The converse Alexandrov-to-distributional sectional curvature conjecture for metrics
The converse Alexandrov-to-distributional sectional curvature conjecture for metrics
Let ) be a Riemannian manifold with such that is an Alexandrov space with curvature bounded from below (respectively, above) by . Distributional sectional curvature is the curvature notion defined by distributional inequalities for the curvature tensor of a low-regularity metric.
Converse curvature conjecture. The distributional sectional curvature of is bounded from below (respectively, above) by .
This conjecture asks for a converse to the paper's result that, for metrics, distributional sectional-curvature bounds imply the corresponding Alexandrov curvature bounds. Its status is not established in the supplied text.
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Sources & referencesView supporting material
Primary source
Darius Erös, Michael Kunzinger, Argam Ohanyan and Alessio Vardabasso, “Distributional sectional curvature bounds for Riemannian metrics of low regularity”, arXiv:2503.17337 (2026).
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