2022
DOI: 10.48550/arxiv.2202.13420
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Curvature tensor of smoothable Alexandrov spaces

Abstract: We prove weak convergence of curvature tensors of Riemannian manifolds for converging noncollapsing sequences with a lower bound on sectional curvature. ContentsProofs 9 3 Singularities of codimension 3 9 4 Singularities of codimension 2 9A. Gauss and mean curvature estimates 9; B. Curvature of level sets 12; C. Three-dimensional case 14; D. Higher-dimensional case 15.

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Cited by 2 publications
(2 citation statements)
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“…We note that a quadratic lower curvature decay in (1.2), combined with (1.1) is sufficient to guarantee that the Ricci curvature of (M n , g) weakly converges to 0 in the almost radial directions when we consider any blow-down, see [41] for the precise statement. However, even under the stronger two-sided quadratic curvature decay assumption, this weak convergence does not localize to (all) boundaries of large isoperimetric sets.…”
Section: Strict Stability For Many Volumesmentioning
confidence: 99%
“…We note that a quadratic lower curvature decay in (1.2), combined with (1.1) is sufficient to guarantee that the Ricci curvature of (M n , g) weakly converges to 0 in the almost radial directions when we consider any blow-down, see [41] for the precise statement. However, even under the stronger two-sided quadratic curvature decay assumption, this weak convergence does not localize to (all) boundaries of large isoperimetric sets.…”
Section: Strict Stability For Many Volumesmentioning
confidence: 99%
“…If one further assumes that the sectional curvature of the initial space is bounded from below by − A r 2 with r being the distance, and one blows down the solution, one obtains a solution having the same properties, in some weak sense, coming out of any asymptotic cone of (M 3 , g 0 ). Based on results of Lebedeva-Petrunin [LP22] using methods of Alexandrov geometry, it is then a static problem to show that such asymptotic cones must be flat which leads to a contradiction. This is where our approach differs, as we will now explain.…”
Section: Avr(g(t))mentioning
confidence: 99%