Congruence counting in Schottky and continued fractions semigroups of $\operatorname{SO}(n, 1)$
Pratyush Sarkar
TL;DR
The paper develops a uniform counting theory for congruence subsemigroups in two hyperbolic-group settings: a Zariski-dense Schottky semigroup in $SO(n,1)$ and a Zariski-dense continued fractions semigroup in $SL_2(\mathbb{C})$. It combines Dolgopyat-type oscillatory methods with Golsefidy–Varjú expander machinery to achieve uniform spectral bounds for congruence transfer operators, tackling high-dimensional challenges via Zariski-density of return trajectory subgroups, full trace fields, LNIC, and NCP. The core contribution is a uniform asymptotic formula for counts in level $q$ congruence subsemigroups, derived by translating spectral bounds into a congruence renewal framework and then to asymptotic counts. This advances Diophantine counting questions in higher dimensions and connects Zaremba-type problems to transfer-operator methods in non-abelian, higher-rank settings, with potential applications to uniform distribution problems in hyperbolic geometry and continued fractions theory.
Abstract
In this paper, the two settings we are concerned with are $Γ< \operatorname{SO}(n, 1)$ a Zariski dense Schottky semigroup and $Γ< \operatorname{SL}_2(\mathbb C)$ a Zariski dense continued fractions semigroup. In both settings, we prove a uniform asymptotic counting formula for the associated congruence subsemigroups, generalizing the work of Magee-Oh-Winter [arXiv:1601.03705] in $\operatorname{SL}_2(\mathbb R)$ to higher dimensions. Superficially, the proof requires two separate strategies: the expander machinery of Golsefidy-Varjú, based on the work of Bourgain-Gamburd-Sarnak, and Dolgopyat's method. However, there are several challenges in higher dimensions. Firstly, using the expander machinery requires a key input: the Zariski density and full trace field property of the return trajectory subgroups, newly introduced in [arXiv:2006.07787]. Secondly, we need to adapt Stoyanov's version of Dolgopyat's method to circumvent some technical issues while the main difficulty is to prove the key inputs: the local non-integrability condition (LNIC) and the non-concentration property (NCP).
