2014
DOI: 10.1112/plms/pdu058
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Continuity properties of the lower spectral radius

Abstract: The lower spectral radius, or joint spectral subradius, of a set of real d × d matrices is defined to be the smallest possible exponential growth rate of long products of matrices drawn from that set. The lower spectral radius arises naturally in connection with a number of topics including combinatorics on words, the stability of linear inclusions in control theory, and the study of random Cantor sets. In this article we apply some ideas originating in the study of dominated splittings of linear cocycles over… Show more

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Cited by 36 publications
(64 citation statements)
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“…Indeed, the examples of discontinuity of r q in Theorem 1.3(i) and (ii) correspond directly with known examples of the discontinuity of the lower spectral radius, specifically Example 1.1 and Proposition 7.6 in [7]. In the context of Theorem 1.3(i) we can obtain sufficient control on the size of the discontinuity in ̺ without any assumptions on p and q.…”
Section: Proof Of Theorem 13mentioning
confidence: 99%
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“…Indeed, the examples of discontinuity of r q in Theorem 1.3(i) and (ii) correspond directly with known examples of the discontinuity of the lower spectral radius, specifically Example 1.1 and Proposition 7.6 in [7]. In the context of Theorem 1.3(i) we can obtain sufficient control on the size of the discontinuity in ̺ without any assumptions on p and q.…”
Section: Proof Of Theorem 13mentioning
confidence: 99%
“…The lower spectral radius is known to depend discontinuously on the matrix entries in general [20, p. 20], and this phenomenon was investigated in depth by the author and Bochi in [7]. This relates to R q (A 1 , A 2 , p, s) as follows: if 0 < s ≤ 1 then we may estimate…”
Section: Proof Of Theorem 13mentioning
confidence: 99%
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“…The first explicit counterexample to the finiteness conjecture was built in [16], while the general methods of constructing of such a type of counterexamples were presented recently in [17,18]. 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: 99%