✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In addition, we have obtained upper bounds of norms of the almost Hubert-Smith GCD matrix is defined (S)=$[\frac{(i,j)}{ij}]^n_{i,j}$=1
📌 3 Key Takeaways
🎯
Objective & Hypothesis:Let S={1, 2,..., n} be a set of positive integers.
📊
Key Findings & Data:The nXn matrix [S]=(i,j), where $S_{ij}=(X_i,X_j)$ the greatest common divisor of $x_i$ and $x_j$, is called the greatest common divisor GCD matrix on S.
💡
Conclusion & Impact:In addition, we have obtained upper bounds of norms of the almost Hubert-Smith GCD matrix is defined (S)=$[\frac{(i,j)}{ij}]^n_{i,j}$=1
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
Let S={1, 2,..., n} be a set of positive integers. The nXn matrix [S]=(i,j), where $S_{ij}=(X_i,X_j)$ the greatest common divisor of $x_i$ and $x_j$, is called the greatest common divisor GCD matrix on S. In this study, we have obtained some bounds of norms of this matrix. In addition, we have obtained upper bounds of norms of the almost Hubert-Smith GCD matrix is defined (S)=$[\frac{(i,j)}{ij}]^n_{i,j}$=1
🔖
Cite This Article
TÜRKMEN, R., BOZKURT, D. (2004). A note on the norms of the GCD matrix. Mathematical and Computational Applications, Cilt: 9 - Sayı: 2, 303–308. https://ajindex.com/articles/280347