Mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spaces

Abstract In this paper, we investigate the mean curvature flows starting from all leaves of theisoparametric foliation given by a certain kind of solvable group action on a symmetric space of non-compact type. We prove that the mean curvature flow starting from each non-minimal leaf of the foliation...

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Autor principal: Koike,Naoyuki
Lenguaje:English
Publicado: Universidad de La Frontera. Departamento de Matemática y Estadística. 2018
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-06462018000300013
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spelling oai:scielo:S0719-064620180003000132019-03-08Mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spacesKoike,Naoyuki error function based activation function multivariate quasi-interpolation neural network approximation Kantorovich-Shilkret type operator Abstract In this paper, we investigate the mean curvature flows starting from all leaves of theisoparametric foliation given by a certain kind of solvable group action on a symmetric space of non-compact type. We prove that the mean curvature flow starting from each non-minimal leaf of the foliation exists in infinite time, if the foliation admits no minimal leaf, then the flow asymptotes the self-similar flow starting from another leaf, and if the foliation admits a minimal leaf (in this case, it is shown that there exists the only one minimal leaf), then the flow converges to the minimal leaf of the foliation in C∞-topology. These results give the geometric information between the leaves.info:eu-repo/semantics/openAccessUniversidad de La Frontera. Departamento de Matemática y Estadística.Cubo (Temuco) v.20 n.3 20182018-10-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-06462018000300013en10.4067/S0719-06462018000300013
institution Scielo Chile
collection Scielo Chile
language English
topic error function based activation function
multivariate quasi-interpolation neural network approximation
Kantorovich-Shilkret type operator
spellingShingle error function based activation function
multivariate quasi-interpolation neural network approximation
Kantorovich-Shilkret type operator
Koike,Naoyuki
Mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spaces
description Abstract In this paper, we investigate the mean curvature flows starting from all leaves of theisoparametric foliation given by a certain kind of solvable group action on a symmetric space of non-compact type. We prove that the mean curvature flow starting from each non-minimal leaf of the foliation exists in infinite time, if the foliation admits no minimal leaf, then the flow asymptotes the self-similar flow starting from another leaf, and if the foliation admits a minimal leaf (in this case, it is shown that there exists the only one minimal leaf), then the flow converges to the minimal leaf of the foliation in C∞-topology. These results give the geometric information between the leaves.
author Koike,Naoyuki
author_facet Koike,Naoyuki
author_sort Koike,Naoyuki
title Mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spaces
title_short Mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spaces
title_full Mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spaces
title_fullStr Mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spaces
title_full_unstemmed Mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spaces
title_sort mean curvature flow of certain kind of isoparametric foliations on non-compact symmetric spaces
publisher Universidad de La Frontera. Departamento de Matemática y Estadística.
publishDate 2018
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-06462018000300013
work_keys_str_mv AT koikenaoyuki meancurvatureflowofcertainkindofisoparametricfoliationsonnoncompactsymmetricspaces
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