On the long neck principle and width estimates for initial data sets
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00209-024-03532-6.pdf
Reference18 articles.
1. Cecchini, S.: A long neck principle for Riemannian spin manifolds with positive scalar curvature. Geom. Funct. Anal. 30, 1183–1223 (2020)
2. Cecchini, S., Lesourd, M., Zeidler, R.: Positive mass theorems for spin initial data sets with arbitrary ends and dominant energy shields. Int. Math. Res. Not. 9, 7870–7890 (2024)
3. Cecchini, S., Zeidler, R.: Scalar curvature and generalized Callias operators. In: Gromov, M., Lawson, H.B. (eds.) Perspectives in Scalar Curvature. Vol. 1, pp. 515–542. World Scientific, Singapore (2023)
4. Cecchini, S., Zeidler, R.: Scalar and mean curvature comparison via the Dirac operator. Geom. Topol. 28, 1167–1212 (2024)
5. Chai, X., Wan, X.: Band width estimates of CMC initial data sets. Preprint. arXiv:2206.02624
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