of the general form, which can be applied to higher-order differential operators with regular and distribution coefficients. From the theorem on the main equation’s solvability, we deduce the necessary and sufficient conditions for the spectral data for a class of arbitrary order differential operators with distribution coefficients. As a corollary of our general results, we obtain the characterization of the spectral data for the fourth-order differential equation in terms of asymptotics and simple structural properties. © 2023 by the author.

Authors
Journal
Publisher
MDPI AG
Number of issue
1
Language
English
Status
Published
Number
61
Volume
12
Year
2024
Organizations
  • 1 Department of Mechanics and Mathematics, Saratov State University, Astrakhanskaya 83, Saratov, 410012, Russian Federation
  • 2 Department of Applied Mathematics and Physics, Samara National Research University, Moskovskoye Shosse 34, Samara, 443086, Russian Federation
  • 3 S.M. Nikolskii Mathematical Institute, Peoples’ Friendship, University of Russia, RUDN University), 6 Miklukho-Maklaya Street, Moscow, 117198, Russian Federation
Keywords
distribution coefficients; higher-order differential operators; inverse spectral problem; method of spectral mappings; necessary and sufficient conditions
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