Springe zum Hauptinhalt
Fakultät für Mathematik
Fakultät für Mathematik
Steven Bürger, Bernd Hofmann: About a deficit in low order convergence rates on the example of autoconvolution

Steven Bürger, Bernd Hofmann: About a deficit in low order convergence rates on the example of autoconvolution


Author(s):
Steven Bürger
Bernd Hofmann
Title:
Steven Bürger, Bernd Hofmann: About a deficit in low order convergence rates on the example of autoconvolution
Electronic source:
application/pdf
Preprint series:
Technische Universität Chemnitz, Fakultät für Mathematik (Germany). Preprint 17, 2013
Mathematics Subject Classification:
65J20 []
45G10 []
47J06 []
47A52 []
65J15 []
Abstract:
We revisit in L2-spaces the autoconvolution equation x*x=y with solutions which are real-valued or complex-valued functions x(t) defined on a finite real interval, say t ∈ [0,1]. Such operator equations of quadratic type occur in physics of spectra, in optics and in stochastics, often as part of a more complex task. Because of their weak nonlinearity deautoconvolution problems are not seen as difficult and hence little attention is paid to them wrongly. In this paper, we will indicate on the example of autoconvolution a deficit in low order convergence rates for regularized solutions of nonlinear ill-posed operator equations F(x)=y with solutions x in a Hilbert space setting. So for the real-valued version of the deautoconvolution problem, which is locally ill-posed everywhere, the classical convergence rate theory developed for the Tikhonov regularization of nonlinear ill-posed problems reaches its limits if standard source conditions using the range of F'(x)* fail. On the other hand, convergence rate results based on Hölder source conditions with small Höder exponent and logarithmic source conditions or on the method of approximate source conditions are not applicable since qualified nonlinearity conditions are required which cannot be shown for the autoconvolution case according to current knowledge. We also discuss the complex-valued version of autoconvolution with full data on [0,2] and see that ill-posedness must be expected if unbounded amplitude functions are admissible. As a new detail, we present situations of local well-posedness if the domain of the autoconvolution operator is restricted to complex L2-functions with a fixed and uniformly bounded modulus function.
Keywords:
Autoconvolution equation, inverse problems, local well-posedness and ill-posedness, Tikhonov regularization, source conditions, convergence rates
Language:
English
Publication time:
12/2013