2011
DOI: 10.1137/100795334
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Kernel Approximation on Manifolds II: The $L_{\infty}$ Norm of the $L_2$ Projector

Abstract: This article addresses two topics of significant mathematical and practical interest in the theory of kernel approximation: the existence of local and stable bases and the L p -boundedness of the least squares operator. The latter is an analogue of the classical problem in univariate spline theory, known there as the "de Boor conjecture". A corollary of this work is that for appropriate kernels the least squares projector provides universal near-best approximations for functions f ∈ L p , 1 ≤ p ≤ ∞.

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Cited by 29 publications
(27 citation statements)
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References 20 publications
(55 reference statements)
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“…At this point, we are able to state three important corollaries to Theorem 5.5 that satisfactorily answer the questions concerning bases and approximation properties of V X discussed in Section 1. These results were previously obtained in [16,15] for a class of Sobolev kernels. Here, we get them for a much broader, computationally implementable class of kernels.…”
Section: Implications For Interpolation and Approximationsupporting
confidence: 80%
“…At this point, we are able to state three important corollaries to Theorem 5.5 that satisfactorily answer the questions concerning bases and approximation properties of V X discussed in Section 1. These results were previously obtained in [16,15] for a class of Sobolev kernels. Here, we get them for a much broader, computationally implementable class of kernels.…”
Section: Implications For Interpolation and Approximationsupporting
confidence: 80%
“…the span of all Wigner functions T k ij with k(k + 1) ≤ ω. As the formulas (17) and (20) show the Radon transform of such function is ω-bandlimited on S 2 × S 2 in the sense its Fourier expansion involves only functions Y k i Y k j which are eigenfunctions of ∆ S 2 ×S 2 with eigenvalue −k(k+1). Under our assumption about k the following Bernstein-type inequality holds for any function in the span of…”
Section: Approximation By Splines and A Sampling Theorem For Radon Trmentioning
confidence: 99%
“…[19, Theorem 4.6] [18, Proposition 3.6]). Let M be a compact Riemannian manifold of dimension n, and assume m > n/2.…”
mentioning
confidence: 99%