B.-Y.Chen关于K\“ahler样统计淹没的不等式

IF 0.4 Q4 MATHEMATICS International Electronic Journal of Geometry Pub Date : 2022-10-17 DOI:10.36890/iejg.1006287
A. Siddiqui
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引用次数: 0

摘要

在本文中,我们首先定义了从类K\ ahler统计流形到统计流形的拉格朗日统计淹没的概念。然后证明了拉格朗日统计淹没量的水平分布是可积的。其次,我们建立了从类K\ ahler统计流形到统计流形的拉格朗日统计浸没的Chen-Ricci不等式,并通过O'Neill引入的一个基本张量讨论了该不等式的相等情况,该张量起着等长浸没的第二种基本形式的作用。最后,我们给出了一个非平凡的K\ ahler-like统计淹没的例子。
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B.-Y. Chen's Inequality for K\"ahler-like Statistical Submersions
In this paper, we first define the notion of Lagrangian statistical submersion from a K\"ahler-like statistical manifold onto a statistical manifold. Then we prove that the horizontal distribution of a Lagrangian statistical submersion is integrable. Next, we establish Chen-Ricci inequality for Lagrangian statistical submersions from K\"ahler-like statistical manifolds onto statistical manifolds and discuss the equality case of the obtained inequality through a basictensor introduced by O'Neill that plays the role of the second fundamental form of an isometric immersion. At the end, we give a nontrivial example of a K\"ahler-like statistical submersion.
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来源期刊
CiteScore
0.80
自引率
14.30%
发文量
32
期刊最新文献
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