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Iterated Petrova??Galerkin Method with Regular Pairs for Solving Fredholm Integral Equations of the Second Kind

机译:求解第二类Fredholm积分方程的规则对的Petrova ?? Galerkin迭代方法

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In this work we obtain approximate solutions for Fredholm integral equations of the second kind by means of Petrov–Galerkin method, choosing “regular pairs” of subspaces, { X n , Y n } , which are simply characterized by the positive definitiveness of a correlation matrix. This choice guarantees the solvability and numerical stability of the approximation scheme in an easy way, and the selection of orthogonal basis for the subspaces make the calculations quite simple. Afterwards, we explore an interesting phenomenon called “superconvergence”, observed in the 1970s by Sloan: once the approximations u n ∈ X n to the solution of the operator equation u − K u = g are obtained, the convergence can be notably improved by means of an iteration of the method, u n * = g + K u n . We illustrate both procedures of approximation by means of two numerical examples: one for a continuous kernel, and the other for a weakly singular one.
机译:在这项工作中,我们通过Petrov Galerkin方法,选择“正则对”,获得了第二类Fredholm积分方程的近似解。子空间{X n,Y n}的特征简单地由相关矩阵的正定性来表征。这种选择可以轻松保证逼近方案的可解性和数值稳定性,并且选择子空间的正交基础可以使计算变得非常简单。此后,我们探索一种有趣的现象,称为“超收敛”,该现象在1970年代由斯隆(Sloan)观察到: X n到算子方程u−的解。得到K u = g,通过该方法的迭代,可以显着改善收敛性。我们通过两个数值示例来说明这两种近似方法:一个用于连续核,另一个用于弱奇异核。

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