Published paper
Role in dependence graphs
Proof-critical source
Diophantine approximation on abelian varieties; a conjecture of M. Waldschmidt
This paper is included only for the following marked statement:
- Theorem 1 and Lemma 7 · arXiv:math/0405433v3The general full-dimension criterion and local counting estimate used by BHKV.
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Audit summary
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Exact reviewed source
Frozen exact arXiv:math/0405433v3 · final-manuscript fallback
Simon Kristensen, Rebecca Thorn, and Sanju Velani. Diophantine approximation and badly approximable sets. arXiv:math/0405433v3; Advances in Mathematics 203 (2006), 132–169.
The publisher landing page was available but the exact version-of-record full text was not acquired. The report therefore evaluates the authors' exact final arXiv v3 manuscript and does not claim to audit the version of record.
Open audited source ↗01Statements2 reported findingsNo statement issues found
The abstract full-dimension criteria and the advertised number-theoretic and dynamical applications are correct after a verified logical-quantifier repair in the rectangular framework. The ball-case cardinality hypothesis is a lower bound, as printed in Theorem 1.
The ball framework has the correct cardinality direction and yields full dimension
arXiv:math/0405433v3 · §1.3, Theorem 1; proof through §§3–4
The retained-child hypothesis is correctly printed as the lower bound . Removing at most the corresponding proportion leaves a uniformly branching Cantor construction because . The constructed probability measure satisfies the required Frostman estimate, so the mass distribution principle gives dimension tending to as .
Exact final arXiv v3 manuscript ↗The simplex and separation estimates verify the abstract hypotheses in the main examples
arXiv:math/0405433v3 · §5, including the simplex lemma and the real, complex, -adic, formal-series, IFS, rational-map, and Kleinian-group applications
In the simultaneous real case, rational points with comparable denominators in a sufficiently small convex region lie on one affine hyperplane by the determinant lower bound. Counting the next-scale rectangles meeting that hyperplane gives the required bad-child estimate. The later applications use the analogous separation or distortion estimates appropriate to their ambient spaces, with the measure-growth exponents substituted consistently into the abstract theorem.
02Proofs3 reported findingsSuspected incomplete or incorrect proofs
The Cantor-measure proof and application-specific counting arguments are sound, but the rectangular-framework proof repeatedly replaces avoidance of a product neighborhood by coordinatewise avoidance in every coordinate. That equivalence is false as written. A verified repair using an existential coordinate at each resonant set preserves every theorem and application.
Leaving a product neighborhood requires one separated coordinate, not all coordinates
arXiv:math/0405433v3 · §2.1 after the definition of ; §4, condition (C), induction, and completion of proof
For a product neighborhood , the condition means that for each there exists at least one coordinate with . The manuscript instead states several times that the inequality holds for every coordinate. Repair each such displayed all-coordinate claim by the logically equivalent maximum condition The bad-child hypothesis already counts rectangles simultaneously close in all coordinates, so every retained child has the repaired property. For the finitely many small-height resonant sets, compactness and exclusion of their union give a positive minimum of the same maximum. The induction, dimension estimate, and all applications then proceed unchanged.
Exact final arXiv v3 manuscript ↗The lower-dimension estimate is complete after the quantifier repair
arXiv:math/0405433v3 · §§3–4, construction of and the measure
The retained rectangles have uniform branching bounded below by the difference . Equal splitting defines a probability measure. A ball at an intermediate scale meets only a controlled number of children, while the doubling and comparability hypotheses convert this count into . Since , the mass distribution principle yields the claimed lower bound.
The cited terminal principle is applied with the correct inequality
arXiv:math/0405433v3 · §3, Mass Distribution Principle; applied in §4
The source cites Falconer's Fractal Geometry, page 55, for the standard implication from a probability measure satisfying at small scales to . The constructed measure meets exactly this hypothesis.
03Novelty0 reported findingsNo novelty concerns found
No non-novelty findings.