2007
DOI: 10.2478/v10006-007-0016-1
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Falseness of the Finiteness Property of the Spectral Subradius

Abstract: We prove that there exist infinitely may values of the real parameter α for which the exact value of the spectral subradius of the set of two matrices (one matrix with ones above and on the diagonal and zeros elsewhere, and one matrix with α below and on the diagonal and zeros elsewhere, both matrices having two rows and two columns) cannot be calculated in a finite number of steps. Our proof uses only elementary facts from the theory of formal languages and from linear algebra, but it is not constructive beca… Show more

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Cited by 7 publications
(4 citation statements)
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“…It is well-known that the condition ρ (A i ) < 1 for i ∈ I is only the necessary but not sufficient condition for absolute stability of DLI (Σ) [12]. In our further considerations we will show that this condition together with some bounds on A i − A j for i, j ∈ I implies the absolute stability of DLI (Σ).…”
Section: Resultsmentioning
confidence: 99%
“…It is well-known that the condition ρ (A i ) < 1 for i ∈ I is only the necessary but not sufficient condition for absolute stability of DLI (Σ) [12]. In our further considerations we will show that this condition together with some bounds on A i − A j for i, j ∈ I implies the absolute stability of DLI (Σ).…”
Section: Resultsmentioning
confidence: 99%
“…The lower radius in a sense is more complex object for analysis than the generalized spectral radius because it generally depends on A not continuously [19,20]. However, for the lower spectral radius, disproof of the finiteness conjecture was found to be even easier [12,21] than for the generalized spectral radius.…”
Section: Introductionmentioning
confidence: 98%
“…This is indeed the case from the theoretical point of view. However, in practice it is rather difficult, if at all possible, to calculate in a closed formula form the limits in (3) and (5), see, e.g., numerous negative results in [14][15][16][17][18][19]. This implies the need to make use of approximate computational methods.…”
Section: Introductionmentioning
confidence: 99%