arXiv:math/9912178v1
Abstract
Let be a deterministic dynamical system preserving a probability measure . A dynamical Borel-Cantelli lemma asserts that for certain sequences of subsets and -almost every point the inclusion holds for infinitely many . We discuss here systems which are either symbolic (topological) Markov chain or Anosov diffeomorphisms preserving Gibbs measures. We find sufficient conditions on sequences of cylinders and rectangles, respectively, that ensure the dynamical Borel-Cantelli lemma.
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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
01Statements2 reported findingsCorrect
The sufficient dynamical Borel-Cantelli criteria, their Gibbs-measure applications, and the counterexamples separating the stated hypotheses are correct as stated.
The abstract Borel-Cantelli criteria are correct
Pages 4–8 · Theorems 2.1–2.2 · arXiv:math/9912178v1
The summability and overlap hypotheses give the announced strong Borel-Cantelli conclusion through the second-moment estimate, while the weaker hypothesis gives the ordinary Borel-Cantelli property. The quantifiers over the target sequence and the normalization by the cumulative measure agree with the conclusions.
Full paper, version 1 ↗The Gibbs applications and limitations match the abstract criteria
Pages 8–23 · application theorems and counterexamples · arXiv:math/9912178v1
Exponential mixing supplies the required correlation bounds for the nested cylinder and aligned rectangle families. The constructed counterexamples remove precisely the geometric alignment or nesting control used in those estimates and therefore do not conflict with the positive results.
02Proofs2 reported findingsCorrect
The variance estimates, Gibbs distortion bounds, and counterexample constructions are correct and complete.
The correlation sums close with the stated normalizations
Pages 5–8 · proofs of Theorems 2.1–2.2 · arXiv:math/9912178v1
The diagonal and off-diagonal contributions are separated correctly, the assumed overlap bounds control the variance, and the standard subsequence interpolation produces the full strong law without changing the target sequence.
The symbolic and geometric reductions are complete
Pages 8–23 · Gibbs applications and examples · arXiv:math/9912178v1
Bounded distortion converts cylinder intersections into the abstract correlation estimates, and the rectangle argument tracks stable and unstable coordinates separately. The negative examples explicitly verify divergence of the measure sum while forcing failure of the asserted recurrence conclusion.
03Novelty0 reported findingsNo non-novelty findings
No non-novelty findings.