2022
DOI: 10.3390/math10203882
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Reconstruction of Higher-Order Differential Operators by Their Spectral Data

Abstract: This paper is concerned with inverse spectral problems for higher-order (n>2) ordinary differential operators. We develop an approach to the reconstruction from the spectral data for a wide range of differential operators with either regular or distribution coefficients. Our approach is based on the reduction of an inverse problem to a linear equation in the Banach space of bounded infinite sequences. This equation is derived in a general form that can be applied to various classes of differential operators… Show more

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Cited by 11 publications
(72 citation statements)
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“…In addition, we obtain the analogs of Theorems 1.1 and 1.2 for the weight numbers defined in the "Asymptotics of weight numbers" section. The weight numbers together with the eigenvalues are used as spectral data for recovering higher-order differential operators with distribution coefficients in [1]. The paper is organized as follows.…”
Section: Corollary 13mentioning
confidence: 99%
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“…In addition, we obtain the analogs of Theorems 1.1 and 1.2 for the weight numbers defined in the "Asymptotics of weight numbers" section. The weight numbers together with the eigenvalues are used as spectral data for recovering higher-order differential operators with distribution coefficients in [1]. The paper is organized as follows.…”
Section: Corollary 13mentioning
confidence: 99%
“…The paper aims to study spectral data asymptotics for the differential equation subject to the separated boundary conditions. The results of this paper are applied in [1] to the inverse problem theory and also have a separate significance.…”
Section: Introductionmentioning
confidence: 96%
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