Journal of Mathematical Sciences

, Volume 72, Issue 4, pp 3242–3246 | Cite as

On the Grassmann image of a four-dimensional submanifold inE6

  • V. M. Savel'ev
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Abstract

The four-dimensional submanifold F4 in the six-dimensional Euclidean space E6 is considered. The relation between the curvature of Grassmannian manifold G2,6 along the Grassmann image of a two-dimensional area element from the tangent space to F4 ⊂ E6 and the projection of a four-dimensional section onto a three-dimensional space is clarified.

Keywords

Manifold Euclidean Space Tangent Space Area Element Grassmann Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Yu. A. Aminov, "The Grassmann image of a two-dimensional surface in a four-dimensional Euclidean space," Ukr. Geom. Sb., No. 23, 3–6 (1980).Google Scholar
  2. 2.
    Yu. A. Aminov, "Isometric immersions of domains of ann-dimensional Lobachevski space into a (2n−1)-dimensional Euclidean space," Mat. Sb.,3, No. 3, 402–433 (1980).Google Scholar
  3. 3.
    Yu. A. Nikolaevskii, "On surfaces with Grassmann image whose curvature is at least one," Ukr. Geom. Sb., No. 33, 77–91 (1990).Google Scholar
  4. 4.
    A. A. Borisenko and Yu. A. Nikolaevskii, "The classification of the points of three-dimensional surfaces according to the Grassmann image," Ukr. Geom. Sb., No. 32, 11–27 (1989).Google Scholar
  5. 5.
    Yu. A. Aminov, "Imbedding problems: geometric and topological aspects," Itogi Nauki i Tekhniki Akad. Nauk SSSR Ser. Probl. Geom.,13, 119–156 (1982).Google Scholar
  6. 6.
    V. T. Bazylev, The Geometry of Differentiable Manifolds [in Russian], Moscow (1989).Google Scholar

Copyright information

© Plenum Publishing Corporation 1994

Authors and Affiliations

  • V. M. Savel'ev

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