The characterization of the local ill-posedness and the local degree of nonlinearity are of particular importance
for the stable solution of nonlinear ill-posed problems.
We present assertions concerning the interdependence between the
ill-posedness of the nonlinear problem and its linearization. Moreover, we show that
the concept of the degree of nonlinearity com bined with source conditions can be
used to characterize the local ill-posedness and to derive a posteriori estimates
for nonlinear ill-posed problems. A posteriori estimates are widely used in finite
element and multigrid methods for the solution of nonlinear partial differential
equations,
but these techniques are in general not applicable to inverse an
ill-posed problems. Additionally we show for the well-known Landweber method
and the iteratively regularized Gauss-Newton method that they satisfy a posteriori
estimates under source conditions; this can be used to prove convergence rates
results.
The work of B.H. is supported in part by the Alexander von Humboldt Foundation Bonn (Germany)
and by the Johannes-Kepler-University Linz (Austria), the work of O.S. is supported in part by the
Christian Doppler Society (Austria) and by the Fonds zur Förderung der Wissenschaftlichen Forschung
(Austria) , SFB F1310