Counting the dimension of splines of mixed smoothness: A general recipe, and its application to planar meshes of arbitrary topologies

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Název: Counting the dimension of splines of mixed smoothness: A general recipe, and its application to planar meshes of arbitrary topologies
Autoři: Deepesh Toshniwal, Michael DiPasquale
Zdroj: Advances in Computational Mathematics. 47
Informace o vydavateli: Springer Science and Business Media LLC, 2021.
Rok vydání: 2021
Témata: Splines, Spline dimension formulas, 0101 mathematics, 01 natural sciences, Mixed smoothness, Polygonal meshes with holes
Popis: In this paper, we study the dimension of bivariate polynomial splines of mixed smoothness on polygonal meshes. Here, “mixed smoothness” refers to the choice of different orders of smoothness across different edges of the mesh. To study the dimension of spaces of such splines, we use tools from homological algebra. These tools were first applied to the study of splines by Billera (Trans. Am. Math. Soc.310(1), 325–340, 1988). Using them, estimation of the spline space dimension amounts to the study of the Billera-Schenck-Stillman complex for the spline space. In particular, when the homology in positions 1 and 0 of this complex is trivial, the dimension of the spline space can be computed combinatorially. We call such spline spaces “lower-acyclic.” In this paper, starting from a spline space which is lower-acyclic, we present sufficient conditions that ensure that the same will be true for the spline space obtained after relaxing the smoothness requirements across a subset of the mesh edges. This general recipe is applied in a specific setting: meshes of arbitrary topologies. We show how our results can be used to compute the dimensions of spline spaces on triangulations, polygonal meshes, and T-meshes with holes.
Druh dokumentu: Article
Jazyk: English
ISSN: 1572-9044
1019-7168
DOI: 10.1007/s10444-020-09830-x
Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s10444-020-09830-x.pdf
https://www.scilit.net/article/e593f1ad55f3e7ea82723b659a1a8fa2?action=show-references
https://research.tudelft.nl/en/publications/counting-the-dimension-of-splines-of-mixed-smoothness-2
https://dblp.uni-trier.de/db/journals/corr/corr2001.html#abs-2001-01774
https://link.springer.com/content/pdf/10.1007/s10444-020-09830-x.pdf
http://dblp.uni-trier.de/db/journals/corr/corr2001.html#abs-2001-01774
https://www.arxiv-vanity.com/papers/2001.01774/
http://resolver.tudelft.nl/uuid:43e1446d-b638-4a9a-b0e3-60fc95ecf0aa
Rights: CC BY
Přístupové číslo: edsair.doi.dedup.....0f152cbbae0be04c6063ede0915ae08c
Databáze: OpenAIRE
Popis
Abstrakt:In this paper, we study the dimension of bivariate polynomial splines of mixed smoothness on polygonal meshes. Here, “mixed smoothness” refers to the choice of different orders of smoothness across different edges of the mesh. To study the dimension of spaces of such splines, we use tools from homological algebra. These tools were first applied to the study of splines by Billera (Trans. Am. Math. Soc.310(1), 325–340, 1988). Using them, estimation of the spline space dimension amounts to the study of the Billera-Schenck-Stillman complex for the spline space. In particular, when the homology in positions 1 and 0 of this complex is trivial, the dimension of the spline space can be computed combinatorially. We call such spline spaces “lower-acyclic.” In this paper, starting from a spline space which is lower-acyclic, we present sufficient conditions that ensure that the same will be true for the spline space obtained after relaxing the smoothness requirements across a subset of the mesh edges. This general recipe is applied in a specific setting: meshes of arbitrary topologies. We show how our results can be used to compute the dimensions of spline spaces on triangulations, polygonal meshes, and T-meshes with holes.
ISSN:15729044
10197168
DOI:10.1007/s10444-020-09830-x