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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this paper we define “greatest common divisor (or gcd)” symmetrization of a positive matrix and using this we obtain some lower bounds for Perron root of positive matrices.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper we define “greatest common divisor (or gcd)” symmetrization of a positive matrix and using this we obtain some lower bounds for Perron root of positive matrices.
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Key Findings & Data:In this paper we define “greatest common divisor (or gcd)” symmetrization of a positive matrix and using this we obtain some lower bounds for Perron root of positive matrices.
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Conclusion & Impact:In this paper we define “greatest common divisor (or gcd)” symmetrization of a positive matrix and using this we obtain some lower bounds for Perron root of positive matrices.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Pozitif matris · Perron kökü · Positive matrix
Abstract
In this paper we define “greatest common divisor (or gcd)” symmetrization of a positive matrix and using this we obtain some lower bounds for Perron root of positive matrices.
Özet
Bu çalışmada, pozitif matrisin en büyük ortak bölen simetrizasyonu tanımlandı ve bu simetrizasyon kullanılarak, pozitif matrislerin Perron kökleri için alt sınırlar elde edildi.
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Cite This Article
ÖÇAL, A. A., TAŞCI, D. (2003). Lower Bounds For Perron Root Of Positive Matrices. Selçuk Üniversitesi Fen Fakültesi Fen Dergisi, Cilt: 1 - Sayı: 22, 77–82. https://ajindex.com/articles/800568