2018
DOI: 10.1088/1361-6544/aadc03
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Large deviation for return times

Abstract: We prove a large deviation result for return times of the orbits of a dynamical system in a r-neighbourhood of an initial point x. Our result may be seen as a differentiable version of the work by Jain and Bansal who considered the return time of a stationary and ergodic process defined in a space of infinite sequences.

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Cited by 11 publications
(16 citation statements)
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References 17 publications
(27 reference statements)
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“…In this paper we have explored the relations between the spectrum of generalized dimensions D q and the recurrence properties of the dynamics. In fact, the former determines the large deviations of dynamical quantities such as return times [29] and hitting times: [21] and Proposition 2 herein. The statistics of hitting times ruled by Proposition 1 also opens the way to new techniques to estimate generalized dimensions via recurrence properties.…”
Section: Discussion and Perspectivesmentioning
confidence: 86%
See 3 more Smart Citations
“…In this paper we have explored the relations between the spectrum of generalized dimensions D q and the recurrence properties of the dynamics. In fact, the former determines the large deviations of dynamical quantities such as return times [29] and hitting times: [21] and Proposition 2 herein. The statistics of hitting times ruled by Proposition 1 also opens the way to new techniques to estimate generalized dimensions via recurrence properties.…”
Section: Discussion and Perspectivesmentioning
confidence: 86%
“…x = z. The first return time enjoys exponential large deviations, namely it was proven in [29] that:…”
Section: Definitions and Review Of Related Literaturementioning
confidence: 99%
See 2 more Smart Citations
“…The latter manifest themselves on small, but not negligible, scales, a regime which we called penultimate [16]. The presence of large deviations for the point-wise dimensions has been rigorously proved for conformal repellers 13 in the paper [19]. Suppose we have an exact dimensional measure µ, call D 1 the µ-almost sure limit, and suppose that the following limit exists (55) D…”
Section: Large Deviationsmentioning
confidence: 99%