A two step newton type iteration for ill-posed Hammerstein type operator equations in Hilbert scales

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Date

2014

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Rocky Mountain Mathematics Consortium PO Box 871904 Tempe AZ 85287-1804

Abstract

In this paper regularized solutions of ill-posed Hammerstein type operator equation KF(x) = y, where K : X ? Y is a bounded linear operator with non-closed range and F : X ? X is non-linear, are obtained by a two step Newton type iterative method in Hilbert scales, where the available data is y? in place of actual data y with
y-y?
? ?. We require only a weaker assumption
F'(x<inf>0</inf>)x
?
x
<inf>-b</inf> compared to the usual assumption
F'(x?)x
?
x
<inf>-b</inf>, where x? is the actual solution of the problem, which is assumed to exist, and x<inf>0</inf> is the initial approximation. Two cases, viz-aviz, (i) when F'(x<inf>0</inf>) is boundedly invertible and (ii) F'(x<inf>0</inf>) is non-invertible but F is monotone operator, are considered. We derive error bounds under certain general source conditions by choosing the regularization parameter by an a priori manner as well as by using a modified form of the adaptive scheme proposed by Perverzev and Schock . © 2014 Rocky Mountain Mathematics Consortium.

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Keywords

Adaptive choice, Hilbert scales, Ill-posed problems, Newton's method, Tikhonov regularization

Citation

Journal of Integral Equations and Applications, 2014, 26, 1, pp. 91-116

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