Quadrature Formulas on Spheres Using Scattered Data
نویسندگان
چکیده
For the unit sphere embedded in a Euclidean space, we obtain quadrature formulas that are exact for spherical harmonics of a fixed order, have nonnegative weights, and are based on function values at scattered points (sites). The number of scattered sites required is comparable to the dimension of the space for which the quadrature formula is required to be exact. As a part of the proof, we derive L1-Marcinkiewicz-Zygmund inequalites for scattered sites on the unit sphere. ∗Research of the authors was sponsored by the Air Force Office of Scientific Research, Air Force Materiel Command, USAF, under grant numbers F49620-97-1-0211 and F4962098-1-0204. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Air Force Office of Scientific Research or the U.S. Government.
منابع مشابه
Kernel based quadrature on spheres and other homogeneous spaces
Quadrature formulas for spheres, the rotation group, and other compact, homogeneous manifolds are important in a number of applications and have been the subject of recent research. The main purpose of this paper is to study coordinate independent quadrature (or cubature) formulas associated with certain classes of positive definite and conditionally positive definite kernels that are invariant...
متن کاملLocalized Linear Polynomial Operators and Quadrature Formulas on the Sphere
The purpose of this paper is to construct universal, auto-adaptive, localized, linear, polynomial (-valued) operators based on scattered data on the (hyper) sphere Sq (q ≥ 2). The approximation and localization properties of our operators are studied theoretically in deterministic as well as probabilistic settings. Numerical experiments are presented to demonstrate their superiority over tradit...
متن کاملMultidimensional Lobachevsky Spline Integration on Scattered Data
This paper deals with the topic of numerical integration on scattered data in Rd , d ≤ 10, by a class of spline functions, called Lobachevsky splines. Precisely, we propose new integration formulas based on Lobachevsky spline interpolants, which take advantage of being expressible in the multivariate setting as a product of univariate integrals. Theoretically, Lobachevsky spline integration for...
متن کاملNumerical quadrature over the surface of a sphere
Large-scale simulations in spherical geometries require associated quadrature formulas. Classical approaches based on tabulated weights are limited to specific quasi-uniform distributions of relatively low numbers of nodes. By using a radial basis function-generated finite differences (RBF-FD) based approach, the proposed algorithm creates quadrature weights for N arbitrarily scattered nodes in...
متن کاملNumerical Cubature from Archimedes' Hat-box Theorem
Archimedes’ hat-box theorem states that uniform measure on a sphere projects to uniform measure on an interval. This fact can be used to derive Simpson’s rule. We present various constructions of, and lower bounds for, numerical cubature formulas using moment maps as a generalization of Archimedes’ theorem. We realize some well-known cubature formulas on simplices as projections of spherical de...
متن کامل