arXiv:2112.04144v3
Abstract
In this paper, we study inhomogeneous Diophantine approximation over the completion of a global function field (over a finite field) for a discrete valuation , with affine algebra . We obtain an effective upper bound for the Hausdorff dimension of the set of -badly approximable targets for a fixed matrix , using an effective version of entropy rigidity in homogeneous dynamics for an appropriate diagonal action on the space of -grids. We further characterize matrices for which has full Hausdorff dimension for some by a Diophantine condition of singularity on average. Our methods also work for the approximation using weighted ultrametric distances.
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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.
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 ↗The effective formula needs the range
Page 4 · Theorem 1.2; pages 49–52 · its proof · arXiv:2112.04144v3
The theorem says ‘for every ’ but displays , which is undefined at . The proof fixes and its final logarithmic estimate is valid for . State the effective inequality for ; values give only a trivial upper bound when the displayed expression is defined. This local range correction affects no application.
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 in the homogeneous space. The conditional-entropy deficit is bounded below by a constant multiple of , 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.
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.
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 . The final ceiling estimates preserve the power and contribute only the stated logarithm.
03Novelty0 reported findingsNo non-novelty findings
No non-novelty findings.