
handle: 11368/2498547 , 11697/20205
Let \(\mathcal{F}\) be a bounded family of \(n\times n\) complex matrices and \(\Sigma_k(\mathcal{F})=\{A_1\cdots A_k\;:\;A_i\in \mathcal{F}\}\). For each \(k\geq 1\), define the number \(\bar{\rho}_k(\mathcal{F})=\sup_{Q\in \Sigma_k(\mathcal{F})} \rho(Q)\) where \(\rho(\cdot)\) denotes the spectral radius of a matrix. The generalized spectral radius of \(\mathcal{F}\) is \(\rho(\mathcal{F})=\limsup_{k\rightarrow\infty} \bar{\rho}_k(\mathcal{F})^{1/k}\). \(\mathcal{F}\) is said to be asymptotically regular if \[ \rho(\mathcal{F})=\lim_{k\rightarrow\infty} \bar{\rho}_k(\mathcal{F})^{1/k}. \] \(\mathcal{F}\) is said to have finiteness property if there exists \(k^*\geq 1\) and a \(P\in \Sigma_{k^*}(\mathcal{F})\) such that \[ \rho(\mathcal{F})=\bar{\rho}_{k^*}(\mathcal{F})^{1/{k^*}}=\rho(P)^{1/k^*} \] and the special \(P\) is called a spectrum-maximizing product for \(\mathcal{F}\). Theorem 3.1 states a sufficient condition on a matrix \(P\) and \(k^*>1\) such that \(\lim_{k\rightarrow\infty} \bar{\rho}_k(\mathcal{F})^{1/k}\geq \rho(P)^{1/k^*}\). As a consequence, Corollary 3.1 states a sufficient condition on a \(\mathcal{F}\) with finiteness property to be asymptotically regular. At the end of the article, there is an application Theorem 5.2 which states that if \(\mathcal{F}\) is a bounded family of nonnegative matrices with finiteness property and there exists a primitive spectrum-maximizing product, then \(\mathcal{F}\) is asymptotically regular.
Numerical Analysis, Eigenvalues, singular values, and eigenvectors, Algebra and Number Theory, Finiteness properties, asymptotic regularity, nonnegative matrices, Asymptotic regularity, Joint spectral radius, Nonnegative matrices, Joint spectral radius; Asymptotic regularity; Nonnegative matrices, finiteness propertie, joint spectral radius, Positive matrices and their generalizations; cones of matrices, joint spectral radius; asymptotic regularity; finiteness properties; nonnegative matrices, joint spectral radiu, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Discrete Mathematics and Combinatorics, finiteness properties, Geometry and Topology
Numerical Analysis, Eigenvalues, singular values, and eigenvectors, Algebra and Number Theory, Finiteness properties, asymptotic regularity, nonnegative matrices, Asymptotic regularity, Joint spectral radius, Nonnegative matrices, Joint spectral radius; Asymptotic regularity; Nonnegative matrices, finiteness propertie, joint spectral radius, Positive matrices and their generalizations; cones of matrices, joint spectral radius; asymptotic regularity; finiteness properties; nonnegative matrices, joint spectral radiu, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Discrete Mathematics and Combinatorics, finiteness properties, Geometry and Topology
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