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Geometric inequalities for warped product bi-slant submanifolds with a warping function
Aliya Naaz Siddiqui1, Mohammad Hasan Shahid1, Jae Won Lee2
11Department of Mathematics, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.
This study establishes a lower bound for the squared norm of the second fundamental form in bi-slant submanifolds within nearly trans-Sasakian manifolds, determined by a warping function. Conditions for equality and illustrative examples are also presented.
Area of Science:
- Differential Geometry
- Submanifold Theory
- Riemannian Geometry
Background:
- Nearly trans-Sasakian manifolds are a significant class of Riemannian manifolds.
- Bi-slant submanifolds offer a rich area for geometric investigation.
- The second fundamental form is crucial for understanding submanifold geometry.
Purpose of the Study:
- To derive a lower bound for the squared norm of the second fundamental form of bi-slant submanifolds.
- To investigate the conditions under which this lower bound is achieved (equality case).
- To explore the geometric properties within the context of nearly trans-Sasakian manifolds.
Main Methods:
- Utilizing the properties of the second fundamental form in submanifold geometry.
- Applying techniques from differential geometry to analyze bi-slant submanifolds.
- Developing calculations specific to the nearly trans-Sasakian manifold setting.
Main Results:
- The squared norm of the second fundamental form for bi-slant submanifolds is proven to be bounded below by the gradient of a warping function.
- Specific conditions for the equality case of this inequality are established.
- The theoretical findings are supported by the construction of relevant examples.
Conclusions:
- The study provides a fundamental geometric inequality for bi-slant submanifolds in nearly trans-Sasakian manifolds.
- The findings contribute to a deeper understanding of the interplay between submanifold geometry and the underlying manifold's structure.
- The established conditions for equality offer avenues for further research and classification.
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