Forcing Absoluteness of Minimal and Maximal C∗-Tensor Products
Manuscript 1 September 2026 · Online 2 September 2026
Abstract
We answer an AIM question about whether the minimal or maximal \(C^*\) -tensor product commutes with forcing. We use the standard convention that a ground-model \(C^*\) -algebra is replaced in the extension by the metric completion of its old normed \(*\) -algebra. Under this convention, both \(\otimes_{\min}\) and \(\otimes_{\max}\) commute canonically with every set-forcing extension, for arbitrary ground-model factors; no separability, density-character, or cardinal-preservation hypothesis is needed. The minimal case follows by extension of faithful spatial representations. For the maximal case, any putative larger new norm would give finitely satisfiable old semialgebraic \(C^*\) -seminorm constraints. Quantifier elimination for real closed fields and compactness inside the ground model then produce an old \(C^*\) -seminorm exceeding the old universal norm, a contradiction.
Record
- Affiliation
- Mercury Software GmbH
- Contact
- [email protected] · GitHub
- Result
- Complete proof
- Categories
- math.OA · math.LO
- Manuscript
- 1 September 2026
- Online release
- 2 September 2026
- Version
- 1.0 (typesetting revision 2026-09-05)
- 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.
PDF typesetting revised 5 September 2026: author/contact layout and disclosure placement only. The DOI links to the original archived edition; the mathematical content is unchanged.
Citation
Alper Ferudun, “Forcing Absoluteness of Minimal and Maximal C∗-Tensor Products,” EulerSolve Research Papers, AIM-FUNCTIONAL_ANALYSIS-0027, 2026. https://doi.org/10.5281/zenodo.22245547.
BibTeX
@misc{Ferudun2026AimFunctionalAnalysis0027,
author = {Ferudun, Alper},
title = {Forcing Absoluteness of Minimal and Maximal C∗-Tensor Products},
year = {2026},
howpublished = {EulerSolve Research Papers},
url = {https://eulersolve.org/papers/aim-functional-analysis-0027/},
doi = {10.5281/zenodo.22245547},
note = {AIM-FUNCTIONAL_ANALYSIS-0027; unrefereed preprint}
}