A uniform semi-local limit theorem along sets of multiples for sums of i.i.d. random variables
Michel J. G. Weber

TL;DR
This paper establishes uniform semi-local limit theorems for sums of i.i.d. lattice-valued random variables along sets of multiples, providing precise bounds and convergence rates for probabilities related to divisibility and residue classes.
Contribution
It introduces new uniform semi-local limit theorems along sets of multiples for sums of lattice-valued i.i.d. variables, with explicit error bounds and convergence rates.
Findings
Derived bounds for probability deviations in divisibility events
Established convergence rates for sums along residue classes
Provided uniform estimates over divisibility sets
Abstract
Let be a square integrable random variable with basic probability space , taking values in a lattice and such that . Let , be independent, identically distributed random variables having same law than , and let , for each . Let be such that verifies , noting that always. Further let , and be such that . We prove the following uniform semi-local theorems for the class , where . \noi(i) There exists with , and such that for , \begin{align*} \sup_{u\ge 0}\,\sup_{d\ge 2} \Big| \P \{…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Geometry and complex manifolds · Mathematical Dynamics and Fractals
