✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Later on, the structure of spectrum set of these extensions has been researched.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:In this paper rstly all maximal accretive extensions of the minimal operator generated by a rst order linear singular quasi-dierential expression in the weighted Hilbert space of vector-functions on right semi-axis are described.
📊
Key Findings & Data:In this paper rstly all maximal accretive extensions of the minimal operator generated by a rst order linear singular quasi-dierential expression in the weighted Hilbert space of vector-functions on right semi-axis are described.
💡
Conclusion & Impact:Later on, the structure of spectrum set of these extensions has been researched.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this paper rstly all maximal accretive extensions of the minimal operator generated by a rst order linear singular quasi-dierential expression in the weighted Hilbert space of vector-functions on right semi-axis are described. Later on, the structure of spectrum set of these extensions has been researched.
🔖
Cite This Article
İPEK, P., ISMAILOV, Z. I. (2022). Maximal accretive singular quasi-di erential operators. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 5, 1120–1127. https://ajindex.com/articles/529867