Spline reproducing kernels on R and error bounds for piecewise smooth LBV problems

Grzegorz Andrzejczak

Applied Mathematics and Computation, 2018, vol. 320, issue C, 27-44

Abstract: Reproducing kernel method for approximating solutions of linear boundary value problems is valid in Hilbert spaces composed of continuous functions, but its convergence is not satisfactory without additional smoothness assumptions. We prove 2nd order uniform convergence for regular problems with coefficient piecewise of Sobolev class H2. If the coefficients are globally of class H2, more refined phantom boundary NSC-RKHS method is derived, and the order of convergence rises to 3 or 4, according to whether the problem is piecewise of class H3 or H4. The algorithms can be successfully applied to various non-local linear boundary conditions, e.g. of simple integral form.

Keywords: Normal spline collocation method; Reproducing kernels; Linear boundary value problems; Integral boundary conditions; Sobolev spaces; Numerical solutions; interpolating splines; Ordinary differential equations (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:320:y:2018:i:c:p:27-44

DOI: 10.1016/j.amc.2017.09.021

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