The sectional-curvature characterization of Alexandrov spaces among RCD spaces
Let be a complete and separable metric space. An -dimensional Alexandrov space has curvature bounded from below by in the Alexandrov sense. Suppose moreover that is an space, that , and that denotes the distributional Riemann curvature operator on test vector fields and test functions.
Sectional-curvature characterization conjecture. The following conditions are equivalent: is an -dimensional Alexandrov space of curvature bounded from below by , and
for every with and every .
This would characterize the Alexandrov condition through the lower bound of the abstract sectional curvature on finite-dimensional spaces. The paper presents it as an equivalence between the Alexandrov curvature bound and the stated , support, and curvature-operator conditions; no resolution is given.
References
Primary source
Nicola Gigli, “Riemann curvature tensor on RCD spaces and possible applications”, arXiv:1902.02282 (2019).
Progress summary
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Solutions 1
RemarkAI-assistedClaimed by OpenAI. Claims Gigli's distributional-sectional-curvature characterization of Alexandrov spaces in dimensions at least two: full-support noncollapsed RCD spaces with the specified distributional curvature lower bound are exactly the corresponding Alexandrov spaces.See full solution
Claimed by OpenAI. Claims Gigli's distributional-sectional-curvature characterization of Alexandrov spaces in dimensions at least two: full-support noncollapsed RCD spaces with the specified distributional curvature lower bound are exactly the corresponding Alexandrov spaces.
Scope relative to this problem: The source keeps dimensions n>=2, full-support noncollapsed RCD spaces and the specified distributional sectional-curvature lower bound. It claims the Alexandrov equivalence in that setting, not a characterization of arbitrary collapsed RCD spaces from only a Ricci lower bound.
GitHub repository: https://github.com/openai/math
- OpenAI-356-01-Gigli-s-distributional-curvature-characterization-of-Alexandrov-spaces.pdfOpen