2019
DOI: 10.1007/s00526-019-1584-2
|View full text |Cite
|
Sign up to set email alerts
|

Prescribing the curvature of Riemannian manifolds with boundary

Abstract: Let M be a compact connected surface with boundary. We prove that the signal condition given by the Gauss-Bonnet theorem is necessary and sufficient for a given smooth function f on ∂M (resp. on M ) to be geodesic curvature of the boundary (resp. the Gauss curvature) of some flat metric on M (resp. metric on M with geodesic boundary). In order to provide analogous results for this problem with n ≥ 3, we prove some topological restrictions which imply, among other things, that any function that is negative some… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
37
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 14 publications
(37 citation statements)
references
References 30 publications
0
37
0
Order By: Relevance
“…In others words we can locally prescribe the curvature of such manifolds with constant volume or constant area of the boundary. This will follow from a slight modification of the proof of Proposition 3.1 and 3.3 of [16], see also Section 5 for a more general approach.…”
Section: Properties and Computationsmentioning
confidence: 99%
See 4 more Smart Citations
“…In others words we can locally prescribe the curvature of such manifolds with constant volume or constant area of the boundary. This will follow from a slight modification of the proof of Proposition 3.1 and 3.3 of [16], see also Section 5 for a more general approach.…”
Section: Properties and Computationsmentioning
confidence: 99%
“…In order to prove (b), we modify slightly the arguments in Proposition 3.1 of [16]. Since V is not identically zero on Σ, it follows from (2.2) that Π g = Hg n−1 g. Suppose that {e i } n−1 i=1 span T Σ locally and consider e n = ν.…”
Section: Properties and Computationsmentioning
confidence: 99%
See 3 more Smart Citations