The dimension of the set of $\psi$-badly approximable points in all ambient dimensions; on a question of Beresnevich and Velani
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 p...
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creator | Koivusalo, Henna Levesley, Jason Ward, Benjamin Zhang, Xintian |
description | 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 Jarn\'ik. The method of proof is an entirely new take on the
Mass Transference Principle 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
Mass Transference Principle 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. |
doi_str_mv | 10.48550/arxiv.2310.01947 |
format | Article |
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$\psi$-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 Jarn\'ik. The method of proof is an entirely new take on the
Mass Transference Principle 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
Mass Transference Principle 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.</description><identifier>DOI: 10.48550/arxiv.2310.01947</identifier><language>eng</language><subject>Mathematics - Number Theory</subject><creationdate>2023-10</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2310.01947$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2310.01947$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Koivusalo, Henna</creatorcontrib><creatorcontrib>Levesley, Jason</creatorcontrib><creatorcontrib>Ward, Benjamin</creatorcontrib><creatorcontrib>Zhang, Xintian</creatorcontrib><title>The dimension of the set of $\psi$-badly approximable points in all ambient dimensions; on a question of Beresnevich and Velani</title><description>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 Jarn\'ik. The method of proof is an entirely new take on the
Mass Transference Principle 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
Mass Transference Principle 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.</description><subject>Mathematics - Number Theory</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpFkD1rwzAQhrV0KGl_QKfekNWpPyOJTm3oFwS6mE4Fc5ZORCDLruWGZOpfj_IBHY73eIeHu4exuyxdlKKq0gccd3a7yItYpJks-TX7qzcE2nbkg-099AamWASajuv8ewh2nrSo3R5wGMZ-ZztsHcHQWz8FsB7QOcCuteSnf054hAhD-PmlMF24zzRS8LS1agPoNXyRQ29v2JVBF-j2kjNWv77Uq_dk_fn2sXpaJ7jkPBGqivcaWQhJGEdIiYQlKtmqquRacFxqoTMjMlRZLiQ3RhmVC9MS5aYqZuz-jD0ZaIYx_jHum6OJ5mSiOAB8z1te</recordid><startdate>20231003</startdate><enddate>20231003</enddate><creator>Koivusalo, Henna</creator><creator>Levesley, Jason</creator><creator>Ward, Benjamin</creator><creator>Zhang, Xintian</creator><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20231003</creationdate><title>The dimension of the set of $\psi$-badly approximable points in all ambient dimensions; on a question of Beresnevich and Velani</title><author>Koivusalo, Henna ; Levesley, Jason ; Ward, Benjamin ; Zhang, Xintian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a677-8c5019f9389ea89e899aea4ac9bc547d87a6d8d1f81ac12897ffcfc28fbee2f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Mathematics - Number Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Koivusalo, Henna</creatorcontrib><creatorcontrib>Levesley, Jason</creatorcontrib><creatorcontrib>Ward, Benjamin</creatorcontrib><creatorcontrib>Zhang, Xintian</creatorcontrib><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Koivusalo, Henna</au><au>Levesley, Jason</au><au>Ward, Benjamin</au><au>Zhang, Xintian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The dimension of the set of $\psi$-badly approximable points in all ambient dimensions; on a question of Beresnevich and Velani</atitle><date>2023-10-03</date><risdate>2023</risdate><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 Jarn\'ik. The method of proof is an entirely new take on the
Mass Transference Principle 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
Mass Transference Principle 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.</abstract><doi>10.48550/arxiv.2310.01947</doi><oa>free_for_read</oa></addata></record> |
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subjects | Mathematics - Number Theory |
title | The dimension of the set of $\psi$-badly approximable points in all ambient dimensions; on a question of Beresnevich and Velani |
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