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arXiv 1111.1081math.DSmath.CAmath.NT
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马尔可夫映射轨道的丢番图逼近

Diophantine approximation by orbits of Markov maps

Lingmin Liao, Stephane Seuret

摘要:

1995年,Hill和Velani提出了收缩目标理论。给定一个动力系统$([0,1],T)$,他们研究了轨道接近某个不动点的点集的豪斯多夫维数。本文研究了轨道$\{T^n x\}_{n\geq 0}$很好地逼近的点集,其中$T$是由$[0,1]$支持的具有有限划分的扩展Markov映射.这些集的维数描述使用不变吉布斯措施的多重分形性质。

英文摘要:

In 1995, Hill and Velani introduced the shrinking targets theory. Given a dynamical system $([0,1],T)$, they investigated the Hausdorff dimension of sets of points whose orbits are close to some fixed point. In this paper, we study the sets of points well-approximated by orbits $\{T^n x\}_{n\geq 0}$, where $T$ is an expanding Markov map with a finite partition supported by $[0,1]$. The dimensions of these sets are described using the multifractal properties of invariant Gibbs measures.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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