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What is Geometric-Arithmetic Matrix Spread in Graphs about?
This article investigates the geometric-arithmetic matrix GA(G) of graphs, focusing on its eigenvalues and the concept of geometric-arithmetic spread SGA(G), defined as the difference between the largest and smallest eigenvalues. The authors establish lower and upper bounds for SGA(G) and demonstrate the existence of graphs where these bounds are achieved. Additionally, the paper computes SGA(G) for various graph operations and discusses its implications in spectral graph theory.
- Author
- Naveed
- Language
- EN