2016
DOI: 10.1090/tran/6770
|View full text |Cite
|
Sign up to set email alerts
|

Angles in hyperbolic lattices: The pair correlation density

Abstract: Abstract. It is well known that the angles in a lattice acting on hyperbolic nspace become equidistributed. In this paper we determine a formula for the pair correlation density for angles in such hyperbolic lattices. Using this formula we determine, among other things, the asymptotic behavior of the density function in both the small and large variable limits. This extends earlier results by Boca, Paşol, Popa and Zaharescu and Kelmer and Kontorovich in dimension 2 to general dimension n. Our proofs use the de… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
12
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 13 publications
(13 citation statements)
references
References 29 publications
1
12
0
Order By: Relevance
“…Herein we will answer these questions and give a full characterisation of the spatial statistics of such a point set as viewed from a fixed observer in hyperbolic space or its boundary. These questions have been addressed previously for lattices [1,7,13,20], and for certain thin groups [26,27]. However we will treat a much more general class of subgroups in arbitrary dimension.…”
Section: Introductionmentioning
confidence: 90%
“…Herein we will answer these questions and give a full characterisation of the spatial statistics of such a point set as viewed from a fixed observer in hyperbolic space or its boundary. These questions have been addressed previously for lattices [1,7,13,20], and for certain thin groups [26,27]. However we will treat a much more general class of subgroups in arbitrary dimension.…”
Section: Introductionmentioning
confidence: 90%
“…We let Ω n i,j,k (w, , l, s; T ) be the collection of (t, θ) which satisfies (14), (15), (16), (17), (18) and (20). It's clear that Ω n i,j,k (w, , l, s; T ) = 2 log T + Ω n i,j,k (w, , l, s; 0).…”
Section: Analyzing the Gap Distribution Functionmentioning
confidence: 99%
“…The recent work of Risager and Södergren [13] extends the effective convergence of the 2-point correlation function in [8] to arbitrary dimension n 2; it also includes an explicit formula for the limit in dimension n = 3. The analysis in [13] is restricted to the 2-point correlations of distances between the projected points on S n−1 . The approach presented here yields 2-point (as well as higher order) correlations of both distances and relative orientation, as we permit test sets that are not rotationally invariant.…”
Section: Introductionmentioning
confidence: 99%