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Method for solving inverse spectral problems on quantum star graphs

  • Sergei A. Avdonin und Vladislav V. Kravchenko ORCID logo EMAIL logo
Veröffentlicht/Copyright: 10. Januar 2023

Abstract

A new method for solving inverse spectral problems on quantum star graphs is proposed. The method is based on Neumann series of Bessel function representations for solutions of Sturm–Liouville equations. The representations admit estimates for the series remainders which are independent of the real part of the square root of the spectral parameter. This feature makes them especially useful for solving direct and inverse spectral problems requiring calculation of solutions on large intervals in the spectral parameter. Moreover, the first coefficient of the representation is sufficient for the recovery of the potential. The method for solving the inverse spectral problem on the graph consists in reducing the problem to a two-spectra inverse Sturm–Liouville problem on each edge. Then a system of linear algebraic equations is derived for computing the first coefficient of the series representation for the solution on each edge and hence for recovering the potential. The proposed method leads to an efficient numerical algorithm that is illustrated by a number of numerical tests.

MSC 2010: 35R30; 34B24; 34B45

Award Identifier / Grant number: 284470

Award Identifier / Grant number: 075-02-2022-893

Award Identifier / Grant number: DMS 1909869

Funding statement: Research was supported by CONACYT, Mexico via the project 284470 and partially performed at the Regional Mathematical Center of the Southern Federal University with the support of the Ministry of Science and Higher Education of Russia, agreement 075-02-2022-893. The research of Sergei Avdonin was supported in part by the National Science Foundation, grant DMS 1909869, and by Moscow Center for Fundamental and Applied Mathematics.

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Received: 2022-06-01
Revised: 2022-07-12
Accepted: 2022-10-30
Published Online: 2023-01-10
Published in Print: 2023-02-01

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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