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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally, the structure of spectrum set of such extensions is researched
📌 3 Key Takeaways
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Objective & Hypothesis:The parametrization of all selfadjoint extensions of the minimal operator generated by frst order linear symmetric singular differential-operator expression in the Hilbert space of vector-functions defined at the right semi-axis has been given.
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Key Findings & Data:To this end we use the Calkin-Gorbachuk method.
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Conclusion & Impact:Finally, the structure of spectrum set of such extensions is researched
🔬Design:Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The parametrization of all selfadjoint extensions of the minimal operator generated by frst order linear symmetric singular differential-operator expression in the Hilbert space of vector-functions defined at the right semi-axis has been given. To this end we use the Calkin-Gorbachuk method. Finally, the structure of spectrum set of such extensions is researched
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Cite This Article
İpek, P., Ismaılov, İ. (2018). SELFADJOINT SINGULAR DIFFERENTIAL OPERATORS FOR FIRST ORDER. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Volume: 67 Issue: 2. https://ajindex.com/articles/1470054