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Rational approximation with chosen numerators

Manuel Hauke, Emmanuel Kowalski

TL;DR

The paper investigates how well real numbers can be approximated by rationals with prime denominators and a single fixed numerator per denominator, introducing the sets $\\mathscr{A}(\\bm{a},c)$ and $\\mathscr{A}(\\bm{a})$ and analyzing both probabilistic (random $\\bm{a}$) and deterministic constructions. It proves that for almost all sequences $\\bm{a}$, the full-measure property $\\lambda(\\mathscr{A}(\\bm{a}))=1$ holds, and constructs explicit deterministic sequences (a greedy sequence and sequences tied to Diophantine properties of $\\beta$) with the same feature; these results connect to twisted Diophantine approximation and yield Hausdorff-dimension statements for exceptional sets. The work also demonstrates applications to trace-function ergodic averages, showing convergence along sparse subsequences and non-convergence along all primes in certain regimes, and it develops a sieve-analytic perspective on the coverage problem. The combination of probabilistic, deterministic, and Diophantine-approximation methods, together with the Cantor-set approach to Hausdorff dimensions, provides a comprehensive view of how numerical representations with restricted denominators interact with distributional and dimension-theoretic properties. The findings have implications for equidistribution, trace-function dynamics, and the structure of exceptional sets in metric Diophantine problems.

Abstract

We consider the problem of approaching real numbers with rational numbers with prime denominator and with a single numerator allowed for each denominator. We obtain basic results, both probabilistic and deterministic, draw connections to twisted diophantine approximation, and present a simple application, related to possible correlations between trace functions and dynamical sequences.

Rational approximation with chosen numerators

TL;DR

The paper investigates how well real numbers can be approximated by rationals with prime denominators and a single fixed numerator per denominator, introducing the sets and and analyzing both probabilistic (random ) and deterministic constructions. It proves that for almost all sequences , the full-measure property holds, and constructs explicit deterministic sequences (a greedy sequence and sequences tied to Diophantine properties of ) with the same feature; these results connect to twisted Diophantine approximation and yield Hausdorff-dimension statements for exceptional sets. The work also demonstrates applications to trace-function ergodic averages, showing convergence along sparse subsequences and non-convergence along all primes in certain regimes, and it develops a sieve-analytic perspective on the coverage problem. The combination of probabilistic, deterministic, and Diophantine-approximation methods, together with the Cantor-set approach to Hausdorff dimensions, provides a comprehensive view of how numerical representations with restricted denominators interact with distributional and dimension-theoretic properties. The findings have implications for equidistribution, trace-function dynamics, and the structure of exceptional sets in metric Diophantine problems.

Abstract

We consider the problem of approaching real numbers with rational numbers with prime denominator and with a single numerator allowed for each denominator. We obtain basic results, both probabilistic and deterministic, draw connections to twisted diophantine approximation, and present a simple application, related to possible correlations between trace functions and dynamical sequences.

Paper Structure

This paper contains 12 sections, 28 theorems, 177 equations, 1 algorithm.

Key Result

Theorem 1.1

For almost all $\bm{a}\in \Omega$, we have In fact, for fixed $c\in ]0,{{\frac{1}{2}}}]$, and for almost all $\bm{a}\in\Omega$, there exists a set $S\subset [0,1]$ of Lebesgue measure $1$ such that for $x\in S$, for $\varepsilon>0$, and for $X\geqslant 2$, we have

Theorems & Definitions (51)

  • Theorem 1.1
  • Corollary 1.2
  • Theorem 1.3
  • Theorem 1.4
  • Definition 1.5
  • Remark 1.6
  • Theorem 1.7
  • Theorem 1.8
  • Theorem 1.9
  • Remark 1.10
  • ...and 41 more