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zbMATH Open
Article . 2021
Data sources: zbMATH Open
Tbilisi Mathematical Journal
Article . 2021 . Peer-reviewed
Data sources: Crossref
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Conformal semi-slant submersions from Lorentzian para Kenmotsu manifolds

Conformal semi-slant submersions from Lorentzian para Kenmotsu manifolds
Authors: Prasad, Rajendra; Singh, Punit Kumar; Kumar, Sushil;

Conformal semi-slant submersions from Lorentzian para Kenmotsu manifolds

Abstract

The paper deals with the notion of conformal semi-slant submersions from Lorentzian para Kenmotsu manifolds onto Riemannian manifolds. In this paper, we study the integrability of the distributions and the geometry of leaves manifolds. Further, we obtain the necessary and sufficient conditions for such submersions to be totally geodesic where characteristic vector field $\xi $ is vertical.

Keywords

Differential geometry of immersions (minimal, prescribed curvature, tight, etc.), Global differential geometry of Lorentz manifolds, manifolds with indefinite metrics, conformal semi-slant submeresions, semi-slant submersions, Lorentzian para Kenmotsu manifolds, General geometric structures on manifolds (almost complex, almost product structures, etc.), Geodesics in global differential geometry

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
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