2014
DOI: 10.1016/j.laa.2014.01.022
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The Berger–Wang formula for the Markovian joint spectral radius

Abstract: We give a formula for the joint local spectral radius of a bounded subset of bounded linear operators on a Banach space X in terms of the dual of X. Let X be a Banach space and L(X) the algebra of all bounded linear operators in X. The joint spectral radius ρ(M) of a bounded subset M of L(X) was introduced by G.-C. Rota and W. G. Strang [5] as ρ(M) = lim sup n→∞ M n 1/n , where M n is the set of all products T 1 •.. .•T n (T i ∈ M) and M n = sup T ∈M n T. Recently the notion of the joint local spectral radius … Show more

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Cited by 48 publications
(72 citation statements)
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“…In this section we strengthen the results of [1,19] on the joint/generalized spectral radius for the Markovian matrix products for the matrix products (1) whose index sequences α = (α n ) are subjected to constraints on the sliding block relative frequencies of symbols.…”
Section: Matrix Products With Constraints On the Sliding Block Relatisupporting
confidence: 55%
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“…In this section we strengthen the results of [1,19] on the joint/generalized spectral radius for the Markovian matrix products for the matrix products (1) whose index sequences α = (α n ) are subjected to constraints on the sliding block relative frequencies of symbols.…”
Section: Matrix Products With Constraints On the Sliding Block Relatisupporting
confidence: 55%
“…A more complicated situation is when these matrix products are somehow constrained, for example, some combinations of matrices in them are forbidden. One of situations of the kind was investigated in [1,19], where the concepts of the Markovian joint and generalized spectral radii were introduced to analyze the matrix products with constraints of the Markovian type on the neighboring matrices. Another situation of the kind is described in what follows.…”
Section: The Markovian Joint and Generalized Spectral Radiimentioning
confidence: 99%
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