Mathematics of Computation · 1985 · 97 citations · 18 references
Natural SciencesComputational EngineeringDifferential EquationsFinite Element AnalysisFinite Element MethodsBoundary Element MethodsConvergence AnalysisError EstimationFourier AnalysisNumerical AnalysisNumerical Methods For Differential EquationsCauchy Singular Integral EquationsConvergenceFredholm Integral EquationsNonuniform GridsPseudodifferential OperatorsSingular Integral EquationsSobolev SpacesSpline Basis Functions
We investigate the collocation of linear one-dimensional strongly elliptic integro-differential or, more generally, pseudo-differential equations on closed curves by even-degree polynomial splines. The equations are collocated at the respective midpoints subject to uniform nodal grids of the even-degree <italic>B</italic> -splines. We prove quasioptimal and optimal order asymptotic error estimates in a scale of Sobolev spaces. The results apply, in particular, to boundary element methods used for numerical computations in engineering applications. The equations considered include Fredholm integral equations of the second and the first kind, singular integral equations involving Cauchy kernels, and integro-differential equations having convolutional or constant coefficient principal parts, respectively. The error analysis is based on an equivalence between the collocation and certain variational methods with different degree splines as trial and as test functions. We further need to restrict our operators essentially to pseudo-differential operators having convolutional principal part. This allows an explicit Fourier analysis of our operators as well as of the spline spaces in terms of trigonometric polynomials providing Babuška’s stability condition based on strong ellipticity. Our asymptotic error estimates extend partly those obtained by D. N. Arnold and W. L. Wendland from the case of odd-degree splines to the case of even-degree splines.
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