{ "id": "1111.1013", "version": "v1", "published": "2011-11-03T23:42:55.000Z", "updated": "2011-11-03T23:42:55.000Z", "title": "Better bases for kernel spaces", "authors": [ "E. J. Fuselier", "T. C. Hangelbroek", "F. J. Narcowich", "J. D. Ward", "G. B. Wright" ], "comment": "26 pages, 5 figures, 3 tables", "categories": [ "math.NA", "math.CA" ], "abstract": "In this article we investigate the feasibility of constructing stable, local bases for computing with kernels. In particular, we are interested in constructing families $(b_{\\xi})_{\\xi\\in\\Xi}$ that function as bases for kernel spaces $S(k,\\Xi)$ so that each basis function is constructed using very few kernels. In other words, each function $b_{\\zeta}(x) = \\sum_{\\xi\\in\\Xi} A_{\\zeta,\\xi} k(x,\\xi)$ is a linear combination of samples of the kernel with few nonzero coefficients $A_{\\zeta,\\xi}$. This is reminiscent of the construction of the B-spline basis from the family of truncated power functions. We demonstrate that for a large class of kernels (the Sobolev kernels as well as many kernels of polyharmonic and related type) such bases exist. In fact, the basis elements can be constructed using a combination of roughly $O(\\log N)^d$ kernels, where $d$ is the local dimension of the manifold and $N$ is the dimension of the kernel space (i.e. $N=#\\Xi$). Viewing this as a preprocessing step -- the construction of the basis has computational cost $O(N(\\log N)^d)$. Furthermore, we prove that the new basis is $L_p$ stable and satisfies polynomial decay estimates that are stationary with respect to the density of $\\Xi$.", "revisions": [ { "version": "v1", "updated": "2011-11-03T23:42:55.000Z" } ], "analyses": { "subjects": [ "65D05", "65F08", "41A05" ], "keywords": [ "kernel space", "better bases", "satisfies polynomial decay estimates", "construction", "b-spline basis" ], "note": { "typesetting": "TeX", "pages": 26, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2011arXiv1111.1013F" } } }