Weighted Switchings and Linear Corner Growth in Uniform Contingency Tables
Manuscript 21 October 2026 · Online 23 October 2026
Abstract
For a uniformly chosen nonnegative integer n-by-n matrix with both margin vectors (3n,n,...,n), the corner expectation has order n. An explicit finite weighted-switching bound gives liminf E[X_11]/n >= 2-sqrt(2). The same corner law has total variation distance at least 1/4096 from every geometric distribution, including n-dependent choices of parameter. A general bound covers margins (L,t,...,t). The proof does not use an independence approximation or a Markov-chain mixing theorem. This answers the linear-order question and gives a counterexample to unrestricted geometric entry approximation in OWR-5152-009. It does not assert the exact limiting mean, a Gaussian limit, or the full phase diagram. The fixed-base cloning results are not contradicted. English unrefereed preprint. Author affiliation: Mercury Software GmbH. OpenAI Codex assisted with derivation, literature review, computational checks and preparation. No independent review, formal verification, novelty certification or absolute priority claim. CC BY 4.0.
Record
- Affiliation
- Mercury Software GmbH
- Contact
- [email protected] · GitHub
- Result
- Linear corner growth and a non-geometric counterexample
- Categories
- math.PR · math.CO
- Manuscript
- 21 October 2026
- Online release
- 23 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, “Weighted Switchings and Linear Corner Growth in Uniform Contingency Tables,” EulerSolve Research Papers, OWR-5152-009, 2026. https://doi.org/10.5281/zenodo.23586367.
BibTeX
@misc{ferudun2026owr5152009,
author = {Ferudun, Alper},
title = {Weighted Switchings and Linear Corner Growth in Uniform Contingency Tables},
year = {2026},
howpublished = {EulerSolve Research Papers},
url = {https://eulersolve.org/papers/owr-5152-009/},
doi = {10.5281/zenodo.23586367},
note = {OWR-5152-009; unrefereed preprint}
}