2011
DOI: 10.1007/s00222-011-0361-4
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Operator renewal theory and mixing rates for dynamical systems with infinite measure

Abstract: We develop a theory of operator renewal sequences in the context of infinite ergodic theory. For large classes of dynamical systems preserving an infinite measure, we determine the asymptotic behaviour of iterates L n of the transfer operator. This was previously an intractable problem.Examples of systems covered by our results include (i) parabolic rational maps of the complex plane and (ii) (not necessarily Markovian) nonuniformly expanding interval maps with indifferent fixed points.In addition, we give a p… Show more

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Cited by 67 publications
(247 citation statements)
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References 46 publications
(121 reference statements)
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“…As shown in [23], the above results on T n extend to similar results on L n associated with a large class of systems preserving an infinite measure. We recall that previous to the results in [23] via operator renewal techniques, Thaler [31] obtained first order asymptotics of L n for a rather restrictive class of dynamical systems, which applies to reasonably large classes of systems (similar to the family of maps (1.2) recalled in Section 1.3) just in the case β = 1.…”
Section: Higher Order Asymptotics Of Operator Renewal Sequences For Isupporting
confidence: 58%
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“…As shown in [23], the above results on T n extend to similar results on L n associated with a large class of systems preserving an infinite measure. We recall that previous to the results in [23] via operator renewal techniques, Thaler [31] obtained first order asymptotics of L n for a rather restrictive class of dynamical systems, which applies to reasonably large classes of systems (similar to the family of maps (1.2) recalled in Section 1.3) just in the case β = 1.…”
Section: Higher Order Asymptotics Of Operator Renewal Sequences For Isupporting
confidence: 58%
“…The only other previous results on higher order asymptotic for scalar renewal sequences are contained in [23,27] and do not address the regime β ∈ (0, 1/2]. Also, we note that Theorem 1.1 improves the error terms in [23,27] for the range β ∈ (1/2, 1).…”
Section: Remark 12mentioning
confidence: 86%
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