Abstract

We study the existence of stable invariant measures for operators and strongly continuous semigroups of operators on Banach spaces admitting either a dense bilateral backward orbit or a sufficiently rich family of eigenvectors. These invariant measures are realized as the distributions of stochastic integrals with respect to stable random measures. We also discuss invariant measures with other classes of distributions for such operators and semigroups.

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Audited against arXiv v1

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 stable full-support invariant-measure constructions for operators and strongly continuous semigroups, based on bilateral backward orbits or imaginary-axis eigenvector fields, are correct under the stated stable-type and integrability hypotheses.

Theorems 3.1, 3.8, 4.1, and 4.2Correct

Stable stochastic integrals produce invariant mixing measures

Pages 11–17 and 21–24 · arXiv:2606.30463v1

The bilateral orbit or eigenvector field defines a Banach-valued integral against a symmetric stable random measure. Translation or phase rotation of the control parameter leaves its law invariant, and disjointness or decay of translated integrands gives mixing. Density of the deterministic orbit span makes the support full. Stable type supplies almost-sure convergence of the vector-valued integral in precisely the exponent range assumed.

Full paper, version 1
Theorems 4.1–4.2Correct

Full support and mixing criteria follow from the stable spectral representation

Section 4 · arXiv:2606.30463v1

The support is the closed span of the stable-integral kernel, so density of that span gives full support. Vanishing correlations of the kernel under the dual semigroup yield mixing of cylinder functions, and approximation extends this to the invariant probability measure without assuming finite variance when α<2\alpha<2.

02Proofs2 reported findingsCorrect

The stochastic-integration, invariance, mixing, support, and semigroup-to-operator arguments are correct and complete.

Sections 2–4Correct and complete

Vector-valued stable integrals are justified before dynamical use

Pages 5–24 · Sections 2–4 · arXiv:2606.30463v1

Scalar characteristic functions determine the stable law, stable-type moment estimates make the approximating integrals Cauchy in probability and almost surely where needed, and bounded operators commute with the integral. The codifference or disjoint-support criterion proves mixing without assuming nonexistent second moments, including the Gaussian endpoint separately.

Sections 2 and 4Correct and complete

Stable stochastic integration and the support/mixing passage are complete

Pages 9–34 · arXiv:2606.30463v1

The integrability condition is expressed through the α\alpha-stable scale rather than an unavailable second moment. Finite-dimensional characteristic functions verify invariance, truncation controls the infinite integral, and the density/correlation criteria are passed from cylinder functions to the full Borel measure by dominated approximation.

03Novelty0 reported findingsNo non-novelty findings

No non-novelty findings.

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Paper
arXiv:2606.30463v1
Authors listed
Valentin Gillet
Audit date
August 18, 2026
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