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Bases for non-homogeneous polynomial C k splines on the sphere

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LATIN'98: Theoretical Informatics (LATIN 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1380))

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Abstract

We investigate the use of non-homogeneous spherical polynomials for the approximation of functions defined on the sphere S2. A spherical polynomial is the restriction to S2 of a polynomial in the three coordinates x,y,z of ℝ3. Let P d be the space of spherical polynomials with degree ≤ d. We show that P d is the direct sum of P d and H d−1, where H d denotes the space of homogeneous degree-d polynomials in x,y,z.

We also generalize this result to splines defined on a geodesic triangulation T of the sphere. Let P d k [T] denote the space of all functions f from S2 to ℝ such that (1) the restriction of f to each triangle of T belongs to P d; and (2) the function f has order-k continuity across the edges of T. Analogously, let H d k [T] denote the subspace of P d k [T] consisting of those functions that are H d within each triangle of T. We show that P d k [T]=H d k [T]⊕H d−1 k [T]. Combined with results of Alfeld, Neamtu and Schumaker on bases of H d k [T] this decomposition provides an effective construction for a basis of P d k [T].

There has been considerable interest recently in the use of the homogeneous spherical splines H d k [T] as approximations for functions defined on S2. We argue that the non-homogeneous splines P d k [T] would be a more natural choice for that purpose.

This research was partly funded by CNPq grant 301016/92-5

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References

  1. Peter Alfeld, Marian Neamtu, and Larry L. Schumaker. Bernstein-Bézier polynomials on circle, spheres, and sphere-like surfaces. Computer Aided Geometric Design Journal, 13:333–349, 1996.

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Cláudio L. Lucchesi Arnaldo V. Moura

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© 1998 Springer-Verlag Berlin Heidelberg

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Gomide, A., Stolfi, J. (1998). Bases for non-homogeneous polynomial C k splines on the sphere. In: Lucchesi, C.L., Moura, A.V. (eds) LATIN'98: Theoretical Informatics. LATIN 1998. Lecture Notes in Computer Science, vol 1380. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0054316

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  • DOI: https://doi.org/10.1007/BFb0054316

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64275-6

  • Online ISBN: 978-3-540-69715-2

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