AIM-PROBABILITY-0133 · Complete scoped counterexample

Geometric Sampling Does Not Determine Regularized R-Diagonal Laws

Manuscript 14 October 2026 · Online 14 October 2026

math.PRmath.OAmath.CVUnrefereed preprint

Abstract

For every \(s_0\gt 0\), \(q\gt 1\) and finite integer \(K\geq 1\), we construct a continuum of distinct affiliated \(R\)-diagonal laws with identical joint star-moments and identical first \(K\) alternating cumulants of \(c(1+s c^*c)^{-1/2}\) at every scale \(s=s_0q^k\), \(k\in\mathbb{Z}\). All absolute moments are finite.

A finite combination of classical lognormal Stieltjes perturbations gives an explicit resolvent difference with prescribed finite-order zeros on the grid and an exact higher separating cumulant. A Blaschke-Jensen argument gives a sufficient uniqueness condition for other sample sets. This is a complete scoped reconstruction counterexample, not a new radial analytic \(R\)-transform or closure of the entire AIM question. Classical inputs are credited. The preprint is self-audited, unrefereed and AI-assisted; independent review, formal verification and absolute priority are not claimed.

Record

Affiliation
Mercury Software GmbH
Result
Complete scoped counterexample
Categories
math.PR · math.OA · math.CV
Manuscript
14 October 2026
Online release
14 October 2026
Version
1.0
License
Creative Commons Attribution 4.0 International

Files and verification

The PDF is the canonical reading copy. The source archive contains the LaTeX manuscript, bibliography, reproducibility material, and audit documents without build artefacts.

Citation

Alper Ferudun, “Geometric Sampling Does Not Determine Regularized R-Diagonal Laws,” EulerSolve Research Papers, AIM-PROBABILITY-0133, 2026. https://doi.org/10.5281/zenodo.23362668.

BibTeX
@misc{ferudun2026rdiagonalsampling,
  author = {Ferudun, Alper},
  title = {Geometric Sampling Does Not Determine Regularized R-Diagonal Laws},
  year = {2026},
  howpublished = {EulerSolve Research Papers},
  url = {https://eulersolve.org/papers/aim-probability-0133/},
  doi = {10.5281/zenodo.23362668},
  note = {AIM-PROBABILITY-0133; unrefereed preprint}
}

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