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可均作用上的等变 Z-稳定性证明

Equivariant $\mathcal{Z}$-stability for amenable actions

精选理由

数学论文:把 OpenAI 关于可均群的结果推广到可均作用,还附了从零讲起的概率工具附录。

论文证明可数离散群的每个可均作用在可分、单、有单位、核、Z-稳定的 C*-代数上,均可通过 cocycle 共轭吸收 Z 上的平凡作用,且不要求外性或迹态空间假设。结果将 OpenAI 针对可均群的定理推广到可均作用情形,并推广到迹可均作用,在无单性与核性假设下给出矩阵代数的不变中心拷贝。应用包括交叉乘积中中间子代数的 Z 吸收,以及非可均群外可均作用的纯无限性。

原文 · arXiv: OpenAI

Equivariant $\mathcal{Z}$-stability for amenable actions

We prove that every amenable action of a countable discrete group on a separable, simple, unital, nuclear, $\mathcal{Z}$-stable C*-algebra absorbs the trivial action on $\mathcal{Z}$ up to cocycle conjugacy. The group may be nonamenable, as in Suzuki's recent examples, and no assumptions on outerness or on the tracial state space are needed. This extends OpenAI's result for amenable groups to amenable actions. Amenability of the action cannot be omitted in general, as examples of the author and Lupini show. More generally, we show that every tracially amenable action on a separable, unital, $\mathcal{Z}$-stable C*-algebra with traces admits invariant central copies of all matrix algebras, without simplicity or nuclearity. For amenable actions on simple nuclear algebras, equivariant property (SI) allows one to deduce $\mathcal{Z}$-stability from this. As applications, we obtain absorption of $\mathcal{Z}$ for intermediate subalgebras in the crossed product, and also pure infiniteness for outer amenable actions of nonamenable groups. The basic techniques involving Gaussian variables originate in OpenAI's preprint, and are also the main new tool in its proposed solution to the Toms--Winter conjecture. We extend these techniques in order to deal with the weight functions coming from amenability, and one of the main new ingredients is the fact that one can replace an amenable action by an auxiliary one for which the amenability weights are central. In order to make the probabilistic tools accessible to the community beyond what is used here, we include an appendix where the theory is developed assuming only an elementary background, and where the relevant estimates are proved in detail.

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