2017
DOI: 10.48550/arxiv.1709.00527
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Markov partition and Thermodynamic Formalism for Hyperbolic Systems with Singularities

Jianyu Chen,
Fang Wang,
Hong-Kun Zhang

Abstract: For 2-d hyperbolic systems with singularities, statistical properties are rather difficult to establish because of the fragmentation of the phase space by singular curves. In this paper, we construct a Markov partition of the phase space with countable states for a general class of hyperbolic systems with singularities. Stochastic properties with respect to the SRB measure immediately follow from our construction of the Markov partition, including the decay rates of correlations and the central limit theorem. … Show more

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Cited by 6 publications
(8 citation statements)
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“…Proof of Theorem 8. Under the assumptions 1-5, the limit map F∞ satisfies the conditions of [3] and thus it admits a Young tower with exponential tail. We recall from §3.2 that F∞ well approximates the original collision map F at infinity.…”
Section: Proofs Of Theorems 3 Andmentioning
confidence: 99%
“…Proof of Theorem 8. Under the assumptions 1-5, the limit map F∞ satisfies the conditions of [3] and thus it admits a Young tower with exponential tail. We recall from §3.2 that F∞ well approximates the original collision map F at infinity.…”
Section: Proofs Of Theorems 3 Andmentioning
confidence: 99%
“…The first return map in the examples considered here is nonuniformly hyperbolic, modelled by a Young tower with exponential tails, so [27] does not apply directly. In a recent preprint, [10] have announced the existence of a uniformly hyperbolic first return. This combined with [27] may yield the asymptotic (9.19).…”
Section: Lower Boundsmentioning
confidence: 99%
“…Proof of Theorem 8. Under Assumptions 1-5, the limit map F∞ satisfies the conditions of [3], thus it admits a Young tower with exponential tail. We recall from Section 3.2 that F∞ well approximates the original collision map F at infinity.…”
Section: Exponential Decay Of Correlations Clt and Global Global Mixingmentioning
confidence: 99%