2021
DOI: 10.3934/jmd.2021014
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Shrinking targets for the geodesic flow on geometrically finite hyperbolic manifolds

Abstract: <p style='text-indent:20px;'>Let <inline-formula><tex-math id="M1">\begin{document}$ \mathscr{M} $\end{document}</tex-math></inline-formula> be a geometrically finite hyperbolic manifold. We present a very general theorem on the shrinking target problem for the geodesic flow, using its exponential mixing. This includes a strengthening of Sullivan's logarithm law for the excursion rate of the geodesic flow. More generally, we prove logarithm laws for the first hitting time for shr… Show more

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Cited by 10 publications
(11 citation statements)
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“…The shrinking target problems for sets with complicated geometry is discussed in [69,70,72,98,99,100,135,140].…”
Section: Recurrence In Configuration Spacementioning
confidence: 99%
“…The shrinking target problems for sets with complicated geometry is discussed in [69,70,72,98,99,100,135,140].…”
Section: Recurrence In Configuration Spacementioning
confidence: 99%
“…Then, by (12) there exist g ∈ G such that x = gΓ, 1 ≤ i ≤ q, k ∈ K, and u ∈ U , such that (16) g = ka −R ug i .…”
Section: Thick-thin Decomposition and The Height Functionmentioning
confidence: 99%
“…In [16], Kelmer and Oh showed a strengthening of the above, considering excursion to individual cusps and obtaining a limit for the shrinking target problem of the geodesic flow. Note also that the result stated in [16] is for x ∈ T 1 (G/Γ), but since the distance function there is assumed to be K-invariant, where H n = K\G, and the set C 0 is K-invariant as well (see §2.2), we can deduce the form above. It follows from (3) that the limit on the left hand side of ( 2) is zero for almost every point x ∈ G/Γ (with respect to the invariant volume measure) in this case.…”
Section: Introductionmentioning
confidence: 95%
See 1 more Smart Citation
“…Theorem 1.1 and 9.1 are known to have many immediate applications in number theory and geometry. To name a few, see [26] for counting closed geodesics and [22] for shrinking target problems.…”
Section: Introduction 1exponential Mixing Of the Geodesic Flowmentioning
confidence: 99%