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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Estimativas para a curvatura média de subvariedades cilindricamente limitadas / Estimates for the mean curvature of cylindrically bounded submanifolds

Maia, Anderson Feitoza Leitão January 2013 (has links)
MAIA, Anderson Feitoza Leitão. Estimativas para a curvatura média de subvariedades cilindricamente limitadas. 2013. 69 f. Dissertação(Mestrado em Matemática) - Centro de Ciências, Universidade Federal do Ceará, Programa de Pós-Graduação em Matemática, Fortaleza, 2013. / Submitted by Erivan Almeida (eneiro@bol.com.br) on 2014-02-07T13:12:33Z No. of bitstreams: 1 2013_dis_aflmaia.pdf: 599959 bytes, checksum: 2efd46db2a89393b61f64b3a01ad7151 (MD5) / Approved for entry into archive by Rocilda Sales(rocilda@ufc.br) on 2014-02-07T16:35:23Z (GMT) No. of bitstreams: 1 2013_dis_aflmaia.pdf: 599959 bytes, checksum: 2efd46db2a89393b61f64b3a01ad7151 (MD5) / Made available in DSpace on 2014-02-07T16:35:23Z (GMT). No. of bitstreams: 1 2013_dis_aflmaia.pdf: 599959 bytes, checksum: 2efd46db2a89393b61f64b3a01ad7151 (MD5) Previous issue date: 2013 / This work is based on the article The Mean Curvature Cylindrically Bounded Submanifolds, it will discuss an estimate for the mean curvature of complete cylindrically submanifolds bounded. Furthermore we present a relationship between an estimate of the mean curvature and the fact that M is stochastically incomplete. / Este trabalho é baseado no artigo The Mean Curvature Cylindrically Bounded Submanifolds, nele abordaremos uma estimativa para a curvatura média de subvariedades completas cilindricamente limitadas. Ademais apresentaremos uma relação entre uma estimativa da curvatura média e o fato de M ser estocasticamente incompleta.

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