Simplices rarely contain their circumcenter in high dimensions

Acute triangles are defined by having all angles less than π/2, and are characterized as the triangles containing their circumcenter in the interior. For simplices of dimension n ≥ 3, acuteness is defined by demanding that all dihedral angles between ( n −1)-dimensional faces are smaller than π/2. H...

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Published inApplications of mathematics (Prague) Vol. 62; no. 3; pp. 213 - 223
Main Author Vatne, Jon Eivind
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2017
Springer Nature B.V
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Abstract Acute triangles are defined by having all angles less than π/2, and are characterized as the triangles containing their circumcenter in the interior. For simplices of dimension n ≥ 3, acuteness is defined by demanding that all dihedral angles between ( n −1)-dimensional faces are smaller than π/2. However, there are, in a practical sense, too few acute simplices in general. This is unfortunate, since the acuteness property provides good qualitative features for finite element methods. The property of acuteness is logically independent of the property of containing the circumcenter when the dimension is greater than two. In this article, we show that the latter property is also quite rare in higher dimensions. In a natural probability measure on the set of n -dimensional simplices, we show that the probability that a uniformly random n -simplex contains its circumcenter is 1/2 n .
AbstractList Acute triangles are defined by having all angles less than π/2, and are characterized as the triangles containing their circumcenter in the interior. For simplices of dimension n ≥ 3, acuteness is defined by demanding that all dihedral angles between ( n −1)-dimensional faces are smaller than π/2. However, there are, in a practical sense, too few acute simplices in general. This is unfortunate, since the acuteness property provides good qualitative features for finite element methods. The property of acuteness is logically independent of the property of containing the circumcenter when the dimension is greater than two. In this article, we show that the latter property is also quite rare in higher dimensions. In a natural probability measure on the set of n -dimensional simplices, we show that the probability that a uniformly random n -simplex contains its circumcenter is 1/2 n .
Acute triangles are defined by having all angles less than [pi]/2, and are characterized as the triangles containing their circumcenter in the interior. For simplices of dimension n [greater than or equal to] 3, acuteness is defined by demanding that all dihedral angles between (n-1)-dimensional faces are smaller than [pi]/2. However, there are, in a practical sense, too few acute simplices in general. This is unfortunate, since the acuteness property provides good qualitative features for finite element methods. The property of acuteness is logically independent of the property of containing the circumcenter when the dimension is greater than two. In this article, we show that the latter property is also quite rare in higher dimensions. In a natural probability measure on the set of n-dimensional simplices, we show that the probability that a uniformly random n-simplex contains its circumcenter is 1/2n.
Author Vatne, Jon Eivind
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CitedBy_id crossref_primary_10_1016_j_amc_2019_06_014
crossref_primary_10_1007_s00022_019_0506_y
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Copyright Institute of Mathematics of the Academy of Sciences of the Czech Republic, Praha, Czech Republic 2017
Applications of Mathematics is a copyright of Springer, 2017.
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Snippet Acute triangles are defined by having all angles less than π/2, and are characterized as the triangles containing their circumcenter in the interior. For...
Acute triangles are defined by having all angles less than [pi]/2, and are characterized as the triangles containing their circumcenter in the interior. For...
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SubjectTerms Analysis
Applications of Mathematics
Classical and Continuum Physics
Dimensional measurement
Finite element method
Mathematical analysis
Mathematical and Computational Engineering
Mathematical and Computational Physics
Mathematics
Mathematics and Statistics
Optimization
Probability
Theoretical
Topological manifolds
Triangles
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