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Sharp bounds on the spectral radius of a nonnegative matrix. (English) Zbl 1283.15058

Summary: We give upper and lower bounds for the spectral radius of a nonnegative matrix using its row sums and characterize the equality cases if the matrix is irreducible. Then we apply these bounds to various matrices associated with a graph, including the adjacency matrix, the signless Laplacian matrix, the distance matrix, the distance signless Laplacian matrix, and the reciprocal distance matrix. Some known results in the literature are generalized and improved.

MSC:

15A42 Inequalities involving eigenvalues and eigenvectors
05C50 Graphs and linear algebra (matrices, eigenvalues, etc.)
15B48 Positive matrices and their generalizations; cones of matrices
Full Text: DOI

References:

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