Joint bounds for the Perron roots of nonnegative matrices with applications

Given a finite set $\{A^{(x)}\}_{x\in X}$ of nonnegative matrices, we derive joint upper and lower bounds for the row sums of the matrices $D^{-1}A^{(x)}D$, $x\in X$, where $D$ is a specially chosen nonsingular diagonal matrix. These bounds, depending only on the sparsity patterns of the matrices $A^{(x)}$ and their row sums, are used to obtain joint two-sided bounds for the Perron roots of given nonnegative matrices, joint upper bounds for the spectral radii of given complex matrices, bounds for the joint and lower spectral radii of a matrix set, and conditions sufficient for all convex combinations of given matrices to be Schur stable.