Quantitative Matrix-Driven Diophantine approximation on $M_0$-sets

Fuente: arXiv
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Main Authors: Tan, Bo, Zhou, Qing-Long
Format: Preprint
Published: 2025
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author Tan, Bo
Zhou, Qing-Long
author_facet Tan, Bo
Zhou, Qing-Long
contents Let $E\subset [0,1)^{d}$ be a set supporting a probability measure $μ$ with Fourier decay $|\widehatμ({\bf{t}})|\ll (\log |{\bf{t}}|)^{-s}$ for some constant $s>d+1.$ Consider a sequence of expanding integral matrices $\mathcal{A}=(A_n)_{n\in\N}$ such that the minimal singular values of $A_{n+1}A_{n}^{-1}$ are uniformly bounded below by $K>1$. We prove a quantitative Schmidt-type counting theorem under the following constraints: (1) the points of interest are restricted to $E$; (2) the denominators of the ``shifted'' rational approximations are drawn exclusively from $\mathcal{A}$. Our result extends the work of Pollington, Velani, Zafeiropoulos, and Zorin (2022) to the matrix setting, advancing the study of Diophantine approximation on fractals. Moreover, it strengthens the equidistribution property of the sequence $(A_n{\bf x})_{n\in\N}$ for $μ$-almost every ${\bf x}\in E.$ Applications include the normality of vectors and shrinking target problems on fractal sets.
format Preprint
id arxiv_https___arxiv_org_abs_2504_21555
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Quantitative Matrix-Driven Diophantine approximation on $M_0$-sets
Tan, Bo
Zhou, Qing-Long
Number Theory
28A80, 11J83
Let $E\subset [0,1)^{d}$ be a set supporting a probability measure $μ$ with Fourier decay $|\widehatμ({\bf{t}})|\ll (\log |{\bf{t}}|)^{-s}$ for some constant $s>d+1.$ Consider a sequence of expanding integral matrices $\mathcal{A}=(A_n)_{n\in\N}$ such that the minimal singular values of $A_{n+1}A_{n}^{-1}$ are uniformly bounded below by $K>1$. We prove a quantitative Schmidt-type counting theorem under the following constraints: (1) the points of interest are restricted to $E$; (2) the denominators of the ``shifted'' rational approximations are drawn exclusively from $\mathcal{A}$. Our result extends the work of Pollington, Velani, Zafeiropoulos, and Zorin (2022) to the matrix setting, advancing the study of Diophantine approximation on fractals. Moreover, it strengthens the equidistribution property of the sequence $(A_n{\bf x})_{n\in\N}$ for $μ$-almost every ${\bf x}\in E.$ Applications include the normality of vectors and shrinking target problems on fractal sets.
title Quantitative Matrix-Driven Diophantine approximation on $M_0$-sets
topic Number Theory
28A80, 11J83
url https://arxiv.org/abs/2504.21555