arXiv:2606.06012v2

Weighted topological entropy and intersecting random translates of Bedford--McMullen carpets

Nima Alibabaei, Masaki Tsukamoto

math.DS37A3537B4028A8037D35

Abstract

We establish a relativised variational principle for the Feng--Huang weighted topological entropy associated with a factor map between dynamical systems. Combined with a recent theorem of Yin, this yields an almost-everywhere equivalence between the Feng--Huang entropy and its combinatorial version on fibers. As an application, we compute the Hausdorff dimension of the intersection of random translates of two Bedford--McMullen carpets. The resulting formula extends the Kenyon--Peres formula from the self-similar to the self-affine setting, and also points to a new problem concerning random matrix products.

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Audited against arXiv v2

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 18, 2026
01Statements2 reported findingsCorrect

The weighted relative variational principle, the fibrewise entropy identification, and the Hausdorff-dimension formula for intersections of random translates of Bedford–McMullen carpets are correct.

Theorem 2.1, Corollary 2.3, and the carpet dimension theoremCorrect

Weighted entropy controls the random fibre intersections

Pages 5–12 and Sections 4–7 · arXiv:2606.06012v2

The relativized weighted pressure is bounded below by a Brin–Katok local-entropy construction and above by fibre covers and measurable selection. Principal symbolic extensions preserve the measure entropies used in the formula. For the carpets, the random translate constraints become products of nonnegative transition matrices; Kingman's theorem gives the almost-sure pressure and the symbolic coding converts it to the stated dimension with the horizontal and vertical logarithmic weights.

Full paper, version 2
Theorem 2.1 and Corollary 2.3Correct

Weighted entropy passes through the two factor levels with the announced coefficients

Pages 11–15 · Section 2 · arXiv:2606.06012v2

Conditional entropy is applied successively along the factor maps, and the weights ww and 1w1-w remain attached to the corresponding cover scales. The variational formula and its corollary therefore match both endpoint cases and the unweighted specialization.

02Proofs2 reported findingsCorrect

The entropy, measurable-selection, symbolic-extension, random-matrix, and geometric-covering proofs are correct and complete.

Sections 3–7Correct and complete

Relative entropy and geometric scales are matched correctly

Pages 13–58 · Sections 3–7 · arXiv:2606.06012v2

Conditional measures are disintegrated over the correct factor, local entropy estimates are uniform on the selected high-measure sets, and the measurable near-optimizers are used only after compact approximation. In the application, approximate squares have the announced eccentricity, subadditive matrix norms encode all allowed digits, and Frostman lower bounds match the covering upper bounds.

Symbolic-to-geometric argumentCorrect and complete

Entropy maximization and carpet coverings yield matching dimensions

Sections 5–7 · arXiv:2606.06012v2

The symbolic coding separates horizontal and vertical scales at the appropriate stopping times. Upper covers use the weighted pressure bound, while the selected invariant measure gives the reverse inequality through local dimensions. Boundary codings form a negligible exceptional set, so both bounds apply to the geometric carpet.

03Novelty0 reported findingsNo non-novelty findings

No non-novelty findings.

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Paper
arXiv:2606.06012v2
Authors listed
Nima Alibabaei, Masaki Tsukamoto
Audit date
August 18, 2026
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