Central limit theorems for lattice point counting on tessellated domains
Sourav Das

TL;DR
This paper proves that the normalized discrepancy in lattice point counting on tessellated domains, including affine and congruence cases, follows a non-degenerate central limit theorem, using cumulants and mixing estimates.
Contribution
It extends central limit theorems for lattice point counting to tessellated domains and affine and congruence settings, providing new probabilistic results.
Findings
Normalized discrepancy functions satisfy a non-degenerate CLT
Results apply to tessellated, affine, and congruence lattice counting
Uses cumulants and mixing estimates in proofs
Abstract
Following the approach of Bjrklund and Gorodnik, we have considered the discrepancy function for lattice point counting on domains that can be nicely tessellated by the action of a diagonal semigroup. We have shown that suitably normalized discrepancy functions for lattice point counting on certain tessellated domains satisfy a non-degenerate central limit theorem. Furthermore, we have also addressed the same problem for affine and congruence lattice point counting, proving analogous non-degenerate central limit theorems for them. The main ingredients of the proofs are the method of cumulants and quantitative multiple mixing estimates.
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Taxonomy
TopicsMathematical Dynamics and Fractals · advanced mathematical theories · Functional Equations Stability Results
