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Hausdorff dimension in inhomogeneous Diophantine approximation

Number Theory · Submitted 26 May 2018

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We show that the set of $\epsilon$-badly approximable numbers \[ \mathrm{Bad}^\varepsilon (\alpha) := \{x\in [0,1]\, : \, \liminf_{|q| \to \infty} |q| \cdot \| q\alpha -x \| \geq \varepsilon \} \] has full Hausdorff dimension for some positive $\epsilon$ if and only if $\alpha$ is singular on average.

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arXiv ID1805.10436 (version 1)
Pith IDORJLD37N, Pith's permanent record of this paper and its review
CitationDong Han Kim, Micha{\l} Rams, Seonhee Lim, Yann Bugeaud. "Hausdorff dimension in inhomogeneous Diophantine approximation." arXiv:1805.10436 (2018). https://pith.science/paper/ORJLD37N
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,852 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.69 · human participants 0.01 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.28 · compares with prior results 0.11 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Let $\alpha$ be an irrational real number. We show that the set of $\epsilon$-badly approximable numbers \[ \mathrm{Bad}^\varepsilon (\alpha) := \{x\in [0,1]\, : \, \liminf_{|q| \to \infty} |q| \cdot \| q\alpha -x \| \geq \varepsilon \} \] has full Hausdorff dimension for some positive $\epsilon$ if and only if $\alpha$ is singular on average. The condition is equivalent to the average $\frac{1}{k} \sum_{i=1, \cdots, k} \log a_i$ of the logarithms of the partial quotients $a_i$ of $\alpha$ going to infinity with $k$. We also consider one-sided approximation, obtain a stronger result when $a_i$ tends to infinity, and establish a partial result in higher dimensions.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Let $\alpha$ be an irrational real number. background 0.99 0.05 0.01 asserted 0.53
s1 We show that the set of $\epsilon$-badly approximable numbers \[ \mathrm{Bad}^\varepsilon (\alpha) := \{x\in [0,1]\, : \, \liminf_{|q| \to \infty} |q| \cdot \| q\alpha -x \| \geq \varepsilon \} \] has full Hausdorff dimension for some positive $\epsilon$ if and only if $\alpha$ is singular on average. result 0.99 0.95 0.93 asserted 1.00
s2 The condition is equivalent to the average $\frac{1}{k} \sum_{i=1, \cdots, k} \log a_i$ of the logarithms of the partial quotients $a_i$ of $\alpha$ going to infinity with $k$. interpretation 0.51 0.68 0.09 asserted 1.00
s3 We also consider one-sided approximation, obtain a stronger result when $a_i$ tends to infinity, and establish a partial result in higher dimensions. contribution 0.82 0.95 0.04 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from proof or derivation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Let $\alpha$ be an irrational real number. We show that the set of $\epsilon$-badly approximable numbers \[ \mathrm{Bad}^\varepsilon (\alpha) := \{x\in [0,1]\, : \, \liminf_{|q| \to \infty} |q| \cdot \| q\alpha -x \| \geq \varepsilon \} \] has full Hausdorff dimension for some positive $\epsilon$ if and only if $\alpha$ is singular on average. The condition is equivalent to the average $\frac{1}{k} \sum_{i=1, \cdots, k} \log a_i$ of the logarithms of the partial quotients $a_i$ of $\alpha$ going to infinity with $k$. We also consider one-sided approximation, obtain a stronger result when $a_i$ tends to infinity, and establish a partial result in higher dimensions.

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1 arXiv paper cite this in 6 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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