Henna Koivusalo, Jason Levesley, Benjamin Ward, Xintian Zhang
{"title":"The Dimension of the Set of $\\psi $-Badly Approximable Points in All Ambient Dimensions: On a Question of Beresnevich and Velani","authors":"Henna Koivusalo, Jason Levesley, Benjamin Ward, Xintian Zhang","doi":"10.1093/imrn/rnae101","DOIUrl":null,"url":null,"abstract":"Let $\\psi :{\\mathbb{N}} \\to [0,\\infty )$, $\\psi (q)=q^{-(1+\\tau )}$ and let $\\psi $-badly approximable points be those vectors in ${\\mathbb{R}}^{d}$ that are $\\psi $-well approximable, but not $c\\psi $-well approximable for arbitrarily small constants $c>0$. We establish that the $\\psi $-badly approximable points have the Hausdorff dimension of the $\\psi $-well approximable points, the dimension taking the value $(d+1)/(\\tau +1)$ familiar from theorems of Besicovitch and Jarník. The method of proof is an entirely new take on the Mass Transference Principle (MTP) by Beresnevich and Velani (Annals, 2006); namely, we use the colloquially named “delayed pruning” to construct a sufficiently large $\\liminf $ set and combine this with ideas inspired by the proof of the MTP to find a large $\\limsup $ subset of the $\\liminf $ set. Our results are a generalisation of some $1$-dimensional results due to Bugeaud and Moreira (Acta Arith, 2011), but our method of proof is nothing alike.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1093/imrn/rnae101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Let $\psi :{\mathbb{N}} \to [0,\infty )$, $\psi (q)=q^{-(1+\tau )}$ and let $\psi $-badly approximable points be those vectors in ${\mathbb{R}}^{d}$ that are $\psi $-well approximable, but not $c\psi $-well approximable for arbitrarily small constants $c>0$. We establish that the $\psi $-badly approximable points have the Hausdorff dimension of the $\psi $-well approximable points, the dimension taking the value $(d+1)/(\tau +1)$ familiar from theorems of Besicovitch and Jarník. The method of proof is an entirely new take on the Mass Transference Principle (MTP) by Beresnevich and Velani (Annals, 2006); namely, we use the colloquially named “delayed pruning” to construct a sufficiently large $\liminf $ set and combine this with ideas inspired by the proof of the MTP to find a large $\limsup $ subset of the $\liminf $ set. Our results are a generalisation of some $1$-dimensional results due to Bugeaud and Moreira (Acta Arith, 2011), but our method of proof is nothing alike.