arXiv:2112.04144v3

On Hausdorff dimension in inhomogeneous Diophantine approximation over global function fields

Taehyeong Kim, Seonhee Lim, Frédéric Paulin

math.NTmath.DS11J6111K5528D2037A1722F30

Abstract

In this paper, we study inhomogeneous Diophantine approximation over the completion KvK_v of a global function field KK (over a finite field) for a discrete valuation vv, with affine algebra RvR_v. We obtain an effective upper bound for the Hausdorff dimension of the set BadA(ε)={θKvm:lim inf(p,q)Rvm×Rvn,qqnAqθpmε}, \mathbf{Bad}_A(ε)=\left\{\boldsymbolθ\in K_v^{\,m} : \liminf_{(\mathbf{p},\mathbf{q})\in R_v^{\,m} \times R_v^{\,n}, \|\mathbf{q}\|\to \infty} \|\mathbf{q}\|^n \|A\mathbf{q}-\boldsymbolθ-\mathbf{p}\|^m \geq ε\right\}, of εε-badly approximable targets θKvm\boldsymbolθ\in K_v^{\,m} for a fixed matrix AMm,n(Kv)A\in\mathscr{M}_{m,n}(K_v), using an effective version of entropy rigidity in homogeneous dynamics for an appropriate diagonal action on the space of RvR_v-grids. We further characterize matrices AA for which BadA(ε)\mathbf{Bad}_A(ε) has full Hausdorff dimension for some ε>0ε>0 by a Diophantine condition of singularity on average. Our methods also work for the approximation using weighted ultrametric distances.

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Audited against arXiv v3

Not a correctness certificate. A “Correct” result may include yellow typos or minor formal corrections that do not affect substantive soundness. It means this audit found no unresolved substantive error under the stated criteria; it does not replace expert scrutiny or formal verification.

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Detailed mathematical audit

Generated August 19, 2026
01Statements3 reported findingsCorrect

The singular-on-average characterization of full-dimensional inhomogeneous badly approximable targets and the effective dimension deficit are correct, with one local correction to the displayed epsilon range.

Theorem 1.1Correct

The full-dimension characterization is correct

Pages 3–4 and 14–39 · Theorem 1.1 · arXiv:2112.04144v3

Singularity on average supplies long blocks of best approximations from which the Cantor construction produces a full-dimensional set of bad targets. Conversely, the dynamical measure construction and escape-of-mass parameter imply a strict dimension deficit whenever the matrix is not singular on average, ruling out full dimension.

Full paper, version 3
Theorem 1.2Minor formal correction

The effective formula needs the range 0<ε<10<\varepsilon<1

Page 4 · Theorem 1.2; pages 49–52 · its proof · arXiv:2112.04144v3

The theorem says ‘for every ε>0\varepsilon>0’ but displays mc(A)εr/ln(1/ε)m-c(A)\varepsilon^{|\mathbf r|}/\ln(1/\varepsilon), which is undefined at ε=1\varepsilon=1. The proof fixes 0<ε10<\varepsilon\leq1 and its final logarithmic estimate is valid for 0<ε<10<\varepsilon<1. State the effective inequality for 0<ε<10<\varepsilon<1; values ε>1\varepsilon>1 give only a trivial upper bound when the displayed expression is defined. This local range correction affects no application.

Theorem 1.2Correct

The effective dimension deficit is correct in its operative range

Pages 39–52 · entropy-rigidity argument for Theorem 1.2 · arXiv:2112.04144v3

The invariant measure constructed from a high-dimensional bad-target set retains mass 1ηA1-\eta_A in the homogeneous space. The conditional-entropy deficit is bounded below by a constant multiple of εr/ln(1/ε)\varepsilon^{|\mathbf r|}/\ln(1/\varepsilon), and the variational inequality converts that deficit to the claimed Hausdorff codimension.

02Proofs2 reported findingsCorrect

The geometry-of-numbers, best-approximation, fractal, dynamical, and entropy arguments are correct and complete in the corrected parameter range.

Sections 3–7Correct and complete

The singular-on-average and Cantor arguments close

Pages 8–39 · Sections 3–7 · arXiv:2112.04144v3

The weighted transference bounds control successive best approximations, the singular-on-average criterion supplies the required density of favorable levels, and the child counts and separations give full Hausdorff dimension for a fixed positive badness parameter.

Sections 8–10Correct and complete

The entropy deficit yields the effective upper bound

Pages 39–52 · Sections 8–10 · arXiv:2112.04144v3

The measure decomposition records exactly the nonescaping mass, subordinate partitions are used within their injectivity radii, and the conditional-measure estimate has the required dependence on ε\varepsilon. The final ceiling estimates preserve the power r|\mathbf r| and contribute only the stated logarithm.

03Novelty0 reported findingsNo non-novelty findings

No non-novelty findings.

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Paper
arXiv:2112.04144v3
Authors listed
Taehyeong Kim, Seonhee Lim, Frédéric Paulin
Audit date
August 19, 2026
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