Reconstruction of potential function in inverse Sturm-Liouville problem via partial data




Sturm-Liouville theory, Numerical approximation of eigenvalues and of other parts of the spectrum, optimization


In this paper, three different uniqueness data are investigated to reconstruct the potential function in the Sturm-Liouville boundary value problem in the normal form. Taking account of R\"{o}hrl's objective function, the steepest descent method is used in the computation of potential functions. To decrease the volume of computation, we propose a theorem to precalculate the minimization parameter that is required in the optimization. Further, we propose a novel time-saving algorithm in which the obligation of using the asymptotics of eigenvalues and eigenfunctions and the appropriateness of selected boundary conditions are also eliminated. As partial data, we take two spectra, the set of the $j$th elements of the infinite numbers of spectra obtained by changing boundary conditions in the problem, and one spectrum with the set of terminal velocities. In order to show the efficiency of the proposed method, numerical results are given for three test potentials which are smooth, nonsmooth continuous, and noncontinuous, respectively.

Author Biographies

Mehmet Açil, Department of Mathematics, Van Yüzüncü Yıl University, Turkey

is currently an Assistant Professor of Applied Mathematics at Van Yüzüncü Yıl University (Van YYU), Türkiye since 2019. He obtained his PhD degree in applied mathematics from Van YYU in 2018 specialization in inverse Sturm-Liouville problems and the master degree in applied mathematics from Manisa Celal Bayar University in 2013. His research interests include inverse Sturm-Liouville problems, potential theory and Lie symmetries.

Ali Konuralp, Department of Mathematics, Faculty of Arts and Sciences, Celal Bayar University, Muradiye Campus, Yunus Emre, 45140 Manisa, Turkey

is currently an Associate Professor at Department of Mathematics, Manisa Celal Bayar University in Türkiye, since 2016. He received the master and Ph.D degree in applied mathematics at MCBU. His research interests include in numerical analysis of differential equations and fractional differential equations.


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How to Cite

Açil, M., & Konuralp, A. (2021). Reconstruction of potential function in inverse Sturm-Liouville problem via partial data. An International Journal of Optimization and Control: Theories &Amp; Applications (IJOCTA), 11(2), 186–198.



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