EconPapers    
Economics at your fingertips  
 

Recovery of Inhomogeneity from Output Boundary Data

Vladislav V. Kravchenko (), Kira V. Khmelnytskaya and Fatma Ayça Çetinkaya
Additional contact information
Vladislav V. Kravchenko: Department of Mathematics, Cinvestav, Campus Querétaro, Libramiento Norponiente #2000, Fracc. Real de Juriquilla, Querétaro 76230, Mexico
Kira V. Khmelnytskaya: Faculty of Engineering, Cerro de las Campanas s/n, col. Las Campanas Querétaro, Autonomous University of Queretaro, Querétaro 76010, Mexico
Fatma Ayça Çetinkaya: Department of Mathematics, Faculty of Science, Mersin University, 33343 Mersin, Turkey

Mathematics, 2022, vol. 10, issue 22, 1-12

Abstract: We consider the Sturm–Liouville equation on a finite interval with a real-valued integrable potential and propose a method for solving the following general inverse problem. We recover the potential from a given set of the output boundary values of a solution satisfying some known initial conditions for a set of values of the spectral parameter. Special cases of this problem include the recovery of the potential from the Weyl function, the inverse two-spectra Sturm–Liouville problem, as well as the recovery of the potential from the output boundary values of a plane wave that interacted with the potential. The method is based on the special Neumann series of Bessel functions representations for solutions of Sturm–Liouville equations. With their aid, the problem is reduced to the classical inverse Sturm–Liouville problem of recovering the potential from two spectra, which is solved again with the help of the same representations. The overall approach leads to an efficient numerical algorithm for solving the inverse problem. Its numerical efficiency is illustrated by several examples.

Keywords: Sturm–Liouville equation; inverse problem; Weyl function; Neumann series of Bessel functions; numerical solution of inverse problem (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/22/4349/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/22/4349/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:22:p:4349-:d:977737

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:10:y:2022:i:22:p:4349-:d:977737