Shrinking targets versus recurrence: the quantitative theory

Abstract

Let $X = [0,1]$, and let $T:X\to X$ be an expanding piecewise linear map sending each interval of linearity to $[0,1]$. For $ψ:\mathbb N\to\mathbb R_{\geq 0}$, $x\in X$, and $N\in\mathbb N$ we consider the recurrence counting function \[ R(x,N;T,ψ) := \#\{1\leq n\leq N: d(T^n x, x) < ψ(n)\}. \] We show that for any $\varepsilon > 0$ we have \[ R(x,N;T,ψ) = Ψ(N)+O\left(Ψ^{1/2}(N) \ (\logΨ(N))^{3/2+\varepsilon}\right) \] for $μ$-almost all $x\in X$ and for all $N\in\mathbb N$, where $Ψ(N):= 2 \sum_{n=1}^N ψ(n)$. We also prove a generalization of this result to higher dimensions.

Theorems & Definitions (18)

• Theorem 1.1
• Theorem 1.2
• Remark 2.1
• Theorem 2.2
• Theorem 2.3
• Remark 2.4
• Lemma 3.1
• Remark 3.2
• Proposition 3.3
• Proposition 3.4