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Mathematical Methods in the Applied Sciences
Article . 2022 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2022
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Inverse nodal problem for Dirac operator with integral type nonlocal boundary conditions

Authors: A. Sinan Ozkan; İbrahim Adalar;

Inverse nodal problem for Dirac operator with integral type nonlocal boundary conditions

Abstract

In this paper, Dirac operator with some integral type nonlocal boundary conditions is studied. We show that the coefficients of the problem can be uniquely determined by a dense set of nodal points. Moreover, we give an algorithm for the reconstruction of some coefficients of the operator.

Country
Turkey
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Keywords

inverse nodal problem, Mathematics - Classical Analysis and ODEs, Dirac operator, Inverse problems involving ordinary differential equations, Particular ordinary differential operators (Dirac, one-dimensional Schrödinger, etc.), Classical Analysis and ODEs (math.CA), FOS: Mathematics, Nonlocal and multipoint boundary value problems for ordinary differential equations, nonlocal boundary condition

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green