2017
DOI: 10.1016/j.geomphys.2016.11.019
|View full text |Cite
|
Sign up to set email alerts
|

Biharmonic submanifolds of pseudo-Riemannian manifolds

Abstract: In this paper, we derived biharmonic equations for pseudo-Riemannian submanifolds of pseudo-Riemannian manifolds which includes the biharmonic equations for submanifolds of Riemannian manifolds as a special case. As applications, we proved that a pseudo-umbilical biharmonic pseudo-Riemannian submanifold of a pseudo-Riemannian manifold has constant mean curvature, we completed the classifications of biharmonic pseudo-Riemannian hypersurfaces with at most two distinct principal curvatures, which were used to giv… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
14
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 16 publications
(14 citation statements)
references
References 21 publications
0
14
0
Order By: Relevance
“…With the assumption that the shape operator is diagonalizable, the result of Theorem 1 was proved in [6,8,12] when the hypersurface M n r has at most three distinct principal curvatures.…”
Section: Remarkmentioning
confidence: 99%
See 3 more Smart Citations
“…With the assumption that the shape operator is diagonalizable, the result of Theorem 1 was proved in [6,8,12] when the hypersurface M n r has at most three distinct principal curvatures.…”
Section: Remarkmentioning
confidence: 99%
“…Calculate Under the assumption that the shape operator is diagonalizable, the results of Theorems 6, 7, and 8 were proven not only for odd-dimensional hypersurfaces but also for even-dimensional hypersurfaces (cf. [6,8]).…”
Section: Lemma 3 We Havementioning
confidence: 99%
See 2 more Smart Citations
“…where R B is the curvature tensor of B n (see [8], [12], [18]). A smooth map ϕ is a biharmonic map (or 2-harmonic map) if its bitension field vanishes (see [12], [18]).…”
Section: Biharmonic Mapsmentioning
confidence: 99%