Scalar curvature lower bounds are preserved under weak limits of smooth closed 3-manifolds through μ-bubble comparisons when volumes and Lipschitz constants converge appropriately.
Quantification of $C^0$ Convergence in Dimension Three
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abstract
We address Gromov's Quantification of $C^0$ Convergence Conjecture in dimension three. Let $B$ be the unit ball in $\mathbb R^3$. Let $g$ and $g_0$ be smooth metrics on $B$. We prove there are constants $C$ and $\epsilon_0$ depending only on $g_0$ so that \[ \inf_{x\in B} R_g(x) \leq R_{g_0}(0) + C \|g-g_0\|_{C^0}^{1/2} \] provided $\|g-g_0\|_{C^0}\leq \epsilon_0$. We also construct examples to show that the exponent $1/2$ is sharp. This explicitly quantifies the fact that scalar curvature lower bounds are preserved under $C^0$ convergence of metrics. When $g_0$ is merely $C^2$ we prove a related estimate with a slightly weaker rate, and when $g_0$ has rotational symmetry we prove a related estimate with a stronger linear rate. To prove these results, we use harmonic functions to define a local quantity that detects the scalar curvature. Then we use classical elliptic PDE estimates to show that this quantity is stable under $C^0$ perturbations of the metric. As a further application of this method, we give a partial answer to a question of Gromov on the preservation of scalar curvature lower bounds for metrics that are converging in measure.
fields
math.DG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The refined quantitative scalar curvature lower bound under C^0 convergence holds in all dimensions greater than or equal to three.
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Scalar curvature under weak limits of manifolds
Scalar curvature lower bounds are preserved under weak limits of smooth closed 3-manifolds through μ-bubble comparisons when volumes and Lipschitz constants converge appropriately.
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Quantification of scalar curvature under $C^0$ convergence using smoothing
The refined quantitative scalar curvature lower bound under C^0 convergence holds in all dimensions greater than or equal to three.