Connes’ bicentralizer conjecture and Takesaki’s classification problem for flows
For every type factor and every faithful normal state on , the bicentralizer algebra is trivial: , where consists of those such that strongly for every bounded sequence satisfying strongly.
References
Primary source
Additional references
- The classification of flows on II₁ factors and Connes' bicentralizer problem — arXiv — Cyril Houdayer, Amine Marrakchi
Progress summary
A new unrefereed paper claims to settle both problems, but the claim has not been independently checked.
The entry concerns Connes’ bicentralizer conjecture and Takesaki’s classification problem for flows, two long-standing questions in von Neumann algebra theory. The reported advance uses a classification theorem for flows and an argument involving actions of the real line.
September 10, 2026 claimed solution
Cyril Houdayer and Amine Marrakchi’s preprint The classification of flows on II₁ factors and Connes' bicentralizer problem claims to resolve both problems. Its classification theorem and bicentralizer argument would settle the stated conjectures if correct.
Current status (as of September 2026): A September 2026 preprint claims both problems are solved, but neither claim is independently verified.
Solutions 1
RemarkAI-assistedClaimed by OpenAI. Claims bounded modular-spectral recovery for von Neumann algebras with a faithful normal state and scalar centralizer, and an alternative proof of bicentralizer triviality for type III_1 factors with separable predual.See full solution
Claimed by OpenAI. Claims bounded modular-spectral recovery for von Neumann algebras with a faithful normal state and scalar centralizer, and an alternative proof of bicentralizer triviality for type III_1 factors with separable predual.
Scope relative to this problem: The bounded modular-spectral recovery theorem assumes a faithful normal state with scalar centralizer. The manuscript also claims an alternative proof of bicentralizer triviality for type III1 factors with separable predual. The target has no separable-predual restriction; no broader nonseparable or flow-classification assertion is attributed to this companion.
GitHub repository: https://github.com/openai/math
- OpenAI-290-02-Bounded-recovery-for-modular-spectral-averages.pdfOpen